English

Persistence Exponent for the Simple Diffusion Equation: The Exact Solution for any Integer Dimension

Statistical Mechanics 2021-08-11 v2 Data Analysis, Statistics and Probability

Abstract

The persistence exponent θo\theta_o for the simple diffusion equation ϕt(x,t)=ϕ(x,t){\phi}_t({\it x},t) = \triangle \phi (x,t) , with random Gaussian initial condition {\color{red},} has been calculated exactly using a method known as selective averaging. The probability that the value of the field ϕ\phi at a specified spatial coordinate remains positive throughout for a certain time tt behaves as tθot^{-\theta_o} for asymptotically large time tt. The value of θo\theta_o, calculated here for any integer dimension dd, is θo=d4\theta_o = \frac{d}{4} for d4d\leq 4 and 11 otherwise. This exact theoretical result is being reported possibly for the first time and is not in agreement with the accepted values θo=0.12,0.18,0.23 \theta_o = 0.12, 0.18,0.23 for d=1,2,3d=1,2,3 respectively.

Cite

@article{arxiv.1005.0120,
  title  = {Persistence Exponent for the Simple Diffusion Equation: The Exact Solution for any Integer Dimension},
  author = {Devashish Sanyal},
  journal= {arXiv preprint arXiv:1005.0120},
  year   = {2021}
}

Comments

5 pages

R2 v1 2026-06-21T15:17:29.765Z