A continuous constraint satisfaction problem for the rigidity transition in confluent tissues
Pierfrancesco Urbani

TL;DR
This paper introduces an exactly solvable mean field model for the rigidity transition in confluent tissues, mapping it to a continuous constraint satisfaction problem and analyzing the SAT/UNSAT phases and critical behavior.
Contribution
It develops a novel mean field model that maps tissue rigidity to a random continuous constraint satisfaction problem, providing analytical insights into the phase transition.
Findings
Identifies the SAT/UNSAT threshold for the rigidity transition
Characterizes the RSB/ergodicity breaking transition similar to Gardner transition
Compares thermodynamic solutions with numerical minimization results
Abstract
Models of confluent tissues are built out of tessellations of the space (both in two and three dimensions) in which the cost function is constructed in such a way that individual cells try to optimize their volume and surface in order to reach a target shape. At zero temperature, many of these models exhibit a rigidity transition that separates two phases: a liquid phase and a solid (glassy) phase. This phenomenology is now well established but the theoretical understanding is still not complete. In this work we consider an exactly soluble mean field model for the rigidity transition which is based on an abstract mapping. We replace volume and surface functions by random non-linear functions of a large number of degrees of freedom forced to be on a compact phase space. We then seek for a configuration of the degrees of freedom such that these random non-linear functions all attain the…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Advanced Mathematical Modeling in Engineering
