Top Banner
Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1 A. Albrecht Prob. Lectures for Phy 262
142

Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

Dec 25, 2015

Download

Documents

Leslie Sims
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

Origin of probabilities and their application to the multiverse

Andreas AlbrechtUC Davis

Phy 262 lecturesAdapted from a U. Penn Seminar

April, 2014

1A. Albrecht Prob. Lectures for Phy 262

Page 2: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 2

My history with this topic

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

Page 3: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 3

My history with this topicAll

randomness/probabilities are

quantum (coin flip, card choice etc)

Page 4: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 4

My history with this topic

Page: Quantum probabilities cannot

address key multiverse questions.

(OK, just use classical

ones)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

Page 5: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 5

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

Page 6: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 6

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

Hartle, Srednicki, Aguirre, Tegmark, …

Page 7: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 7

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the measure problems for

the multiverse

Page 8: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 8

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the measure problems for

the multiverseA potential issue even for finite models

Page 9: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 9

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the

measure problems for the

multiverseAA: Write paper

explaining this with Phillips

Page 10: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 10

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the

measure problems for the

multiverseAA: Write paper

explaining this with Phillips

AA: This is fundamentally about giving permission to dismiss certain probability

questions (the non quantum ones) as “ill posed”.

Page 11: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 11

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the

measure problems for the

multiverseAA: Write paper

explaining this with Phillips

AA: This is fundamentally about giving permission to dismiss certain probability

questions (the non quantum ones) as “ill

posed”.

Perhaps this type of discipline can help

resolve the measure problems of the

multiverse/eternal inflation

Page 12: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 12

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the

measure problems for the

multiverseAA: Write paper

explaining this with Phillips

AA: This is fundamentally about giving permission to dismiss certain probability

questions (the non quantum ones) as “ill

posed”.

Perhaps this type of discipline can help

resolve the measure problems of the

multiverse/eternal inflation

X ?

Page 13: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 13

My history with this topic

Page: Quantum probabilities

cannot address key multiverse

questions. (OK, just use

classical ones)

AA: All randomness/

probabilities are quantum (coin flip, card choice

etc)

All randomness/proba

bilities are quantum (coin flip,

card choice etc)

AA: A deeper problem than the

measure problems for the

multiverseAA: Write paper

explaining this with Phillips

AA: This is fundamentally about giving permission to dismiss certain probability

questions (the non quantum ones) as “ill

posed”.

Apparently this type of discipline can help

resolve the measure problems of the

multiverse/eternal inflation

X ?

Page 14: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 14

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 15: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 15

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

NB: Very different subject from “make probabilities

precise” in “Stanford sense”.

Page 16: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 16

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 17: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 17

Planck Data--- Cosmic Inflation theory

Page 18: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

-200 -100 0 100 2000

0.5

1

1.5

2

2.5x 10

4

/MP

V/M

GU

T4

Slow rolling of inflaton

A. Albrecht Prob. Lectures for Phy 262 18

Observable physics

generated here

Page 19: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

-200 -100 0 100 2000

0.5

1

1.5

2

2.5x 10

4

/MP

V/M

GU

T4

Slow rolling of inflaton

A. Albrecht Prob. Lectures for Phy 262 19

Observable physics

generated here Extrapolating

back

Page 20: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

-200 -100 0 100 2000

0.5

1

1.5

2

2.5x 10

4

/MP

V/M

GU

T4

Slow rolling of inflaton

Q

A. Albrecht Prob. Lectures for Phy 262 20

“Self-reproducing regime” (dominated by quantum

fluctuations): Eternal inflation/Multiverse

Observable physics

generated here Extrapolating

back

Steinhardt 1982, Linde 1982, Vilenkin 1983, and (then) many others

Page 21: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 21

Classically Rolling

A

Self-reproduction regime

Classically Rolling

C

Classically Rolling

B

Classically Rolling

D

The multiverse of eternal inflation with multiple classical rolling directions

Where are we? (Young universe, old universe, curvature, physical properties A, B, C, D, etc)

Page 22: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 22

Classically Rolling

A

Self-reproduction regime

Classically Rolling

C

Classically Rolling

B

Classically Rolling

D

The multiverse of eternal inflation with multiple classical rolling directions

Where are we? (Young universe, old universe, curvature, physical properties A, B, C, D, etc)

“Where are we?” Expect the theory to give you a probability distribution in this space… hopefully with some sharp predictions

Page 23: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 23

Classically Rolling

A

Self-reproduction regime

Classically Rolling

C

Classically Rolling

B

Classically Rolling

D

The multiverse of eternal inflation with multiple classical rolling directions

Where are we? (Young universe, old universe, curvature, physical properties A, B, C, D, etc)

“Where are we?” Expect the theory to give you a probability distribution in this space… hopefully with some sharp predictions

String theory landscape even more complicated (e.g. many

types of eternal inflation)

Page 24: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 24

Quantum vs Non-Quantum probabilities

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Page, 2009; These slides follow AA & Phillips 2012/14

Page 25: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 25

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U: ijP ij ij

Page 26: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 26

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

ijP ij ij

Page 27: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 27

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

Page 28: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 28

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

Classical Probabilities to measure

A, B

Page 29: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 29

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

ˆ ˆ ˆi j ij jPP P

Classical Probabilities to measure

A, B

Does not represent a

quantum measurement

Page 30: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 30

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

ˆ ˆ ˆi j ij jPP P

Classical Probabilities to measure

A, B

Does not represent a

quantum measurement

Page: The multiverse requires

this (are you in pocket universe A

or B?)

