Layer structures for the solutions to the perturbed simple pendulum problems

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1 Layer structures for the solutions to the perturbed simple pendulum problems Tetsutaro Shibata Applied Mathematics Research Group, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, , JAPAN Abstract We consider the perturbed simple pendulum equation u (t) = μf(u(t)) + sin u(t), t := ( T,T), u(t) >, t, u(±t )=, where > and μ R are parameters. The typical example of f is f(u) = u p u (p >). The purpose of this paper is to study the shape of the solutions when. More precisely, by using a variational approach, we show that there exist two types of solutions: one is almost flat inside and another is like a step function with two steps. ntroduction We consider the perturbed simple pendulum equation u (t) = μf(u(t)) + sin u(t), t := ( T,T), (.) u(t) >, t, (.2) u(±t ) =, (.3) where T> is a constant and >, μ R are parameters. We assume that f satisfies the following conditions. (A.) f C (R),f( u) = f(u) for u R and f(u) > for u>. (A.2) f () =. (A.3) f(u)/u is increasing for <u<π. The typical example of f(u) isf(u) = u p u (p >). The purpose of this paper is to study the shape of the solutions of (.) (.3) when. More precisely, by using a variational approach, we show that (.) (.3) has two address: shibata@amath.hiroshima-u.ac.jp

2 types of solutions: one is almost flat inside and another is like a step function with two steps. Therefore, it is shown that the structure of the solutions (.) (.3) is rich. Linear and nonlinear multiparameter problems have been investigated intensively by many authors. We refer to [ 4, 6 9] and the references therein. n particular, one of the main topics for the nonlinear problems is to study the equations which develop layer type solutions. ndeed, concerning the layer structure of the solutions, a possible layer structure was brought out in [6, 7] for one-parameter singular perturbation problems; and it is known that the solutions with layers appear for two-parameter problems, which are different from (.) (.3) (cf. [ 2, 4]). Recently, Shibata [3] considered (.) (.3) for the case μ< by means of the following constrained minimization method. Let U β := {u H () : ( cos u(t))dt = β}, where <β<4t is a fixed constant and H () is the usual real Sobolev space. Regarding μ< as a given parameter, consider the minimizing problem, which depends on μ: Minimize 2 u 2 2 μ F (u(t))dt under the constraint u U β, (.4) where F (u) := u f(s)ds. Then by Lagrange multiplier theorem, for a given μ<, a unique solution triple (μ, (μ),u(μ)) R 2 + U β was obtained, where (μ) is the Lagrange multiplier. Then the following result was obtained in [3]: Theorem. ([3]). Let <θ β <πsatisfy cos θ β = β/(2t ). Then u(μ) θ β uniformly on any compact subset in and (μ) as μ. We see from Theorem. that u(μ) is almost flat inside and develops boundary layer as μ. We emphasize that this asymptotic behavior of u(μ) is the most characteristic feature of the solution of two-parameter problem (.) (.3) in the following sense. Let μ = μ < be fixed in (.) (.3) and consider a one-parameter problem v (t) = μ f(v(t)) + sin v(t), t, (.5) v(t) >, t, (.6) v(±t ) =. (.7) 2 Then for a given, there exists a unique solution (, v ) R + C (Ī). Moreover, if, then v π locally uniformly in (cf. [5]). Therefore, we do not have any solution {v } of a one-parameter problem (.5) (.7) such that v θ β (<π)as. t should be pointed out that only a flat solution has been obtained in [3], since only the case where μ< has been considered. ndeed, if μ< is assumed, then we see from [5] that the maximum norm of the solution is less than π. Therefore, by the variational method (.4), it is impossible to treat the solution of (.) (.3) with maximum norm larger than π. To treat both cases mentioned above at the same time, we adopt here another sort of variational approach. Namely, we regard >as a given parameter here and using different type of variational approach from (.4), we show that (.) (.3) has both flat and step function type solutions. t is shown that the maximum norm of step function type solution is bigger than π. 2

