Skip to main content
Log in

Estimate of exponential convergence rate in total variation by spectral gap

  • Published:
Acta Mathematica Sinica Aims and scope Submit manuscript

Abstract

This note is devoted to study the exponential convergence rate in the total variation for reversible Markov processes by comparing it with the spectral gap. It is proved that in a quite general setup, with a suitable restriction on the initial distributions, the rate is bounded from below by the spectral gap. Furthermore, in the compact case or for birth-death processes or half-line diffusions, the rate is shown to be equal to the spectral gap.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Liggett T M. ExponentialL 2 convergence of attractive reversible nearest particle systems. Ann Probab, 1989, 17: 403–432

    MathSciNet  Google Scholar 

  2. Chen M F. ExponentialL 2-convergence andL 2-spectral gap for Markov processes. Acta Math Sin New Ser, 1991, 7(1): 19–37

    Google Scholar 

  3. Chen M F. From Markov Chains to Non-Equilibrium Particle Systems. Singapore: World Scientific, 1992

    MATH  Google Scholar 

  4. Chen M F. Estimation’ of spectral gap for Markov chains. Acta Math Sin New Ser, 1996, 12(4): 337–360

    Google Scholar 

  5. Chen M F, Wang F Y. Estimation of spectral gap for elliptic operators. Trans Amer Math Soc, 1997, 349: 1239–1267

    Article  MathSciNet  Google Scholar 

  6. Chen M F, Wang F Y. General formula for lower bound of the first eigenvalue on Riemannian manifolds. Sci Sin 1997, 27(1): 34–42 (Chinese Edition); 1997, 40(4): 384–394 (English Edition)

    Google Scholar 

  7. Chen M F, Wang F Y. Estimation of the first eigenvalue of second order elliptic operators. J Funct Anal, 1995, 131(2): 345–363

    Article  MathSciNet  Google Scholar 

  8. Diaconis, Stroock. Geometric bounds for eigenvalues of Markov chains. Ann Appl Prob, 1991, 1(1): 36–61

    MathSciNet  Google Scholar 

  9. Diaconis P, Saloff-coste L. Nash inequality for finite Markov chains. J Theor Prob, 1996, 9(2): 459–510

    Article  MathSciNet  Google Scholar 

  10. Rosenthal J S. Markov chain convergence: From finite to infinite. Stoch Proc Appl, 1996, 62(1): 55–72

    Article  Google Scholar 

  11. Saloff-Coste L. Convergence to equilibrium and Logarithmic Sobolev constant on manifolds with Ricci curvature bounded below. Coll Math, 1994, 109–121

  12. Sinclair A J, Jerrum M R. Approximate counting, uniform generation, and rapidly mixing Markov chains. Inform and Comput, 1989, 82: 93–133

    Article  MathSciNet  Google Scholar 

  13. Wang Y Z. Convergennce rate in total variation for diffusion processes. Preprint 1996

Download references

Author information

Authors and Affiliations

Authors

Additional information

Research supported in part by NSFC, Qiu Shi Sci. & Tech. Found. DPFIHE, MCSEC and Univ., of Rome I, Italy

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mufa, C. Estimate of exponential convergence rate in total variation by spectral gap. Acta Mathematica Sinica 14, 9–16 (1998). https://doi.org/10.1007/BF02563878

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02563878

Keywords

1991 MR Subject Classification

Chinese Library Classification

Navigation