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17 October 2025

Existence of Positive Solutions for a System of Generalized Laplacian Problems

Department of Mathematics Education, Chinju National Univeristy of Education, Jinju 52673, Republic of Korea

Abstract

This paper investigates the existence and multiplicity of positive solutions for a system of generalized Laplacian problems. By analyzing the asymptotic behavior of nonlinearity, we establish conditions for the existence of positive solutions and the presence of multiple positive solutions. Our main results reveal how the norm of the positive solutions behaves as the parameter λ approaches 0 or , specifically that the norm tends to either 0 or .

1. Introduction

In this paper, we investigate the existence of positive solutions to the following system:
( P ( t ) Φ ( u ( t ) ) ) + λ h ( t ) f ( u ( t ) ) = θ , t ( 0 , 1 ) , u ( 0 ) = u ( 1 ) = θ ,
where λ R + : = [ 0 , ) is a parameter and θ denotes the origin of R N with N 2 . The vector-valued function P : = ( p 1 , , p N ) is defined with p i C ( [ 0 , 1 ] , ( 0 , ) ) for i { 1 , , N } . The vector-valued function Φ : R N R N is defined by
Φ ( s ) = ( φ 1 ( s 1 ) , , φ N ( s N ) ) for s = ( s 1 , , s N ) R N ,
where each φ i : R R is an odd increasing homeomorphism for i { 1 , , N } . In addition, h : = ( h 1 , , h N ) is a vector-valued function with h i C ( ( 0 , 1 ) , ( 0 , ) ) for i { 1 , , N } , and f : = ( f 1 , , f N ) is a vector-valued function with f i C ( R + N , R + ) such that f i ( y ) > 0 for y R + N { θ } and i { 1 , , N } . Here R + N : = { ( x 1 , , x N ) : x j R + for 1 j N } . The symbol • denotes the entry-wise product, i.e., ( a 1 , , a N ) ( b 1 , , b N ) : = ( a 1 b 1 , , a N b N ) .
By a solution u = ( u 1 , , u N ) to problem (1), we mean a vector-valued function u = ( u 1 , , u N ) C 1 ( ( 0 , 1 ) , R N ) that satisfies (1). A solution u = ( u 1 , , u N ) to problem (1) is positive if for each i { 1 , , N } , u i ( t ) 0 for all t [ 0 , 1 ] and at least one component of u is nontrivial. We note that according to Lemma 1(2), any nontrivial component of u is positive on ( 0 , 1 ) .
For any increasing homeomorphism ϑ : R + R + , we define
H ϑ : = k C ( ( 0 , 1 ) , R + ) : 0 1 ϑ 1 s 1 2 k ( τ ) d τ d s < .
In the present work, we adopt the following hypotheses. Hypothesis ( K 1 ) will be assumed in all the subsequent sections, whereas ( K 2 ) will be invoked only in Section 3, where the main results are established:
(K1)
For each i { 1 , , N } , there exist increasing homeomorphisms ψ i 1 , ψ i 2 : R + R + such that
φ i ( x ) ψ i 1 ( y ) φ i ( x y ) φ i ( x ) ψ i 2 ( y ) for all x , y R + .
(K2)
h i H ψ i 1 { 0 } for all i { 1 , , N } .
As is well-known, it follows from ( K 1 ) that, for i { 1 , , , N } ,
φ i 1 ( x ) ( ψ i 2 ) 1 ( y ) φ i 1 ( x y ) φ i 1 ( x ) ( ψ i 1 ) 1 ( y ) for all x , y R +
and
L 1 ( 0 , 1 ) C ( 0 , 1 ) H ψ i 1 H φ i H ψ i 2 .
(see, e.g., Remark 1 in [1]).
For many years, the study of nonlinear elliptic and parabolic problems has been important because of their rich math structures and many applications. The generalized Laplacian problem unifies many nonlinear operators, improving classical models and letting us handle problems with variable growth, anisotropy, and nonstandard boundary conditions. One of the most prominent examples is the p ( x ) -Laplacian operator, which shows up in models of electrorheological fluids, whose viscosity depends on the local strength of an applied electric field [2,3]. It has also been successfully applied to image processing and signal analysis. For instance, the generalized Laplacian is utilized in graph-based image filtering, segmentation, restoration, and multi-channel processing [4,5], and nonlinear models with variable growth structures have been applied to advanced applications like MRI super-resolution problems [6]. Furthermore, graph-based methodologies are used for denoising and blob detection [7,8]. Another important area is the double phase problem, where the energy density alternates between two polynomial growths depending on the region of the domain. This model effectively describes composite and heterogeneous materials with different mechanical responses [9,10], and elastic bodies with multiple competing phases. In addition, fractional double phase operators have been introduced to capture long-range interactions in media with heterogeneous microstructure [11]. More generally, generalized Laplacian operators are widely used in nonlinear elasticity, non-Newtonian fluid mechanics, and reaction–diffusion systems that appear in science and biology [12,13].
In recent decades, considerable attention has been devoted to the study of positive solutions for boundary value problems involving generalized Laplacian operators. Early contributions mainly focused on the scalar case (see, e.g., [14,15,16,17]), where topological methods were used to establish existence and multiplicity results. Building upon the scalar results, subsequent works have shifted the system case ([18,19,20,21,22]), providing conditions for the existence and multiplicity of positive solutions. For example, Wang [18] laid the foundation for generalized elliptic systems by proving the existence and multiplicity of positive solutions under specific structural hypotheses on the nonlinearity, while Medekhel et al. [22] investigated a parabolic ( p ( x ) , q ( x ) ) -Laplacian system, establishing its existence and asymptotic behavior using sub- and super-solution methods.
More recently, Li et al. [23] investigated a system of fractional q-difference equations with generalized p-Laplacian operators, establishing existence results of positive solutions under various superlinear and sublinear conditions. Furthermore, Yang and Zhang [24] studied a ( p , q ) -Laplacian coupled system with perturbations and two parameters on locally finite graphs, proving the existence and multiplicity of nontrivial solutions by means of variational methods.
This paper extends previous research by analyzing a system of generalized Laplacian problems with a parameter λ . While earlier studies ([18,19,20,21]) focused on cases where the operator’s characteristics were uniform across all equations (i.e., φ i was the same for all i) and required the function p i to be non-decreasing on [ 0 , 1 ] , our work considers a more general setting where these conditions are relaxed. Our approach accommodates a variable operator φ i and makes no monotonicity assumption on p i . Moreover, unlike the aforementioned papers that primarily focused on establishing the existence and multiplicity of positive solutions, our study provides a more detailed analysis of the asymptotic behavior of the solution norm with respect to the parameter λ .
Our main contributions are twofold. First, depending on the behavior of the nonlinearity at zero and , we establish the existence of a positive solution for every λ > 0 and precisely determine the asymptotic behavior of the solution norm as λ tends to 0 or . These results provide a global existence result along with precise asymptotic information. Second, under different structural assumptions on the nonlinearity, we prove the existence of two distinct positive solutions for certain ranges of the parameter λ . We also determine the asymptotic behavior of these solutions as λ tends to 0 or . Unlike the first case, however, this multiplicity result leaves open the question of global existence for all λ > 0 .
The remainder of this paper is organized as follows: Section 2 presents the preliminary results and their immediate consequences. Section 3 establishes the auxiliary lemmas and our main results, illustrating them with examples. Section 4 concludes with a summary of the main results and a discussion of open problems, particularly concerning the global existence of positive solutions under the assumptions in Theorem 4.

