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Hint: The normal form of a matrix is obtained from its original matrix by undergoing transformations on the rows and columns. The transformations include multiplying a row with a certain integer and subtracting the values of the row from another row and placing the result in its previous place.
In mathematics, two square matrices A and B over a field are called congruent if there exists an invertible matrix P over the same field such that PTAP = B. where T denotes the matrix transpose.
In mathematics, a congruent transformation (or congruence transformation) is: Another term for an isometry; see congruence (geometry). A transformation of the form A PTAP, where A and P are square matrices, P is invertible, and PT denotes the transpose of P; see Matrix Congruence and congruence in linear algebra.
Simple normal forms are given for symmetric, skew symmetric, and general complex matrices. These three cases can be combined into a single one, if one considers matrices with elements in a suitable ground field.
Proposition A matrix A is normal if and only if there exist a diagonal matrix and a unitary matrix U such that A = UU*. The diagonal entries of are the eigenvalues of A, and the columns of U are the eigenvectors of A.
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The normal form of a matrix A is a matrix N of a pre-assigned special form obtained from A by means of transformations of a prescribed type.
Examples of Normal Matrix Hence AHA = AAH, that is a normal matrix. Let us take another example of a real matrix and check whether it satisfies the condition of a normal matrix. For a real matrix, the conjugate transpose will be the same as the transpose of matrix. Thus, ATA = AAT, A is normal.

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