Page 31: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 31

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

ˆ ˆ ˆi j ij jPP P

Classical Probabilities to measure

A, B

Does not represent a

quantum measurement

Page: The multiverse requires

this (are you in pocket universe A

or B?)

Page 32: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 32

• All everyday probabilities are quantum probabilities

AA & D. Phillips 2012

Page 33: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 33

• All everyday probabilities are quantum probabilities

AA & D. Phillips 2012

Our *only* experiences with successful practical

applications of probabilities are with quantum

probabilities

Page 34: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 34

• All everyday probabilities are quantum probabilities

• One should not use ideas from everyday probabilities to justify probabilities that have been proven to have no quantum origin

AA & D. Phillips 2012

Page 35: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 35

• All everyday probabilities are quantum probabilities

• One should not use ideas from everyday probabilities to justify probabilities that have been proven to have no quantum origin

AA & D. Phillips 2012

A problem for many

multiverse theories

Page 36: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 36

• All everyday probabilities are quantum probabilities

• One should not use ideas from everyday probabilities to justify probabilities that have been proven to have no quantum origin

AA & D. Phillips 2012

A problem for many

multiverse theories (as practiced)

Page 37: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 37

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

ˆ ˆ ˆi j ij jPP P

Classical Probabilities to measure

A, B

Does not represent a

quantum measurement

Page: The multiverse requires

this (are you in pocket universe A

or B?)

Page 38: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 38

Quantum vs Non-Quantum probabilities

ˆ 1 1 2 2A AA B

iP i i i i i i 1

ˆ 1 1 2 2B BB A

iP i i i i i i 1

Non-Quantum probabilities in a toy model:

U A B : 1 , 2A A

A : 1 , 2B B

B

: 11 , 12 , 21 , 22UA B

ij i j

Possible Measurements Projection operators:

Measure A only:

Measure B only:

Measure entire U:

BUT: It is impossible to construct a projection operator for the case where you do not know whether it is A or B that is being measured.

Could Write

ˆ ˆ ˆA Bi A i B iP p P p P

ijP ij ij

ˆ ˆ ˆi j ij jPP P

Classical Probabilities to measure

A, B

Does not represent a

quantum measurement

Page: The multiverse requires

this (are you in pocket universe A

or B?)

Where do these come from anyway?

Page 39: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 39

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 40: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 40

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 41: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 41

Quantum effects in a billiard gas

l

b

r

Page 42: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 42

Quantum effects in a billiard gas

lQuantum Uncertainties

b

r

Page 43: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 43

b

Quantum effects in a billiard gas

l

r

pb x t

m

Page 44: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 44

Quantum effects in a billiard gas

l2

2

p lb x t a

m a mv

2

2exp

2

x

a

b

r

Page 45: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 45

Quantum effects in a billiard gas

l

min 3/2

22

2 / 22 dB

p lb x t a

m a mv

ll

mv

b

r

2

2exp

2

x

a

Page 46: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 46

Quantum effects in a billiard gas

l

min 3/2

22

2 / 22 dB

p lb x t a

m a mv

ll

mv

b

r

2

2exp

2

x

a

Minimizing conservative estimates for my purposes (also motivated by decoherence in some cases)

Page 47: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 47

1b

Quantum effects in a billiard gas

l

b

r

Subsequent collisions amplify the initial uncertainty (treat later collisions classically additional conservatism)

Page 48: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 48

1b

Quantum effects in a billiard gas

l 1 2 /

n

nb b l r

After n collisions:

b

r

Page 49: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 49

Quantum effects in a billiard gas

Qn is the number of collisions so thatQnb r

log

2log 1

Q

br

nlr

(full quantum uncertainty as to which is the next collision)

Page 50: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 50

AirWater BilliardsBumper Car

r l m v dB b Qn

for a number of physical systemsQn(all units MKS)

Page 51: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 51

AirWater BilliardsBumper Car

r l m v dB b Qn

for a number of physical systemsQn(all units MKS)

1 2 150 0.5 361.4 10 183.4 10 25

Page 52: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 52

AirWater BilliardsBumper Car

r l m v dB b Qn

for a number of physical systemsQn(all units MKS)

0.029 1 0.16 1 346.6 10 175.1 10 8

1 2 150 0.5 361.4 10 183.4 10 25

Page 53: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 53

AirWater BilliardsBumper Car

r l m v dB b Qn

for a number of physical systemsQn(all units MKS)

103.0 10 105.4 10 263 10 460 127.6 10 101.3 10 0.6

0.029 1 0.16 1 346.6 10 175.1 10 8

1 2 150 0.5 361.4 10 183.4 10 25

Page 60: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

An important role for Brownian motion: Uncertainty in neuron transmission times

Brownian motion of polypeptides determines exactly how many of them are blocking ion channels in neurons at any given time. This is believed to be the dominant source of neuron transmission time uncertainties 1nt ms

