Some Mathematical Methods of PhysicsMcGraw-Hill, 1960 - 300 páginas |
Dentro del libro
Resultados 1-3 de 9
Página 52
... vector r = xi + yj + zk ( 4.3 ) where i , j , k are , respectively , unit vectors along the X , Y , and Z axes . These unit vectors are called base vectors . They define the coordinate system , or basis , in which x , y , z are the ...
... vector r = xi + yj + zk ( 4.3 ) where i , j , k are , respectively , unit vectors along the X , Y , and Z axes . These unit vectors are called base vectors . They define the coordinate system , or basis , in which x , y , z are the ...
Página 53
... vectors in an n - dimensional vector space . Any vector x may be written as2 X = n Συχ i = 1 ( 4.6 ) The set of vectors u , is said to form a basis . The x , are the components of the vector x in this basis . For convenience , this basis ...
... vectors in an n - dimensional vector space . Any vector x may be written as2 X = n Συχ i = 1 ( 4.6 ) The set of vectors u , is said to form a basis . The x , are the components of the vector x in this basis . For convenience , this basis ...
Página 67
... base vectors u , are denoted by li > and are called base ket vectors , or simply base kets . The base vectors in the dual space , ut , are called base bra vectors , or base bras , and are denoted by < i ] , the mirror image of the symbol ...
... base vectors u , are denoted by li > and are called base ket vectors , or simply base kets . The base vectors in the dual space , ut , are called base bra vectors , or base bras , and are denoted by < i ] , the mirror image of the symbol ...
Contenido
Perturbation of Eigenvalues | 14 |
The Laplacian v2 in One Dimension | 18 |
Solution for Diagonalizable Matrices | 21 |
Derechos de autor | |
Otras 19 secciones no mostradas
Otras ediciones - Ver todas
Términos y frases comunes
approximate arbitrary ax² basis Bessel function boundary conditions chap coefficients column consider constant continuous systems contour coordinates corresponding cylindrical functions d²/dx² defined denoted determinant diagonal differential equation Dirac notation domain eigen eigencolumns eigenfunctions eigenvalue equation eigenvector eikr evaluate expansion finite number follows Fourier given Green's function Hence Hermitian Hermitian matrix Hermitian operator infinite integral inverse Laplace transform Laplacian linear operator linearly independent lowest eigenvalue matrix membrane method multiplication nonsingular normal obtained orthonormality conditions plane problem procedure relations representation result satisfies the boundary scattering sinh solve spherical spherical harmonics string Substitution theorem trial functions vanish variable vector space Verify wave write written y₁ yields York zero ηπχ πο ποχ ди ду дх