Abstract
In this paper, we study linear trigonometric hyperbolic cross approximations, Kolmogorov n-widths d n (W,H γ), and ε-dimensions n ε (W,H γ) of periodic d-variate function classes W with anisotropic smoothness, where d may be large. We are interested in finding the accurate dependence of d n (W,H γ) and n ε (W,H γ) as a function of two variables n, d and ε, d, respectively. Recall that n, the dimension of the approximating subspace, is the main parameter in the study of convergence rates with respect to n going to infinity. However, the parameter d may seriously affect this rate when d is large. We construct linear approximations of functions from W by trigonometric polynomials with frequencies from hyperbolic crosses and prove upper bounds for the error measured in isotropic Sobolev spaces H γ. Furthermore, in order to show the optimality of the proposed approximation, we prove upper and lower bounds of the corresponding n-widths d n (W,H γ) and ε-dimensions n ε (W,H γ). Some of the received results imply that the curse of dimensionality can be broken in some relevant situations.
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References
K.I. Babenko, On the approximation of periodic functions of several variables by trigonometric polynomials, Dokl. Akad. Nauk SSSR 132, 247–250 (1960). English transl. in Soviet Math. Dokl. 1 (1960).
R. Bellmann, Dynamic Programming (Princeton University Press, Princeton, 1957).
H.-J. Bungartz, M. Griebel, A note on the complexity of solving Poisson’s equation for spaces of bounded mixed derivatives, J. Complex. 15, 167–199 (1999).
H.-J. Bungartz, M. Griebel, Sparse grids, Acta Numer. 13, 147–269 (2004).
J. Céa, Approximation variationnelle des problémes aux limites, Ann. Inst. Fourier 14, 345–444 (1964).
A. Chernov, Sparse polynomial approximation in positive order Sobolev spaces with bounded mixed derivatives and applications to elliptic problems with random loading, Appl. Numer. Math. 62, 360–377 (2012).
A. Chernov, C. Schwab, Sparse p-version BEM for first kind boundary integral equations with random loading, Appl. Numer. Math. 59, 2698–2712 (2009).
R.A. DeVore, S.V. Konyagin, V.N. Temlyakov, Hyperbolic wavelet approximation, Constr. Approx. 14, 1–26 (1998).
R. DeVore, G. Petrova, P. Wojtaszcyk, Approximating functions of few variables in high dimensions, Constr. Approx. 33, 125–143 (2011).
D. Dũng, Some approximative characteristics of the classes of smooth functions of several variables in the metric of L 2, Usp. Mat. Nauk 34, 189–190 (1979).
D. Dũng, Mean ε-dimension of the functional class B G,p , Mat. Zametki 28, 727–736 (1980).
D. Dũng, Approximation of functions of several variables on a torus by trigonometric polynomials, Mat. Sb. (N.S.) 131(2), 251–271 (1986).
D. Dũng, On optimal recovery of multivariate periodic functions, in Harmonic Analysis, ed. by S. Igary (Springer, Berlin, 1991), pp. 96–105.
D. Dũng, Optimal recovery of functions of a certain mixed smoothness, Vietnam J. Math. 20(2), 18–32 (1992).
D. Dũng, B-spline quasi-interpolant representations and sampling recovery of functions with mixed smoothness, J. Complex. 27, 541–567 (2011).
D. Dũng, D. Dryanov, The minimal number of sample values for recovery of non-bandlimited functions, Atti Semin. Mat. Fis. Univ. Modena 39, 423–431 (1991).
J. Garcke, M. Griebel, M. Thess, Data mining with sparse grids, Computing 67, 225–253 (2001).
T. Gerstner, Sparse grid quadrature methods for computational finance. Habilitation, Institute for Numerical Simulation, University of Bonn, 2007.
T. Gerstner, M. Griebel, Sparse grids, in Encyclopedia of Quantitative Finance, ed. by R. Cont (Wiley, New York, 2010).
M. Griebel, J. Hamaekers, Tensor product multiscale many-particle spaces with finite-order weights for the electronic Schrödinger equation, Z. Phys. Chem. 224, 527–543 (2010).
M. Griebel, S. Knapek, Optimized tensor-product approximation spaces, Constr. Approx. 16, 525–540 (2000).
M. Griebel, S. Knapek, Optimized general sparse grid approximation spaces for operator equations, Math. Comput. 78(268), 2223–2257 (2009).
A.N. Kolmogorov, Über die beste Annäherung von Funktionen einer Funktionklasse, Ann. Math. 37, 107–111 (1936).
A.N. Kolmogorov, Mathematics and Mechanics. Selected Papers, vol. I (Nauka, Moscow, 1985) (in Russian).
