Lucija Nora Farkaš | Searcharxiv

arXiv2026

Variance of the $SIS$ Epidemic on Networks: A Diffusion Approximation

Functional laws of large numbers (FLLNs) describe the mean-field trajectory of epidemics on networks, but say nothing about the fluctuations around it. These fluctuations are governed by moments of the degree distribution not relevant at the level of the mean. A rigorous functional central limit theorem (FCLT) exists for the susceptible--infected ($SI$) process on configuration-model graphs, but no analogue exists for $SIS$, where recovery reintroduces vertices into the susceptible pool with partially known neighborhoods, breaking the clean neighborhood distribution the $SI$ derivation relies on. We develop a tractable variance approximation for Markovian $SIS$ on configuration-model graphs, combining Gleeson's approximate master equation (AME) framework with a van Kampen system-size expansion in the spirit of the $SI$ FCLT. We derive a closed drift and diffusion matrix for a reduced susceptible/$SI$-edge/$SS$-edge count vector and obtain the time-dependent covariance via the associated Langevin/Lyapunov equation. Validation against Gillespie simulation across Poisson, regular, and power-law networks shows close agreement, with deviations near the epidemic threshold and in strongly heterogeneous networks.

cond-mat.stat-mech↗

arXiv2023

Approach to the lower critical dimension of the $φ^4$ theory in the derivative expansion of the Functional Renormalization Group

We revisit the approach to the lower critical dimension $d_{\rm lc}$ in the Ising-like $φ^4$ theory within the functional renormalization group by studying the lowest approximation levels in the derivative expansion of the effective average action. Our goal is to assess how the latter, which provides a generic approximation scheme valid across dimensions and found to be accurate in $d\geq 2$, is able to capture the long-distance physics associated with the expected proliferation of localized excitations near $d_{\rm lc}$. We show that the convergence of the fixed-point effective potential is nonuniform when $d\to d_{\rm lc}$ with the emergence of a boundary layer around the minimum of the potential. This allows us to make analytical predictions for the value of the lower critical dimension $d_{\rm lc}$ and for the behavior of the critical temperature as $d\to d_{\rm lc}$, which are both found in fair agreement with the known results. This confirms the versatility of the theoretical approach.

cond-mat.stat-mech↗