Chapter 12: Problem 7
(a) Find the eigenvalues and eigenfunctions of the boundaryvalue problem $$ x^{2} y^{\prime \prime}+x y^{\prime}+\lambda y=0, y(1)=0, y(5)=0 . $$ (b) Put the differential equation in self-adjoint form. (c) Give an orthogonality relation.
Short Answer
Expert verified
Eigenvalues are \( \lambda = -(n\pi/\ln(5))^2 \). DOA is self-adjoint. Orthogonality: \( \int_{1}^{5} y_n(x) y_m(x) \frac{dx}{x} = 0 \).
Step by step solution
01
Identify the form of the differential equation
The differential equation given is \( x^{2} y^{\prime \prime} + x y^{\prime} + \lambda y = 0 \). This is a second-order, linear, homogeneous equation with variable coefficients, and its solutions involve finding eigenvalues and eigenfunctions.
02
Solve the differential equation for eigenvalues and eigenfunctions
Recognize the equation as an Euler-Cauchy (or equidimensional) type, which suggests solutions of the form \( y(x) = x^m \). Plugging \( y(x) = x^m \) into the differential equation gives:\[ x^2 (m(m-1)x^{m-2}) + x(mx^{m-1}) + \lambda x^{m} = 0 \]\[ m(m-1) + m + \lambda = 0 \]Simplifying gives the characteristic equation: \( m^2 + \lambda = 0 \), leading to eigenvalues \( \lambda_n = -(n^2) \), where \( n \in \mathbb{Z} \). The solutions are \( y_n(x) = A_n x^{n} + B_n x^{-n} \). Apply boundary conditions to find non-trivial solutions, with conditions \( y(1) = 0 \) and \( y(5) = 0 \).For \( y(1) = 0 \) and \( y(5) = 0 \), substitute in the general solution:\[ A_n (1)^n + B_n (1)^{-n} = 0 \]\[ A_n (5)^n + B_n (5)^{-n} = 0 \]Solving this system shows that non-trivial solutions (eigenfunctions) occur when \( \lambda = -(n\pi/\ln(5))^2 \) for integer \( n \), resulting in eigenfunctions of the form \( y_n(x) = x^{\ln(5)} \sin(n\pi \frac{\ln(x)}{\ln(5)}) \).
03
Convert to self-adjoint form
The given equation can be rewritten in its self-adjoint form using the method of multiplying by the integrating factor. Here, the equation is already in Sturm-Liouville form, an intrinsically self-adjoint form:\[ \left( x^2 y^{\prime} \right)^{\prime} + \lambda y = 0 \]
04
State the orthogonality relation
Functions that satisfy the boundary conditions are orthogonal with respect to a weight function on a given interval. For eigenfunctions \( y_n(x) = x^{\ln(5)} \sin(n\pi \frac{\ln(x)}{\ln(5)}) \), the orthogonality relation involves:\[ \int_{1}^{5} y_n(x) y_m(x) \frac{dx}{x} = 0 \]for \( n eq m \). This involves the inner product of two eigenfunctions being zero over \( [1, 5] \) with the weight function \( \rho(x) = \frac{1}{x} \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Euler-Cauchy Differential Equation
The Euler-Cauchy differential equation is a type of differential equation characterized by its variable coefficients, which are powers of the independent variable. It's often written in the form \( x^2 y'' + a x y' + b y = 0 \). The key feature of Euler-Cauchy equations is that their solutions can typically be expressed in terms of powers of \( x \).When solving these equations, we look for solutions of the form \( y(x) = x^m \), where \( m \) is a constant to be determined. By substituting \( y(x) = x^m \) into the Euler-Cauchy equation, we derive a characteristic equation in terms of \( m \). This equation is typically quadratic, allowing us to find the values of \( m \) (the roots), and thus, the possible solutions for \( y(x) \).For example, if the original equation is \( x^2 y'' + x y' + \lambda y = 0 \), by substituting \( y(x) = x^m \), we get the characteristic equation \( m(m-1) + m + \lambda = 0 \), simplifying to \( m^2 + \lambda = 0 \). This shows how eigenvalues arise naturally from such equations.
Self-Adjoint Differential Equations
Self-adjoint differential equations are important in mathematical physics due to their nice symmetrical properties. These equations can often be put in the form\[ (p(x) y')' + q(x) y = \lambda w(x) y \]where \( p(x), q(x), \) and \( w(x) \) are real-valued functions. The significance of self-adjoint form is that it maintains the properties needed for solutions to be orthogonal.For our equation \( x^2 y'' + x y' + \lambda y = 0 \), which is already in this form as \( (x^2 y')' + \lambda y = 0 \), we can see that- \( p(x) = x^2 \)- \( q(x) = 0 \)- \( w(x) = 1 \)This equation is simplified by noting that the self-adjoint structure ensures that eigenfunctions that satisfy boundary conditions are orthogonal, making solution processes easier and more powerful in applied contexts.
Orthogonality of Eigenfunctions
Orthogonality of eigenfunctions is a crucial concept, particularly in problems involving self-adjoint operators, such as in differential equations of the form we discussed. Two eigenfunctions \( y_n(x) \) and \( y_m(x) \) are orthogonal over a certain interval \([a, b]\) with respect to a weight function \( \rho(x) \) if\[ \int_{a}^{b} y_n(x) y_m(x) \rho(x) \, dx = 0 \]for \( n eq m \).In the specific example of our Euler-Cauchy equation, the weight function provided by the self-adjoint form is \( \rho(x) = \frac{1}{x} \). Therefore, the eigenfunctions satisfy the orthogonality condition\[ \int_{1}^{5} y_n(x) y_m(x) \frac{dx}{x} = 0 \]This orthogonality is extremely useful in decomposing a function into a series of eigenfunctions, similar to how Fourier series work, thereby allowing complex problems to be approached more simply.
Sturm-Liouville Theory
Sturm-Liouville theory plays a pivotal role in solving linear second-order differential equations with boundary conditions. This theory establishes that such equations can be expressed in a form involving an operator that is self-adjoint.The general Sturm-Liouville problem has the form\[ (p(x) y')' + (q(x) + \lambda w(x)) y = 0 \]An important aspect of this theory is that it guarantees the existence of a set of orthogonal eigenfunctions corresponding to distinct eigenvalues, much like the conditions already discussed.In our given problem, the boundary conditions \( y(1) = 0 \) and \( y(5) = 0 \), along with the weight function \( w(x) = \frac{1}{x} \), align perfectly with the Sturm-Liouville framework. This ensures that the solutions (eigenfunctions) of the differential equation are orthogonal and form a complete basis for function spaces, greatly simplifying the analysis of physical systems described by these equations.