Criteria for optimally discretizing measurable sets in Euclidean space is a difficult and old problem which relates directly to the problem of good numerical integration rules or finding points of low discrepancy. On the other hand, learning meaningful descriptions of a finite number of given points in a measure space is an exploding area of research with applications as diverse as dimension reduction, data analysis, computer vision, critical infrastructure, complex networks, clustering, imaging neural and sensor networks, wireless communications, financial marketing and dynamic programming. The purpose of this paper is to show that a general notion of extremal energy as defined and studied recently by Damelin, Hickernell and Zeng on measurable sets X in Euclidean space, defines a diffusion metric on X which is equivalent to a discrepancy on X and at the same time bounds the fill distance on X for suitable measures with discrete support. The diffusion metric is used to learn via normalized graph Laplacian dimension reduction and the discepancy is used to discretize.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bajnok, B., Damelin, S. B., Li, J., and Mullen, G.: A constructive finite field method for scattering points on the surface of a d-dimensional sphere. Comput-ing, 68, 97-109 (2002)
Chung F.: Spectral Graph Theory. In: CBNS-AMS, 92. AMS Publications, Providence, RI (1997)
Damelin, S. B. and Grabner, P.: Numerical integration, energy and asymptotic equidistributon on the sphere. Journal of Complexity, 19, 231-246 (2003)
Damelin, S. B.: Marcinkiewicz-Zygmund inequalities and the Numerical approxi-mation of singular integrals for exponential weights: Methods, Results and Open Problems, some new, some old. Journal of Complexity, 19, 406-415 (2003)
5. Damelin, S. B., Hero, A., and Wang, S. J.: Kernels, hitting time metrics and diffusion in clustering and data analysis, in preparation.
6. Damelin, S. B., Hickernell F., and Zeng, X.: On the equivalence of discrepancy and energy on closed subsets of Euclidean space, in preparation.
Damelin, S. B. and Kuijlaars, A.: The support of the extremal measure for mono-mial external fields on [−1, 1] . Trans. Amer. Math. Soc. 351, 4561-4584 (1999)
8. Damelin, S. B., Levesley, J., and Sun, X.: Energies, Group Invariant Kernels and Numerical Integration on Compact Manifolds. Journal of Complexity, submit-ted.
9. Damelin, S. B., Levesley, J., and Sun, X.: Energy estimates and the Weyl crite-rion on compact homogeneous manifolds. In: Algorithms for Approximation V. Springer, to appear.
Damelin S. B. and Maymeskul, V.: On point energies, separation radius and mesh norm for s-extremal configurations on compact sets in Rn. Journal of Complexity, 21 (6), 845-863 (2005)
11. Damelin S. B. and Maymeskul, V.: Minimal discrete energy problems and numerical integration on compact sets in Euclidean spaces. In: Algorithms for Approximation V. Springer, to appear.
12. Damelin S. B. and Maymeskul, V.: On regularity and dislocation properties of minmial energy configurations on compact sets, submitted.
Du, Q., Faber, V., and Gunzburger, M.: Centroidal Voronoi tessellations: applications and algorithms. SIAM Rev, 41 (4), 637-676 (1999)
Helgason, S. Differential Geometry, Lie Groups, and Symmetric Spaces. (Grad-uate Studies in Mathematics. ) American Mathematical Society (2001)
Hickernell, F. J.: Goodness of fit statistics, discrepancies and robust designs. Statist. Probab. Lett. 44 (1), 73-78 (1999)
Hickernell, F. J.: What affects the accuracy of quasi-Monte Carlo quadrature? In: Niederreiter, H. and Spanier, J. (eds. ) Monte Carlo and Quasi-Monte Carlo Methods. Springer-Verlag, Berlin, 16-55 (2000)
Hickernell, F. J.: A generalized discrepancy and quadrature error bound. Math-ematics of Computation, 67 (221), 299-322 (1998)
18. Hickernell, F. J.: An algorithm driven approach to error analysis for multidimensional integration, submitted.
Hickernell, F. J.: My dream quadrature rule. J. Complexity, 19, 420-427 (2003)
Huffman, W. C. and Pless, V.: Fundamentals of error-correcting codes, Cambridge University Press, Cambridge (2003)
Johnson, M. E., Moore, L. M., and Ylvisaker, D.: Minimax and maxmin distance designs. J. Statist. Plann. Inference 26, 131-148 (1990)
Kuipers, L. and Niederreiter, H.: Uniform Distribution of Sequences. Wiley-Interscience, New York (1974)
Lafon, S. and Coifman, R. R.: Diffusion maps. Applied and Computational Har-monic Analysis, 21, 5-30 (2006)
Niederreiter, H.: Random Number Generation and Quasi-Monte Carlo Meth-ods. Volume 63 of SIAM CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM, Philadelphia (1992)
Lubotzky, A., Phillips, R., and Sarnak, P.: Hecke operators and distributing points on the sphere (I-II). Comm. Pure App. Math. 39-40, 148-186, 401-420 (1986, 1987)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Damelin, S.B. (2008). On Bounds for Diffusion, Discrepancy and Fill Distance Metrics. In: Gorban, A.N., Kégl, B., Wunsch, D.C., Zinovyev, A.Y. (eds) Principal Manifolds for Data Visualization and Dimension Reduction. Lecture Notes in Computational Science and Enginee, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73750-6_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-73750-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73749-0
Online ISBN: 978-3-540-73750-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)