Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2012, Article ID 918082, 17 pages doi:10.1155/2012/918082 Research Article Existence and Multiplicity of Positive Solutions of a Nonlinear Discrete Fourth-Order Boundary Value Problem Ruyun Ma and Yanqiong Lu Department of Mathematics, Northwest Normal University, Lanzhou 730070, China Correspondence should be addressed to Ruyun Ma, ruyun ma@126.com Received 16 September 2011; Revised 14 December 2011; Accepted 25 December 2011 Academic Editor: Yuriy Rogovchenko Copyright q 2012 R. Ma and Y. Lu. 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. we show the existence and multiplicity of positive solutions of the nonlinear discrete fourth-order boundary value problem Δ4 ut − 2 λhtf ut, t ∈ Ì2, u1 uT 1 Δ2 u0 Δ2 uT 0, where λ > 0, h : Ì2 → 0, ∞ is continuous, and f : Ê → 0, ∞ is continuous, T > 4, Ì2 {2, 3, . . . , T}. The main tool is the Dancer’s global bifurcation theorem. 1. Introduction It’s well known that the fourth order boundary value problem ut ft, ut, t ∈ 0, 1, u0 u1 u 0 u 1 0 1.1 can describe the stationary states of the deflection of an elastic beam with both ends hinged, it also models a rotating shaft. The existence and multiplicity of positive solutions of the boundary value problem 1.1 have been considered extensively in the literature, see 1–10. The existence and multiplicity of positive solutions of the parameterized boundary value problem ut λhtfut, t ∈ 0, 1, u0 u1 u 0 u 1 0 1.2 2 Abstract and Applied Analysis have also been studied by several authors, see Bai and Wang 11, Cid et al. 12, and the references therein. However, relatively little is known about the corresponding discrete fourth-order problems. Let T > 4, Ì0 {0, 1, . . . , T 2}, Ì1 {1, 2, . . . , T 1}, Ì2 {2, 3, . . . , T}. 1.3 Zhang et al. 13, and He and Yu 14 used the fixed point index theory in cones to study the following discrete analogue Δ4 ut − 2 λhtfut, t ∈ Ì2 , 1.4 1.5 u0 uT 2 Δ2 u0 Δ2 uT 0, where Δ4 ut − 2 denote the fourth forward difference operator and Δut ut 1 − ut. It has been pointed out in 13, 14 that 1.4, 1.5 are equivalent to the equation of the form: ut λ T 1 T Gt, s G1 s, j h j f u j : A0 ut, s1 j2 t ∈ Ì0 , 1.6 where ⎧ 1 ⎨sT 2 − t, Gt, s T 2 ⎩tT 2 − s, ⎧ 1 ⎨T 1 − s j − 1 , G1 s, j T ⎩T 1 − j s − 1, 1 ≤ s ≤ t ≤ T 2, 0 ≤ t ≤ s ≤ T 1, 2 ≤ j ≤ s ≤ T 1, 1.7 1 ≤ s ≤ j ≤ T. Notice that two distinct Green’s functions used in 1.6 make the construction of cones and the verification of strong positivity of A0 become more complex and difficult. Therefore, Ma and Xu 15 considered 1.4 with the boundary condition u1 uT 1 Δ2 u0 Δ2 uT 0, 1.8 and introduced the definition of generalized positive solutions: Definition 1.1. A function y : Ì0 → Ê is called a generalized positive solution of 1.4, 1.8, if y satisfies 1.4, 