Abstract

We investigate existence, uniqueness and regularity for solutions of rough parabolic equations of the form partial _{t}u-A_{t}u-f=(dot X_{t}(x) cdot nabla + dot Y_{t}(x))u on [0,T]times mathbb {R}^{d}. To do so, we introduce a concept of “differential rough driver”, which comes with a counterpart of the usual controlled paths spaces in rough paths theory, built on the Sobolev spaces Wk,p. We also define a natural notion of geometricity in this context, and show how it relates to a product formula for controlled paths. In the case of transport noise (i.e. when Y = 0), we use this framework to prove an Itô Formula (in the sense of a chain rule) for Nemytskii operations of the form u↦F(u), where F is C2 and vanishes at the origin. Our method is based on energy estimates, and a generalization of the Moser Iteration argument to prove boundedness of a dense class of solutions of parabolic problems as above. In particular, we avoid the use of flow transformations and work directly at the level of the original equation. We also show the corresponding chain rule for F(u) = |u|p with p ≥ 2, but also when Y ≠ 0 and p ≥ 4. As an application of these results, we prove existence and uniqueness of a suitable class of Lp-solutions of parabolic equations with multiplicative noise. Another related development is the homogeneous Dirichlet boundary problem on a smooth domain, for which a weak maximum principle is shown under appropriate assumptions on the coefficients.

Highlights

  • Motivations Consider a stochastic partial differential equation with multiplicative noise of the form dut − ut dt = ∂i ut dXti (x) + ut dXt0(x), on (0, T ] × Rd (1.1) where ∂i = ∂ ∂ xi T ∈(0, ∞) denotes a fixed time horizon, (Xi )i=0,...,d denotes someQ-Wiener process, and throughout the paper we use Einstein’s summation convention over repeated indices

  • In the more general context of a degenerate left hand side, this type of noise appears in stochastic transport equations, where a regularization by noise phenomenon is observed [12, 22, 52, 54], or in stochastic conservation laws, see [33] for an overview

  • We provide an alternative formulation of this result, which has the conceptual advantage of being understood as an a priori estimate in DBα,p

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Summary

Introduction

Besides introducing a new functional framework for (1.1), our main objective in this paper is to investigate the chain rule (1.2), which will be systematically addressed in the transport-noise case, assuming “geometricity of the driving noise” (understood at the level of the differential rough driver, see Definition 2.2). This observation, together with the fact that a chain rule holds for polynomials of a bounded solution, will allow us to prove the claimed. The corresponding proof for the Lp-norm, as well as the solvability for an appropriate class of Lp-solutions, will be dealt with at the end of Section 7 It is based on a different argument using approximation and stability results for rough partial differential equations.

Notation
Rough drivers
Notions of solution
Rough parabolic equations
Some useful facts
Remainder estimates
A natural Banach space setting
Main result: product formula
Local boundedness of solutions
Moser Iteration
The recursive estimate
Proof of Ito Formulas
Case when u is locally bounded
Proof of the solvability
Proof of the maximum principle
Renormalization property for geometric differential rough drivers
Uniqueness of the Gubinelli derivative
Brackets
Full Text
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