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Energy lower bounds

E. Additional Properties of Matrix Representations E. Energy Lower Bounds Semidefinite Programming... [Pg.61]

The former yield upper bounds to the eigenvalues through the solution of secular equations It is possible to obtain lower bounds from variational solutions by additional computation and additional information in Temple s method the expectation value of vtz and the first excited eigenvalue are needed in order to compute a lower bound to the ground state energy. Lower bounds from variational methods can be constructed by the technique of intermediate problems, involving... [Pg.57]

As regards the ground state of a given symmetry, the fundamental theoretical tool is the existence of the energy lower bound. This fact allows Rayleigh-Ritz variational calculations to converge monotonically upon variation of the size of the basis set and/or of linear or nonlinear variational parameters. [Pg.369]

We next show in Table 2 the H-square error and the energy lower bound calculated by the modified Temple equation. As the order n of the FC wave function increases, the H-square error gradually decreases and converges towards zero, the exact value. It is as small as 1.29 x 10 at n = 27. When the H-square error becomes zero, it means that the wave function becomes exact. So, this table means that, as the order n increases, the FC wave function approaches the exact wave... [Pg.56]

Order, n K H-square error, a Energy lower bound ... [Pg.57]

As the order n of the FC wave function increases, the accuracy of the energy lower bound also increases. It approaches the exact value from below. This is in contrast to the variational energy shown in Table 1, which approaches the exact value from above. Using these lower and upper bounds to the exact energy, we can confidently predict that the exact energy should lie between the two bound energies, that is,... [Pg.57]

The problems left open or even suggested by some of the theorems we have proven are virtually uncountable. Here we just quickly attack the problem of the gap in (6.8) (Theorem 6.1) and the question of going beyond the free energy lower bound in Section 5.2. [Pg.188]

The reference free energy in this case is an upper bound for tlie free energy of the electrolyte. A lower bound for the free energy difference A A between the charged and uncharged RPM system was derived by Onsager... [Pg.511]

If available molecular weight combinations do not lead to observable phase-diagram boundaries of either the UCST or LCST type, then the interaction energy can only be estimated to He within upper and lower bounds using this technique (93). [Pg.411]

The problem of finding conformations of the molecule that satisfy the experimental data is then that of finding conformations that minimize a hybrid energy function i,ybiM, which contains different contributions from experimental data and the force field (see below). These contributions need to be properly weighted with respect to each other. However, if the chosen experimental upper and lower bounds are wide enough to avoid any geometrical inconsistencies between the force field and the data, this relative weight does not play a predominant role. [Pg.257]

The variational energy principles of classical elasticity theory are used in Section 3.3.2 to determine upper and lower bounds on lamina moduli. However, that approach generally leads to bounds that might not be sufficiently close for practical use. In Section 3.3.3, all the principles of elasticity theory are invoked to determine the lamina moduli. Because of the resulting complexity of the problem, many advanced analytical techniques and numerical solution procedures are necessary to obtain solutions. However, the assumptions made in such analyses regarding the interaction between the fibers and the matrix are not entirely realistic. An interesting approach to more realistic fiber-matrix interaction, the contiguity approach, is examined in Section 3.3.4. The widely used Halpin-Tsai equations are displayed and discussed in Section 3.3.5. [Pg.137]

The basis for the determination of a lower bound on the apparent Young s modulus is application of the principle of minimum complementary energy which can be stated as Let the tractions (forces and mo-... [Pg.138]

In other words, the energy of the exact wavefunction serves as a lower bound to the energies calculated by any other normalized antisymmetric function. Thus, the problem becomes one of finding the set of coefficients that minimize the energy of the resultant wavefunction. [Pg.262]

The variation principle then says that the energy E0 of the ground state is the lower bound of the quantity Eq. II.6 for arbitrary normalized trial wave functions W and that further all eigenfunctions satisfy the relation... [Pg.213]

Let us now turn our interest to the excited states. The energies Ev E2,. .. of these levels are given by the higher roots to the secular equation (Eq. III.21) based on a complete set, and one can, of course, expect to get at least approximate energy values by means of a truncated set. In order to derive upper and lower bounds for the eigenvalues, we will consider the operator... [Pg.264]

Wilets, L., and Cherry, I. J., Phys. Rev. 103, 112, Lower bound to the ground state energy and mass polarization in helium-like atoms. ... [Pg.350]

Because we only have a lower bound on the binding free energy of inactive compounds, we expect ... [Pg.336]

In combination with (5.6), this leads to an upper and lower bound for the free energy difference... [Pg.180]

Reinhardt, W. P. Hunter III, J. E., Variational path optimization and upper and lower bounds for the free energy via finite time minimization of the external work, J. Chem. Phys. 1992, 97, 1599-1601... [Pg.196]

The mean value of the interaction potential energy should provide some guidance on the value of the first of the terms on the right it helps that those interaction energies will have a lower bound. The second term then primarily addresses entropic contributions to jLt x that integral accumulates the weight of the favorable configurations, well-bound to the solute, that the solvent host offers the solute without coercion. [Pg.331]

Process simulators contain the model of the process and thus contain the bulk of the constraints in an optimization problem. The equality constraints ( hard constraints ) include all the mathematical relations that constitute the material and energy balances, the rate equations, the phase relations, the controls, connecting variables, and methods of computing the physical properties used in any of the relations in the model. The inequality constraints ( soft constraints ) include material flow limits maximum heat exchanger areas pressure, temperature, and concentration upper and lower bounds environmental stipulations vessel hold-ups safety constraints and so on. A module is a model of an individual element in a flowsheet (e.g., a reactor) that can be coded, analyzed, debugged, and interpreted by itself. Examine Figure 15.3a and b. [Pg.518]


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