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Hindawi Publishing Corporation Advances in Difference Equations Volume 2008, Article ID 840458, 15 pages doi:10.1155/2008/840458 Research ArticlePositiveSolutionsforMultiparameterSemipositoneDiscreteBoundaryValueProblemsviaVariational Method Jianshe Yu, 1, 2 Benshi Zhu, 1 and Zhiming Guo 2 1 College of Mathematics and Econometrics, Hunan University, Changsha 410082, China 2 College of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China Correspondence should be addressed to Jianshe Yu, jsyu@gzhu.edu.cn Received 13 March 2008; Accepted 24 August 2008 Recommended by Kanishka Perera We study the existence, multiplicity, and nonexistence of positivesolutionsformultiparametersemipositonediscreteboundaryvalueproblems by using nonsmooth critical point theory and subsuper solutions method. Copyright q 2008 Jianshe Yu 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 Let Z and R be the set of all integers and real numbers, respectively. For a, b ∈ Z, define Za{a, a 1, }, Za, b{a, a 1, ,b}, when a ≤ b. In this paper, we consider the multiparametersemipositonediscreteboundaryvalue problem −Δ 2 ut − 1λfut μgut,t∈ Z1,N, u00,uN 10, 1.1 where λ, μ > 0 are parameters, N ≥ 4 is a positive integer, Δutut1−ut is the forward difference operator, Δ 2 utΔΔut, f : 0, ∞ → R is a continuous positive function satisfying f0 > 0, and g : 0, ∞ → R is continuous and eventually strictly positive with g0 < 0. We notice that for fixed μ>0, λf0μg0 < 0 whenever λ>0issufficiently small. We call 1.1 a semipositone problem. Semipositoneproblems are derived from 1, where Castro and Shivaji initially called them nonpositone problems, in contrast 2 Advances in Difference Equations with the terminology positone problems, put forward by Keller and Cohen in 2, where the nonlinearity was positive and monotone. Semipositoneproblems arise in bulking of mechanical systems, design of suspension bridges, chemical reactions, astrophysics, combustion, and management of natural resources; for example, see 3–6. In general, studying positivesolutionsforsemipositoneproblems is more difficult than that for positone problems. The difficulty is due to the fact that in the semipositone case, solutions have to live in regions where the nonlinear term is negative as well as positive. However, many methods have been applied to deal with semipositone problems, the usual approaches are quadrature method, fixed point theory, subsuper solutions method, and degree theory. We refer the readers to the survey papers 7, 8 and references therein. Due to its importance, in recent years, continuous semipositoneproblems have been widely studied by many authors, see 9–15. However, we noticed that there were only a few papers on discretesemipositone problems. One can refer to 16–18. In these papers, semipositonediscreteboundaryvalueproblems with one parameter were discussed, and subsuper solutions method and fixed point theory were used to study them. To the authors’ best knowledge, there are no results established on semipositonediscreteboundaryvalueproblems with two parameters. Here we want to present a different approach to deal with this topic. In 11, Costa et al. applied the nonsmooth critical