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BY 4.0 license Open Access Published by De Gruyter February 2, 2021

Well-Ordered and Non-Well-Ordered Lower and Upper Solutions for Periodic Planar Systems

  • Alessandro Fonda ORCID logo EMAIL logo , Giuliano Klun ORCID logo and Andrea Sfecci ORCID logo

Abstract

The aim of this paper is to extend the theory of lower and upper solutions to the periodic problem associated with planar systems of differential equations. We generalize previously given definitions and we are able to treat both the well-ordered case and the non-well-ordered case. The proofs involve topological degree arguments, together with a detailed analysis of the solutions in the phase plane.

MSC 2010: 34C25

1 Introduction

The method of lower and upper solutions for scalar second order differential equations of the type

x ′′ = g ( t , x , x )

can be dated back to the pioneering papers by Picard [14], Scorza Dragoni [15] and Nagumo [12], dealing with separated boundary conditions. Its full extension to the periodic problem is due to Knobloch [9]. Further extensions to partial differential equations of elliptic or parabolic type have also been proposed, and there is nowadays a huge literature on this subject. For a rather complete historical and bibliographical account, we refer to the book [5].

Recently Toader [8], jointly with the first author, extended the main idea in the definition of lower and upper solutions to planar systems of ordinary differential equations, with the aim of finding bounded solutions through the method of Ważewski [16]. As a by-product, the theorem of Massera [10] provided also the existence of periodic solutions. It is the aim of this paper to further develop this theory, concentrating on the periodic problem, by the use of topological degree methods.

We consider the periodic problem

(P) { x = f ( t , x , y ) , y = g ( t , x , y ) , x ( 0 ) = x ( T ) , y ( 0 ) = y ( T ) ,

where f:3 and g:3 are continuous functions, T-periodic in their first variable. Our purpose is to give a general definition of a lower and an upper solution with the aim of obtaining the existence of a solution to problem (P). In order to do this, let us first recall the definition of lower solution given in [8].

In [8], a continuously differentiable function α: is said to be a lower solution for problem (P) if it is T-periodic and the following properties hold:

  1. there exists a unique function yα: such that

    { y < y α ( t ) f ( t , α ( t ) , y ) < α ( t ) , y > y α ( t ) f ( t , α ( t ) , y ) > α ( t ) ,

  2. y α is continuously differentiable, and

    y α ( t ) g ( t , α ( t ) , y α ( t ) ) for every  t ,

  3. there are two positive constants δ,m such that, when |y-yα(t)|δ,

    { y < y α ( t ) - m | x - α ( t ) | f ( t , x , y ) < α ( t ) , y > y α ( t ) + m | x - α ( t ) | f ( t , x , y ) > α ( t ) .

An analogous definition was provided for an upper solutionβ:, and an existence result was proved for problem (P) assuming αβ, the so called well-ordered case.

We will generalize the above definition in two directions. First of all, condition (iii) will be removed. Moreover, the function α will not need to be differentiable on all its domain, and the function yα will be allowed to have some discontinuity points. The precise definition will be given in Section 2. Moreover, after having proved the existence of a solution of problem (P) in the well-ordered case, we will also deal with the non-well-ordered caseαβ. Assuming some growth conditions on f and g in order to avoid resonance, we will then be able to prove an existence result also in this case.

A natural application of our results is provided by the periodic problem associated with the scalar equation

(1.1) ( ϕ ( x ) ) = h ( t , x , x ) ,

which can be written in the form of problem (P), with f(t,x,y)=ϕ-1(y) and g(t,x,y)=h(t,x,ϕ-1(y)). Here, ϕ:IJ is an increasing homeomorphism between two intervals I and J containing 0, and ϕ(0)=0. Typical examples in the applications involve the choice ϕ(υ)=|υ|p-2υ, leading to the so-called “scalar p-Laplacian” operator (cf. [3]), or ϕ(υ)=υ/1+υ2, providing a “mean curvature” operator (cf. [13]), or ϕ(υ)=υ/1-υ2, providing a “relativistic” operator (cf. [2]). (See [8] for a detailed discussion in this direction.) A lower solution for the periodic problem associated with (1.1) is usually defined as a continuously differentiable function α:[0,T] such that α(t)I for every t, with α(0)=α(T), α(0)α(T) and

( ϕ ( α ) ) ( t ) h ( t , α ( t ) , α ( t ) ) for every  t [ 0 , T ] .

Our definition to be given in Section 2 extends also this one, with the natural choice yα(t)=ϕ(α(t)). Similarly for what concerns an upper solution.

Notice however that for our problem (P) we do not need any monotonicity assumption on f(t,x,y). Indeed, even in the simpler case f(t,x,y)=f(y), the inequalities in (i) resemble some sign condition, which may be satisfied also if f is not an increasing function.

Organization of the Paper.

In Section 2 we introduce our main definitions and provide some remarks and preliminaries needed in the sequel.

In Section 3 we prove an existence result in the well-ordered case αβ, assuming (like in [8]) the existence of some bounding curves, in order to control the solutions in the phase plane. The construction of these curves can be easily carried out in concrete examples, assuming a Nagumo-type condition (see [8] or Lemma 15 below).

In Section 4 we deal with the non-well-ordered case. Here we need to ask an extra technical condition on the lower and upper solutions; it remains an open question if it could possibly be avoided. Moreover, we assume the existence of a whole family of bounding curves. This assumption is again verified under some type of Nagumo conditions.

In Section 5 we present some variants of our main theorems and discuss on the possibility of further extending the theory to higher dimensional systems.

2 Main Definitions and Preliminaries

For any function ν: we use the notation

ν ( τ - ) = lim t τ - ν ( t ) , ν ( τ + ) = lim t τ + ν ( t ) .

Definition 1.

A continuous function α: is said to be a lower solution for problem (P) if it is T-periodic and there exist a T-periodic function yα: and a finite number of points 0=τ0<τ1<<τn=T such that the following properties hold:

  1. the restriction of α [resp. yα] to each open interval ]τk-1,τk[, with k{1,,n}, is continuously differentiable [resp. differentiable],

  2. α ( τ k ± ) and yα(τk±) exist in for every k{1,,n}, with

    (2.1) α ( τ k - ) α ( τ k + ) and y α ( τ k - ) y α ( τ k + ) ,

  3. for every tk=1n]τk-1,τk[,

    (2.2) { y < y α ( t ) f ( t , α ( t ) , y ) < α ( t ) , y > y α ( t ) f ( t , α ( t ) , y ) > α ( t ) ,

    and

    (2.3) y α ( t ) g ( t , α ( t ) , y α ( t ) ) .

