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Hindawi Publishing Corporation Advances in Difference Equations Volume 2008, Article ID 796851, 13 pages doi:10.1155/2008/796851 ResearchArticleMultiplePositiveSolutionsintheSenseofDistributionsofSingularBVPsonTimeScalesandanApplicationtoEmden-Fowler Equations Ravi P. Agarwal, 1 Victoria Otero-Espinar, 2 Kanishka Perera, 1 and Dolores R. Vivero 2 1 Department of Mathematical Sciences, Florida Institute of Technology, Melbourne, FL 32901, USA 2 Departamento de An ´ alise Matem ´ atica, Facultade de Matem ´ aticas, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Galicia, Spain Correspondence should be addressed to Ravi P. Agarwal, agarwal@fit.edu Received 21 April 2008; Accepted 17 August 2008 Recommended by Paul Eloe This paper is devoted to using perturbation and variational techniques to derive some sufficient conditions for the existence ofmultiplepositivesolutionsinthesenseofdistributionsto a singular second-order dynamic equation with homogeneous Dirichlet boundary conditions, which includes those problems related tothe negative exponent Emden-Fowler equation. Copyright q 2008 Ravi P. Agarwal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1. Introduction TheEmden-Fowler equation, u ΔΔ tqt u α σt 0,t∈ 0, 1 T , 1.1 arises inthe study of gas dynamics and fluids mechanics, andinthe study of relativistic mechanics, nuclear physics, and chemically reacting system see, e.g., 1 andthe references therein for the continuous model. The negative exponent Emden-Fowler equation α<0 has been used in modeling non-Newtonian fluids such as coal slurries 2. The physical interest lies inthe existence ofpositive solutions. We are interested in a broad class ofsingular problem that includes those related with 1.1 andthe more general equation u ΔΔ tqt u α σt g t, u σ t ,t∈ 0, 1 T . 1.2 Recently, existence theory for positivesolutionsof second-order boundary value problems ontimescales has received much attention see, e.g., 3–6 for general case, 7 for the continuous case, and 8 for the discrete case. 2 Advances in Difference Equations In this paper, we consider the second-order dynamic equation with homogeneous Dirichlet boundary conditions: P ⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩ −u ΔΔ tF t, u σ t , Δ-a.e.t∈ D κ o , ut > 0,t∈ a, b T , ua0 ub, 1.3 where we say that a property holds for Δ-a.e. t ∈ A ⊂ T or Δ-a.e. on A ⊂ T, Δ-a.e., whenever there exists a set E ⊂ A with null Lebesgue Δ-measure such that this property holds for every t ∈ A \ E, T is an arbitrary time scale, subindex T means intersection to T, a, b ∈ T are such that a<ρb, D a, b T , D κ a, ρb T , D κ 2 a, ρ 2 b T , D o a, b T , D κ o a, ρb T , and F : D × 0, ∞ → R is an L 1 Δ -Carath ´ eodory function on compact subintervals of 0, ∞, that is, it satisfies the following conditions. Ci For every x ∈ 0, ∞, F·,x is Δ-measurable in D o . ii For Δ-a.e. t ∈ D o , Ft, · ∈ C0, ∞. C c For every x 1 ,x 2 ∈ 0, ∞ with x 1 ≤ x 2 , there exists m x 1 ,x 2 ∈ L 1 Δ D o such that Ft, x ≤ m x 1 ,x 2 t for Δ-a.e.t∈ D o ,x∈ x 1 ,x 2 . 