Image from http://www.nature.com/nrn/journal/v13/n4/full/nrn3209.html

Page 61: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 61

Analysis of coin flip

hv

fv

Coin diameter d

hf n

h f

vt t

v v

2t ft t

4 fvfd

0.5tN f t

Using:1nt ms 5 /h fv v m s

0.01d m

Page 62: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 62

Analysis of coin flip

hv

fv

Coin diameter d

hf n

h f

vt t

v v

2t ft t

4 fvfd

0.5tN f t

Using:1nt ms 5 /h fv v m s

0.01d m

50-50 coin flip probabilities are

a derivable quantum result

Page 63: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 63

Analysis of coin flip

hv

fv

Coin diameter d

hf n

h f

vt t

v v

2t ft t

4 fvfd

0.5tN f t

Using:1nt ms 5 /h fv v m s

0.01d m

50-50 coin flip probabilities are

a derivable quantum result

Without reference to “principle of

indifference” etc. etc.

Page 64: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 64

Analysis of coin flip

hv

fv

Coin diameter d

hf n

h f

vt t

v v

2t ft t

4 fvfd

0.5tN f t

Using:1nt ms 5 /h fv v m s

0.01d m

NB: Coin flip is “at the margin” of deterministic vs random: Increasing d or deceasing vh can reduce δN substantially

Page 65: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 65

Analysis of coin flip

hv

fv

Coin diameter d

hf n

h f

vt t

v v

2t ft t

4 fvfd

0.5tN f t

Using:1nt ms 5 /h fv v m s

0.01d m

NB: Coin flip is “at the margin” of deterministic vs random: Increasing d or deceasing vh can reduce δN substantially

Still, this is a good illustration of how quantum uncertainties can filter up into the macroscopic world, for

systems that *are* random.

Page 66: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 66

Analysis of coin flip

hv

fv

Coin diameter d

hf n

h f

vt t

v v

2t ft t

4 fvfd

0.5tN f t

Using:1nt ms 5 /h fv v m s

0.01d m

NB: Coin flip is “at the margin” of deterministic vs random: Increasing d or deceasing vh can reduce δN substantially

Still, this is a good illustration of how quantum uncertainties can filter up into the macroscopic world, for

systems that *are* random.

Page 67: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 67

Physical vs probabilities vs “probabilities of belief”

Bayes:

|

|P Data Theory

P Theory Data P TheoryP Data

Physical probability: To do with physical properties of detector etc

Page 68: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 68

Physical vs probabilities vs “probabilities of belief”

Bayes:

|

|P Data Theory

P Theory Data P TheoryP Data

Probabilities of belief:• Which data you trust most• Which theory you like best

Page 69: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 69

Physical vs probabilities vs “probabilities of belief”

Bayes:

This talk is about physical probability only

|

|P Data Theory

P Theory Data P TheoryP Data

Page 70: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 70

Physical vs probabilities vs “probabilities of belief”

Bayes:

NB: The goal of science is to get sufficiently good data that probabilities of belief are inconsequential

|

|P Data Theory

P Theory Data P TheoryP Data

Page 71: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 71

Physical vs probabilities vs “probabilities of belief”

Bayes:

NB: The goal of science is to get sufficiently good data that probabilities of belief are inconsequential

|

|P Data Theory

P Theory Data P TheoryP Data

Page 72: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 72

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

Page 73: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 73

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

…………

1

1 1 01

||

P D TP T D P T

P D

Page 74: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 74

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

…………

1

1 1 01

||

P D TP T D P T

P D

This initial “model uncertainty” prior is the only P(T) that is a pure probability of belief.

Page 75: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 75

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

…………

1

1 1 01

||

P D TP T D P T

P D

This initial “model uncertainty” prior is the only P(T) that is a pure probability of belief.

This talk is only about wherever it appears

|P D T

Page 76: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 76

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

…………

1

1 1 01

||

P D TP T D P T

P D

This initial “model uncertainty” prior is the only P(T) that is a pure probability of belief.

This talk is only about wherever it appears

|P D T

NB: The goal of science is to get sufficiently good data that probabilities of belief are inconsequential

Page 77: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 77

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

…………

1

1 1 01

||

P D TP T D P T

P D

This initial “model uncertainty” prior is the only P(T) that is a pure probability of belief.

This talk is only about wherever it appears

|P D T

NB: The goal of science is to get sufficiently good data that probabilities of belief are inconsequential

This is the only part of the formula where physical

randomness appears

Page 78: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 78

Physical vs probabilities vs “probabilities of belief”

Adding new data (theory priors can include earlier data sets):

5

5 5 45

||

P D TP T D P T

P D

4

4 4 34

||

P D TP T D P T

P D

…………

1

1 1 01

||

P D TP T D P T

P D

This initial “model uncertainty” prior is the only P(T) that is a pure probability of belief.

This talk is only about wherever it appears

|P D T

NB: The goal of science is to get sufficiently good data that probabilities of belief are inconsequential

This is the only part of the formula where physical

randomness appears

Page 79: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 79

• Proof by exhaustion not realistic

All everyday probabilities are quantum probabilities

Page 80: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 80

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument.