3 We now explain the variational framework used here. Let M α := {v H () :Q(v) := F (v(t))dt =2TF(α)}, (.8) where α> is a constant. Then consider the minimizing problem, which depends on >: Minimize K (v) := 2 v 2 2 ( cos v(t))dt under the constraint v M α. (.9) Let β(, α) := min v M α K (v). Then by Lagrange multiplier theorem, for a given >, there exists (, μ(),u ) R 2 M α which satisfies (.) (.3) with K (u )=β(, α), where μ(), which is called the variational eigenvalue, is the Lagrange multiplier. Now we state our results. Theorem.. Let <α<πbe fixed. Then (a) μ() < for. (b) u α locally uniformly on as. (c) μ() = C + o() as, where C = sin α/f(α). The following Theorem.2 is our main result in this paper. Theorem.2. Let π<α<3π be fixed. Then (a) μ() >. (b) μ() as. More precisely, as, exp( t α ( + o()) ) <μ() <exp( t α ( o()) ), where t α := (F (α) F (π))t/(f(3π) F (π)), which is positive by the condition π<α<3π and (A.). (c) Assume 3F (α) <F(3π)+2F (π). (.) Then as u 3π locally uniformly on ( t α,t α ), u π locally uniformly on ( T, t α ) (t α,t). Remark.3. (i) Theorem. (b) implies that for <α<π, u is almost flat inside and develops boundary layer as. On the other hand, Theorem.2 (c) implies that for π<α<3π satisfying (.), u has both boundary layers and interior layers. Moreover u is almost flat in ( t α,t α ) and ( T, t α ) (t α,t). n other words, u is almost a step function with two steps in this case. Therefore, the structure of u for <α<πand π < α < 3π is totally different. (ii) The raugh idea of the proof of Theorem.2 (c) is as follows. We first show that u has bounbdary layers at t = ±T. Secondly, we show that u has a interior layer in (,T) and is 3

4 almost equal to π and 3π. nequality (.) is a technical condition to obtain the estimate of u from above. Then the position of the interior layer is established automatically. f f(u) = u p u (p >), then (.) implies π<α<((3 p+ +2)/3) /(p+) π. For instance, if p = 7, then (.) is equivalent to π<α<(6563/3) /8 π =2.65 π. (iii) t is certainly important to consider the asymptotic shape of u as for the case α = π. Clearly, u is almost equal to π in ( T,) (,T). By Theorem. (b), we see that if α<πand α is very close to π, then u is almost flat and equal to π inside when. On the other hand, by Theorem.2 (c), if α>πand α is very close to π, then u is almost flat and equal to π in ( T, t α ) (t α,t), and u is almost equal to 3π in ( t α,t α ). Since α>πand α is nearly equal to π, we see that t α is very small by definition of t α and t α as α π. Therefore, if α = π, then the asymptotic shape of u when is expected to be a box with spike at t =. Therefore, it is quite interesting to determine whether the asymptotic shape of u is like a box with spike at t =as when α = π. However, it is difficult to treat this problem by our methods here. The reason why is as follows. We regard α as a parameter and denote the minimizer by u = u,α if u M α. Then it is quite natural to consider a sequence of minimizer {u,α } for a fixed, and observe a limit function u,π = lim α π u,α. Then it is not so difficult to show that u,π is also a minimizer of (.9) for α = π, and satisfies (.) (.3). Therefore, it is expected that u,π 3π as. However, to show this, the uniform estimate u,α 3π δ for all > and π<α<π+ δ for some <δ is necessary. Since this estimate is quite difficult to show, it is so hard to show whether u 3π or π as. From these points of view, it is not easy to study the case where α = π by the simple calculation. The future direction of this study is certainly to extend our investigation to the case where α = π, 3π,. The remainder of this paper is organized as follows. n Section 2, we prove Theorem.2. Section 3 is devoted to the proof of Theorem.. For the sake of completeness, we show the existence of (, μ(),u ) R 2 M α in Appendix. 2 Proof of Theorem.2 n what follows, we denote by C the various constants which are independent of. n particular, the several characters C, which appear in an equality or an inequality repeatedly, may imply the different constants each other. Proof of Theorem.2 (a). Assume that μ(). Then u > satisfies u (t) μ() f(u(t)) = sin u(t), t, u(±t ) =. Then it follows from [5] that u <π. ndeed, let <m <πsatisfy μ() f(m )= sin m. Then we know from [5] that u <m. This is impossible, since u M α and α>π. 4

