Problem set #1 for 5.72 (spring 2012) Cao

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Problem set #1 for 5.72 (spring 2012) Cao

I.

Consider a random walk on a linear three-site model. 𝑝 and π‘ž are the probabilities of moving right and left respectively. ( 𝑝 + π‘ž = 1 )

𝐴

1 𝑝 π‘ž

𝐴

2 𝑝 π‘ž

𝐴

3

1) Write the transition matrix 𝑄 .

2) Find the stationary distribution and show that it satisfies detailed balance.

3) For the special case of 𝑝 = π‘ž =

1

2

, compute the probability at 𝑛 = 3 after 𝑠 steps, 𝑝 𝑛

(𝑠) , given 𝑝 𝑛

(0) = 𝛿 𝑛1

.

4) *Repeat the calculation in 3) for 𝑝 ≠ π‘ž .

II.

A one-dimensional random walk on an infinite lattice is described by a master equation 𝑑𝑝 𝑛 𝑑𝑑 = π‘Ž

(𝑝 𝑛−1

− 𝑝 𝑛

) + 𝑏(𝑝 𝑛+1

− 𝑝 where π‘Ž and 𝑏 are the forward and backward rate constants.

1) Calculate: 𝑛

),

⟨𝑛(𝑑)⟩ = οΏ½ 𝑛𝑝 𝑛

(𝑑) 𝑛

,

⟨𝑛 2 (𝑑)⟩ = οΏ½ 𝑛 2 𝑝 𝑛

(𝑑) , 𝑛 and

⟨𝛿𝑛 2 ⟩ = ⟨𝑛 2 (𝑑)⟩ − ⟨𝑛(𝑑)⟩ 2

2) *Given that the random walker starts at 𝑛 = 0 , i.e. 𝑝 𝑛

.

(0) = 𝛿 𝑛0

, find 𝑝 𝑛 is initially at site 𝐴

1

(𝑑) .

III.

For the three-site model the forward rate is π‘Ž and the backward rate is 𝑏 . The walker

. π‘Ž

𝐴 𝑏

2

𝐴

1

𝐴

3

1

1) Calculate the probability that the walker has not arrived at 𝐴

3

.

by time 𝑑 .

2) Calculate the mean first passage time from 𝐴

1

to 𝐴

3

IV.

*Consider a random walk on an infinite 𝑑 -dimensional lattice with transition rate to

. the next neighbor being 𝛼 . The random walker starts at

1) Derive a formal expression for 𝑝 𝑛 𝑛 = 0 , i.e. 𝑝 𝑛

(𝑑) .

2) Show the long-time behavior is diffusive with diffusion constant 𝛼 and

− 𝑑

2

(0) = 𝛿 𝑛0 lim

3) 𝑓

0 𝑑→∞ that 𝑝

0

(𝑑) ∝ 𝑑 .

(𝑑) is the probability that the walker arrives at site 0 for the first time. Show

1

4) where 𝑓̂

0

and 𝑝̂

0 𝑓̂

0

(𝑠) = 1 −

𝑅 < 1 for 𝑑 > 2 .

(Note: references Reichl and Montroll.)

0

𝑅 = 1 for 𝑑 = 1 or 2 𝛼𝑝̂

0

are the Laplace transforms of 𝑓

0

Define the total return probability as

Show that and

𝑅 = ∫ 𝑓

0

* honorary problems will not be counted towards grade.

(𝑠) ,

and 𝑝

0

(𝑑)𝑑𝑑 .

.

2

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5.72 Statistical Mechanics

Spring 2012

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