arXiv subjects

Matteo Sireci

Publications and source records attributed to Matteo Sireci.

4 recordsLinked to original sources

arXiv2025

Excess dissipation shapes symmetry breaking in non-equilibrium currents

Most natural thermodynamic systems operate far from equilibrium, developing persistent currents and organizing into non-equilibrium stationary states (NESSs). Yet, the principles by which such systems self-organize, breaking equilibrium symmetries under external and internal constraints, remain unclear. Here, we establish a general connection between symmetry breaking and dissipation in mesoscopic stochastic systems described by Langevin dynamics. Using a geometric framework based on the inverse diffusion matrix, we decompose the velocity field into excess (gradient) and housekeeping (residual) components. This provides a natural entropy production split: the excess part captures internal reorganization under non-equilibrium conditions, while the housekeeping part quantifies detailed-balance violation due to external forces. We derive an exact equality linking the two, along with an inequality identifying accessible thermodynamics. A weak-noise expansion of the stationary solution reveals the general geometry of the NESS velocity field, enabling a unified classification of steady states. We apply this framework to systems ranging from molecular machines to coupled oscillators, showing how symmetry breaking in trajectory space constrains NESS organization. We further extend our approach to systems with multiplicative noise, deriving how additional symmetry breaking relates to curved (space-dependent) metrics. Finally, we show that both the NESS velocity field and stationary distribution can be derived through variational functionals based on excess dissipation. This work sheds light on the intimate connection between geometric features, dissipative properties, and symmetry breaking, uncovering a classification of NESSs that reflects how emergent organization reflects physical non-equilibrium conditions.

cond-mat.stat-mech↗

arXiv2023

Sparse species interactions reproduce abundance correlation patterns in microbial communities

During the last decades macroecology has identified broad-scale patterns of abundances and diversity of microbial communities and put forward some potential explanations for them. However, these advances are not paralleled by a full understanding of the dynamical processes behind them. In particular, abundance fluctuations of different species are found to be correlated, both across time and across communities in metagenomic samples. Reproducing such correlations through appropriate population models remains an open challenge. The present paper tackles this problem and points to sparse species interactions as a necessary mechanism to account for them. Specifically, we discuss several possibilities to include interactions in population models and recognize Lotka-Volterra constants as a successful ansatz. For this, we design a Bayesian inference algorithm to extract sets of interaction constants able to reproduce empirical probability distributions of pairwise correlations for diverse biomes. Importantly, the inferred models still reproduce well-known single-species macroecological patterns concerning abundance fluctuations across both species and communities. Endorsed by the agreement with the empirically observed phenomenology, our analyses provide insights on the properties of the networks of microbial interactions, revealing that sparsity is a crucial feature.

q-bio.PE↗

arXiv2023

Dissipative symmetry breaking in non-equilibrium steady states

The connection between dissipation and symmetry breaking is a long-standing enigma in statistical physics. It is intimately connected to the quest of a non-equilibrium functional whose minimization gives the non-equilibrium steady state (NESS). Writing down such a functional, we show that, in the presence of additive noise, any NESS is characterized by the minimum entropy production compatible with the maximum dissipation along cycles in the trajectory space. This result sheds light on the excess entropy production principle and the onset of chiral symmetry breaking out-of-equilibrium, indicating that the housekeeping dissipation is connected with the tendency of performing cycles in a preferential direction. Finally, when multiplicative noise is present, we find that the non-equilibrium functional has two dissipative symmetry-breaking contributions, one stemming from cycles and the other from a thermophoresis-like effect. Our framework paves the way to understand selection phenomena as symmetry-breaking processes driven by non-equilibrium dissipation.

cond-mat.stat-mech↗

arXiv2021

Phenotypic-dependent variability and the emergence of tolerance in bacterial populations

Ecological and evolutionary dynamics have been historically regarded as unfolding at broadly separated timescales. However, these two types of processes are nowadays well documented to much more tightly than traditionally assumed, especially in communities of microorganisms. With this motivation in mind, here we scrutinize recent experimental results showing evidence of rapid evolution of tolerance by lag in bacterial populations that are periodically exposed to antibiotic stress in laboratory conditions. In particular, the distribution of single-cell lag times evolves its average value to approximately fit the antibiotic-exposure time. Moreover, the distribution develops right skewed heavy tails, revealing the presence of individuals with anomalously large lag times. Here, we develop a parsimonious individual-based model mimicking the actual demographic processes of the experimental setup. Individuals are characterized by a single phenotypic trait: their intrinsic lag time, which is transmitted with variation to the progeny. The model (in a version in which the amplitude of phenotypic variations grows with the parentś lag time) is able to reproduce quite well the key empirical observations. Furthermore, we develop a general mathematical framework allowing us to describe with good accuracy the properties of the stochastic model by means of a macroscopic equation, which generalizes the Crow Kimura equation in population genetics. From a broader perspective, this work represents a benchmark for the mathematical framework designed to tackle much more general eco-evolutionary problems, thus paving the road to further research avenues.

q-bio.PE↗