Identity matrix

In linear algebra, the identity matrix (sometimes ambiguously called a unit matrix) of size n is the n × n square matrix with ones on the main diagonal and zeros elsewhere. It is denoted by I_n, or simply by I if the size is immaterial or can be trivially determined by the context.[1][2] In some fields, such as group theory or quantum mechanics, the identity matrix is sometimes denoted by a boldface one, 1, or called "id" (short for identity); otherwise it is identical to I. Less frequently, some mathematics books use U or E to represent the identity matrix, meaning "unit matrix"[3] and the German word Einheitsmatrix respectively.[4]

${\displaystyle I_{1}={\begin{bmatrix}1\end{bmatrix}},\ I_{2}={\begin{bmatrix}1&0\\0&1\end{bmatrix}},\ I_{3}={\begin{bmatrix}1&0&0\\0&1&0\\0&0&1\end{bmatrix}},\ \cdots ,\ I_{n}={\begin{bmatrix}1&0&0&\cdots &0\\0&1&0&\cdots &0\\0&0&1&\cdots &0\\\vdots &\vdots &\vdots &\ddots &\vdots \\0&0&0&\cdots &1\end{bmatrix}}.}$

3x3 Identity matrix

When A is m×n, it is a property of matrix multiplication that

${\displaystyle I_{m}A=AI_{n}=A.}$

In particular, the identity matrix serves as the unit of the ring of all n×n matrices, and as the identity element of the general linear group GL(n) (a group consisting of all invertible n×n matrices). In particular, the identity matrix is invertible—with its inverse being precisely itself.

Where n×n matrices are used to represent linear transformations from an n-dimensional vector space to itself, I_n represents the identity function, regardless of the basis.

The ith column of an identity matrix is the unit vector e_i (the vector whose ith entry is 1 and 0 elsewhere) It follows that the determinant of the identity matrix is 1, and the trace is n.

Using the notation that is sometimes used to concisely describe diagonal matrices, we can write

${\displaystyle I_{n}=\operatorname {diag} (1,1,\dots ,1).}$

The identity matrix can also be written using the Kronecker delta notation:[4]

${\displaystyle (I_{n})_{ij}=\delta _{ij}.}$

When the identity matrix is the product of two square matrices, the two matrices are said to be the inverse of each other.

The identity matrix is the only idempotent matrix with non-zero determinant. That is, it is the only matrix such that:

1. When multiplied by itself, the result is itself
2. All of its rows and columns are linearly independent.

The principal square root of an identity matrix is itself, and this is its only positive-definite square root. However, every identity matrix with at least two rows and columns has an infinitude of symmetric square roots.[5]