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Oscillatory property of solutions to nonlinear eigenvalue problems

Tetsutaro Shibata

B

Laboratory of Mathematics, Graduate School of Engineering, Hiroshima University Higashi-Hiroshima, 739-8527, Japan

Received 16 April 2019, appeared 5 September 2019 Communicated by John R. Graef

Abstract. This paper is concerned with the nonlinear eigenvalue problem

u00(t) =λ(u(t) +g(u(t))), u(t)>0, tI:= (−1, 1), u1) =0,

whereg(u) =upsin(uq)(0p<1, 0<q1) andλ>0 is a bifurcation parameter. It is known that, for a givenα>0, there exists a unique solution pair(λ(α),uα)∈R+× C2(I) satisfying α = kuαk(= uα(0)). We establish the precise asymptotic formula for Lr-norm kuαkr (1r < ∞) of the solution uα as α to show the evidence that uα(t) is oscillatory as α∞. We also obtain the asymptotic formula for λ in Lr-framework, which has different property from that for diffusive logistic equation of population dynamics.

Keywords: global structure of bifurcation curves, oscillatory nonlinear terms.

2010 Mathematics Subject Classification: 34C23, 34F10, 34B15.

1 Introduction

This paper is concerned with the following nonlinear eigenvalue problems

−u00(t) =λ(u(t) +g(u(t))), t∈ I := (−1, 1), (1.1)

u(t)>0, t ∈ I, (1.2)

u(−1) =u(1) =0, (1.3)

where g(u)is an oscillatory nonlinear term andλ>0 is a parameter. We know from [11] that ifu+g(u)>0 foru>0, then for any givenα>0, there exists a unique classical solution pair (λ,uα)of (1.1)–(1.3) satisfyingα= kuαk(= uα(0)). Furthermore, λis parametrized by αas λ= λ(α)and is continuous inα>0.

In this paper, we study the oscillatory behavior of uα(t) as α by establishing the asymptotic formula for kuαkr, where kuαkr (1 ≤ r < ∞) is Lr-norm of uα. Furthermore, we establish the asymptotic formula for λ(β)(β:=kuαkr) asα∞.

BEmail: tshibata@hiroshima-u.ac.jp

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A lot of investigation on the global behavior of the bifurcation curves have been made for a long time. Indeed, many topics come from mathematical biology, engineering, etc., and have been investigated intensively by many authors. We refer to [1–3,5,6,12] and the references therein. On the other hand, there seems to be few works about the oscillatory properties of bifurcation curves. The important point is that, if bifurcation curves have the oscillatory structures, it is reasonable to suppose that the equations contain some oscillatory nonlinear terms. Therefore, there is a close relationship between oscillatory phenomena of bifurcation curves and inverse bifurcation problems. We refer to [7,9,10,13,14] and the references therein.

Our equation here is motivated by the work of Cheng [4], which was proposed as a model case of oscillatory bifurcation phenomenon. In [4], the equation (1.1)–(1.3) withg(u) =sin√

u has been treated. It has been shown there that there are arbitrary many solutions near the line λ=π2/4.

Theorem 1.1 ([4, Theorem 6]). Let g(u) = sin√

u (u ≥ 0). Then for any integer n ≥ 1, there is δ>0such that ifλ∈ (π2/4−δ,π2/4+δ), then(1.1)–(1.3)has at least n distinct solutions.

Theorem1.1suggests thatλ(α)oscillates and intersects the line λ= π2/4 infinitely many times forα1 if g(u) =sin

u. Motivated by this result, the following asymptotic formula has been obtained recently in [13].

Theorem 1.2([13, Theorem 1.1]). Let g(u) =sin√

u. Then asα∞, λ(α) = π

2

4 −π3/2α5/4sin√ απ

4

+o(α5/4). (1.4) It should be mentioned that the proof of Theorem1.2depends on a very long calculation of the time-map, and it seems that the method in [13] is not applicable to the case whereg(u) is a relevant nonlinear term, such as g(u) = sin(uq). We remark that the case g(u) = sinu was considered in [8] and found that stationary phase method is applicable to understand the oscillatory bifurcation.

Motivated by [8] and [13] by using the time-map argument and careful use of the stationary phase method, the precise asymptotic formulas forλ(α)withg(u) =upsin(uq)asαwere obtained in [15].

