Critical points of a discrete network energy functional satisfy a generalized Murray's law with exponent (gamma+1)/2, and formal continuum analogues hold under extra regularity assumptions.
A mesoscopic model of biological transportation networks
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abstract
We introduce a mesoscopic model for natural network formation processes, acting as a bridge between the discrete and continuous network approach proposed by Hu and Cai. The models are based on a common approach where the dynamics of the conductance network is subject to pressure force effects. We first study topological properties of the discrete model and we prove that if the metabolic energy consumption term is concave with respect to the conductivities, the optimal network structure is a tree (i.e., no loops are present). We then analyze various aspects of the mesoscopic modeling approach, in particular its relation to the discrete model and its stationary solutions, including discrete network solutions. Moreover, we present an alternative formulation of the mesoscopic model that avoids the explicit presence of the pressure in the energy functional.
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math.AP 1years
2019 1verdicts
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Murray's law for discrete and continuum models of biological networks
Critical points of a discrete network energy functional satisfy a generalized Murray's law with exponent (gamma+1)/2, and formal continuum analogues hold under extra regularity assumptions.