Componentwise localization of positive periodic solutions for a general Bazykin-type system

Abstract

In this paper, we present a new hybrid fixed point theorem for systems. Our approach yields a solution with nontrivial components lying on a Nehari-type manifold, whose second component is localized in an annular conical set. We establish two main results. In the first, the localization of the second component is obtained via the fixed point index and lies in a set determined by a norm and a seminorm, while the second result uses a geometric approach in the spirit of Krasnosel’skiĭ, ensuring that the norm of the second component belongs to a prescribed interval. For each of these results, we provide an application.

Authors

Andra Malina
Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy, Romania
Department of Mathematics, Babes-Bolyai University, Cluj-Napoca, Romania

Andrei Stan
Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy, Romania
Department of Mathematics, Babes-Bolyai University, Cluj-Napoca, Romania

Keywords

Bazykin model, Localized solution, Periodic solution

Paper coordinates

Malina, A., Stan, A. Componentwise localization of positive periodic solutions for a general Bazykin-type system. Nonlinear Anal. Real World Appl. 94, 104701 (2027). https://doi.org/10.1016/j.nonrwa.2026.104701

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Componentwise localization of positive periodic solutions for a general Bazykin-type system

Componentwise localization of positive periodic solutions for a general Bazykin-type system

Andra Malina Email: andra.malina@ubbcluj.ro    Andrei Stan Affiliation:  Email: andrei.stan@ubbcluj.ro Affiliation: 
Abstract

In the present paper, we consider a general Bazykin-type model that describes the interaction of two populations. We provide sufficient conditions for the existence of a positive periodic solution where each population is localized independently within a distinct conical annular region. We illustrate how our conditions can be verified for certain particular cases and support these results with numerical simulations.

keywords
Bazykin model, localized solution, periodic solution

1 Introduction and Preliminaries

The interaction between two species (e.g., predator-prey interaction) is commonly described by Lotka–Volterra models (see [1] for a survey). Autonomous variants of such models are often formulated as Kolmogorov-type systems of the form (see [2, Section 5])

{u′=u⁢F⁢(u,v),v′=v⁢G⁢(u,v),

which describe, for instance, the case of species in competition with respect to other populations (an increase in the size of either population tends to decrease the growth rate of the other),

Fy⁢(x,y)<0,Gx⁢(x,y)<0,

or with respect to itself (an increase in the size of either population inhibits its own growth rate), that is,

Fx⁢(x,y)<0,Gy⁢(x,y)<0.

Other models describing predator–prey interactions were proposed in the work of A. Bazykin (see, e.g., [3, 4, 5]). These models capture various behavioral scenarios of prey and predators, such as predator saturation, predator competition for resources (other than prey), nonlinear predation, and competition among prey. We recall below two of these models:

(a)⁢{u′=a⁢u−b⁢u⁢v(1+A⁢u)⁢(1+B⁢v),v′=−c⁢v+d⁢u⁢v(1+A⁢u)⁢(1+B⁢v),
(b)⁢{u′=a⁢u−b⁢u⁢v(1+A⁢u)⁢(1+B⁢v),v′=−c⁢v+d⁢u⁢v(1+A⁢u)⁢(1+B⁢v)−δ⁢v2.

In models describing population dynamics, it is appropriate to replace the coefficients with periodic time-dependent functions, since such a modification captures repetitive external influences on the population, such as weather, food supply, or hunting (see [6]), and naturally leads to the search for periodic solutions. The existence of positive periodic solutions has been extensively studied in the literature for such models (see, e.g., [7, 8, 9, 10, 11, 12, 13, 14]). In particular, we mention the works [12, 13, 14], where localized positive periodic solutions are obtained.

For any domain 𝒟, let

Cω(ℝ×𝒟,ℝ):={u∈C(ℝ×𝒟,ℝ):u(⋅,x)is ω-periodic for each x∈𝒟}

denote the space of continuous ω-periodic real-valued functions defined on 𝒟.

We consider the following general non-autonomous Bazykin-type system:

{u′=μ⁡(t)⁢u⁢ϱ⁢(t,u,v)−f⁡(t,u)−φ⁡(t,u,v)⁢u⁢v,v′=−η⁡(t)⁢v−g⁡(t,v)+ϕ⁡(t)⁢φ⁢(t,u,v)⁢u⁢v, (1)

where ω>0 is fixed, ϱ,φ∈Cω⁢(ℝ×ℝ+×ℝ+,ℝ+), f,g∈Cω⁢(ℝ×ℝ+,ℝ+), and μ,η,ϕ∈Cω⁢(ℝ,ℝ+) satisfy

∫0ωμ⁡(τ)⁢𝑑τ>0,∫0ωη⁡(τ)⁢𝑑τ>0.

