Abstract
We develop the theory of discrete-time gradient flows for convex functions on Alexandrov spaces with arbitrary upper or lower curvature bounds. We employ different resolvent maps in the upper and lower curvature bound cases to construct such a flow, and show its convergence to a minimizer of the potential function. We also prove a stochastic version, a generalized law of large numbers for convex function valued random variables, which not only extends Sturm’s law of large numbers on nonpositively curved spaces to arbitrary lower or upper curvature bounds, but this version seems new even in the Euclidean setting. These results generalize those in nonpositively curved spaces (partly for squared distance functions) due to Bačák, Jost, Sturm and others, and the lower curvature bound case seems entirely new.
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Afsari, B.: Riemannian \(L^{p}\) center of mass: existence, uniqueness, and convexity. Proc. Am. Math. Soc. 139, 655–673 (2011)
Ambrosio, L., Gigli, N., Savaré, G.: Gradient Flows in Metric Spaces and in the Space of Probability Measures, 2nd edn. Birkhäuser Verlag, Basel (2008)
Arnaudon, M., Li, X.M.: Barycenters of measures transported by stochastic flows. Ann. Probab. 33, 1509–1543 (2005)
Arnaudon, M., Dombry, C., Phan, A., Yang, L.: Stochastic algorithms for computing means of probability measures. Stoch. Process. Appl. 122, 1437–1455 (2012)
Bačák, M.: The proximal point algorithm in metric spaces. Israel J. Math. 194, 689–701 (2013)
Bačák, M.: Computing means and medians in Hadamard spaces. SIAM J. Optim. (2014), to appear. arXiv:1210.2145
Bento, G.C., Cruz, J.X.: Neto, finite termination of the proximal point method for convex functions on Hadamard manifolds. Optimization (2012). doi:10.1080/02331934.2012.730050
Bertsekas, D.P.: Incremental proximal methods for large scale convex optimization. Math. Program. Ser. B 129, 163–195 (2011)
Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-dynamic Programming. Athena Scientific, Belmont (1996)
Bhatia, R.: Positive definite matrices. In: Princeton Series in Applied Mathematics. Princeton University Press, Princeton (2007)
Bhatia, R., Holbrook, J.: Riemannian geometry and matrix geometric means. Linear Algebra Appl. 413, 594–618 (2006)
Brézis, H., Lions, P.-L.: Produits infinis de rèsolvantes. Israel J. Math. 29, 329–345 (1978)
Burago, D., Burago, Yu., Ivanov, S.: A Course in Metric Geometry. American Mathematical Society, Providence (2001)
Espínola, R., Fernández-León, A.: CAT\((k)\)-spaces, weak convergence and fixed points. J. Math. Anal. Appl. 353, 410–427 (2009)
Ferreira, O.P., Oliveira, P.R.: Proximal point algorithm on Riemannian manifolds. Optimization 51, 257–270 (2002)
Holbrook, J.: No dice: a deterministic approach to the Cartan centroid. J. Ramanujan Math. Soc. 27, 509–521 (2012)
Jost, J.: Equilibrium maps between metric spaces. Calc. Var. Partial Differ. Equ. 2, 173–204 (1994)
Jost, J.: Convex functionals and generalized harmonic maps into spaces of nonpositive curvature. Comment. Math. Helv. 70, 659–673 (1995)
Jost, J.: Nonpositive Curvature: Geometric and Analytic Aspects. Birkhäuser Verlag, Basel (1997)
Jost, J.: Nonlinear dirichlet forms, new directions in Dirichlet forms 1–47. In: AMS/IP Stud. Adv. Math., vol. 8. American Mathematical Society, Providence (1998)
Karcher, H.: Riemannian center of mass and mollifier smoothing. Commun. Pure Appl. Math. 30, 509–541 (1977)
Kendall, W.S.: Probability, convexity, and harmonic maps with small image I: uniqueness and fine existence. Proc. Lond. Math. Soc. (3) 61, 371–406 (1990)
Kendall, W.S.: Convexity and the hemisphere. J. Lond. Math. Soc. (2) 43, 567–576 (1991)
Korf, L.A., Wets, R.J.-B.: Random lsc functions: an ergodic theorem. Math. Oper. Res. (26) 2, 421–445 (2001)
Kuwae, K.: Jensen’s inequality over CAT\((\kappa )\)-space with small diameter. In: Potential Theory and Stochastics in Albac. Theta Ser. Adv. Math., vol. 11, pp. 173–182. Theta, Bucharest (2009)