1.4 Moreover, in order to use variational techniques and critical point theory, we will assume that F satisfy the following condition. PM For every x ∈ 0, ∞, function P F : D × 0, ∞ → R defined for Δ-a.e. t ∈ D and all x ∈ 0, ∞,as P F t, x : x 0 Ft, r dr, 1.5 satisfies that P F ·,x is Δ-measurable in D o . We consider the spaces C 1 0,rd D κ : C 1 rd D κ ∩ C 0 D, C 1 c,rd D κ : C 1 rd D κ ∩ C c D, 1.6 where C 1 rd D κ is the set of all continuous functions on D such that they are Δ-differentiable on D κ and their Δ-derivatives are rd-continuous on D κ , C 0 D is the set of all continuous functions on D that vanish onthe boundary of D,andC c D is the set of all continuous functions on D with compact support on a, b T . We denote as · CD the norm in CD,that is, the supremum norm. Onthe other hand, we consider the first-order Sobolev spaces H 1 Δ D : v : D −→ R : v ∈ ACD,v Δ ∈ L 2 Δ D o , H H 1 0,Δ D : v : D −→ R : v ∈ H 1 Δ D,va0 vb , 1.7 Ravi P. Agarwal et al. 3 where ACD is the set of all absolutely continuous functions on D. We denote as t 2 t 1 fsΔs t 1 ,t 2 T fsΔs for t 1 ,t 2 ∈ D, t 1 <t 2 ,f∈ L 1 Δ t 1 ,t 2 T . 1.8 The set H is endowed with the structure of Hilbert space together with the inner product ·, · H : H × H → R given for every v, w ∈ H × H by v, w H : v Δ ,w Δ L 2 Δ : b a v Δ s · w Δ sΔs; 1.9 we denote as · H its induced norm. Moreover, we consider the sets H 0,loc : H 1 loc,Δ D ∩ C 0 D, H c,loc : H 1 loc,Δ D ∩ C c D, 1.10 where H 1 loc,Δ D is the set of all functions such that their restriction to every closed subinterval J of a, b T belong tothe Sobolev space H 1 Δ J. We refer the reader to 9–11 for an introduction to several properties of Sobolev spaces and absolutely continuous functions on closed subintervals ofan arbitrary time scale, andto 12 for a broad introduction to dynamic equations ontime scales. Definition 1.1. u is said to be a solution inthesenseofdistributionsto P if u ∈ H 0,loc , u>0 on a, b T , and equality b a u Δ s · ϕ Δ s − F s, u σ s · ϕ σ s Δs 0 1.11 holds for all ϕ ∈ C 1 c,rd D κ . From the density properties ofthe first-order Sobolev spaces proved in 9, Seccion 3.2, we deduce that if u is solution inthesenseof distributions, then, 1.11 holds for all ϕ ∈ H c,loc . This paper is devoted to prove the existence ofmultiplepositivesolutionsto P by using perturbation and variational methods. This paper is organized as follows. In Section 2, we deduce sufficient conditions for the existence ofsolutionsinthesenseofdistributionsto P . Under certain hypotheses, we approximate solutionsinthesenseofdistributionsto problem P by a sequence of weak solutionsto weak problems. In Section 3, we derive some sufficient conditions for the existence of at least one or two positivesolutionsto P. These results generalize those given in 7 for T 0, 1, where problem P is defined onthe whole interval 0, 1 ∩ T andthe authors assume that F ∈ C0, 1 × 0, ∞, R instead of C and PM.Thesufficient conditions for the existence ofmultiplepositivesolutions obtained in this paper are applied to a great class of bounded timescales such as finite union of disjoint closed intervals, some convergent sequences and their limit points, or Cantor sets among others. 