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Symmetrized Chebyshev polynomials
Author(s):
Igor
Rivin
Journal:
Proc. Amer. Math. Soc.
133
(2005),
1299-1305.
MSC (2000):
Primary 05C25, 05C20, 05C38, 41A10, 60F05
Posted:
November 19, 2004
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Abstract:
We define a class of multivariate Laurent polynomials closely related to Chebyshev polynomials and prove the simple but somewhat surprising (in view of the fact that the signs of the coefficients of the Chebyshev polynomials themselves alternate) result that their coefficients are non-negative. As a corollary we find that and are positive definite functions. We further show that a Central Limit Theorem holds for the coefficients of our polynomials.
References:
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- William Feller. An Introduction to Probability Theory and its Applications, Volume II, second edition, John Wiley, New York, 1971. MR 0270403 (42:5292)
- [Rivin99]
- Igor Rivin. Growth in Free Groups (and other stories), arxiv.org preprint math.CO/9911076
- [Rivlin90]
- Theodore J. Rivlin. Chebyshev Polynomials: From Approximation Theory to Algebra and Number Theory, second edition, Wiley Interscience, 1990. MR 1060735 (92a:41016)
- [Sharp01]
- Richard Sharp. Local limit theorems for free groups, Math. Ann. 321(4), 2001, pp. 889-904. MR 1872533 (2002k:20039)
- [Schur73]
- Issai Schur. Arithmetischen über die Tschebyscheffschen Polynome, in Gesammelte Abhandlungen, III, Springer, Berlin, 1973, pp. 422-453. MR 0462891 (57:2858a)
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Additional Information:
Igor
Rivin
Affiliation:
Department of Mathematics, Temple University, Philadelphia, Pennsylvania 19122
Email:
rivin@math.temple.edu
DOI:
10.1090/S0002-9939-04-07664-6
PII:
S 0002-9939(04)07664-6
Keywords:
Chebyshev polynomials,
positivity,
central limit theorem
Received by editor(s):
February 7, 2003
Received by editor(s) in revised form:
January 9, 2004
Posted:
November 19, 2004
Additional Notes:
These results first appeared in the author's 1998 preprint ``Growth in free groups (and other stories)'', but seems to be of independent interest. The positivity result was preprint math.CA/0301210, but there appears to be no reason to separate it from the limiting distribution result, and many reasons to keep them together. The author would like to thank the Princeton University Mathematics Department for its hospitality, and the NSF DMS for its support. He would also like to thank the anonymous referee for useful comments on an earlier version of this paper
Communicated by:
Juha M. Heinonen
Copyright of article:
Copyright
2004,
American Mathematical Society
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