Definition 2.

A continuous function β: is said to be an upper solution for problem (P) if it is T-periodic and there exist a T-periodic function yβ: and a finite number of points 0=τ0<τ1<<τn=T such that the following properties hold:

  1. the restriction of β [resp. yβ] to each open interval ]τk-1,τk[, with k{1,,n}, is continuously differentiable [resp. differentiable],

  2. β ( τ k ± ) and yβ(τk±) exist in for every k{1,,n}, with

    (2.4) β ( τ k - ) β ( τ k + ) and y β ( τ k - ) y β ( τ k + ) ,

  3. for every tk=1n]τk-1,τk[,

    (2.5) { y < y β ( t ) f ( t , β ( t ) , y ) < β ( t ) , y > y β ( t ) f ( t , β ( t ) , y ) > β ( t ) ,

    and

    (2.6) y β ( t ) g ( t , β ( t ) , y β ( t ) ) .

In what follows, when dealing with a couple (α,β) of a lower and an upper solution, we will assume, without loss of generality, that the points {τ0,τ1,,τn} provided in the previous definitions are the same, both for α and β. Moreover, since we are dealing with T-periodic functions, it is worth defining the sets

𝒥 := { t = τ k + ι T : k { 1 , , n } , ι } .

Therefore, (2.1), (2.4) hold with τk replaced by any τ𝒥, and (2.2), (2.3), (2.5), (2.6) hold for every t𝒥.

Remark 3.

When dealing with the periodic problem associated with the scalar equation (1.1), the usual definitions of lower/upper solutions are contained in the above ones, taking

f ( t , x , y ) = ϕ - 1 ( y ) , g ( t , x , y ) = h ( t , x , ϕ - 1 ( y ) ) ,

and defining

y α ( t ) = ϕ ( α ( t ) ) , y β ( t ) = ϕ ( β ( t ) ) .

Indeed, the conditions α(0)=α(T), β(0)=β(T) permit to continuously extend the functions α,β:[0,T] to the whole real line , and the conditions α(0)α(T), β(0)β(T) are included in (2.1), (2.4). The possibility of having some discontinuity points τk can be useful in the applications, e.g., when taking as a lower solution the maximum of two or more smooth lower solutions, and as an upper solution the minimum of two or more smooth upper solutions.

From (2.2) we have that

(2.7) α ( t ) = f ( t , α ( t ) , y α ( t ) ) for every  t 𝒥 ,

and yα(t) is the only value for which this identity holds. Similarly, from (2.5) we have

(2.8) β ( t ) = f ( t , β ( t ) , y β ( t ) ) for every  t 𝒥 ,

and yβ(t) is uniquely defined on 𝒥 by this identity.

It is well known in the case of scalar second order equations that if a function is at the same time a lower and an upper solution, then it is a solution. Let us write the analogous statement in our situation.

Proposition 4.

Let x:RR be at the same time a lower and an upper solution for problem (P). Then there exists a function y:RR such that (x,y) is a solution of problem (P).

Proof.

Denote by yα and yβ the functions provided by Definitions 1 and 2 taking x=α and x=β, respectively. From (2.7) and (2.8) we deduce that

x ( t ) = f ( t , x ( t ) , y α ( t ) ) and y α ( t ) = y β ( t ) for every  t 𝒥 .

Then, from (2.1) and (2.4) we first see that x(τk-)=x(τk+), thus implying that x: is continuously differentiable; moreover, on one hand we have yα(τk-)yα(τk+), and on the other hand

y α ( τ k - ) = y β ( τ k - ) y β ( τ k + ) = y α ( τ k + ) ,

showing that yα(τk±)=yβ(τk±) for every k. We can thus define

y ( t ) = { y α ( t ) if  t 𝒥 , y α ( t ± ) if  t 𝒥 ,

a continuous function.

Since x: is continuously differentiable, y: and f:3 are continuous, from (2.7) we deduce that x(t)=f(t,x(t),y(t)) for every t. Moreover, by (2.3) and (2.6) we get y(t)=g(t,x(t),y(t)) for every t𝒥; since y: and g:3 are continuous, we first see that y: is continuously differentiable, and then also that y(t)=g(t,x(t),y(t)) for every t, thus completing the proof. ∎

We will need the following estimates involving our lower and upper solutions, where we adopt the usual definition of the Dini derivatives:

D ± F ( t 0 ) = lim inf t t 0 ± F ( t ) - F ( t 0 ) t - t 0 ,
D ± F ( t 0 ) = lim sup t t 0 ± F ( t ) - F ( t 0 ) t - t 0 .

Proposition 5.

If α is a lower solution for problem (P), then

D ± y α ( τ ) g ( τ , α ( τ ) , y α ( τ ± ) ) for every  τ 𝒥 .

If β is an upper solution for problem (P), then

D ± y β ( τ ) g ( τ , β ( τ ) , y β ( τ ± ) ) for every  τ 𝒥 .

Proof.

Let us fix k and consider the restrictions of the functions yα and yβ to the interval [τk,τk+1], redefining the two functions at the extremes in such a way to make them continuous. Then, since both yα and yβ are differentiable in the interval ]τk,τk+1[, by [6, Corollary 3.7] we have

D - y α ( τ k + 1 ) lim inf t τ k + 1 - D + y α ( t ) = lim inf t τ k + 1 - y α ( t )
lim inf t τ k + 1 - g ( t , α ( t ) , y α ( t ) ) = g ( τ k + 1 , α ( τ k + 1 ) , y α ( τ k + 1 - ) ) ,

and

D + y β ( τ k ) lim sup t τ k + D - y β ( t ) = lim sup t τ k + y β ( t )
lim sup t τ k + g ( t , β ( t ) , y β ( t ) ) = g ( τ k , β ( τ k ) , y β ( τ k + ) ) .