Our main purpose is to provide sufficient conditions for the existence of a positive ω-periodic solution (u,v) to problem (1) such that

r1≤‖u‖≤R1andr2≤‖v‖≤R2,

where 0<ri<Ri<∞, i=1,2, are given constants, and

‖w‖:=maxt∈[0,ω]⁡|w⁡(t)|(w∈Cω⁢(ℝ,ℝ)).

The novelty of this paper is twofold. On the one hand, the localization of the solution is componentwise, that is, each component lies within a distinct conical annular region. We emphasize that in [14] (or [12]), the localization of a solution (u,v) is performed with respect to the pair (u,v), i.e., the solution satisfies r≤‖u‖+‖v‖≤R. On the other hand, the proposed model (1) encompasses both the system considered in [14] and the models introduced by Bazykin (e.g., models (a), (b)), while the system considered in [14] does not cover certain Bazykin-type models, for instance those involving quadratic terms.

We conclude this section with a fixed point result for operators defined on the Cartesian product of two Banach spaces, which will be crucial for establishing our localization result. For i=1,2, let (Xi,|⋅|i) be Banach spaces and let Ki⊂Xi be cones. Additionally, let r=(r1,r2),R=(R1,R2)∈ℝ2 with 0<ri<Ri, i=1,2, and define the conical annular set

Kr⁢R:={(u,v)∈K1×K2:r1<|u|1<R1,r2<|v|2<R2}.

The following variant of Krasnosel’skiĭ’s fixed point theorem in cones was proved in [15, Theorem 3.1] (see also [16]). Since only the compressive–compressive case is needed in this paper, we state only this version and refer the reader to the above references for the remaining cases.

Theorem 1.

Let 𝒯=(T1,T2):K¯r,R→K1×K2 be a compact mapping. If the operator T1 is compressive in the first variable and T2 is compressive in the second one on K¯r,R, that is,

  1. (A)
    1. (i)

      |T1⁢(u,v)|1≥|u|1 if |u|1=r1;

    2. (ii)

      |T1⁢(u,v)|1≤|u|1 if |u|1=R1;

  2. (B)
    1. (i)

      |T2⁢(u,v)|2≥|v|2 if |v|2=r2;

    2. (ii)

      |T2⁢(u,v)|2≤|v|2 if |v|2=R2,

then 𝒯 has at least one fixed point (u,v)∈K¯r,R .

Instead of applying Theorem 1 to obtain our localization result, one may employ other fixed point techniques, such as those from [17, 18, 19].

2 Main results

Let 0<ri<Ri<∞, i=1,2, be given positive real numbers, and set r=(r1,r2) and R=(R1,R2). In order to obtain a componentwise localized solution to problem (1), we apply Theorem 1. To this end, it is necessary to rewrite (1) as a fixed point problem, and for this purpose, we need the following auxiliary result.

Lemma 2.

Let a,h∈C⁡(ℝ,ℝ) be ω-periodic functions such that

∫0ωa⁡(τ)⁢𝑑τ>0.

Then the equation

u′⁢(t)−a⁡(t)⁢u⁢(t)=h⁡(t),t∈ℝ, (2)

has a unique ω-periodic solution given by

u⁡(t)=∫tt+ωH⁡(t,s)⁢(−h⁡(s))⁢𝑑s,

where

H⁡(t,s)=e−∫tsa(τ)dτ1−e−∫0ωa(τ)dτ>0.
Proof.

Equation (2) is clearly equivalent to

(u⁡(t)⁢ρ⁢(t))′=ρ⁡(t)⁢h⁢(t),

which implies

u⁡(t)⁢ρ⁢(t)=u⁡(0)+∫0tρ⁡(s)⁢h⁢(s)⁢𝑑s, (3)

where we denoted

ρ(t)=e−∫0ta(τ)dτ.

Since we are looking for ω periodic solutions, one needs u⁡(t+ω)=u⁡(t) for all t∈ℝ. Thus, by (3) and using that ρ⁡(t+ω)=ρ⁡(t)⁢ρ⁢(ω), we obtain

∫tt+ωρ⁡(s)⁢h⁢(s)⁢𝑑s=u⁡(t+ω)⁢ρ⁢(t+ω)−u⁡(t)⁢ρ⁢(t)=u⁡(t)⁢ρ⁢(t)⁢(ρ⁡(ω)−1),

that is,

u⁡(t)=∫tt+ωρ⁢(t)−1⁢ρ⁢(s)ρ⁡(ω)−1⁢h⁢(s)⁢𝑑s=∫tt+ωH⁡(t,s)⁢(−h⁡(s))⁢𝑑s.

