We determine the asymptotic spreading speed of the solutions of a Fisher-KPP reaction-diffusion equation, starting from compactly supported initial data, when the diffusion coefficient is a fixed bounded monotone profile that is shifted at a given forcing speed and satisfies a general uniform ellipticity condition. Depending on the monotonicity of the profile, we are able to characterize this spreading speed as a function of the forcing speed and the two linear spreading speeds associated to the asymptotic problems at $ x = \pm \infty $. Most notably, when the profile of the diffusion coefficient is increasing we show that there is an intermediate range for the forcing speed where spreading actually occurs at a speed which is larger than the linear speed associated with the homogeneous state around the position of the front. We complement our study with the construction of strictly monotone traveling front solutions with strong exponential decay near the unstable state when the profile of the diffusion coefficient is decreasing and in the regime where the forcing speed is precisely the selected spreading speed.
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Figure 2. Numerically computed spreading speed $ c_u^* $ (pink circles) as a function of $ c_{het} $ for Case (I) (left) and Case (II) (right). The purple plain line is the theoretical spreading speed provided by Theorem 2.1 and Theorem 2.3. In both cases parameters are fixed with $ \alpha = 1 $, $ d_+ = 1 $ and $ d_- = 1/4 $, such that the corresponding linear speeds are $ c_+ = 2 $ and $ c_- = 1 $. The function $ \chi $ was set to $ \chi(x) = \frac{d_+ e^{-\lambda x} + d_-}{1+e^{-\lambda x}} $ in Case (I) and to $ \chi(x) = \frac{d_- e^{-\lambda x} + d_+}{1+e^{-\lambda x}} $ in Case (II) with $ \lambda = 2 $. Numerical simulations were performed by discretizing equation (1) via finite differences in space and a semi-implicit scheme in time. Typical discretization step sizes were set to $ \delta t = 0.02 $ in time and $ \delta x = 0.02 $ in
Figure 3. Numerically computed spreading speed $ c_u^* $ (pink circles) as a function of $ c_{het} $ for Case (II) in the degenerate case where $ d_- = 0 $. The purple plain line is the curve $ c_{het}\mapsto \frac{4 d_+ \alpha}{c_{het}} $ obtained by formally taking the limit $ d_- = 0 $ in Theorem 2.3. Other parameters are fixed with $ \alpha = 1 $ and $ d_+ = 1 $, such that the corresponding linear speed is $ c_+ = 2 $. The function $ \chi $ was set to $ \chi(x) = \frac{d_+}{1+e^{-\lambda x}} $ with $ \lambda = 2 $
Figure 4. Illustration of the building block of the general sub-solution (10) (before its scaling by $ \epsilon $) which is composed of two parts $ \rho \Psi_+ $ (pink curve) and $ \Psi_- $ (blue curve) in the moving frame $ z = x-ct $. It is of class $ \mathscr{C}^2 $ and compactly supported on $ \left[-\frac{\pi}{2\omega}-z_+^*,\frac{\pi}{2\beta}-z_-^*\right] $
Figure 5. Sketch of the super-solution $ u_\tau(t,x) $ given in Lemma 5.1 with $ C = 1 $ which is composed of three parts: it is constant and equal to $ 1 $ for $ x\leq ct-\tau $ (gray curve), and then it is the concatenation of two exponentials (blue and pink curves) for $ x\geq ct-\tau $ which are glued at $ x = c_{het}t-\tau $. Note that the factor $ \rho(t) $ is to ensure continuity between the two exponentials
Figure 6. Sketch of the sub-solution given in Proposition 2 which is the concatenation of the sub-solution $ \underline{u}_{1,\tau}(x-ct) $ given in Lemma 5.2 (composed of the difference of two exponentials) and the function $ {\varphi}_{\lambda_\star-\epsilon} $ which solves $ \mathcal{L} \varphi = (\lambda_\star-\epsilon)\varphi $ with prescribed asymptotic behavior at $ -\infty $. Note that the factor $ \rho(t) $ is to ensure continuity at the matching point $ x = c_{het}t-\tau/2 $
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Illustration of
Numerically computed spreading speed
Numerically computed spreading speed
Illustration of the building block of the general sub-solution (10) (before its scaling by
Sketch of the super-solution
Sketch of the sub-solution given in Proposition 2 which is the concatenation of the sub-solution