MULTIPLICATIVE RENORMALIZATION AND GENERATING FUNCTIONS II
MULTIPLICATIVE RENORMALIZATION AND GENERATING FUNCTIONS II
复制标题
乘法重整化和生成函数 II
DOI:
10.11650/tjm.7.2003.1116
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发表时间:
2003
影响因子:
0.4
通讯作者:
H. Kuo
中科院分区:
文献类型:
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作者:
Nobuhiro Asai;I. Kubo;H. Kuo
Let $\mu$ be a probability measure on the real line with finite moments of all orders. Suppose the linear span of polynomials is dense in $L^2(\mu)$. Then there exists a sequence $\{P_n\}_{n=0}^\infty$ of orthogonal polynomials with respect to $\mu$ such that $P_n$ is a polynomial of degree $n$ with leading coefficient $1$ and the equality $(x-\alpha_n) P_n(x) = P_{n+1}(x) + \omega_n P_{n-1}(x)$ holds, where $\alpha_n$ and $\omega_n$ are Szeg\"o-Jacobi parameters. In this paper we use the concepts of pre-generating function, multiplicative renormalization, and generating function to derive $\{P_n, \alpha_n, \omega_n\}$ from a given $\mu$. Two types of pre-generating functions are studied. We apply our method to the special distributions such as Gaussian, Poisson, gamma, uniform, arcsine, semi-circle, and beta-type to derive $\{P_n, \alpha_n, \omega_n\}$. Moreover, we show that the corresponding polynomials $P_n$'s are exactly the classical polynomials such as Hermite, Charlier, Laguerre, Legendre, Chebyshev of the first kind, Chebyshev of the second kind, and Gegenbauer. We also apply our method to study the negative binomial distributions.
DOI:
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发表时间:
2007
期刊:
影响因子:
--
作者:
Nobuhiro Asai;Izumi Kubo;Hui-Hsiung Kuo;Toshio Nakata;Nobuhiro Asai;Izumi Kubo;Toshio Nakata;Nobuhiro Asai;谷口 礼偉;Hirotake Yaguchi;Nobuhiro Asai
通讯作者:
Nobuhiro Asai
DOI:
--
发表时间:
2006
期刊:
Quantum Information V
影响因子:
--
作者:
Hidetaka Hamada;Tatsuhiro Honda;Gabriela Kohr;Izumi Kubo;Hisashi Yokota;Hidetaka Hamada;Nobuhiro Asai
通讯作者:
Nobuhiro Asai