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Optimal Polynomial Meshes Exist on any Multivariate Convex Domain

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Abstract

We show that optimal polynomial meshes exist for every convex body in \({\mathbb {R}}^d\), confirming a conjecture by A. Kroó.

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Notes

  1. There appears to be no consistency in the literature for the names of the maximal volume-inscribed ellipsoid and the minimal volume-circumscribed ellipsoid; either one may be referred to as John’s or Löwner-John’s or Löwner’s ellipsoid. According to Busemann, Löwner discovered the uniqueness of the minimal volume ellipsoid, but this was never published. John established a characterization for these ellipsoids which implied uniqueness and other properties. An interested reader is referred to the survey [10].

References

  1. Bloom, T., Bos, L. P., Calvi, J.-P., Levenberg, N., Polynomial interpolation and approximation in \(\mathbb{C}^d\), Ann. Polon. Math., 106, 2012, 53–81,

    Article  MATH  Google Scholar 

  2. Bos, L., Calvi, J.-P., Levenberg, N., Sommariva, A., Vianello, M., Geometric weakly admissible meshes, discrete least squares approximations and approximate Fekete points, Math. Comp., 80, 2011, 275, 1623–1638,

    Article  MATH  Google Scholar 

  3. Bos, Len, Vianello, Marco, Tchakaloff polynomial meshes, Ann. Polon. Math., 122, 2019, 3, 221–231,

    Article  MATH  Google Scholar 

  4. Boyd, Stephen, Vandenberghe, Lieven, Convex optimization, Cambridge University Press, Cambridge, 2004,

    Google Scholar 

  5. Dai, F., Prymak, A., Temlyakov, V. N., Tikhonov, S. Yu., Integral norm discretization and related problems, Russian, with Russian summary, Uspekhi Mat. Nauk, 74, 2019, 4(448), 3–58, Russian Math. Surveys, 74, 2019, 4, 579–630, ,

  6. De Marchi, Stefano, Marchioro, Martina, Sommariva, Alvise, Polynomial approximation and cubature at approximate Fekete and Leja points of the cylinder, Appl. Math. Comput., 218, 2012, 21, 10617–10629,

    MATH  Google Scholar 

  7. DeVore, Ronald A., Lorentz, George G., Constructive approximation, Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], 303, Springer-Verlag, Berlin, 1993, x+449,

  8. Dubiner, Moshe, The theory of multi-dimensional polynomial approximation, J. Anal. Math., 67, 1995, 39–116,

    Article  MATH  Google Scholar 

  9. Ivanov, K. G., Totik, V., Fast decreasing polynomials, Constr. Approx., 6, 1990, 1, 1–20,

    Article  MATH  Google Scholar 

  10. Henk, Martin, Löwner-John ellipsoids, Doc. Math., 2012, Extra vol.: Optimization stories, 95–106,

  11. Kroó, András, On optimal polynomial meshes, J. Approx. Theory, 163, 2011, 9, 1107–1124,

    Article  MATH  Google Scholar 

  12. Kroó, András, Bernstein type inequalities on star-like domains in \(\mathbb{R}^d\) with application to norming sets, Bull. Math. Sci., 3, 2013, 3, 349–361,

    Article  MATH  Google Scholar 

  13. Kroó, András, Christoffel functions on convex and starlike domains in \(\mathbb{R}^d\), J. Math. Anal. Appl., 421, 2015, 1, 718–729,

    Article  MATH  Google Scholar 

  14. Kroó, A., Multivariate fast decreasing polynomials, Acta Math. Hungar., 149, 2016, 1, 101–119,

    Article  MATH  Google Scholar 

  15. Kroó, András, On the existence of optimal meshes in every convex domain on the plane, J. Approx. Theory, 238, 2019, 26–37,

    Article  MATH  Google Scholar 

  16. Jetter, Kurt, Stöckler, Joachim, Ward, Joseph D., Error estimates for scattered data interpolation on spheres, Math. Comp., 68, 1999, 226, 733–747,

    Article  MATH  Google Scholar 

  17. Mastroianni, G., Totik, V., Weighted polynomial inequalities with doubling and \(A_\infty \) weights, Constr. Approx., 16, 2000, 1, 37–71,

    Article  MATH  Google Scholar 

  18. Piazzon, Federico, Optimal polynomial admissible meshes on some classes of compact subsets of \(\mathbb{R}^d\), J. Approx. Theory, 207, 2016, 241–264,

    Article  MATH  Google Scholar 

  19. Prymak, A., Geometric computation of Christoffel functions on planar convex domains, J. Approx. Theory, 268, 2021, Paper No. 105603, 13,

  20. Roberts, A. Wayne, Varberg, Dale E., Convex functions, Pure and Applied Mathematics, Vol. 57, Academic Press [A subsidiary of Harcourt Brace Jovanovich, Publishers], New York-London, 1973, xx+300,

  21. Schneider, Rolf, Convex bodies: the Brunn-Minkowski theory, Encyclopedia of Mathematics and its Applications, 151, Second expanded edition, Cambridge University Press, Cambridge, 2014, xxii+736,

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Acknowledgements

The authors thank the referees for the valuable comments and suggestions.

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Correspondence to Andriy Prymak.

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Communicated by Pencho Petrushev.

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The first author was supported by NSERC of Canada Discovery grant RGPIN-2020-03909, and the second author was supported by NSERC of Canada Discovery grant RGPIN-2020-05357.

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Dai, F., Prymak, A. Optimal Polynomial Meshes Exist on any Multivariate Convex Domain. Found Comput Math (2023). https://doi.org/10.1007/s10208-023-09606-x

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  • DOI: https://doi.org/10.1007/s10208-023-09606-x

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