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2.2. Competition Phenomena 1. Volterra-Lotka Competition Equations 2. Population Dynamics of Fox Rabies in Europe 3. Selection and Evolution of Biological Molecules 4. Laser Beam Competition Equations 5. Rapoport's Model for the Arms Race
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2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Dec 20, 2015

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Page 1: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

2.2. Competition Phenomena

1. Volterra-Lotka Competition Equations

2. Population Dynamics of Fox Rabies in Europe

3. Selection and Evolution of Biological Molecules

4. Laser Beam Competition Equations

5. Rapoport's Model for the Arms Race

Page 2: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

2.2.1. Volterra-Lotka Competition Equations

Predator-Prey Relationship

B B B B L BN N g N N

L L L L B LN N g N N

big (predator) fish

little (prey) fish

0B Lg g

0 expB B BN t N t

0 expL L LN t N t

If then

Page 3: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Solutions to predator-prey problems are usually cyclic with a difference in phase between NB and NL.

Page 4: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Rabbits-Foxes Equations

2r r rf

f f rf

MF04.nb 02-2.nb

MF04.mws

Page 5: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Generalizations

LL L L L B L

NN N g N N

Verhulst term

is the saturation number

Time-lag: Problem 2-26

Limited Resources:

Page 6: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

2.2.2. Population Dynamics of Fox Rabies in Europe

Rabies epidemic in central Europe.

Originated in Poland in 1939

Transmitted primarily by the fox population

Page 7: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Model

3 categories of fox population:1. Susceptibles: population density X.

Currently health but susceptible to infection.

2. Infected: population density Y Infected, cannot infect the susceptibles.

3. Infectuous: population density Z, Infected, can infect the susceptibles.

No recovered category -- high mortality rate

Page 8: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

X aX b N X XZ

Y XZ b N Y

Z Y b N Z

N X Y Z

Symbol Meaning Value

a average per capita birth rate 1 yr1

b average per capita natural death rate 0.5 yr1

rabies transmission coefficient 79.67 km2 yr1

inverse of latent period (~28 to 30 days) 13 yr1

death rate rabid foxes (average life expectancy ~ 5 days )

73 yr1

coefficient of limited food supply 0.1 to 5 km2 yr1

Page 9: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Population Dynamics For Fox Rabies ( X healthy, Y infected foxes )

MF05.nb

MF05.mws

0.1

Page 10: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

2.2.3. Selection and Evolution of Biological Molecules

Eigen and Schuster :• 1st carriers of genetic information:

self-replicating strands of RNA

• Mutations:slight errors in the duplication of the nucleotide sequences

• Food:energy-rich monomers

• Selection- evolution:Darwinian survival-of- the-fittest

Page 11: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Symbol Meaning

Xk(t) concentration of species k

Aktotal reproduction rate of species k,

including mutations

Qkfraction of copies that are precise

(quality factor of species k)

Dk decomposition (death) rate of species k

klmutation coefficient for producing species k

due to errors in the replication of species l

Wk Ak Qk Dk

net intrinsic rate of producing exact copies

Page 12: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Linear rate equation for producing species k

1

N

k k k kl ll k

X t W X t X t

Conservation relation (Eigen and Schuster’s selection criteria)

,

1k k k kl lk k l k l

A Q X X

Since 1 Qk is the fraction of mutations:

kk

X n const

0k kk k

dX X

dt

Page 13: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

1k k k k k kk k k

X W X A Q X

1k k k k k k kk k

A Q D X A Q X

k k kk

A D X

If Dk > Ak , the species will die out even without competition.

Let Dk < Ak , or Ek Ak – Dk > 0 for all k, then

0k k kk k

X E X

“Dilution term” needed to satisfy constraints

Page 14: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

1

N

k k k kl l kl k

X t W X t X t X

Assume for simplicity: 0 kk

X

0 k k kk

A D X k kk

E X

k k

k

kk

E XE t

X

1

N

k k k kl ll k

X t W E X t X t

(Quasi-species model)

Page 15: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Case N 2 is a Riccati equation:

21 2 0X aX f t X f t

See Problem 2-31To be solved in Chapter 5

Page 16: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

2.2.4. Laser Beam Competition Equations

Ruby Laser: 6943A.Gas cell: liquid CCl4 colored with trace I2.

Page 17: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

I2 molecules excited by absorbing photons of energy

L S

De-excitations via collisions with molecules of host liquid.

Thermal fluctuations modulation of refractive index of liquid scattering between the laser beams.

Stimulated Thermal Scattering

Page 18: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

LL S L

dIgI I I

dz

SL S S

dIgI I I

dz

0

To establish steady state, duration of light pulses must be long compared to the lifetime of the thermal fluctuations.

Laser beams travelling in opposite direction inside cell

LL S L

dIgI I I

dz

SL S S

dIgI I I

dz

Laser beams travelling in same direction inside cell

1 2ndy

f z y f ydz

Bernoulli equation [see chapter 5]

Page 19: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

2.2.5. Rapoport's Model for the Arms Race

L.F. Richardson: Defense budgets of European nations for 1909-13.

1X a Y2Y a X

aj > 0

1 2a a k For

0 0 k tX t Y t X Y e

Page 20: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

Rapoport Budget growth rates:

accelerated in times of crisis decelerated during peace times

21 1 1X m X a Y bY

22 2 2Y m Y a X b X

Page 21: 2.2. Competition Phenomena 1.Volterra-Lotka Competition Equations 2.Population Dynamics of Fox Rabies in Europe 3.Selection and Evolution of Biological.

MF06.nb MF06.mws.