point theory developed by Chang 19 to study the existence and multiplicity results of a class of semipositoneboundaryvalueproblems with one parameter. We think it is also an efficient tool in dealing with the semipositonediscreteboundaryvalueproblems with two parameters. Our main objective in this paper is to apply the nonsmooth critical point theory to deal with the positivesolutions of semipositone problem 1.1. More precisely, we define the discontinuous nonlinear terms f 1 s ⎧ ⎨ ⎩ 0ifs ≤ 0, fs if s>0, g 1 s 0ifs ≤ 0, gs if s>0. 1.2 Now we consider the slightly modified problem −Δ 2 ut − 1λf 1 ut μg 1 ut,t∈ Z1,N, u00,uN 10. 1.3 Just to be on the convenient side, we define hsλfsμgs, h 1 sλf 1 sμg 1 s, HsλFsμGs, H 1 sλF 1 sμG 1 s, where Fs s 0 fτdτ, Gs s 0 gτdτ, F 1 s s 0 f 1 τdτ 0ifs ≤ 0, Fs if s>0, G 1 s s 0 g 1 τdτ 0ifs ≤ 0 Gs if s>0. 1.4 Jianshe Yu et al. 3 We will prove in Section 3 that the sets of positivesolutions of 1.1 and 1.3 do coincide. Moreover, any nonzero solution of 1.3 is nonnegative. Our main results are as follows. Theorem 1.1. Suppose that there are constants C 1 > 0, α>1, and β>2 such that when s>0 is large enough, fs <C 1 s α , 1.5 sfs ≥ βFs > 0, 1.6 lim s → ∞ gs s 0. 1.7 Then for fixed μ>0,thereisa λ>0 such that for λ ∈ 0, λ, problem 1.3 has a nontrivial nonnegative solution. Hence problem 1.1 has a positive solution. Remark 1.2. By 1.6, there are constants C 2 ,C 3 > 0 such that for any s ≥ 0, Fs ≥ C 2 s β − C 3 . 1.8 Equations 1.6 and 1.8 imply that lim s → ∞ fs s ∞, 1.9 which shows that f is superlinear at infinity. Remark 1.3. Equation 1.7 implies that g is sublinear at infinity. Moreover, it is easy to know that lim s → ∞ Gs s 2 0. 1.10 Hence G is subquadratic at infinity. Theorem 1.4. Suppose that the conditions of Theorem 1.1 hold. Moreover, g is increasing on 0, ∞. Then there is a μ ∗ > 0 such that for μ>μ ∗ , problem 1.1 has at least two positivesolutionsfor sufficiently small λ. Theorem 1.5. Suppose that the conditions of Theorem 1.1 hold. Moreover, f is nondecreasing on 0, ∞. Then for fixed μ>0, problem 1.1 has no positive solution for sufficiently large λ. 2. Preliminaries In this section, we recall some basic results on variational method for locally Lipschitz functional I : X → R defined on a real Banach space X with norm ·. I is called locally 4 Advances in Difference Equations Lipschitzian if for each u ∈ X, there is a neighborhood V V u of u and a constant B Bu such that |Ix − Iy|≤Bx − y, ∀x, y ∈ V. 2.1 The following abstract theory has been developed by Chang 19. Definition 2.1. For given u, z ∈ X, the generalized directional derivative of the functional I at u in the direction z is defined by I 0 u; zlim sup k → 0 t → 0 1 t Iu k tz − Iu k. 2.2 The following properties are known: i z → I 0 u; z is subadditive, positively homogeneous, continuous, and convex; ii |I 0 u; z|≤Bz; iii I 0 u; −z−I 0 u; z. Definition 2.2. The generalized gradient of I at u, denoted by ∂Iu, is defined to be the subdifferential of the convex function I 0 u; z at z 0, that is, w ∈ ∂Iu ⊂ X ∗ ⇐⇒ w,z≤I 0 u; z, ∀z ∈ X. 2.3 The generalized gradient ∂Iu has the following main properties. 