/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 8 Solve the eigenvalue problem. ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Solve the eigenvalue problem. $$ y^{\prime \prime}+\lambda y=0, \quad y^{\prime}(0)=0, \quad y(1)=0 $$

Short Answer

Expert verified
Answer: The eigenvalues are \(\lambda_n = \left(\frac{(2n-1)\pi}{2}\right)^2\) for integers \(n = 1, 2, 3, ...\), and the corresponding eigenfunctions are \(y_n(x) = A_n\cos{\left(\frac{(2n-1)\pi x}{2}\right)}\) for integers \(n = 1, 2, 3, ...\).

Step by step solution

01

Find the general solution of the differential equation for different cases of λ

Depending on the value of λ, we have three cases: Case 1: λ > 0 Let's assume λ = k² for some positive k. The given differential equation becomes: $$ y^{\prime \prime} + k^2 y = 0 $$ The general solution of the above differential equation is: $$ y(x) = A\cos{kx} + B\sin{kx} $$ Case 2: λ = 0 When λ = 0, the differential equation becomes: $$ y^{\prime \prime} = 0 $$ The general solution in this case is: $$ y(x) = Ax + B $$ Case 3: λ < 0 Let's assume λ = -k² for some positive k. The given differential equation becomes: $$ y^{\prime \prime} - k^2 y = 0 $$ The general solution of the above differential equation is: $$ y(x) = A\cosh{kx} + B\sinh{kx} $$
02

Apply boundary conditions to each case

We will now use the boundary conditions \(y^{\prime}(0)=0\) and \(y(1)=0\) to find the possible eigenvalues (λ) and eigenfunctions (y(x)) for each case. Case 1: λ > 0 Applying the first boundary condition (y'(0) = 0), we get: $$ -kA\sin{0} + kB\cos{0} = 0 => kB = 0 $$ Since k is nonzero, this gives B = 0, and the solution becomes: $$ y(x) = A\cos{kx} $$ Applying the second boundary condition (y(1) = 0), we get: $$ A\cos{k} = 0 $$ For non-trivial solutions (y(x) ≠ 0), A ≠ 0 and \(\cos{k} = 0\). This implies that \(k = \dfrac{(2n-1)\pi}{2}\) for integers n. Therefore, λ = \(k^2 = \left(\frac{(2n-1)\pi}{2}\right)^2\) for integers n, and eigenfunctions are given by: $$ y_n(x) = A_n\cos{\left(\frac{(2n-1)\pi x}{2}\right)} $$ Case 2: λ = 0 In this case, the general solution is \(y(x) = Ax + B\). Applying the first boundary condition (y'(0) = 0), we get: $$ A = 0 $$ And the solution becomes: $$ y(x) = B $$ Applying the second boundary condition (y(1) = 0), we get: $$ y(1) = B = 0 $$ This leads to a trivial solution, meaning no eigenvalues or eigenfunctions for this case. Case 3: λ < 0 For the general solution \(y(x) = A\cosh{kx} + B\sinh{kx}\), applying the first boundary condition (y'(0) = 0), we get: $$ kA\sinh{0} + kB\cosh{0} = 0 => kB = 0 $$ Since k is nonzero, this gives B = 0, and the solution becomes: $$ y(x) = A\cosh{kx} $$ Applying the second boundary condition (y(1) = 0), we get: $$ A\cosh{k} = 0 $$ But \(\cosh{k}\) ≠ 0 for any k, so this case also leads to a trivial solution, meaning no eigenvalues or eigenfunctions for this case.
03

Conclude the possible eigenvalues and eigenfunctions for the problem

Based on the analysis of the three cases, we found eigenvalues and eigenfunctions only in the first case, where λ > 0. The eigenvalues and eigenfunctions for the given boundary value problem are: Eigenvalues: $$ \lambda_n = \left(\frac{(2n-1)\pi}{2}\right)^2, \quad n = 1, 2, 3, ... $$ Eigenfunctions: $$ y_n(x) = A_n\cos{\left(\frac{(2n-1)\pi x}{2}\right)}, \quad n = 1, 2, 3, ... $$

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Differential Equations
Differential equations are mathematical equations that provide a relation involving an unknown function and its derivatives. They play a crucial role in modeling the behavior of various physical systems across disciplines like physics, engineering, biology, and economics. In our textbook exercise, we were presented with a second-order linear homogeneous differential equation with constant coefficients:

\[ y^{\prime \prime} + \lambda y = 0, \] where \( y^{\prime \prime} \) represents the second derivative of \( y \) with respect to \( x \), and \( \lambda \) is a parameter that influences the form of the solution. The general solutions for different cases of \( \lambda \) span different functions: trigonometric functions for \( \lambda > 0 \), a linear function for \( \lambda = 0 \), and hyperbolic functions for \( \lambda < 0 \). Students often struggle with different cases but understanding that they arise from the characteristic equation of the linear differential equation is key. Each solution form has implications for the behavior of the system being modeled.
Boundary Conditions
Boundary conditions are constraints necessary to uniquely determine a solution to a differential equation within a boundary value problem. They are indispensable because second-order differential equations have infinitely many solutions without additional constraints. Our problem specifies two boundary conditions:

