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Large time behavior and transition from vanishing to spreading regimes for the generalized Burgers-Fisher-KPP equation

Published 23 Apr 2026 in math.AP and math-ph | (2604.22108v1)

Abstract: The large time behavior of solutions to the following generalized Burgers-Fisher-KPP equation ∂tu=uxx+k(u<sup>n)x+u<sup>p−u<sup>q,</sup></sup></sup>(x,t)∈R×(0,∞), \partial_tu=u_{xx}+k(u<sup>n)_x+u<sup>p-u<sup>q,</sup></sup></sup> \quad (x,t)\in\mathbb{R}\times(0,\infty), with n≥2n\geq2, $p&gt;q\geq1$ and k∈Rk\in\mathbb{R}, is considered in this work. Denoting by H(x,t)H(x,t), respectively H~(x,t)\widetilde{H}(x,t) the solutions having as initial condition the Heaviside, respectively the ``anti-Heaviside" functions $$ H_0(x)=\begin{cases} 0, &amp; \mbox{if } x&lt;0 1, &amp; \mbox{if } x\geq0. \end{cases}, \quad \widetilde{H}_0(x)=1-H_0(x), $$ critical velocities c‾\overline{c}, respectively c~=kn+2p−q\widetilde{c}=kn+2\sqrt{p-q}, are identified such that H(x,t)H(x,t), respectively H~(x,t)\widetilde{H}(x,t) approach the unique traveling wave solution of the equation with these critical velocities as t→∞t\to\infty. The critical velocity c‾\overline{c} is \emph{anomalous}, that is, it cannot be made explicit by an algebraic expression. Assuming for simplicity $k&gt;0$, a remarkable fact is that, while H~(x,t)→0\widetilde{H}(x,t)\to0 as t→∞t\to\infty uniformly on compact subsets of R\mathbb{R}, the Heaviside solution HH might tend either to zero or to one as t→∞t\to\infty, depending on the sign of the critical velocity c‾\overline{c}. This sign vary with respect to the exponents nn, pp, qq and the coefficient kk and, in fact, we prove that given pp, qq, nn, there exists a critical coefficient k<sup>∗(n,p,q)k<sup>*(n,p,q) such that $\overline{c}&gt;0$ if $k&gt;k<sup>*(n,p,q)$ and $\overline{c}&lt;0$ if $k&lt;k<sup>*(n,p,q)$. The convergence to either zero or one reflects the sharp influence of the convection term, since in the absence of it (that is, k=0k=0), H(x,t)H(x,t) would always tend to zero as t→∞t\to\infty. The results include more general initial conditions than the Heaviside-type functions, and sharp estimates of the threshold coefficient k<sup>∗(n,p,q)k<sup>*(n,p,q) are also given.

Summary

  • The paper identifies a critical velocity, cÌ„, that marks the transition between extinction and invasion regimes in the generalized Burgers-Fisher-KPP equation.
  • It employs dynamical systems reduction, phase-plane analysis, and sub-/supersolution techniques to rigorously prove the existence of sharp convective thresholds.
  • Explicit results on the threshold coefficient k*(n,p,q) highlight how parameters influence the balance of diffusion, reaction, and nonlinear convection.

Large Time Asymptotics and Critical Convection in the Generalized Burgers-Fisher-KPP Equation

Introduction and Motivation

This paper conducts an in-depth analysis of large-time dynamics for the Cauchy problem associated with the generalized Burgers-Fisher-KPP equation: ∂tu=uxx+k(un)x+up−uq,(x,t)∈R×(0,∞),\partial_t u = u_{xx} + k(u^n)_x + u^p - u^q, \quad (x, t) \in \mathbb{R} \times (0, \infty), where n≥2n\geq2, p>q≥1p>q\geq1, and k∈Rk\in\mathbb{R}. Extending the classical Fisher-KPP and Burgers-Fisher-KPP frameworks, this study incorporates the interplay between diffusion, nonlinear reaction, absorption, and convection, with exponents and coefficients outside the regime classically considered in population dynamics and reaction-diffusion theory.

The work focuses on the precise mechanisms underlying vanishing versus spreading phenomena and identifies critical transitions governed by the coupling of the nonlinear convection term k(un)xk (u^n)_x and other system parameters. It demonstrates that, unlike the prototypical Fisher-KPP scenario, the presence and strength of convection can fundamentally alter the long-term fate of the solution—ushering in a scenario where spreading and vanishing compete, with the ultimate outcome determined by a critical velocity whose analytic expression is generally inaccessible.

Mathematical Framework and Main Results

Traveling Waves, Critical Velocities, and Dynamical Systems Reduction

The investigation begins by revisiting the construction of traveling wave solutions of the form u(x,t)=f(x+ct)u(x, t) = f(x + ct), leading to a reduced dynamical system for (f,f′)(f, f'). The analysis classifies critical points—namely, P1=(0,0)P_1=(0,0) and P2=(1,0)P_2=(1,0)—and characterizes all admissible trajectories joining these points, depending on the wave velocity cc and parameters n≥2n\geq20.

A key technical device involves identifying a critical velocity n≥2n\geq21, determined as the supremum of values for which the phase-plane trajectory directly connects n≥2n\geq22 to n≥2n\geq23 without oscillations or crossing the n≥2n\geq24-axis. The value of n≥2n\geq25 depends subtly on all parameters and, crucially, is not given by a closed-form algebraic expression except in special cases.

