Deadline: December 1, 2020

Puzzle Editor Anirban DasGupta offers “more or less a textbook problem” this time, which pertains to various important questions on linear polymers. He says, “It will be easy for you to read about the connections; you can figure out most of the parts very quickly.” Here is the problem:

Imagine a particle conducting a walk on the traditional square lattice, starting at the origin (0,0). That is, at any time during the walk, the particle goes one unit distance to either the east, or the west, or the north, or the south. An n-walk is a walk that has taken n steps. The walk is called self-avoiding if the particle does not visit any given state twice.

Let f(n) denote the number of n-walks that are self-avoiding.

(a) Compute f(n) for n=2,3, and justify how you got these values.

(b) Compute f(4) if you can, or place it within good lower and upper bounds.

(c) Try to give non-trivial lower and upper bounds on f(n) of the form ckn for c>0 and k a positive integer.

 

Solution to Puzzle 30

Puzzle Editor Anirban DasGupta writes on the previous problem, which appeared in the August issue:

Well done to student member Bhargob Kakoty [pictured left], pursuing his Master’s degree in Statistics at the Indian Statistical Institute in Delhi, who submitted a correct solution to the first part of the puzzle.

The probability that Xn is a new value is pn=j:f(j)>0f(j)(1f(j))n1, and apply the DCT to conclude that pn0 as
n.

By direct calculation, or by a familiar geometric decomposition, E(τ2)=1+jf(j)1f(j); for the Poisson case, the expression is the infinite series obtained by substituting f(j)=eλλjj!.

The series does not seem to have a closed form formula. The same argument results in E(τ3) as a double series.

For the Poisson case, P(τ2=2) simplifies. Indeed,
P(τ2=2)=1jf2(j)=1e2λjλ2j(j!)2
=1e2λI0(2λ),
where I0(z) is the modified first kind Bessel function I0(.).

Using an integral representation for I0(2λ) and carrying in the e2λ term inside that integral, it follows that P(τ2=2) is monotone, and Fatou tells you that the limits as λ0,λ exist, and equal 0,1 respectively.