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Eigenvalue/eigenvector problem generalized matrix

In order to find extrema of E( ui ), subject to the normalization condition, standard moves known as the Lagrange multipliers method are applied, which readily lead us to the well-known form of the generalized matrix eigenvalue/eigenvector problem ... [Pg.18]

In the general case, the set of Equation 51.6 is solved by differential methods. If a step of reactant adsorption is irreversible, then the equations that describe the changes in isotope transfer in the gas phase are solved analytically. Further solution of the primal problem is based on the numerical search of eigenvalues and eigenvectors of the matrix at the right side of the equations describing changes of isotope fraction in the intermediate substances. In this case, the procedure of numerical analysis is performed much faster. [Pg.1236]

In the column-problem we compute the matrix of generalized column-eigenvectors B and the diagonal matrix of eigenvalues from ... [Pg.186]

Molecules, in general, have some nontrivial symmetry which simplifies mathematical analysis of the vibrational spectrum. Even when this is not the case, the number of atoms is often sufficiently small that brute force numerical solution using a digital computer provides the information wanted. Of course, crystals have translational symmetry between unit cells, and other elements of symmetry within a unit cell. For such a periodic structure the Hamiltonian matrix has a recurrent pattern, so the problem of calculating its eigenvectors and eigenvalues can be reduced to one associated with a much smaller matrix (i.e. much smaller than 3N X 3N where N is the number of atoms in the crystal). [Pg.137]

The principal strain rates are eigenvalues of the strain-rate tensor (matrix). As described more fully in Section A.21, the direction cosines that describe the orientation of the principal strain rates are the eigenvectors associated with the eigenvalues. In solving practical fluids problems, there is rarely a need to determine the principal strain rates or their orientations. Rather, these notions are used theoretically with the Stokes postulates to form general relationships between the strain-rate and stress tensors. It is perhaps worth noting that in solid mechanics, the principal stresses and strains have practical utility in understanding the behavior of materials and structures. [Pg.37]

This is not so for the matrix eigenvalue problem the eigenvalues (and eigenvectors) of real matrices n generally can only be found in the complex plane C (and in C"). The... [Pg.541]

The expansion column matrix A from Eq. (26) is the eigenvector of U(s), and the elements Snm of the overlap matrix S are given in Eq. (19). The obtained expression (26) is not an ordinary but a generalized eigenvalue problem involving the overlap matrix S due to the mentioned lack of orthogonality... [Pg.155]

TABLE L Cost for each eigenvector component of the generalized eigenvalue problem as obtained with the STLM package. Matrix di nsions from 300 to 4005. [Pg.219]

As the outcome, a list of eigenvalues A and the modal matrix H with the pairwise conjugate complex eigenvectors of the general problem is obtained. Due to the normahzation of the eigenvectors, the solution has to be matched to the initial conditions. This is done when the overall solution is assembled and for this purpose the vector h is provided. The homogeneous solution thus takes the following form ... [Pg.167]

For a fixed value of the multiplier //., these equations have the form of a generalized eigenvalue problem with eigenvector and eigenvalue v. To bring out more clearly the eigensystem structure, we introduce the parameter a and the matrix T(ot) given by... [Pg.95]


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Eigenvalue

Eigenvalue generalized

Eigenvalue problems eigenvalues

Eigenvalue/eigenvector problem

Eigenvector

Eigenvector generalized

Generalities, problems

Generalization problem

Generalized eigenvalue problem

Generalized matrix eigenvalue problem

Matrices eigenvalues/eigenvectors

Matrix eigenvalues

Matrix eigenvector

Matrix eigenvectors

Matrix, general

Matrix, generally

Problem eigenvalue

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