Abstract
In this paper we review recent results by the author on the problem of quantization of measures. More precisely, we propose a dynamical approach, and we investigate it in dimensions 1 and 2. Moreover, we discuss a recent general result on the static problem on arbitrary Riemannian manifolds.
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Notes
- 1.
Equivalently known as Monge-Kantorovich distances; we shall use both terms interchangeably.
- 2.
The vertices of the triangular lattice are the centres of a hexagonal tiling.
- 3.
Note that this corresponds to the quantization of ρ ≡ 1 with d = r = 2 for N ≈ n 2 →∞.
References
Ambrosio, L., Gigli, N., Savaré, G.: Gradient Flows in Metric Spaces and in the Space of Probability Measures. Lectures in Mathematics ETH Zürich, 2nd edn. Birkhäuser Verlag, Basel (2008)
Bouchitté, G., Jimenez, C., Rajesh, M.: Asymptotique d’un problème de positionnement optimal. C. R. Math. Acad. Sci. Paris 335(10), 853–858 (2002)
Bouchitté, G., Jimenez, C., Rajesh, M.: Asymptotic analysis of a class of optimal location problems. J. Math. Pures Appl. 95(4), 382–419 (2011)
Bourne, D.P., Peletier, M. A., Theil, F.: Optimality of the triangular lattice for a particle system with Wasserstein interaction. Commun. Math. Phys. 329, 117–140 (2014)
Brancolini, A., Buttazzo, G., Santambrogio, F., Stepanov, E.: Long-term planning versus short-term planning in the asymptotical location problem. ESAIM Control Optim. Calc. Var. 15(3), 509–524 (2009)
Bucklew, J., Wise, G.: Multidimensional asymptotic quantization theory with r-th power distortion measures. IEEE Inf. Theory 28(2), 239–247 (1982)
Buttazzo, G., Santambrogio, F.: A mass transportation model for the optimal planning of an urban region. SIAM Rev. 51, 593–610 (2009).
Caglioti, E., Golse, F., Iacobelli, M.: A gradient flow approach to quantization of measures. Math. Models Methods Appl. Sci. 25, 1845–1885 (2015)
Caglioti, E., Golse, F., Iacobelli, M.: Quantization of measures and gradient flows: a perturbative approach in the 2-dimensional case. Ann. Inst. H. Poincaré Anal. Non Linéaire 35(6), 1531–1555
Fejes Tóth, L.: Lagerungen in der Ebene, auf der Kugel und im Raum. Springer, Berlin (1953). 2nd ed. 1972
Fejes Tóth, G.: Astability criterion to the moment theorem. Stud. Sci. Math. Hungar. 38, 209–224 (2001)
Gersho, A., Gray, R.M.: Vector Quantization and Signal Processing. The Springer International Series in Engineering and Computer Science, vol. 1. Springer, New York (1992)
Gruber, P.M.: A short analytic proof of Fejes Tóth’s theorem on sums of moments. Aequationes Math. 58, 291–295 (1999)
Gruber, P.M.: Optimal configurations of finite sets in Riemannian 2-manifolds. Geom. Dedicata 84(1–3), 271–320 (2001)
Gruber, P.M.: Convex and Discrete Geometry. Springer, New York (2007)
Graf, S., Luschgy, H.: Foundations of Quantization for Probability Distributions. Lecture Notes in Mathematics, vol. 1730. Springer, Berlin (2000)
Iacobelli, M.: Asymptotic quantization for probability measures on Riemannian manifolds. ESAIM Control Optim. Calc. Var. 22(3), 770–785 (2016)
Iacobelli, M.: Asymptotic analysis for a very fast diffusion equation arising from the 1D quantization problem. Discrete Contin. Dyn. Syst. A (to appear)
Kloeckner, B.: Approximation by finitely supported measures. ESAIM Control Optim. Calc. Var. 18(2), 343–359 (2012)
Morgan, F., Bolton, R.: Hexagonal economic regions solve the location problem. Am. Math. Mon. 109(2), 165–172 (2002)
Mosconi, S., Tilli, P.: Γ-convergence for the irrigation problem. J. Conv. Anal. 12(1), 145–158 (2005)
Pagès, G., Pham, H., Printems, J.: Optimal quantization methods and applications to numerical problems in finance. In: Handbook on Numerical Methods in Finance, pp. 253–298. Birkhäuser, Boston (2004)
Santambrogio, F.: Optimal Transport for Applied Mathematicians. Calculus of Variations, PDEs, and Modeling. Progress in Nonlinear Differential Equations and their Applications, vol. 87, xxvii+353 pp. Birkhäuser/Springer, Cham (2015)
Acknowledgements
The author would like to thank Megan Griffin-Pickering for her useful comments on a preliminary version of this paper and the L’Oréal Foundation for partially supporting this project by awarding the L’Oréal-UNESCO For Women in Science France fellowship.
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Iacobelli, M. (2018). A Gradient Flow Perspective on the Quantization Problem. In: Cardaliaguet, P., Porretta, A., Salvarani, F. (eds) PDE Models for Multi-Agent Phenomena. Springer INdAM Series, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-01947-1_7
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