∎

Next, let us consider the functions

ℱ1⁢(t,x,y) :=μ⁡(t)⁢x⁢(1−ϱ⁡(t,x,y))+f⁡(t,x)+φ⁡(t,x,y)⁢x⁢y,
ℱ2⁢(t,x,y) :=−g⁡(t,y)+ϕ⁡(t)⁢φ⁢(t,x,y)⁢x⁢y,

and observe that by Lemma 2 (see also [20]), our problem (1) can be written equivalently as a fixed point equation

(u,v)=(N1⁢(u,v),N2⁢(u,v)), (4)

where

Ni(u,v)(t)=∫tt+ωHi(t,s)ℱi(s,u(s),v(s))ds,t∈ℝ,(i=1,2), (5)

and

H1(t,s)=e−∫tsμ(τ)dτ1−e−∫0ωμ(τ)dτ>0,H2(t,s)=e∫tsη⁡(τ)⁢𝑑τe∫0ωη⁡(τ)⁢𝑑τ−1>0,t,s∈ℝ.

Additionally, we introduce the constants

mi :=min{Hi(t,s):t∈[0,ω],s∈[t,t+ω]}>0, (6)
Mi :=max{Hi(t,s):t∈[0,ω],s∈[t,t+ω]}>0, (7)
Ci :=miMi∈(0,1), (8)

and observe that

m1=1e∫0ωμ⁡(τ)⁢𝑑τ−1,M1=11−e−∫0ωμ(τ)dτ, (9)
m2=1e∫0ωη⁡(τ)⁢𝑑τ−1,M2=11−e−∫0ωη(τ)dτ,
C1=e−∫0ωμ(τ)dτ,C2=e−∫0ωη(τ)dτ.

Let K0 be the cone of nonnegative functions in Cω⁢(ℝ,ℝ), define the subcones Ki of K0 by

Ki:={w∈K0:w(t)≥Ci∥w∥for all t∈ℝ},i=1,2, (10)

and set

(Ki)ri⁢Ri:={w∈Ki:ri<∥w∥<Ri},i=1,2,

and

Kr⁢R:=(K1)r1⁢R1×(K2)r2⁢R2.

Our first condition concerns the functions g, ϕ, ϱ,φ.

(H1)

One has,

ϱ⁡(t,x,y)≤1, (11)

and

ϕ⁡(t)⁢φ⁢(t,x,y)⁢x⁢y−g⁡(t,y)≥0, (12)

for all (t,x,y)∈ℝ×[C1⁢r1,R1]×[C2⁢r2,R2].

Under this condition, the following invariance result holds.

Lemma 3.

Let condition (H1) holds. Then, the image of the set K¯r⁢R under operators Ni is included in Ki, that is,

Ni(K¯r⁢R)⊂Ki,i=1,2.
Proof.

Let (u,v)∈K¯r⁢R. By the definition of the sets (Ki)ri⁢Ri, one has

C1⁢r1≤u⁡(t)≤R1,C2⁢r2≤v⁡(t)≤R2for all ⁢t∈ℝ.

Using now conditions (11) and (12), for any t∈ℝ, we have

1−ϱ⁡(t,u⁡(t),v⁡(t))≥0,

and

−g⁡(t,v⁡(t))+ϕ⁡(t)⁢φ⁢(t,u⁡(t),v⁡(t))⁢u⁢(t)⁢v⁢(t)≥0,

so ℱi⁢(t,u⁡(t),v⁡(t))≥0, i=1,2. Since the kernels Hi are positive, it follows that

Ni(u,v)∈K0,i=1,2.

Now, let us show that Ni⁢(u,v)∈Ki. To this end, set wi:=Ni⁢(u,v), and let ti∗∈[0,ω] be such that wi⁢(ti∗)=‖wi‖, for i=1,2. Then, we estimate,

wi⁢(t) =∫tt+ωHi⁢(t,s)⁢ℱi⁢(s,u⁡(s),v⁡(s))⁢𝑑s
≥mi⁢∫tt+ωℱi⁢(s,u⁡(s),v⁡(s))⁢𝑑s
=Ci⁢Mi⁢∫tt+ωℱi⁢(s,u⁡(s),v⁡(s))⁢𝑑s
≥Ci⁢∫tt+ωHi⁢(ti∗,s)⁢ℱi⁢(s,u⁡(s),v⁡(s))⁢𝑑s
=Ci⁢‖wi‖,

so wi∈Ki, as wished. ∎

Before we state and prove our main result, let us denote

h¯1⁢(t):=min(x,y)∈[C1⁢r1,r1]×[C2⁢r2,R2]⁡ℱ1⁢(t,x,y),
h¯1⁢(t):=max(x,y)∈[C1⁢R1,R1]×[C2⁢r2,R2]⁡ℱ1⁢(t,x,y),
h¯2⁢(t):=min(x,y)∈[C1⁢r1,R1]×[C2⁢r2,r2]⁡ℱ2⁢(t,x,y),
h¯2⁢(t):=max(x,y)∈[C1⁢r1,R1]×[C2⁢R2,R2]⁡ℱ2⁢(t,x,y),

and assume that the following conditions are satisfied:

