Abstract
This paper is concerned with the nonlinear eigenvalue problem
Here, \(f(u) = u^{2n+1} + \frac{\sin (u^2)}{u}\) (\(n = 0,1,2, \ldots \)) and \(\lambda > 0\) is a bifurcation parameter. Since \(f(u) > 0\) for \(u > 0\), \(\lambda \) is a continuous function of the maximum norm \(\alpha = \Vert u_\lambda \Vert _\infty \) of the solution \(u_\lambda \) associated with \(\lambda \), and is expressed as \(\lambda = \lambda (\alpha )\). In this paper, by the argument of the stationary phase method, we establish the precise asymptotic formulas for \(\lambda (\alpha )\) as \(\alpha \rightarrow \infty \), which seem to be new, and \(\alpha \rightarrow 0\) for the better understanding the global structure of \(\lambda (\alpha )\).
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1 Introduction
This paper is concerned with the following nonlinear eigenvalue problems
where \(f(u) = u^{2n+1} + (\sin (u^2))/u\) (\(u > 0\)), \(f(0):= 0\) (\(n = 0,1,2, \ldots \)) and \(\lambda > 0\) is a bifurcation parameter. Since \(f(u) > 0\) for \(u > 0\), we know from [10] that for any given \(\alpha > 0\), there exists a unique classical solution pair \((\lambda , u_\alpha )\) of (1.1–1.3) satisfying \(\alpha = \Vert u_\alpha \Vert _\infty \). Furthermore, \(\lambda \) is parameterized by \(\alpha \) as \(\lambda = \lambda (\alpha )\) and is a continuous function for \(\alpha > 0\).
A large number of researches about global and local structure of bifurcation diagrams has been carried out, since many topics have been proposed from mathematical physics, biology, engineering, and they have been investigated by many authors intensively. We refer to [2, 3, 5] and the references therein. It should be mentioned that oscillatory phenomena of bifurcation curves are one of the important topics to think about. Besides, the study of oscillatory bifurcation curves is expected to develop a new aspect in the field of bifurcation theory. We refer to [6,7,8,9, 12,13,14,15] and the references therein.
The Eqs. (1.1)–(1.3) with \(f(u) = u + \sin \sqrt{u}\) has been studied in Cheng [4], which was motivated by [1]. It was proposed as a model equation which produces an oscillatory bifurcation curve. It was proved in [4] that there exists arbitrary many solutions near \(\lambda = \pi ^2/4\).
Theorem 1.1
[4, Theorem 6]. Let \(f(u) = u + \sin \sqrt{u}\) \((u \ge 0)\). Then for any integer \(r \ge 1\), there is \(\delta > 0\) such that if \(\lambda \in (\pi ^2/4-\delta , \pi ^2/4 + \delta )\), then (1.1)–(1.3) has at least r distinct solutions.
It seems reasonable to expect that, in the situation of Theorem 1.1, \(\lambda (\alpha )\) oscillates and intersects the line \(\lambda = \pi ^2/4\) infinitely many times for \(\alpha \gg 1\). To obtain a positive answer to this question, the following asymptotic formula for \(\lambda (\alpha )\) has been established in [14].
Theorem 1.2
[14, Theorem 1.1].
- (i)
Let \(f(u) = u + \sin \sqrt{u}\) (\(u \ge 0\)). Then as \(\alpha \rightarrow \infty \),
$$\begin{aligned} \lambda (\alpha ) = \frac{\pi ^2}{4} - \pi ^{3/2} \alpha ^{-5/4} \sin \left( \sqrt{\alpha }-\frac{\pi }{4}\right) + o(\alpha ^{-5/4}). \end{aligned}$$(1.4) - (ii)
Let \(f(u) = u+\sin (u^2)\). Then as \(\alpha \rightarrow \infty \),
$$\begin{aligned} \lambda (\alpha )= & {} \frac{\pi ^2}{4} - \frac{\pi ^{3/2}}{2}\alpha ^{-2} \sin \left( \alpha ^2-\frac{1}{4}\pi \right) + o(\alpha ^{-2}). \end{aligned}$$(1.5)
Theorem 1.2 was proved by the time-map method and the asymptotic formulas for some special functions. Especially, Fresnel’s integral played an important role in the proof of Theorem 1.2 (ii).
Besides, by using the time-map formula and stationary phase method, the precise asymptotic formula for \(\lambda (\alpha )\) of (1.1)–(1.3) with more general nonlinear term \(f(u) = u + u^p\sin (u^q)\) (\(0 \le p < 1\), \(0 < q \le 1\)) as \(\alpha \rightarrow \infty \) was established in [15].
Theorem 1.3
[15]. Let \(f(u) = u + u^p\sin (u^q)\) (\(u \ge 0\)), where \(0 \le p < 1\) and \(0 < q \le 1\) are fixed constants. Then as \(\alpha \rightarrow \infty \),
The following is the rough graph of the bifurcation curve in (1.6) with \(p + q > 1\). Theorem 1.3 gives us the clear picture about the total shape of bifurcation curve of (1.1) with \(f(u) = u + u^p\sin (u^q)\).
