arXiv subjects

J. Tomás Lázaro

Publications and source records attributed to J. Tomás Lázaro.

5 recordsLinked to original sources

arXiv2026

Multiscale feedback drives viral evolution and epidemic dynamics

We introduce a minimal multiscale framework that links within-host virus dynamics to population-level SIRS epidemiology through explicit, bidirectional coupling. At the microscopic layer, a two variant quasispecies (master and mutant genomes with packaged virions) evolves on a fast timescale. At the macroscopic layer, two infectious classes (master- and mutant-infected), susceptible, recovered, and deceased individuals evolve slowly. The two scales are connected through transmission rates that depend on instantaneous virion abundance and through prevalence-weighted effective replication rates. Exploiting the timescale separation, we formalize a coarse-grained slow-fast closure: the genome-virion subsystem rapidly relaxes to quasi-steady states that parameterize time-varying transmission in the slow epidemiological system. This yields an integrated expression for the basic reproduction number and sharp inequalities that delineate coexistence versus exclusion. A key prediction is a context-dependent error threshold that shifts with the prevalence ratio, enabling transient pseudo-error catastrophes driven by epidemic composition rather than intrinsic fidelity. Linearization reveals parameter regions with damped oscillations arising solely from the microscopic-macroscopic feedback. Two illustrative extremes bracket the model's behavior: an avirulent strongly immunizing strain that benignly replaces the master, and a hypervirulent weakly immunizing that self-limits via host depletion and collapses transmission. This framework yields testable signatures linking viral load, incidence, and within-host composition.

math.DS↗

arXiv2024

Quasineutral multistability in an epidemiological-like model for defective-helper betacoronavirus infection in cell cultures

It is well known that, during replication, RNA viruses spontaneously generate defective viral genomes (DVGs). DVGs are unable to complete an infectious cycle autonomously, and depend on coinfection with a helper wild-type virus (HV) for their replication and/or transmission. The study of the dynamics arising from a HV and its DVGs has been a longstanding question in virology. It has been shown that DVGs can modulate HV replication and, depending on the strength of interference, result in HV extinctions or self-sustained persistent fluctuations. Extensive experimental work has provided mechanistic explanations for DVG generation and compelling evidences of HV-DVGs virus coevolution. Some of these observations have been captured in mathematical models. Here, we develop and investigate an epidemiological-like mathematical model specifically designed to study the dynamics of betacoronavirus in cell cultures experiments. The dynamics of the model is governed by several degenerate normally hyperbolic invariant manifolds given by quasineutral planes - i.e. filled by equilibrium points. Three different quasineutral planes have been identified depending on parameters and involving: (i) persistence of HV and DVGs; (\emph{ii}) persistence of non-infected cells and DVG-infected cells; and (iii) persistence of DVG-infected cells and DVGs. Sensitivity analyses indicate that model dynamics largely depend on the maximum burst size ($B$), and both the production rate ($β$) and replicative advantage ($δ$) of DVGs. Finally, the model has been fitted to single-passage experimental data using artificial intelligence and key virological parameters have been estimated.

math.DS↗

arXiv2022

Semiclassical theory explains stochastic ghosts scaling

Slowing down phenomena occur in both deterministic and stochastic dynamical systems at the vicinity of phase transitions or bifurcations. An example is found in systems exhibiting a saddle-node bifurcation, which undergo a dramatic time delay towards equilibrium. Specifically the duration of the transient, $τ$, close to this bifurcation in deterministic systems follows scaling laws of the form $τ\sim |ε- ε_c|^{-1/2}$, where $ε$ is the bifurcation or control parameter, and $ε_c$ its critical value. For systems undergoing a saddle-node bifurcation, the mechanism involves transients getting trapped by a so-called ghost. In a recent article we explored how intrinsic noise affected the deterministic picture. Extensive numerical simulations showed that, although scaling behaviour persisted in the presence of noise, the scaling law was more complicated than a simple power law. In order to gain deeper insight into this scaling behaviour, we resort to the WKB asymptotic approximation of the Master Equation. According to this approximation, the behaviour of the system is given as the weighted sum of \emph{trajectories} within the phase space of the Hamiltonian associated to the corresponding Hamilton-Jacobi equation. By analysing the flight time of the Hamilton equations, we show that the statistically significant paths follow a scaling function that exactly matches the one observed in the stochastic simulations. We therefore put forward that the properties of the flight times of the Hamiltonian system underpin the scaling law of the underlying stochastic system, and that the same properties should extend in a universal way to all stochastic systems whose associated Hamiltonian exhibits the same behaviour.

math.DS↗

arXiv2017

Differential Galois Theory and non-Integrability of Planar Polynomial Vector Fields

We study a necessary condition for the integrability of the polynomials fields in the plane by means of the differential Galois theory. More concretely, by means of the variational equations around a particular solution it is obtained a necessary condition for the existence of a rational first integral. The method is systematic starting with the first order variational equation. We illustrate this result with several families of examples. A key point is to check wether a suitable primitive is elementary or not. Using a theorem by Liouville, the problem is equivalent to the existence of a rational solution of a certain first order linear equation, the Risch equation. This is a classical problem studied by Risch in 1969, and the solution is given by the "Risch algorithm". In this way we point out the connection of the non integrablity with some higher transcendent functions, like the error function.

math.DS↗

arXiv2010

Upper bounds for the number of zeroes for some Abelian integrals

Consider the vector field $x'= -yG(x, y), y'=xG(x, y),$ where the set of critical points $\{G(x, y) = 0\}$ is formed by $K$ straight lines, not passing through the origin and parallel to one or two orthogonal directions. We perturb it with a general polynomial perturbation of degree $n$ and study which is the maximum number of limit cycles that can bifurcate from the period annulus of the origin in terms of $K$ and $n.$ Our approach is based on the explicit computation of the Abelian integral that controls the bifurcation and in a new result for bounding the number of zeroes of a certain family of real functions. When we apply our results for $K\le4$ we recover or improve some results obtained in several previous works.

math.DS↗