L-Kuramoto-Sivashinsky SPDEs in one-to-three dimensions: L-KS kernel, sharp H\"older regularity, and Swift-Hohenberg law equivalence
Hassan Allouba

TL;DR
This paper introduces a novel explicit kernel formulation for L-Kuramoto-Sivashinsky SPDEs across multiple dimensions, establishing regularity, critical scaling, and equivalence with nonlinear variants, including the Swift-Hohenberg equation.
Contribution
It provides a new explicit kernel approach for L-KS SPDEs, analyzes their regularity and scaling limits, and establishes law equivalence with nonlinear equations like Swift-Hohenberg.
Findings
Established sharp H"older regularity for L-KS SPDEs in 1-3 dimensions.
Identified critical ratio controlling the SPDE's limiting behavior.
Proved law equivalence between linear and nonlinear L-KS SPDEs, including Swift-Hohenberg.
Abstract
Generalizing the L-Kuramoto-Sivashinsky (L-KS) kernel from our earlier work, we give a novel explicit-kernel formulation useful for a large class of fourth order deterministic, stochastic, linear, and nonlinear PDEs in multispatial dimensions. These include pattern formation equations like the Swift-Hohenberg and many other prominent and new PDEs. We first establish existence, uniqueness, and sharp dimension-dependent spatio-temporal H\"older regularity for the canonical (zero drift) L-KS SPDE, driven by white noise on . The spatio-temporal H\"older exponents are exactly the same as the striking ones we proved for our recently introduced Brownian-time Brownian motion (BTBM) stochastic integral equation, associated with time-fractional PDEs. The challenge here is that, unlike the positive BTBM density, the L-KS kernel is the Gaussian average of a modified,…
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