2. Preliminaries

Throughout this section, we assume that ( K 1 ) and h i H φ i for all i { 1 , , N } hold.
Let
X : = { ( v 1 , , v N ) : v i C [ 0 , 1 ] for 1 i N }
and
v X : = i = 1 N v i for v = ( v 1 , , v N ) X .
Here,
w : = max { | w ( t ) | : t [ 0 , 1 ] } for w C [ 0 , 1 ] .
Then ( X , · X ) is a Banach space. For s = ( s 1 , , s N ) R N , let s N : = i = 1 N | s i | .
Let K : = P 1 × × P N . Here, for i { 1 , , N } , P i is the set of all nonnegative continuous functions v i satisfying, for t [ 1 4 , 3 4 ] ,
v i ( t ) 1 4 p i 1 v i .
Here p i 1 : = ψ 2 1 1 p i ψ 1 1 1 p i 0 1 ( 0 , 1 ] and p i 0 : = min t [ 0 , 1 ] p i ( t ) > 0 . Then K is a cone in X . For v = ( v 1 , , v N ) K and t [ 1 4 , 3 4 ] ,
v ( t ) N = i = 1 N v i ( t ) i = 1 N 1 4 p i 1 v i ρ v X .
Here ρ : = min { 1 4 p i 1 : 1 i N } .
For l > 0 , let
K l : = { v K : v X < l } , K l : = { v K : v X = l }   and   K ¯ l : = K l K l .
Let i { 1 , , N } be given. For g i H φ i , consider the following problem
( p i ( t ) φ i ( u i ( t ) ) ) + g i ( t ) = 0 , t ( 0 , 1 ) , u i ( 0 ) = u i ( 1 ) = 0 .
Define a function S i : H φ i C [ 0 , 1 ] by, for g i H φ i ,
S i ( g ) ( t ) = 0 t φ i 1 1 p i ( s ) s σ i g i ( ϱ ) d ϱ d s , if 0 t σ i , t 1 φ i 1 1 p i ( s ) σ i s g i ( ϱ ) d ϱ d s , if σ i t 1 .
Here σ i = σ i ( g i ) is a constant satisfying
0 σ i φ i 1 1 p i ( s ) s σ i g i ( ϱ ) d ϱ d s = σ i 1 φ i 1 1 p i ( s ) σ i s g i ( ϱ ) d ϱ d s .
For any g i H φ i and any σ i satisfying (7), S i ( g i ) is monotone increasing on [ 0 , σ i ) and monotone decreasing on ( σ i , 1 ] . Note that σ i = σ ( g i ) is not necessarily unique, but S i ( g i ) is independent of the choice of σ i satisfying (7) (see [25] [Remark 2]).
Based on Lemmas 1 and 2 in [1], we have the following lemma:
Lemma 1.
Let  i { 1 , , N }  be given, and assume that  ( K 1 )  and  g i H φ i  hold. Then
(1) 
S i ( g i )  is a unique solution to problem (5) with the following property:
S i ( g i ) ( t ) min { t , 1 t } p i 1 S i ( g i )
for  t [ 0 , 1 ] , and thus  S i ( g i ) P i .
(2) 
If  g i 0 ,  then there exists a subinterval  [ σ i 1 , σ i 2 ]  of  ( 0 , 1 )  such that
( S i ( g i ) ) ( t ) > 0 , t ( 0 , σ i 1 ) ,   ( S i ( g i ) ) ( t ) = 0 ,   t [ σ i 1 , σ i 2 ]   and   ( S i ( g i ) ) ( t ) < 0 , t ( σ i 2 , 1 ) .
Define a function G i : R + × K C ( 0 , 1 ) by, for t ( 0 , 1 ) ,
G i ( λ , u ) ( t ) : = λ h i ( t ) f i ( u 1 ( t ) , , u N ( t ) )
for λ R + and u = ( u 1 , , u N ) K . From the fact that h i H φ and the continuity of f i , it clearly follows that
G i ( λ , u ) H φ
for any ( λ , u ) R + × K .
Next, we define an operator H : R + × K K by
H ( λ , u ) : = ( T 1 ( λ , u ) , , T N ( λ , u ) )
for ( λ , u ) R + × K . Here,
T i ( λ , u ) : = S i ( G i ( λ , u ) )
for ( λ , u ) R + × K and i { 1 , , N } . More precisely, for ( λ , u ) R + × K ,
T i ( λ , u ) ( t ) = 0 t φ 1 ( 1 p i ( s ) s σ G i ( λ , u ) ( τ ) d τ ) d s , if 0 t σ i , t 1 φ 1 ( 1 p i ( s ) σ s G i ( λ , u ) ( τ ) d τ ) d s , if σ i t 1 .
Here, for i { 1 , , N } , σ i = σ i ( λ , u ) is a number that satisfies
0 σ i φ 1 1 p i ( s ) s σ i G i ( λ , u ) ( τ ) d τ d s = σ i 1 φ 1 1 p i ( s ) σ i s G i ( λ , u ) ( τ ) d τ d s .
By Lemma 1 ( 1 ) ,
T i ( λ , u ) P i
for all ( λ , u ) R + × K and i { 1 , , N } , which implies
H ( R + × K ) K .
Remark 1.
( 1 )  It is evident that (1) has a solution if and only if H ( λ , · ) has a fixed point in K .
