Journal of Applied Probability · 2004 · 15 citations · 15 references
Natural SciencesEvolutionary BiologyDynamical SystemsPopulation EcologyStochastic ProcessesBranching ProcessesLarge DeviationsLaw Of Large NumbersLimit TheoremsExponential GrowthExponential Population GrowthFamily Size DistributionLarge Deviations For Branching ProcessesLarge Deviations PrincipleMinimum Viable Population SizeMultitype Branching ProcessesPopulation Size
Large deviation results are obtained for the normed limit of a supercritical multitype branching process. Starting from a single individual of type i , let L [ i ] be the normed limit of the branching process, and let be the minimum possible population size at generation k . If is bounded in k (bounded minimum growth), then we show that P( L [ i ] ≤ x ) = P( L [ i ] = 0) + x α F * [ i ]( x ) + o ( x α ) as x → 0. If grows exponentially in k (exponential minimum growth), then we show that −log P( L [ i ] ≤ x ) = x − β /(1− β ) G * [ i ]( x ) + o ( x − β /(1− β ) ) as x → 0. If the maximum family size is bounded, then −log P( L [ i ] > x ) = x δ /( δ −1) H * [ i ]( x ) + o ( x δ /( δ −1) ) as x → ∞. Here α , β and δ are constants obtained from combinations of the minimum, maximum and mean growth rates, and F * , G * and H * are multiplicatively periodic functions.
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Large Deviations for a General Class of Random Vectors
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