Completeness of eigenvectors of Hermitian Matrix.Eigenvectors of a normal matrixOrthonormalization of non-hermitian matrix eigenvectorsHermitian Matrix Unitarily DiagonalizableEigenvectors of non-singular matrixDiagonalizable Matrices vs Hermitian matricesHow can eigenvectors of a Hermitian matrix be entangled?Eigenvectors of Hermitian Toeplitz matrixDoes an n by n Hermitian matrix always has n independent eigenvectors?Eigenvectors of a Hermitian matrixOrthogonality of eigenvectors of a Hermitian matrix

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Completeness of eigenvectors of Hermitian Matrix.


Eigenvectors of a normal matrixOrthonormalization of non-hermitian matrix eigenvectorsHermitian Matrix Unitarily DiagonalizableEigenvectors of non-singular matrixDiagonalizable Matrices vs Hermitian matricesHow can eigenvectors of a Hermitian matrix be entangled?Eigenvectors of Hermitian Toeplitz matrixDoes an n by n Hermitian matrix always has n independent eigenvectors?Eigenvectors of a Hermitian matrixOrthogonality of eigenvectors of a Hermitian matrix













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How do you show that eigenvectors of a Hermitian matrix form a complete set of basis?










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    How do you show that eigenvectors of a Hermitian matrix form a complete set of basis?










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      How do you show that eigenvectors of a Hermitian matrix form a complete set of basis?










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      How do you show that eigenvectors of a Hermitian matrix form a complete set of basis?







      linear-algebra matrices eigenvalues-eigenvectors numerical-linear-algebra eigenfunctions






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      asked Jan 28 '14 at 13:34









      Saurabh Uday ShringarpureSaurabh Uday Shringarpure

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          In the same way how you do that for normal matrices.



          1. Use or prove the Schur decomposition: for any square matrix $AinmathbbC^ntimes n$, there is a unitary $Q$ and triangular $T$ such that $A=QTQ^*$. A simple but very strong result which can be shown quite simply by induction.


          2. Show that $A$ is Hermitian iff $T$ is Hermitian. A Hermitian triangular matrix is necessarily diagonal.


          3. The eigenvectors can be then found stuffed in the columns of $Q$.






          share|cite|improve this answer









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            1












            $begingroup$

            In the same way how you do that for normal matrices.



            1. Use or prove the Schur decomposition: for any square matrix $AinmathbbC^ntimes n$, there is a unitary $Q$ and triangular $T$ such that $A=QTQ^*$. A simple but very strong result which can be shown quite simply by induction.


            2. Show that $A$ is Hermitian iff $T$ is Hermitian. A Hermitian triangular matrix is necessarily diagonal.


            3. The eigenvectors can be then found stuffed in the columns of $Q$.






            share|cite|improve this answer









            $endgroup$

















              1












              $begingroup$

              In the same way how you do that for normal matrices.



              1. Use or prove the Schur decomposition: for any square matrix $AinmathbbC^ntimes n$, there is a unitary $Q$ and triangular $T$ such that $A=QTQ^*$. A simple but very strong result which can be shown quite simply by induction.


              2. Show that $A$ is Hermitian iff $T$ is Hermitian. A Hermitian triangular matrix is necessarily diagonal.


              3. The eigenvectors can be then found stuffed in the columns of $Q$.






              share|cite|improve this answer









              $endgroup$















                1












                1








                1





                $begingroup$

                In the same way how you do that for normal matrices.



                1. Use or prove the Schur decomposition: for any square matrix $AinmathbbC^ntimes n$, there is a unitary $Q$ and triangular $T$ such that $A=QTQ^*$. A simple but very strong result which can be shown quite simply by induction.


                2. Show that $A$ is Hermitian iff $T$ is Hermitian. A Hermitian triangular matrix is necessarily diagonal.


                3. The eigenvectors can be then found stuffed in the columns of $Q$.






                share|cite|improve this answer









                $endgroup$



                In the same way how you do that for normal matrices.



                1. Use or prove the Schur decomposition: for any square matrix $AinmathbbC^ntimes n$, there is a unitary $Q$ and triangular $T$ such that $A=QTQ^*$. A simple but very strong result which can be shown quite simply by induction.


                2. Show that $A$ is Hermitian iff $T$ is Hermitian. A Hermitian triangular matrix is necessarily diagonal.


                3. The eigenvectors can be then found stuffed in the columns of $Q$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Jan 28 '14 at 13:38









                Algebraic PavelAlgebraic Pavel

                16.5k31840




                16.5k31840



























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