Theorem 1.3 ([15]). Let g(u) = upsin(uq), where 0 ≤ p < 1and0 < q ≤ 1 are fixed constants.

Then asα∞,

λ(α) = π

2

4 − π

3/2

p2qαp1−(q/2)sin αqπ

4

+o(αp1−(q/2)). (1.5) Nevertheless to say, Theorem1.3 coincides with Theorem1.2if p=0 andq=1/2.

On the other hand, as far as the author knows, the precise asymptotic behavior of uα(t) itself asαis not known yet. It is easy to see from Theorem1.3that asα∞,

uα(t)

α →cosπ 2t

(1.6) in C(I¯). In other words, the leading term of uα(t) is equal toαcos π2t

. Therefore, it seems interesting to clarify howuα(t)oscillates asα→∞. In this paper, since it is difficult to obtain the explicit second term ofuα, we establish the precise asymptotic formula forkuαkrto show thatuα(t)certainly oscillates asα∞.

Now we state our main result.

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Theorem 1.4. Let1 ≤ r < be fixed, and g(u) = upsin(uq), where0 ≤ p < 1, 0 < q ≤ 1 are fixed constants satisfying p=0, q =1or p+1≥2q.

(i) The following asymptotic formulas hold asα∞.

kuαkrr=

αcosπ 2t

r r+ 4

π Ar

s 2 πq

rπ 2q

!

αp1q/2+rsin αqπ

4

(1.7) +o(αp1q/2+r),

where

Ar:=

Z 1

0

sr

1−s2ds=

Z π/2

0 cosrtdt. (1.8)

(ii) Let βr(α):=4Aπ

r

1/r

kuαkr. Then asα

λ(βr(α)) = π

2

4 − π

3/2

p2qβr(α)p1−(q/2)sin

βr(α)qπ 4

+o(βr(α)p1−(q/2)). (1.9)

Corollary 1.5. Let vα(t):=uα(t)−αcos π2t

. Assume p=0,q=1/2. Then asα∞,

Z 1

1

vα(t)dt= 4 π

2

π

−√ π

α1/4sin √

απ 4

+o(α1/4). (1.10) Therefore, we see thatuα(t)is eventually oscillatory as α→∞. The restriction ofp andq in Theorem1.4 comes from the lack of regularity when we use the stationary phase method in the proof.

It should be mentioned that the asymptotic formula (1.9) for α 1 coincides with (1.5) up to the second term. Such phenomenon forλin L-framework and Lr-framework does not occur when we consider the diffusive logistic equations of population dynamics (cf. [12]). If we consider the asymptotic behavior of λ in Lr-framework, then usually, its second term is affected by the growth rate of the slope of boundary layeru0α(±1), and in the case of diffusive logistic equation, it is greater than that of kuαk. On the other hand, in our problem, the the growth rate of u0α(±1)is the same as that ofkuαk. This is the reason why (1.9) is the same as (1.5).

2 Proof of Theorem 1.4

Letα1 in this section. We denote byCthe various positive constants independent ofα. Let g(u) =upsin(uq)foru≥0 and

G(u):=

Z u

0

g(s)ds. (2.1)

If(uα,λ(α))∈C2(I¯R+satisfies (1.1)–(1.3), then

uα(t) =uα(−t), 0≤t ≤1, (2.2) uα(0) = max

1t1uα(t) =α, (2.3)

u0α(t)>0, −1≤t<0. (2.4)

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We introduce the standard time-map argument (cf. [15]). By (1.1), we obtain u00α(t) +λ(uα(t) +g(uα(t)))u0α(t) =0.

This along with (2.3) implies that, by puttingt =0, we obtain 1

2u0α(t)2+λ 1

2uα(t)2+G(uα(t))

=constant=λ 1

2α2+G(α)

. This along with (2.4) implies that for−1≤ t≤0,

u0α(t) =√ λ

q

α2−uα(t)2+2(G(α)−G(uα(t))). (2.5) For 0≤s≤1, we have

G(α)−G(αs) α2(1−s2)

=

Rα αsg(t)dt α2(1−s2)

≤Cαp+1(1−sp+1)

α2(1−s2) ≤Cαp1 1. (2.6) By (2.2), (2.4), (2.5), (2.6), puttings:=uα(t)/αand Taylor expansion, we obtain

kuαkrr =2 Z 0

1uα(t)rdt (2.7)