( 2 )  From  H ( 0 , u ) = 0  for any  u K , it follows that θ is a unique solution to problem (1) with λ = 0 .
( 3 )  By Lemma 1(2), u is a positive solution, provided that u is a nontrivial solution to problem (1).
Using (3), by similar arguments as in the proof of Lemma 3 in [14], one can show that, for i { 1 , , N } , T i : R + × K P i is completely continuous. Thus the complete continuity of H can be obtained as follows:
Lemma 2.
Assume that ( K 1 ) and h i H φ i for all i { 1 , , N } hold. Then the operator H : R + × K K is completely continuous.
For i { 1 , , N } and m R + , let
( f i ) * ( m ) : = min { f i ( y ) : y R + N with ρ m y N m }
and
( f i ) * ( m ) : = max { f i ( y ) : y R + N with y N m } .
For a { 0 , } and i { 1 , , N } , let
f i a : = lim y N a f i ( y ) φ i ( y N ) .
Remark 2.
It is straightforward to observe that, for  a { 0 , }  and  i { 1 , , N } ,
lim m a ( f i ) * ( m ) φ i ( m ) = lim m a ( f i ) * ( m ) φ i ( m ) = 0   if   f i a = 0
and
lim m a ( f i ) * ( m ) φ i ( m ) = lim m a ( f i ) * ( m ) φ i ( m ) = if f i a = .
For the reader’s convenience, we provide proof. First, we show that  f i 0 = 0  implies
lim m 0 ( f i ) * ( m ) φ i ( m ) = lim m 0 ( f i ) * ( m ) φ i ( m ) = 0 .
Let  ϵ > 0  be given and  f i 0 = 0  be assumed. Then there exists  δ > 0  such that for any s with  s N ( 0 , δ ) ,
0 < f i ( s ) φ i ( s N ) < ϵ .
Since  f i C ( R + N , R + ) , by the extreme value theorem, for any  m ( 0 , δ ) ,   ( f i ) * ( m ) = f i ( x m )  for some  x m R + N { θ }  with  x m N m . Then
0 ( f i ) * ( m ) φ i ( m ) ( f i ) * ( m ) φ i ( m ) = f i ( x m ) φ i ( m ) f i ( x m ) φ i ( x m N ) < ϵ
for any  m ( 0 , δ ) ,  which implies
lim m 0 ( f i ) * ( m ) φ i ( m ) = lim m 0 ( f i ) * ( m ) φ i ( m ) = 0 .
Next, we prove that  f i = 0  implies
lim m ( f i ) * ( m ) φ i ( m ) = lim m ( f i ) * ( m ) φ i ( m ) = 0 .
Indeed, let  ϵ > 0  be given and  f i = 0  be assumed. Then there exists  N > 0  such that  y R + N  with  y N N , 
f i ( y ) φ i ( y N ) < ϵ .
 For any m with  m N ,
( f i ) * ( m ) ( f i ) * ( N ) + f i ( y N , m ) ,
 where  y N , m R + N  satisfies
N y N , m N m and f i ( y N , m ) = max { f i ( y ) : N y N m } .
Then
0 ( f i ) * ( m ) φ i ( m ) ( f i ) * ( m ) φ i ( m ) ( f i ) * ( N ) φ i ( m ) + ( f i ) * ( y N , m ) φ i ( y N , m N ) ( f i ) * ( N ) φ i ( m ) + ϵ .
Consequently,
0 lim sup m ( f i ) * ( m ) φ i ( m ) lim sup m ( f i ) * ( m ) φ i ( m ) ϵ ,
which is true for all ϵ > 0 . Thus
lim m ( f i ) * ( m ) φ i ( m ) = lim m ( f i ) * ( m ) φ i ( m ) = 0 .
Finally, we establish that, for  a { 0 , } , f i a =  implies
lim m a ( f i ) * ( m ) φ i ( m ) = lim m a ( f i ) * ( m ) φ i ( m ) = .
 For each  m ( 0 , ) ,  the extreme value theorem ensures the existence of  y m R + N  with  ρ m     y m N   m  satisfying  ( f i ) * ( m ) = f i ( y m ) .  Hence 
( f i ) * ( m ) φ i ( m ) ( f i ) * ( m ) φ i ( m ) = f i ( y m ) φ i ( m ) f i ( y m ) φ i ( y m N ) ψ i 2 ( m y m N ) f ( y m ) φ i ( y m N ) ψ i 2 ( ρ 1 ) .
As m a { 0 , } , y m N a , and thus f i a = implies
lim m a ( f i ) * ( m ) φ i ( m ) = lim m a ( f i ) * ( m ) φ i ( m ) = .
Finally, we recall a well-known theorem of the fixed point index theory.
Theorem 1.
(see, e.g., [26,27]). Assume that, for some r > 0 , T : K ¯ r K is completely continuous. Then
( i )   if   T ( v ) X > v X   for   v K r ,   then   i ( T , K r , K ) = 0 ;
( i i ) if T ( v ) X < v X for v K r ,   then   i ( T , K r , K ) = 1 .