Similarly, we have

D + y α ( τ k ) lim inf t τ k + D - y α ( t ) = lim inf t τ k + y α ( t )
lim inf t τ k + g ( t , α ( t ) , y α ( t ) ) = g ( τ k , α ( τ k ) , y α ( τ k + ) ) ,

and

D - y β ( τ k + 1 ) lim sup t τ k + 1 - D + y β ( t ) = lim sup t τ k + 1 - y β ( t )
lim sup t τ k + 1 - g ( t , β ( t ) , y β ( t ) ) = g ( τ k + 1 , β ( τ k + 1 ) , y β ( τ k + 1 - ) ) ,

thus ending the proof. ∎

3 Well-Ordered Lower and Upper Solutions

We will say that (α,β) is a well-ordered couple of lower/upper solutions of problem (P) if α and β are respectively a lower and an upper solution of problem (P), and α(t)β(t) for every t. The following result generalizes that part of [8, Theorem 2.5] concerning the existence of periodic solutions.

Theorem 6.

Assume the existence of a well-ordered couple (α,β) of lower/upper solutions of problem (P). Set A=minα and B=maxβ, with A<B. Let there exist two continuously differentiable functions γ±:[A,B]R such that, for every tR and x[α(t),β(t)],

γ - ( x ) < min { y α ( t - ) , y β ( t + ) } max { y α ( t + ) , y β ( t - ) } < γ + ( x ) ,

and

(3.1) g ( t , x , γ - ( x ) ) < f ( t , x , γ - ( x ) ) γ - ( x ) ,
(3.2) g ( t , x , γ + ( x ) ) > f ( t , x , γ + ( x ) ) γ + ( x ) .

Then there exists at least one solution of problem (P) such that

α ( t ) x ( t ) β ( t ) 𝑎𝑛𝑑 γ - ( x ( t ) ) < y ( t ) < γ + ( x ( t ) ) ,

for every tR.

Some remarks are in order.

  1. We will discuss in Section 5 on the possibility of reversing the inequalities in (3.1) and (3.2).

  2. We will provide in Lemma 15 some Nagumo-type conditions which guarantee the existence of the curves γ±.

  3. The assumption A<B is inessential, since if A=B we have that α=β, hence by Proposition 4 we immediately get a solution.

3.1 Proof of Theorem 6

3.1.1 An Auxiliary Problem

Let Φ:32 be defined as

Φ ( t , x , y ) = ( f ( t , x , y ) , g ( t , x , y ) ) .

Fix D>0 such that

- D < γ - ( x ) < γ + ( x ) < D for every  x [ A , B ] .

Define

(3.3) α = max t [ 0 , T ] | α ( t ± ) | , β = max t [ 0 , T ] | β ( t ± ) | ,
μ 1 = max t [ 0 , T ] | f ( t , α ( t ) , γ ± ( α ( t ) ) ) | , μ 2 = max t [ 0 , T ] | f ( t , β ( t ) , γ ± ( β ( t ) ) ) | ,

choose

(3.4) M X > max { μ 1 , μ 2 , α , β } ,

and

(3.5) M Y > γ ± M X .

We interpolate the vector field Φ(t,x,y) on AxB,γ-(x)yγ+(x)} with a constant vector field on {AxB,|y|D}. Precisely, we define Φ^:×[A,B]×2 as

Φ ^ ( t , x , y ) = { ( M X , M Y ) if  y D , Φ ( t , x , γ + ( x ) ) + y - γ + ( x ) D - γ + ( x ) ( ( M X , M Y ) - Φ ( t , x , γ + ( x ) ) ) if  γ + ( x ) y D , Φ ( t , x , y ) , if  γ - ( x ) y γ + ( x ) , Φ ( t , x , γ - ( x ) ) - y - γ - ( x ) D + γ - ( x ) ( ( - M X , - M Y ) - Φ ( t , x , γ - ( x ) ) ) if  - D y γ - ( x ) , ( - M X , - M Y ) , if  y - D .

We will write Φ^(t,x,y)=(f^(t,x,y),g^(t,x,y)).

By the use of the auxiliary functions

ζ ( s ; μ , ν ) = { μ if  s < μ , s if  μ s ν , ν if  s > ν ,

and

e ( s ; μ , ν ) = s - ζ ( s ; μ , ν ) = { s - μ if  s < μ , 0 if  μ s ν , s - ν if  s > ν ,

we define, for every (t,x,y)3,

f ~ ( t , x , y ) = f ^ ( t , ζ ( x ; α ( t ) , β ( t ) ) , ζ ( y ; - D , D ) ) + e ( y ; - D , D ) ,
g ~ ( t , x , y ) = g ^ ( t , ζ ( x ; α ( t ) , β ( t ) ) , ζ ( y ; - D , D ) ) + e ( x ; α ( t ) , β ( t ) ) ,

so to introduce the modified problem

( P ~ ) { x = f ~ ( t , x , y ) , y = g ~ ( t , x , y ) , x ( 0 ) = x ( T ) , y ( 0 ) = y ( T ) .

We will write Φ~(t,x,y)=(f~(t,x,y),g~(t,x,y)). In the space

𝒞 T 0 = { v 𝒞 0 ( [ 0 , T ] , 2 ) : v ( 0 ) = v ( T ) }

we introduce the open set

(3.6) 𝒱 = { u 𝒞 T 0 : ( t , u ( t ) ) V  for every  t [ 0 , T ] } ,

where, see Figure 1,

V = { ( t , x , y ) 3 : α ( t ) < x < β ( t ) , γ - ( x ) < y < γ + ( x ) } .

Our aim is to prove that there exists a solution u=(x,y) of problem (P~) belonging to 𝒱¯. Since f~=f and g~=g on the set V¯, then u will solve also (P).

3.1.2 No Solutions of (P~) Outside 𝒱¯

We show that all the solutions u=(x,y) of system (P~) are such that (t,u(t))V¯ for every t.

Let us start proving a preliminary lemma.

Lemma 7.

For every tRJ, the following inequalities hold:

(3.7) { f ~ ( t , x , y ) < α ( t ) if  x α ( t ) and  y < y α ( t ) , f ~ ( t , x , y ) > α ( t ) if  x α ( t ) and  y > y α ( t ) ,
(3.8) { f ~ ( t , x , y ) < β ( t ) if  x β ( t ) and  y < y β ( t ) , f ~ ( t , x , y ) > β ( t ) if  x β ( t ) and  y > y β ( t ) ,
(3.9) { g ~ ( t , x , y α ( t ) ) < y α ( t ) if  x < α ( t ) , g ~ ( t , x , y β ( t ) ) > y β ( t ) if  x > β ( t ) .