4 Advances in Difference Equations 2. Approximation to P by weak problems In this section, we will deduce sufficient conditions for the existence ofsolutionsinthesenseofdistributionsto P, where F f g and f, g : D × 0, ∞ → R satisfy C and PM, f satisfies C c ,andg satisfies the following condition. C g For every p ∈ 0, ∞, there exists M p ∈ L 1 Δ D o such that gt, x ≤ M p t for Δ-a.e.t∈ D o ,x∈ 0,p. 2.1 Under these hypotheses, we will be able to approximate solutionsinthesenseofdistributionsto problem P by a sequence of weak solutionsto weak problems. First of all, we enunciate a useful property of absolutely continuous functions on Dwhose proof we omit because of its simplicity. Lemma 2.1. If v ∈ ACD,thenv ± : max{± v,0}∈ACD, v Δ − v Δ · v Δ ≤ 0, v − Δ v Δ · v − Δ ≤ 0, 2.2 Δ-a.e. on D o . We fix {ε j } j≥1 a sequence ofpositive numbers strictly decreasing to zero; f or every j ≥ 1, we define f j : D × 0, ∞ → R as f j t, xf t, max x, ε j for every t, x ∈ D × 0, ∞. 2.3 Note that f j satisfies C and C g ; consider the following modified weak problem P j ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩ −u ΔΔ tf j t, u σ t g t, u σ t , Δ-a.e.t∈ D κ o , ut > 0,t∈ a, b T , ua0 ub. 2.4 Definition 2.2. u is said to be a weak solution to P j if u ∈ H, u>0ona, b T , and equality b a u Δ s · ϕ Δ s − f j s, u σ s g s, u σ s · ϕ σ s Δs 0 2.5 holds for all ϕ ∈ C 1 0,rd D κ . u is said to be a weak lower solution to P j if u ∈ Hu> 0ona, b T , and inequality b a u Δ s · ϕ Δ s − f j s, u σ s g s, u σ s · ϕ σ s Δs ≤ 0 2.6 holds for all ϕ ∈ C 1 0,rd D κ such that ϕ ≥ 0onD. Ravi P. Agarwal et al. 5 The concept of weak upper solution to P j is defined by reversing the previous inequality. We remark that the density properties ofthe first-order Sobolev spaces proved in 9, Seccion 3.2 allows to assert that relations in Definition 2.2 are valid for all ϕ ∈ H and for all ϕ ∈ H such that ϕ ≥ 0onD, respectively. By standard arguments, we can prove the following result. Proposition 2.3. Assume that f, g : D × 0, ∞ → R satisfy (C and (PM, f satisfies (C c , and g satisfies (C g . Then,ifforsomej ≥ 1 there exist u j and u j as a lower andan upper weak solution, respectively, to P j such that u j ≤ u j on D,thenP j has a weak solution u j ∈ u j , u j : {v ∈ H : u j ≤ v ≤ u j on D}. Next, we will deduce the existence of one solution inthesenseofdistributionsto P from the existence of a sequence of weak solutionsto P j . In order to do this, we fix {a k } k≥1 , {b k } k≥1 ⊂ D two sequences such that {a k } k≥1 ⊂ a, a b/2 T is strictly decreasing to a if a σa, a k a for all k ≥ 1ifa<σa and {b k } k≥1 ⊂ a b/2,b T is strictly increasing to b if ρbb, b k b for all k ≥ 1ifρb <b. We denote that D k :a k ,b k T , k ≥ 1. Moreover, we fix {δ k } k≥1 a sequence ofpositive numbers strictly decreasing to zero such that σ a k ,ρb k T ⊂ a δ k ,b− δ k T ,δ k ≤ b − a 2 for k ≥ 1. 