1.8, and yt ≥ 0 on Ì1 and yt > 0 on Ì2 . Remark 1.2. Notice that the fact y : Ì0 → Ê is a generalized positive solution of 1.4, 1.8 does not means that yt ≥ 0 on Ì0 . In fact, y satisfies 1 yt ≥ 0 for t ∈ Ì2 ; 2 y1 yT 1 0; 3 y0 −y2, yT 2 −yT. Abstract and Applied Analysis 3 Ma and Xu 15 also applied the fixed point theorem in cones to obtain some results on the existence of generalized positive solutions. It is the purpose of this paper to show some new results on the existence and multiplicity of generalized positive solutions of 1.4, 1.8 by Dancer’s global bifurcation theorem. To wit, we get the following. Theorem 1.3. Let h : Ì2 → 0, ∞, f ∈ CÊ, 0, ∞, and lim s→0 fs f0 ∈ 0, ∞, s fs s→∞ s lim f∞ ∞. 1.9 Assume that there exists B ∈ 0, ∞ such that f is nondecreasing on 0, B. Then i 1.4, 1.8 have at least one generalized positive solution if 0 < λ < λ1 /f0 ; ii 1.4, 1.8 have at least two generalized positive solutions if s λ1 , < λ < sup ∗ f0 γ fs s∈0,B where γ ∗ maxt∈Ì1 value of T s2 1.10 Kt, shs, Kt, s is defined as 2.3 and λ1 is the first eigen- t ∈ Ì2 , Δ4 ut − 2 λhtut, u1 uT 1 Δ2 u0 Δ2 uT 0. 1.11 The “dual” of Theorem 1.3 is as follows. Theorem 1.4. Let h : Ì2 → 0, ∞, f ∈ CÊ, 0, ∞, and lim s→0 fs f0 ∈ 0, ∞, s lim s→∞ fs f∞ 0. s 1.12 Assume that there exists B ∈ 0, ∞ such that f is nondecreasing on 0, B. Then i 1.4, 1.8 have at least a generalized positive solution provided λ> where γ∗ mint∈Ì2 T s2 s , s∈0,c1 B c1 γ∗ fs inf Kt, shs; 1.13 4 Abstract and Applied Analysis ii 1.4, 1.8 have at least two generalized positive solutions provided inf s s∈0,c1 B c1 γ∗ fs <λ< λ1 . f0 1.14 The rest of the paper is organized as follows: in Section 2, we present the form of the Green’s function of 1.4, 1.8 and its properties, and we enunciate the Dancer’s global bifurcation theorem 16, Corollary 15.2. In Section 3, we use the Dancer’s bifurcation theorem to prove Theorems 1.3 and 1.4 and in Section 4, we finish the paper presenting a couple of illustrative examples. Remark 1.5. For other results on the existence and multiplicity of positive solutions and nodal solutions for fourth-order boundary value problems based on bifurcation techniques, see 17– 21. 2. Preliminaries and Dancer’s Global Bifurcation Theorem Lemma 2.1. Let h : Ì2 → Ê. Then the linear boundary value problem Δ4 ut − 2 ht, t ∈ Ì2 , u1 uT 1 Δ2 u0 Δ2 uT 0 2.1 has a solution ut T s2 Kt, shs, t ∈ Ì1 , 2.2 where ⎧ 2 ⎪ − − 2s − 1T 1 − t 2Tt − 1 − − 1 s s t ⎪ ⎪ ⎪ ⎪ , 2 ≤ s ≤ t ≤ T 1, ⎨ 6T Kt, s ⎪ ⎪ ⎪ t − 1T 1 − t 2Ts − 1 − s − 12 − t − 2t ⎪ ⎪ ⎩ , 1 ≤ t ≤ s ≤ T. 6T 2.3 Proof. By a simple summing computation and u1 Δ2 u0 0, we can obtain ut Δu0t − 1 t−1 tt − 1t − 2 3 t − st − s − 1t − s 1 Δ u0 hs. 6 6 s2 2.4 Abstract and Applied Analysis 5 This together with uT 1 Δ2 uT 0, it follows that ut 2 T T 1 − st − 1 2Ts − 1 − s − 1 − tt − 2 6T s2 t−1 t − st − s − 1t − s 1 6T s2 hs 2 T T 1 − st − 1 2Ts − 1 − s − 1 − tt − 2 6T st hs 2.5 hs 2 t−1 T 1 − ts − 1 2Tt − 1 − t − 1 − ss − 2 6T s2 hs. Therefore, 2.2 holds. Remark 2.2. It has been pointed out in 15 that 2.1 is equivalent to the summation equation of the form ut T T G1 t, s G1 s, j h j , s2 j2 t ∈ Ì1 . 