Lucas' theorem: Difference between revisions

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{{Unreferenced|date=November 2006}}
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In [[mathematics]], a '''signature matrix''' is a [[diagonal matrix]] whose diagonal elements are plus or minus 1, that is, any matrix of the form:
 
:<math>A=\begin{pmatrix}
\pm 1  & 0      & \cdots & 0      & 0      \\
0      & \pm 1  & \cdots & 0      & 0      \\
\vdots  & \vdots  & \ddots & \vdots  & \vdots \\
0      & 0      & \cdots & \pm 1  & 0      \\
0      & 0      & \cdots & 0      & \pm 1 
\end{pmatrix}</math>
 
Any such matrix is its own [[inverse matrix|inverse]], hence is an [[involutary matrix]]. It is consequently a [[square root of a matrix|square root]] of the [[identity matrix]]. Note however that not all square roots of the identity are signature matrices.
 
Noting that signature matrices are both [[symmetric matrix|symmetric]] and involutary, they are thus [[orthogonal matrix|orthogonal]]. Consequently, any linear transformation corresponding to a signature matrix constitutes an [[isometry]].
 
Geometrically, signature matrices represent a [[reflection (mathematics)|reflection]] in each of the axes corresponding to the negated rows or columns.
 
==See also==
* [[Involution (mathematics)]]
* [[Metric signature]]
 
{{DEFAULTSORT:Signature Matrix}}
[[Category:Matrices]]
 
 
{{Linear-algebra-stub}}

Latest revision as of 13:02, 24 May 2014

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