2.7 Proposition 2.4. Suppose that F f g and f, g : D × 0, ∞ → R satisfy (C and (PM, f satisfies (C c , and g satisfies (C g . Then, if for every j ≥ 1, u j ∈ H is a weak solution to P j and ν δ : inf j≥1 min aδ,b−δ T ,u j > 0 ∀δ ∈ 0, b − a 2 , 2.8 M : sup j≥1 max D u j < ∞, 2.9 then a subsequence of {u j } j≥1 converges pointwise in D to a solution inthesenseofdistributions u 1 to P. Proof. Let k ≥ 1 be arbitrary; we deduce, from 2.2, 2.7, 2.8,and2.9, that there exists a constant K k ≥ 0 such that for all j ≥ 1, b k a k u Δ j s 2 Δs u Δ j a k 2 · μ a k u Δ j ρb k 2 · μ ρ b k ρb k σa k u Δ j s · u j − ν δ k Δ sΔs ≤ K k u j , u j − ν δ k H . 2.10 6 Advances in Difference Equations Therefore, for all j ≥ 1 so large that ε j <ν δ 1 ,asu j is a weak solution to P j , by taking ϕ 1 :u j − ν δ 1 ∈ H as the test function in 2.5,from2.9, C c and C g , we can assert that there exists l ∈ L 1 Δ D o such that b 1 a 1 u Δ j s 2 Δs ≤ K 1 b a F s, u σ j s · ϕ σ 1 sΔs ≤ K 1 M b a lsΔs, 2.11 that is, {u j } j≥1 is bounded in H 1 Δ D 1 and hence, there exists a subsequence {u 1 j } j≥1 which converges weakly in H 1 Δ D 1 and strongly in CD 1 to some u 1 ∈ H 1 Δ D 1 . For every k ≥ 1, by considering for each j ≥ 1 the weak solution to P k j u k j and by repeating the previous construction, we obtain a sequence {u k1 j } j≥1 which converges weakly in H 1 Δ D k1 and strongly in CD k1 to some u k1 ∈ H 1 Δ D k1 with {u k1 j } j≥1 ⊂ {u k j } j≥1 . By definition, we know that for all k ≥ 1, u k1 | D k u k . Let u 1 : D → R be given by u 1 : u k on D k for all k ≥ 1andu 1 a : 0 : u 1 b so that u 1 > 0ona, b T , u 1 ∈ H 1 loc,Δ D ∩ Ca, b T , u 1 is continuous in every isolated point ofthe boundary of D,and{u k k } k≥1 converges pointwise in D to u 1 . We will show that u 1 ∈ C 0 D; we only have to prove that u 1 is continuous in every dense point ofthe boundary of D.Let0<ε<Mbe arbitrary, it follows from C c and C g that there exist m ε ∈ L 1 Δ D o such that m ε ≥ 0onD o and Ft, x ≤ m ε t for Δ-a.e. t ∈ D o and all x ∈ ε, M;letϕ ε ∈ H be the weak solution to −ϕ ΔΔ ε tm ε t, Δ-a.e.t∈ D κ o ,ϕ ε a0 ϕ ε b; 2.12 we know see 4 that ϕ ε > 0ona, b T . For all k ≥ 1 so large that ε k k <ε,sinceu k k and ϕ ε are weak solutionsto some problems, by taking ϕ 2 u k k − ε − ϕ ε ∈ H as the test function in their respective problems, we obtain u k k , ϕ 2 H b a F s, u σ k k s · ϕ σ 2 sΔs ≤ b a m ε s · ϕ σ 2 sΔs ϕ ε , ϕ 2 H ; 2.13 thus, 2.2 yields to ϕ 2 2 H ≤ u k k − ϕ ε , ϕ 2 H ≤ 0, 2.14 which implies that 0 ≤ u k k ≤ ε ϕ ε on D and so 0 ≤ u 1 ≤ ε ϕ ε on D. Thereby, the continuity of ϕ ε in every dense point ofthe boundary of D andthe arbitrariness of ε guarantee that u 1 ∈ C 0 D. Finally, we will see that 1.11 holds for every test function ϕ ∈ C 1 c,rd D κ ;fixoneof them. For all k ≥ 1 so large that supp ϕ ⊂ a k ,b k T and all j ≥ 1 so large that ε k j <ν δ k ,asu k j is a weak solution to P k j , by taking ϕ ∈ C 1 c,rd D κ ⊂ C 1 0,rd D κ as the test function in 2.5 and bearing in mind 2.7, we have b k a k u Δ k j s · ϕ Δ sΔs u k j ,ϕ H b