MATH180B: Introduction to Stochastic Processes I www.math.ucsd.edu/~ynemish/180b This week: HW3 due Friday, January 32, 23:59 pm Regrades for HW2: Tuesday, Feb 4, 8am-11pm Today: First step analysis Next: PK 3.5 → NO Home Wark
MATH180B: Introduction to Stochastic Processes I
www.math.ucsd.edu/~ynemish/180b
This week:
HW3 due Friday, January 32, 23:59 pm
Regrades for HW2: Tuesday, Feb 4, 8am-11pm
Today: First step analysisNext: PK 3.5
→NO Home Wark
Firststepanalysis-Thesimplest-settings.rs states
Suppose we have Markov chain on { ostie } with
transition probabilitz matrix
Rap -1¥ Lins
* !ËÊ " l' E '
traçâto o I Start at X. = I
If the process baves 1, it is trappes in
Questions : where ( in which state ) will the process be trappe%?
Hon long will Au process story at I Can average)?
Both questions lead to simple linear équations with
coefficients x. pa z .
FirstslepanalysisfirstsolutionslJenote :
F- min {nzo : Xn⇒ or Xn = 23 - absorption time
a =P( Xt -- o IX. = , ) (probability to end up at o
starting from I )what trappeurs at n=t ? Condition on possible outâmesP (Xt = 01×0--1 ,X ,
= a) =L P (Xt = 0 IX. =L ,X , =2) = O
P ( Xt = 01 X. =L ,X,= 1) = le =P (XT = 01×0=1 )
u =P (Xt --01×0--1 ) = Ê P ( Xt⇒ IX. =L , Xi - i ) - P(X , -- il X.=/ )
= P(Xt⇒ 1×0=1 ,X ,- o) - PCX ,⇒ 1×0=1) t - - -
= t.RO t U . Pi , + 0 . Piz = l - L + u.pt O -j
⇒ a- a + up ⇒a = # = ¥
ExampleL
¥3 h ,r bi
o o'¥
.
"
Questions :
(a) Starting from O,what is the probability of hitting 6 ? Yy
O L R
P= ! ( È È È )"=P ( hitting 6) = Plgettiug trapped in r)
"ce = x + pu = f- + tu -- É-tH+Éu#
ÊIÈËÊ ) a-- Es -- t -¥4
First step unalysis .
First solutions
Dénote1-= min {neo : Xn⇒ or Xn = 23 - absorption time Casa bove)] = E (T IX. = I ) (time (expected ) speut af 1)
Try to get an équation for V :
✓ = E (T IX. = 1) = ÊECTIX - t,Xii ) P (X , -- il X. = 1)
= ÊECT IX.⇒ , X. = i ) . pi JEAN.⇒ Mio)- t
ECTIXOY ,XFD⇒= t - x + ( Itv) -
p + t -t = tt PV ECTIX.MX#)--tt✓ = #
Double check : p (T=k IX. = 1) = pk! ( t - p) for K- ci? --
ECTIX .- 1) = Être p" f- p ) = ¥
Example ( t more than one step )-
R213 5
"
20 8 03 • D qO
it :o o'è" R
Questions :O
F- min { n : Xn = l or Xn = a }E (Tt X.→ ) =Ë = É(c) Starting from I , howmany steps (on average) to hit 3 ? 3
Le t F- min { n : Xu =3 } ,start from I f- ECT IX. = 1)
f- ECT IX. =L , Xi - 2) = Pas " ⇒⑤+ECT IX.H , X , -2,4=1) . R, = §. Et ( ztp) fr-2 xp -t
firststepanalysis.Nstates-XDnz.isa Markov Chain on {ah 2 . . _ , N } with
transition pro babitity matrix ,first r states toi , _ _ , r- is
are transi ent , { r , - - en } are absor
bing.nl: :p:-.::::ui = Vik =P ( absorption ink / Xo - i )
N
= ZP ( absorption in k / X.= i. Xi -j ) - Pijf-oui
,
= t - Pik + oË Ë'
ai - Pis.