Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a22f072ecfedfa14

Jump to content

Exchange matrix

From Wikipedia, the free encyclopedia

In mathematics, especially linear algebra, the exchange matrices (also called the reversal matrix, backward identity, or standard involutory permutation) are special cases of permutation matrices, where the 1 elements reside on the antidiagonal and all other elements are zero. In other words, they are 'row-reversed' or 'column-reversed' versions of the identity matrix.[1]

Definition

[edit]

If J is an n × n exchange matrix, then the elements of J are

Properties

[edit]
  • Premultiplying a matrix by an exchange matrix flips vertically the positions of the former's rows, i.e.,
  • Postmultiplying a matrix by an exchange matrix flips horizontally the positions of the former's columns, i.e.,
  • Exchange matrices are symmetric; that is:
  • For any integer k: In particular, Jn is an involutory matrix; that is,
  • The trace of Jn is 1 if n is odd and 0 if n is even. In other words:
  • The determinant of Jn is: As a function of n, it has period 4, giving 1, 1, −1, −1 when n is congruent modulo 4 to 0, 1, 2, and 3 respectively.
  • The characteristic polynomial of Jn is:

its eigenvalues are 1 (with multiplicity ) and -1 (with multiplicity ).

  • The adjugate matrix of Jn is: (where sgn is the sign of the permutation πk of k elements).

Relationships

[edit]
  • An exchange matrix is the simplest anti-diagonal matrix.
  • Any matrix A satisfying the condition AJ = JA is said to be centrosymmetric.
  • Any matrix A satisfying the condition AJ = JAT is said to be persymmetric.
  • Symmetric matrices A that satisfy the condition AJ = JA are called bisymmetric matrices. Bisymmetric matrices are both centrosymmetric and persymmetric.

See also

[edit]

References

[edit]
  1. Horn, Roger A.; Johnson, Charles R. (2012), "§0.9.5.1 n-by-n reversal matrix", Matrix Analysis (2nd ed.), Cambridge University Press, p. 33, ISBN 978-1-139-78888-5.