All everyday probabilities are quantum probabilities

Page 81: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 81

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument• Can still invent classical probabilities just to do multiverse

cosmology

All everyday probabilities are quantum probabilities

Page 82: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 82

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument• Can still invent classical probabilities just to do multiverse

cosmology• Not a problem for many finite theories (AA, Banks &

Fischler)

All everyday probabilities are quantum probabilities

Page 83: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 83

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument• Can still invent classical probabilities just to do multiverse

cosmology• Not a problem for many finite theories (AA, Banks &

Fischler)• Which theories really do require classical probabilities

not yet resolved rigorously.

All everyday probabilities are quantum probabilities

Page 84: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 84

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument• Can still invent classical probabilities just to do multiverse

cosmology• Not a problem for many finite theories (AA, Banks &

Fischler)• Which theories really do require classical probabilities

not yet resolved rigorously (symmetry?... simplicity? See below)

All everyday probabilities are quantum probabilities

Page 85: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 85

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument• Can still invent classical probabilities just to do multiverse

cosmology• Not a problem for many finite theories (AA, Banks &

Fischler)• Which theories really do require classical probabilities

not yet resolved rigorously (symmetry?... simplicity? See below)

All everyday probabilities are quantum probabilities

Some further thoughts:

Page 86: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 86

-60 -50 -40 -30 -20 -10 0 10-70

-60

-50

-40

-30

-20

-10

0

10

log(a/a0)

log(

RH/R

H0)

Here

Cosmic structureCo

smic

leng

th s

cale

Scale factor (measures expansion, time)

Today

Observable Structure

comoving

SBBHR

Cosmic structure originates “superhorizon” in Standard Big Bag

(why would they be quantum?)

A note on “probability censorship”

Page 87: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 87

-60 -50 -40 -30 -20 -10 0 10-70

-60

-50

-40

-30

-20

-10

0

10

log(a/a0)

log(

RH/R

H0)

Here

Cosmic structureCo

smic

leng

th s

cale

Scale factor (measures expansion, time)

Today

Observable Structure

comoving

SBBHR

Cosmic structure originates “superhorizon” in Standard Big Bag

(why would they be quantum?)InfHR

Cosmic structure originates in quantum

ground state in inflationary cosmology

A note on “probability censorship”

Page 88: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 88

• Proof by exhaustion not realistic• One counterexample (practical utility of non-quantum

probabilities) will undermine our entire argument• Can still invent classical probabilities just to do multiverse

cosmology• Not a problem for many finite theories (AA, Banks &

Fischler)• Which theories really do require classical probabilities

not yet resolved rigorously (symmetry?... simplicity? See below)

All everyday probabilities are quantum probabilities

Compare with identical particle statistics

Page 89: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 89

3.141592653589793238462643383279502884197169399375105820974944592307816406286 208998628034825342117067982148086513282306647093844609550582231725359408128481 117450284102701938521105559644622948954930381964428810975665933446128475648233 786783165271201909145648566923460348610454326648213393607260249141273724587006 606315588174881520920962829254091715364367892590360011330530548820466521384146 951941511609433057270365759591953092186117381932611793105118548074462379962749 567351885752724891227938183011949129833673362440656643086021394946395224737190 702179860943702770539217176293176752384674818467669405132000568127145263560827 785771342757789609173637178721468440901224953430146549585371050792279689258923 542019956112129021960864034418159813629774771309960518707211349999998372978049 951059731732816096318595024459455346908302642522308253344685035261931188171010 003137838752886587533208381420617177669147303598253490428755468731159562863882 353787593751957781857780532171226806613001927876611195909216420198938095257201 065485863278865936153381827968230301952035301852968995773622599413891249721775 283479131515574857242454150695950829533116861727855889075098381754637464939319 255060400927701671139009848824012858361603563707660104710181942955596198946767 837449448255379774726847104047534646208046684259069491293313677028989152104752 162056966024058038150193511253382430035587640247496473263914199272604269922796 782354781636009341721641219924586315030286182974555706749838505494588586926995 690927210797509302955321165344987202755960236480665499119881834797753566369807 426542527862551818417574672890977772793800081647060016145249192173217214772350 141441973568548161361157352552133475741849468438523323907394143334547762416862 518983569485562099219222184272550254256887671790494601653466804988627232791786 085784383827967976681454100953883786360950680064225125205117392984896084128488 626945604241965285022210661186306744278622039194945047123713786960956364371917 287467764657573962413890865832645995813390478027590099465764078951269468398352 595709825822620522489407726719478268482601476990902640136394437455305068203496

Further discussion

Bet on the millionth digit of π (or Chaitin’s Ω)

(Carroll)