Asymptotics for Heaviside and Anti-Heaviside Initial Data

Two canonical initial conditions are considered: the Heaviside function n≥2n\geq26 (step up at n≥2n\geq27) and the anti-Heaviside n≥2n\geq28. The main theorems can be summarized as follows:

  • For the Heaviside initial data:
    • The solution n≥2n\geq29 evolves asymptotically as a traveling wave with speed p>q≥1p>q\geq10: it converges either to p>q≥1p>q\geq11 (spreading) or p>q≥1p>q\geq12 (vanishing), depending on the sign of p>q≥1p>q\geq13.
    • Sharp transition: There exists p>q≥1p>q\geq14 such that for p>q≥1p>q\geq15, p>q≥1p>q\geq16 (spreading regime); for p>q≥1p>q\geq17, p>q≥1p>q\geq18 (vanishing regime).
  • For the anti-Heaviside data:
    • The solution always vanishes asymptotically, with propagation dictated by a more explicit velocity p>q≥1p>q\geq19.

These results are realized via rigorous sub- and supersolution constructions, comparison principles, and phase-plane analysis. Figure 1

Figure 1

Figure 1

Figure 1: Behavior of the solution with initial condition k∈Rk\in\mathbb{R}0 for all the relative positions of k∈Rk\in\mathbb{R}1 with respect to k∈Rk\in\mathbb{R}2: numerical experiment for k∈Rk\in\mathbb{R}3, k∈Rk\in\mathbb{R}4, k∈Rk\in\mathbb{R}5, with k∈Rk\in\mathbb{R}6 shows the transition from vanishing to spreading.

Critical Coefficient and Transition Phenomenon

The manuscript elucidates the threshold convection coefficient k∈Rk\in\mathbb{R}7, which separates long-term extinction from invasion. This threshold depends intricately on the exponents, with the following bounds established: k∈Rk\in\mathbb{R}8 and explicit expressions are proven in several cases (e.g., k∈Rk\in\mathbb{R}9, k(un)xk (u^n)_x0, yielding k(un)xk (u^n)_x1).

Key explicit and analytical results include:

  • In the regime k(un)xk (u^n)_x2, the threshold takes the value k(un)xk (u^n)_x3.
  • The transition is rigorously shown using a mix of explicit trajectories, monotonicity arguments, and topological conjugacy via self-maps of the traveling wave phase system.

This sharp transition from vanishing to spreading as k(un)xk (u^n)_x4 crosses k(un)xk (u^n)_x5 is a strong and nontrivial effect of nonlinear convection, contrasting starkly with the purely diffusive or linear convective Fisher-KPP case.

Extension to General Initial Data

Beyond step-type initial data, the theorems and proof techniques accommodate a broader class of initial conditions, provided they have the correct asymptotic behavior at k(un)xk (u^n)_x6 (quantified in terms of exponential or algebraic decay rates related to the linearization at the critical points). Thus, the long-term behavior manifests robustness with respect to perturbation of the initial configuration in the prescribed function space. Figure 2

Figure 2: Evolution in time of the ``anti-Heaviside" solution k(un)xk (u^n)_x7, confirming the uniform vanishing regime; numerical experiment for k(un)xk (u^n)_x8, k(un)xk (u^n)_x9, u(x,t)=f(x+ct)u(x, t) = f(x + ct)0, u(x,t)=f(x+ct)u(x, t) = f(x + ct)1.

Methodological Innovations and Analytical Tools

Several methodological contributions distinguish this work:

  • Dynamical systems reduction: The phase plane for traveling wave ODEs is carefully analyzed, with nontrivial geometric and topological arguments to identify critical trajectories.
  • Invariant region and comparison arguments: The construction of positively invariant sets and the use of sub- and supersolutions facilitate rigorous identification of the critical velocity and threshold coefficient.
  • Explicit connection with pushed/pulled fronts: The threshold u(x,t)=f(x+ct)u(x, t) = f(x + ct)2 plays an analogous role to the pushed-pulled transition in front propagation, although here the selection mechanism is genuinely nonlinear and convection-driven.
  • Self-map for phase-plane equivalence: A transformation between parameter sets yields a topological equivalence, elucidating further parameter regimes with explicit or improved estimates for u(x,t)=f(x+ct)u(x, t) = f(x + ct)3.

Implications and Perspectives

From a theoretical viewpoint, these results challenge the universality of vanishing in competitive reaction-diffusion-convection systems by showing that convection can effect a qualitative regime shift in population, combustion, or chemical systems. The emergence of a non-algebraic, system-dependent selection mechanism for critical speed underscores the complexity introduced by nonlinear convection and higher-order exponents.

Practically, the characterization of u(x,t)=f(x+ct)u(x, t) = f(x + ct)4 provides a parametric guideline for controlling regime transitions in engineered and natural systems subject to reaction, absorption, and transport. Computational demonstrations highlight the theoretical findings and provide benchmarks for future simulation studies in nonlinear pattern formation and wavefront propagation.

Conclusion

This paper achieves a comprehensive characterization of the long-time dichotomy in the generalized Burgers-Fisher-KPP equation with nonlinear convection, revealing that the fate of solutions (extinction vs. invasion) hinges on a delicate balance of diffusion, reaction, and convection, as captured by a critical velocity and threshold parameter. The analytical and methodological advances, such as explicit construction of critical trajectories and the invariant-phase-plane framework, enrich the understanding of nonlinear wave selection and should inform further research in nonlinear PDEs with complex transport and reaction mechanisms (2604.22108).

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