(H2)

For i=1,2, one has

max⁡∫tt+ωt∈[0,ω]⁡Hi⁢(t,s)⁢h¯i⁢(s)⁢𝑑s≥ri, (13)
max⁡∫tt+ωt∈[0,ω]⁡Hi⁢(t,s)⁢h¯i⁢(s)⁢𝑑s≤Ri. (14)

Now we are ready to prove the main result of this paper.

Theorem 4.

Under conditions (H1)-(H2), problem (1) has at least one solution (u,v)∈K1×K2 such that

r1≤‖u‖≤R1and r2≤‖v‖≤R2.
Proof.

We apply Theorem 1 for Xi:=Cω⁢(ℝ,ℝ) i=1,2 and the cones Ki defined in (10).

By standard application of the Arzelà–Ascoli theorem, the operators Ni are completely continuous from X×X to X (see, e.g., [21]). Also, by Lemma 3, we see that

N⁡(K¯r⁢R)⊂K1×K2.

In what follows, we show that all the conditions in Theorem 1 hold.

Check of condition (A)(i). Let (u,v)∈K¯r⁢R with ‖u‖=r1. By the definition of Ki, i=1,2, for any t∈ℝ, we have

C1⁢r1≤u⁡(t)≤r1and C2⁢r2≤v⁡(t)≤R2,

which implies

ℱ1⁢(t,u⁡(t),v⁡(t))≥h¯1⁢(t).

Now, let t∗∈[0,ω] be such that

∫t∗t∗+ωH1⁢(t∗,s)⁢h¯1⁢(s)⁢𝑑s=max⁡∫tt+ωt∈[0,ω]⁡H1⁢(t,s)⁢h¯1⁢(s)⁢𝑑s.

Then, by (5) and condition (H2), one has

‖N1⁢(u,v)‖≥N1⁢(u,v)⁢(t∗)=∫t∗t∗+ωH1⁢(t∗,s)⁢ℱ1⁢(s,u⁡(s),v⁡(s))⁢𝑑s≥∫t∗t∗+ωH1⁢(t∗,s)⁢h¯1⁢(s)⁢𝑑s≥r1, (15)

as wished.

Check of condition (A)(ii). Let (u,v)∈K¯r⁢R satisfy ‖u‖=R1. Since

C1⁢R1≤u⁡(t)≤R1for all ⁢t∈ℝ,

one clearly has

ℱ1⁢(t,u⁡(t),v⁡(t))≤h¯1⁢(t)for all ⁢t∈ℝ.

Thus, for any t∈ℝ, we estimate

N1⁢(u,v)⁢(t) =∫tt+ωH1⁢(t,s)⁢ℱ1⁢(s,u⁡(s),v⁡(s))⁢𝑑s (16)
≤∫tt+ωH1⁢(t,s)⁢h¯1⁢(s)⁢𝑑s
≤max⁡∫ττ+ωτ∈[0,ω]⁡H1⁢(τ,s)⁢h¯1⁢(s)⁢𝑑s
≤R1,

where the latter inequality follows by the second condition in (H2) for i=1, so ‖N1⁢(u,v)‖≤R1.

Similar reasoning shows that conditions (B)(i) and (B)(ii) in Theorem 1 are also satisfied, so Theorem 1 applies and yields the conclusion. ∎

Remark 5.

The operators Ni may fail to map the entire cone K1×K2 into Ki, i=1,2. This can be seen already in model (b). Indeed, for elements from K2 with sufficiently large values, the function ℱ2 becomes negative. Therefore, in order to apply Theorem 1, one must restrict the domain so that its image under the operator N2 remains in the cone K2, as shown in Lemma 3 under condition (H1).

Instead of condition (H2), we may assume the following:

(H2)′

There exist continuous functions k¯i,k¯i and points t¯i∈[0,ω], i=1,2, such that

h¯i⁢(t)≥k¯i⁢(t),h¯i⁢(t)≤k¯i⁢(t)for all ⁢t∈ℝ,

and

∫t¯it¯i+ωHi⁢(t¯i,s)⁢k¯i⁢(s)⁢𝑑s≥ri,max⁡∫tt+ωt∈[0,ω]⁡Hi⁢(t,s)⁢k¯i⁢(s)⁢𝑑s≤Ri.
Theorem 6.

