The viscous variational wave equation with transport noise

Abstract This article considers the variational wave equation with viscosity and transport noise as a system of three coupled nonlinear stochastic partial differential equations. We prove pathwise global existence, uniqueness, and temporal continuity of solutions to this system in $$L^2_x$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mi>L</mml:mi> <mml:mi>x</mml:mi> <mml:mn>2</mml:mn> </mml:msubsup> </mml:math> . Martingale solutions are extracted from a two-level Galerkin approximation via the Skorokhod–Jakubowski theorem. We use the apparatus of Dudley maps to streamline this stochastic compactness method, bypassing the usual martingale identification argument. Pathwise uniqueness for the system is established through a renormalisation procedure that involves double commutator estimates and a delicate handling of noise and nonlinear terms. New model-specific commutator estimates are proven.

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Publication Details

Journal
Stochastic Partial Differential Equations Analysis and Computations
Published
2026-01-07
DOI
https://doi.org/10.1007/s40072-025-00409-5
Primary Topic
Stability and Controllability of Differential Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

The viscous variational wave equation with transport noise

Peter H. C. Pang
Stochastic Partial Differential Equations Analysis and Computations
Stability and Controllability of Differential Equations
article

The viscous variational wave equation with transport noise

Peter H. C. Pang
article en

Abstract

Abstract This article considers the variational wave equation with viscosity and transport noise as a system of three coupled nonlinear stochastic partial differential equations. We prove pathwise global existence, uniqueness, and temporal continuity of solutions to this system in $$L^2_x$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mi>L</mml:mi> <mml:mi>x</mml:mi> <mml:mn>2</mml:mn> </mml:msubsup> </mml:math> . Martingale solutions are extracted from a two-level Galerkin approximation via the Skorokhod–Jakubowski theorem. We use the apparatus of Dudley maps to streamline this stochastic compactness method, bypassing the usual martingale identification argument. Pathwise uniqueness for the system is established through a renormalisation procedure that involves double commutator estimates and a delicate handling of noise and nonlinear terms. New model-specific commutator estimates are proven.

Stochastic Partial Differential Equations Analysis and Computations
University of Oslo (NO)
Norges Forskningsråd
Openalex Percentile: Top 96%
Stability and Controllability of Differential Equations
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