An Asymptotic Comparison of Two Time-homogeneous PAM Models
Hyun-Jung Kim, Sergey V. Lototsky

TL;DR
This paper compares two interpretations of the time-homogeneous parabolic Anderson model, showing that their solutions differ by an order of e^2 as noise intensity approaches zero, with the difference being non-random.
Contribution
It provides an asymptotic analysis of the difference between Wick-Ito-Skorokhod and Stratonovich PAM solutions as noise diminishes, highlighting their convergence properties.
Findings
Solutions are real analytic in noise intensity e.
Difference between solutions is of order e^2 as e->0.
Difference is non-random in the limit.
Abstract
Both Wick-Ito-Skorokhod and Stratonovich interpretations of the parabolic Anderson model (PAM) lead to solutions that are real analytic as functions of the noise intensity e, and, in the limit e->0, the difference between the two solutions is of order e^2 and is non-random.
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Theoretical and Computational Physics · Model Reduction and Neural Networks