1 For all u ∈ X, ∂Iu is a nonempty convex and w ∗ -compact subset of X ∗ ; 2 w X ∗ ≤ B for all w ∈ ∂Iu. 3 If I, J : X → R are locally Lipschitz functional, then ∂I Ju ⊂ ∂Iu∂Ju. 2.4 4 For any λ>0, ∂λIuλ∂Iu. 5 If I is a convex functional, then ∂Iu coincides with the usual subdifferential of I in the sense of convex analysis. 6 If I is G ˆ ateaux differential at every point of v of a neighborhood V of u and the G ˆ ateaux derivative is continuous, then ∂Iu{I u}. 7 The function ζu min w∈∂Iu w X ∗ 2.5 exists, that is, there is a w 0 ∈ ∂Iu such that w 0 X ∗ min w∈∂Iu w X ∗ . 8 I 0 u; zmax{w,z|w ∈ ∂Iu}. Jianshe Yu et al. 5 9 If I has a minimum at u 0 ∈ X, then 0 ∈ ∂Iu 0 . Definition 2.3. u ∈ X is a critical point of the locally Lipschitz functional I if 0 ∈ ∂Iu. Definition 2.4. I is said to satisfy Palais-Smale condition PS condition for short if any sequence {u n } such that Iu n is bounded and ζu n min w∈∂Iu n w X ∗ → 0 has a convergent subsequence. Lemma 2.5 see 19, Mountain Pass Theorem. Let X be a real Hilbert space and let I be a locally Lipschitz functional satisfying (PS) condition. Suppose t hat I00 and that the following hold. i There exist constants ρ>0 and a>0 such that Iu ≥ a if u ρ. ii Thereisane ∈ X such that e >ρand Ie ≤ 0. Then I possesses a critical value c ≥ a. Moreover, c can be characterized as c inf γ∈Γ max s∈0,1 Iγs, 2.6 where Γ{g ∈ C0, 1,X | γ00,γ1e}. 2.7 Next we give the definitions of the subsolution and the supersolution of the following boundaryvalue problem: −Δ 2 ut − 1μgut,t∈ Z1,N, u00,uN 10. 2.8 Definition 2.6. If u 1 t,t∈ Z0,N 1 satisfies the following conditions: −Δ 2 u 1 t − 1 ≤ μgu 1 t,t∈ Z1,N, u 1 0 ≤ 0,u 1 N 1 ≤ 0, 2.9 then u 1 is called a subsolution of problem 2.8. Definition 2.7. If u 2 t,t∈ Z0,N 1 satisfies the following conditions: −Δ 2 u 2 t − 1 ≥ μgu 2 t,t∈ Z1,N, u 2 0 ≥ 0,u 2 N 1 ≥ 0, 2.10 then u 2 is called a supersolution of problem 2.8. 6 Advances in Difference Equations Lemma 2.8. Suppose that there exist a subsolution u 1 and a supersolution u 2 of problem 2.8 such that u 1 t ≤ u 2 t in Z1,N. Then there is a solution ˇ u of problem 2.8 such that u 1 t ≤ ˇ ut ≤ u 2 t in Z1,N. Remark 2.9. If 2.8 is replaced by 1.1, then we have similar definitions and results as Definitions 2.6, 2.7,andLemma 2.8 3. Proof of main results Let E be the class of the functions u : Z0,N 1 → R such that u0uN 10. Equipped with the usual inner product and the usual norm u, v N t 1 ut,vt, u N t 1 u 2 t 1/2 , 3.1 E is an N-dimensional Hilbert space. Define the functional J on E as Ju 1 2 N1 t 1 Δut − 1 2 − 2H 1 ut 1 2 u T Au − N t 1 H 1 ut Ku − N t 1 H 1 ut, 3.2 where u {u1,u2, ,uN}, Ku1/2u T Au and A ⎛ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎝ 2 −10··· 00 −12−1 ··· 00 0 −12··· 00 ··· ··· ··· ··· ··· ··· 000··· 2 −1 000··· −12 ⎞ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎠ N×N . 3.3 Clearly, H 1 is a locally Lipschitz function and Ju is a locally Lipschitz functional on E.Bya simple computation, we obtain ∂ ∂ut Ku2ut − ut 1 − ut − 1−Δ 2 ut − 1. 