Chapter 9: Problem 14
In each exercise, solve the initial-boundary value problem
$$
\begin{array}{lcc}
u_{t}=\kappa u_{\text {I? }}, & 0
Short Answer
Expert verified
Question: Find the solution for the given initial-boundary value problem (IBVP) with nonhomogeneous boundary conditions for a heat equation \(u_t = \kappa u_{xx}\) with \(\kappa = 0.5\), boundary conditions \(u(0,t)=T_0=0\) and \(u(l,t)=T_1=100\), initial condition \(u(x,0)=25x+80\sin(\pi x)\cos(\pi x)\), and length \(l=4\).
Answer: The solution for the given IBVP is \(u(x,t)=40\sin(\frac{\pi}{2}x)e^{-\frac{\pi^2}{4}t}+25x\).
Step by step solution
01
Nonhomogeneous to homogeneous boundary conditions
Using the ideas from the equations (17)-(20), we introduce a new function \(v(x,t)\) such that \(u(x,t)=v(x,t)+G(x)\), where \(G(x) = \frac{T_1 - T_0}{l}x\). We need to find the function \(v(x,t)\) that satisfies the homogeneous boundary conditions \(v(0,t)=0\) and \(v(l,t)=0\), and the new initial condition \(v(x,0)=g(x)=f(x)-G(x) = 25x+80\sin(\pi x)\cos(\pi x)-25x=80\sin(\pi x)\cos(\pi x)\).
02
Separation of Variables
Assume a solution of the form \(v(x,t)=X(x)T(t)\). Plug this into the heat equation for \(v(x,t)\):
$$\frac{dX(x)}{dx}\left(\frac{dT(t)}{dt}\right)=\frac{\kappa X''(x)T(t)}{X(x)T(t)}.$$
Divide both sides by \(XT\) to obtain:
$$\frac{1}{\kappa}\frac{dT}{dt} = \frac{X''}{X} = \text{constant}$$
Let this constant be \(-\omega^2\).
03
Solve the ODEs for X and T
We now have two ordinary differential equations (ODEs) to solve:
1. For \(X(x)\): \(X''(x) + \omega^2 X(x) = 0\), with boundary conditions \(X(0)=0\) and \(X(l)=0\).
2. For \(T(t)\): \(T'(t) = -\kappa \omega^2 T(t)\).
For the first ODE, we have a standard eigenvalue problem with solutions in the form of a linear combination of sines and cosines: \(X(x) = A\cos(\omega x) + B\sin(\omega x)\). With the boundary conditions, we get \(X(0)=A=0\) and \(X(l)=B\sin(\omega l)=0\). Since \(B \neq 0\), this implies \(\omega l = n\pi\) for \(n=1,2,3,...\). So, \(\omega_n = \frac{n \pi}{l}\) and \(X_n(x) = B_n\sin(\omega_n x)\).
For the second ODE, we have a first-order linear ODE, which has an exponential solution: \(T_n(t) = C_n e^{-\kappa \omega_n^2 t}\), where \(C_n\) is a constant.
Hence, the total solution is a summation over all possible \(n\):
$$v(x,t)=\sum_{n=1}^{\infty}c_n\sin(\frac{n\pi}{l}x)e^{-\kappa\left(\frac{n\pi}{l}\right)^{2}t}$$
04
Find the Fourier coefficients
Using the initial condition \(v(x,0)=80\sin(\pi x)\cos(\pi x)\), we determine the coefficients \(c_n\) using orthogonality:
$$c_n = \frac{2}{l}\int_0^l{80\sin(\pi x)\cos(\pi x)\sin(\frac{n\pi}{l}x)~dx}$$
Note that only \(n=2\) contributes to the sum, so \(c_2=\frac{160}{\pi}\) and \(c_n=0\) for \(n\neq2\). The solution for \(v(x,t)\) is thus:
$$v(x,t)=\frac{160}{\pi}\sin(\frac{2\pi}{l}x)e^{-\kappa\left(\frac{2\pi}{l}\right)^{2}t}$$
05
Find the solution for u(x,t)
Now we return to the function \(u(x,t)\) using the transformation from Step 1:
$$u(x,t)=v(x,t)+G(x)=\frac{160}{\pi}\sin(\frac{2\pi}{l}x)e^{-\kappa\left(\frac{2\pi}{l}\right)^{2}t}+\frac{T_1-T_0}{l}x$$
Finally, substituting the given values for \(\kappa\), \(l\), \(T_0\), and \(T_1\):
$$u(x,t)=40\sin(\frac{\pi}{2}x)e^{-\frac{\pi^2}{4}t}+25x$$
This is the solution to the given initial-boundary value problem.
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 Vaia!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Heat Equation
The heat equation is a fundamental concept in partial differential equations that describes how heat diffuses through a given region over time. It is expressed as \( u_t = \kappa u_{xx} \), where \( u(x,t) \) represents the temperature at a point \( x \) and time \( t \), and \( \kappa \) is the thermal diffusivity constant. This equation helps understand the gradual change of temperature in a medium by modeling the flow of heat.
- Heat further moves from hot to cooler areas naturally until an equilibrium is reached.
- In our problem, the heat equation is used to examine the behavior of temperature in a rod of length \( l=4 \).
- Initial temperature distribution and boundary conditions work together to determine the evolution of temperature over time.
Initial-Boundary Value Problem
An initial-boundary value problem (IBVP) combines both the initial conditions and boundary conditions to solve differential equations. In our exercise, the boundary conditions were given as \( u(0, t) = T_0 \) and \( u(l, t) = T_1 \), with initial conditions defined by \( u(x, 0) = f(x) \). Here, the task is to find the temperature distribution \( u(x,t) \).
The solution to an IBVP involves satisfying the conditions simultaneously:
The solution to an IBVP involves satisfying the conditions simultaneously:
- Initial conditions are given to specify the state of a system at \( t=0 \).
- Boundary conditions tell us how the edges of the domain behave, with the temperatures at the ends of the rod being constant values \( T_0 \) and \( T_1 \).
Fourier Series
A Fourier series is a way to represent a function as a sum of sinusoidal components. In our solution, Fourier series helps to express the solution in a form that resonates with the heat distribution along the rod. We represent \( v(x, t) \) as a series of sines and cosines, which accommodates oscillatory behavior in infinite terms:\[ v(x,t) = \sum_{n=1}^{\infty} c_n \sin\left(\frac{n\pi}{l} x\right) e^{-\kappa \left( \frac{n\pi}{l} \right)^2 t} \]Here, the coefficients \( c_n \) are determined using the initial condition through orthogonality properties, ensuring only the relevant modes contribute to the solution.
- This approach simplifies complex boundary functions into manageable components.
- For periodic conditions or even arbitrary initial setups, Fourier series is versatile, enabling these transformations.
Separation of Variables
Separation of variables is a method used to solve partial differential equations by splitting them into simpler, separable ordinary differential equations (ODEs). In this approach, we hypothesize a solution for \( v(x,t) \) of the form \( v(x,t) = X(x)T(t) \). This assumption allows the heat equation to be divided into:
- \( X''(x) + \omega^2 X(x) = 0 \)
- \( T'(t) = -\kappa \omega^2 T(t) \)