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Probability kernel, conditional

As the particle traverses from one barrier to the next it changes its energy. The conditional probability kernel P(E E ) that the particle changes its energy from E to E is determined by the energy loss parameter 8 = pA and a quantum parameter a = The quantum kernel is as in Eq. 38. The main difference between the double and single well cases and the periodic potential arises in the steady state equation for the fluxes ... [Pg.23]

The energy gained (or lost) by the bath is also the energy lost (or gained) by the stable mode. Averaging over all initial conditions of the bath will thus lead to an explicit expression for the conditional probability kernel ... [Pg.649]

As a first step, we will assume that the two modes of the particle (q, z) are strongly coupled. As in the one-dimensional case, the important quantity which is needed for solution of the integral equation is the conditional probability kernel P(E E ). This kernel describes the probability that the particle will start at the barrier with some well-defined energy E in the system coordinates and momenta (all other degrees of freedom are thermalized), will go to the reactants zone and return to the barrier with energy E. Note that in the multidimensional case the energy of the particle, is defined as the energy in both modes. [Pg.653]

The initial conditions of the bath are taken from a canonical distribution (e The Hamiltonian equivalent is quadratic in the bath variables. Therefore the random components of the energy loss are Gaussian, with zero mean and their variance is just twice the systematic energy loss and the probability kernel is identical in form to the one-dimensional case. [Pg.654]

Under conditions I and II, the probability kernel, ( >suni=l. In the case of condition HI, suin=0. Thus, the sum kernel acts, only when all components are limiting-components simultaneously. [Pg.769]

To satisfy all of the four conditions at the same time, the exchange probability kernel must be a logical sum of the sum and product kernels. For species exchange problems, A generalized adsorption rate equation is therefore expressed as follows ... [Pg.769]

The revised candidate distribution a 0,0 ) x q 0,0 ) satisfies the reversibility condition so g 0 y) is the long-run distribution for the Markov chain having probability kernel... [Pg.130]

The reaction of the bisulfite ion with endosperm protein is completed in whole kernels in 6-10 hours.142,143 Both S02 and HS03 ions are capable of reducing disulfide bonds pH conditions inside the kernel probably determine which reaction predominates. The kernel pH of 3.6-4.0 reported by Wahl151 would favor HS03 as the reactant, but pH values can be closer to 4.0-4.5 in commercial steeps with a solubles level of 1-2% in the steep acid (unpublished data). [Pg.403]

A related quantity, the conditional probability density (also called the spectral diffusion kernel) P co, /jojo) is defined by... [Pg.149]

One can readily confirm that (14.1.12) leads to the following normalizing conditions on the probabilities in the kernel (14.1.4)... [Pg.118]

In his seminal article of 1916 Lewis remarked that the heavier elements in Groups 13 and 14 form a class in which the atomic kernel is probably not neither uniquely determined nor invariable during chemical change. By the time that Sidgwick published his book The Electronic Theory of Valency in 1927, our understanding of the electronic structure of atoms was much further advanced, and the distinction between s- and p-electrons had been drawn [67], We now realize that the first two electrons in any group [...] correspond to the pair of electrons [...] in helium, and can have a certain completeness of their own [...]. We might thus anticipate that under some conditions the first two valence electrons in an element could [...] refuse either to ionize, or to form covalencies, or both. Why this inertness [...] should appear precisely where it does in the periodic table, we cannot say. ... [Pg.50]


See other pages where Probability kernel, conditional is mentioned: [Pg.648]    [Pg.649]    [Pg.661]    [Pg.15]    [Pg.7]    [Pg.208]    [Pg.138]    [Pg.403]    [Pg.432]    [Pg.208]    [Pg.174]    [Pg.272]    [Pg.201]    [Pg.317]    [Pg.286]    [Pg.844]    [Pg.565]    [Pg.38]    [Pg.40]    [Pg.364]    [Pg.129]    [Pg.247]    [Pg.984]    [Pg.2973]    [Pg.120]    [Pg.221]    [Pg.103]   
See also in sourсe #XX -- [ Pg.648 ]




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Conditional probability

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