1992
DOI: 10.1063/1.462689
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Reversible and irreversible formulation of unimolecular reactions

Abstract: A comparison is made between the reversible and irreversible formulations for a series of model isomerization reactions, and the conditions under which the differences are important are demonstrated.reactant R of {d o,d ; , ... ,d ;.,}; many of the d;, d; of low index will be zero, corresponding to nonreactive states below threshold; also, (m + n + 2) = (N + 1), the total number of reactant and product states combined. We have 5908

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Cited by 15 publications
(16 citation statements)
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“…This is an important difference between the master equation, eqn (2), and the phenomenological description of the chemical kinetics, eqn (12). This point has been made several times in the past, 1,[17][18][19][20] but it cannot be overemphasized. Most importantly, general proofs of detailed balance for Hamiltonian systems, such as those given by van Kampen and Wigner, 21,22 do not apply to eqn (12), because these proofs require that the transition probabilities in the ME be flux coefficients.…”
Section: Some Properties Of the Rate Constant Matrixmentioning
confidence: 99%
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“…This is an important difference between the master equation, eqn (2), and the phenomenological description of the chemical kinetics, eqn (12). This point has been made several times in the past, 1,[17][18][19][20] but it cannot be overemphasized. Most importantly, general proofs of detailed balance for Hamiltonian systems, such as those given by van Kampen and Wigner, 21,22 do not apply to eqn (12), because these proofs require that the transition probabilities in the ME be flux coefficients.…”
Section: Some Properties Of the Rate Constant Matrixmentioning
confidence: 99%
“…Now let us look explicitly at what the approximation (41) implies and how it impacts the rate constants. From eqn (18), after the IEREs relax to zero, one obtains jwi ¼ X…”
Section: The ''Near-boltzmann'' Approximationmentioning
confidence: 99%
“…If we further assume that the observed steady-state population ( ∼ 4) is dynamic and controlled by an effective equilibrium constant, K eq , for the unimolecular reaction then the forward ( k f ) and reverse ( k r ) unimolecular reaction rates that govern the exchange kinetics follow the usual constraint: . Solving the kinetic response equations yields the predicted time-dependent populations of the two sites in Figure . These curves describe the limiting regime II case where the local population in one site is completely removed by the pump laser and is then partially restored as the remaining ion ensemble relaxes back to the steady state.…”
mentioning
confidence: 99%
“…This model leads to the time evolution of the reactant population AD­( t ): where ΔAD­( t ) = AD­( t ) – AD(∞). AD(0) is the population immediately after depletion by the pump, and AD(∞) denotes that upon re-equilibration …”
mentioning
confidence: 99%
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