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Well-posedness of linear elliptic equations with L d -drifts under divergence-type conditions
Electronic Research Archive 2025, 33(12): 7974-7998
Published: 25 December 2025
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We establish the well-posedness of linear elliptic equations with critical-order drifts in L d and positive zero-order coefficients in L 1 or L 2 d d + 2 , where classical methods are often too restrictive. Our approach relies on a divergence-free transformation and a structural condition on the drift vector field, which admits a decomposition into a regular component and another whose weak divergence belongs to L q ~ for some q ~ > d 2 . This condition is essential for constructing a suitable weight function ρ via the weak maximum principle and the Harnack inequality. Within this framework, we prove the existence and uniqueness of weak solutions, significantly relaxing the regularity assumptions on the zero-order coefficients in L d 2 .

Open Access Research Article Issue
Cholesky decomposition and well-posedness of Cauchy problem for Fokker-Planck equations with unbounded coefficients
AIMS Mathematics 2025, 10(6): 13555-13574
Published: 12 June 2025
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This paper explores the well-posedness of the Cauchy problem for the Fokker-Planck equation associated with the partial differential operator L with low regularity condition. To address uniqueness, we apply a recently developed superposition principle for unbounded coefficients, which reduces the uniqueness problem for the Fokker-Planck equation to the uniqueness of solutions to the martingale problem. Using the Cholesky decomposition algorithm, a standard tool in numerical linear algebra, we construct a lower triangular matrix of functions σ with suitable regularity such that A = σ σ T . This formulation allows us to connect the uniqueness of solutions to the martingale problem with the uniqueness of weak solutions to Itô-SDEs. For existence, we rely on established results concerning sub-Markovian semigroups, which enable us to confirm the existence of solutions to the Fokker-Planck equation under general growth conditions expressed as inequalities. Additionally, by imposing further growth conditions on the coefficients, also expressed as inequalities, we establish the ergodicity of the solutions. This work demonstrates the interplay between stochastic analysis and numerical linear algebra in addressing problems related to partial differential equations.

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