2.6 It is easy to verify that 2.2 and 2.6 are equivalent. By a similar method in 9, it follows that Kt, s satisfies Kt, s ≤ Φs for s ∈ Ì1 , t ∈ Ì1 , Kt, s ≥ ctΦs for s ∈ Ì1 , 2.7 t ∈ Ì1 , where Φs ⎧ ⎪ ⎪ ⎪ ⎨ √ 3/2 3 , s − 1 T 2 − s − 2s 27T √ ⎪ ⎪ ⎪ ⎩ 3 T 1 − s2Ts − 1 − s − 2s3/2 , 27T ct ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ √ 3 3 T 2 − tt − 2 t − 1 3/2 , 1 √ ⎪ ⎪ 3 3T 1 − t2Tt − 1 − tt − 2 ⎪ ⎪ ⎪ , ⎩ 2T 2 13/2 2T 2 1≤s≤ T 1, 2 T 1 < s ≤ T 1, 2 1≤t≤ T 1, 2 T 1 < t ≤ T 1. 2 2.8 2.9 6 Abstract and Applied Analysis Moreover, we have that Kt, s ≥ c1 Φs, for s ∈ Ì1 , t ∈ Ì2 . 2.10 √ 3/2 here c1 3 3T 2 /2T 2 1 . Let X be a real Banach space with a cone K such that X K − K. Let us consider the equation: x μLx Nx, μ ∈ Ê, x ∈ X 2.11 under the assumptions: A1 The operators L, N : X → X are compact. Furthermore, L is linear, Nx X / x X → 0 as x X → 0, and L NK ⊆ K. A2 The spectral radius rL of L is positive. Denote μ0 rL−1 . A3 L is strongly positive. Dancer’s global bifurcation theorem is the following. Theorem 2.3 see 16, Corollary 15.2. Let S : μ, x ∈ Ê × X | μ, x is a solution of 2.11 with x > 0 and μ > 0 . 2.12 If (A1) and (A2) are satisfied, then μ0 , 0 is a bifurcation point of 2.11 and S has an unbounded solution component C which passes through μ0 , 0. Additionally, if (A3) is satisfied, then μ, x ∈ C and μ / μ0 always implies x > 0 and μ > 0. 3. Proof of the Main Results Before proving Theorem 1.3, we state some preliminary results and notations. Let ρ : 4 sin2 π , 2T et : sin πt − 1 , T t ∈ Ì1 , X : u | u : Ì0 −→ Ê, u1 uT 1 Δ2 u0 Δ2 uT 0 . Then X is a Banach space under the normal: γ | −γ et ≤ −Δ2 ut − 1 ≤ γ et, t ∈ Ì1 . u X : inf ρ See 22 for the detail. Let K : u ∈ X | Δ2 ut − 1 ≤ 0, ut ≥ 0, t ∈ Ì1 . Then K is normal and has a nonempty interior and X K − K. 3.1 3.2 3.3 3.4 Abstract and Applied Analysis Let Y {u | u : Ì2 → 7 Ê}. Then Y is a Banach space under the norm: u ∞ max|ut|. t∈ 3.5 Lu : Δ4 ut − 2, u ∈ X. 3.6 Ì2 Define L : X → Y by setting It is easy to check that L−1 : Y → X is compact. Lemma 3.1. Let h ∈ Y with h ≥ 0 and ht0 > 0 for some t0 ∈ Ì2 , and Lu − h 0. 3.7 Then u ∈ int K. Proof. It is enough to show that there exist two constants r1 , r2 ∈ 0, ∞ such that r1 et ≤ −Δ2 ut − 1 ≤ r2 et, t ∈ Ì1 . 3.8 t ∈ Ì1 . 