Non-uniqueness in law of transport-diffusion equation forced by random noise
Ujjwal Koley, Kazuo Yamazaki

TL;DR
This paper demonstrates the non-uniqueness in law for solutions to a stochastic transport-diffusion equation with various types of random forcing, using a probabilistic convex integration approach.
Contribution
It introduces a novel probabilistic convex integration method to establish non-uniqueness in law for stochastic transport-diffusion equations with different noise types.
Findings
Existence of divergence-free vector fields with Sobolev regularity.
Solutions with Lebesgue space regularity for the transport-diffusion equation.
Proof of non-uniqueness in law for strong solutions globally in time.
Abstract
We consider a transport-diffusion equation forced by random noise of three types: additive, linear multiplicative in It's interpretation, and transport in Stratonovich's interpretation. Via convex integration modified to probabilistic setting, we prove existence of a divergence-free vector field with spatial regularity in Sobolev space and corresponding solution to a transport-diffusion equation with spatial regularity in Lebesgue space, and consequently non-uniqueness in law at the level of probabilistically strong solutions globally in time.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Stochastic processes and statistical mechanics
