0

Guest

Courses New

Hermitian Matrix

Hermitian Matrix

Grade:

2 Answers

Komal
askIITians Faculty 747 Points
8 years ago
In mathematics, aHermitian matrix(orself-adjoint matrix) is asquare matrixwithcomplexentries that is equal to its ownconjugate transpose—that is, the element in thei-th row andj-th column is equal to thecomplex conjugateof the element in thej-th row andi-th column, for all indicesiandj:

[a_{ij} = \overline{a_{ji}}] or [A = \overline {A^\text{T}}] , in matrix form.

Hermitian matrices can be understood as the complex extension of realsymmetric matrices.

If the conjugate transpose of a matrix [A] is denoted by [A^\dagger] , then the Hermitian property can be written concisely as

[A = A^\dagger.]

Hermitian matrices are named afterCharles Hermite, who demonstrated in 1855 that matrices of this form share a property with real symmetric matrices of always having realeigenvalues.
sajid
615 Points
8 years ago
In mathematics, aHermitian matrix(orself-adjoint matrix) is asquare matrixwithcomplexentries that is equal to its ownconjugate transpose—that is, the element in thei-th row andj-th column is equal to thecomplex conjugateof the element in thej-th row andi-th columnHermitian matrices are named afterCharles Hermite, who demonstrated in 1855 that matrices of this form share a property with real symmetric matrices of always having realeigenvalues

Think You Can Provide A Better Answer ?

Other Related Questions on Engineering Entrance Exams

View all Questions »

ASK QUESTION

Get your questions answered by the expert for free

Answer and earn gift vouchers

Win Gift vouchers upto Rs 500/-

View courses by askIITians

Design classes One-on-One in your own way with Top IITians/Medical Professionals

Click Here Know More

Complete Self Study Package designed by Industry Leading Experts

Click Here Know More

Live 1-1 coding classes to unleash the Creator in your Child

Click Here Know More

a Complete All-in-One Study package Fully Loaded inside a Tablet!

Click Here Know More