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Alternant matrix : ウィキペディア英語版
Alternant matrix

In linear algebra, an alternant matrix is a matrix with a particular structure, in which successive columns have a particular function applied to their entries. An alternant determinant is the determinant of an alternant matrix. Such a matrix of size ''m'' × ''n'' may be written out as
:M=\begin
f_1(\alpha_1) & f_2(\alpha_1) & \dots & f_n(\alpha_1)\\
f_1(\alpha_2) & f_2(\alpha_2) & \dots & f_n(\alpha_2)\\
f_1(\alpha_3) & f_2(\alpha_3) & \dots & f_n(\alpha_3)\\
\vdots & \vdots & \ddots &\vdots \\
f_1(\alpha_m) & f_2(\alpha_m) & \dots & f_n(\alpha_m)\\
\end
or more succinctly
:M_ = f_j(\alpha_i)
for all indices ''i'' and ''j''. (Some authors use the transpose of the above matrix.)
Examples of alternant matrices include Vandermonde matrices, for which f_i(\alpha)=\alpha^, and Moore matrices, for which f_i(\alpha)=\alpha^
1 & \alpha_1 & \dots & \alpha_1^ \\
1 & \alpha_2 & \dots & \alpha_2^ \\
1 & \alpha_3 & \dots & \alpha_3^ \\
\vdots & \vdots & \ddots &\vdots \\
1 & \alpha_n & \dots & \alpha_n^ \\
\end

(a Vandermonde matrix), then \prod_ (\alpha_j - \alpha_i) = \det V divides such polynomial alternant determinants. The ratio \frac is called a bialternant. The case where each function f_j(x) = x^ forms the classical definition of the Schur polynomials.
Alternant matrices are used in coding theory in the construction of alternant codes.
==See also==

* List of matrices

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Alternant matrix」の詳細全文を読む



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