Peano phenomenon for stochastic equations with local time
Ivan H. Krykun

TL;DR
This paper studies the weak convergence of measures from solutions of stochastic equations involving local time as the diffusion term vanishes, especially when the associated ODE has multiple solutions, and derives formulas for the limiting measure's weights.
Contribution
It provides a novel analysis of the limit behavior of stochastic equations with local time, including explicit formulas for weights on extreme solutions when multiple solutions exist.
Findings
Limit measures concentrate on extreme solutions with specific weights.
Formulas for weights in the limit measure are derived.
The results extend understanding of stochastic equations with local time and multiple ODE solutions.
Abstract
We investigate weak convergence of measures generated by solutions of stochastic equations with local time and small diffusion while the last one tends to zero. In case the correspondent ordinary differential equation has infinitely many solutions we prove that limit measure concentrated with some weights on its extreme solutions. Formulae for weights are obtained.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · advanced mathematical theories
