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Companion matrix : ウィキペディア英語版
Companion matrix
In linear algebra, the Frobenius companion matrix of the monic polynomial
:
p(t)=c_0 + c_1 t + \cdots + c_t^ + t^n ~,

is the square matrix defined as
:C(p)=\begin
0 & 0 & \dots & 0 & -c_0 \\
1 & 0 & \dots & 0 & -c_1 \\
0 & 1 & \dots & 0 & -c_2 \\
\vdots & \vdots & \ddots & \vdots & \vdots \\
0 & 0 & \dots & 1 & -c_
\end.
With this convention, and on the basis , one has
:Cv_i = C^v_1 = v_
(for ), and generates as a -module: cycles basis vectors.
Some authors use the transpose of this matrix, which (dually) cycles coordinates, and is more convenient for some purposes, like linear recurrence relations.
==Characterization==
The characteristic polynomial as well as the minimal polynomial of are equal to .〔

In this sense, the matrix is the "companion" of the polynomial .
If is an ''n''-by-''n'' matrix with entries from some field , then the following statements are equivalent:
* is similar to the companion matrix over of its characteristic polynomial
* the characteristic polynomial of coincides with the minimal polynomial of , equivalently the minimal polynomial has degree
* there exists a cyclic vector in V=K^n for , meaning that is a basis of ''V''. Equivalently, such that ''V'' is cyclic as a K()-module (and V=K()/(p(A))); one says that is ''regular''.
Not every square matrix is similar to a companion matrix. But every matrix is similar to a matrix made up of blocks of companion matrices. Furthermore, these companion matrices can be chosen so that their polynomials divide each other; then they are uniquely determined by . This is the rational canonical form of .

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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