Suppose that conditions (H1) and (H2)’ hold. Then the problem (1) has at least one solution (u,v)∈K1×K2 such that

r1≤‖u‖≤R1and r2≤‖v‖≤R2.
Proof.

The proof follows the arguments of Theorem 4, with minor modifications at inequalities (15) and (16). Instead of (15), we estimate

‖N1⁢(u,v)‖ ≥∫t¯1t¯1+ωH1⁢(t¯1,s)⁢ℱ1⁢(s,u⁡(s),v⁡(s))⁢𝑑s
≥∫t¯1t¯1+ωH1⁢(t¯1,s)⁢h¯1⁢(s)⁢𝑑s
≥∫t¯1t¯1+ωH1⁢(t¯1,s)⁢k¯1⁢(s)⁢𝑑s
≥r1,

and instead of (16), for all t∈ℝ, we have

N1⁢(u,v)⁢(t) =∫tt+ωH1⁢(t,s)⁢ℱ1⁢(s,u⁡(s),v⁡(s))⁢𝑑s
≤∫tt+ωH1⁢(t,s)⁢h¯1⁢(s)⁢𝑑s
≤∫tt+ωH1⁢(t,s)⁢k¯1⁢(s)⁢𝑑s
≤max⁡∫tt+ωt∈[0,ω]⁡H1⁢(t,s)⁢k¯1⁢(s)⁢𝑑s
≤R1.

Since the same estimates hold for N2, the conclusion follows by Theorem 1. ∎

Based on the previous Theorem 6, we immediately derive the following corollary.

Corollary 7.

Assume that condition (H1) holds. Suppose, in addition, that there exist t¯1,t¯2∈[0,ω] such that

r1∫t¯1t¯1+ωH1⁢(t¯1,s)⁢𝑑s ≤ℱ1⁢(t,x,y)for all ⁢(t,x,y)∈[0,ω]×[C1⁢r1,r1]×[C2⁢r2,R2],
r2∫t¯2t¯2+ωH2⁢(t¯2,s)⁢𝑑s ≤ℱ2⁢(t,x,y)for all ⁢(t,x,y)∈[0,ω]×[C1⁢r1,R1]×[C2⁢r2,r2],

and for each i=1,2,

ℱi⁢(t,x,y)≤Rimax⁡∫ττ+ωτ∈[0,ω]⁡Hi⁢(τ,s)⁢𝑑s,for all ⁢(t,x,y)∈[0,ω]×[C1⁢r1,R1]×[C2⁢r2,R2].

Then problem (1) has at least one solution (u,v)∈K1×K2 satisfying

r1≤‖u‖≤R1andr2≤‖v‖≤R2.
Proof.

This follows from Theorem 6 with

k¯i:=mint∈[0,ω]⁡h¯i⁢(t)and k¯i:=maxt∈[0,ω]⁡h¯i⁢(t).

∎

If the functions ϱ, ϕ, f, and g satisfy suitable monotonicity properties, then the result below holds.

Corollary 8.

(Monotonicity conditions) Suppose that, for each t∈ℝ, the following monotonicity conditions hold:

(a)

The mappings (x,y)↦ϱ⁡(t,x,y) and (x,y)↦φ⁡(t,x,y) are nonincreasing and nondecreasing, respectively, with respect to both x and y on [C1⁢r1,R1]×[C2⁢r2,R2].

(b)

The mappings x↦f⁡(t,x) and y↦g⁡(t,y) are nondecreasing on [C1⁢r1,R1] and [C2⁢r2,R2], respectively.

Denote

k¯1(t)=μ(t)C1r1(1−ϱ(t,C1r1,C2r2)+f(t,C1r1)+C1C2r1r2φ(t,C1r1,C2r2),
k¯1(t)=μ(t)R1(1−ϱ(t,R1,R2)+f(t,R1)+R1R2φ(t,R1,R2),
k¯2⁢(t)=−g⁡(t,r2)+ϕ⁡(t)⁢C1⁢C2⁢r1⁢r2⁢φ⁢(t,C1⁢r1,C2⁢r2),
k¯2⁢(t)=−g⁡(t,C2⁢r2)+ϕ⁡(t)⁢R1⁢R2⁢φ⁢(t,R1,R2),

and suppose that conditions (13) and (14) hold with k¯i in place of h¯i and k¯i in place of h¯i (i=1,2). Then problem (1) has at least one positive solution (u,v)∈K1×K2 such that r1≤‖u‖≤R1 and r2≤‖v‖≤R2.

Since conditions (H1)–(H2) are imposed on intervals closely related to the considered cone, if they are satisfied on disjoint conical sets, then multiple solutions are obtained.

Theorem 9.

