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Identity matrix

From Wikipedia, the free encyclopedia
Square matrix with ones on the main diagonal and zeros elsewhere
Not to be confused withmatrix of ones,unitary matrix, ormatrix unit.

Inlinear algebra, theidentity matrix of sizen{\displaystyle n} is then×n{\displaystyle n\times n}square matrix with ones on themain diagonal and zeros elsewhere. It has unique properties, for example when the identity matrix represents ageometric transformation, the object remains unchanged by the transformation. In other contexts, it is analogous to multiplying by the number 1.

Terminology and notation

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The identity matrix is often denoted byIn{\displaystyle I_{n}}, or simply byI{\displaystyle I} if the size is immaterial or can be trivially determined by the context.[1]

I1=[1], I2=[1001], I3=[100010001], , In=[1000010000100001].{\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}},\ \dots ,\ 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}}.}

The termunit matrix has also been widely used,[2][3][4][5] but the termidentity matrix is now standard.[6] The termunit matrix is ambiguous, because it is also used for amatrix of ones and for anyunit of thering of alln×n{\displaystyle n\times n} matrices.[7]

In some fields, such asgroup theory orquantum mechanics, the identity matrix is sometimes denoted by a boldface one,1{\displaystyle \mathbf {1} }, or called "id" (short for identity). Less frequently, some mathematics books useU{\displaystyle U} orE{\displaystyle E} to represent the identity matrix, standing for "unit matrix"[2] and the German wordEinheitsmatrix respectively.[8]

In terms of a notation that is sometimes used to concisely describediagonal matrices, the identity matrix can be written asIn=diag(1,1,,1).{\displaystyle I_{n}=\operatorname {diag} (1,1,\dots ,1).}The identity matrix can also be written using theKronecker delta notation:[8](In)ij=δij.{\displaystyle (I_{n})_{ij}=\delta _{ij}.}

Properties

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WhenA{\displaystyle A} is anm×n{\displaystyle m\times n} matrix, it is a property ofmatrix multiplication thatImA=AIn=A.{\displaystyle I_{m}A=AI_{n}=A.}In particular, the identity matrix serves as themultiplicative identity of thematrix ring of alln×n{\displaystyle n\times n} matrices, and as theidentity element of thegeneral linear groupGL(n){\displaystyle GL(n)}, which consists of allinvertiblen×n{\displaystyle n\times n} matrices under the matrix multiplication operation. In particular, the identity matrix is invertible. It is aninvolutory matrix, equal to its own inverse. In this group, two square matrices have the identity matrix as their product exactly when they are the inverses of each other.

Whenn×n{\displaystyle n\times n} matrices are used to representlinear transformations from ann{\displaystyle n}-dimensional vector space to itself, the identity matrixIn{\displaystyle I_{n}} represents theidentity function, for whateverbasis was used in this representation.

Thei{\displaystyle i}th column of an identity matrix is theunit vectorei{\displaystyle e_{i}}, a vector whosei{\displaystyle i}th entry is 1 and 0 elsewhere. Thedeterminant of the identity matrix is 1, and itstrace isn{\displaystyle n}.

The identity matrix is the onlyidempotent 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 arelinearly independent.

Theprincipal square root of an identity matrix is itself, and this is its onlypositive-definite square root. However, every identity matrix with at least two rows and columns has an infinitude of symmetric square roots.[9]

Therank of an identity matrixIn{\displaystyle I_{n}} equals the sizen{\displaystyle n}, i.e.:rank(In)=n.{\displaystyle \operatorname {rank} (I_{n})=n.}

See also

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Notes

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  1. ^"Identity matrix: intro to identity matrices (article)".Khan Academy. Retrieved2020-08-14.
  2. ^abPipes, Louis Albert (1963).Matrix Methods for Engineering. Prentice-Hall International Series in Applied Mathematics. Prentice-Hall. p. 91.
  3. ^Roger Godement,Algebra, 1968.
  4. ^ISO 80000-2:2009.
  5. ^Ken Stroud,Engineering Mathematics, 2013.
  6. ^ISO 80000-2:2019.
  7. ^Weisstein, Eric W."Unit Matrix".mathworld.wolfram.com. Retrieved2021-05-05.
  8. ^abWeisstein, Eric W."Identity Matrix".mathworld.wolfram.com. Retrieved2020-08-14.
  9. ^Mitchell, Douglas W. (November 2003)."87.57 Using Pythagorean triples to generate square roots ofI2{\displaystyle I_{2}}".The Mathematical Gazette.87 (510):499–500.doi:10.1017/S0025557200173723.JSTOR 3621289.
Matrix classes
Explicitly constrained entries
Constant
Conditions oneigenvalues or eigenvectors
Satisfying conditions onproducts orinverses
With specific applications
Used instatistics
Used ingraph theory
Used in science and engineering
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