Unfortunately, however, the case where \(p < 0\) has not been treated in [15]. The reason why is as follows. In the proof of Theorem 1.3, the standard argument of stationary phase method in [9, Lemmas 2.24 and 2.25] can be applicable, because the phase function appeared there has only one stationary point. However, to treat the case where \(f(u) = u^{2n+1} + (\sin (u^2))/u\) (\(u > 0\)) by the stationary phase method, two stationary points appear in the phase function, and it makes the argument difficult (Fig. 1).
The purpose of this paper is to overcome this difficulty and treat the case where \(p = -1\), \(q=2\) (as Theorem 1.2 (ii)) and \(n = 0, 1, 2, \ldots \) in order to obtain a new asymptotic behavior of oscillatory bifurcation curves. It seems that the bifurcation problems with such kind of nonlinear terms have not been considered yet.
Now we state our main results.
Theorem 1.4
(Main Theorem) Let \(\displaystyle {f(u) = u^{2n+1} + \frac{\sin (u^2)}{u}}\) (\(u > 0\)) and \(f(0) := 0\) (\(n = 0,1,2,\ldots \)). Then as \(\alpha \rightarrow \infty \),
where
We remark that the second term of (1.7) includes both oscillatory term and a constant. This phenomenon characterizes the difference between the asymptotic behavior of bifurcation curves in Theorems 1.3 and 1.4. As far as the author knows, it does not seem that such formula was obtained before.
We next establish the asymptotic formulas for \(\lambda (\alpha )\) as \(\alpha \rightarrow 0\) to obtain the whole structure of \(\lambda (\alpha )\).
Theorem 1.5
(Main Theorem). Let \(\displaystyle {f(u) = u^{2n+1} + \frac{\sin (u^2)}{u}}\) (\(u > 0\)), \(f(0) := 0\) (\(n = 0, 1,2,\ldots \)). Then as \(\alpha \rightarrow 0\), the following asymptotic formulas for \(\lambda (\alpha )\) hold.
- (i)
Let \(n = 0\). Then
$$\begin{aligned} \lambda (\alpha ) = \frac{\pi ^2}{8} + \frac{5}{768}\pi ^2\alpha ^4 + o(\alpha ^4). \end{aligned}$$(1.9) - (ii)
Let \(n = 1\), Then
$$\begin{aligned} \lambda (\alpha ) = \frac{\pi ^2}{4} - \frac{3}{16}\pi ^2\alpha ^2 + o(\alpha ^2). \end{aligned}$$(1.10) - (iii)
Let \(n = 2\). Then
$$\begin{aligned} \lambda (\alpha ) = \frac{\pi ^2}{4} - \frac{25}{192}\pi ^2\alpha ^4 + o(\alpha ^4). \end{aligned}$$(1.11) - (iv)
Let \(n \ge 3\). Then
$$\begin{aligned} \lambda (\alpha ) = \frac{\pi ^2}{4} + \frac{5}{192}\pi ^2\alpha ^4 + o(\alpha ^4). \end{aligned}$$(1.12)
The proof of Theorem 1.5 is carried out easily by time-map method and Taylor expansion theorem. By Theorems 1.4 and 1.5, we find that the rough shape of \(\lambda (\alpha )\) is like the graph below (Figs. 2, 3).
2 Proof of Theorem 1.4
In what follows, we denote by C the various positive constants independent of \(\alpha \). In this section, let \(\alpha \gg 1\), and for \(u \ge 0\), let \(f(u) = u^{2n+1} + g(u)\), where \(g(u) = \displaystyle {\frac{\sin (u^2)}{u}}\) and
It is known that if \((u_\alpha , \lambda (\alpha )) \in C^2(\bar{I}) \times \mathbb {R}_+\) satisfies (1.1)–(1.3), then
By (1.1), we have
By this, (2.3) and putting \(t = 0\), we obtain
This along with (2.4) implies that for \(-1 \le t \le 0\),
Let \(n = 0\). We fix an arbitrary constant \(0 < \epsilon \ll 1\). Let \(0 \le s \le \epsilon /\alpha \). Then
Let \(\epsilon /\alpha \le s \le 1\). Then
By (2.6) and (2.7), for \(0 \le s \le 1\), we obtain
Let \(n \ge 1\). For \(0 \le s \le 1\), we have
By this, for \(0 \le s \le 1\), we obtain
By (2.5), (2.8) and (2.10), putting \(\theta = u_\alpha (t) = \alpha s\) and Taylor expansion, we obtain
We put
To calculate \(K(\alpha )\), we introduce the following Lemma 2.1, which is the special case of stationary phase methods. Namely, the phase function w(x) has two stationary points.
