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Consider $$ x^{\prime \prime}(t)+4 x(t)=f(t) $$ where \(f(t)=1\) on \(0

Short Answer

Expert verified
The Dirichlet solution is composed based on the boundary values derived from the homogeneous and particular solution constants. The Neumann solution is similarly constructed with these derivatives set to zero.

Step by step solution

01

Setup the Homogeneous Equation

The given differential equation is \(x''(t) + 4x(t) = f(t)\), where \(f(t) = 1\) for \(0 < t < 1\). First, solve the associated homogeneous equation: \(x''(t) + 4x(t) = 0\). Identifying this as a second-order linear differential equation, we will find the general solution.
02

Solve the Characteristic Equation

For the homogeneous equation \(x'' + 4x = 0\), the characteristic equation is \(r^2 + 4 = 0\), which simplifies to \(r = \pm 2i\). The roots are complex, indicating oscillatory solutions.
03

Write the General Solution of the Homogeneous Equation

Given that the roots are \(r = \pm 2i\), the general solution to the homogeneous equation is \(x_h(t) = C_1 \cos(2t) + C_2 \sin(2t)\).
04

Find a Particular Solution for the Non-homogeneous Equation

Using the method of undetermined coefficients or variation of parameters, find a particular solution \(x_p(t)\) such that \(x''(t)+4x(t)=1\) on \(0<t<1\). Here the particular solution can be assumed to be a constant since \(f(t)=1\). Therefore, guess \(x_p(t) = A\). Substitute into the equation to solve for \(A\), i.e., \(0 + 4A = 1\). Thus, \(A = \frac{1}{4}\).
05

Apply Dirichlet Boundary Conditions, Part (a)

For Dirichlet conditions \(x(0)=0\) and \(x(1)=0\), we apply these to the general solution \(x(t) = x_h(t) + x_p(t) = C_1 \cos(2t) + C_2 \sin(2t) + \frac{1}{4}\). Substituting \(x(0) = 0\) gives \(C_1 + \frac{1}{4} = 0\), which means \(C_1 = -\frac{1}{4}\). Substituting \(x(1) = 0\) and solving for \(C_2\), we get: \(-\frac{1}{4} \cos(2) + C_2 \sin(2) + \frac{1}{4} = 0\). Solve for \(C_2\).
06

Construct and Verify Dirichlet Solution

Insert the calculated \(C_1\) and \(C_2\) values back into \(x(t) = C_1 \cos(2t) + C_2 \sin(2t) + \frac{1}{4}\) to reconstruct the solution and ensure it meets the boundary conditions. Verify through calculations.
07

Apply Neumann Boundary Conditions, Part (b)

For Neumann conditions \(x'(0)=0\) and \(x'(1)=0\), differentiate the solution with respect to \(t\): \(x'(t) = -2C_1 \sin(2t) + 2C_2 \cos(2t)\). Applying \(x'(0) = 0\), we find \(x'(0) = 2C_2 = 0\), thus \(C_2 = 0\). Applying \(x'(1) = 0\), use \(-2 \cdot 0 \cdot \sin(2) + 2C_2 \cos(2) = 0\), solve for consistency or additional conditions.
08

Construct and Verify Neumann Solution

After solving for constants, construct the final solution for the Neumann boundary conditions \(x(t) = C_1 \cos(2t) + \frac{1}{4}\) using \(C_2 = 0\). Verify that it satisfies \(x'(0) = 0\) and \(x'(1) = 0\).

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Key Concepts

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

Second-Order Differential Equation
A second-order differential equation involves derivatives of a function up to the second degree. This type of equation is fundamental in mathematical modeling of physical systems, such as oscillating springs or electrical circuits. The general form is represented as \[ x''(t) + p(t)x'(t) + q(t)x(t) = g(t) \]where:
  • \(x''(t)\) is the second derivative of \(x(t)\),
  • \(p(t)\) and \(q(t)\) are functions of \(t\),
  • \(g(t)\) is a source or forcing function.

The equation given in the exercise is \[ x''(t) + 4x(t) = f(t) \]This is a linear differential equation because the dependent variable \(x(t)\) and its derivatives appear linearly. Handling such equations generally requires solving both the homogeneous part and finding particular solutions to address specific initial or boundary values.
Boundary Value Problem
Boundary Value Problems, or BVPs, are differential equations accompanied by a set of constraints or conditions at the boundaries of the domain. Unlike initial value problems, BVPs require solutions satisfying conditions at more than one point, often at the endpoints of an interval.

In the context of the exercise, there are two types of boundary conditions:
  • **Dirichlet conditions**: Specify the value of the solution at specific boundary points. For instance, \(x(0) = 0\) and \(x(1) = 0\) constrain the values of \(x(t)\) at \(t = 0\) and \(t = 1\), respectively.
  • **Neumann conditions**: Specify the value of the derivative of the solution at the boundaries. Conditions like \(x'(0) = 0\) and \(x'(1) = 0\) control the slope of \(x(t)\) at the endpoints.

