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Matrix self-adjoint

The described method can generate a first-order backward or a first-order forward difference scheme depending whether 0 = 0 or 0 = 1 is used. For 9 = 0.5, the method yields a second order accurate central difference scheme, however, other considerations such as the stability of numerical calculations should be taken into account. Stability analysis for this class of time stepping methods can only be carried out for simple cases where the coefficient matrix in Equation (2.106) is symmetric and positive-definite (i.e. self-adjoint problems Zienkiewicz and Taylor, 1994). Obviously, this will not be the case in most types of engineering flow problems. In practice, therefore, selection of appropriate values of 6 and time increment At is usually based on trial and error. Factors such as the nature of non-linearity of physical parameters and the type of elements used in the spatial discretization usually influence the selection of the values of 0 and At in a problem. [Pg.66]

Difference equations with a symmetric matrix are typical in numerical solution of boundary-value problems associated with self-adjoint differential equations of second order. In what follows we will show that the condition Bi = is necessary and sufficient for the operator [yj] be self-adjoint. As can readily be observed, any difference equation of the form... [Pg.21]

The matrix of a self-adjoint operator in any orthonormal basis is a symmetric matrix. [Pg.49]

As far as a non-self-adjoint operator B is concerned, the workable procedure g reduces to inversion of a lower triangle matrix. ... [Pg.678]

A square matrix A is hermitian or self-adjoint if it is equal to its adjoint, i.e., if A = A or ay = a -. Thus, the diagonal elements of a hermitian matrix are real. [Pg.336]

A normal matrix is one that commutes with its adjoint, AA = A A. Normal matrices include diagonal, real symmetric, orthogonal, unitary, Hermitian (self-adjoint), permutation, and pseudo-permutation matrices. [Pg.419]

Therefore, the eigenvalues of a Hermitian matrix are real, and the eigenvalues of a skew-Hermitian matrix are pure imaginary. Now consider the eigenvectors x) and x ) belonging to two different eigenvalues a, a of a self-adjoint matrix A. [Pg.421]

We will start by setting up a simple 2x2 matrix that (without interaction) displays perfect symmetry between the particle and its antiparticle image. Note that it is well known that the Klein-Gordon and the Dirac equation can be written formally as a standard self-adjoint secular problem (see e.g. [11,12]), based on the simple Hamiltonian matrix (in mass units)... [Pg.117]

If one starts the iterative SCF-procedure from a self-adjoint operator p, the properties (3.50) and (3.49) are going to be invariant under the iterations and are going to characterize the final solution. Since Teff is self-adjoint, the classical canonical matrix t is always on diagonal form. We note that, in this case,... [Pg.209]

A density matrix or density operator is defined as a self-adjoint matrix (operator) having positive eigenvalues and trace 1. This implies, of course, certain restrictions on the entries d, ...,d in Eq. (14). Here the term operator has essentially the same meaning as matrix, but is appropriate also in the case of infinite-dimensional vector spaces. [Pg.105]

In linear response theory, it is assumed that a time dependent external force F t) couples to an observable A (self-adjoint operator) and the response of the system to linear order in the external force is computed. More specifically, the Hamiltonian in the presence of the external force is Hit) = H — AF t), and the evolution equation for the density matrix is... [Pg.524]

In order to write S2E as a quadratic form involving a self-adjoint matrix we introduce the 2N x 2N matrix... [Pg.240]

It follows from the definition (4.16) that, for any real value of the parameter a, the operator t is self-adjoint and the matrix (4,32) is hermitean. It is evident that the matrix < ] 11 f> > in (4.32) for z = E in some way must be similar and sometimes identical to the Bloch matrix IH I <( p>, which is easily verified by considering the power series expansions in V. It is then also clear that, as an alternative to the nonlinear Schrodinger equation H0 = 0H0, one may use multi-dimensional partitioning technique, which treats the eigenvalue problem firom a rather different point of view. It is also applicable to the case when -instead of an exact degeneracy of order p - one has p close-lying unperturbed reference states It should also be remembered that,... [Pg.429]

In direct analogy to the nonrelativistic theory of the spin, the self-adjoint matrix... [Pg.45]

According to the basic principles of quantum mechanics, every physical observable Y within the Dirac theory is described by a self-adjoint (4 x 4)-matrix operator, which can always conveniently be written as... [Pg.657]

In standard QM, the reversibility in time is a manifestation of a Hermifian (self-adjoint) system with stationary states and is reflected in the unitarity of the S-matrix. Unitarity entails the inclusion of the contribution of fime-reversed states. In other words, for a stationary state, invariance under time-reversal implies that if is a stationary wavefunction, then so is A major tool for deriving results in the framework of a Hermitian formalism, explicitly or implicitly, is the resolution of the identity operator, I, on the real axis, which is a Hermitian projection operator. [Pg.196]


See other pages where Matrix self-adjoint is mentioned: [Pg.542]    [Pg.66]    [Pg.90]    [Pg.621]    [Pg.677]    [Pg.260]    [Pg.629]    [Pg.90]    [Pg.621]    [Pg.677]    [Pg.124]    [Pg.102]    [Pg.66]    [Pg.81]    [Pg.504]    [Pg.240]    [Pg.240]    [Pg.286]    [Pg.65]    [Pg.66]    [Pg.112]    [Pg.641]    [Pg.697]    [Pg.73]    [Pg.94]   
See also in sourсe #XX -- [ Pg.320 ]

See also in sourсe #XX -- [ Pg.320 ]




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