Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 148 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 34 tok/s Pro
GPT-5 High 40 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 183 tok/s Pro
GPT OSS 120B 443 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Spatial asymptotics for the parabolic Anderson model driven by a Gaussian rough noise (1607.04092v1)

Published 14 Jul 2016 in math.PR

Abstract: The aim of this paper is to establish the almost sure asymptotic behavior as the space variable becomes large, for the solution to the one spatial dimensional stochastic heat equation driven by a Gaussian noise which is white in time and which has the covariance structure of a fractional Brownian motion with Hurst parameter greater than 1/4 and less than 1/2 in the space variable.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.