Page 90: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 90

3.141592653589793238462643383279502884197169399375105820974944592307816406286 208998628034825342117067982148086513282306647093844609550582231725359408128481 117450284102701938521105559644622948954930381964428810975665933446128475648233 786783165271201909145648566923460348610454326648213393607260249141273724587006 606315588174881520920962829254091715364367892590360011330530548820466521384146 951941511609433057270365759591953092186117381932611793105118548074462379962749 567351885752724891227938183011949129833673362440656643086021394946395224737190 702179860943702770539217176293176752384674818467669405132000568127145263560827 785771342757789609173637178721468440901224953430146549585371050792279689258923 542019956112129021960864034418159813629774771309960518707211349999998372978049 951059731732816096318595024459455346908302642522308253344685035261931188171010 003137838752886587533208381420617177669147303598253490428755468731159562863882 353787593751957781857780532171226806613001927876611195909216420198938095257201 065485863278865936153381827968230301952035301852968995773622599413891249721775 283479131515574857242454150695950829533116861727855889075098381754637464939319 255060400927701671139009848824012858361603563707660104710181942955596198946767 837449448255379774726847104047534646208046684259069491293313677028989152104752 162056966024058038150193511253382430035587640247496473263914199272604269922796 782354781636009341721641219924586315030286182974555706749838505494588586926995 690927210797509302955321165344987202755960236480665499119881834797753566369807 426542527862551818417574672890977772793800081647060016145249192173217214772350 141441973568548161361157352552133475741849468438523323907394143334547762416862 518983569485562099219222184272550254256887671790494601653466804988627232791786 085784383827967976681454100953883786360950680064225125205117392984896084128488 626945604241965285022210661186306744278622039194945047123713786960956364371917 287467764657573962413890865832645995813390478027590099465764078951269468398352 595709825822620522489407726719478268482601476990902640136394437455305068203496

Further discussion

Bet on the millionth digit of π (or Chaitin’s Ω)• The *only* thing random is the choice of digit to bet on

Page 91: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 91

3.141592653589793238462643383279502884197169399375105820974944592307816406286 208998628034825342117067982148086513282306647093844609550582231725359408128481 117450284102701938521105559644622948954930381964428810975665933446128475648233 786783165271201909145648566923460348610454326648213393607260249141273724587006 606315588174881520920962829254091715364367892590360011330530548820466521384146 951941511609433057270365759591953092186117381932611793105118548074462379962749 567351885752724891227938183011949129833673362440656643086021394946395224737190 702179860943702770539217176293176752384674818467669405132000568127145263560827 785771342757789609173637178721468440901224953430146549585371050792279689258923 542019956112129021960864034418159813629774771309960518707211349999998372978049 951059731732816096318595024459455346908302642522308253344685035261931188171010 003137838752886587533208381420617177669147303598253490428755468731159562863882 353787593751957781857780532171226806613001927876611195909216420198938095257201 065485863278865936153381827968230301952035301852968995773622599413891249721775 283479131515574857242454150695950829533116861727855889075098381754637464939319 255060400927701671139009848824012858361603563707660104710181942955596198946767 837449448255379774726847104047534646208046684259069491293313677028989152104752 162056966024058038150193511253382430035587640247496473263914199272604269922796 782354781636009341721641219924586315030286182974555706749838505494588586926995 690927210797509302955321165344987202755960236480665499119881834797753566369807 426542527862551818417574672890977772793800081647060016145249192173217214772350 141441973568548161361157352552133475741849468438523323907394143334547762416862 518983569485562099219222184272550254256887671790494601653466804988627232791786 085784383827967976681454100953883786360950680064225125205117392984896084128488 626945604241965285022210661186306744278622039194945047123713786960956364371917 287467764657573962413890865832645995813390478027590099465764078951269468398352 595709825822620522489407726719478268482601476990902640136394437455305068203496

Further discussion

Bet on the millionth digit of π (or Chaitin’s Ω)• The *only* thing random is the choice of digit to bet on• Fairness is about lack of correlation between digit choice

and digit value

Page 92: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 92

3.141592653589793238462643383279502884197169399375105820974944592307816406286 208998628034825342117067982148086513282306647093844609550582231725359408128481 117450284102701938521105559644622948954930381964428810975665933446128475648233 786783165271201909145648566923460348610454326648213393607260249141273724587006 606315588174881520920962829254091715364367892590360011330530548820466521384146 951941511609433057270365759591953092186117381932611793105118548074462379962749 567351885752724891227938183011949129833673362440656643086021394946395224737190 702179860943702770539217176293176752384674818467669405132000568127145263560827 785771342757789609173637178721468440901224953430146549585371050792279689258923 542019956112129021960864034418159813629774771309960518707211349999998372978049 951059731732816096318595024459455346908302642522308253344685035261931188171010 003137838752886587533208381420617177669147303598253490428755468731159562863882 353787593751957781857780532171226806613001927876611195909216420198938095257201 065485863278865936153381827968230301952035301852968995773622599413891249721775 283479131515574857242454150695950829533116861727855889075098381754637464939319 255060400927701671139009848824012858361603563707660104710181942955596198946767 837449448255379774726847104047534646208046684259069491293313677028989152104752 162056966024058038150193511253382430035587640247496473263914199272604269922796 782354781636009341721641219924586315030286182974555706749838505494588586926995 690927210797509302955321165344987202755960236480665499119881834797753566369807 426542527862551818417574672890977772793800081647060016145249192173217214772350 141441973568548161361157352552133475741849468438523323907394143334547762416862 518983569485562099219222184272550254256887671790494601653466804988627232791786 085784383827967976681454100953883786360950680064225125205117392984896084128488 626945604241965285022210661186306744278622039194945047123713786960956364371917 287467764657573962413890865832645995813390478027590099465764078951269468398352 595709825822620522489407726719478268482601476990902640136394437455305068203496