Lawson, J., Lim, Y.: Monotonic properties of the least squares mean. Math. Ann. 351, 267–279 (2011)
Li, C., López, G., Martín-Márquez, V.: Monotone vector fields and the proximal point algorithm on Hadamard manifolds. J. Lond. Math. Soc. (2) 79, 663–683 (2009)
Lim, Y., Pálfia, M.: Weighted deterministic walks for the least squares mean on Hadamard spaces. Bull. Lond. Math. Soc. 46, 561–570 (2014)
Lytchak, A.: Open map theorem for metric spaces. St. Petersb. Math. J. 17, 477–491 (2006)
Mayer, U.F.: Gradient flows on nonpositively curved metric spaces and harmonic maps. Commun. Anal. Geom. 6, 199–253 (1998)
Moakher, M.: Means and averaging in the group of rotations. SIAM J. Matrix Anal. Appl. 24, 1–16 (2002)
Nedic, A., Bertsekas, D.P.: Convergence rate of incremental subgradient algorithms. In: Stochastic Optimization: Algorithms and Applications (Gainesville, FL, 2000). Appl. Optim., vol. 54, pp. 223–264. Kluwer, Dordrecht (2001)
Nedic, A., Bertsekas, D.P.: Incremental subgradient methods for nondifferentiable optimization. SIAM J. Optim. 12, 109–138 (2001)
Ohta, S.: Convexities of metric spaces. Geom. Dedic. 125, 225–250 (2007)
Ohta, S.: Gradient flows on Wasserstein spaces over compact Alexandrov spaces. Am. J. Math. 131, 475–516 (2009)
Ohta, S.: Barycenters in Alexandrov spaces of curvature bounded below. Adv. Geom. 12, 571–587 (2012)
Perel’man, G., Petrunin, A.: Quasigeodesics and gradient curves in Alexandrov spaces. Unpublished preprint. http://www.math.psu.edu/petrunin/ (1995). Accessed 12 Feb 2015
Petrunin, A.: Semiconcave functions in Alexandrov’s geometry. In: Surveys in Differential Geometry, vol. XI, pp. 137–201. Int. Press, Somerville (2007)
Rockafellar, R.T.: Convex Analysis. Princeton University Press, Princeton (1997)
Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer, Berlin (1998)
Sturm, K.-T.: Nonlinear Markov operators associated with symmetric Markov kernels and energy minimizing maps between singular spaces. Calc. Var. Partial Differ. Equ. 12, 317–357 (2001)
Sturm, K.-T.: Nonlinear Markov operators, discrete heat flow, and harmonic maps between singular spaces. Potential Anal. 16, 305–340 (2002)
Sturm, K.-T.: Nonlinear martingale theory for processes with values in metric spaces of nonpositive curvature. Ann. Probab. 30, 1195–1222 (2002)
Sturm, K.-T.: Probability measures on metric spaces of nonpositive curvature. In: Heat Kernels and Analysis on Manifolds, Graphs, and Metric Spaces (Paris, 2002). Contemp. Math., vol. 338, pp. 357–90. Am. Math. Soc., Providence (2003)
Sturm, K.-T.: A semigroup approach to harmonic maps. Potential Anal. 23, 225–277 (2005)
Sturm, K.-T.: On the geometry of metric measure spaces. Acta Math. 196, 65–131 (2006)
Acknowledgments
The authors would like to thank the anonymous referee for his valuable comments, in particular improving the discussion in Sect. 6. The second author would like to thank Prof. John Holbrook for raising his attention to the approximation problem of the barycenter treated in Remark 6.8 on the sphere. The second author had doubts in the convergence of such approximation scheme in the positive curvature case, but then he learned about the favorable outcomes of Prof. Holbrook’s numerical experiments on the sphere in a private communication with him, which initiated the further study of the problem.
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Communicated by J. Jost.
S. Ohta is supported by the Grant-in-Aid for Young Scientists (B) 23740048; M. Pálfia is supported by the Research Fellowship of the Canon Foundation.
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Ohta, Si., Pálfia, M. Discrete-time gradient flows and law of large numbers in Alexandrov spaces. Calc. Var. 54, 1591–1610 (2015). https://doi.org/10.1007/s00526-015-0837-y
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DOI: https://doi.org/10.1007/s00526-015-0837-y