Some Mathematical Methods of Physics |
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Any matrix H which satisfies the condition H H + is called a Hermitian matrix . Clearly , Hermitian matrices are normal matrices . Furthermore , any real symmetric matrix is a normal matrix , since such a matrix can be considered as a ...
Any matrix H which satisfies the condition H H + is called a Hermitian matrix . Clearly , Hermitian matrices are normal matrices . Furthermore , any real symmetric matrix is a normal matrix , since such a matrix can be considered as a ...
Página 70
A linear operator which satisfies the condition H = H + is called a Hermitian operator . Theorem a . The eigenvalues of a Hermitian operator are 70 SYSTEMS WITH A FINITE NUMBER OF DEGREES OF FREEDOM Eigenvectors and Eigenvalues The ...
A linear operator which satisfies the condition H = H + is called a Hermitian operator . Theorem a . The eigenvalues of a Hermitian operator are 70 SYSTEMS WITH A FINITE NUMBER OF DEGREES OF FREEDOM Eigenvectors and Eigenvalues The ...
Página 80
... introduced in the difference equations , is often more convenient than using an explicit matrix M. If M is Hermitian , unitary , or normal , the corresponding D ( with boundary conditions ) is also Hermitian , unitary , or normal .
... introduced in the difference equations , is often more convenient than using an explicit matrix M. If M is Hermitian , unitary , or normal , the corresponding D ( with boundary conditions ) is also Hermitian , unitary , or normal .
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Contenido
Solution for Diagonalizable Matrices | 21 |
The Evaluation of a Function of a Matrix for an Arbitrary Matrix | 38 |
13 | 44 |
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applied approaches approximate arbitrary basis becomes Bessel boundary conditions called chap chapter Clearly coefficients column complete consider constant continuous contour coordinates corresponding defined definition demonstrated denoted derived determinant difference differential equation direction discussed eigencolumn eigenfunctions eigenvalue element equal equation evaluate example exists expansion expression finite follows Fourier function given Green's function Hence independent infinite integral introduce known limit linear lowest matrix method multiplication normalized notation Note obtained operator orthonormality path Physics plane positive problem procedure reduces relations replaced representation represented result satisfies scattering solution solve space string Substitution Suppose theorem transformation unique vanish variable vector verified wave write written yields York zero ду