Geometric stochastic heat equations

Bruned, Y.; Gabriel, F.; Hairer, M.; Zambotti, L.

doi:10.1090/jams/977

Geometric stochastic heat equations
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by Y. Bruned, F. Gabriel, M. Hairer and L. Zambotti;

J. Amer. Math. Soc. 35 (2022), 1-80

DOI: https://doi.org/10.1090/jams/977

Published electronically: April 30, 2021

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Abstract:

We consider a natural class of ${\mathbf {R}}^d$-valued one-dimensional stochastic partial differential equations (PDEs) driven by space-time white noise that is formally invariant under the action of the diffeomorphism group on ${\mathbf {R}}^d$. This class contains in particular the Kardar-Parisi-Zhang (KPZ) equation, the multiplicative stochastic heat equation, the additive stochastic heat equation, and rough Burgers-type equations. We exhibit a one-parameter family of solution theories with the following properties:

For all stochastic partial differential equations (SPDEs) in our class for which a solution was previously available, every solution in our family coincides with the previously constructed solution, whether that was obtained using Itô calculus (additive and multiplicative stochastic heat equation), rough path theory (rough Burgers-type equations), or the Hopf-Cole transform (KPZ equation).
Every solution theory is equivariant under the action of the diffeomorphism group, i.e. identities obtained by formal calculations treating the noise as a smooth function are valid.
Every solution theory satisfies an analogue of Itô’s isometry.
The counterterms leading to our solution theories vanish at points where the equation agrees to leading order with the additive stochastic heat equation.

In particular, points (2) and (3) show that, surprisingly, our solution theories enjoy properties analogous to those holding for both the Stratonovich and Itô interpretations of stochastic differential equations (SDEs) simultaneously. For the natural noisy perturbation of the harmonic map flow with values in an arbitrary Riemannian manifold, we show that all these solution theories coincide. In particular, this allows us to conjecturally identify the process associated to the Markov extension of the Dirichlet form corresponding to the $L^2$-gradient flow for the Brownian loop measure.

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Geometric stochastic heat equations
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