k a k F s, u σ k j s · ϕ σ sΔs, 2.15 Ravi P. Agarwal et al. 7 whence it follows, by taking limits, that b k a k u k Δ s · ϕ Δ s − F s, u k σ s · ϕ σ s Δs 0, 2.16 which is equivalent because u 1 | D k u k and ϕ 0 ϕ σ on D o \ D o k to b a u Δ 1 s · ϕ Δ s − F s, u σ 1 s · ϕ σ s Δs 0, 2.17 andthe proof is therefore complete. Propositions 2.3 and 2.4 lead tothe following sufficient condition for the existence of at least one solution inthesenseofdistributionsto problem P. Corollary 2.5. Let F f g be such that f,g : D × 0, ∞ → R satisfy (C and (PM, f satisfies (C c , and g satisfies (C g . Then, if for each j ≥ 1 there exist u j and u j a lower andan upper weak solution, respectively, to P j such that u j ≤ u j on D and inf j≥1 min aδ, b−δ T u j > 0 ∀δ ∈ 0, b − a 2 , sup j≥1 max D u j < ∞, 2.18 then P has a solution inthesenseofdistributions u 1 . Finally, fixed u 1 ∈ H 0,loc is a solution inthesenseofdistributionsto P with F f g, we will derive the existence of a second solution inthesenseofdistributionsto Pgreater than or equal to u 1 on D. For every k ≥ 1, consider the weak problem P k ⎧ ⎨ ⎩ −v ΔΔ tF t, u 1 v σ t − F t, u σ 1 t , Δ-a.e.t∈ D κ k o , v a k 0 v b k . 2.19 For every k ≥ 1, consider H k : H 1 0,Δ D k as a subspace of H by defining it for every v ∈ H k as v 0onD \ D k and define the functional Φ k : H k ⊂ H → R for every v ∈ H k as Φ k v : 1 2 v 2 H − b k a k G s, v σ s Δs, 2.20 where function G : D × 0, ∞ → R is defined for Δ-a.e. t ∈ D and all x ∈ 0, ∞ as Gt, x : x 0 F t, u σ 1 tr − F t, u σ 1 t dr. 2.21 As a consequence of Lemma 2.1, we deduce that every weak solution to P k is nonnegative on D k and by reasoning as in 4,Section3, one can prove that Φ k is weakly lower semicontinuous, Φ k is continuously differentiable in H k , for every v, w ∈ H k , Φ k vwv, w H − b k a k F s, u 1 v σ s − F s, u σ 1 s · w σ sΔs, 2.22 and weak solutionsto P k match up tothe critical points of Φ k . Next, we will assume the following condition. NI For Δ-a.e. t ∈ D o , ft, · is nonincreasing on 0, ∞. 8 Advances in Difference Equations Proposition 2.6. Suppose that F f g is such that f, g : D × 0, ∞ → R satisfy (C and ( PM, f satisfies (C c and (NI, and g satisfies (C g . If {v k } k≥1 ⊂ H, v k ∈ H k is a bounded sequence in H such that inf k≥1 Φ k v k > 0, lim k→∞ Φ k v k H ∗ k 0, 2.23 then {v k } k≥1 has a subsequence convergent pointwise in D to a nontrivial function v ∈ H such that v ≥ 0 in D and u 2 : u 1 v is a solution inthesenseofdistributionsto P. Proof. Since {v k } k≥1 is bounded in H, it has a subsequence which converges weakly in H and strongly in C 0 D to some v ∈ H. For every k ≥ 1, by 2.2,weobtain v − k H ≤ Φ k v k H ∗ k , 2.24 which implies, from 2.23,thatv ≥ 0onD and so u 2 : u 1 v>0ona, b T . In order to show t hat u 2 : u 1 v ∈ H 0,loc is a solution inthesenseofdistributionsto P,fixϕ ∈ C 1 c,rd D k arbitrary and choose k ≥ 1 so large that supp ϕ ⊂ a k ,b k T , bearing in mind that u 1 is a solution inthesenseofdistributionsto P, andthe pass tothe limit in 2.22 with v v k and w ϕ yields to 0 b a