3.9 In fact, we have from 3.7 that −Δ2 ut − 1 T G1 t, shs, s2 This together with the relation t − 1T 1 − t/TG1 s, s ≤ G1 t, s ≤ t − 1T 1 − t/T implies that T T t − 1T 1 − t t − 1T 1 − t ≤ . G1 s, shs G1 t, shs ≤ h ∞ T T s2 s2 3.10 Combining 3.9 with 3.10 and the fact that c1 sin πt − 1 t − 1T 1 − t πt − 1 ≤ ≤ c2 sin , T T T t ∈ Ì1 3.11 for some constants c1 , c2 ∈ 0, ∞, we conclude that 3.8 is true. Let ζ ∈ CÊ, Ê be such that fu f0 u ζu, 3.12 8 Abstract and Applied Analysis clearly lim |u| → 0 ζu 0. u 3.13 Let us consider Lu λ h·f0 u h·ζu 3.14 as a bifurcation problem from the trivial solution u ≡ 0. By 1.4, 1.8, it follows that if ut ∈ X is one solution of 1.4, 1.8, then ut satisfies u0 −u2, uT 2 −uT. So, u0, 0, u2, . . . , uT, 0, uT 2 is a solution of 1.4, 1.8, if and only if, 0, u2, . . . , uT, 0 solves the operator equation ut λ T Gt, shsfus, s2 t ∈ Ì1 . 3.15 Now, let J : Y → X be the linear operator: Ju2, u3, . . . , uT −u2, 0, u2, u3, . . . , uT, 0, −uT, u ∈ Y. 3.16 Let L, N : X → X be the operators: Lu : J ◦ L−1 h·f0 u , 3.17 Nu : J ◦ L−1 h·ζu, 3.18 respectively. Then Lemma 3.1 yields that L : X → X is strongly positive. Moreover, 16, Theorem 7.c implies rL > 0. Now, it follows from Theorem 2.3 that there exists a continuum C ⊆ μ, x ∈ Ê × X | μ, x is a solution of 1.4, 1.8 with x > 0 and μ > 0 , 3.19 which joins rL−1 , 0 with infinity in 0, ∞ × K and μ, x ∈ C , −1 μ / rL ⇒ x > 0, μ > 0. 3.20 It is easy to check that rL−1 λ1 . f0 3.21 Abstract and Applied Analysis 9 Lemma 3.2. Let h1 , h2 ∈ Y with h1 ≥ h2 > 0. Then the eigenvalue problems Lut λhi tut, t ∈ Ì2 , i 1, 2 3.22 have the principal eigenvalue λi , i 1, 2 such that λ1 ≤ λ2 . Moreover, the corresponding eigenfunctions ψi are positive in Ì2 . Proof . Let Li : X → X be the operator Li u : λJ ◦ L−1 hi ·u, 3.23 i 1, 2. Then Lemma 3.1 yields that Li : X → X is strongly positive. By Krein-Rutman theorem 16, Theorem 7.c the spectral radius rLi > 0 and there exist ψi ∈ X with ψi > 0 on Ì2 such that Li ψi t rLi ψi t, i 1, 2. 3.24 That is, the eigenvalue problems 3.22 have the principal eigenvalues λi 1/rLi , and ψi t is the corresponding eigenfunctions of λi , i 1, 2. Next, we prove λ1 ≤ λ2 . Since Tt2 Δ4 ψ1 t − 2 ψ 2 t Tt2 ψ1 tΔ4 ψ2 t − 2, it follows that T T T λ2 1 4 h1 tψ1 tψ2 t ≥ h2 tψ2 tψ1 t Δ ψ2 t − 2ψ1 t t2 t2 λ2 t2 λ2 T 1 t2 λ2 T λ1 λ2 t2 ψ2 tΔ4 ψ1 t − 2 T ψ2 t t2 λ2 λ1 h1 tψ1 t 3.25 h1 tψ1 tψ2 t. Therefore, λ1 ≤ λ2 . Suppose that Ìa {a 1, a 2, . . . , b − 1} is a strict subset of restriction of h on Ìa . Consider the linear eigenvalue problems: Δ4 ut − 2 λha tf0 ut, t ∈ Ìa , ua ub Δ ua − 1 Δ ub − 1 0. 2 2 Ì2 and ha denote the 3.26 Then we get the following result. Lemma 3.3. Let λ1 is the principal eigenvalue of 3.17, then 3.26 has only one principal eigenvalue λa such that 0 < λ1 < λa . 