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Rafael Díaz Fuentes

Publications and source records attributed to Rafael Díaz Fuentes.

6 recordsLinked to original sources

Nonlocal logistics and nonlinear productions in an attraction-repulsion chemotaxis model: analysis of the global well-posedness

This paper investigates a {three-component} chemotaxis system involving both attraction and repulsion effects, as well as a nonlocal logistic-type source term. Mathematically, if $u=u(x,t)$, $v = v(x,t)$ and $w = w(x,t)$ denote the cell distribution, and the attractive and the repulsive chemical signals, the model is then described by \begin{equation*} \begin{cases} u_t = Δu - χ\nabla \cdot (u \nabla v) + ξ\nabla \cdot (u \nabla w) + a u^α- b u^α\int_Ωu^β, & x \in Ω, \ t > 0, τv_t = Δv - v + f(u), & x \in Ω, \ t > 0, τw_t = Δw - w + g(u), & x \in Ω, \ t > 0. \end{cases} \end{equation*} Here, $Ω\subset \mathbb{R}^n$ ($n \geq 1$) is a bounded smooth domain, $τ\in\{0,1\}$, $a,b,α,β,χ,ξ>0$, the production functions $f(u)$ and $g(u)$ are assumed to satisfy algebraic growth conditions of order $\ell$ and $ρ$, generalizing prototypes of the form $u^\ell$ and $u^ρ$, $\ell,ρ>0$. The work is devoted to proving the global existence and boundedness of classical solutions under a suitable balance between the signal production exponents $\ell, ρ$ and the nonlocal damping exponents $α, β$, for regular enough initial data and zero-flux boundary restrictions. In this regard, two main theorems are established for the cases where the chemical signals satisfy either elliptic ($τ=0$) or parabolic ($τ=1$) partial differential equations, highlighting how sufficiently strong nonlocal damping prevents the formation of singularities in time. We extend the results obtained in [Chiyo et al., Appl. Math. Optim. 89:9 (2024)], where the fully parabolic ($τ=1$) and only attraction version is studied. In our context, we establish well-posedness of the system and the long-time behavior of solutions.

math.AP↗

The simultaneous effect of chemotaxis and alarm-taxis on the global existence and stability of a predator-prey system

This study examines a fully parabolic predator-prey chemo-alarm-taxis system under homogeneous Neumann boundary conditions in a bounded domain $Ω\subset \mathbb{R}^n$ with a smooth boundary $\partialΩ$. Under specific parameter conditions, it is shown that the system admits a unique, globally bounded classical solution. The convergence of the solution is established through the construction of an appropriate Lyapunov functional. In addition, numerical simulations are presented to validate the asymptotic behaviour of the solution. The results highlight the significant role of chemotaxis and alarm-taxis coefficients in determining the existence and stability of predator-prey models, as discussed in the literature.

math.AP↗

Tumor-immune cell interactions by a fully parabolic chemotaxis model with logistic source

This work studies the existence of classical solutions to a class of chemotaxis systems reading \[\begin{cases} u_t = Δu-χ\nabla\cdot(u \nabla v) + μ_1 u^k -μ_2 u^{k+1}, & \text{in} \; Ω\times(0,T_{\text{max}}), \\ v_t= Δv+αw-βv-γu v, & \text{in} \; Ω\times(0,T_{\text{max}}), \\ w_t= Δw-δu w+ μ_3 w(1-w), & \text{in} \; Ω\times(0,T_{\text{max}}), \\ \frac{\partial u}{\partialν}=\frac{\partial v}{\partialν}=\frac{\partial w}{\partialν}=0, & \text{on} \; \partialΩ\times(0,T_{\text{max}}), \\ u(x,0)=u_0(x), \quad v(x,0)= v_0(x), \quad w(x,0)= w_0(x), & x\in\overlineΩ, \end{cases}\] that model interactions between tumor (i.e., $w$) and immune cells (i.e., $u$) with a logistic-type source term $μ_1 u^k - μ_2 u^{k+1}$, $k\geq1$, also in presence of a chemical signal (i.e., $v$). The model parameters $χ, μ_1,μ_2, μ_3, α, β, γ$, and $δ$ are all positive. The value $T_{\text{max}}$ indicates the maximum instant of time up to which solutions are defined. Our focus is on examining the global existence in a bounded domain $Ω\subset \mathbb{R}^n, n \geq 3$, under Neumann boundary conditions. We distinguish between two scenarios: $k>1$ and $k=1$. The first case allows to prove boundedness under smaller assumptions relying only on the model parameters instead of on the initial data, while the second case requires an extra condition relating the parameters $χ, μ_2$, $n$, and the initial data $\lVert v_0 \rVert_{L^\infty(Ω)}$. This model can be seen as an extension of those previously examined in [11] and [4], being the former a system with only two equations and the latter the same model without logistic.

math.AP↗

Dissipation through combinations of nonlocal and gradient nonlinearities in chemotaxis models

This work concerns with a class of chemotaxis models in which external sources, comprising nonlocal and gradient-dependent damping reactions, influence the motion of a cell density attracted by a chemical signal. The mechanism of the two densities is studied in bounded and impenetrable regions. In particular, it is seen that no gathering effect for the cells can appear in time provided that the damping impacts are sufficiently strong.

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Global existence and lower bounds in a class of tumor-immune cell interactions chemotaxis systems

This paper investigates the properties of classical solutions to a class of chemotaxis systems that model interactions between tumor and immune cells. Our focus is on examining the global existence and explosion of such solutions in bounded domains of $\mathbb{R}^n$, $n\geq3$, under Neumann boundary conditions. We distinguish between two scenarios: one where all equations are parabolic and another where only one equation is parabolic while the rest are elliptic. Boundedness is demonstrated under smallness assumptions on the initial data in the former scenario, while no such constraints are necessary in the latter. Additionally, we provide estimates for the blow-up time of unbounded solutions in three dimensions, supported by numerical simulations.

math.AP↗

Subdivision based snakes for contour detection

In this paper we propose a method for computing the contour of an object in an image using a snake represented as a subdivision curve. The evolution of the snake is driven by its control points which are computed minimizing an energy that pushes the snake towards the boundary of the interest region. Our method profits from the hierarchical nature of subdivision curves, since the unknowns of the optimization process are the few control points of the subdivision curve in the coarse representation and, at the same time, good approximations of the energies and their derivatives are obtained from the fine representation. We introduce a new region energy that guides the snake maximizing the contrast between the average intensity of the image within the snake and over the complement of the snake in a bounding box that does not change during the optimization. To illustrate the performance of our method we discuss the snakes associated with two classical subdivision schemes: the four point scheme and the cubic B-spline. Our experiments using synthetic and real images confirm that the proposed method is fast and robust.

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