3.4 By 19, Theorem 2.2, the critical point of the functional Ju is a solution of the inclusion −Δ 2 ut − 1 ∈ h 1 ut, h 1 ut ,t∈ Z1,N, 3.5 where h 1 sminh 1 s 0,h 1 s − 0, h 1 smaxh 1 s 0,h 1 s − 0. Jianshe Yu et al. 7 Remark 3.1. We can show that h 1 sh 1 sλfsμgs for s>0, h 1 sh 1 s0fors< 0. For fixed μ and sufficiently small λ, λf0μg0 < 0. Then h 1 0λf0μg0, h 1 00. Remark 3.2. If u>0, then the above inclusion becomes −Δ 2 ut − 1λfut μgut,t∈ Z1,N. 3.6 It is clear that A is a positive definite matrix. Let η max > 0,η min > 0 be the largest and smallest eigenvalue of A, respectively. Denote by u − max{−u, 0}.LetP 1 {t ∈ Z1,N | ut ≤ 0},P 2 {t ∈ Z1,N | ut > 0}.Noticethatu − t0fort ∈ P 2 and f 1 ut 0for t ∈ P 1 . Then N t 1 f 1 utu − t t∈P 1 f 1 utu − t t∈P 2 f 1 utu − t0. 3.7 Similarly, g 1 ut 0fort ∈ P 1 . Hence N t 1 g 1 utu − t t∈P 1 g 1 utu − t t∈P 2 g 1 utu − t0. 3.8 Lemma 3.3. If u is a solution of 1.3,thenu ≥ 0. Moreover, either u>0 in Z1,N,oru 0 everywhere. Proof. It is not difficult to see that Δu − tΔutΔu − t ≤ 0fort ∈ Z0,N. In fact, no matter that Δut ≥ 0orΔut < 0, the former inequality holds. Hence Δu − t·Δut ≤−Δu − t 2 . If u is a solution of 1.3, then we have 0 N t 1 Δ 2 ut − 1λf 1 ut μg 1 ut u − t − N1 t 1 Δut − 1Δu − t − 1 N t 1 λf 1 ut μg 1 utu − t ≥ N1 t 1 Δu − t − 1 2 u − T Au − ≥ η min u − 2 . 3.9 So u − 0. Hence u ≥ 0. If ut0, then ut 1ut − 1Δ 2 ut − 1−λf 1 ut − μg 1 ut −λf 1 0 − μg 1 00. 3.10 Therefore ut 1ut − 10. It follows that u 0 everywhere. Lemma 3.4. If 1.6 and 1.7 hold, then h 1 ss ≥ β 0 H 1 s for large s>0,whereβ 0 ∈ 2,β. 8 Advances in Difference Equations Proof. Notice that h 1 ss ≥ β 0 H 1 s is equivalent to hss ≥ β 0 Hs if s>0. To prove that hss ≥ β 0 Hs for large s>0, it suffices to show that lim s → ∞ hss β 0 Hs > 1. 3.11 By 1.6,forlarges>0, we have β 0 Fs fss ≤ β 0 β . 3.12 Hence, if s>0 is large, then hss β 0 Hs λfss μgss β 0 λFsμGs 1 μgs/λfs β 0 Fs/fss β 0 μGs/λfss ≥ 1 μgs/λfs β 0 /β β 0 μGs/λfss . 3.13 Taking inferior limit on both sides of the above inequality, we have lim s → ∞ hss β 0 Hs ≥ lim s → ∞ 1 μgs/λfs β 0 /β β 0 μGs/λfss ≥ lim s → ∞ 1 μgs/λfs lim s → ∞ β 0 /β β 0 μGs/λfss . 3.14 Since f is superlinear and g is sublinear, lim s → ∞ μgs/λfs 0. Then lim s → ∞ 1 μgs/λfs lim u → ∞ 1 μgs/λfs 1. Moreover, since G is subquadratic and f is superlinear, lim u → ∞ Gs/fsslim s → ∞ Gs/s 2 /fss/s 2 0. Therefore, lim s → ∞ β 0 /ββ 0 μGs/λfsslim s → ∞ β 0 /ββ 0 μGs/λfssβ 0 /β. From the above results, we can conclude that lim s → ∞ hss/β 0 Hs ≥ β/β 0 > 1. Lemma 3.5. If 1.6 and 1.7 hold, then J satisfies (PS) condition. Proof. Notice that E ∗ E.LetLu N t1 H 1 ut.From19, Theorem 2.2, for any given w ∈ ∂Lu ⊂ E ∗ , we have wt ∈ h 1 ut, h 1 ut. Then wtλf 1 ut μg 1 ut if ut / 0,wt ∈ λf0μg0, 0 if ut0. 3.15 Therefore w, u N t 1 h 1 utut, ∀w ∈ ∂Lu. 3.16 Jianshe Yu et al. 9 By Lemma 3.4, there is a constant M>0 such that Lu ≤ 1/β 0 w, u M for u ∈ R N . Suppose that {u n } is a sequence such that Ju n is bounded and ζu n → 0asn →∞. Then by Properties 3 and 7 in Definition 2.2, there are C>0andw n ∈ ∂Lu n such that |Ju n |≤C and ∂K u n − w n ,u n ≤ u n for sufficiently large n. 3.17 It implies that u T n Au n − w n ,u n ≥− u n . 