10 Abstract and Applied Analysis Proof. It is not difficult to prove that 3.26 has only one principal eigenvalue λa > 0 by Lemma 3.1, and the corresponding eigenfunction ψa > 0 on Ìa . So we only to verify that 0 < λ1 < λa . Let ψ1 be the corresponding eigenfunction of λ1 , we have that b−1 Δ4 ψa t − 2ψ1 t ta1 b−1 Δ4 ψ1 t − 2ψa t − ψ1 bΔ2 ψa b − 2 − ψa b − 1Δ2 ψ1 b − 1 ta1 − Δ2 ψa aψ1 a − ψa a 1Δ2 ψ1 a − 1 > b−1 Δ4 ψ1 t − 2ψa t. ta1 3.27 So b−1 b−1 1 4 Δ ψa t − 2ψ1 t λ ta1 a htψa tψ1 t ta1 b−1 1 4 Δ ψ1 t − 2ψa t λ ta1 a > b−1 ψa t λ1 htψ1 t λa ta1 3.28 b−1 λ1 ht ψa tψ1 t. λa ta1 Thus 0 < λ1 < λa . Proof of Theorem 1.3. We divide the proof into three steps. Let {μn , yn } ⊂ C be such that μn yn X → ∞, n → ∞. 3.29 Then Δ4 yn t − 2 μn htf yn t , t ∈ Ì2 , yn 1 yn T 1 Δ2 yn 0 Δ2 yn T 0. 3.30 Step 1. We show that there exists a constant M such that μn ∈ 0, M for all n. Suppose on the contrary that lim μn ∞. n→∞ 3.31 Abstract and Applied Analysis 11 Let vn yn / yn X . Then it follows from 3.30 that f yn t Δ vn t − 2 μn ht vn t, yn t 4 t ∈ Ì2 , 3.32 vn 1 vn T 1 Δ vn 0 Δ vn T 0. 2 2 Since inf fs |s>0 s : M0 > 0, 3.33 there exists a constant M0 > 0, such that f yn t > M0 > 0. yn t 3.34 Let λ∗ be the principal eigenvalue of the linear eigenvalue problems: Δ4 vt − 2 λht M0 vt, t ∈ Ì2 , v1 vT 1 Δ2 v0 Δ2 vT 0. 3.35 Combining 3.31 and 3.34 with the relation 3.32, using Lemma 3.2, we get 0 < μn ≤ λ∗ . 3.36 This contradicts 3.31. So μn ∈ 0, M for all n. Step 2. We show that C joins λ1 /f0 , 0 with 0, ∞. Assume that there exist δ > 0 and {μn , yn } ⊂ C such that 0 < δ ≤ μn ≤ M; yn X −→ ∞, n −→ ∞. 3.37 First, we show that yn −→ ∞ ⇒ yn −→ ∞. X ∞ 3.38 Suppose on the contrary that yn ≤ M1 ∞ 3.39 for some M1 > 0 independent on n. Then it follows from 3.30 and 0 < δ ≤ |μn | ≤ M that 4 3.40 Δ yn ≤ M h ∞ sup fs | 0 < s ≤ M1 , ∞ and subsequently, { yn X } is bounded. This is a contradiction. So, 3.38 holds. 12 Abstract and Applied Analysis Next, we show that yn −→ ∞ ⇒ min yn t | t ∈ Ì2 −→ ∞. ∞ 3.41 In fact, yn t μn T Kt, shsf yn s , t ∈ Ì1 . 3.42 s2 This together with 2.7 imply that 3.41 is valid. Finally, we have from the facts that min{yn t | t ∈ that f yn t μn −→ ∞, yn t Ì2 } → ∞ and 0 < δ ≤ |μn | ≤ M n −→ ∞ for any t ∈ Ìa . 3.43 Consider the following linear eigenvalue problems: t ∈ Ìa , Δ4 vt − 2 λha t vt, va vb Δ2 va − 1 Δ2 vb − 1 0. 3.44 By Lemma 3.3 and 3.32, 3.44 has a positive principal eigenvalue λa , and f yn t μn ≤ λa , yn t 3.45 which contradicts 3.43. Thus limn → ∞ μn 0. Step 3. Fixed λ such that 0 < λ < sup s∈0,B s γ ∗ fs . 3.46 Then there exists b ∈ 0, B such that 0<λ< b γ ∗ fb . 