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From the 1 of 5 linked papers with an AI index.

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5 papers

math.PR2026

Anchored Nash inequalities and heat kernel bounds for a class of random conductance models with long-range jumps

Sebastian Andres, Xin Chen, Martin Slowik +1

The paper establishes anchored Nash inequalities for non‑local divergence‑form operators with degenerate weights and uses them to derive on‑diagonal heat kernel upper bounds for ra…

math.PR2026

Strong and weak convergence rates for slow-fast system driven by multiplicative Lévy noises

Qiu-Chen Yang, Kun Yin

This paper establishes strong and weak convergence rates for slow-fast systems driven by -stable processes with jump coefficients. Unlike existing studies on multiscale systems…

math.PR2026

Stochastic homogenization of stable-like process with divergence free drift

Xin Chen, Kun Yin

In this paper we will study homogenization of for stable-like process with divergence-free drift in ergodic environments. In particular, neither the drift nor the stream function a…

math.PR2026

Strong and weak convergence rates for fully coupled multiscale stochastic differential equations driven by -stable processes

Kun Yin

We first establish strong convergence rates for multiscale systems driven by -stable processes, with analyses constructed in two distinct scaling regimes. When addressing weak…

math.PR2026

Stochastic homogenization of diffusions in turbulence driven by non-local symmetric Lévy operators

Xin Chen, Jian Wang, Kun Yin

We investigate the stochastic homogenization of a class of turbulent diffusions generated by non-local symmetric Lévy operators with divergence-free drift fields in ergodic random…