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Matrix models population density

This solution can be obtained explicitly either by matrix diagonalization or by other techniques (see chapter A3.4 and [42, 43]). In many cases the discrete quantum level labels in equation (A3.13.24) can be replaced by a continuous energy variable and the populations by a population density p(E), with replacement of the sum by appropriate integrals [Hj. This approach can be made the starting point of usefiil analytical solutions for certain simple model systems [H, 19, 44, 45 and 46]. [Pg.1051]

Matrix models have a long history in ecology (Chapter 5). They are easy to use and understand and provide a means to project the population-level consequences of effects at the individual level. They cannot represent spatial effects. Including sto-chasticity and density dependence is possible but makes their use more complicated. [Pg.32]

The elements of the matrix can be made dependent on population density or the environment, but then there is no longer a simple solution via eigenvalues. Instead, Equation 3.1 has to be iterated on computers and resembles simple individual-based models (IBMs see next section). [Pg.49]

The simple matrix model depicted earlier is an example of a deterministic matrix model. Deterministic matrix models have no measure of randomness (stochastic-ity), assume constant demographic parameters, and ignore density dependence. Moreover, estimated growth rate and stable stage or age structure refer to an exponentially increasing (or decreasing) population. [Pg.65]

Figure 15. Average number of random walkers generated for a single iteration as obtained for Model IVa [205], The full and short dashed lines correspond to the upper and lower electronic populations, respectively, while the long dashed line corresponds to the sum of the coherences of the electronic density matrix. Figure 15. Average number of random walkers generated for a single iteration as obtained for Model IVa [205], The full and short dashed lines correspond to the upper and lower electronic populations, respectively, while the long dashed line corresponds to the sum of the coherences of the electronic density matrix.
The vector model is a way of visualizing the NMR phenomenon that includes some of the requirements of quantum mechanics while retaining a simple visual model. We will jump back and forth between a classical spinning top model and a quantum energy diagram with populations (filled and open circles) whenever it is convenient. The vector model explains many simple NMR experiments, but to understand more complex phenomena one must use the product operator (Chapter 7) or density matrix (Chapter 10) formalism. We will see how these more abstract and mathematical models grow naturally from a solid understanding of the vector model. [Pg.168]

If we use single determinant (38) in Eq. (34) we get the wrong answer because it has equal population of spin up and spin down, just as does 1,0>. This inconsistency is never a practical problem, at least for simple systems. The lack of invariance under rotations in spin space does, however, distinguish Xa-like models from HF (Fukutome, 1981), or to be more descriptive what Sykja and Calais (1982) call generalized Hartree-Fock (GHF). Any first-order density matrix can be decomposed into four mathematically equivalent pieces... [Pg.303]

The correlation functions in Eq. (5) are then expanded in the usual way2 in terms of spectral densities (see Section 3 for further details). As Eq. (5) shows, the relaxation operator involves products of Hamiltonian matrix elements and thus has the effect of redistributing coherence between the various matrix elements or coherences/populations of the density matrix through its involvement in Eq. (2). Kristensen and Farnan40 use their formalism to calculate the central transition lineshapes for lvO (/= 5/2) for both fully relaxed and partially relaxed conditions under different motional models. Some examples are shown in Fig. 27. [Pg.80]

It is neither feasible nor illustrative to detail a general solution of the self-consistency equations. The five input parameters in the crystal field model, Dq, Cso, F(h F2, and F4, determine the five independent density matrix elements when the choice of chemical potential /( and the relative population of the molecular... [Pg.47]

The electron transfer model presented here recalls the process of charge transport in semiconductors that is, a conduction band is populated by a thermalized electron, which then moves freely through the semiconductor via wavelike k states. While the possibility of semiconductorlike electron transfer in biological systems was first raised many years ago by DeVault and Chance [93], it has never been found experimentally in fact, there was reasonable skepticism that nature would choose such a mechanism in natural biological systems [84]. The density matrix method allows one to construct a model in which the conditions for such a process can be clarified and investigated in a detailed way. [Pg.110]


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