Further discussion

Bet on the millionth digit of π (or Chaitin’s Ω)• The *only* thing random is the choice of digit to bet on• Fairness is about lack of correlation between digit choice

and digit value• Choice of digit comes from Brain (neurons with quantum uncertainties) Random number generator seed time stamp

(when you press ENTER) brain Etc

Page 93: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 93

3.141592653589793238462643383279502884197169399375105820974944592307816406286 208998628034825342117067982148086513282306647093844609550582231725359408128481 117450284102701938521105559644622948954930381964428810975665933446128475648233 786783165271201909145648566923460348610454326648213393607260249141273724587006 606315588174881520920962829254091715364367892590360011330530548820466521384146 951941511609433057270365759591953092186117381932611793105118548074462379962749 567351885752724891227938183011949129833673362440656643086021394946395224737190 702179860943702770539217176293176752384674818467669405132000568127145263560827 785771342757789609173637178721468440901224953430146549585371050792279689258923 542019956112129021960864034418159813629774771309960518707211349999998372978049 951059731732816096318595024459455346908302642522308253344685035261931188171010 003137838752886587533208381420617177669147303598253490428755468731159562863882 353787593751957781857780532171226806613001927876611195909216420198938095257201 065485863278865936153381827968230301952035301852968995773622599413891249721775 283479131515574857242454150695950829533116861727855889075098381754637464939319 255060400927701671139009848824012858361603563707660104710181942955596198946767 837449448255379774726847104047534646208046684259069491293313677028989152104752 162056966024058038150193511253382430035587640247496473263914199272604269922796 782354781636009341721641219924586315030286182974555706749838505494588586926995 690927210797509302955321165344987202755960236480665499119881834797753566369807 426542527862551818417574672890977772793800081647060016145249192173217214772350 141441973568548161361157352552133475741849468438523323907394143334547762416862 518983569485562099219222184272550254256887671790494601653466804988627232791786 085784383827967976681454100953883786360950680064225125205117392984896084128488 626945604241965285022210661186306744278622039194945047123713786960956364371917 287467764657573962413890865832645995813390478027590099465764078951269468398352 595709825822620522489407726719478268482601476990902640136394437455305068203496

Further discussion

Bet on the millionth digit of π (or Chaitin’s Ω)• The *only* thing random is the choice of digit to bet on• Fairness is about lack of correlation between digit choice

and digit value• Choice of digit comes from Brain (neurons with quantum uncertainties) Random number generator seed time stamp

(when you press ENTER) brain Etc

• The only randomness in a bet on a digit of π is quantum!

Page 94: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 94

10001000111101010

10001000101001010

10001000101101010

11011000101001010

10001010111101010

Classical Computer: The “computational degrees of freedom” of a classical computer are very classical: Engineered to be well isolated from the quantum fluctuations that are everywhere • Computations are deterministic• “Random” is artificial• Model a classical billiard gas on

a computer: All “random” fluctuations

are determined by (or “readings of”) the initial state.

Further discussion

Page 95: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 95

10001000111101010

10001000101001010

10001000101101010

11011000101001010

10001010111101010

Classical Computer: The “computational degrees of freedom” of a classical computer are very classical: Engineered to be well isolated from the quantum fluctuations that are everywhere • Computations are deterministic• “Random” is artificial• Model a classical billiard gas on

a computer: All “random” fluctuations

are determined by (or “readings of”) the initial state.

Further discussion

Std. thinking about classical

probabilities

Page 96: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 96

10001000111101010

10001000101001010

10001000101101010

11011000101001010

10001010111101010

Classical Computer: The “computational degrees of freedom” of a classical computer are very classical: Engineered to be well isolated from the quantum fluctuations that are everywhere • Computations are deterministic• “Random” is artificial• Model a classical billiard gas on

a computer: All “random” fluctuations

are determined by (or “readings of”) the initial state.

Further discussion

Std. thinking about classical

probabilitiesSee digits of

discussion

Page 97: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 97

10001000111101010

10001000101001010

10001000101101010

11011000101001010

10001010111101010

Classical Computer: The “computational degrees of freedom” of a classical computer are very classical: Engineered to be well isolated from the quantum fluctuations that are everywhere • Computations are deterministic• “Random” is artificial• Model a classical billiard gas on

a computer: All “random” fluctuations

are determined by (or “readings of”) the initial state.

Further discussion

Std. thinking about classical

probabilitiesSee digits of

discussion

My claim: • The real world does not have

these sorts of solid classical ties to initial conditions.

• If it did, that would be a counterexample to my claim

• Quantum prob. enters randomness on a real computer via IC’s

Page 98: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 98

Our ideas about probability are like our ideas about color:• Quantum physics gives the correct foundation to

our understanding• Our “classical” intuition predates our knowledge

of QM by a long long time, and works just fine for most things

• Fundamental quantum understanding needed to fix classical misunderstandings in certain cases.

Further discussion

Page 99: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 99

Our ideas about probability are like our ideas about color:• Quantum physics gives the correct foundation to

our understanding• Our “classical” intuition predates our knowledge

of QM by a long long time, and works just fine for most things

• Fundamental quantum understanding needed to fix classical misunderstandings in certain cases.

