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nilpotent matrix : ウィキペディア英語版
nilpotent matrix
In linear algebra, a nilpotent matrix is a square matrix ''N'' such that
:N^k = 0\,
for some positive integer ''k''. The smallest such ''k'' is sometimes called the degree or index of ''N''.
More generally, a nilpotent transformation is a linear transformation ''L'' of a vector space such that ''L''''k'' = 0 for some positive integer ''k'' (and thus, ''L''''j'' = 0 for all ''j'' ≥ ''k''). Both of these concepts are special cases of a more general concept of nilpotence that applies to elements of rings.
==Examples==
The matrix
:
M = \begin
0 & 1 \\
0 & 0
\end

is nilpotent, since ''M''2 = 0. More generally, any triangular matrix with 0s along the main diagonal is nilpotent. For example, the matrix
:
N = \begin
0 & 2 & 1 & 6\\
0 & 0 & 1 & 2\\
0 & 0 & 0 & 3\\
0 & 0 & 0 & 0
\end

is nilpotent, with
:
N^2 = \begin
0 & 0 & 2 & 7\\
0 & 0 & 0 & 3\\
0 & 0 & 0 & 0\\
0 & 0 & 0 & 0
\end
;\
N^3 = \begin
0 & 0 & 0 & 6\\
0 & 0 & 0 & 0\\
0 & 0 & 0 & 0\\
0 & 0 & 0 & 0
\end
;\
N^4 = \begin
0 & 0 & 0 & 0\\
0 & 0 & 0 & 0\\
0 & 0 & 0 & 0\\
0 & 0 & 0 & 0
\end.

Though the examples above have a large number of zero entries, a typical nilpotent matrix does not. For example, the matrix
:
N = \begin
5 & -3 & 2 \\
15 & -9 & 6 \\
10 & -6 & 4
\end

squares to zero, though the matrix has no zero entries.

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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