Difference between revisions of "Hermitian matrix"

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(→‎Properties of Hermitian matrices: clean up & uniformity)
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==Properties of Hermitian matrices==
 
==Properties of Hermitian matrices==
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* The [[eigenvalue|eigenvalues]] are all real.
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* The [[eigenvalue]]s are all real.
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* The [[eigenvector|eigenvectors]] corresponding to different eigenvalues are orthogonal.
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* The [[eigenvector]]s corresponding to different eigenvalues are orthogonal.
  
 
Because of these properties, Hermitian matrices have important applications in [[quantum mechanics]].
 
Because of these properties, Hermitian matrices have important applications in [[quantum mechanics]].
 
[[Category:Linear algebra]]
 
[[Category:Linear algebra]]

Revision as of 13:55, July 13, 2016

A Hermitian matrix is one that satisfies , where is the Hermitian conjugate of (i.e., the matrix formed by transposing and taking the complex conjugate of each element). As an example, the most general 2x2 Hermitian matrix has the form

for arbitrary complex numbers . In the case where all elements of the matrix are real, a Hermitian matrix becomes symmetric (as Hermitian conjugation then becomes equivalent to transposition).

Properties of Hermitian matrices

Because of these properties, Hermitian matrices have important applications in quantum mechanics.