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 168 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 28 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 122 tok/s Pro
Kimi K2 188 tok/s Pro
GPT OSS 120B 464 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

The Onsager-Machlup functional for distribution dependent SDEs driven by fractional Brownian motion (2503.15906v1)

Published 20 Mar 2025 in math.DS and math.PR

Abstract: In this paper, we compute the Onsager-Machlup functional for distribution dependent SDEs driven by fractional Brownian motions with Hurst parameter $H\in (\frac{1}{4},1)$. In the case $ \frac{1}{4} < H < \frac{1}{2} $, the norm can be either the supremum norm or H\"older norms of order $ \beta $ with $ 0 < \beta < H - \frac{1}{4} $. In the case $\frac{1}{2} < H < 1 $, the norms can be a H\"older norm of order $ \beta$ with $ H - \frac{1}{2} < \beta < H - \frac{1}{4} $. As an example, we compute the Onsager-Machlup functional for the stochastic pendulum equation

Summary

We haven't generated a summary for 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.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 0 likes.

Upgrade to Pro to view all of the tweets about this paper: