Article Dans Une Revue Journal of Potential Analysis Année : 2023

Heat kernel estimates for stable-driven SDEs with distributional drift

Mathis Fitoussi

Résumé

We consider the formal SDE dX t = b(t, X t)dt + dZ t , X 0 = x ∈ R d , (E) where b ∈ L r ([0, T ], B β p,q (R d , R d)) is a time-inhomogeneous Besov drift and Z t is a symmetric d-dimensional α-stable process, α ∈ (1, 2), whose spectral measure is absolutely continuous w.r.t. the Lebesgue measure on the sphere. Above, L r and B β p,q respectively denote Lebesgue and Besov spaces. We show that, when β > (1−α+ α/r + d/p)/2 , the martingale solution associated with the formal generator of (E) admits a density which enjoys two-sided heat kernel bounds as well as gradient estimates w.r.t. the backward variable. Our proof relies on a suitable mollification of the singular drift aimed at using Duhamel expansion. We then use a normalization method combined with Besov space properties (thermic characterization, duality and product rules) to derive estimates.

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Dates et versions

hal-04026796 , version 1 (14-03-2023)
hal-04026796 , version 2 (10-10-2024)

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Mathis Fitoussi. Heat kernel estimates for stable-driven SDEs with distributional drift. Journal of Potential Analysis, 2023, 61, pp.431-461. ⟨10.1007/s11118-023-10115-3⟩. ⟨hal-04026796v2⟩

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