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Global existence, asymptotic behavior, and pattern formation driven by the parametrization of a nonlocal Fisher-KPP problem

Jing Li, Li Chen, Christina Surulescu

TL;DR

The paper analyzes the global existence and long-time behavior of the nonlocal Fisher–KPP equation $u_t=\Delta u+\mu u^{\alpha}(1-\kappa J*u^{\beta})$ on $\mathbb{R}^N$, with $\alpha\ge1$, $\beta,\mu,\kappa>0$ and a competition kernel $J$. It identifies a subcritical exponent threshold $\alpha^*$, namely $\alpha^*=1+\beta$ for $N=1,2$ and $\alpha^*=1+\frac{2\beta}{N}$ for $N>2$, which guarantees global bounded solutions for all nonnegative bounded initial data. The authors prove hair-trigger convergence to the carrying capacity $\kappa^{-1/\beta}$ under additional initial-data assumptions, and provide a detailed numerical study in 1D to reveal how kernel shape and parameter choices affect boundedness, convergence, and pattern formation, complemented by a mesoscopic derivation in the Appendix. These results illustrate how nonlocal competition reshapes classical blow-up thresholds, enabling global existence on unbounded domains and offering insights into ecological and cellular pattern formation.

Abstract

The global boundedness and the hair trigger effect of solutions for the nonlinear nonlocal reaction-diffusion equation \begin{align*} u_t=Δu+μu^α(1-κJ*u^β),\quad\hbox{in} \;\mathbb R^N\times(0,\infty),\; N\geq 1 \end{align*} with $α\geq1$, $β,μ,κ>0$ and $u(x,0)=u_0(x)$ are investigated. Under appropriate assumptions on $J$, it is proved that for any nonnegative and bounded initial condition, if $α\in[1,α^*)$ with $α^*=1+β$ for $N=1,2$ and $α^*=1+\frac{2β}{N}$ for $N>2$, then the problem has a global bounded classical solution. Under further assumptions on the initial datum, the solutions satisfying $0\leq u(x,t)\leqκ^{-\frac1β}$ for any $(x,t)\in\mathbb R^N\times[0,+\infty)$ are shown to converge to $κ^{-\frac1β}$ uniformly on any compact subset of $\mathbb R^N$, which is known as the hair trigger effect. 1D numerical simulations of the above nonlocal reaction-diffusion equation are performed and the effect of several combinations of parameters and convolution kernels on the solution behavior is investigated. The results motivate a discussion about some conjectures arising from this model and further issues to be studied in this context. A formal deduction of the model from a mesoscopic formulation is provided as well.

Global existence, asymptotic behavior, and pattern formation driven by the parametrization of a nonlocal Fisher-KPP problem

TL;DR

The paper analyzes the global existence and long-time behavior of the nonlocal Fisher–KPP equation on , with , and a competition kernel . It identifies a subcritical exponent threshold , namely for and for , which guarantees global bounded solutions for all nonnegative bounded initial data. The authors prove hair-trigger convergence to the carrying capacity under additional initial-data assumptions, and provide a detailed numerical study in 1D to reveal how kernel shape and parameter choices affect boundedness, convergence, and pattern formation, complemented by a mesoscopic derivation in the Appendix. These results illustrate how nonlocal competition reshapes classical blow-up thresholds, enabling global existence on unbounded domains and offering insights into ecological and cellular pattern formation.

Abstract

The global boundedness and the hair trigger effect of solutions for the nonlinear nonlocal reaction-diffusion equation \begin{align*} u_t=Δu+μu^α(1-κJ*u^β),\quad\hbox{in} \;\mathbb R^N\times(0,\infty),\; N\geq 1 \end{align*} with , and are investigated. Under appropriate assumptions on , it is proved that for any nonnegative and bounded initial condition, if with for and for , then the problem has a global bounded classical solution. Under further assumptions on the initial datum, the solutions satisfying for any are shown to converge to uniformly on any compact subset of , which is known as the hair trigger effect. 1D numerical simulations of the above nonlocal reaction-diffusion equation are performed and the effect of several combinations of parameters and convolution kernels on the solution behavior is investigated. The results motivate a discussion about some conjectures arising from this model and further issues to be studied in this context. A formal deduction of the model from a mesoscopic formulation is provided as well.

Paper Structure

This paper contains 7 sections, 6 theorems, 126 equations, 6 figures.

Key Result

Theorem 1.1

Suppose $\alpha\in[1,\alpha^*)$ with where $\beta , \mu, \kappa>0$ and eq:1-3 holds. Then for every initial data $0\leq u_0\in L^\infty(\mathbb R^N)$, the nonnegative solution of eq:1-1--eq:1-2 exists and is globally bounded in time, that is, there exists $M>0$ such that Moreover, for any $K>1$, there exists $\mu^*>0$ such that for $\mu\in(0,\mu^*)$, 00 holds with where and with $\delta_0$ an

Figures (6)

  • Figure 1: Simulation results for \ref{['eq:simulated']} with $\beta =\kappa=1$, $\mu=1$ (upper row), $\mu =10$ (middle row), $\mu =100$ (lower row), $J$ uniform kernel, and different values of $\alpha$. Subfigures \ref{['fig:0-3']}, \ref{['fig:1-2']}, \ref{['fig:1-3']}, \ref{['fig:1-5']} and \ref{['fig:1-6']} show the solution at the time moments just before it blows up.
  • Figure 2: Simulation results for \ref{['eq:simulated']} with $J$ logistic kernel, $\beta=\kappa=1$.
  • Figure 3: Initial condition and simulation results for \ref{['eq:simulated']} with $J$ uniform kernel, $\beta=\kappa=1$.
  • Figure 4: Simulation results for \ref{['eq:simulated']} with $J$ logistic kernel, $\beta=\kappa=1$.
  • Figure 5: Simulation results for \ref{['eq:simulated']} with $J$ uniform, $\alpha =1.1,\ \beta=0.1,\ \kappa=0.2,\ \mu =150$
  • ...and 1 more figures

Theorems & Definitions (9)

  • Theorem 1.1
  • Theorem 1.2
  • Remark 1.1
  • Proposition 2.1
  • Lemma 2.1
  • proof
  • Proposition 3.1
  • proof
  • Lemma 4.1