The sub-supertrajectory method. Application to the nonautonomous competition Lotka-Volterra model
Abstract
In this paper we study in detail the pullback and forwards attractions to non-autonomous competition Lotka-Volterra system. In particular, under some conditions on the parameters, we prove the existence of a unique non-degenerate global solution for these models, which attracts any other complete bounded trajectory. For that we present the sub-supertrajectory tool as a generalization of the now Classical subsupersolution method.
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Bol. So . Esp. Mat. Apl. n o 51(2010), 9199 THE SUB-SUPERTRAJECTORY METHOD. APPLICATION TO THE NONAUTONOMOUS COMPETITION LOTKA-VOLTERRA MODEL J.A. LANGA ∗ , A. RODRíGUEZ-BERNAL ‡ AND A. SUÁREZ † ∗† Dpto. EDAN, University of Sevilla Aptdo. 1160, 41080 SEVILLA ‡ Departamento de Matemátia Apliada, Universidad Complutense de Madrid, 28040, Instituto de Cienias Matemátias CSIC-UAM-UC3M-UCM, MADRID langaus.es arobermat.um.es suarezus.es Abstrat In this pap er we study in detail the pullbak and forwards attrations to non-autonomous omp etition Lotka-Volterra system. In partiular, under some onditions on the parameters, we prove the existene of a unique non-degenerate global solution for these mo dels, whih attrats any other omplete b ounded tra jetory. For that we present the sub-sup ertra jetory to ol as a generalization of the now lassial subsup ersolution method. Key words: Sub-supertrajetory method, Lotka-Volterra ompetition system, attrating omplete trajetories. AMS sub jet lassiations: 35B40, 35K55, 92D25, 37L05. 1 Intro dution In this pap er we ollet some results from [6℄ and [7℄ to analyze the asymptoti dynamis of the following non-autonomous Lotka-Volterra omp etition mo del ut−∆u=u(λ(t, x)−a(t, x)u−b(t, x)v)x∈Ω, t > s vt−∆v=v(µ(t, x)−c(t, x)u−d(t, x)v)x∈Ω, t > s u=v= 0 x∈∂Ω, t > s u(s) = us, v(s) = vs. (1) ∗ Partly supp orted by grants MTM2008-0088, HF2008-0039 and PHB2006-003PC. † Partly supp orted by grant MTM2006-07932. ‡ Partly supp orted by grants MTM2006-08262, CCG07-UCM/ESP-2393 UCM-CAM Grup o de Investigaión CADEDIF and PHB2006-003PC. 91
92 J.A. Langa, A. Rodríguez-Bernal, A. Suárez Here, u and v represent the population densities of two speies within a habitat Ω, a b ounded and smo oth domain in IRN , N≥1 , whih omp ete in the habitat. λ, µ are the growth rates of the sp eies, b, c are the interation rates b etween the sp eies, a, d desrib e the limiting eets of rowding in eah population. We are assuming that Ω is fully surrounded by inhospitable areas, sine the population densities are sub jet to homogeneous Dirihlet boundary onditions. us, vs are regular and positive funtions whih implies that the solution of (1) satises u, v ≥0 . In this work we are interested in determining the asymptoti b ehaviour of solutions of the system (1). This is a very ompliated task, and only partial results are known. For example in the autonomous ase (all the oeients in (1) are onstants) and denoting by Λ0 the prinipal eigenvalue asso iated to −∆ , then if λ or µ≤Λ0 , then one of the two sp eies (or both of them) will b e driven to extintion. However, there exist two inreasing maps F, G : [Λ0,∞)7→ IR suh that if λ > G(µ) and µ > F(λ), then (1) is p ermanent and moreover there exists a positive equilibrium solution (see Cantrell et al. [2℄ and Lóp ez-Gómez [9℄). When non-autonomous terms are allowed in the equations, this is usually done under the assumption of p erio diity, quasip erio diity or almost p erio diity, and in this ase similar results an be obtained to those for autonomous equations (see Hess [4℄, Hetzer and Shen [5℄ and referenes there in). Cantrell and Cosner [1℄ assume general non-autonomous terms that are b ounded by p erio di funtions, and using a omparison metho d give onditions on λ and µ that guarantee that (1) is p ermanent. In [6℄ we show that, under a smallness ondition on the oupling oeients bc , if there exists a b ounded and b ounded away from zero omplete tra jetories of (1), it is the unique suh tra jetory, and it also desrib es the unique pullbak and forwards attrating for (1), i.e. (u∗, v∗) is a b ounded tra jetory suh that, for any s∈IR and for any p ositive solution (u(t, s), v(t, s)) of (1) dened for t > s , one has (u(t, s)−u∗(t), v(t, s)−v∗(t)) →(0,0) as t→ ∞, or s→ −∞. (2) In this work (see [7℄) we show that this tra jetory really exists. To this end we introdue the sub-sup ertra jetory method as a to ol to get existene of intermediate omplete tra jetories asso iated to (1). Note that our onstrution is indep endent of whether or not (1) has monotoniity prop erties. Note also that the usual way in previous works (for instane [6℄, [11℄) to get existene of omplete tra jetories assoiated to a partiular system is by means of the pullbak attrator. The sub-sup ertra jetory metho d adopts a dierent and, in this ase, more fruitful strategy. Moreover, we also get the existene of minimal and maximal global b ounded tra jetories asso iated to ordered systems. In Setion 2 we present the sub-sup ertra jetory to ol, Setion 3 is devoted to the logisti equation whih app ears when one sp eies is absent. Finally, in Setion 4 we show the results of system (1).
