Diagonal matrix: Difference between revisions
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* ''A'' is diagonalizable; | * ''A'' is diagonalizable; | ||
* The [[minimal polynomial]] of ''A'' has no repeated roots; | * The [[minimal polynomial]] of ''A'' has no repeated roots; | ||
* ''A'' is ''n''×''n'' and has ''n'' [[linear independence|linearly independent]] [[eigenvector]]s. | * ''A'' is ''n''×''n'' and has ''n'' [[linear independence|linearly independent]] [[eigenvector]]s.[[Category:Suggestion Bot Tag]] | ||
Latest revision as of 16:01, 6 August 2024
In matrix algebra, a diagonal matrix is a square matrix for which only the entries on the main diagonal can be non-zero, and all the other, off-diagonal, entries are equal to zero.
The sum and product of diagonal matrices are again diagonal, and the diagonal matrices form a subring of the ring of square matrices: indeed for n×n matrices over a ring R this ring is isomorphic to the product ring Rn.
Examples
The zero matrix and the identity matrix are diagonal: they are the additive and multiplicative identity respectively of the ring.
Properties
The diagonal entries are the eigenvalues of a diagonal matrix.
The determinant of a diagonal matrix is the product of the diagonal elements.
A matrix over a field may be transformed into a diagonal matrix by a combination of row and column operations: this is the LDU decomposition.
Diagonalizable matrix
A diagonalizable matrix is a square matrix which is similar to a diagonal matrix: that is, A is diagonalizable if there exists an invertible matrix P such that is diagonal. The following conditions are equivalent:
- A is diagonalizable;
- The minimal polynomial of A has no repeated roots;
- A is n×n and has n linearly independent eigenvectors.