
Yair Shenfeld
Brown University · Applied Mathematics
Active 2014–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Mathematics
- Pure mathematics
- Mathematical analysis
- Combinatorics
- Statistical physics
Selected publications
The extremals of the Alexandrov–Fenchel inequality for convex polytopes
Acta Mathematica · 2023-01-01 · 21 citations
articleOpen access1st authorCorrespondingextremals of the alexandrov-fenchel inequality 95 of the settings considered by Stanley, where N i is the number of linear extensions of a partially ordered set for which a distinguished element has rank i.Such extremal problems appear to be inaccessible by currently known methods of enumerative or algebraic combinatorics.This example highlights the significance of the questions considered in this paper to extremal problems in other areas of mathematics, and hints at the possibility that the str…
The extremals of Stanley's inequalities for partially ordered sets
Advances in Mathematics · 2023-11-24 · 8 citations
articleSenior authorCorrespondingIntrinsic dimensional functional inequalities on model spaces
Journal of Functional Analysis · 2024-01-26 · 7 citations
articleOpen accessSenior authorCorrespondingWe initiate a systematic study of intrinsic dimensional versions of classical functional inequalities which capture refined properties of the underlying objects. We focus on model spaces: Euclidean space, Hamming cube, and manifolds of constant curvature. In the latter settings, our intrinsic dimensional functional inequalities improve on a series of known results and lead to new Hamilton-type matrix inequalities. Our proofs rely on scaling, tensorization, and stochastic methods.
Probability Theory and Related Fields · 2024-05-16 · 6 citations
articleOpen accessSenior authorContraction properties of transport maps between probability measures play an important role in the theory of functional inequalities. The actual construction of such maps, however, is a non-trivial task and, so far, relies mostly on the theory of optimal transport. In this work, we take advantage of the infinite-dimensional nature of the Gaussian measure and construct a new transport map, based on the Föllmer process, which pushes forward the Wiener measure onto probability measures on Euclidea…
Transportation onto log-Lipschitz perturbations
Calculus of Variations and Partial Differential Equations · 2024-02-20 · 6 citations
articleSenior author
Recent grants
Measure Transportation And Notions Of Dimensionality In High Dimensional Probability
NSF · $138k · 2023–2026
PostDoctoral Research Fellowship
NSF · $150k · 2020–2024
Frequent coauthors
- 15 shared
Ramon van Handel
- 9 shared
Max Fathi
- 8 shared
Dan Mikulincer
- 3 shared
Alexandros Eskenazis
University of Cambridge
- 2 shared
Yu Zhao
- 1 shared
Cheng Mao
Georgia Institute of Technology
- 1 shared
Zhao Yu Ma
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