Solving BVPs often involves techniques like numerical methods or analytical approaches like the method of undetermined coefficients to achieve solutions meeting these boundary requirements.
Homogeneous and Non-Homogeneous Equations
In the realm of differential equations, it is crucial to distinguish between homogeneous and non-homogeneous types because their solution methods differ considerably.
  • **Homogeneous Equation**: This occurs when the function \(g(t)\) is zero, i.e., \[ x''(t) + 4x(t) = 0 \]and solutions typically involve finding the roots of a characteristic equation derived from the coefficients of the differential equation. Homogeneous solutions often portray the natural behavior of a system without external forcing.
  • **Non-Homogeneous Equation**: When a term \(f(t)\) is present, \[ x''(t) + 4x(t) = f(t) \]the equation becomes non-homogeneous. Such problems require finding a particular solution, often representing the system's reactive behavior to external influences.

In practice, solving non-homogeneous equations involves determining both a particular solution and incorporating the homogeneous solution to form the general solution.
Undetermined Coefficients Method
The method of undetermined coefficients is a powerful technique for finding particular solutions to linear non-homogeneous differential equations, especially when the non-homogeneous term \(f(t)\) is a simple function like a polynomial, exponential, sine, or cosine.

Conceptually, this method involves:
  • Guessing a form for the particular solution based on the nature of \(f(t)\).
  • Substituting this guess into the differential equation.
  • Solving the resulting system to find the coefficients.

In this exercise, since \(f(t) = 1\), a constant is guessed for the particular solution. Substitution gives:\[ 4A = 1 \]Thus, the particular solution is \[ x_p(t) = \frac{1}{4} \].After determining this, combine it with the general homogeneous solution to address the boundary value problem fully.

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Most popular questions from this chapter

Find the Fourier series of the even periodic extension of the function \(f(t)=\sin t\) for \(0 \leq t \leq \pi\)

Find a series solution of $$ \begin{array}{l} u_{t}=u_{x x}, \\ u(0, t)=0, \quad u(1, t)=100 \\ u(x, 0)=\sin (\pi x) \quad \text { for } 0

The d'Alembert solution still works if there are no boundary conditions and the initial condition is defined on the whole real line. Suppose that \(y_{t t}=y_{x x}\) (for all \(x\) on the real line and \(t \geq 0), y(x, 0)=f(x),\) and \(y_{t}(x, 0)=0,\) where $$ f(x)=\left\\{\begin{array}{ll} 0 & \text { if } \quad x<-1, \\ x+1 & \text { if }-1 \leq x< 0, \\ -x+1 & \text { if } \quad 0 \leq x< 1 ,\\\ 0 & \text { if } 1 < x. \end{array}\right. $$ Solve using the d'Alembert solution. That is, write down a piecewise definition for the solution. Then sketch the solution for \(t=0, t=1 / 2, t=1,\) and \(t=2\).

Take two functions \(f(t)\) and \(g(t)\) and define their product \(h(t)=f(t) g(t)\) a) Suppose both \(f(t)\) and \(g(t)\) are odd. Is \(h(t)\) odd or even? b) Suppose one is even and one is odd. Is \(h(t)\) odd or even? c) Suppose both are even. Is \(h(t)\) odd or even? If \(f(t)\) and \(g(t)\) are both odd, then \(f(t)+g(t)\) is odd. Similarly for even functions. On the other hand, if \(f(t)\) is odd and \(g(t)\) even, then we cannot say anything about the sum \(f(t)+g(t) .\) In fact, the Fourier series of any function is a sum of an odd (the sine terms) and an even (the cosine terms) function. In this section we consider odd and even periodic functions. We have previously defined the \(2 L\) -periodic extension of a function defined on the interval \([-L, L]\). Sometimes we are only interested in the function on the range \([0, L]\) and it would be convenient to have an odd (resp. even) function. If the function is odd (resp. even), all the cosine (resp. sine) terms disappear. What we will do is take the odd (resp. even) extension of the function to \([-L, L]\) and then extend periodically to a \(2 L\) -periodic function. Take a function \(f(t)\) defined on \([0, L]\). On \((-L, L]\) define the functions $$ \begin{array}{l} F_{\mathrm{odd}}(t) \stackrel{\operatorname{def}}{=}\left\\{\begin{array}{ll} f(t) & \text { if } \quad 0 \leq t \leq L, \\ -f(-t) & \text { if }-L

Using series solve \(\Delta u=0, u(1, \theta)=|\theta|,\) for \(-\pi<\theta \leq \pi .\)

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