= √2 λ

Z 0

1

uα(t)ru0α(t) p

α2−uα(t)2+2(G(α)−G(uα(t)))dt

= √2 λ

Z α

0

θr p

α2θ2+2(G(α)−G(θ))

=

r

λ

Z 1

0

sr

√1−s2q

1+2(G(α)−G(αs))

α2(1s2)

ds

=

r

λ

Z 1

0

sr

√1−s2

1− 1 α2

(1+o(1))G(α)−G(αs) 1−s2

ds

=

r

λ

Ar1 α2

(1+o(1))

Z 1

0

sr(G(α)−G(αs)) (1−s2)3/2 ds

. We put

D(α):=

Z 1

0

sr(G(α)−G(αs))

(1−s2)3/2 ds. (2.8)

By combining [8, Lemma 2] and [10, Lemma 2.25], we have following equalities.

Lemma 2.1 ([8, Lemma 2], [10, Lemma 2.25]). Assume that the function f(r) ∈ C2[0, 1], and h(r) =cos(πr/2). Then asµ

Z 1

0 f(r)eiµh(r)dr=ei(µ−(π/4)) s 2

πµf(0) +O 1

µ

. (2.9)

In particular, by taking the imaginary part of (2.9), Z 1

0 f(r)sin(µh(r))dr= s

2

πµf(0)sin µπ

4

+O 1

µ

. (2.10)

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Lemma 2.2. Assume that p=0,q=0or p+1≥2q. Then as α∞, D(α) =

rπ

2qαp+1q/2sin αqπ

4

+O(αq). (2.11) Proof. We puts =sinθin (2.8). Then by integration by parts, we obtain

D(α) =

Z π/2

0

1

cos2θ{sinrθ(G(α)−G(αsinθ))}dθ (2.12)

=

Z π/2

0

(tanθ)0{sinrθ(G(α)−G(αsinθ))}dθ

= [tanθ{sinrθ(G(α)−G(αsinθ))}]π/20

Z π/2

0 tanθ{rsinr1θcosθ(G(α)−G(αsinθ))−αcosθsinrθg(αsinθ)}dθ :=D0(α)−rD1(α) +αD2(α),

where

D0(α):= [tanθ{sinrθ(G(α)−G(αsinθ))}]π/20 , (2.13) D1(α):=

Z π/2

0 sinrθ(G(α)−G(αsinθ))dθ, (2.14) D2(α) =

Z π/2

0

sinr+1θg(αsinθ)dθ. (2.15)

By l’Hôpital’s rule, we obtain lim

θπ/2

Rα

αsinθypsin(yq)dy

cosθ = lim

θπ/2

αcosθ(αsinθ)psin((αsinθ)q)

sinθ =0.

This implies that D0(α) =0.

We putS(θ):=Rθ

0 sinrxdx, sinqθ =sinx. By this and (2.14), we obtain D1(α) =

Z π/2

0 S0(θ)(G(α)−G(αsinθ))dθ (2.16)

= [S(θ)(G(α)−G(αsinθ))]π/20 +αp+1 Z π/2

0 S(θ)cosθsinpθsin(αqsinqθ)dθ

=αp+1 Z π/2

0 S(θ)cosθsinpθsin(αqsinqθ)dθ

= α

p+1

q

Z π/2

0 S(sin1(sin1/qx))sin(p+1q)/qxcosxsin(αqsinx)dx.

By direct calculation, we obtain d

dxS(sin1(sin1/qx)) = 1

qsin(r+1q)/qx s

1−sin2x

1−sin2/qx. (2.17) Since (r+1−q)/q ≥ 1, we see that sin(r+1q)/qx ∈ C1[0,π/2]. Furthermore, by direct cal- culation, we see that

q 1sin2x

1sin2/qx ∈ C2[0,π/2]. Consequently, S(sin1(sin1/qx))∈ C2[0,π/2]. Now we put x= π2(1−y)to obtain

D1(α) = π 2qαp+1

Z 1

0 S

sin1

cos1/qπ 2y

(2.18)

×cos(p+1q)/qπ 2y

sinπ 2y

sin

αqcosπ 2y

dy.

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Let f(y) = S sin1 cos1/q π2y

cos(p+1q)/q π2y

sin π2y

andµ= αq. If p= 0 andq= 1, p+1 = 2qor p+1 ≥3q, then we directly apply Lemma2.1to (2.18) to obtain thatD1(α) = O(αq). If 2q < p+1 < 3q, then we are also able to apply Lemma 2.1 and obtain that D1(α) = O(αq), although cos(p+1q)/q π2y

∈ C1+e[0, 1] with 0 < e = (p+1−2q)/q < 1.

