TY - JOUR
T1 - Murray's law for discrete and continuum models of biological networks
AU - Haskovec, Jan
AU - Markowich, Peter A.
AU - Pilli, Giulia
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Giulia Pilli acknowledges support from the Austrian Science Fund (FWF) through the grants F 65 and W 1245.
PY - 2019/9/9
Y1 - 2019/9/9
N2 - We demonstrate the validity of Murray's law, which represents a scaling relation for branch conductivities in a transportation network, for discrete and continuum models of biological networks. We first consider discrete networks with general metabolic coefficient and multiple branching nodes and derive a generalization of the classical 3/4-law. Next we prove an analogue of the discrete Murray's law for the continuum system obtained in the continuum limit of the discrete model on a rectangular mesh. Finally, we consider a continuum model derived from phenomenological considerations and show the validity of the Murray's law for its linearly stable steady states.
AB - We demonstrate the validity of Murray's law, which represents a scaling relation for branch conductivities in a transportation network, for discrete and continuum models of biological networks. We first consider discrete networks with general metabolic coefficient and multiple branching nodes and derive a generalization of the classical 3/4-law. Next we prove an analogue of the discrete Murray's law for the continuum system obtained in the continuum limit of the discrete model on a rectangular mesh. Finally, we consider a continuum model derived from phenomenological considerations and show the validity of the Murray's law for its linearly stable steady states.
UR - http://hdl.handle.net/10754/659074
UR - https://www.worldscientific.com/doi/abs/10.1142/S0218202519500489
UR - http://www.scopus.com/inward/record.url?scp=85072969465&partnerID=8YFLogxK
U2 - 10.1142/S0218202519500489
DO - 10.1142/S0218202519500489
M3 - Article
SN - 0218-2025
VL - 29
SP - 2359
EP - 2376
JO - Mathematical Models and Methods in Applied Sciences
JF - Mathematical Models and Methods in Applied Sciences
IS - 12
ER -