Let rij,Rij, j=1,…,m, i=1,2, be sequences of positive real numbers such that

0<ri1<Ri1<ri2<Ri2<⋯<rim<Rim<∞,

and assume that (H1)–(H2) hold for each pair rj=(r1j,r2j) and Rj=(R1j,R2j), j=1,…,m. Then problem (1) admits at least m distinct solutions (uj,vj)∈K1×K2 such that

r1j≤∥uj∥≤R1j,r2j≤∥vj∥≤R2j,j=1,…,m.

The conclusion of Theorem 4 can be strengthened by replacing condition (H2) with a stronger condition.

(H2)∗

For each i=1,2, one has

mi⁢∫0ωh¯i⁢(τ)⁢𝑑τ≥ri,Mi⁢∫0ωh¯i⁢(τ)⁢𝑑τ≤Ri,

where mi,Mi are given in (6).

Theorem 10.

Under conditions (H1) and (H2)∗, problem (1) has at least one solution (u,v)∈K1×K2 such that

r1≤mint∈ℝu(t),∥u∥≤R1,and r2≤mint∈ℝv(t),∥v∥≤R2.
Proof.

Clearly, condition (H2)∗ implies (H2), so by Theorem 4 there exists a fixed point (u,v)∈K¯r⁢R of the operator (N1,N2). On the other hand, for any t∈ℝ, we have

u⁡(t)=N1⁢(u,v)⁢(t)≥m1⁢∫tt+ωh¯1⁢(s)⁢𝑑s≥r1,
v⁡(t)=N2⁢(u,v)⁢(t)≥m2⁢∫tt+ωh¯2⁢(s)⁢𝑑s≥r2,

so our (stronger) conclusion follows. ∎

3 Examples and numerical simulations

3.1 Non-autonomous Bazykin models of type (a)

Let us consider the following generalized Bazykin model of type (a):

{u′=μ⁡(t)⁢u−φ⁡(t)⁢b1(1+A⁢u)⁢(1+B⁢v)⁢u⁢v,v′=−η⁡(t)⁢v+φ⁡(t)⁢b2(1+A⁢u)⁢(1+B⁢v)⁢u⁢v, (17)

where A,B,b1,b2>0 and μ,η,φ∈Cω⁢(ℝ,ℝ+) for some ω>0. In system (1), with a slight abuse of notation, this corresponds to

ϱ≡1,φ⁡(t,x,y)=φ⁡(t)⁢x⁢y(1+A⁢x)⁢(1+B⁢y),f≡0,g≡0,ϕ⁡(t)=b2b1.

One clearly has

ℱi(t,x,y)=biφ(t)x⁢y(1+A⁢x)⁢(1+B⁢y),i=1,2,

whence

h¯i(t)=biφ(t)C1⁢C2⁢r1⁢r2(1+A⁢C1⁢r1)⁢(1+B⁢C2⁢r2),h¯i(t)=biφ(t)R1⁢R2(1+A⁢R1)⁢(1+B⁢R2),i=1,2.

Theorem 6 yields the subsequent existence and localization result for problem (17).

Theorem 11.

Assume that, for i=1,2, one has

C1⁢C2⁢r1⁢r2⁢bi(1+A⁢C1⁢r1)⁢(1+B⁢C2⁢r2)⁢minτ∈[0,ω]⁡φ⁡(τ)⁢max⁡∫0ωt∈[0,ω]⁡Hi⁢(t,s)⁢𝑑s ≥ri, (18)
R1⁢R2⁢bi(1+A⁢R1)⁢(1+B⁢R2)⁢maxτ∈[0,ω]⁡φ⁡(τ)⁢max⁡∫0ωt∈[0,ω]⁡Hi⁢(t,s)⁢𝑑s ≤Ri. (19)

Then system (17) has at least one positive and ω periodic solution (u,v) such that

r1≤‖u‖≤R1andr2≤‖v‖≤R2.
Proof.

The conclusion is an immediate consequence of Corollary 7, since condition (H1) is automatically satisfied and (18)–(19) imply its hypotheses. ∎

Example 12.

In system (17), assume that μ≡η≡1. Then

m1=m2=1eω−1,M1=M2=eωeω−1,C1=C2=1eω,

and

max⁡∫tt+ωt∈[0,ω]⁡H1⁢(t,s)⁢𝑑s=max⁡∫tt+ωt∈[0,ω]⁡H2⁢(t,s)⁢𝑑s=1.

We choose A=B (to be specified later), set b1=b2=1, and, for simplicity, look for radii r1=r2 and R1=R2 such that inequalities (18)–(19) are satisfied, that is,

φ¯⁢(r1eω1+A⁢r1eω)2 ≥r1,and φ¯(R11+A⁢R1)2≤R1, (20)

where we denoted

φ¯:=minτ∈[0,ω]⁡φ⁡(τ),φ¯:=maxτ∈[0,ω]⁡φ⁡(τ).

