Abstract
Equation (1), with the additional conditions
(i.e., the vector e is a solution, though not necessarily the minimal one), arises from the study of a class of branching processes known as Markovian binary trees. These processes model a population composed of a number of individuals, each of which may be in a state φ ∈ {1,2, ..., n}. The individuals evolve independently and have state-dependent probabilities of reproducing or dying. Here reproducing means that an individual in state i splits into two individuals in state j and k respectively; the probability of this event is represented by the term bijk in the equation, while the probability of an individual in state i dying is a i .
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© 2011 Scuola Normale Superiore Pisa
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Poloni, F. (2011). A Perron vector iteration for QVEs. In: Algorithms for Quadratic Matrix and Vector Equations. Tesi/Theses, vol 16. Edizioni della Normale, Pisa. https://doi.org/10.1007/978-88-7642-384-0_3
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DOI: https://doi.org/10.1007/978-88-7642-384-0_3
Publisher Name: Edizioni della Normale, Pisa
Print ISBN: 978-88-7642-383-3
Online ISBN: 978-88-7642-384-0
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