Skip to main content
Log in

Gradient systems associated with probability distributions

  • Published:
Japan Journal of Industrial and Applied Mathematics Aims and scope Submit manuscript

Abstract

Gradient systems on manifolds of various probability distributions are presented. It is shown that the gradient systems can be linearized by the Legendre transformation. It follows that the corresponding flows on the manifolds converge to equilibrium points of potential functions exponentially. It is proved that gradient systems on manifolds of even dimensions are completely integrable Hamiltonian systems. Especially, the gradient system for the Gaussian distribution admits a Lax pair representation.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. S. Amari, Differential-Geometrical Methods in Statistics. Lecture Notes in Statist. Vol. 28, Springer-Verlag, Berlin, 1985.

    MATH  Google Scholar 

  2. D.A. Bayer and J.C. Lagarias, The nonlinear geometry of linear programming. II. Legendre transform coordinates and central trajectories. Trans. Amer. Math. Soc.,314 (1989), 527–581.

    Article  MATH  MathSciNet  Google Scholar 

  3. R.W. Brockett, Dynamical systems that sort lists, diagonalize matrices and solve linear programming problem. Linear Algebra Appl.,146 (1991), 79–91.

    Article  MATH  MathSciNet  Google Scholar 

  4. I.I. Dikin, Iterative solution of problems of linear and quadratic programming. Soviet Math. Dokl.,8 (1967), 674–675.

    MATH  Google Scholar 

  5. A. Fujiwara, Dynamical systems on statistical models. Recent Developments and Perspectives in Nonlinear Dynamical Systems (eds. Y. Nakamura, K. Takasaki and K. Nagatomo), RIMS Kokyuroku No. 822, Kyoto Univ., Kyoto 1993, 32–42.

    Google Scholar 

  6. M.W. Hirsch, and S. Smale, Differential Equations, Dynamical Systems, and Linear Algebra. Pure Appl. Math., Vol. 5, Academic Press, New York, 1974.

    MATH  Google Scholar 

  7. N. Karmarkar, A new polynomial time algorithm for linear programming. Combinatorica,4 (1984), 373–395.

    Article  MATH  MathSciNet  Google Scholar 

  8. N. Karmarkar, Riemannian geometry underlying interior-point methods for linear programming. Mathematical Developments Arising from Linear Programming (eds. J.C. Lagarias and M.J. Todd), Contemp. Math., Vol. 114, Amer. Math. Soc., Providence, 1990, 51–75.

    Google Scholar 

  9. J.C. Lagarias, The nonlinear geometry of linear programming. III. Projective Legendre transform coordinates and Hilbert geometry. Trans. Amer. Math. Soc.,320 (1990), 193–225.

    Article  MATH  MathSciNet  Google Scholar 

  10. J. Moser, Finitely many points on the line under the influence of an exponential potential — An integrable system. Dynamical Systems, Theory and Applications (ed. J. Moser), Lecture Notes in Phys., Vol. 38, Springer-Verlag, Berlin, 1975, 467–497.

    Chapter  Google Scholar 

  11. Y. Nakamura, Lax equations associated with a least squares problem and compact Lie algebras. Recent Developments in Differential Geometry (ed. K. Shiohama), Adv. Stud. Pure Math., Vol. 22, Math. Soc. Japan, 1993, 213–229.

  12. Y. Nakamura, Completely integrable gradient systems on the manifolds of Gaussian and multinomial distributions. Japan J. Indust. Appl. Math.,10 (1993), 179–189.

    Article  MATH  MathSciNet  Google Scholar 

  13. K. Tanabe, A geometric method in nonlinear programming. J. Optim. Theory Appl.,30 (1980), 181–210.

    Article  MATH  MathSciNet  Google Scholar 

  14. K. Tanabe and T. Tsuchiya, New geometry in linear programming (in Japanese). Math. Sci., No. 303, 1988, 32–37.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Nakamura, Y. Gradient systems associated with probability distributions. Japan J. Indust. Appl. Math. 11, 21–30 (1994). https://doi.org/10.1007/BF03167211

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03167211

Key words

Navigation