3.18 Hence C ≥ 1 2 u T n Au n − L u n ≥ 1 2 u T n Au n − 1 β 0 w n ,u n − M 1 2 − 1 β 0 u T n Au n 1 β 0 u T n Au n − w n ,u n − M ≥ 1 2 − 1 β 0 η min u n 2 − 1 β 0 u n − M. 3.19 This implies that {u n } is bounded. Since E is finite dimensional, {u n } has a convergent subsequence in E. Lemma 3.6. For fixed μ>0,thereexistρ>0 and λ>0 such that if λ ∈ 0, λ,thenJu ≥ η min M 2 1 /16λ −2/α−1 for u ρ. Proof. By 1.5 and 1.7, there are C 4 ,C 5 > 0 such that F 1 s ≤ C 1 |s| α1 α 1 C 4 , ∀s ∈ R, 3.20 G 1 s ≤ η min 4μ |s| 2 C 5 , ∀s ∈ R. 3.21 The equivalence of norm on E implies that there exists C 6 > 0 such that u α1 ≤ C 6 u, where u α1 N t1 |ut| α1 1/α1 .LetM 1 η min α 1/8C 1 C α1 6 1/α−1 and ρ M 1 λ −1/α−1 .Let 10 Advances in Difference Equations u ρ. It follows from 3.20 and 3.21 that there is λ>0 such that if λ ∈ 0, λ, then Ju 1 2 u T Au − N t 1 H 1 ut ≥ 1 2 η min u 2 − λC 1 α 1 N t 1 |ut| α1 − λC 4 N − η min 4μ ·μ N t 1 |ut| 2 − μC 5 N ≥ 1 4 η min u 2 − λC 1 C α1 6 α 1 u α1 − λC 4 N − μC 5 N λ −2/α−1 η min M 2 1 8 − λ α1/α−1 C 4 N − λ 2/α−1 μC 5 N ≥ η min M 2 1 16 λ −2/α−1 . 3.22 Lemma 3.7. Thereisane ∈ E such that e >ρand Je < 0. Proof. It follows from Remark 1.2 that Fs ≥ C 2 s β − C 3 for s>0. By the equivalence of the norms on E, there exists C 7 > 0 such that u β ≥ C 7 u, where u β N t1 |ut| β 1/β .Letv 1 be the eigenfunction to the principal eigenvalue η 1 of −Δ 2 ut − 1ηut,t∈ Z1,N, u00,uN 10 3.23 with v 1 > 0andv 1 1. Let G m min{Gu | u ∈ 0, ∞}. 3.24 Clearly G m < 0. Since β>2, for k>0, Jkv 1 1 2 k 2 v T 1 Av 1 − λ N t 1 F kv 1 t − μ N t 1 G kv 1 t ≤ η max 2 k 2 − λC 2 C 7 k β λC 3 N − μG m N −→ − ∞ as k −→ ∞. 3.25 Hence there is a k 1 >ρsuch that Jk 1 v 1 < 0. Let e k 1 v 1 . Then e >ρand Je < 0. The second condition of Mountain Pass theorem is verified. Proof of Theorem 1.1. Clearly, J00. Lemma 3.5 implies that J satisfies PS condition. It follows from Lemmas 3.6, 3.7,and2.5 that J has a nontrivial critical point u such that Ju ≥ η min M 2 1 /16λ −2/α−1 .ByLemma 3.3 and Remark 3.2, u is a positive solution of 1.1. The proof is complete. [...]... 2, pp 207–215, 2000 17 R P Agarwal, S R Grace, and D O’Regan, Discretesemipositone higher-order equations,” Computers & Mathematics with Applications, vol 45, no 6–9, pp 1171–1179, 2003 18 D Jiang, L Zhang, D O’Regan, and R P Agarwal, “Existence theory for single and multiple solutions to semipositonediscrete Dirichlet boundaryvalueproblems with singular dependent nonlinearities,” Journal of Applied... positivesolutionsfor a class of p-Laplacian systems,” Nonlinear Analysis: Theory, Methods & Applications, vol 56, no 7, pp 1007–1010, 2004 14 D D Hai and R Shivaji, “Uniqueness of positivesolutionsfor a class of semipositone elliptic systems,” Nonlinear Analysis: Theory, Methods & Applications, vol 66, no 2, pp 396–402, 2007 15 N Yebari and A Zertiti, “Existence of non-negative solutionsfor nonlinear... “On a variational approach to existence and multiplicity results forsemipositone problems, ” Electronic Journal of Differential Equations, vol 2006, no 11, pp 1–10, 2006 12 E N Dancer and Z Zhang, “Critical point, anti-maximum principle and semipositone p-Laplacian problems, ” Discrete and Continuous Dynamical Systems, supplement, pp 209–215, 2005 13 D D Hai and R Shivaji, “An existence result on positive. .. model for a two-species predator-prey system with harvesting and stocking,” Journal of Mathematical Biology, vol 30, no 4, pp 389–411, 1992 5 J F Selgrade, “Using stocking or harvesting to reverse period-doubling bifurcations in discrete population