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pro vyhledávání: '"Ball, Keith"'
Autor:
Ball, Keith
This note contains a short proof of the functional equation for the zeta function.
Externí odkaz:
http://arxiv.org/abs/2201.05822
Autor:
Ball, Keith M
This note describes continued fraction representations for the rational approximations to the zeta function recently found by the author. It is tempting to think that these continued fractions might be analysed using a souped up version of the Worpit
Externí odkaz:
http://arxiv.org/abs/1810.01613
Autor:
Ball, Keith
This article describes a sequence of rational functions which converges locally uniformly to the zeta function. The numerators (and denominators) of these rational functions can be expressed as characteristic polynomials of matrices that are on the f
Externí odkaz:
http://arxiv.org/abs/1706.07998
We give a new proof of the fact that the vanishing of generalized Wronskians implies linear dependence of formal power series in serveral variables. Our results are also valid for quotients of germs of analytic functions.
Externí odkaz:
http://arxiv.org/abs/1611.00248
Publikováno v:
Studia Math. 235 (2016), no. 1, 17-30
We prove that the exponent of the entropy of one dimensional projections of a log-concave random vector defines a 1/5-seminorm. We make two conjectures concerning reverse entropy power inequalities in the log-concave setting and discuss some examples
Externí odkaz:
http://arxiv.org/abs/1509.05926
Autor:
Ball, Keith
Publikováno v:
Proceedings: Mathematical, Physical and Engineering Sciences, 2019 May . 475(2225), 1-19.
Externí odkaz:
https://www.jstor.org/stable/26743243
Autor:
Ball, Keith Douglas.
Thesis (Ph. D.)--University of Chicago, Dept. of Physics, August 1998.
Includes bibliographical references. Also available on the Internet.
Includes bibliographical references. Also available on the Internet.
Autor:
Ball, Keith, Nguyen, Van Hoang
Publikováno v:
Studia Math. 213 (1) (2012), 81-96
We prove a quantitative dimension-free bound in the Shannon-Stam Entropy inequality for the convolution of two log-concave distributions in dimension d interms of the spectral gap of the density. The method relies on the analysis of the Fisher Inform
Externí odkaz:
http://arxiv.org/abs/1206.5098