3.47 We show that there is no μ, u ∈ C such that u ∞ b, 0<μ< b . γ ∗ fb 3.48 Abstract and Applied Analysis 13 In fact, if there exists η, y ∈ C satisfying 3.48, then yt η T Kt, shsf ys s2 3.49 ≤ ηγ ∗ fb ηγ ∗ fb ·b b for t ∈ Ì1 , and subsequently, η ≥ b/γ ∗ fb. Therefore, no μ, u ∈ C satisfies 3.48. Now, combining the conclusions in Steps 2 and 3, using the fact that no μ, u ∈ C satisfies 3.48, it concludes that for every λ ∈ λ1 /f0 , b/γ ∗ fb, 1.4, 1.8 has at least two generalized positive solutions in C . For arbitrary λ ∈ 0, sups∈0,B s/γ ∗ fs, we may find b bλ satisfying 3.47. So, for every λ ∈ λ1 /f0 , sups∈0,B s/γ ∗ fs, 1.4, 1.8 has at least two generalized positive solutions in C . Proof of Theorem 1.4. We divide the proof into three steps. Step 1. We show that there exists a positive constant β > 0 such that inf μ | μ, u ∈ C : β > 0. 3.50 Suppose on the contrary that there exists {μn , yn } ⊂ C such that μn → 0 , as n → ∞. 3.51 Then we have from 3.32, 3.51, f0 ∈ 0, ∞ and f∞ 0 that vn X → 0, as n → ∞. 3.52 However, this contradicts with the fact that vn X 1 for all n ∈ Æ . Therefore, 3.50 holds. Step 2. We show that for any closed interval I ⊂ β, ∞, there exists MI > 0 such that sup u | μ, u ∈ C ≤ MI . 3.53 Suppose on the contrary that there exists {μn , yn } ⊂ C with μn ⊂ I, yn −→ ∞ as n −→ ∞. X 3.54 Then by 3.38, yn −→ ∞, ∞ n −→ ∞. 3.55 14 Abstract and Applied Analysis and subsequently minyn t ≥ c1 yn ∞ −→ ∞. Ì2 t∈ 3.56 This together with 3.32 and f0 ∈ 0, ∞ and f∞ 0 that vn |Ì2 ∞ −→ 0, n −→ ∞. 3.57 However, this contradicts with the fact that n ∈ Æ. minvn t≥ c1 , Ì2 t∈ 3.58 Therefore, 3.53 holds. Step 3. Fixed λ such that λ> s inf s∈0,c1 B c1 γ∗ fs . 3.59 Then there exists l ∈ 0, c1 B such that λ> l . γ∗ c1 fl 3.60 We show that there is no η, y ∈ C such that y l ∞ c1 η> l . γ∗ c1 fl 3.61 Suppose on the contrary that there exists η, y ∈ C satisfying 3.61. Then for t ∈ Ì2 , yt η T Kt, shsf ys s2 ≥η T Kt, shsf c1 y∞ s2 η 3.62 T Kt, shsfl s2 ≥ ηγ∗ fl ηγ∗ fl · l, l and subsequently, η ≤ l/c1 γ∗ fl. Therefore, there is no η, y ∈ C such that 3.61 holds. Abstract and Applied Analysis 15 Now, combining the conclusions in Steps 2 and 3, using the fact that no μ, u ∈ C satisfying 3.61, it concludes that for every λ ∈ l/c1 γ∗ fl, λ1 /f0 , 1.4, 1.8 has at least two generalized positive solutions in C . For arbitrary λ ∈ infs∈0,c1 B s/c1 γ∗ fs, ∞, we may find l lλ satisfying 3.60. So, for every λ ∈ infs∈0,c1 B s/γ∗ fs, λ1 /f0 , 1.4, 1.8 has at least two generalized positive solutions in C . 4. Some Examples In this section, we will apply our results to two examples. For convenience, set T 12, then Ì1 {1, 2, . . . , 13}, Ì2 {2, 3, . . . , 12}. Example 4.1. Let us consider the boundary value problem Δ4 ut − 2 λfut, t ∈ Ì2 , u1 u13 Δ2 u0 Δ2 u12 0, 4.1 where fu ⎧ ⎨ arctan u, u ∈ 0, 1000, ⎩ u − 10002 arctan 1000, u ∈ 1000, ∞. 4.2 Clearly, fu is nondecreasing, f0 1, f∞ ∞. Take B 1000. By a simple computation, it follows that infs∈0,1000 fs/s arctan 1000/1000 ≈ 0.00157, λ1 16 sin4 π/24 ≈ 0.0048 and γ ∗ maxt∈Ì1 12 s2 Kt, s 1629/6, then 0.0048 ≈ 16 sin4 λ1 π s 6 < sup ≈ 2.34631. 