Matrix unit

Concept in mathematics

In linear algebra, a matrix unit is a matrix with only one nonzero entry with value 1.[1][2] The matrix unit with a 1 in the ith row and jth column is denoted as E i j {\displaystyle E_{ij}} . For example, the 3 by 3 matrix unit with i = 1 and j = 2 is

E 12 = [ 0 1 0 0 0 0 0 0 0 ] {\displaystyle E_{12}={\begin{bmatrix}0&1&0\\0&0&0\\0&0&0\end{bmatrix}}}
A vector unit is a standard unit vector.

A single-entry matrix generalizes the matrix unit for matrices with only one nonzero entry of any value, not necessarily of value 1.

Properties

The set of m by n matrix units is a basis of the space of m by n matrices.[2]

The product of two matrix units of the same square shape n × n {\displaystyle n\times n} satisfies the relation

E i j E k l = δ j k E i l , {\displaystyle E_{ij}E_{kl}=\delta _{jk}E_{il},}
where δ j k {\displaystyle \delta _{jk}} is the Kronecker delta.[2]

The group of scalar n-by-n matrices over a ring R is the centralizer of the subset of n-by-n matrix units in the set of n-by-n matrices over R.[2]

The matrix norm (induced by the same two vector norms) of a matrix unit is equal to 1.

When multiplied by another matrix, it isolates a specific row or column in arbitrary position. For example, for any 3-by-3 matrix A:[3]

E 23 A = [ 0 0 0 a 31 a 32 a 33 0 0 0 ] . {\displaystyle E_{23}A=\left[{\begin{matrix}0&0&0\\a_{31}&a_{32}&a_{33}\\0&0&0\end{matrix}}\right].}
A E 23 = [ 0 0 a 12 0 0 a 22 0 0 a 32 ] . {\displaystyle AE_{23}=\left[{\begin{matrix}0&0&a_{12}\\0&0&a_{22}\\0&0&a_{32}\end{matrix}}\right].}

References

  1. ^ Artin, Michael. Algebra. Prentice Hall. p. 9.
  2. ^ a b c d Lam, Tsit-Yuen (1999). "Chapter 17: Matrix Rings". Lectures on Modules and Rings. Graduate Texts in Mathematics. Vol. 189. Springer Science+Business Media. pp. 461–479.
  3. ^ Marcel Blattner (2009). "B-Rank: A top N Recommendation Algorithm". arXiv:0908.2741 [physics.data-an].
  • v
  • t
  • e
Matrix classes
Explicitly constrained entriesConstantConditions on eigenvalues or eigenvectorsSatisfying conditions on products or inversesWith specific applicationsUsed in statisticsUsed in graph theoryUsed in science and engineeringRelated terms
Stub icon

This linear algebra-related article is a stub. You can help Wikipedia by expanding it.

  • v
  • t
  • e