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Exponential Decay of Rényi Divergence Under Fokker–Planck Equations

Publication ,  Journal Article
Cao, Y; Lu, J; Lu, Y
Published in: Journal of Statistical Physics
September 1, 2019

We prove the exponential convergence to the equilibrium, quantified by Rényi divergence, of the solution of the Fokker–Planck equation with drift given by the gradient of a strictly convex potential. This extends the classical exponential decay result on the relative entropy for the same equation.

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Published In

Journal of Statistical Physics

DOI

EISSN

1572-9613

ISSN

0022-4715

Publication Date

September 1, 2019

Volume

176

Issue

5

Start / End Page

1172 / 1184

Related Subject Headings

  • Fluids & Plasmas
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 02 Physical Sciences
  • 01 Mathematical Sciences
 

Citation

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Cao, Y., Lu, J., & Lu, Y. (2019). Exponential Decay of Rényi Divergence Under Fokker–Planck Equations. Journal of Statistical Physics, 176(5), 1172–1184. https://doi.org/10.1007/s10955-019-02339-8
Cao, Y., J. Lu, and Y. Lu. “Exponential Decay of Rényi Divergence Under Fokker–Planck Equations.” Journal of Statistical Physics 176, no. 5 (September 1, 2019): 1172–84. https://doi.org/10.1007/s10955-019-02339-8.
Cao Y, Lu J, Lu Y. Exponential Decay of Rényi Divergence Under Fokker–Planck Equations. Journal of Statistical Physics. 2019 Sep 1;176(5):1172–84.
Cao, Y., et al. “Exponential Decay of Rényi Divergence Under Fokker–Planck Equations.” Journal of Statistical Physics, vol. 176, no. 5, Sept. 2019, pp. 1172–84. Scopus, doi:10.1007/s10955-019-02339-8.
Cao Y, Lu J, Lu Y. Exponential Decay of Rényi Divergence Under Fokker–Planck Equations. Journal of Statistical Physics. 2019 Sep 1;176(5):1172–1184.
Journal cover image

Published In

Journal of Statistical Physics

DOI

EISSN

1572-9613

ISSN

0022-4715

Publication Date

September 1, 2019

Volume

176

Issue

5

Start / End Page

1172 / 1184

Related Subject Headings

  • Fluids & Plasmas
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 02 Physical Sciences
  • 01 Mathematical Sciences