Moreover, for every τJ,

(3.10) { g ~ ( τ , x , y α ( τ ± ) ) < D ± y α ( τ ) if  x < α ( τ ) , g ~ ( τ , x , y β ( τ ± ) ) > D ± y β ( τ ) if  x > β ( τ ) .

Proof.

Let us prove the first inequality in (3.7). Suppose t𝒥, xα(t) and y<yα(t). We have that

f ~ ( t , x , y ) = f ^ ( t , ζ ( x ; α ( t ) , β ( t ) ) , ζ ( y ; - D , D ) ) + e ( y ; - D , D )
= f ^ ( t , α ( t ) , ζ ( y ; - D , D ) ) + e ( y ; - D , D ) .

We need to consider three different cases.

Case 1. If γ-(α(t))y<yα(t), then

f ~ ( t , x , y ) = f ^ ( t , α ( t ) , y ) = f ( t , α ( t ) , y ) < α ( t ) .

Case 2. If -Dy<γ-(α(t)), then

f ~ ( t , x , y ) = f ^ ( t , α ( t ) , y ) = f ( t , α ( t ) , γ - ( α ( t ) ) ) - y - γ - ( α ( t ) ) D + γ - ( α ( t ) ) [ - M X - f ( t , α ( t ) , γ - ( α ( t ) ) ) ]
f ( t , α ( t ) , γ - ( α ( t ) ) ) < α ( t ) .

Case 3. If y<-D, then, by (3.4),

f ~ ( t , x , y ) = f ^ ( t , α ( t ) , - D ) + y + D = - M X + y + D < - M X < α ( t ) .

Hence, the first inequality in (3.7) is proved. The second one can be proved analogously, as well as the inequalities in (3.8).

We now prove the first inequality of (3.9). Let x<α(t). Since -D<γ-(α(t))yα(t)γ+(α(t))<D, we have

g ~ ( t , x , y α ( t ) ) = g ^ ( t , ζ ( x ; α ( t ) , β ( t ) ) , ζ ( y α ( t ) ; - D , D ) ) + e ( x ; α ( t ) , β ( t ) )
= g ^ ( t , α ( t ) , y α ( t ) ) + x - α ( t )
< g ^ ( t , α ( t ) , y α ( t ) )
= g ( t , α ( t ) , y α ( t ) ) y α ( t ) .

The second inequality in (3.9) follows analogously, and a similar computation proves the ones in (3.10). ∎

Let us define the sets

A NW = { ( t , x , y ) 3 : x < α ( t ) , y > y α ( t + ) } ,
A SW = { ( t , x , y ) 3 : x < α ( t ) , y < y α ( t - ) } ,
A NE = { ( t , x , y ) 3 : x > β ( t ) , y > y β ( t - ) } ,
A SE = { ( t , x , y ) 3 : x > β ( t ) , y < y β ( t + ) }

(see Figure 1).

Figure 1 
              A sketch of the section at a fixed time t of the regions where to study the dynamics of u′=Φ~⁢(t,u){u^{\prime}=\widetilde{\Phi}(t,u)}. Notice that the vertical lines x=α{x=\alpha}, x=β{x=\beta} and the horizontal lines y=yα{y=y_{\alpha}}, y=yβ{y=y_{\beta}} move in time, while the curves γ±{\gamma_{\pm}} are fixed.
Figure 1

A sketch of the section at a fixed time t of the regions where to study the dynamics of u=Φ~(t,u). Notice that the vertical lines x=α, x=β and the horizontal lines y=yα, y=yβ move in time, while the curves γ± are fixed.

Lemma 8.

For every solution u=(x,y) of

(3.11) x = f ~ ( t , x , y ) , y = g ~ ( t , x , y ) ,

the following assertions hold true:

( t 0 , u ( t 0 ) ) A NW ( t , u ( t ) ) A NW for every  t < t 0 ,
( t 0 , u ( t 0 ) ) A SE ( t , u ( t ) ) A SE for every  t < t 0 ,
( t 0 , u ( t 0 ) ) A NE ( t , u ( t ) ) A NE for every  t > t 0 ,
( t 0 , u ( t 0 ) ) A SW ( t , u ( t ) ) A SW for every  t > t 0 .

Figure 2 
              A sketch of the boundary of the set ANW{A_{\rm NW}}. It consists of a wall x=α⁢(t){x=\alpha(t)}, a floor y=yα⁢(t+){y=y_{\alpha}(t^{+})} and a possible step yα⁢(t-)≤y<yα⁢(t+){y_{\alpha}(t^{-})\leq y<y_{\alpha}(t^{+})}. For simplicity, the function yα{y_{\alpha}} is drawn as being piecewise constant.
Figure 2

A sketch of the boundary of the set ANW. It consists of a wall x=α(t), a floor y=yα(t+) and a possible step yα(t-)y<yα(t+). For simplicity, the function yα is drawn as being piecewise constant.

Proof.

We will prove only the validity of the first assertion, since the others follow similarly. We argue by contradiction and assume the existence of t1<t0 and of a solution u=(x,y) of (3.11) such that (t,u(t))=(t,x(t),y(t))ANW for every t]t1,t0] and (t1,u(t1))=(t1,x(t1),y(t1))ANW, where (see Figure 2)

(3.12) A NW = { ( t , x , y ) 3 : x = α ( t ) , y y α ( t + ) } { ( t , x , y ) 3 : x α ( t ) , y α ( t - ) y ( t ) y α ( t + ) } .

Without loss of generality we can assume the existence of δ>0 such that ]t1,t1+δ]𝒥. We define

G ( t ) = x ( t ) - α ( t ) for every  t [ t 1 , t 1 + δ ] .

We have G(t1+δ)<0 and, from (3.7),

G ( t ) = x ( t ) - α ( t ) = f ~ ( t , x ( t ) , y ( t ) ) - α ( t ) > 0

for every t]t1,t1+δ]. Hence we have G(t1)<0. We conclude that x(t)<α(t) for every t[t1,t0]. So, being x(t1)<α(t1), recalling (3.12), we necessarily have yα(t1-)y(t1)yα(t1+).

