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論文名稱 Title |
節點反演問題之重構公式及相關課題 The Reconstruction Formula of Inverse Nodal Problems and Related Topics |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
23 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2001-06-01 |
繳交日期 Date of Submission |
2001-06-12 |
關鍵字 Keywords |
節點反演、重構公式 reconstruction formula, inverse nodal problem |
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統計 Statistics |
本論文已被瀏覽 5739 次,被下載 1565 次 The thesis/dissertation has been browsed 5739 times, has been downloaded 1565 times. |
中文摘要 |
考慮古典的 Sturm-Liouville 系統: $$ left{ egin{array}{c} -y'+q(x)y = la y y(0) cos al + y'(0) sin al =0 y(1) cos e + y'(1) sin e =0 end{array} ight. , $$ 其中 $qin L^{1}(0,1)$,$al$、$ein [0,pi)$。 令$0<x_{1}^{(n)}<x_{2}^{(n)}<...<x_{n-1}^{(n)}<1$ 為(0,1)區間第$n$個特徵函數的$n-1$個零點(節點)。 節點反演問題是討論如何利用已知的特徵函數的零點來決定原系統的參數 $(q,al,e)$。 這個問題首先由McLaughlin 提出研究,並給出了當$qin C^1$時,$q(x)$的重構公式;1999年,Law-Shen-Yang改良了X. F. Yang 的結果並證明了同一公式,當$qin L^1$時,亦為點態收斂。 在這篇論文中,我們發現了Law-Shen-Yang在計算$s_{n}$和$l_{j}^{(n)}$的漸近公式時的錯誤, 我們重新計算並做修正 。同時,我們也給出Law-Shen-Yang重構公式的證明,藉以了解此錯誤並未影響結果。 在這篇論文的第二部分,我們將收斂性加強至$L^{1}$收斂。 我們所使用的證明方法與證明點態收斂的精神是一致的。 |
Abstract |
Consider the Sturm-Liouville system : 8 > > > > > < > > > > > : − y00 + q(x)y = y y(0) cos + y0(0) sin = 0 y(1) cos + y0(1) sin = 0 , where q 2 L 1 (0, 1) and , 2 [0, ˇ). Let 0 < x(n)1 < x(n)2 < ... < x(n)n − 1 < 1 be the nodal points of n-th eigenfunction in (0,1). The inverse nodal problem involves the determination of the parameters (q, , ) in the system by the knowledge of the nodal points . This problem was first proposed and studied by McLaughlin. Hald-McLaughlin gave a reconstruc- tion formula of q(x) when q 2 C 1 . In 1999, Law-Shen-Yang improved a result of X. F. Yang to show that the same formula converges to q pointwisely for a.e. x 2 (0, 1), when q 2 L 1 . We found that there are some mistakes in the proof of the asymptotic formulas for sn and l(n)j in Law-Shen-Yang’s paper. So, in this thesis, we correct the mistakes and prove the reconstruction formula for q 2 L 1 again. Fortunately, the mistakes do not affect this result.Furthermore, we show that this reconstruction formula converges to q in L 1 (0, 1) . Our method is similar to that in the proof of pointwise convergence. |
目次 Table of Contents |
1 Introduction 2 2 On the Reconstruction Formula 7 2.1 Some asymptotic formulas . . . . . . . . . . . . . . . . . . . . . . 7 2.2 Reconstruction formula . . . . . . . . . . . . . . . . . . . . . . . . 9 2.3 Proof of asymptotic formulas for sn and x(n)i . . . . . . . . . . . . 11 3 L 1 Convergence of the Reconstruction Formula 18 3.1 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.2 Proof of L 1 convergence . . . . . . . . . . . . . . . . . . . . . . . 20 |
參考文獻 References |
[1] F.V. Atkinson, Discrete and Continuous Boundary Problems, Academic Press, New York (1964). [2] P.J. Browne and B.D. Sleeman, Inverse nodal problems for Sturm-Liouville equations with eigenparameter dependent boundary conditions, Inverse Prob-lems 12 (1996), 377-381. [3] O.H. Hald and J.R. McLaughlin, Solutions of inverse nodal problems, Inverse Problems 5 (1989), 307-347. [4] C.K. Law, C.L. Shen and C.F. Yang, The inverse nodal problem on the smoothness of the potential function, Inverse Problems 15 (1999), 253–263. [5] C.K. Law and J. Tsay, On the well-posedness of the inverse nodal problem, Inverse Problems, to appear. [6] C.K. Law and C.F. Yang, Reconstructing the potential function and its derivatives using nodal data , Inverse Problems 14 (1998), 299-312. [7] J.R. McLaughlin, Inverse spectral theory using nodal points as data – a uniqueness result, J. Diff. Eqns. 73 (1988), 354-362.[8] C.L. Shen, On the nodal sets of eigenfunctions of the string equation, SIAM J. Math. Anal. 19 (1988), no.6, 1419-1426. [9] C.L. Shen and T.M. Tsai, On a uniform approximation of the density func-tion of a string equation using eigenvalues and nodal points and some related inverse nodal problems, Inverse Problems 11 (1995) no.5, 1113-1123. [10] X.F. Yang, A solution of the inverse nodal problem, Inverse Problems 13 (1997), 203-213. |
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