3. Main Results

In this section, we assume that ( K 1 )  and  ( K 2 )  hold. For  i { 1 , , N }  , define continuous functions  R i 1 : ( 0 , ) ( 0 , )  and  R i 2 : ( 0 , ) ( 0 , )  by 
R i 1 ( m ) : = C 1 p i 0 φ i ( m ) ( f i ) * ( m )   and   R i 2 ( m ) : = C 2 p i φ i ( m ) ( f i ) * ( m )   for   m ( 0 , ) .
Here,
C 1 : = min 1 i N ψ i 1 1 2 0 1 2 ( ψ i 1 ) 1 s 1 2 h i ( τ ) d τ d s 1 , ψ i 1 1 2 1 2 1 ( ψ i 1 ) 1 1 2 s h i ( τ ) d τ d s 1
and
C 2 : = max 1 i N ψ i 2 1 4 1 2 ( ψ i 2 ) 1 s 1 2 h i ( τ ) d τ d s 1 , ψ i 2 1 2 3 4 ( ψ i 2 ) 1 1 2 s h i ( τ ) d τ d s 1 .
By (2) and (3), ψ i 1 ( z ) ψ i 2 ( z )  and  ( ψ i 2 ) 1 ( z ) ( ψ i 1 ) 1 ( z )  for  z R + .  Thus
0 < C 1 < C 2   and   0 < R i 1 ( m ) < R i 2 ( m )
for all  i { 1 , , N }  and all  m ( 0 , ) .
Let, for m ( 0 , ) ,
R * 1 ( m ) : = min { R i 1 ( m ) : 1 i N }   and   R * 2 ( m ) : = min { R i 2 ( m ) : 1 i N } .
Then, for all m ( 0 , ) ,
0 < R * 1 ( m ) < R * 2 ( m ) .
Lemma 3.
Assume that  ( K 1 )  and  ( K 2 )  hold. Let  m ( 0 , )  be fixed. Then, for any  λ ( 0 , R * 1 ( m ) ) ,
H ( λ , v ) X < v X for all v K m
and
i ( H ( λ , · ) , K m , K ) = 1 .
Proof. 
Let λ ( 0 , R * 1 ( m ) ) and v K m be fixed. Then v X = m and
v ( t ) N m   for   t [ 0 , 1 ] .
Let i { 1 , , N } be given. Since λ ( 0 , R * 1 ( m ) ) ,
λ f i ( v ( t ) ) λ ( f i ) * ( m ) = λ φ i ( m ) R i 1 ( m ) C 1 p i 0 < φ i ( m ) C 1 p i 0 for t [ 0 , 1 ] .
Let σ i be a number satisfying T i ( λ , v ) ( σ i ) = T i ( λ , v ) . We consider two cases: either ( i ) σ i ( 0 , 1 2 ) or ( i i ) σ i [ 1 2 , 1 ) .
Case (i): σ i ( 0 , 1 2 ) . From (3), (11), and the definition of C 1 , it follows that
T i ( λ , v ) = 0 σ i φ i 1 1 p i ( s ) s σ i λ h i ( τ ) f i ( v ( τ ) ) d τ d s < 0 1 2 φ i 1 s 1 2 h ( τ ) d τ φ i ( m ) C 1 d s 0 1 2 ( ψ i 1 ) 1 s 1 2 h ( τ ) d τ d s φ i 1 φ i ( m ) C 1 ) 0 1 2 ( ψ i 1 ) 1 s 1 2 h ( τ ) d τ d s ( ψ i 1 ) 1 C 1 m 1 2 v X .
Case (ii): σ i [ 1 2 , 1 ) . Similarly, from (3), (11), and the definition of C 1 , it follows that
T i ( λ , v ) = σ i 1 φ i 1 1 p i ( s ) σ i s λ h i ( τ ) f i ( v ( τ ) ) d τ d s < 1 2 1 φ i 1 1 2 s h ( τ ) d τ φ i ( m ) C 1 d s 1 2 1 ( ψ i 1 ) 1 1 2 s h ( τ ) d τ d s φ i 1 φ i ( m ) C 1 ) 1 2 1 ( ψ i 1 ) 1 1 2 s h ( τ ) d τ d s ( ψ i 1 ) 1 C 1 m 1 2 v X .
Thus H ( λ , v ) X < v X for all v K m , and by Theorem 1, (10) holds for any λ ( 0 , R * 1 ( m ) ) . □
Lemma 4.
Assume that ( K 1 )  and  ( K 2 )  hold. Let  m ( 0 , )  be fixed. Then, for any  λ ( R * 2 ( m ) , ) ,
H ( λ , v ) X > v X   for all   v K m
 and
i ( H ( λ , · ) , K m , K ) = 0 .
Proof. 
Let λ ( R * 2 ( m ) , ) and v K m be fixed. Then v X = m and, by (4),
ρ m v ( t ) | | N m   for   t [ 1 4 , 3 4 ] .
For fixed i satisfying R i 2 ( m ) = R * 2 ( m ) ,
λ f i ( v ( t ) ) λ ( f i ) * ( m ) = λ φ i ( m ) R i 2 ( m ) C 2 p i > φ i ( m ) C 2 p i for t [ 1 4 , 3 4 ] .