If y(t1)=yα(t1+), then the function H(t)=y(t)-yα(t+) is continuous in the interval [t1,t0] with H(t1)=0 and H(t)>0 for all t]t1,t0]. Recalling that x(t)<α(t) for all t[t1,t0], by (3.9) or (3.10) we have

D + H ( t 1 ) = y ( t 1 ) - D + y α ( t 1 ) = g ~ ( t 1 , x ( t 1 ) , y α ( t 1 + ) ) - D + y α ( t 1 ) < 0 ,

leading again to a contradiction.

The case yα(t1-)y(t1)<yα(t1+) could arise only if t1𝒥. However, such a situation is not possible, indeed we would have the existence of δ>0 such that H(t)<0 for every t(t1,t1+δ) which gives a contradiction, since we have assumed (t,u(t))ANW for every t]t1,t0[. ∎

We have thus proved that the sets ANW,ASE are invariant in the past, while the sets ANE,ASW are invariant in the future. We also define the sets

A W = { ( t , x , y ) 3 : x < α ( t ) , y α ( t - ) y y α ( t + ) } ,
A E = { ( t , x , y ) 3 : x > β ( t ) , y β ( t + ) y y β ( t - ) }

(see Figure 1).

Lemma 9.

If u=(x,y) is a solution of (3.11) such that (t0,u(t0))AW, then there exists δ>0 such that

t ] t 0 - δ , t 0 [ ( t , u ( t ) ) A NW ,
t ] t 0 , t 0 + δ [ ( t , u ( t ) ) A SW .

Similarly, if u=(x,y) is a solution of (3.11) such that (t0,u(t0))AE, then there exists δ>0 such that

t ] t 0 - δ , t 0 [ ( t , u ( t ) ) A SE ,
t ] t 0 , t 0 + δ [ ( t , u ( t ) ) A NE .

Proof.

We give the proof of the first part of the statement, the second one being similar. Let u=(x,y) be a solution of (3.11) such that (t0,u(t0))AW. If y(t0)=yα(t0+), then, defining as above the function H(t)=y(t)-yα(t+),

D + H ( t 0 ) = y ( t 0 ) - D + y α ( t 0 ) = g ~ ( t 0 , x ( t 0 ) , y α ( t 0 + ) ) - D + y α ( t 0 ) < 0

using inequalities (3.9) or (3.10). So, there exists δ>0 such that y(t)<yα(t+)=yα(t-) and x(t)<α(t) for every t]t0,t0+δ[.

On the other hand, if yα(t0-)y(t0)<yα(t0+), then t0𝒥 and the strict inequalities y(t0)<yα(t0+) and x(t0)<α(t0) provide the same conclusion as before by a continuity argument.

We now give the proof for t<t0. If y(t0)=yα(t0-), then

D - H ( t 0 ) = y ( t 0 ) - D - y α ( t 0 ) = g ~ ( t 0 , x ( t 0 ) , y α ( t 0 - ) ) - D - y α ( t 0 ) < 0 ,

and we get the existence of δ>0 such that y(t)>yα(t-)=yα(t+) and x(t)<α(t) for every t]t0-δ,t0[. On the other hand, if yα(t0-)<y(t0)yα(t0+), we reach the same conclusion, by continuity. ∎

Lemma 10.

If u=(x,y) is a solution of (P~), then

(3.13) α ( t ) x ( t ) β ( t ) for every  t .

Proof.

Suppose that there exists a solution u=(x,y) of (P~) such that x(t0)<α(t0) for a certain t0[0,T]. If (t0,u(t0))ANW, then, from Lemma 8, we have that (t,u(t))ANW for every t. Moreover, from (3.7) we get

t 𝒥 ( x - α ) ( t ) = f ~ ( t , x ( t ) , y ( t ) ) - α ( t ) > 0 ,

a contradiction, since x-α is a periodic function.

The same reasoning can be adopted if (t0,u(t0))ASW. Finally, if (t0,u(t0)) belongs to AW, Lemma 9 brings us to the previous contradicting situations.

A similar argument can be adopted in order to show that there are no solutions u=(x,y) of (P~) such that max[0,T](x-β)>0. ∎

Lemma 11.

If u=(x,y) is a solution of (P~), then

(3.14) γ - ( x ( t ) ) < y ( t ) < γ + ( x ( t ) ) for every  t .

Proof.

We already know from Lemma 10 that any solution of (P~) is such that α(t)x(t)β(t) for every t[0,T]. We claim that |y(t)|<D for every t[0,T]. Indeed, if the function y has minimum at t=tm such that y(tm)<-D, then we would have

y ( t m ) = g ~ ( t m , x ( t m ) , y ( t m ) ) = - M Y < 0 ,

a contradiction. Similarly, max[0,T]y<D must hold.

We now define the periodic function F-(t)=y(t)-γ-(x(t)). Let sm[0,T] such that F-(sm)=min[0,T]F-. If F-(sm)0, we get the following contradiction:

F - ( s m ) = y ( s m ) - γ - ( x ( s m ) ) x ( s m )
= g ~ ( s m , x ( s m ) , y ( s m ) ) - γ - ( x ( s m ) ) f ~ ( t , x ( s m ) , y ( s m ) )
= g ^ ( s m , x ( s m ) , y ( s m ) ) - γ - ( x ( s m ) ) f ^ ( t , x ( s m ) , y ( s m ) )
= Φ ^ ( s m , x ( s m ) , y ( s m ) ) , ( - γ - ( x ( s m ) ) , 1 )
= ( 1 - γ - ( x ( s m ) ) - y ( s m ) D + γ - ( x ( s m ) ) ) Φ ( s m , x ( s m ) , γ - ( x ( s m ) ) ) , ( - γ - ( x ( s m ) ) , 1 )
- γ - ( x ( s m ) ) - y ( s m ) D + γ - ( x ( s m ) ) ( M X , M Y ) , ( - γ - ( x ( s m ) ) , 1 ) < 0 ,

where we have used both (3.1) and (3.5). So, min[0,T]F->0. Similarly we can prove that max[0,T]F+<0, where F+(t)=y(t)-γ+(x(t)), thus concluding the proof. ∎

3.1.3 A Topological Degree Argument

We define the operators

: 𝒞 T 1 𝒞 T 0 , ( x y ) = ( x y ) ,

where 𝒞T1={v𝒞1([0,T],2):v(0)=v(T)} and

(3.15) 𝒩 ~ : 𝒞 T 0 𝒞 T 0 , 𝒩 ~ ( x y ) ( t ) = ( f ~ ( t , x ( t ) , y ( t ) ) g ~ ( t , x ( t ) , y ( t ) ) ) .