24 f0 s∈0,1000 fsγ ∗ 1629 infs∈0,1000 fs/s 4.3 So, Theorem 1.3i implies that 4.1 has at least one generalized positive solution for 0<λ< λ1 ≈ 0.0048; f0 4.4 Theorem 1.3ii implies that 4.1 has at least two generalized positive solutions for 1 λ1 <λ< ≈ 2.34631. 4 f0 γ ∗ 16sin π/24 − 1 4.5 Example 4.2. Let us consider the boundary value problem: Δ4 ut − 2 λfut, t ∈ Ì2 , u1 u13 Δ2 u0 Δ2 u12 0, 4.6 16 Abstract and Applied Analysis where ⎧ ⎪ ⎪ ⎨ eu − 1 , u fu 30 √ ⎪ e −1 ⎪ ⎩ u − 30 , 30 u ∈ 0, 30, 4.7 u ∈ 30, ∞. Obviously, fu is nondecreasing in 0, ∞, so f0 limu → 0 fu/u 1, f∞ 0. By a simple computation, that λ1 16 sin4 π/24 and limu → 0 fu/u √ it follows √ 12 γ∗ mint∈Ì2 s2 Kt, s 143/2, c1 216 3/145 145 ≈ 0.214. Take B 50. Since e10.715 − 1/10.715 ≈ 4202.0726, it follows that sups∈0,10.715 fs/s 0.0000155 ≈ 1 s π λ1 ≈ 0.0048. < 16 sin4 s∈0,c1 B c γ fs 24 c1 γ∗ f0 sups∈0,10.715 fs/s 1 ∗ inf 4.8 Therefore, i of Theorem 1.4 implies that 4.6 has at least one generalized positive solution for λ> inf s s∈0,c1 B c γ fs 1 ∗ ≈ 0.0000155; 4.9 ii of Theorem 1.4 implies that 4.6 has at least two generalized positive solutions for 0.0000155 < λ < 16 sin4 π . 24 4.10 Acknowledgments This paper was written when the first author visited Tabuk University, Tabuk, during May 16June 13, 2011 and he is very thankful to the administration of Tabuk University for providing him the hospitalities during the stay. The second author gratefully acknowledges the partial financial support from the Deanship of Scientific Research DSR at King Abdulaziz University, Jeddah. The authors thank the referees for their valuable comments. References 1 R. P. Agarwal, “On fourth order boundary value problems arising in beam analysis,” Differential and Integral Equations, vol. 2, no. 1, pp. 91–110, 1989. 2 A. Cabada, “The method of lower and upper solutions for second, third, fourth, and higher order boundary value problems,” Journal of Mathematical Analysis and Applications, vol. 185, no. 2, pp. 302– 320, 1994. 3 C. De Coster and L. Sanchez, “Upper and lower solutions, Ambrosetti-Prodi problem and positive solutions for fourth order O.D.E,” Rivista di Matematica Pura ed Applicata, no. 14, pp. 57–82, 1994. Abstract and Applied Analysis 17 4 Z. Liu and F. Li, “Multiple positive solutions of nonlinear two-point boundary value problems,” Journal of Mathematical Analysis and Applications, vol. 203, no. 3, pp. 610–625, 1996. 5 Z.-C. Hao and L. Debnath, “On eigenvalue intervals and eigenfunctions of fourth-order singular boundary value problems,” Applied Mathematics Letters, vol. 18, no. 5, pp. 543–553, 2005. 6 Y. Guo and Y. Gao, “The method of upper and lower solutions for a Lidstone boundary value problem,” Czechoslovak Mathematical Journal, vol. 55130, no. 3, pp. 639–652, 2005. 7 J. Chu and D. O’Regan, “Positive solutions for regular and singular fourth-order boundary value problems,” Communications in Applied Analysis, vol. 10, no. 2-3, pp. 185–199, 2006. 