Non-autonomous Lotka-Volterra ompetition model 93 2 The sub-sup ertra jetory metho d for omplete solutions Consider the general problem ut−∆u=f(t, x, u, v)x∈Ω, t > s vt−∆v=g(t, x, u, v)x∈Ω, t > s u=v= 0 x∈∂Ω, t > s u(s) = us, v(s) = vs, (3) where f, g are bounded on b ounded sets of IR ×Ω×IR2 and are lo ally Hölder ontinuous in time. We denote the solutions of (3) as u(t, s;us, vs), v(t, s;us, vs), for t > s. Denition 1 A pair of funtions (u, v)∈C1,2 t,x (IR ×Ω) is a omplete trajetory of (3), if for al l s < t in IR , (u(t), v(t)) is the solution of (3) with initial data us=u(s) , vs=v(s) . Denition 2 A positive funtion u(t, x) is nondegenerate at ∞ (respetively −∞ ) if there exists t0∈IR suh that u is dened in [t0,∞) (respetively (−∞, t0] ) and there exists a C1 0(Ω) funtion ϕ0(x)>0 in Ω , suh that for al l x∈Ω , u(t, x)≥ϕ0(x) for al l t≥t0 (respetively for al l t≤t0 ). The use of sub-sup ertrajetory pairs to onstrut omplete solutions an be found in Chueshov [3℄ or Langa and Suárez [8℄. Both referenes use monotoniity prop erties of the equations, see Corollaries 2 and 3 b elow. In partiular this applies to salar equations. Here we use similar ideas to onstrut bounded omplete tra jetories, without suh monotoniity assumptions. Given T0≤ ∞ and two funtions w, z ∈C((−∞, T0)×Ω) with w≤z we denote [w, z] := {u∈C((−∞, T0)×Ω) : w≤u≤z}. Now we introdue the onept of omplete sub-sup ertra jetory pair. Denition 3 Let T0≤ ∞ and (u, v),(u, v)∈ X =C1,2 t,x ((−∞, T0)×Ω) . We say that (u, v)−(u, v) is a omplete sub-supertrajetory pair of (3) if 1. u(t)≤u(t) and v(t)≤v(t) in Ω , for al l t < T0 . 2. u≤0≤u and v≤0≤v on ∂Ω , for al l t < T0 . 3. For al l x∈Ω , t < T0 ut−∆u−f(t, x, u, v)≤0≤ut−∆u−f(t, x, u, v),∀v∈[v, v], vt−∆v−g(t, x, u, v)≤0≤vt−∆v−g(t, x, u, v),∀u∈[u, u]. Note that the onept of a sub-supersolution pair, dened for t > s , has b een widely used and developed, see e.g. Pao [10℄, to onstrut solutions for the initial value problem (3). The main result of this setion is:
94 J.A. Langa, A. Rodríguez-Bernal, A. Suárez Theorem 1 Assume that there exists a omplete sub-supertrajetory pair of (3), (u, v)−(u, v) , in the sense of Denition 3. Moreover, assume u , v , u and v are bounded at −∞ . Then, there exists a omplete trajetory (u∗, v∗)∈ X of (3) suh that (u∗, v∗)∈ I := [u, u]×[v, v]. When f and g have some monotoniity properties, we an go further: Corollary 2 Under the assumptions of Theorem 1, assume moreover that f is inreasing in v and g in u . Then, there exist two omplete trajetories (u∗, v∗) and (u∗, v∗) of (3) with (u∗, v∗),(u∗, v∗)∈ I := [u, u]×[v, v] suh that they are minimal and maximal in I in the fol lowing sense: for any other omplete trajetory (u, v)∈ I we have: u(t)≤u∗(t)≤u(t)≤u∗(t)≤u(t), v(t)≤v∗(t)≤v(t)≤v∗(t)≤v(t), for al l t < T0 . (4) Corollary 3 Under the assumptions of Theorem 1, assume moreover that f is dereasing in v and g in u . Then, there exist two omplete trajetories (u∗, v∗) and (u∗, v∗) of (3) with (u∗, v∗),(u∗, v∗)∈ I := [u, u]×[v, v] and suh that they are minimal-maximal and maximal-minimal in the fol lowing sense: for any other omplete trajetory (u, v)∈ I we have: u(t)≤u∗(t)≤u(t)≤u∗(t)≤u(t), v(t)≤v∗(t)≤v(t)≤v∗(t)≤v(t), for al l t < T0 . (5) 3 The non-autonomous logisti equation Note that (1) always admits semi-trivial tra jetories of the form (u, 0) or (0, v) . In this ase, when one speies is not present, the other one satises the logisti equation ut−∆u=h(t, x)u−g(t, x)u2 in Ω, t > s u= 0 on ∂Ω , u(s) = us≥0 in Ω . (6) It is well known that if hM:= sup Q h(t, x)<∞ and gL:= inf Q g(t, x)>0, (7) then, for every non-trivial us∈C(Ω) , us≥0 , there exists a unique p ositive solution of (6) denoted by Θ[h,g](t, s;us) . On the other hand, for m∈L∞(Ω) we denote by Λ(m) , the rst eigenvalue of −∆u=λu +m(x)u in Ω , u= 0 on ∂Ω . In partiular, we denote by Λ0:= Λ(0) . It is well known that Λ(m) is a simple eigenvalue with a p ositive eigenfuntion, and a ontinuous and dereasing funtion of m .
Non-autonomous Lotka-Volterra ompetition model 95 Finally, for h, g ∈L∞(Ω) with gL:= inf{g(x), x ∈Ω}>0 onsider the ellipti equation −∆u=h(x)u−g(x)u2 in Ω , u= 0 on ∂Ω . (8) It is well known that (8) p ossesses a unique p ositive solution if, and only if, Λ(h)<0 , whih we denote by ω[h,g](x) . In the following result (see [12℄, [11℄ and [7℄ for a omplete study of (6)) we show the existene and properties of a omplete nonnegative tra jetory for (6). For this we will assume heneforth that h(t, x) and g(t, x) satisfy (7) and there exist bounded funtions h± 0(x) and H± 0(x) dened in Ω suh that lim sup t→±∞ sup x∈Ωh(t, x)−H± 0(x)≤0,0≤lim inf t→±∞ inf x∈Ωh(t, x)−h± 0(x). (9) Prop osition 4 Assume (7) and (9). Then: i) There exists a maximal bounded omplete trajetory, denoted by ϕ[h,g](t) , of (6), in the sense that, for any other non-negative omplete bounded trajetory ξ(t) of (6) we have 0≤ξ(t)≤ϕ[h,g](t), t ∈IR. Moreover, if ϕ[h,g](t, x) is nondegenerate at −∞ then it is the only one of suh solutions. ii) If Λ(H− 0)>0 , then ϕ[h,g](t) = 0 for al l t∈IR . Therefore al l non-negative solutions of (6) onverge to 0 , uniformly in Ω , in the pul lbak sense. iii) If Λ(h− 0)<0 then ϕ[h,g] is the unique omplete bounded and non-degenerate trajetory at −∞ of (6), and for t in ompat sets of IR , if s7→ us≥0 is bounded and non-degenerate, then Θ[h,g](t, s;us)−ϕ[h,g](t)→0 as s→ −∞ uniformly in Ω . iv) If Λ(H+ 0)>0 , then for al l us∈C(Ω) , us≥0 , the positive solution of (6) satises Θ[h,g](t, s;us)→0 uniformly in Ω as t→ ∞ . In partiular, ϕ[h,g](t)→0 uniformly in Ω as t→ ∞ . v) If Λ(h+ 0)<0 and ϕ[h,g]6= 0 , then ϕ[h,g] is non-degenerate at ∞ and for any s and any non-trivial initial data us≥0 , Θ[h,g](t, s;us)−ϕ[h,g](t)→0 in C1(Ω) as t→ ∞. 4 Appliations to the Lotka-Volterra omp etition mo del We assume from now on that λ, µ ∈IR and aL, dL, bL, cL>0. (10) We will assume that there exist quantities a± I≤a± S , b± I≤b± S , c± I≤c± S and d± I≤d± S suh that 0< a± I≤a(t, x)≤a± S,0< b± I≤b(t, x)≤b± S, 0< c± I≤c(t, x)≤c± S,0< d± I≤d(t, x)≤d± S, (11)