Further discussion

Page 100: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 100

Our ideas about probability are like our ideas about color:• Quantum physics gives the correct foundation to

our understanding• Our “classical” intuition predates our knowledge

of QM by a long long time, and works just fine for most things

• Fundamental quantum understanding needed to fix classical misunderstandings in certain cases.

Further discussion

Page 101: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 101

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 102: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 102

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 103: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 103

Central message:

• “Randomness is (quantum) physics”• Counting may or MAY NOT have a role in

inferring or representing physical randomness

Heads

Page 104: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 104

Central message:

• “Randomness is (quantum) physics”• Counting may or MAY NOT have a role in

inferring or representing physical randomness• Example: Flip a coin and choose a ball:

Heads

Tails

Results

Page 105: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 105

Central message:

• “Randomness is (quantum) physics”• Counting may or MAY NOT have a role in

inferring or representing physical randomness• Example: Flip a coin and choose a ball:

Heads

TailsCounts of red & green

balls here can be related in very

concrete terms to the probability of heads

vs tails

Page 106: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 106

Central message:

• “Randomness is (quantum) physics”• Counting may or MAY NOT have a role in

inferring or representing physical randomness• Example: Flip a coin and choose a ball:

Heads

TailsCounts of red & green

balls here can be related in very

concrete terms to the probability of heads

vs tails

Page 107: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

107

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?

HeadsA. Albrecht Prob. Lectures for Phy 262

Results

Page 108: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

108

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results Results

Page 109: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

109

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)• Counting is NOT enough.

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results Results

Page 110: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

110

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)• Counting is NOT enough.

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results ResultsIn a multiverse with many copies

of you, there simply is *no* physical completion for the

question “which observer am I?”. Future data may address this, but not in time to make predictions.

Page 111: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

111

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)• Counting is NOT enough.

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results ResultsIn a multiverse with many copies

of you, there simply is *no* physical completion for the

question “which observer am I?”. Future data may address this, but not in time to make predictions.

Page 112: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

112

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)• Counting is NOT enough.

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results ResultsIn a multiverse with many copies

of you, there simply is *no* physical completion for the

question “which observer am I?”. Future data may address this, but not in time to make predictions.

This is where things go wrong in the

standard treatment of the multiverse

Page 113: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

113

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)• Counting is NOT enough.

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results ResultsIn a multiverse with many copies

of you, there simply is *no* physical completion for the

question “which observer am I?”. Future data may address this, but not in time to make predictions.

This is where things go wrong in the

standard treatment of the multiverse

In many cases counting observers has no predictive

value

Page 114: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

114

Now ask: What is the probability that a ball drawn from the “Results” bowl is red?• Different physical “completions” of this question are

possible which give different answers. (≈ measures)• Counting is NOT enough.

Heads

Tails

A. Albrecht Prob. Lectures for Phy 262

Results

Results ResultsIn a multiverse with many copies

of you, there simply is *no* physical completion for the

question “which observer am I?”. Future data may address this, but not in time to make predictions.

This is where things go wrong in the

standard treatment of the multiverse

In many cases counting observers has no predictive

value

No point in counting for these

cases

Page 115: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 115

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 116: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 116

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 117: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 117

Outline

1) Quantum vs non-quantum probabilities (toy model/multiverse)

2) Everyday probabilities

3) Be careful about counting!

4) Implications for multiverse/eternal inflation

Page 118: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 118

Pocket A with quantum amplitude so

118

118

118

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

Pocket B with quantum amplitude so

Page 119: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 119

Pocket A with Ap

Pocket B with Bp

119

119

119

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

(from quantum branching ratio)

Page 120: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 120

Pocket A with Ap

Pocket B with Bp

120

120

120

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflationOne semiclassical universe having many more possible observers in it than another (often counted

by volume), does *not* give that universe greater statistical weight. Quantum branching ratio into one

vs the other ( ) does count/A Bp p

Page 121: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 121

Pocket A with Ap

Pocket B with Bp

121

121

121

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

Page 122: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 122

Pocket A with Ap Pocket B with Bp

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

Page 123: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 123

Pocket A with Ap Pocket B with Bp

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

This model has no “Boltzmann Brain” problem as long as

Is not too small/A Bp p

Page 124: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 124

Pocket A with Ap Pocket B with Bp

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

This model has no “Boltzmann Brain” problem as long as

Is not too small/A Bp p

Boltzmann brains are observers which look good vs current data but which

quickly go bad

Page 125: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 125

Pocket A with Ap Pocket B with Bp

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

Page 126: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 126

Pocket A with Ap Pocket B with Bp

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

Are there additional amplitudes hidden in this picture?

If so, they may provide a more detailed (and well defined) measure

Page 127: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

A. Albrecht Prob. Lectures for Phy 262 127

More pocket universes produced later vs earlier (due to more inflation)

Page 128: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

A. Albrecht Prob. Lectures for Phy 262 128

More pocket universes produced later vs earlier (due to more inflation) & experience any time cutoff

Time cutoff regulator

Page 129: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

A. Albrecht Prob. Lectures for Phy 262 129

More pocket universes produced later vs earlier (due to more inflation) & experience any time cutoff

Time cutoff regulator

Page 130: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

A. Albrecht Prob. Lectures for Phy 262 130

More pocket universes produced later vs earlier (due to more inflation) & experience any time cutoff

Time cutoff regulator See also Guth & Vanchurin

Page 131: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

A. Albrecht Prob. Lectures for Phy 262 131

More pocket universes produced later vs earlier (due to more inflation) & experience any time cutoff

Time cutoff regulator

Wavefunction cannot give probabilities for which pocket you are in.