Lemma 2.1
Assume that \(h \in C^2[0,1]\). Consider
where \(w(x) = \cos ^2(\pi x/2)\). Then as \(\mu \rightarrow \infty \),
In particular,
Proof
The proof is a variant of [9, Lemmas 2.24 and 2.25]. For completeness, we give the proof. We note that both \(x = 0\) and \(x = 1\) are stationary points of w(x). Therefore, [9, Lemma 2.25] cannot be applied directly. So, let \(I(\mu ):= I_1(\mu ) + I_2(\mu )\), where
We put \(x = t/2\) and \(\tilde{w}(t) = w(x)\). Since \(\tilde{w}''(0) = -\pi ^2/8\), by [7, Lemma 2], we obtain
We know from [9, Lemma 2.24] that for a given constant \(a>0\) and \(h_1(t) \in C^2[0,a]\), as \(\mu \rightarrow \infty \),
Let \(x = 1-y\), \(t = \sin (\pi y/2)\) and \(h_1(y) := h(1-y)\). By (2.16) and (2.18), we obtain
By (2.16), (2.17) and (2.19), we obtain (2.14). Thus the proof is complete. \(\square \)
We emphasize that Lemma 2.1 is able to be applied to the case where the phase function w(x) has two stationary points \(x = 0\) and \(x = 1\), namely, \(w'(0) = w'(1) = 0\). In a standard stationary phase method, only \(x = 0\) is allowed to be the stationary point (cf. [9, Lemmas 2.25]). We also refer to [11, Theorem 2.3], in which the cases where w(x) with many stationary points have been considered. However, since the proof of [11, Theorem 2.3] is rather complicated, it seems that the proof of Lemma 2.1 above is more straghtforward and easy to understand.
Lemma 2.2
As \(\alpha \rightarrow \infty \),
Proof
We put \(s = \sin \theta \) in (2.12). Then by integration by parts, we obtain,
By l’Hôpital’s rule, we obtain
Therefore, we see that \(K_0(\alpha ) = 0\). Next, by putting \(\theta = \pi /2-y\) and \(y = \pi x/2\), we obtain
We put \(\mu = \alpha ^2\) and \(h(x) = \left( 1 + \cos ^2\left( \frac{\pi }{2}x\right) + \cos ^{2n}\left( \frac{\pi }{2}x\right) \right) ^{-3/2}\). By direct calculation, we obtain \(h(0) = (n+1)^{-3/2}\) and \(h(1)=1\). Then by Lemma 2.1, we obtain
Finally, we calculate \(K_2(\alpha )\). We put
By this and integration by parts, we obtain
By this, putting \(\theta = \pi /2 - y, y = \pi t/2\), we obtain
where
It is clear that k(t) is \(C^2[0,1)\). The regularity of k(t) near \(t = 1\) is obtained as follows. We put \(x:= 1-t\) and \(v(x) := k(t)\). Then by Taylor expansion, for \(0 < x \ll 1\), we have
By this, for \(0 < x \ll 1\), we obtain
This assures \(C^2\)-regularity of v(x) near \(x = 0\), namely, k(t) is \(C^2\) near \(t = 1\). Since \(k(0) = k(1) = 0\) by direct calculation, by Lemma 2.1, we obtain \(K_2(\alpha ) = O(\alpha ^{-2})\). By this and (2.25), we obtain (2.20). Thus the proof is complete. \(\square \)
Now Theorem 1.4 is a direct consequence of (2.11) and Lemma 2.2. Thus the proof is complete. \(\square \)
3 Proof of Theorem 1.5
In this section, let \(0 < \alpha \ll 1\).
Proof of Theorem 1.5 (i)
Let \(n = 0\). Then it follows from (1.1) and Taylor expansion that
By this and the same argument as that to obtain (2.5), for \(-1 \le t \le 0\), we have
By this, putting \(u_\alpha (t) = \alpha s\), Taylor expansion and direct calculation, we obtain
This implies (1.9). Thus the proof is complete. \(\square \)
Proof of Theorem 1.5 (ii)
Let \(n = 1\). Then it follows from (1.1) and Taylor expansion that
By this and the same argument as that to obtain (2.5), for \(-1 \le t \le 0\), we have
By this, putting \(u_\alpha (t) = \alpha s\) and the same calculation as that to obtain (3.3), we obtain
By this, we obtain (1.10). Thus the proof is complete. \(\square \)
Proof of Theorem 1.5 (iii) and (iv)
It follows from (1.1) and Taylor expansion that
By this, and the same argument as (3.2) and (3.3), we obtain (1.11) and (1.12). Thus the proof is complete. \(\square \)
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This work was supported by JSPS KAKENHI Grant Number JP17K05330.
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Shibata, T. Asymptotic Behavior and Global Structure of Oscillatory Bifurcation Diagrams. Results Math 74, 145 (2019). https://doi.org/10.1007/s00025-019-1072-1
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DOI: https://doi.org/10.1007/s00025-019-1072-1