arXiv subjects

Aldaïr Petronilia

Publications and source records attributed to Aldaïr Petronilia.

4 recordsLinked to original sources

arXiv2026

A stochastic Fokker--Planck equation for the mean-field limit of a population of noisy integrate-and-fire neurons

We study a densely connected system of excitatory integrate-and-fire neurons which are subject to common noise. The system incorporates a gradual transmission of action potentials and captures the re- and hyperpolarization phases through a random refractory period followed by a reset to a randomized level below the rest potential. As the number of neurons tends to infinity, we show that there is weak convergence to a unique membrane potential density governed by a stochastic Fokker--Planck equation with a well-defined spike transmission rate. The latter is driven by the mean cumulative spike count, which is non-differentiable but shown to satisfy a generalized flux condition. We obtain the uniqueness of the Fokker--Planck equation from energy estimates in the dual of the first Sobolev space. Finally, we give a conditional McKean--Vlasov representation of the membrane potential density as the law of a representative neuron given the common noise.

math.AP↗

arXiv2026

Probabilistic estimates for a system of noisy integrate-and-fire neurons

In this note, we establish various probabilistic estimates for an interacting particle system that describes the evolution of the membrane potentials in a network of excitatory integrate-and-fire neurons, which are subject to both idiosyncratic and common noise. These estimates serve to support a separate work that studies the large population limit and the corresponding stochastic Fokker--Planck equation for the membrane potential density.

math.PR↗

arXiv2025

Contagious McKean--Vlasov problems with common noise: from smooth to singular feedback through hitting times

We consider a family of McKean--Vlasov equations arising as the large particle limit of a system of interacting particles on the positive half-line with common noise and feedback. Such systems are motivated by structural models for systemic risk with contagion. This contagious interaction is such that when a particle hits zero, the impact is to move all the others toward the origin through a kernel which smooths the impact over time. We study a rescaling of the impact kernel under which it converges to the Dirac delta function so that the interaction happens instantaneously and the limiting singular McKean--Vlasov equation can exhibit jumps. Our approach provides a novel method to construct solutions to such singular problems that allows for more general drift and diffusion coefficients and we establish weak convergence to relaxed solutions in this setting. With more restrictions on the coefficients we can establish an almost sure version showing convergence to strong solutions. Under some regularity conditions on the contagion, we also show a rate of convergence up to the time the regularity of the contagion breaks down. Lastly, we perform some numerical experiments to investigate the sharpness of our bounds for the rate of convergence.

math.PR↗

arXiv2019

Optimized Runge-Kutta (LDDRK) timestepping schemes for non-constant-amplitude oscillations

Finite differences and Runge-Kutta time stepping schemes used in Computational AeroAcoustics simulations are often optimized for low dispersion and dissipation (e.g. DRP or LDDRK schemes) when applied to linear problems in order to accurately simulate waves with the least computational cost. Here, the performance of optimized Runge-Kutta time stepping schemes for linear time-invariant problems with non-constant-amplitude oscillations is considered. This is in part motivated by the recent suggestion that optimized spatial derivatives perform poorly for growing and decaying waves, as their optimization implicitly assumes real wavenumbers. To our knowledge, this is the first time the time-stepping of non-constant-amplitude oscillations has been considered. It is found that current optimized Runge-Kutta schemes perform poorly in comparison with their maximal order equivalents for non-constant-amplitude oscillations. Moreover, significantly more accurate results can be achieved for the same computation cost by replacing a two-step scheme such as LDDRK56 with a single step higher-order scheme with a longer time step. Attempts are made at finding optimized schemes that perform well for non-constant-amplitude oscillations, and three such examples are provided. However, the traditional maximal order Runge-Kutta time stepping schemes are still found to be preferable for general problems with broadband excitation. These theoretical predictions are illustrated using a realistic 1D wave-propagation example.

math.NA↗