v Δ s · ϕ Δ s − F s, u 1 v σ s − F s, u σ 1 s · ϕ σ s Δs b a u Δ 2 s · ϕ Δ s − F s, u σ 2 s · ϕ σ s Δs; 2.25 thus, u 2 is a solution inthesenseofdistributionsto P. Finally, we will see that v is not the trivial function; suppose that v 0onD. Condition NIensures that function G defined in 2.21 satisfies for every k ≥ 1andΔ-a.e. s ∈ D o , G s, v k σ s ≥ f s, u 1 v k σ s − f s, u σ 1 s · v k σ s v k σ s 0 g s, u σ 1 sr − g s, u σ 1 s dr, 2.26 so that, by 2.20 and 2.22, we have, for every k ≥ 1, Φ k v k ≤ 1 2 v k 2 H − v k ,v k H Φ k v k v k − b a g s, u 1 v k σ s − g s, u σ 1 s · v k σ sΔs b a v k σ s 0 g s, u σ 1 sr − g s, u σ 1 s dr Δs; 2.27 moreover, as we know that v k ≤ p on D for some p>0, it follows from C g that there exists m ∈ L 1 Δ D o such that Φ k v k ≤ 1 2 v − k 2 H − v k 2 H Φ k v k v k 2 b a ms · v k σ sΔs ≤ 1 2 v − k 2 H Φ k v k H ∗ k · v k H 2 b a ms · v k σ sΔs, 2.28 Ravi P. Agarwal et al. 9 and hence, since {v k } k≥1 is bounded in H and converges pointwise in D tothe trivial function v, we deduce, from the second relation in 2.23 and 2.24, that lim k→∞ Φ k v k ≤ 0 which contradicts the first relation in 2.23. Therefore, v is a nontrivial function. 3. Results onthe existence and uniqueness ofsolutionsIn this section, we will derive the existence ofsolutionsinthesenseofdistributionsto P where F f g 0 ηg 1 , η ≥ 0 is a small parameter, and f, g 0 ,g 1 : D × 0, ∞ → R satisfy C, PM as well as the following conditions. H 1 There exists a constant x 0 ∈ 0, ∞ and a nontrivial function f 0 ∈ L 1 Δ D o such that f 0 ≥ 0 Δ-a.e. on D o and ft, x ≥ f 0 t,g 0 t, x,g 1 t, x ≥ 0forΔ-a.e.t∈ D o ,x∈ 0,x 0 . 3.1 H 2 For every p ∈ 0, ∞, there exist m p ∈ L 1 Δ D o and K p ≥ 0 such that ft, x ≤ m p t for Δ-a.e.t∈ D o ,x∈ p, ∞, g 1 t, x ≤ K p for Δ-a.e.t∈ D o ,x∈ 0,p. 3.2 H 3 There are m 0 ∈ L 2 Δ D o such that g 0 t, x ≤ λx m 0 t for Δ-a.e.t∈ D o ,x∈ 0, ∞, 3.3 for some λ<λ 1 , where λ 1 is the smallest positive eigenvalue of problem −u ΔΔ tλu σ t,t∈ D κ 2 , ua0 ub. 3.4 3.1. Existence of one solution. Uniqueness Theorem 3.1. Suppose that f,g 0 ,g 1 : D × 0, ∞ → R satisfy (C,(PM, and ( H 1 –H 3 . Then, there exists a η 0 > 0 such that for every η ∈ 0,η 0 , problem P with F f g 0 ηg 1 has a solution inthesenseofdistributions u 1 . Proof. Let η ≥ 0 be arbitrary; conditions H 1 –H 3 guarantee that g : g 0 ηg 1 satisfies C g . We will show that there exists a η 0 > 0 such that for every η ∈ 0,η 0 , hypotheses in Corollary 2.5 are satisfied. Let x 0 and f 0 be given in H 1 ,weknow,from4, Proposition 2.7, that we can choose ε ∈ 0, 1 so small that the weak solution u ∈ H to −u ΔΔ tεf 0 t, Δ-a.e.t∈ D κ o ,ua0 ub, 3.5 satisfies that u > 0ona, b T and u ≤ x 0 on D. Let j ≥ 1 be so large that ε j <x 0 , we obtain, by H 1 ,that −u ΔΔ t ≤ f 0 t ≤ f j t, u σ t g t, u σ t , Δ-a.e.t∈ D o , 3.6 whence it follows that u is a weak lower solution to P j . 