Gaussian lower bound for the FIN diffusion
Manuel Cabezas

TL;DR
This paper proves a Gaussian lower bound for the FIN singular diffusion by utilizing the Ray-Knight description of local time, advancing understanding of its probabilistic behavior.
Contribution
It introduces a Gaussian lower bound for the FIN diffusion, a novel result in the analysis of this singular stochastic process.
Findings
Established a Gaussian lower bound for the FIN diffusion
Utilized Ray-Knight description of local time in the proof
Enhanced understanding of the diffusion's probabilistic properties
Abstract
We establish a Gaussian lower bound for the FIN singular diffusion using the Ray-Knight description of the local time.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
