- Identity matrix
In
linear algebra , the identity matrix or unit matrix of size "n" is the "n"-by-"n"square matrix with ones on themain 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. (In some fields, such asquantum mechanics , the identity matrix is denoted by a boldface one, 1; otherwise it is identical to "I".):
Some mathematics books use "U" and "E" to represent the Identity Matrix (meaning "Unit Matrix" and "Elementary Matrix", or from the German "Einheitsmatrix" ["Identity Matrix"; On Wolfram's MathWorld; http://mathworld.wolfram.com/IdentityMatrix.html] , respectively), although "I" is considered more universal.
The important property of
matrix multiplication of identity matrix is that for "m"-by-"n" "A":In particular, the identity matrix serves as the unit of the ring of all "n"-by-"n" matrices, and as theidentity element of thegeneral linear group GL("n") consisting of all invertible "n"-by-"n" matrices. (The identity matrix itself is obviously invertible, being its own inverse.)Where "n"-by-"n" matrices are used to represent
linear transformation s from an "n"-dimensional vector space to itself, "In" represents theidentity function , regardless of the basis.The "i"th column of an identity matrix is the
unit vector "ei". The unit vectors are also theeigenvector s of the identity matrix, all corresponding to the eigenvalue 1, which is therefore the only eigenvalue and hasmultiplicity "n". It follows that thedeterminant 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::
It can also be written using the
Kronecker delta notation::The identity matrix also has the property that, when it is the product of two square matrices, the matrices can be said to be the inverse of one another.
References
External links
*planetmath reference|title=Identity matrix|id=1223
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