10 Advances in Difference Equations As a consequence of C, PM, and H 1 –H 3 , by reasoning as in 4, Theorem 4.2, we deduce that problem −u ΔΔ tf j t, u σ t g 0 t, u σ t 1, Δ-a.e.t∈ D κ o , ut > 0,t∈ a, b T , ua0 ub 3.7 has some weak solution u j ∈ H which, from Lemma 2.1 and H 1 ,satisfiesthatu ≤ u j on D.Wewillseethat{ u j } j≥1 is bounded in C 0 D, by taking ϕ j :u j − x 0 ∈ H as the test function, we know from 2.2, H 2 , and H 3 that there exist m x 0 ∈ L 2 Δ D o such that ϕ j 2 H ≤ u j − x 0 ,ϕ j H b a f j s, u σ j s g 0 s, u σ j s 1 · ϕ σ j sΔs ≤ b a λ u σ j sm x 0 sm 0 s1 · ϕ σ j sΔs; 3.8 so that, it follows from the fact that the immersion from H into C 0 D is compact, see 9, Proposition 3.7, Wirtinger’s inequality 10, Corollary 3.2 and relation λ<λ 1 that {ϕ j } j≥1 is bounded in H and, hence, { u j } j≥1 is bounded in C 0 D. Thereby, condition H 2 allows to assert that there exists η 0 ≥ 0, such that for all η ∈ 0,η 0 − u ΔΔ j t ≥ f j t, u σ j t g 0 t, u σ j t ηg 1 t, u σ j t , Δ-a.e.t∈ D o , 3.9 holds, which implies that u j is a weak upper solution to P j . Therefore, for every j ≥ 1 so large, we have a lower andan upper solution to P j , respectively, such that 2.2 is satisfied and so, Corollary 2.5 guarantees that problem P has at least one solution inthesenseofdistributions u 1 . Theorem 3.2. If f : D × 0, ∞ → R satisfies (C,(C c , and (NI, then, P with F f has at most one solution inthesenseof distributions. Proof. Suppose that P has two solutionsinthesenseofdistributions u 1 ,u 2 ∈ H 0,loc .Letε>0 be arbitrary, take ϕ u 1 − u 2 − ε ∈ H c,loc as the test function in 1.11,by2.2 and NI, we have ϕ 2 H ≤ u 1 − u 2 − ε, ϕ H b a f s, u σ 1 s − f s, u σ 2 s · ϕ σ sΔs ≤ 0, 3.10 thus, u 1 ≤ u 2 ε on D. The arbitrariness of ε leads to u 1 ≤ u 2 on D and by interchanging u 1 and u 2 , we conclude that u 1 u 2 on D. Corollary 3.3. If f : D × 0, ∞ → R satisfies (C,(PM,(NI, and (H 1 -(H 2 with g 0 0 g 1 , then P with F f has a unique solution inthesenseof distributions. [...]... 124–130, 2006 6 R A Khan, J J Nieto, and V Otero-Espinar, “Existence and approximation of solution of three-point boundary value problems ontime scale,” Journal of Difference Equations and Applications, vol 14, no 7, pp 723–736, 2008 7 R P Agarwal, K Perera, and D O’Regan, Positivesolutionsinthesenseofdistributionsofsingular boundary value problems,” Proceedings ofthe American Mathematical Society,... 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O’Regan, V Lakshmikantham, and S Leela, An upper and lower solution theory for singularEmden-Fowler equations,” Nonlinear Analysis: Real World Applications, vol 3, no 2, pp 275–291, 2002 3 R P Agarwal, V Otero-Espinar, K Perera, and D R Vivero, “Existence ofmultiplepositivesolutions for second order nonlinear dynamic BVPs by variational methods,” Journal of Mathematical Analysis and Applications,... thesenseofdistributions u1 , u2 such that u1 ≤ u2 on D and u2 − u1 ∈ H Proof Conditions H1 – H4 allow to suppose that for Δ-a.e t ∈ Do , f t, · is nonnegative, nonincreasing, and convex on 0, ∞ because these conditions can be obtained by simply replacing on D × x0 , ∞ f and g0 with f t, x0 and g0 t, x f t, x − f t, x0 , respectively Let u1 be a solution