96 J.A. Langa, A. Rodríguez-Bernal, A. Suárez for all x∈Ω and for all t≥t0 or t≤t0 . In the following result we show the existene of a omplete tra jetory of (1). Prop osition 5 (Comp etitive ase) There exists a omplete trajetory (u∗, v∗) of (1) with ϕ[λ−bϕ[µ,d],a](t)≤u∗(t)≤ϕ[λ,a](t), ϕ[µ−cϕ[λ,a],d](t)≤v∗(t)≤ϕ[µ,d](t), t ∈IR. Moreover, if (11) is satised for very negative t and λ > Λ(−b− Sω[µ,d− I]) and µ > Λ(−c− Sω[λ,a− I]), (12) then (u∗, v∗) is non-degenerate at −∞ . If moreover (11) is satised for large and very negative t , (12) and λ > Λ(−b+ Sω[µ,d+ I]) and µ > Λ(−c+ Sω[λ,a+ I]) (13) holds, then (u∗, v∗) is non-degenerate at ∞ . Proof . Note that in this ase f is dereasing in v and g in u . It is enough to take (u, u) = (ϕ[λ−bϕ[µ,d],a], ϕ[λ,a]) and (v, v) = (ϕ[µ−cϕ[λ,a],d], ϕ[µ,d]). Moreover, if λ and µ satisfy (12), resp. (13), then by Proposition 6 we obtain that u and v are non-degenerate at −∞ , resp. +∞ . Now, we an summarize the results for the system (1). Theorem 6 (Comp etitive ase) 1. If λ < Λ0 and µ < Λ0 lim s→−∞(u(t, s;us, vs), v(t, s;us, vs)) = lim t→∞(u(t, s;us, vs), v(t, s;us, vs)) = (0,0). 2. If λ < Λ0 and µ > Λ0 , then lim t→∞u(t, s;us, vs) = 0, and for every nonnegative nontrivial ˜vs we have lim t→∞v(t, s;us, vs)−Θ[µ,d](t, s; ˜vs)= lim t→∞v(t, s;us, vs)−ϕ[µ,d](t)= 0. 3. If λ > Λ0 and µ < Λ0 , then lim t→∞v(t, s;us, vs) = 0, and for every nonnegative nontrivial ˜vs we have lim t→∞u(t, s;us, vs)−Θ[λ,a](t, s; ˜vs)= lim t→∞u(t, s;us, vs)−ϕ[λ,a](t)= 0.
Non-autonomous Lotka-Volterra ompetition model 97 4. If λ > Λ(−b− Sω[µ,d− I]) and µ > Λ(−c− Sω[λ,a− I]), (14) there exists a omplete bounded non-degenerate at −∞ trajetory of (1) (u∗(t), v∗(t)) . Moreover, if b or c are smal l at −∞ , that is, lim sup t→−∞ kbkL∞(Ω) lim sup t→−∞ kckL∞(Ω) < ρ0 for some suitable onstant ρ0>0 , then this is the unique bounded nondegenerate at −∞ trajetory of (1) and it is pul lbak attrating, that is lim s→−∞(u(t, s;us, vs)−u∗(s), v(t, s;us, vs)−v∗(s)) = (0,0). If moreover λ > Λ(−b+ Sω[µ,d+ I]) and µ > Λ(−c+ Sω[λ,a+ I]), (15) then (u(t, s;us, vs), v(t, s;us, vs)) is non-degenerate at ∞ . If additional ly b or c are smal l at ∞ , that is, lim sup t→∞ kbkL∞(Ω) lim sup t→∞ kckL∞(Ω) < ρ0 for some suitable onstant ρ0>0 , then al l solutions of (1) have the same asymptoti behavior as t→ ∞ . If (14) is also satised, then (u∗(t), v∗(t)) is non-degenerate at ∞ and it is also forwards attrating, that is, lim t→∞(u(t, s;us, vs)−u∗(t), v(t, s;us, vs)−v∗(t)) = (0,0). Remark 1 Similar results an be presented for the prey-predator and symbiosis ases. In Figure 1 we desrib e the asymptoti dynamial regimes (pullbak -Case a)- and forwards -Case b)) when λ and µ are onstant funtions. Region A: extintion of b oth sp eies; Regions B and C: stability of semitrivial omplete tra jetories; Regions DP and DF : p ermanene regions (existene of global nondegenerate global solutions). The limiting urves are given in (14) and (15). Referenes [1℄ R. S. Cantrell and C. Cosner, Pratial p ersistene in eologial mo dels via omparison metho ds, Pro . Royal So . Edin., 126A (1996) 247-272. [2℄ R. S. Cantrell and C. Cosner, Spatial Eology via Reation-Diusion Equations, John Wiley & Sons. Ltd. 2003. [3℄ I. Chueshov, Monotone random systems theory and appliations. Leture Notes in Mathematis, 1779. Springer-Verlag, Berlin, 2002.
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