5 We next prove Theorem.2 (c). To do this, we need some lemmas. For a given γ>, let t γ, [,T] satisfy u (t γ, )=γ, which is unique if it exists, since u (t) <, <t T. (2.) Lemma 2.. Let <δ be fixed. Then t π δ, T as. Proof. Since u M α (π<α<3π), we see that u >π. Therefore, there exists unique t π,. By (.), we have {u (t)+μ()f(u (t)) + sin u (t)}u (t) =. This implies that for t [,T] 2 u (t)2 + μ()f (u (t)) + ( cos u (t)) constant (2.2) = μ()f ( u )+( cos u ) (put t =) = 2 u (t π,) 2 + μ()f (π)+2 (put t = t π, ). By this and (2.), we see that for t [,T] u (t) = 2( + cos u (t)) + 2μ()(F (π) F (u (t)) + u (t π,) 2. (2.3) By this and Theorem.2 (a), for t π δ, t T, u (t) 2( cos δ). (2.4) By this, we obtain T π δ = u (t)dt 2( cos δ)(t t π δ, ). t π δ, This implies our conclusion. Lemma 2.2. Assume that u 3π for. Let an arbitrary <δ be fixed. Then t π+δ, t 3π δ, as. Lemma 2.2 can be proved by the same argument as that in Lemma 2.. So we omit the proof. Lemma 2.3. Let an arbitrary <δ be fixed. Then for t π, t π+δ, >t π δ, t π,. (2.5) Proof. By (2.3) and putting θ := π u (t), we obtain t π δ, t π, = = tπ δ, t π, δ u (t)dt 2( + cos u (t)) + 2μ()(F (π) F (u (t)) + u (t π,) 2 (2.6) dθ 2( cos θ)+2μ()(f (π) F (π θ)) + u (t π, ) 2. 5

6 Similarly, by (2.3) t π, t π+δ, = δ By this and (2.6), we obtain (2.5). dθ 2( cos θ) 2μ()(F (θ + π) F (π)) + u (t π, ) 2. (2.7) Lemma 2.4. Assume that there exists a constant <δ satisfying lim sup u > 3π + δ. Then for <δ δ and t 3π, t 3π+δ, >t π, t π+δ,. (2.8) Proof. Let <δ δ be fixed. Put t = t 3π, in (2.2). Then we obtain 2 u (t π, ) 2 + μ()f (π)+2 = 2 u (t 3π, ) 2 + μ()f (3π)+2. (2.9) By this and (A.), we see that By this and (2.2), for t [t 3π+δ,,t 3π, ], we have u (t 3π,) 2 <u (t π,) 2. (2.) 2 u (t) 2 = ( + cos u (t)) μ()(f (u (t)) F (3π)) + 2 u (t 3π, ) 2 (2.) < ( + cos u (t)) μ()(f (u (t)) F (3π)) + 2 u (t π,) 2. This along with (2.) and the same argument as that to obtain (2.6) implies that t 3π, t 3π+δ, > δ By (A.3), it is easy to see that for θ δ, dθ 2( cos θ) 2μ()(F (θ +3π)) F (3π)) + u (t π, ) 2. (2.2) F (θ +3π) F (3π) >F(θ + π) F (π). (2.3) Then (2.7), (2.2) and (2.3) imply (2.8). Thus the proof is complete. Proof of Theorem.2 (c). We first show that lim sup u 3π. (2.4) To do this, we assume that there exists a constant <δ and a subsequence of { u }, which is denoted by { u } again, such that u > 3π + δ and derive a contradiction. For <δ<δ and, we put π,δ, := t π δ, t π+δ,, 3π,δ, := t 3π, t 3π+δ,. 6

7 Then we see from Lemmas 2.3 and 2.4 that π,δ, < 2 3π,δ,, π,δ, + 3π,δ, <T. (2.5) By (2.5), for, we obtain π,δ, < 2T/3. Since u M α and u (t) =u ( t) for t [,T], by this and Lemmas 2. and 2.2, we obtain TF(α) = T F (u (t))dt (2.6) F (π δ) π,δ, + F (3π δ)(t π,δ, )+o() F (3π)T (F (3π) F (π)) π,δ, + O(δ)+o() F (3π)T 2 T (F (3π) F (π)) + O(δ)+o() 3 = 3 TF(3π)+2 3 TF(π)+O(δ)+o(). Since <δ is arbitrary, this contradicts (.). Therefore, we obtain (2.4). Then there are two possibilities: (i) lim u = π or (ii) lim u =3π. However, (i) is impossible, since u M α (π<α<3π). Hence, we obtain (ii). Then we see from Lemmas 2. and 2.2 that for any t [,T), we have only two possibilities: (i) lim u (t) =π or (ii) lim u (t) =3π. Then by (2.) and u M α, obviously, Theorem.2 (c) holds, since u (t) =u ( t) for t [,T]. Thus the proof is complete. Proof of Theorem.2 (b). The proof is divided into three steps. Step. We first show that for u 3π. (2.7) ndeed, if there exists a subsequence of { u }, which is denoted by { u } again, such that u > 3π, then by putting θ = u (t) 3π and δ := u 3π >, we see from the same calculation as that to obtain (2.2) that t 3π, > δ dθ 2( cos θ) 2μ()(F (θ +3π)) F (3π)) + u (t π, ) 2. (2.8) Further, by putting δ = δ in (2.6) and (2.7), we obtain t π δ, t π, = t π, t π+δ, = δ δ dθ 2( cos θ)+2μ()(f (π) F (π θ)) + u (t π, ) 2, (2.9) dθ 2( cos θ) 2μ()(F (θ + π) F (π)) + u (t π, ) 2. (2.2) By (2.3) and (2.8) (2.2), we obtain t 3π, >t π, t π+δ, >t π δ, t π,. (2.2) By this and the same argument to obtain (2.6), we obtain a contradiction. Therefore, we obtain (2.7). 7