So, a solution

u ( t ) = ( x ( t ) y ( t ) )

of problem (P~) corresponds to a solution of

(3.16) u - 𝒩 ~ u = 0 .

In the previous subsection we have found the a priori bound 𝒱¯ for all the possible solutions of problem (P~). In order to apply the degree theory we need to consider an open ball R containing 𝒱¯. By the above arguments, we can deduce that if u solves (3.16), then uR, so that the coincidence degree d(-𝒩~,R) is well defined. We refer to [11] for more details on this topic.

Since (3.13) and (3.14) hold, we can rewrite system (3.11) as

x = y + p ( t , x , y ) , y = x + q ( t , x , y ) ,

where

p ( t , x , y ) = f ^ ( t , ζ ( x ; α ( t ) , β ( t ) ) , ζ ( y ; - D , D ) ) - ζ ( y ; - D , D ) ,
q ( t , x , y ) = g ^ ( t , ζ ( x ; α ( t ) , β ( t ) ) , ζ ( y ; - D , D ) ) - ζ ( x ; α ( t ) , β ( t ) )

are bounded functions. We now introduce the functions

λ ( t , u ) = λ ( t , x , y ) = ( y + λ p ( t , x , y ) , x + λ q ( t , x , y ) ) ,

and the problems

( Q λ ) { u = λ ( t , u ) , u ( 0 ) = u ( T ) .

We define the Nemytskii operator related to the family of problem (Qλ) as

( λ u ) ( t ) = λ ( t , u ( t ) ) .

Since the function (p,q):[0,T]×22 is bounded, by a classical argument we can find a sufficiently large R>0 such that, for every λ[0,1], all the periodic solutions of (Qλ) satisfy

u 2 = sup t [ 0 , T ] [ x 2 ( t ) + y 2 ( t ) ] < R 2 .

Since in the case λ=0 we have an autonomous linear problem ruled by the function 𝒢(u)=𝒢(x,y)=(y,x), by [4, Lemma 1] we can conclude that

d ( - 𝒩 ~ , R ) = d ( - 1 , R ) = d ( - 0 , R ) = deg ( 𝒢 , B R ) = - 1 ,

where deg(𝒢,BR) denotes the Brouwer degree of the function 𝒢 on the ball BR={(x,y)2:x2+y2<R2} and R is the set of continuous functions having image in BR. We have so found a solution of problem (P~) belonging to the set R. However, such a solution belongs indeed to the a priori bound 𝒱¯, and so it is also a solution of problem (P), thus concluding the proof of Theorem 6.

3.2 An Important Consequence of the Proof

We first recall the definition (3.6) of the open set

(3.17) 𝒱 = { u 𝒞 T 0 : ( t , u ( t ) ) V  for every  t [ 0 , T ] } ,

where

V = { ( t , x , y ) 3 : α ( t ) < x < β ( t ) , γ - ( x ) < y < γ + ( x ) } .

Let us introduce the Nemytskii operator related to problem (P) as

𝒩 : 𝒞 T 0 𝒞 T 0 , 𝒩 ( x y ) ( t ) = ( f ( t , x ( t ) , y ( t ) ) g ( t , x ( t ) , y ( t ) ) ) .

Corollary 12.

Under the assumptions of Theorem 6, if there are no solutions of (P) in V, then

d ( - 𝒩 , 𝒱 ) = - 1 .

Proof.

Since Φ=Φ~ on V¯, and so 𝒩=𝒩~ on 𝒱¯, the additional assumption permits us to evaluate the coincidence degree also on the set 𝒱. Recalling that all the solutions of problem (P~) satisfy the a priori bounds (3.13) and (3.14), by the excision property we have

- 1 = d ( - 𝒩 ~ , R ) = d ( - 𝒩 ~ , 𝒱 ) = d ( - 𝒩 , 𝒱 ) ,

and the proof is completed. ∎

Remark 13.

The set 𝒱 introduced in (3.17) depends on the well-ordered couple (α,β) of lower/upper solutions of problem (P) and the functions γ± given in the assumptions of Theorem 6. In the following section, we will denote this set by 𝒱(α,β,γ±) when we need to underline such a dependence.

4 Non-Well-Ordered Lower and Upper Solutions

We still consider the periodic problem

(P) { x = f ( t , x , y ) , y = g ( t , x , y ) , x ( 0 ) = x ( T ) , y ( 0 ) = y ( T ) ,

where f:3 and g:3 are continuous functions, T-periodic in their first variable.

We will say that (α,β) is a non-well-ordered couple of lower/upper solutions of problem (P) if α and β are respectively a lower and an upper solution of problem (P) such that there exists t^0[0,T] satisfying

(4.1) α ( t ^ 0 ) > β ( t ^ 0 ) .

Let us set

a ( t ) := min { α ( t ) , β ( t ) } , b ( t ) := max { α ( t ) , β ( t ) } ,
A := min a , B := max b .

Notice that A<B, by (4.1).

Let us introduce our assumptions.

  1. There are a continuous function χ:[0,+[ and a constant M>0 such that

    (4.2) | f ( t , x , y ) | χ ( y ) ( 1 + | x | ) for every  ( t , x , y ) 3 ,
    (4.3) | g ( t , x , y ) | M ( 1 + | y | ) for every  ( t , x , y ) 3 .

  2. There exist two continuous functions γ±:[A,B]×[1,+[, continuously differentiable with respect to the first variable, such that

    lim λ + γ ± ( x ; λ ) = ± uniformly with respect to  x [ A , B ] ,

    and

    (4.4) g ( t , x , γ - ( x ; λ ) ) < f ( t , x , γ - ( x ; λ ) ) γ - ( x ; λ ) ,
    (4.5) g ( t , x , γ + ( x ; λ ) ) > f ( t , x , γ + ( x ; λ ) ) γ + ( x ; λ )

    for every t, x[a(t),b(t)] and λ[1,+[. (Here we denote by γ± the derivative with respect to the first variable.)

