Chapter 12: Problem 5
Solve the boundary-value problem
$$
\begin{aligned}
&k \frac{\partial^{2} u}{\partial x^{2}}+A e^{-\beta z}=\frac{\partial
u}{\partial t}, \quad \beta>0, \quad 0
Short Answer
Expert verified
The solution is expressed as a Fourier series: \( u(x, t) = \sum_{n=1}^{\infty} \left[ C_n e^{-(k(n\pi)^2)t} + \frac{Ae^{-\beta z}}{k(n\pi)^2} \right] \text{sin}(n\pi x) \).
Step by step solution
01
Analyze the given problem
The given problem is a partial differential equation (PDE) resembling the heat equation with a source term. The equation is \( k \frac{\partial^{2} u}{\partial x^{2}} + A e^{-\beta z} = \frac{\partial u}{\partial t} \). The domain is \( 0 < x < 1 \) and \( t > 0 \), with boundary conditions \( u(0, t) = 0 \), \( u(1, t) = 0 \), and initial condition \( u(x, 0) = f(x) \).
02
Apply Separation of Variables
Assume a solution of the form \( u(x, t) = X(x)T(t) \). Substituting it into the PDE gives: \( k X''(x) T(t) + A e^{-\beta z} = X(x) T'(t) \). Divide the equation by \( X(x)T(t) \), yielding \( \frac{T'(t)}{kT(t)} = \frac{X''(x)}{X(x)} - \frac{A e^{-\beta z}}{kT(t)} \).
03
Solve the Spatial Part
The spatial part \( \frac{X''(x)}{X(x)} = -\lambda \) leads to the equation \( X''(x) + \lambda X(x) = 0 \) with boundary conditions \( X(0) = 0 \) and \( X(1) = 0 \). A suitable solution is \( X_n(x) = \,\text{sin}(n\pi x) \) with \( \lambda = (n\pi)^2 \), \( n = 1, 2, 3, \ldots \).
04
Solve the Time Part
For the time part, \( \frac{T'(t)}{k} + \lambda T(t) = A e^{-\beta z} \). Solving this ordinary differential equation gives \( T_n(t) = C_n e^{-(k(n\pi)^2)t} + \frac{Ae^{-\beta z}}{k(n\pi)^2} \).
05
Construct General Solution
The general solution is \( u(x, t) = \sum_{n=1}^{\infty} \left[ C_n e^{-(k(n\pi)^2)t} + \frac{Ae^{-\beta z}}{k(n\pi)^2} \right] \text{sin}(n\pi x) \).
06
Apply Initial Condition
Apply the initial condition \( u(x, 0) = f(x) \) to find \( C_n \): \( f(x) = \sum_{n=1}^{\infty} \left[ C_n + \frac{Ae^{-\beta z}}{k(n\pi)^2} \right] \text{sin}(n\pi x) \). Use Fourier coefficients to solve: \( C_n = \int_0^1 f(x) \text{sin}(n\pi x) \; dx \) minus the contribution from the source term.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Boundary-value problems
Boundary-value problems are core aspects of solving partial differential equations (PDEs), where we determine a solution satisfying certain conditions on the boundaries of the domain. For the provided exercise, we're dealing with a PDE within the region
- The spatial domain is defined as \(0 < x < 1\)
- The boundary conditions specify that \(u(0, t) = 0\) and \(u(1, t) = 0\) for all times \(t > 0\).
- These boundary conditions ensure that the solution remains zero at both ends of the interval, resembling the scenario of a rod maintained at zero temperature at both ends.
Heat equation
The heat equation is a classical partial differential equation describing the distribution of heat (or temperature variations) in a given region over time. In our problem, the equation is slightly modified with a source term due to radioactive decay
- The equation: \(k\frac{\partial^{2} u}{\partial x^{2}} + A e^{-\beta z} = \frac{\partial u}{\partial t}\), helps us understand how heat in a thin rod evolves as time progresses.
- Here, \(k\) represents thermal conductivity, which affects how quickly heat spreads through the medium.
- The term \(A e^{-\beta z}\) signifies the heat generated by some source - in this instance, the radioactive decay impacting heat distribution.
Separation of variables
Separation of variables is a powerful technique to solve linear partial differential equations with boundary conditions. The objective is generally to express the solution as a product of functions, each dependent on a single coordinate
- For example, assume \(u(x, t) = X(x)T(t)\), separating spatial and temporal components.
- Substituting this form into the PDE transforms it, allowing us to split the PDE into two ODEs: one for space \(X(x)\) and another for time \(T(t)\).
- The spatial part: \(X''(x) + \lambda X(x) = 0\), with boundary conditions \(X(0) = 0\) and \(X(1) = 0\).
- The time-dependent equation: \(T'(t) + k\lambda T(t) = A e^{-\beta z}\).
Fourier series
Fourier series are key tools when solving boundary-value problems, chiefly for separating variables. They help express functions in terms of sinusoidal functions, making it easier to tackle the resulting equations
- They express a function \(f(x)\) as an infinite sum: \(f(x) = \sum_{n=1}^{\infty} a_n \sin(n\pi x)\).
- In our example, solutions for \(X(x)\) involve \(\sin(n\pi x)\), natural harmonics satisfying our boundary conditions.
- The coefficients \(C_n\) are determined using Fourier analysis, calculated by integrating against the sine basis.