8 Step 2. Assume that there exists a subsequence of {μ()}, denoted by {μ()} again, such that μ() δ >. By (2.2), we have 2 u (t)2 = μ()(f ( u ) F (u (t))) + (cos u (t) cos u ). (2.22) Let <δ be fixed. By mean value theorem and (A.3), for t [,t 3π 2δ, ] and, we obtain F ( u ) F (u (t)) f(3π 2δ)( u u (t)) (2.23) (f(3π) Cδ)( u u (t)). By (2.7) and the fact that u 3π as, for t [,t 3π 2δ, ] and, cos u (t) cos u = sin u (u (t) u ) (2.24) where <θ<. By (2.22) (2.24), for 2 cos(θ u +( θ)u (t))( u u (t)) 2 2 ( Cδ o())( u u (t)) 2, u (t) 2(f(3π) Cδ)μ()( u u (t)) + ( Cδ o())( u u (t)) 2 := A ( u u (t)) 2 + B ( u u (t)), (2.25) where By this, for, A = ( Cδ o()), B =2(f(3π) Cδ)μ(). t 3π 2δ, = = < = t3π 2δ, t3π 2δ, u 3π+2δ dt (2.26) u (t) A ( u u (t)) 2 + B ( u u (t)) dt A θ 2 + B θ dθ 3δ A (θ + B /(2A )) 2 B 2/(4A2 )dθ log A 3δ + B + 2A ( 3δ + B 2A ) 2 B2 4A 2 log B. 2A Step 3. There are three cases to consider. Case (i). Assume that there exists a subsequence of {μ()} satisfying μ()/ as. Then since μ() δ,as t 3π 2δ, C ( C + C log ) C ) (C + C log δ. μ() 8

9 This along with Lemmas 2. and 2.2 implies that u (t) π (t \{}) as. This is a contradiction, since u M α and π<α. Case (ii). Assume that there exists a subsequence of {μ()} satisfying C μ()/ C. Then by this and (2.26), as t 3π 2δ, C. (2.27) By the same reason as that of Case (i), this is a contradiction. Case (iii). Assume that there exists a subsequence of {μ()} satisfying μ()/. Then by this and (2.26), as t 3π 2δ, o ( ). (2.28) By the same reason as that of Case (i), this is a contradiction. Therefore, we see that μ() as. Finally, we show the decay rate of μ() as. Since t 3π 2δ, t α as,by (2.26), L := < A 2δ A 3δ A θ 2 + B θ dθ < t 3π 2δ, (2.29) A θ 2 + B θ dθ := L 2. Since μ() as, L = ( ) ( + o()) log(3δ + o()) + log <t α ( + o()). (2.3) Cμ() This implies that By this, we obtain log By the same argument as above, we also obtain Thus the proof is complete. μ() <t α( + o()). (2.3) μ() >exp( t α ( + o()) ). (2.32) μ() <exp( t α ( o()) ). (2.33) 9