8 G. Han and Z. Xu, “Multiple solutions of some nonlinear fourth-order beam equations,” Nonlinear Analysis, vol. 68, no. 12, pp. 3646–3656, 2008. 9 J. R. L. Webb, G. Infante, and D. Franco, “Positive solutions of nonlinear fourth-order boundary-value problems with local and non-local boundary conditions,” Proceedings of the Royal Society of Edinburgh A, vol. 138, no. 2, pp. 427–446, 2008. 10 R. Ma and H. Wang, “On the existence of positive solutions of fourth-order ordinary differential equations,” Applicable Analysis, vol. 59, no. 1–4, pp. 225–231, 1995. 11 Z. Bai and H. Wang, “On positive solutions of some nonlinear fourth-order beam equations,” Journal of Mathematical Analysis and Applications, vol. 270, no. 2, pp. 357–368, 2002. 12 J. A. Cid, D. Franco, and F. Minhós, “Positive fixed points and fourth-order equations,” Bulletin of the London Mathematical Society, vol. 41, no. 1, pp. 72–78, 2009. 13 B. Zhang, L. Kong, Y. Sun, and X. Deng, “Existence of positive solutions for BVPs of fourth-order difference equations,” Applied Mathematics and Computation, vol. 131, no. 2-3, pp. 583–591, 2002. 14 Z. He and J. Yu, “On the existence of positive solutions of fourth-order difference equations,” Applied Mathematics and Computation, vol. 161, no. 1, pp. 139–148, 2005. 15 R. Ma and Y. Xu, “Existence of positive solution for nonlinear fourth-order difference equations,” Computers & Mathematics with Applications, vol. 59, no. 12, pp. 3770–3777, 2010. 16 E. Zeidler, Nonlinear Functional Analysis and Its Applications, I: Fixed-Point Theorems , Springer, New York, NY, USA, 1986, Translated from the German by Peter R. Wadsac. 17 B. P. Rynne, “Infinitely many solutions of superlinear fourth order boundary value problems,” Topological Methods in Nonlinear Analysis, vol. 19, no. 2, pp. 303–312, 2002. 18 R. Ma, “Existence of positive solutions of a fourth-order boundary value problem,” Applied Mathematics and Computation, vol. 168, no. 2, pp. 1219–1231, 2005. 19 R. Ma and J. Xu, “Bifurcation from interval and positive solutions of a nonlinear fourth-order boundary value problem,” Nonlinear Analysis, vol. 72, no. 1, pp. 113–122, 2010. 20 R. Ma, “Nodal solutions of boundary value problems of fourth-order ordinary differential equations,” Journal of Mathematical Analysis and Applications, vol. 319, no. 2, pp. 424–434, 2006. 21 R. Ma, “Nodal solutions for a fourth-order two-point boundary value problem,” Journal of Mathematical Analysis and Applications, vol. 314, no. 1, pp. 254–265, 2006. 22 Y. Xu, C. Gao, and R. Ma, “Solvability of a nonlinear fourth-order discrete problem at resonance,” Applied Mathematics and Computation, vol. 216, no. 2, pp. 662–670, 2010. 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