Some Mathematical Methods of PhysicsCourier Corporation, 2014 M03 5 - 320 páginas This well-rounded, thorough treatment for advanced undergraduates and graduate students introduces basic concepts of mathematical physics involved in the study of linear systems. The text emphasizes eigenvalues, eigenfunctions, and Green's functions. Prerequisites include differential equations and a first course in theoretical physics. The three-part presentation begins with an exploration of systems with a finite number of degrees of freedom (described by matrices). In part two, the concepts developed for discrete systems in previous chapters are extended to continuous systems. New concepts useful in the treatment of continuous systems are also introduced. The final part examines approximation methods — including perturbation theory, variational methods, and numerical methods — relevant to addressing most of the problems of nature that confront applied physicists. Two Appendixes include background and supplementary material. 1960 edition. |
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Página 4
... consider a mass on a spring. If m denotes the magnitude of the mass, k the spring constant of the spring, and x the displacement of the mass from its equilibrium position, the equation of motion of the system may be written as mjc' + kx ...
... consider a mass on a spring. If m denotes the magnitude of the mass, k the spring constant of the spring, and x the displacement of the mass from its equilibrium position, the equation of motion of the system may be written as mjc' + kx ...
Página 12
... consider the result it gives for the product of a l X n matrix (row) 2 with an n X 1- matrix (column) x. The result is a 1 X 1 matrix zx given by 2x = Zzixi (1.37) i=1 In words the prescription becomes: To multiply the row 2 into the ...
... consider the result it gives for the product of a l X n matrix (row) 2 with an n X 1- matrix (column) x. The result is a 1 X 1 matrix zx given by 2x = Zzixi (1.37) i=1 In words the prescription becomes: To multiply the row 2 into the ...
Página 13
... consider functions of matrices,1 power series involving matrices, and similar relations than it would if special notations were used when handling matrices. Before reaping this benefit from the notation, it is best to consider some of ...
... consider functions of matrices,1 power series involving matrices, and similar relations than it would if special notations were used when handling matrices. Before reaping this benefit from the notation, it is best to consider some of ...
Página 17
... consider the equation mx : y (1.46) For nonsingular m, a solution x exists for all y. For singular m, clearly a solution x exists for some y—i.e., for those y which may be written as a linear superposition of the columns of m y _—_= 2 m ...
... consider the equation mx : y (1.46) For nonsingular m, a solution x exists for all y. For singular m, clearly a solution x exists for some y—i.e., for those y which may be written as a linear superposition of the columns of m y _—_= 2 m ...
Página 23
... application to a simple illustration. As an example, consider A=<; i) use) Then, as the reader will wish to verify, A<1>=~+g><1> so that, following (2.10), one may write 1 S_1=(l) 11,:(1'1'3) SOLUTION FOR DIAGONALIZABLE MATRICES.
... application to a simple illustration. As an example, consider A=<; i) use) Then, as the reader will wish to verify, A<1>=~+g><1> so that, following (2.10), one may write 1 S_1=(l) 11,:(1'1'3) SOLUTION FOR DIAGONALIZABLE MATRICES.
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applied approximate arbitrary base vectors basis Bessel function boundary conditions Chap chapter coefficients column commute complete consider constant continuous systems contour corresponding cylindrical functions defined definition denoted determinant diagonal diagonalizable differential equation Dirac notation domain eigen eigencolumns eigenfunctions eigenvalue equation eigenvector elements evaluate expansion find finite number first follows formula Fourier given Green’s function Hence Hermitian matrix Hermitian operator infinite integral Introduction inverse Laplacian linear operator linearly independent lowest eigenvalue matrix McGraw-Hill Book Company membrane method multiplication nonsingular normal normal matrix Note number of degrees obtained orthonormality conditions perturbation plane procedure QUANTUM MECHANICS relations representation result Ritz method satisfies satisfy scattering solve specified spherical spherical harmonics string Substitution theorem theory tion trial functions vanish variable vector space verified wave write written yields York zero