Let σ i be a number satisfying T i ( λ , v ) ( σ i ) = T i ( λ , v ) . We have two cases: either ( i ) σ i [ 1 2 , 1 ) or ( i i ) σ i ( 0 , 1 2 ) . We only consider case ( i ) , since case ( i i ) can be dealt in a similar manner. Since λ > R i 2 ( m ) , it follows from (3), (13), and the definition of C 2 that
T i ( λ , v ) = 0 σ i φ i 1 1 p i ( s ) s σ λ h i ( τ ) f i ( v ( τ ) ) d τ d s > 1 4 1 2 φ i 1 s 1 2 h i ( τ ) d τ φ i ( m ) C 2 d s 1 4 1 2 ( ψ i 2 ) 1 s 1 2 h i ( τ ) d τ d s φ i 1 ( φ i ( m ) C 2 ) 1 4 1 2 ( ψ i 2 ) 1 s 1 2 h i ( τ ) d τ d s ( ψ i 2 ) 1 ( C 2 ) m m = v X .
Thus H ( λ , v ) X > v X for all v K m , and by Theorem 1, (12) holds for any λ ( R * 2 ( m ) , ) . □
By Lemmas 3 and 4, we give the result for the existence of positive solutions to problem (1).
Theorem 2.
Assume that  ( K 1 )  and  ( K 2 )  hold, and that there exist positive constants  m 1  and  m 2  such that  m 1 < m 2  (resp.,  m 2 < m 1 ) and  R * 2 ( m 2 ) < R * 1 ( m 1 ) .  Then problem (1has a positive solution  u = u ( λ )  satisfying  m 1 < u < m 2  (resp.,  m 2 < u < m 1 ) for any  λ ( R * 2 ( m 2 ) , R * 1 ( m 1 ) ) .
Proof. 
We prove only the case 0 < m 1 < m 2 , since the other case m 2 < m 1 is analogous. Let λ ( R * 2 ( m 2 ) , R * 1 ( m 1 ) ) be given. From Lemmas 3 and 4, it follows that
i ( H ( λ , · ) , K m 1 , K ) = 1 and i ( H ( λ , · ) , K m 2 , K ) = 0 .
Since H ( λ , v ) v for all v K m 1 , the additivity property implies
i ( H ( λ , · ) , K m 2 K ¯ m 1 , K ) = 1 .
Hence, by the solution property, there exists  u K m 2 K ¯ m 1  such that  H ( λ , u ) = u . This completes the proof. □
For a { 0 , } , let f a : = i = 1 N f i a . Recall that
f i a = lim y N a f i ( y ) φ i ( y N )   for   i { 1 , , N } .
Remark 3.
For  a { 0 , } ,
f a = 0   if and only if   f i a = 0   for all   i { 1 , , N }
and
f a =   if and only if   f i a =   for some   i { 1 , , N } .
By Remark 2, for  a { 0 , } ,
lim m a R * 1 ( m ) = lim m a R * 2 ( m ) = if f a = 0
and
lim m a R * 1 ( m ) = lim m a R * 2 ( m ) = 0 if f a = .
Theorem 3.
Assume that ( K 1 ) and ( K 2 ) hold.
(1) 
If  f 0 = 0  and  f = , then problem (1has a positive solution  u ( λ )  for any  λ ( 0 , )  satisfying 
u λ X   as   λ 0   and   u λ X 0   as   λ .
(2) 
If  f 0 = and f = 0 , then problem (1) has a positive solution u ( λ ) for any λ ( 0 , ) satisfying
u λ X 0   as   λ 0   and   u λ X   as   λ .
Proof. 
We prove only the case f 0 = 0 and f = , as the case f 0 = and f = 0 can be treated analogously. Since f 0 = 0 and f = , it follows from Remark 3 that
R * j ( m )   as   m 0   and   R * j ( m ) 0   as   m   for all   j { 1 , 2 } .
For any λ ( 0 , ) , by (9), there exist m 1 ( λ ) and m 2 ( λ ) such that
0 < m 1 ( λ ) < m 2 ( λ )   and   R * 2 ( m 2 ( λ ) ) < λ < R * 1 ( m 1 ( λ ) ) .
By Theorem 2, there exists a positive solution u λ to problem (1) such that m 1 ( λ ) < u λ X < m 2 ( λ ) . Since R * j ( m ) as m 0 for all j { 1 , 2 } , we can choose m 1 ( λ ) and m 2 ( λ ) such that
