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Density-fitted Poisson method

In the case where the correlation function <3> (f) has the form of Eq. (148), with p fitting the condition 2 < p < 3, the generalized diffusion equation is irreducibly non-Markovian, thereby precluding any procedure to establish a Markov condition, which would be foreign to its nature. The source of this fundamental difficulty is that the density method converts the infinite memory of a non-Poisson renewal process into a different type of memory. The former type of memory is compatible with the occurrence of critical events resetting to zero the systems memory. The second type of memory, on the contrary, implies that the single trajectories, if they exist, are determined by their initial conditions. [Pg.397]


See other pages where Density-fitted Poisson method is mentioned: [Pg.21]    [Pg.29]    [Pg.21]    [Pg.29]    [Pg.289]    [Pg.30]    [Pg.98]    [Pg.55]    [Pg.64]    [Pg.20]    [Pg.17]    [Pg.331]    [Pg.21]    [Pg.262]   
See also in sourсe #XX -- [ Pg.29 ]




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Poisson

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