(cf. Appendix). Finally, D2(α) =αp

Z π/2

0 sinr+1+pθsin(αqsinqθ)dθ (2.19)

= π 2qαp

Z 1

0 cos(p+2+rq)/q π

2y

s 1−cos2 π2y 1−cos2/q π2r sin

αqcos

π 2y

dy.

Let f(y) =cos(p+2+rq)/q π2y

r 1cos2(π2y)

1cos2/q(π2r)andµ=αq. Then it is easy to see thatf ∈C2[0, 1] and we are able to apply Lemma2.1to (2.19) and obtain

D2(α) = rπ

2qαpq/2sin

αqπ 4

+O(αq). (2.20)

By this, (2.12), (2.18), we obtain that D(α) =

rπ

2qαp+1q/2sin αqπ

4

+O(αp+1q). (2.21) Thus the proof is complete.

Proof of Theorem1.4. (i) By (2.7), Theorem1.3, Lemma2.2and Taylor expansion, we obtain kuαkrr=

r

λ

Ar

rπ

2qαp1q/2sin

αqπ 4

+O(αp1q)

(2.22)

=2αr

Ar− rπ

2qαp1q/2sin αqπ

4

+O(αp1q)

× (

π2 4 − π

3/2

p2qαp1q/2sin αqπ

4

+o(αp1q/2) )1/2

= 4 παr

Ar

rπ

2qαp1q/2sin αqπ

4

+O(αp1q)

× (

1+ s 2

πqαp12/qsin αqπ

4

+o(αp1q/2) )

= 4 παr

(

Ar+ Ar

s 2 qπ −

rπ 2q

!

αp1q/2sin αqπ

4

+o(αp1q/2) )

.

This implies Theorem1.4 (i). The proof of Theorem 1.4 (ii) is a direct consequence of Theo- rem1.3and (2.22). Thus the proof is complete.

3 Appendix

The argument in this section, namely, (2.9) in Lemma2.1holds for 0 ≤ p< 1 and 0< q≤ 1, is taken from [15]. We putm=1/q. For 0≤x ≤1, let

f(x) = f1(x)f2(x):=cos(p+2q)/qπ 2x

s

1−cos2 π2x

1−cos2m π2x. (3.1)

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The essential point of the proof of (2.9) in this case is to show Lemma 2.24 in [10] (see also [10, Lemma 2.25]). Namely, asµ∞,

Φ(µ):=

Z 1

0 f(x)eiµx2dx = 1 2

rπ

µei(π/4)f(0) +O 1

µ

. (3.2)

We put w(x) = (f(x)− f(0))/x. Then we have f(x) = f(0) +xw(x). We know from [10, Lemma 2.24] that

Z 1

0 eiµx2dx= 1 2

rπ

µeiπ/4+O 1

µ

. (3.3)

Since f(0) =√

q, by (3.3), we obtain Φ(µ) = f(0)

Z 1

0 eiµx2dx+

Z 1

0 xeiµx2w(x)dx (3.4)

= 1 2

rπ

µeiπ/4√ q+O

1 µ

+

Z 1

0 xeiµx2w(x)dx.

We put

Φ1(µ):=

Z 1

0 xeiµx2w(x)dx. (3.5)

Now we prove that w(x) ∈ C1[0, 1], because if it is proved, then by integration by parts, we easily show thatΦ1(µ) =O(1/µ)and our conclusion (3.2) follows immediately from (3.4) and (3.5). To do this, there are several cases to consider. We note that, by direct calculation, we can show that ifq>0, namely,m>1, then f2(x)∈ C2[0, 1].

Case 1. Assume that p=0 andq=1. Then we have f(x) =cos π2x

and f ∈C2[0, 1].

Case 2. Assume that 0< q< 1 and p+2 ≥3q. Then(p+2−q)/q≥ 2 and f1(x)∈ C2[0, 1]. Consequently, f ∈C2[0, 1]in this case.

