Multidimensional Lambert-Euler inversion and vector-multiplicative coalescent processes
Yevgeniy Kovchegov, Peter T. Otto

TL;DR
This paper introduces a multidimensional Lambert-Euler inversion, proves the existence of minimal solutions, and applies it to analyze vector-multiplicative coalescent processes, including gelation phenomena and spanning tree asymptotics.
Contribution
It develops a novel multidimensional Lambert-Euler inversion and applies it to solve hydrodynamic limits and gelation times in vector coalescent models.
Findings
Existence and uniqueness of minimal solutions to the multidimensional Lambert-Euler equation.
Closed-form expression for gelation time in vector-multiplicative coalescent.
Asymptotic analysis of minimal spanning tree length for random graphs.
Abstract
In this paper we show the existence of the minimal solution to the multidimensional Lambert-Euler inversion, a multidimensional generalization of branch of Lambert W function . Specifically, for a given nonnegative irreducible symmetric matrix , we show that for , if equation has at least one solution, it must have a minimal solution , where the minimum is achieved in all coordinates simultaneously. Moreover, such is the unique solution satisfying , where is the diagonal matrix with entries and denotes the spectral radius. Our main application is in the vector-multiplicative coalescent process. It is a coalescent process with …
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Taxonomy
TopicsSports Dynamics and Biomechanics