P.D. Lax, A.N. Milgram, “Parabolic equations”. Contributions to the theory of partial differential equations, Ann. Math. Stud. 33, 167–190 (1954).
E. Novak, H. Woźniakowski, Tractability of Multivariate Problems, Volume I: Linear Information. EMS Tracts in Mathematics, vol. 6 (Eur. Math. Soc. Publ. House, Zürich, 2008).
E. Novak, H. Woźniakowski, Approximation of infinitely differentiable multivariate functions is intractable, J. Complex. 25, 398–404 (2009).
E. Novak, H. Woźniakowski, Optimal order of convergence and (in)tractability of multivariate approximation of smooth functions, Constr. Approx. 30, 457–473 (2009).
E. Novak, H. Woźniakowski, Tractability of Multivariate Problems, Volume II: Standard Information for Functionals. EMS Tracts in Mathematics, vol. 12 (Eur. Math. Soc. Publ. House, Zürich, 2010).
A. Pinkus, N-Widths in Approximation Theory (Springer, New York, 1985).
C. Schwab, R.-A. Todor, Sparse finite elements for elliptic problems with stochastic loading, Numer. Math. 95, 707–734 (2003).
C. Schwab, R.-A. Todor, Sparse finite elements for stochastic elliptic problems higher order moments, Computing 71, 43–63 (2003).
L. Schwartz, Théorie des Distributions (Hermann & Cie, Paris, 1966).
W. Sickel, T. Ullrich, The Smolyak algorithm, sampling on sparse grids and function spaces of dominating mixed smoothness, East J. Approx. 13, 387–425 (2007).
W. Sickel, T. Ullrich, Tensor products of Sobolev–Besov spaces and applications to approximation from the hyperbolic cross, J. Approx. Theory 161, 748–786 (2009).
W. Sickel, T. Ullrich, Spline interpolation on sparse grids, Appl. Anal. 90, 337–383 (2011).
S.A. Smolyak, Quadrature and interpolation formulas for tensor products of certain classes of functions, Dokl. Akad. Nauk SSSR 148, 1042–1045 (1963).
V.N. Temlyakov, Approximation of Periodic Functions. Computational Mathematics and Analysis Series (Nova Science, Commack, 1993).
V.M. Tikhomirov, Widths of sets in function spaces and the theory of best approximations, Usp. Mat. Nauk 15(3), 81–120 (1960). English translation in Russian Math. Survey, 15, 1960.
V.M. Tikhomirov, Some problems in approximation theory. Moscow State University, 1985 (in Russian).
R.-A. Todor, A new approach to energy-based sparse finite-element spaces, IMA J. Numer. Anal. 29(1), 72–85 (2009).
T. Ullrich, Smolyak’s algorithm, sampling on sparse grids and Sobolev spaces of dominating mixed smoothness, East J. Approx. 14, 1–38 (2008).
G. Wasilkowski, H. Woźniakowski, Explicit cost bounds of algorithms for multivariate tensor product problems, J. Complex. 11, 1–56 (1995).
P. Wojtaszcyk, Complexity of approximation of functions of few variables in high dimensions, J. Complex. 27, 141–150 (2011).
H. Yserentant, On the regularity of the electronic Schrödinger equation in Hilbert spaces of mixed derivatives, Numer. Math. 98, 731–759 (2004).
H. Yserentant, Sparse grid spaces for the numerical solution of the electronic Schrödinger equation, Numer. Math. 101, 381–389 (2005).
H. Yserentant, Regularity and Approximability of Electronic Wave Functions. Lecture Notes in Mathematics, vol. 2000 (Springer, Berlin, 2010).
Acknowledgements
The work of the first named author was supported by Grant 102.01-2012.15 of the National Foundation for Development of Science and Technology (Vietnam). The both authors would like to thank the Hausdorff Research Institute for Mathematics (HIM) and the organizers of the HIM Trimester Program “Analysis and Numerics for High Dimensional Problems”, where this paper was initiated, for providing a fruitful research environment and additional financial support. Last but not least, the authors would like to thank the referees for a critical reading of the manuscript and for several valuable suggestions which helped to improve its presentation.
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Communicated by Wolfgang Dahmen.
Dedicated to the memory of Professor S.M. Nikol’skij.
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Dũng, D., Ullrich, T. N-Widths and ε-Dimensions for High-Dimensional Approximations. Found Comput Math 13, 965–1003 (2013). https://doi.org/10.1007/s10208-013-9149-9
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DOI: https://doi.org/10.1007/s10208-013-9149-9
Keywords
- High-dimensional approximation
- Trigonometric hyperbolic cross space
- Kolmogorov n-widths
- ε-dimensions
- Sobolev space
- Function classes with anisotropic smoothness