Note that the second condition in (20) holds for R1 sufficiently large, since the left-hand side has a finite limit as R1→∞. The first inequality is equivalent to

r1eω⁢(φ¯⁢1eω⁢r1eω⁢1(1+A⁢r1eω)2−1)>0,

so it suffices to ensure positivity at some point of the function

γ⁡(x)=φ¯⁢1eω⁢x(1+A⁢x)2−1.

Clearly γ has a unique critical point at x0=1A, which is a maximum since

γ′′⁢(x0)=−φ¯⁢A8⁢1eω<0.

Therefore, the inequality

0<γ⁡(1A)=φ¯⁢14⁢A⁢eω−1

holds provided that

φ¯⁢14⁢A⁢eω−1>0,i.e.,A∈(0,φ¯⁢14⁢eω).

In particular, since

A<φ¯⁢14⁢eω<φ¯⁢14,

both inequalities in (20) are satisfied if we take

r1=eωAandR1=(≥)φ¯−2⁢A+φ¯2−4⁢A⁢φ¯2⁢A2. (21)

In the subsequent we choose values for ω,A and φ, compute numerically a periodic solution of (17), and see on the graphic that the solutions are indeed localized by r1 and R1 given in (21).

Let

φ⁡(t)=1+0.5⁢sin⁡(2⁢π⁢tω)and ω=1.2.

Then φ¯=0.5 and φ¯=1.5, so by choosing A=18.01⁢eω<φ¯⁢14⁢e, from (21), we may take

r1≈88.29,R1≈1006.98. (22)

In Figure 1, we visualize inequalities (20), namely ρ1⁢(r1eω)>r1eω and ρ2⁢(R1)<R1, where

ρ1⁢(x)=0.5⁢e−ω⁢x21+A⁢x2,ρ2⁢(x)=1.5⁢(x1+A⁢x)2.

Subfigure (a) displays the graphical representation of the lines y=x, y=ρ1⁢(x) and y=ρ2⁢(x), whereas subfigure (b) provides a zoomed-in view for a better visualization of the two inequalities.

[Uncaptioned image]

(a) Lines y=x, y=ρ1⁢(x) and y=ρ2⁢(x)

[Uncaptioned image]

(b) Zoom-in of the inequalities

Figure 1: Inequalities ρ1⁢(r1eω)≥r1eω and ρ2⁢(R1)≤R1.

In Figure 2, panel (a) shows that the solution satisfies r1≤‖u‖,‖v‖≤R1, with r1 and R1 given in (22), while panel (b) provides a closer view of the solution.

[Uncaptioned image]

(a) r1≤‖u‖,‖v‖≤R1

[Uncaptioned image]

(b) Periodicity of the solution

Figure 2: Graph of a localized solution.

3.2 Non-autonomous Bazykin models of type (b)

Let us consider the following generalized Bazykin model of type (b):

{u′=μ⁡(t)⁢u−φ⁡(t)⁢b1(1+A⁢u)⁢(1+B⁢v)⁢u⁢v,v′=−η⁡(t)⁢v+φ⁡(t)⁢b2(1+A⁢u)⁢(1+B⁢v)⁢u⁢v−δ⁢v2, (23)

where A,B,b1,b2,δ>0 and μ,η,φ∈Cω⁢(ℝ,ℝ+) for some ω>0. In this case, we have

ℱ1⁢(t,x,y)=φ⁡(t)⁢b1(1+A⁢x)⁢(1+B⁢y)⁢x⁢y,ℱ2⁢(t,x,y)=φ⁡(t)⁢b2(1+A⁢x)⁢(1+B⁢y)⁢x⁢y−δ⁢y2,

which immediately implies

h¯1⁢(t)=b1⁢φ⁢(t)⁢C1⁢C2⁢r1⁢r2(1+A⁢C1⁢r1)⁢(1+B⁢C2⁢r2),
h¯1⁢(t)=b1⁢φ⁢(t)⁢R1⁢R2(1+A⁢R1)⁢(1+B⁢R2),
h¯2⁢(t)>k¯2⁢(t):=b2⁢φ⁢(t)⁢C1⁢C2⁢r1⁢r2(1+A⁢C1⁢r1)⁢(1+B⁢C2⁢r2)−δ⁢r22,
h¯2⁢(t)<k¯2⁢(t):=b2⁢φ⁢(t)⁢R1⁢R2(1+A⁢R1)⁢(1+B⁢R2)−δ⁢C22⁢r22.

Based on Theorem 6, the following existence and localization result holds for problem (23).