Theorem 14.

Assume the existence of a non-well-ordered couple (α,β) of lower/upper solutions of problem (P) with the additional property that there exists a constant c^>0 such that, for every k{1,,n},

(4.6) { y - c ^ f ( τ k , α ( τ k - ) , y ) < α ( τ k - ) , y c ^ f ( τ k , α ( τ k + ) , y ) > α ( τ k + ) ,
(4.7) { y - c ^ f ( τ k , β ( τ k + ) , y ) < β ( τ k + ) , y c ^ f ( τ k , β ( τ k - ) , y ) > β ( τ k - ) .

If (H1) and (H2) hold, there exists at least one solution of problem (P) such that, for some t1,t2[0,T], one has x(t1)α(t1) and x(t2)β(t2).

This theorem extends some classical results for scalar second order differential equations of the type (1.1). We will show below two examples of applications. Conditions (H1) and (H2) will be necessary in order to avoid resonance phenomena, and to obtain a priori bounds. Notice that (2.2) and (2.5) imply a weaker form of (4.6) and (4.7), i.e., with only weak inequalities. It remains an open problem if these additional assumptions can be omitted.

We will discuss in Section 5 on the possibility of reversing the inequalities in (4.4) and (4.5). Concerning the existence of the functions γ±, let us prove the following lemma.

Lemma 15.

Let the following assumptions hold:

  1. There are a constant d > 0 and two continuous functions f + : [ d , + [ and f - : ] - , - d ] such that

    { y d f ( t , x , y ) f + ( y ) > 0 , y - d f ( t , x , y ) f - ( y ) < 0 , for every  ( t , x ) [ 0 , T ] × [ A , B ] .

  2. There is a positive continuous function φ : [ 0 , + [ such that

    | g ( t , x , y ) | φ ( | y | ) for every  ( t , x , y ) [ 0 , T ] × [ A , B ] × .

  3. The above functions are such that

    (4.8) d + f + ( s ) φ ( s ) 𝑑 s = + , - - d f - ( s ) φ ( | s | ) 𝑑 s = - .

Then there exist four continuous functions γ±,1,γ±,2:[A,B]×[1,+[R, continuously differentiable with respect to the first variable, such that

(4.9) lim λ + γ ± , 1 ( x ; λ ) = ± 𝑎𝑛𝑑 lim λ + γ ± , 2 ( x ; λ ) = ± uniformly with respect to  x [ A , B ] ,

and

(4.10) g ( t , x , γ + , 1 ( x ; λ ) ) > f ( t , x , γ + , 1 ( x ; λ ) ) γ + , 1 ( x ; λ ) ,
(4.11) g ( t , x , γ + , 2 ( x ; λ ) ) < f ( t , x , γ + , 2 ( x ; λ ) ) γ + , 2 ( x ; λ ) ,
(4.12) g ( t , x , γ - , 1 ( x ; λ ) ) < f ( t , x , γ - , 1 ( x ; λ ) ) γ - , 1 ( x ; λ ) ,
(4.13) g ( t , x , γ - , 2 ( x ; λ ) ) > f ( t , x , γ - , 2 ( x ; λ ) ) γ - , 2 ( x ; λ )

for every t[0,T], x[A,B] and λ[1,+[.

Proof.

For every y0d, we introduce the continuous strictly increasing function y0:[d,+[ defined as

y 0 ( ξ ) = y 0 ξ f + ( s ) φ ( s ) 𝑑 s .

We can easily verify that y0(y0)=0 and, from (4.8),

lim ξ + y 0 ( ξ ) = + .

Construction of γ+,1. For every y0d and for every x[A,B] there exists a unique ξy0 such that y0(ξ)=2(B-x). Hence, we can define γ+,1(x;λ), for λ1, as the unique solution of equation

(4.14) λ - 1 + d ( γ + , 1 ( x ; λ ) ) = 2 ( B - x ) .

In particular, since λ-1+d(γ+,1(B;λ))=0, we get

γ + , 1 ( x ; λ ) γ + , 1 ( B ; λ ) = λ - 1 + d ,

which provides the validity of (4.9) for the function γ+,1. Differentiating in (4.14), we see that γ+,1(x;λ)<0 for every x[A,B], and

f ( t , x , γ + , 1 ( x ; λ ) ) γ + , 1 ( x ; λ ) f + ( γ + , 1 ( x ; λ ) ) γ + , 1 ( x ; λ ) = - 2 φ ( γ + , 1 ( x ; λ ) ) < - φ ( γ + , 1 ( x ; λ ) ) < g ( t , x , γ + , 1 ( x ; λ ) ) ,

thus proving (4.10).

Construction of γ+,2. Arguing similarly as above, for every y0d and for every x[A,B] there exists a unique ξy0 such that y0(ξ)=2(x-A). Hence we can define γ+,2(x;λ) by

(4.15) λ - 1 + d ( γ + , 2 ( x ; λ ) ) = 2 ( x - A ) .

In particular, since λ-1+d(γ+,2(A;λ))=0, we get

γ + , 2 ( x ; λ ) γ + , 2 ( A ; λ ) = λ - 1 + d ,

so that (4.9) holds for the function γ+,2. Differentiating in (4.15),

f ( t , x , γ + , 2 ( x ; λ ) ) γ + , 2 ( x ; λ ) f + ( γ + , 2 ( x ; λ ) ) γ + , 2 ( x ; λ ) = 2 φ ( γ + , 2 ( x ; λ ) ) > φ ( γ + , 2 ( x ; λ ) ) > g ( t , x , γ + , 2 ( x ; λ ) ) ,

thus proving (4.11).

The construction of the functions γ-,1 and γ-,2 satisfying (4.12) and (4.13) is similar. ∎

Let us illustrate how our result applies to two classical scalar second order differential equations of type (1.1), involving a scalar p-Laplacian and a mean curvature operator, with ϕ(s)=|s|p-2s and ϕ(s)=s1+s2, respectively.