Time cutoff only there as (wrong) attempt to determine which pocket

The youngness/end of time problem is asking a question the theory cannot answer

Page 132: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 132

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

2|A Ap

Quantum Branching

A

B2|B Bp

Eternal inflation

Page 133: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 133

1) No “volume factors”2) Boltzmann Brain problem reduced3) No “youngness/end of time” problem

Implications for eternal inflation

2|A Ap

Quantum Branching

A

B2|B Bp

ABB

A

B

BB

A

ABA`

Eternal inflation

Answer given by these

No need to worry about counting infinite A’s and B’s (if sufficient symmetry)

Page 134: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 134

1) All practically applicable probabilities are of physical (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems apparently resolved

Conclusions

Page 135: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 135

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problem

Conclusions I still have other concerns about eternal inflation that

makes me prefer finite theories, but this “probability

discipline” may resolve what I used to think was the most

troubling issue

Page 136: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 136

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems apparently resolved

Conclusions I still have other concerns about eternal inflation that

makes me prefer finite theories, but this “probability

discipline” may resolve what I used to think was the most

troubling issue

Landscape OK too

Page 137: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 137

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems apparently resolved

Conclusions I still have other concerns about eternal inflation that

makes me prefer finite theories, but this “probability

discipline” may resolve what I used to think was the most

troubling issue

Landscape OK too

In a systematic treatment the

classical probabilities will reappear as

“priors”. Same math but very different

role.

Page 138: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 138

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems appaently resolved

Conclusions

Perhaps related to work by Nomura and

Garriga & Vilenkin and collaborators

I still have other concerns about eternal inflation that

makes me prefer finite theories, but this “probability

discipline” may resolve what I used to think was the most

troubling issue

Landscape OK too

In a systematic treatment the

classical probabilities will reappear as

“priors”. Same math but very different

role.

Page 139: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 139

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems apparently resolved

Conclusions

Perhaps related to work by Nomura and

Garriga & Vilenkin and collaborators

I still have other concerns about eternal inflation that

makes me prefer finite theories, but this “probability

discipline” may resolve what I used to think was the most

troubling issue

Landscape OK too

Clashes with my work on the “clock ambiguity”

In a systematic treatment the

classical probabilities will reappear as

“priors”. Same math but very different

role.

Page 140: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 140

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems apparently resolved

Conclusions

Page 141: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 141

1) All practically applicable probabilities are of physics (quantum) origin.

2) Counting of objects may or MAY NOT be a way of accessing legitimate quantum probabilities

3) Standard discussions of probabilities in cosmology often make errors re 2)

4) 1) and care about 2) allow us to introduce better discipline into cosmological discussions (just say “no”). Implications so far:

a) No (counting based) volume factorsb) Reduced Boltzmann Brain problemc) No youngness/end of time problemd) Measure problems apparently resolved

Conclusions

Page 142: Origin of probabilities and their application to the multiverse Andreas Albrecht UC Davis Phy 262 lectures Adapted from a U. Penn Seminar April, 2014 1A.

A. Albrecht Prob. Lectures for Phy 262 142

3.141592653589793238462643383279502884197169399375105820974944592307816406286 208998628034825342117067982148086513282306647093844609550582231725359408128481 117450284102701938521105559644622948954930381964428810975665933446128475648233 786783165271201909145648566923460348610454326648213393607260249141273724587006 606315588174881520920962829254091715364367892590360011330530548820466521384146 951941511609433057270365759591953092186117381932611793105118548074462379962749 567351885752724891227938183011949129833673362440656643086021394946395224737190 702179860943702770539217176293176752384674818467669405132000568127145263560827 785771342757789609173637178721468440901224953430146549585371050792279689258923 542019956112129021960864034418159813629774771309960518707211349999998372978049 951059731732816096318595024459455346908302642522308253344685035261931188171010 003137838752886587533208381420617177669147303598253490428755468731159562863882 353787593751957781857780532171226806613001927876611195909216420198938095257201 065485863278865936153381827968230301952035301852968995773622599413891249721775 283479131515574857242454150695950829533116861727855889075098381754637464939319 255060400927701671139009848824012858361603563707660104710181942955596198946767 837449448255379774726847104047534646208046684259069491293313677028989152104752 162056966024058038150193511253382430035587640247496473263914199272604269922796 782354781636009341721641219924586315030286182974555706749838505494588586926995 690927210797509302955321165344987202755960236480665499119881834797753566369807 426542527862551818417574672890977772793800081647060016145249192173217214772350 141441973568548161361157352552133475741849468438523323907394143334547762416862 518983569485562099219222184272550254256887671790494601653466804988627232791786 085784383827967976681454100953883786360950680064225125205117392984896084128488 626945604241965285022210661186306744278622039194945047123713786960956364371917 287467764657573962413890865832645995813390478027590099465764078951269468398352 595709825822620522489407726719478268482601476990902640136394437455305068203496