0 < m 1 ( λ ) < m 2 ( λ )   and   m 2 ( λ ) 0   as   λ .
Consequently, we can choose a positive solution u λ to problem (1) for large λ > 0 so that u λ X 0 as λ . Similarly, since R * j ( m ) 0 as m for all j { 1 , 2 } , we can choose a positive solution u λ to problem (1) for small λ > 0 so that u λ X as λ 0 . □
Theorem 4.
Assume that  ( K 1 )  and  ( K 2 )  hold.
(1) 
If  f 0 = f = 0 ,  then there exists  λ * ( 0 , )  such that problem (1has two positive solutions  u 1 ( λ )  and  u 2 ( λ )  for any  λ ( λ * , )  and it has a positive solution  u ( λ * )  for  λ = λ * . Moreover,  u 1 ( λ )  and  u 2 ( λ )  can be chosen so that
lim λ u 1 ( λ ) X = 0   and   lim λ u 2 ( λ ) X = .
(2) 
If  f 0 = f = ,  then there exists  λ * ( 0 , )  such that problem (1) has two positive solutions  u 1 ( λ )  and  u 2 ( λ )  for any  λ ( 0 , λ * )  and it has a positive solution  u ( λ * )  for  λ = λ * . Moreover,  u 1 ( λ )  and  u 2 ( λ )  can be chosen so that
lim λ 0 u 1 ( λ ) X = 0   and   lim λ 0 u 2 ( λ ) X = .
Proof. 
( 1 ) Since f 0 = f = 0 , it follows that
lim m 0 R * j ( m ) = lim m R * j ( m ) =   for all   j { 1 , 2 } .
Then there exists m * ( 0 , ) satisfying R * 2 ( m * ) = min { R * 2 ( m ) : m R + } ( 0 , ) . Let λ * = R * 2 ( m * ) . For any λ ( λ * , ) , by (9), there exist m 1 ( λ ) , m 2 ( λ ) , M 1 ( λ ) , and M 2 ( λ ) such that
0 < m 1 ( λ ) < m 2 ( λ ) < m * < M 2 ( λ ) < M 1 ( λ )
and
R * 2 ( m 2 ( λ ) ) = R * 2 ( M 2 ( λ ) ) < λ < R * 1 ( m 1 ( λ ) ) = R * 1 ( M 1 ( λ ) ) .
By Theorem 2, positive solutions u 1 ( λ ) and u 2 ( λ ) to problem (1) exist that satisfy
m 1 ( λ ) < u 1 ( λ ) X < m 2 ( λ )   and   M 2 ( λ ) < u 2 ( λ ) X < M 1 ( λ ) .
Since lim m 0 R * j ( m ) = lim m R * j ( m ) = for all j { 1 , 2 } , we can choose m 2 ( λ ) and M 2 ( λ ) satisfying
m 2 ( λ ) 0   and   M 2 ( λ )   as   λ .
Consequently, we can choose positive solutions u 1 ( λ ) and u 2 ( λ ) to problem (1) for large λ > 0 so that
u 1 ( λ ) X 0   and   u 2 ( λ ) X   as   λ .
For each n N , let λ n : = λ * + 1 n . We can then choose m 1 n and m 2 n such that
0 < ϵ < m 1 n < m 2 n < m *   and   R * 2 ( m 2 n ) < λ n < R * 1 ( m 1 n )   for all   n .
Consequently, for each n , there exists a positive solution u n K to problem (1) such that
H ( λ n , u n ) = u n   and   ϵ < u n X < m * .
Since { ( λ n , u n ) } is bounded in R + × K and H : R + × K K is compact, there exist a subsequence { ( λ n k , u n k ) } of { ( λ n , u n ) } and u * K such that
H ( λ n k , u n k ) = u n k u *   in   K   as   k .
Given that λ n λ * as n and H is continuous,
H ( λ * , u * ) = u *   and   u * X ϵ > 0 .
Therefore, problem (1) has a positive solution u * for λ = λ * . The proof is now complete.
( 2 ) Since f 0 = f = , it follows that
lim m 0 R * j ( m ) = lim m R * j ( m ) = 0   for all   j { 1 , 2 } .
