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PreprintCC BY-NC-ND 4.0HAL

Concentration of Exponential Tilts Implies Curvature

Abstract

We show, under a smoothness assumption, that probability measures whose exponential tilts have a uniformly bounded variance are given by a strongly convex potential, up to a bounded perturbation, yielding a partial converse to the Bakry-Émery theorem combined with Holley-Stroock's perturbation principle. A stronger version enforcing uniform convexity of the potential is obtained by considering the low-temperature regime.

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BibTeX
@misc{nejma2026concentration,
  title = {{Concentration of Exponential Tilts Implies Curvature}},
  author = {Aziz Ben Nejma},
  howpublished = {HAL},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.34570},
  eprint = {2610.34570},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05840953v1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Concentration of Exponential Tilts Implies Curvature
AU  - Aziz Ben Nejma
PY  - 2026
DA  - 2026/10/25
PB  - HAL
DO  - 10.48550/arxiv.2610.34570
UR  - https://hal.science/hal-05840953v1
AB  - We show, under a smoothness assumption, that probability measures whose exponential tilts have a uniformly bounded variance are given by a strongly convex potential, up to a bounded perturbation, yielding a partial converse to the Bakry-Émery theorem combined with Holley-Stroock's perturbation principle. A stronger version enforcing uniform convexity of the potential is obtained by considering the low-temperature regime.
ER  -