Procesy stochastyczne, proste modele i...

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Procesy stochastyczne, proste modele i zastosowania

•błądzenie przypadkowe, ruch Browna

•równanie dyfuzji

•stochastyczne równania różniczkowe

Błądzenie przypadkowe w jednym wymiarze: cząstka wykonuje ruch w prawo z prawdopodobieństwem p i w lewo z prawdopodobieństwem q

2ln21ln

2

ln222

)1(2

ln21

2

)1(2

ln21

2ln)2/1(),(ln

qmN

pmNmNmNNmNmN

NmNmNNNNNmp

)(2ln21ln)

21(!ln 1 NONNNN

By using Stirling’s formula

22

,22

2

mNqlmN

mNprmNmNNpmmm

NqmmNq

NpmmNpNpq

NqmNqmNq

NpmNpmNp

qmNqpmNp

NNNmp

21ln

21

2

21ln

21

2)2ln(

21

)2

1(ln21

2

)2

1(ln21

2

ln2

ln2

2ln21ln

21),(ln

In total N steps the position m on a 1-dim lattice is achieved with the probabilityp(m,N): l steps have been performed to the left (with probability q) and r steps to the right (with probability p)! r=m+l, m+2l=N

Expanding the logarithm,

Npqpqm

NpqmNpqNmp

yields

xOxxx

4)(

4)(

21)2ln(

21),(ln

)(21)1ln(

2

32

))((4

)()()(

4

2/1

22

2

NpONpq

pqmOmNpq

We want to approximate thedistribution in its center and up to fluctuations around the mean value,

so we can neglect the last term in theabove equation for

Npqm

NpqNmp

4)(

21exp

422),(

2

Continuum limit...

Probability of findinga random walker in aninterval of width 2

around a position x attime t.

We require now:

x

constDtxpq

tx

2)(2

0,0

dxDtxx

Dtdxtxp

2)(

21exp

221),(

2

txpqD

tNtxmxxmx

2)(2

,

Dtxx

DtxtNxmp

2)(

21exp

222),(

2

constvtxptx

ttxpxNpmxtx

)21(2,0,0

)21(2)

21(2)(

Dtvtx

Dtxtxp

2)(

21exp

222),(

2

With starting condition

and boundary condition),(),(),(

0),()()0,(

2

2

txpx

Dtxpx

vtxpt

txpxxp

x

txxvpDp

txxvqDq

txqxvq

txpxpv

txp

txpp

txpqD

NmqpNmppNmp

2

2

22

222

)()(

)()(

)()()1()1(

)()1()()1)(12()(2

),1(),1()1,(

A master equation for thediscrete random walker

Fokker-Planck-Smoluchowskiequation

),(1)(

2

)(),1(),(2),1(

),1(),1(),()1,(

2

2

Nmptx

D

xNmpNmpNmpD

NmpxvqNmp

xvp

tNmpNmp

),(1)(

2)(

),1(),(2),1(

),(),1(

),1(),(),()1,(

),(1)(

2)(

),1(),(2),1(

),1(),1(),()1,(

2

2

2

2

Nmpxvq

xvp

txD

xNmpNmpNmpD

xNmpNmpvq

xNmpNmpvp

tNmpNmp

Nmptx

Dx

NmpNmpNmpD

NmpxvqNmp

xvp

tNmpNmp

Reinsert v and D

into the lastterm of eq.

Taking the continuum limit and keeping v and D constant, we arrive again at the Fick-diffusionequation!

Błądzenie przypadkowe z symetrycznym prawdopodobieństwemp=q=1/2 (…nieco inne rozwiązanie)

Simple polymer models... Random walk revisited.

Thermodynamics....

F