10 3 Proof of Theorem. To prove Theorem., we follows the idea of the proof of [3, Theorem 2]. Proof of Theorem. (a). We assume that μ() and derive a contradiction. There are three cases to consider. Case. Assume that there exists a subsequence of { u }, denoted by { u } again, such that u π. Let <δ be fixed. Then by (2.2), for t [t π δ,,t] By this and (2.), 2 u (t)2 ( + cos u (t)) ( cos δ). π δ = T π δ, u (t)dt 2( cos δ)(t t π δ, ). This implies that t π δ, T as. This is a contradiction, since u M α and <α<π. Case 2. Assume that there exists a subsequence of { u }, denoted by { u } again, such that u π as. Then we see that α + δ< u <πfor <δ. Then it is clear that t α+δ, T as. ndeed, if t α+δ, T as, then 2TF(α) = lim sup Q(u ) 2TF(α + δ). This is a contradiction. Therefore, there exists a constant < ɛ such that < t α+δ, T ɛ for. We choose φ C () satisfying suppφ (T ɛ,t). Since u (t) α + δ for t (T ɛ,t) by (2.), we see that for t (T ɛ,t) and sin u (t) u (t) δ >. (3.) Then for μ() = v 2 2 inf v H (),v <. sin u (t) u (t) f(u (t)) u v (t) 2 dt v 2 dt φ 2 2 δ f(u (t)) u (t) φ2 dt φ 2 dt (3.2) Case 3. Assume that there exists a subsequence of { u }, denoted by { u } again, such that lim u <π. Since (3.) holds for any t [,T] in this case, we choose φ C () and obtain (3.2). Thus the proof is complete. For simplicity, we put μ() := μ() >. Then (.) is equivalent to u (t)+ μ()f(u(t)) = sin u(t), t. (3.3) Therefore, in what follows, we consider (3.3) with the conditions (.2) and (.3). Lemma 3.. μ() C for

11 Proof. Let θ = {t (,π): μ()f(θ) = sin θ}. Then by [5], we see that Furthermore, since u M α, we see that for By the same calculation as that to obtain (2.2), we have By (A.3), (3.5) and (3.6), we obtain Thus the proof is complete. We put u <θ <π. (3.4) u >δ >. (3.5) 2 u (t) 2 cos u (t) μ()f (u (t)) (3.6) = cos u μ()f ( u ) = 2 u (T ) 2. μ()f (δ ) μ()f ( u )= 2 u (T )2 + ( cos u ) 2. Then by (3.3), g (u) := sin u μ()f(u)/. (3.7) u u (t) =g(u (t))u (t), t. (3.8) Lemma 3.2. g (u (t)) locally uniformly on as. Proof. We assume that there exists a constant δ>, t [,T) and a subsequence of {}, denoted by {} again, such that g (u (t )) δ for. Since g (u) is decreasing for <u<πby (A.3), we see from (2.) that for any t [t,t) and g (u (t)) g (u (t )) δ. (3.9) We choose φ C () with suppφ (t,t). Then by (3.8), we obtain v 2 2 = inf v H (),v g (u (t))v 2 dt φ 2 2. δ φ 2 2 This is a contradiction. Thus the proof is complete. Lemma 3.3. C μ() for.

12 Proof. We assume that there exists a subsequence of {/ μ()}, denoted by {/ μ()} again, such that / μ() as, and derive a contradiction. Multiply (3.3) by u. Then integration by parts along with (3.4), (3.8) and Lemma 3.2 implies that as u 2 2 = = u (t) sin u (t)dt μ() f(u (t))u (t)dt (3.) g (u (t))u (t) 2 dt = o(). By (3.4) and the assumption, By this and (3.), as μ() f(u (t))u (t)dt = o(). u (t) sin u (t)dt. (3.) Since u M α, by (3.4) and (3.), we see that u (t) π t [,t ), (3.2) u (t) t (t,t], (3.3) where t := F (α)t/f(π). Then by (3.4), (3.6), (3.2) and (3.3), for t (t,t] and 2 u (t)2 = (cos u (t) cos u )+ μ()(f (u (t) F ( u )) (3.4) = 2( + o()). Let <δ be fixed. Then by (2.) and (3.4), for π>u (t + δ) u (t +2δ) = t +2δ t +δ u (t)dt 2 δ( + o()). This is a contradiction. Thus the proof is complete. Proof of Theorem. (b). Let an arbitrary <t 2 <T be fixed. We first prove that u (t 2 ) δ for. ndeed, if there exists a subsequence of {u (t 2 )}, denoted by {u (t 2 )} again, such that u (t 2 ) as, then by (A.2) and Lemmas , as sin u (t 2 ) u (t 2 ) = g (u (t 2 )) + μ() f(u (t 2 )) u (t 2 ). (3.5) This is a contradiction, since the left hand side of (3.5) tends to as. This implies that u (t) δ for any t t 2 and. Now let ξ> be an arbitrary accumulation point of { μ()/}. We see that θ π as. ndeed, if θ π as, then μ() = sin θ f(θ ). 2

