Representation formula for the entropy and functional inequalities
Joseph Lehec

TL;DR
This paper introduces a stochastic formula for Gaussian relative entropy, enabling simplified proofs of various functional inequalities, thus advancing theoretical understanding and proof techniques in the field.
Contribution
It provides a new stochastic representation for Gaussian relative entropy, facilitating unified proofs of multiple functional inequalities.
Findings
Derived a stochastic formula for Gaussian relative entropy.
Unified proofs for several functional inequalities.
Enhanced understanding of entropy and inequalities through probabilistic methods.
Abstract
We prove a stochastic formula for the Gaussian relative entropy in the spirit of Borell's formula for the Laplace transform. As an application, we give unified and short proofs of a number of functional inequalities.
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