Consider first the problem

(4.16) { ( | x | p - 2 x ) = h ( t , x , x ) , x ( 0 ) = x ( T ) , x ( 0 ) = x ( T ) ,

with p>1, which is equivalent to problem (P), taking g(t,x,y)=h(t,x,|y|q-2y) and f(t,x,y)=f(y)=|y|q-2y, with 1p+1q=1.

Corollary 16.

Assume the existence of a non-well-ordered couple (α,β) of lower/upper solutions of problem (4.16), and of a constant M>0 for which

(4.17) | h ( t , x , z ) | M ( 1 + | z | p - 1 ) for every  ( t , x , z ) 3 .

Then there exists at least one solution of problem (4.16) such that, for some t1,t2[0,T], one has x(t1)α(t1) and x(t2)β(t2).

Proof.

Notice that (4.17) implies (4.3). We can use Lemma 15 with φ(s)=M(1+|y|) to construct the curves γ±. Then Theorem 14 applies. ∎

Consider now the problem

(4.18) { ( x 1 + ( x ) 2 ) = h ( t , x , x ) , x ( 0 ) = x ( T ) , x ( 0 ) = x ( T ) ,

which is equivalent to problem (P), taking f(t,x,y)=ϕ-1(y)=y/1-y2 and g(t,x,y)=h(t,x,y/1-y2). Notice that these functions are now only defined on ××]-1,1[.

Corollary 17.

Assume the existence of a non-well-ordered couple (α,β) of lower/upper solutions of problem (4.18), and of a positive continuous function ζ:[0,+[R such that

(4.19) | h ( t , x , z ) | ζ ( | z | ) for every  ( t , x , z ) 3

and

(4.20) 0 + d s ( 1 + s 2 ) 3 2 ζ ( s ) > T 2 .

Then there exists at least one solution of problem (4.18) such that, for some t1,t2[0,T], one has x(t1)α(t1) and x(t2)β(t2).

Proof.

Recalling that ϕ(s)=s/1+s2, by (4.20) there is a c]0,1[ such that

(4.21) 0 ϕ - 1 ( c ) ϕ ( s ) ζ ( s ) 𝑑 s > T 2 .

We define the functions fc: and gc:3 as

f c ( y ) = { ϕ - 1 ( - c ) + y + c if  y < - c , ϕ - 1 ( y ) if  | y | c , ϕ - 1 ( c ) + y - c if  y > c ,

and

g c ( t , x , y ) = { g ( t , x , - c ) if  y < - c , g ( t , x , y ) if  | y | c , g ( t , x , c ) if  y > c ,

and we consider the system

(4.22) x = f c ( y ) , y = g c ( t , x , y ) .

Using Lemma 15, we see that all the assumptions of Theorem 14 hold, so that problem (4.22) has a T-periodic solution (x,y).

We now show that |y(t)|c for every t, implying that (x,y) is indeed a solution of problem (4.18). By contradiction, assume that maxy>c, or miny<-c. Let us treat the first case, the other one being similar. By periodicity, there exists a ξ[0,T] such that x(ξ)=0 and, correspondingly, y(ξ)=0. Let ξ1 and ξ2 be such that |ξ2-ξ1|T2, y(ξ1)=0, y(ξ2)=c, and y(t)]0,c[ for every t]ξ1,ξ2[. (When ξ1>ξ2, we write ]ξ1,ξ2[=]ξ2,ξ1[ and [ξ1,ξ2]=[ξ2,ξ1].) For every t[ξ1,ξ2], by (4.19) we have

| y ( t ) | ζ ( ϕ - 1 ( y ( t ) ) ) ,

so that, by (4.21),

| ξ 2 - ξ 1 | | ξ 1 ξ 2 y ( t ) ζ ( ϕ - 1 ( y ( t ) ) ) 𝑑 t | = 0 ϕ - 1 ( c ) ϕ ( s ) ζ ( s ) 𝑑 s > T 2 ,

a contradiction. ∎

The above corollary generalizes [13, Proposition 3.7], where ζ(s) is a constant function with positive value K<2T.

4.1 Proof of Theorem 14

4.1.1 An Auxiliary Problem

Let us set

(4.23) d y := max { y α , y β , α , β , c ^ } ,

where, for all these functions, the norm can be defined as in (3.3).

We recall here a classical result, which is a straightforward consequence of the Gronwall Lemma, often mentioned as elastic property.

Lemma 18.

For every constant K>0 we can define a function EK:[0,+[[0,+[ with the following property: given a differentiable function z:RR satisfying

| z ( t ) | 𝒦 ( 1 + | z ( t ) | ) for every  t ,

if |z(t¯)|Z for a certain t¯R, then |z(t)|EK(Z) for every t[t¯-T,t¯+T].

For example, we can take 𝒦(Z)=(Z+𝒦T)e𝒦T.

Using the notation introduced in the previous lemma, let us now set

D := M ( d y ) ,

where M and dy have been introduced respectively in (4.3) and (4.23).

By assumption (H2), we can find a sufficiently large constant Λ>1 such that

(4.24) | γ ± ( x ; λ ) | > D for every  x [ A , B ]  and  λ Λ .

Figure 3 
              A sketch of the section at a fixed time t of the regions NΛ{N_{\Lambda}}, CΛ{C_{\Lambda}}, and SΛ{S_{\Lambda}}. Notice that the vertical lines x=a{x=a} and x=b{x=b} move in time, while the curves γ±⁢(⋅,Λ){\gamma_{\pm}(\,\cdot\,,\Lambda)} are fixed.
Figure 3

A sketch of the section at a fixed time t of the regions NΛ, CΛ, and SΛ. Notice that the vertical lines x=a and x=b move in time, while the curves γ±(,Λ) are fixed.

Let us introduce the sets

N Λ := { ( t , x , y ) 3 : a ( t ) x b ( t ) , y > γ + ( x ; Λ ) } ,
C Λ := { ( t , x , y ) 3 : a ( t ) x b ( t ) , γ - ( x ; Λ ) y γ + ( x ; Λ ) } ,
S Λ := { ( t , x , y ) 3 : a ( t ) x b ( t ) , y < γ - ( x ; Λ ) }

(see Figure 3).

Lemma 19.

There are two constants x and y with the following property: if u=(x,y) is a solution of

(4.25) x = f ( t , x , y ) , y =