Let λ * = max { R * 1 ( m ) : m R + } ( 0 , ) and m * ( 0 , ) , satisfying R * 1 ( m * ) = λ * . Then the proof is complete by the argument similar to those in the proof of Theorem 4 ( 1 ) . □
Finally, we conclude by providing some examples that illustrate the assumptions of Theorems 3 and 4.
Example 1.
Consider
( ( 1 + t 2 ) φ 1 ( u 1 ( t ) ) ) + λ h 1 ( t ) f 1 ( u 1 ( t ) , u 2 ( t ) ) = 0 , t ( 0 , 1 ) , ( ( 1 + t ) 1 φ 2 ( u 2 ( t ) ) ) + λ h 2 ( t ) f 2 ( u 1 ( t ) , u 2 ( t ) ) = 0 , t ( 0 , 1 ) , u 1 ( 0 ) = u 1 ( 1 ) = u 2 ( 0 ) = u 2 ( 1 ) = 0 .
Let
φ 1 ( x ) = x | x | 1 + | x |   and   φ 2 ( x ) = x + x 3   for   x R .
 It is easy to verify that condition  ( K 1 )  holds for
ψ 1 1 ( y ) = min { y , y 2 } ,   ψ 1 2 ( y ) = max { y , y 2 } ,   ψ 2 1 ( y ) = min { y , y 3 } ,   and   ψ 2 2 ( y ) = max { y , y 3 }   for   y R + .
Define  h 1 : ( 0 , 1 ) ( 0 , )  and  h 2 : ( 0 , 1 ) ( 0 , )  by
h 1 ( t ) = t a   and   h 2 ( t ) = ( 1 t ) b   for   t ( 0 , 1 ) ,
where  a , b [ 1 , 2 )  are fixed. Then, for  i { 1 , 2 } ,  ( ψ i 1 ) 1 ( s ) = s  for all  s 1 .  Consequently, condition  ( K 2 )  is also satisfied. 
In order to illustrate our results more concretely, we now discuss the four cases determined by  f 0  and  f :
First, for the case where  f 0 = 0  and  f = , one may take
f 1 ( s 1 , s 2 ) = ( s 1 + s 2 ) 3 = s 2 3 , f 2 ( s 1 , s 2 ) = ( s 1 + s 2 ) 2 = s 2 2   for   s = ( s 1 , s 2 ) R + 2 .
By Theorem 3(1), problem (16) has a positive solution  u ( λ )  for any  λ ( 0 , )  satisfying
u λ X   as   λ 0   and   u λ X 0   as   λ .
Next, if  f 0 =  and  f = 0 , for instance with
f 1 ( s 1 , s 2 ) = ( s 1 + s 2 ) 1 3 = s 2 1 3 , f 2 ( s 1 , s 2 ) = ( s 1 + s 2 ) 3 2 = s 2 3 2   for   s = ( s 1 , s 2 ) R + 2 ,
then by Theorem 3(2), problem (16) has a positive solution  u ( λ )  for any  λ ( 0 , )  satisfying
u λ X 0   as   λ 0   and   u λ X   as   λ .
Moreover, in the case where  f 0 = f = 0 , by choosing
f 1 ( s 1 , s 2 ) = ( s 1 + s 2 ) 3 = s 2 3 , if s 2 1 , ( s 1 + s 2 ) 1 2 = s 2 1 2 , if s 2 > 1
and
f 2 ( s 1 , s 2 ) = ( s 1 + s 2 ) 3 2 = s 2 3 2   for   s = ( s 1 , s 2 ) R + 2 ,
Theorem 4(1) shows that there exists  λ * ( 0 , )  such that (16) has two positive solutions  u 1 ( λ )  and  u 2 ( λ )  for any  λ ( λ * , )  and it has a positive solution  u ( λ * )  for  λ = λ * . Moreover,  u 1 ( λ )  and  u 2 ( λ ) can be chosen so that
lim λ u 1 ( λ ) X = 0   and   lim λ u 2 ( λ ) X = .
Finally, when  f 0 = f = , an example is given by
f 1 ( s 1 , s 2 ) = ( s 1 + s 2 ) 3 2 = s 2 3 2 , f 2 ( s 1 , s 2 ) = ( s 1 + s 2 ) 1 2 = s 2 1 2   for   s = ( s 1 , s 2 ) R + 2 .
According to Theorem 4(2), there exists  λ * ( 0 , )  such that problem (16) has two positive solutions  u 1 ( λ )  and  u 2 ( λ )  for any  λ ( 0 , λ * )  and it has a positive solution  u ( λ * )  for  λ = λ * . Moreover,  u 1 ( λ )  and  u 2 ( λ )  can be chosen so that
lim λ 0 u 1 ( λ ) X = 0   and   lim λ 0 u 2 ( λ ) X = .

