Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
1
vote
Accepted
Random walk in a circle
This is mainly for reference, I have not found a simple answer outside of the diffusion approximation.
Assume $\alpha\gg 1$. The random walk has unit step size and the angle $\phi$ of a step with th …
1
vote
diffusion coefficient derived from simple random walk in a 1D semi-infinite domain
Without the reflecting boundary condition, the diffusion coefficient follows from the mean square displacement,
$$E[x(t)^2]=2Dt.$$
Reflections at the origin have no effect on this expectation value, …
1
vote
Accepted
A question about the square root error of one dimensional random walks
Because of the central-limit-theorem, for large $N$ the absolute distance $d_N$ converges in distribution as
$$P_N(d_N/\sqrt N)\to p(|X|),$$
where $X$ is a Gaussian random variable with mean zero and …
3
votes
Accepted
Simulation of Lévy walk
Indeed, the Lévy flight is a random walk where the step increments $\nu$ are i.i.d. with a Lévy distribution, $p(\nu)\rightarrow 1/\nu^{1+\alpha}$ for $\nu\rightarrow\infty$, with exponent $0<\alpha< …
0
votes
Accepted
Mean square displacement for a random walker in a finite system
as requested, an explicit calculation: we seek the mean square displacement in the long-time limit for a random walker on an $L\times L$ square; the position of the walker for $N\gg L^2$ is uniformly …
2
votes
Is there a differentiable random walk?
The non-differentiability of the stochastic process is needed for the Markov assumption. If you relax the Markov assumption and allow for non-delta-function correlated noise, the process can be differ …
5
votes
Does a random walk on a surface visit uniformly?
This random walk is known in the literature as the "geodesic random walk". For a manifold with positive curvature, theorems 1 and 4 of arXiv:1609.02901 prove that the uniform measure on the manifold i …
2
votes
Trapping a particle
The region $Y$ introduces a delay time $\tau$, the average time between entry and exit. Let me first consider the case that the dynamics in the two-dimensional region $Y$ is a Brownian motion (diffusi …
1
vote
Decomposition of Haar measure other than Hurwitz's
An alternative to the Hurwitz decomposition of the Haar measure on $SO(n)$ has been developed by Julie Mitchell, "Sampling rotation groups by successive orthogonal images", SIAM J. Sci. Comput. 30, 52 …
2
votes
Accepted
Figuring out a consistent definition for the percolation backbone
source
Both striped sites and black sites belong to the percolation cluster, but only the black sites are part of the backbone. The backbone can be defined as the set of current carrying paths from …
5
votes
Identity involving the probability that a random walk stays below a curve
Example 2 of arXiv:0704.2826 considers the analogous problem for the continuous-time random walk, in the more general case that the curve has the form $g(t)=a+b\sqrt{T-t}$ with $a+b\sqrt T\geq 0$. The …
4
votes
Accepted
Origin of the term "connective constant"
Q: Is there some application where $\mu$ plays a role in some kind of "connectedness" which would excuse the name?
A: The application is to crystalline structure. The name originates from Hammersley, …
4
votes
How far does a random walker travel before returning to the origin?
The probability $\mathbb P[\max_{t\leq \tau}|X_t|\geq a]$ is the probability to reach a point at a distance $a>0$ from the origin before returning to the origin, which is just $1/a$, see https://math. …
3
votes
Smooth functions that resemble random walks
Smooth random functions, random ODEs, and Gaussian processes (2018) describes an approach that takes a finite Fourier series on the interval $(0,1)$ with randomly chosen coefficients. The integral of …
6
votes
Accepted
Derive the solution of the diffusion equation from the solution of a random walk
To carry out the limit, it helps to start from an integral representation of the Bessel function,
$$P_n(T)=e^{-T}I_n(T)=\frac{1}{2\pi}\int_{-\pi}^\pi \exp [i k n+T \cos k-T]\,dk.$$
For $T\gg 1$ this m …