Case 3. Assume that 0 < p < 1 and q = 1. Then f(x) = cosp+1 π2x

6∈ C2[0, 1]. However, by direct calculation, we can show that w(x) = (f(x)− f(0))/x ∈ C1[0, 1]. It is reasonable, because by Taylor expansion, for 0<x 1, we have

w(x) =−(p+1)π2

8 x+O(x3). (3.6)

Case 4. Assume that 0< q< 1 and p+2 <3q. Then 1< m< 3/2 andm(p+2−(1/m)) = mp+2(m−1) +1 := η+1 > 1, 0 < η < 1 and f1(x) =cosη+1x. Since f2 ∈ C2[0, 1], by the consequence of Case 3 above, we find that w∈ C1[0, 1].

Thus the proof is complete.

Acknowledgements

This work was supported by JSPS KAKENHI Grant Number JP17K05330.

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References

[1] R. Benguria, M. C. Depassier, Variational calculation of the period of nonlinear oscilla- tors,J. Statist. Phys.116(2004), 923–931. https://doi.org/10.1023/B:JOSS.0000037219.

42798.f7;MR2082200

[2] S. Cano-Casanova, J. López-Gómez, Existence, uniqueness and blow-up rate of large solutions for a canonical class of one-dimensional problems on the half-line, J. Dif- ferential Equations 244(2008), 3180–3203. https://doi.org/10.1016/j.jde.2007.11.012;

MR2420518

[3] S. Cano-CasanovaJ. López-Gómez, Blow-up rates of radially symmetric large solutions, J. Math. Anal. Appl.352(2009), 166–174.https://doi.org/10.1016/j.jmaa.2008.06.022;

MR2499895

[4] Y. J. Cheng, On an open problem of Ambrosetti, Brezis and Cerami, Differential Integral Equations15(2002), 1025–1044.MR1919760

[5] R. Chiappinelli, On spectral asymptotics and bifurcation for elliptic operators with odd superlinear term, Nonlinear Anal. 13(1989), 871–878. https://doi.org/10.1016/0362- 546X(89)90080-1;MR0999337

[6] J. M. Fraile, J. López-Gómez, J. Sabina de Lis, On the global structure of the set of positive solutions of some semilinear elliptic boundary value problems, J. Differential Equations123(1995), 180–212.https://doi.org/10.1006/jdeq.1995.1162;MR1359917 [7] A. Galstian, P. Korman, Y. Li, On the oscillations of the solution curve for a class of

semilinear equations,J. Math. Anal. Appl.321(2006), 576–588.https://doi.org/10.1016/

j.jmaa.2005.08.074;MR2241140

[8] P. Korman, Y. Li, Infinitely many solutions at a resonance, in: Proceedings of the Conference on Nonlinear Differential Equations (Coral Gables, FL, 1999), Electron. J. Differ. Equ. Conf., Vol. 5, Southwest Texas State Univ., San Marcos, TX, 2000, pp. 105–111.MR1799048 [9] P. Korman, An oscillatory bifurcation from infinity, and from zero,NoDEA Nonlinear Dif-

ferential Equations Appl.15(2008), 335–345.https://doi.org/10.1007/s00030-008-7024- 1;MR2458642

[10] P. Korman,Global solution curves for semilinear elliptic equations, World Scientific Publish- ing Co. Pte. Ltd., Hackensack, NJ, 2012.https://doi.org/10.1142/8308;MR2954053 [11] T. Laetsch, The number of solutions of a nonlinear two point boundary value prob-

lem, Indiana Univ. Math. J. 20(1970/1971), 1–13. https://doi.org/10.1512/iumj.1970.

20.20001;MR0269922

[12] T. Shibata, Global behavior of the branch of positive solutions to a logistic equation of population dynamics.Proc. Amer. Math. Soc.136(2008), 2547–2554.https://doi.org/10.

1090/S0002-9939-08-09311-8;MR2390525

[13] T. Shibata, Asymptotic length of bifurcation curves related to inverse bifurcation prob- lems, J. Math. Anal. Appl. 438(2016), 629–642. https://doi.org/10.1016/j.jmaa.2016.

02.014;MR3466055

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[14] T. Shibata, Oscillatory bifurcation for semilinear ordinary differential equations,Electron.

J. Qual. Theory Differ. Equ.2016, No. 44, 1–13. https://doi.org/10.14232/ejqtde.2016.

1.44;MR3520431

[15] T. Shibata, Global and local structures of oscillatory bifurcation curves with application to inverse bifurcation problem, J. Spectr. Theory, published online, 2019. https://doi.

org/10.4171/JST/269

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