4. Conclusions

In this work, we have investigated the existence of positive solutions to problem (1) under various growth conditions on the nonlinearity. Our main results are summarized in Theorems 3 and 4.
Theorem 3 establishes that, when the hypotheses ( K 1 ) and ( K 2 ) hold and the nonlinear term exhibits suitable asymptotic behavior, problem (1) admits a positive solution for every parameter λ ( 0 , ) . Moreover, the theorem provides detailed information on the asymptotic behavior of these solutions as λ 0 or λ , thereby providing a more comprehensive understanding of the solution structure in this case.
In contrast, Theorem 4 shows that, under different assumptions on the nonlinearity, one can guarantee the existence of two distinct positive solutions for problem (1), but only for certain ranges of the parameter λ . While this multiplicity result is significant, the theorem does not yield any information about the existence of positive solutions for the remaining values of λ . Hence, unlike Theorem 3, the global existence of positive solutions with respect to λ remains unclear in this setting.
This limitation suggests a natural direction for future research. A central open problem is to obtain further information on the existence or nonexistence of positive solutions for all values of λ > 0 under the assumptions of Theorem 4, possibly by introducing additional conditions on the nonlinearity. Achieving such a characterization, possibly by combining variational techniques, upper and lower solution methods, and bifurcation methods, would provide a more complete understanding of the solution set.

Funding

This research received no external funding.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The author declares no conflicts of interest.

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