Theorem 13.

Assume that

mint∈[0,ω]⁡φ⁡(t)⁢b2(1+A⁢C1⁢r1)⁢(1+A⁢C2⁢r2)⁢C1⁢C2⁢r1⁢r2−δ⁢R22≥0, (24)

and

b1⁢C1⁢C2⁢r1⁢r2(1+A⁢C1⁢r1)⁢(1+B⁢C2⁢r2)⁢minτ∈[0,ω]⁡φ⁡(τ)⁢max⁡∫0ωt∈[0,ω]⁡H1⁢(t,s)⁢𝑑s≥r1, (25)
b1⁢R1⁢R2(1+A⁢R1)⁢(1+B⁢R2)⁢maxτ∈[0,ω]⁡φ⁡(τ)⁢max⁡∫0ωt∈[0,ω]⁡H1⁢(t,s)⁢𝑑s≤R1,
(b2⁢C1⁢C2⁢r1⁢r2(1+A⁢C1⁢r1)⁢(1+B⁢C2⁢r2)⁢minτ∈[0,ω]⁡φ⁡(τ)−δ⁢r22)⁢max⁡∫0ωt∈[0,ω]⁡H2⁢(t,s)⁢𝑑s≥r2,
(b2⁢R1⁢R2(1+A⁢R1)⁢(1+B⁢R2)⁢maxτ∈[0,ω]⁡φ⁡(τ)−δ⁢C22⁢r22)⁢max⁡∫0ωt∈[0,ω]⁡H2⁢(t,s)⁢𝑑s≤R2.

Then the system (23) has at least one positive periodic solution (u,v)∈K1×K2 such that r1≤‖u‖≤R1 and r2≤‖v‖≤R2.

Proof.

From condition (24) we see that (H1) holds (note that ϱ≡1), while conditions (25) ensures that (H2)’ is satisfied. Thus, Theorem 6 applies and yields the conclusion. ∎

Example 14.

In problem (23), let us take

μ≡η=b1=b2=1,and A=B,

which implies

max⁡∫tt+ωt∈[0,ω]⁡H1⁢(t,s)⁢𝑑s=max⁡∫tt+ωt∈[0,ω]⁡H2⁢(t,s)⁢𝑑s=1,C1=C2=1eω.

For simplicity, we look for radii ri,Ri such that r1=r2 and R1=R2. Then, denoting

φ¯:=minτ∈[0,ω]⁡φ⁡(τ),φ¯:=maxτ∈[0,ω]⁡φ⁡(τ),

conditions (24) and (25) become

δ⁢R12≤φ¯⁢(r1eω)2⁢1(1+A⁢r1eω)2, (26)

and

φ¯⁢(r1eω)2⁢1(1+A⁢r1eω)2≥r1, (27)
φ¯⁢R12⁢1(1+A⁢R1)2≤R1, (28)
φ¯⁢(r1eω)2⁢1(1+A⁢r1eω)2−δ⁢r12≥r1, (29)
φ¯⁢R12⁢1(1+A⁢R1)2−δ⁢(r1eω)2≤R1. (30)

Let us take

φ(t)=1+0.1sin(2⁢π⁢tω),ω=1.2,δ=0.0001,andA=0.005.

Then, we easily see that for r1≈70.4 and R1≈400, all conditions (26)–(30) are satisfied. In Figure 3 below, we have a visual representation of the inequalities (27), (28) and (29), that is,

ρ1⁢(r1eω)>r1eω,ρ2⁢(R1)⁢<R1and ρ3⁢(r1eω)>⁢r1eω,

where

ρ1(x)=e−ωφ¯x2(1+A⁢x)2,ρ2(x)=φ¯x2(1+A⁢x)2and ρ3(x)=e−ωφ¯x2(1+A⁢x)2−δeωx2.
[Uncaptioned image]

(a) Lines y=x and y=ρi⁢(x), i=1,2,3

[Uncaptioned image]

(b) Zoom-in of the inequalities

Figure 3: Inequalities ρ1⁢(r1eω)>r1eω,ρ2⁢(R1)<R1, and ρ3⁢(r1eω)>r1eω.

Also, Figure 4 shows that the periodic solution of problem (23) satisfies the localization stated in Theorem 23.

[Uncaptioned image]

(a) r1≤‖u‖,‖v‖≤R1

[Uncaptioned image]

(b) Periodicity of the solution

Figure 4: Graph of a localized solution.

Acknowledgments

The authors would like to thank Prof. Radu Precup for his insightful discussions on the subject and for his careful verification of the manuscript. The authors also thank the anonymous referees for their careful reading of the paper, for pointing out several mistakes in the notation of the indices, and for suggesting weaker assumptions that improved the results.

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