models,” Journal of Difference Equations and Applications, vol 4, no 2, pp 163–183, 1998 6 Q Yao, “Existence of n solutions and/or positivesolutions to a semipositone. .. Theorem 1.4 We will apply the subsuper solutions method to prove the multiplicity results Firstly, we will prove that there exists μ∗ > 0 such that if μ > μ∗ , then the following boundaryvalue problem −Δ2 u t − 1 u 0 t ∈ Z 1, N , μg u t , 0, u N 1 3.26 0 has a positive solution u In fact, since g u is increasing on 0, ∞ and eventually strictly positive, g u ≥ −C8 for u ≥ 0 and some C8 > 0 Let r1 be the... supersolution of 1.1 Thus, by Remark 2.9, problem 1.1 has a solution u such that u ≤ u ≤ u for μ > μ∗ and λ small, which is positivefor t ∈ Z 1, N Now we are going to find the second positive solution of problem 1.1 Notice that u and u are independent of λ Since f is positive on 0, ∞ , by the definition of f1 we have N ≥ 0 Then for u ∈ u, u , t 1 F1 u t J u N 1 T u Au − λ F1 u t 2 t 1 N 1 ≤ uT Au − μ G1 u t... /16 λ−2/ α−1 > J0 1 for ∈ u ρ Hence by Theorem 1.1, J u > J0 So u/ u, u and u / u, which shows that u and u are two different positivesolutions of 1.1 The proof is complete Proof of Theorem 1.5 Just to be on the contradiction side, let u be a positive solution of 1.1 Since f is superlinear and increasing, f 0 > 0, there are C11 , C12 > 0 such that for s ≥ 0, f s ≥ C11 s C12 Hence for λ > 0 and s ≥... Acknowledgments The authors would like to thank the referees for valuable suggestions This project is supported by National Natural Science Foundation of China no 10625104 and Research Fund for the Doctoral Program of Higher Education of China Grant no 20061078002 References 1 A Castro and R Shivaji, “Nonnegative solutionsfor a class of nonpositone problems, ” Proceedings of the Royal Society of Edinburgh... t Δr1 t 2 2μ1 r1 t − Δr1 t On the other hand, for t ∈ Q1 , we have Δr1 t that C8 2 2μ1 r1 t − Δr1 t C9 2 2 2 2 − r1 t − Δr1 t − 1 − Δr1 t − 1 2 Δr1 t − 1 − Δr1 t − 1 2 2 2 3.28 2 − 2μ1 r1 t ≥ C9 , which implies −g ψ t ≤ 0 3.29 Then for t ∈ Q1 , −Δ2 ψ t − 1 ≤ μg ψ t Next, for t ∈ Z 1, N \ Q1 , we have r1 t ≥ r for some 2 2 r > 0 and C8 /C9 r1 t ≥ C10 for some C10 C8 /C9 r 2 > 0 Hence ψ t μC8 /C9 r1... non-negative solutionsfor nonlinear equations in the semipositone case,” in Proceedings of the Oujda International Conference on Nonlinear Analysis (Oujda 2005), vol 14 of Electronic Journal of Differential Equations Conference, pp 249–254, Southwest Texas State University, San Marcos, Tex, USA, 2006 16 R P Agarwal and D O’Regan, “Nonpositone discreteboundaryvalue problems, ” Nonlinear Analysis: Theory, Methods . Equations Volume 2008, Article ID 840458, 15 pages doi:10.1155/2008/840458 Research Article Positive Solutions for Multiparameter Semipositone Discrete Boundary Value Problems via Variational Method Jianshe. multiplicity, and nonexistence of positive solutions for multiparameter semipositone discrete boundary value problems by using nonsmooth critical point theory and subsuper solutions method. Copyright. general, studying positive solutions for semipositone problems is more difficult than that for positone problems. The difficulty is due to the fact that in the semipositone case, solutions have to