13 This contradicts Lemma 3.3. Therefore, we see from (3.4), (3.5) and the argument above that for t [,t 2 ] and δ u (t) π δ. By this and Lemma 3.2, for t t 2,as ξ = lim μ() ( sin = lim u (t) f(u (t)) g ) (u (t))u (t) sin u (t) = lim f(u (t)) f(u (t)). (3.6) Since sin u (t)/f(u (t)) is increasing for t [,T], and u M α, this implies that u α locally uniformly as and ξ = C. Now our assertion follows from a standard compactness argument. Thus the proof is complete. 4 Appendix n this section, we show the existence of (, μ(),u ) R 2 M α, where u is the minimizer of the problem (.9). Let > and α> be fixed. Since K (v) 4T for any v M α, we can choose a minimizing sequence {u n } n= M α such that as n K (u n ) β(, α) 4T. (4.) Since K (u n )=K ( u n ) and u n M α by (A.), without loss of generality, we may assume that u n for n N. By (4.), for n N, 2 u n 2 2 K (u n )+4T < C. Therefore, we can choose a subsequence of {u n } n=, denoted by {u n} n= n again, such that as u n u weakly in H (), (4.2) u n u in C(Ī). (4.3) By (4.3), we see that u M α. n particular, u in. Furthermore, by (4.2) and (4.3), K (u ) = 2 u 2 2 ( cos u (t))dt lim inf n lim inf n 2 u n 2 2 lim ( 2 u n 2 2 n ( cos u n (t))dt ) ( cos u n (t))dt = β(, α). This implies that u is a minimizer of (.9). Then Q (u )u = f(u (t))u (t)dt >, where the prime denotes the Fréchet derivative of Q. Now we apply the Lagrange multiplier theorem to our situation and obtain (, μ(),u ) R 2 M α, which satisfies (.) and (.3) in 3

14 a weak sense. Here μ() is the Lagrange multiplier. Then by a standard regularity theorem, we see that u C 2 (Ī) and it follows from the strong maximum principle that u > in. Thus the proof is complete. Acknowledgements The author thnks the referee for helpful comments that improved the manuscript. References [] P. A. Binding and P. J. Browne, Asymptotics of eigencurves for second order differential equations,, J. Differential Equations 88 (99), [2] P. A. Binding and Y. X. Huang, The principal eigencurves for the p-laplacian, Differential ntegral Equations 8 (995), [3] P. A. Binding and Y. X. Huang, Bifurcation from eigencurves of the p-laplacian, Differential ntegral Equations 8 (995), [4] M. Faierman, Two-parameter eigenvalue problems in ordinary differential equations, Pitman Research Notes in Mathematics Series, 25, Longman, Harlow (99). [5] D. G. Figueiredo, On the uniqueness of positive solutions of the Dirichlet problem u = sin u, Pitman Research Notes in Mathematics Series, 22 (985), [6] R. E. O Malley Jr., Phase-plane solutions to some singular perturbation problems, J. Math. Anal. Appl. 54 (976), [7] R. E. O Malley Jr., Singular perturbation methods for ordinary differential equations, Springer, New York, 989. [8] B. P. Rynne, Bifurcation from eigenvalues in nonlinear multiparameter problems, Nonlinear Anal. 5 (99), [9] B. P. Rynne, Uniform convergence of multiparameter eigenfunction expansions, J. Math. Anal. Appl. 47 (99), [] T. Shibata, Asymptotic behavior of eigenvalues of two-parameter nonlinear Sturm-Liouville problems, J. Anal. Math. 66 (995), [] T. Shibata, nterior transition layers of solutions to perturbed Sine-Gordon equation on an interval, J. Anal. Math. 83 (2), 9 2. [2] T. Shibata, Multiple interior layers of solutions to perturbed Sine-Gordon equation on an interval, Topol. Methods Nonlinear Anal. 5 (2), [3] T. Shibata, Asymptotic behavior of eigenvalues for two-parameter perturbed elliptic Sine- Gordon type equations, Results Math. 39 (2), [4] T. Shibata, Precise spectral asymptotics for the Dirichlet problem u (t)+g(u(t)) = sin u(t), J. Math. Anal. Appl. 267 (22),

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