inthesenseofdistributionsto P , its existence... Existence of two ordered solutions Next, by using Theorem 3.1 which ensures the existence of a solution inthesenseofdistributionsto P , we will deduce, by applying Proposition 2.6, the existence of a second one greater than or equal tothe first one onthe whole interval D; in order to do this, we will assume that f, g0 , g1 : D × 0, ∞ → R satisfy C , PM , H1 – H3 , as well as the following conditions... Otero-Espinar, K Perera, and D R Vivero, Multiplepositivesolutionsofsingular Dirichlet problems ontimescales via variational methods,” Nonlinear Analysis: Theory, Methods & Applications, vol 67, no 2, pp 368–381, 2007 5 Z Du and W Ge, “Existence ofmultiplepositivesolutions for a second-order Sturm-Liouville-like boundary value problem on a measure chain,” Acta Mathematicae Applicatae Sinica,... · is nonincreasing and convex on 0, x0 with x0 given in H1 H5 There are constants θ > 2, C1 , C2 ≥ 0 and x1 > 0 such that g1 t, x x 0< ≤ C1 xθ−1 C2 for Δ-a.e t ∈ Do , x ∈ 0, ∞ , 1 xg1 t, x θ g1 t, r dr ≤ 0 for Δ-a.e t ∈ Do , x ∈ x1 , ∞ 3.11 We will use the following variant ofthe mountain pass, see 13 Lemma 3.4 If Φ is a continuously differentiable functional defined on a Banach space H and there... guaranteed by Theorem 3.1, and let η > 0 be arbitrary; it is clear that F f g with g : g0 ηg1 satisfies hypothesis in Proposition 2.6; we will derive the existence ofan η0 > 0 such that for every η ∈ 0, η0 , we are able to construct a sequence {vk }k≥1 ⊂ H inthe conditions of Proposition 2.6 For every k ≥ 1 and v ∈ Hk , as a straight-forward consequence of NI , H3 , H5 , andthe compact immersion from... 0 on a, b T , v1 H > R and Φ1 v1 < 0 and hence, since Φ1 0 class of paths in H1 joining 0 and v1 , it follows from 3.16 that c1 : inf max Φ1 v ≥ c0 > Φ1 0 , Φ1 v1 , 3.18 γ∈Γ1 v∈γ 0,1 hence, Lemma 3.4 establishes the existence of a sequence {vk }k≥1 ⊂ H1 such that lim Φ1 vk c1 , k→ ∞ vk lim 1 k→ ∞ Φ1 vk H 0 ∗ H1 3.19 Consequently, bearing in mind that H1 ⊂ Hk and Φk |H1 Φ1 for all k ≥ 1 and by removing... s, r dr; 3.23 s as a straight-forward consequence ofthe convexity of f and conditions H2 , H3 , H5 , and 3.17 , we deduce that there exist constants C7 > 0 and C8 , C9 ≥ 0 such that b a { vk σ HF s, vk σ s Δs ≥ C7 vk σ θ Lθ Δ − C8 vk σ 2 L2 Δ 1 − C9 3.24 Therefore, relations 3.20 , 3.21 , 3.22 , and 3.24 allow to assert that sequence }k≥1 is bounded in Lθ Do and so, as for every k ≥ 1, Δ 1 vk 2 2 . for the existence of solutions in the sense of distributions to P . Under certain hypotheses, we approximate solutions in the sense of distributions to problem P by a sequence of weak solutions. 2.17 and the proof is therefore complete. Propositions 2.3 and 2.4 lead to the following sufficient condition for the existence of at least one solution in the sense of distributions to problem. of Distributions of Singular BVPs on Time Scales and an Application to Emden-Fowler Equations Ravi P. Agarwal, 1 Victoria Otero-Espinar, 2 Kanishka Perera, 1 and Dolores R. Vivero 2 1 Department of Mathematical