Role of network topology in non-equilibrium dynamics
Determine the role of network topology in the non-equilibrium dynamics of complex systems, specifically identifying how structural features of directed networks affect violations of detailed balance and entropy production across stochastic dynamical processes.
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Understanding the role of network topology remains an important unsolved problem in the non-equilibrium dynamics of complex systems.
A natural direction for future work is to generalize the present framework from a one-dimensional chain to arbitrary networks, with each node hosting an Ornstein--Uhlenbeck process and interacting non-reciprocally with its connected neighbours. In this setting, the dynamics can be written as \begin{align} \dot{\vec{x}=M\mathbf{x}+\vec{\eta},\qquad M=-K+A, \end{align} where $K=k \delta_{ij}$ contains the stiffness coefficients, and $A$ is the weighted directed adjacency matrix encoding the inter-node non-reciprocal interactions. The underlying network topology then provides an additional control parameter, naturally raising the question of whether non-reciprocity can be harnessed to enhance targeted transport.