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Parameter Renormalization

We shall first give a crude argument that reveals that AH s) consists of a sum of [Pg.17]

n-particle operators where n is the total number of electrons in the complex. This already implies that the ligand-field model neglects some terms in the Hamiltonian since the non-zero matrix elements of Eq. (1-5) can only involve states that differ in no more than two spin-orbitals whereas AH(e) has more general matrix elements. The primitive parameterization (Sect. 4) is based on the identification of ligand field parameters with matrix elements of the one- and two-electron operators in the true Hamiltonian H between one-electron spin-orbitals these parameters may then make contributions to the many-electron matrix elements u H u ), Eq. (4-6). Renormalization of the primitive parameters is possible to the extent that we can identify orbital matrix elements in (MI AH(e) IM ) which occur in the same way as in (), for then the two quantities can simply be summed and handled as a single, renormalized parameter. [Pg.17]

The most general n-electron wavefunction Oy can be written as a linear combination of the [Pg.17]

The set of functions, (3-1) which has some definite fixed value of Nn=Nj thus defines a subspace, say of the n-electron function space, and if we define the complementary subspace (see 2-1 b) through a set of orthogonal functions A, such that. [Pg.17]

In view of Eq. (4-2) we can take y = dyt without loss of generality. Since the functions are constructed as antisymmetrized products of states for the d-electron manifold and the ground state wave function, Plo, for the L subset of electrons, there are functions in the set A, describing all the excited states of the L electrons, i.e. we can write these functions as antisymmetrized products of the Pm , and Wtr discussed in Sect. 3 and 4 with / 0. The remaining functions in the set A, describe all partitions between the d- [Pg.17]


This chapter presents a general theoretical framework for the stndy of polymer solutions in which polymers are associated with each other by strongly attractive forces, such as hydrogen bonding and hydrophobic interaction. The Flory-Huggins free energy is combined with the free energy of association (reversible reaction) to study the mutual interference between phase separation and molecular association. The effective interaction parameters renormalized by the specific interactions are derived as functions of the polymer concentration. [Pg.160]

The development of new molecular closure schemes was guided by analysis of the nature of the failure of the MSA closure. In particular, the analytic predictions derived by Schweizer and Curro for the renormalized chi parameter and critical temperature of a binary symmetric blend of linear polymeric fractals of mass fractal dimension embedded in a spatial dimension D are especially revealing. The key aspect of the mass fractal model is the scaling relation or growth law between polymer size and degree of polymerization Ny cr. The non-mean-field scaling, or chi-parameter renormalization, was shown to be directly correlated with the average number of close contacts between a pair of polymer fractals in D space dimensions N /R if the polymer and/or... [Pg.70]

A more accurate analysis of this problem incorporating renormalization results, is possible [86], but the essential result is the same, namely that stretched, tethered chains interact less strongly with one another than the same chains in bulk. The appropriate comparison is with a bulk-like system of chains in a brush confined by an impenetrable wall a distance RF (the Flory radius of gyration) from the tethering surface. These confined chains, which are incapable of stretching, assume configurations similar to those of free chains. However, the volume fraction here is q> = N(a/d)2 RF N2/5(a/d)5/3, as opposed to cp = N(a/d)2 L (a/d)4/3 in the unconfined, tethered layer. Consequently, the chain-chain interaction parameter becomes x ab N3/2(a/d)5/2 %ab- Thus, tethered chains tend to mix, or at least resist phase separation, more readily than their bulk counterparts because chain stretching lowers the effective concentration within the layer. The effective interaction parameters can be used in further analysis of phase separation processes... [Pg.54]

Considering such choices for the parameters ay and using the explicit form of Gq1(x — x +y) in the 4-dimensional space-time (corresponding to N = 3), we obtain the renormalized o-dependenl, energy-momentum tensor in the general case, for both Maxwell and Dirac fields ... [Pg.224]

Coarse-grained molecular d5mamics simulations in the presence of solvent provide insights into the effect of dispersion medium on microstructural properties of the catalyst layer. To explore the interaction of Nation and solvent in the catalyst ink mixture, simulations were performed in the presence of carbon/Pt particles, water, implicit polar solvent (with different dielectric constant e), and ionomer. Malek et al. developed the computational approach based on CGMD simulations in two steps. In the first step, groups of atoms of the distinct components were replaced by spherical beads with predefined subnanoscopic length scale. In the second step, parameters of renormalized interaction energies between the distinct beads were specified. [Pg.409]

There are four parameters which must be fixed to use the MLE algorithm Embedding dimension, de, maximum scale, Sm, minimum scale, Sm and evolution time, O. Basically, de is the attractor dimension where the orbits were embedded, Sm is the estimate value of the length scale on which the local structure of the attractor is not longer being proved. Sm is the length scale in which noise is expected to appear. O is fixed for compute of divergence measurements which is the necessary time to renormalize the distances between trajectories (for more details see [50]). [Pg.311]

To solve the full problem of finding an approximate ground state to Hamiltonian (13), one is faced to a self-consistent loop which can be proceeded in two steps. First one can get the occupations nia)o from a HWF, and a set of bare levels. Then one obtains a set of configuration parameters, the probabilities of double occupation, di by minimizing (18) with respect to these probabilities. Afterwards the on-site levels are renormalized according to (21) and the next loop starts again for the new effective Hamiltonian He// till convergence is achieved. [Pg.516]

The parameter X has been embedded in the definition of Hp. The wave function from perturbation theory [equation (A.109)] is not normalized and must be renormalized. The energy of a truncated perturbation expansion [equation (A.110)] is not variational, and it may be possible to calculate energies lower than experimental. ... [Pg.244]


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Renormalization

Renormalized parameters

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