\[ y^{\prime}(0) = 0, \] \[ y(1) = 0. \]
The first is a Neumann boundary condition which specifies the slope of the solution at \( x = 0 \), while the second is a Dirichlet boundary condition fixing the value of the solution at \( x = 1 \). When applied, the boundary conditions significantly narrow down the possible solutions. For this eigenvalue problem, only specific values of \( \lambda \), called eigenvalues, satisfy both the differential equation and boundary conditions. These in turn produce associated functions, known as eigenfunctions. Students are advised to pay close attention to how boundary conditions are applied to the solution as they are often a source of errors.
Eigenfunctions
Eigenfunctions are non-trivial solutions to a differential equation that satisfy the given boundary conditions for certain values of \( \lambda \), known as eigenvalues. In our context, they represent the modes of a system's behavior under those constraints. It's critical to understand that not every value of \( \lambda \) will yield a meaningful solution. As the exercise demonstrates, for \( \lambda > 0 \), the eigenfunctions take the form of cosine functions times a constant:

\[ y_n(x) = A_n \cos{\left(\frac{(2n-1)\pi x}{2}\right)}, \]
while for \( \lambda = 0 \) or \( \lambda < 0 \), we only obtain trivial solutions (where the function is zero everywhere), indicating no oscillatory behavior exists under those conditions. Each eigenfunction corresponds to a unique eigenvalue and allows students to visualize the solutions that satisfy both the differential equation and boundary conditions. Keeping a firm grasp on the concept of eigenfunctions is essential for solving many physical and mathematical problems involving vibrations, waves, and quantum mechanics.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

(a) Suppose \(f(-L)=f(L), f^{\prime}(-L)=f^{\prime}(L), f^{\prime}\) is continuous, and \(f^{\prime \prime}\) is piecewise continuous on \([-L, L]\). Use Theorem 11.2 .4 and integration by parts to show that $$ f(x)=a_{0}+\sum_{n=1}^{\infty}\left(a_{n} \cos \frac{n \pi x}{L}+b_{n} \sin \frac{n \pi x}{L}\right), \quad-L \leq x \leq L $$ with $$ \begin{array}{c} a_{0}=\frac{1}{2 L} \int_{-L}^{L} f(x) d x \\ a_{n}=-\frac{L}{n^{2} \pi^{2}} \int_{-L}^{L} f^{\prime \prime}(x) \cos \frac{n \pi x}{L} d x, \quad \text { and } \quad b_{n}=-\frac{L}{n^{2} \pi^{2}} \int_{-L}^{L} f^{\prime \prime}(x) \sin \frac{n \pi x}{L} d x, n \geq 1 \end{array} $$ (b) Show that if, in addition to the assumptions in (a), \(f^{\prime \prime}\) is continuous and \(f^{\prime \prime \prime}\) is piecewise continuous on \([-L, L],\) then $$ a_{n}=\frac{L^{2}}{n^{3} \pi^{3}} \int_{-L}^{L} f^{\prime \prime \prime}(x) \sin \frac{n \pi x}{L} d x . $$

(a) Suppose \(g^{\prime}\) is continuous on \([a, b]\) and \(\omega \neq 0 .\) Use integration by parts to show that there's a constant \(M\) such that $$ \left|\int_{a}^{b} g(x) \cos \omega x d x\right| \leq \frac{M}{\omega} \quad \text { and } \quad\left|\int_{a}^{b} g(x) \sin \omega x d x\right| \leq \frac{M}{\omega}, \quad \omega>0 $$ (b) Show that the conclusion of (a) also holds if \(g\) is piecewise smooth on \([a, b] .\) (This is a special case of Riemann's Lemma. (c) We say that a sequence \(\left\\{\alpha_{n}\right\\}_{n=1}^{\infty}\) is of order \(n^{-k}\) and write \(\alpha_{n}=O\left(1 / n^{k}\right)\) if there's a constant \(M\) such that $$ \left|\alpha_{n}\right|<\frac{M}{n^{k}}, \quad n=1,2,3, \ldots $$ Let \(\left\\{a_{n}\right\\}_{n=1}^{\infty}\) and \(\left\\{b_{n}\right\\}_{n=1}^{\infty}\) be the Fourier coefficients of a piecewise smooth function. Conclude from (b) that \(a_{n}=O(1 / n)\) and \(b_{n}=O(1 / n)\)

Use Theorem 11.3.5(a) to find the Fourier cosine series of \(f\) on \([0, L]\). $$ f(x)=x^{2}\left(3 x^{2}-8 L x+6 L^{2}\right) $$

Find the Fourier sine series. $$ f(x)=e^{x} ; \quad[0, \pi] $$

Use Theorem 11.3.5(c) or, where applicable, Exercise 11.1.42(b), to find the mixed Fourier cosine series of \(f\) on \([0, L]\). $$ f(x)=x^{2}(L-x) $$

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.