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If the characteristic polynomial of \(f^{\prime \prime}+a f^{\prime}+b f=0\) has real roots, show that \(f=0\) is the only solution satisfying \(f(0)=0=f(1)\).

Short Answer

Expert verified
The only solution satisfying the conditions is \(f(x) = 0\).

Step by step solution

01

Determine the Characteristic Equation

Given the differential equation \(f'' + a f' + b f = 0\), the characteristic polynomial is obtained by replacing \(f\) with \(e^{\lambda x}\). This gives the equation \(\lambda^2 + a \lambda + b = 0\).
02

Analyze the Conditions for Real Roots

The roots of the characteristic equation \(\lambda^2 + a \lambda + b = 0\) are real if its discriminant \(a^2 - 4b\) is greater than or equal to zero. This means that \((\lambda_1, \lambda_2)\) are real numbers.
03

Consider the Form of the General Solution

When the roots are real and distinct, i.e., \(\lambda_1 eq \lambda_2\), the general solution of the differential equation is \(f(x) = C_1 e^{\lambda_1 x} + C_2 e^{\lambda_2 x}\). If the roots are real and equal, \(\lambda_1 = \lambda_2 = \lambda\), the solution is \(f(x) = (C_1 + C_2 x) e^{\lambda x}\).
04

Apply Initial Conditions

To meet the conditions \(f(0) = 0\) and \(f(1) = 0\), substitute into the general solution form. For distinct roots, \(f(0) = C_1 + C_2 = 0\) and \(f(1) = C_1 e^{\lambda_1} + C_2 e^{\lambda_2} = 0\). Equivalently for repeated roots, \(C_1 = 0\) or both equations become zero.
05

Show Zero Solution with Real Distinct Roots

With distinct roots, from \(C_1 + C_2 = 0\) and \(C_1 e^{\lambda_1} + C_2 e^{\lambda_2} = 0\), you express \(C_2 = -C_1\) and substitute to get \(C_1 (e^{\lambda_1} - e^{\lambda_2}) = 0\). If \(e^{\lambda_1} eq e^{\lambda_2}\), then \(C_1 = 0\). Thus \(C_1 = C_2 = 0\) and \(f(x) = 0\).
06

Show Zero Solution with Repeated Roots

For repeated roots, the conditions \(f(x) = (C_1 + C_2 x)e^{\lambda x}\) yield \(f(0) = C_1 = 0\) and \(f(1) = C_2 e^{\lambda} = 0\). Since \(e^{\lambda} eq 0\), \(C_2 = 0\) must hold. This gives \(f(x) = 0\).

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Key Concepts

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

Characteristic Polynomial
The characteristic polynomial is a central concept when working with linear differential equations like \( f'' + a f' + b f = 0 \). Essentially, it helps us understand the behavior of the solutions to the differential equation by transforming it into an algebraic problem. The process involves replacing the function \( f \) with an exponential function \( e^{\lambda x} \). This substitution leads to the characteristic polynomial, which in this case is \( \lambda^2 + a \lambda + b = 0 \).

Why is the polynomial important? It tells us about the type of solutions we can expect. These solutions are related to the roots of the polynomial:
  • Distinct Real Roots: The general solution will be a combination of exponential functions of these roots.
  • Repeated Roots: The solution will be slightly different, incorporating the variable \( x \) itself multiplied by an exponential.
By analyzing the characteristic polynomial, we can decide on the correct form of the general solution, making it a powerful tool in solving differential equations.
Real Roots
Real roots of a characteristic polynomial are significant because they determine the real-valued behavior of solutions to a differential equation. To determine if the roots are real, we use the discriminant of the quadratic equation \( \lambda^2 + a \lambda + b = 0 \). The discriminant is given by \( a^2 - 4b \).

If \( a^2 - 4b \geq 0 \), the roots \( \lambda_1 \) and \( \lambda_2 \) are real. Let's see what this implies:

  • Distinct Real Roots: If the roots are not equal, the solution comprises two distinct exponential terms: \( f(x) = C_1 e^{\lambda_1 x} + C_2 e^{\lambda_2 x} \).
  • Repeated Real Roots: If the roots are the same, \( \lambda_1 = \lambda_2 = \lambda \), the solution takes the form \( f(x) = (C_1 + C_2 x) e^{\lambda x} \).
When dealing with boundary conditions, knowing the type of roots greatly assists in finding the unique solution to the problem at hand.
Initial Conditions
Initial conditions play a crucial role in determining the specific solution to a differential equation from the set of possible general solutions.

In our example, we are given the conditions \( f(0) = 0 \) and \( f(1) = 0 \). These translate into specific equations for the constants \( C_1 \) and \( C_2 \) in the general solutions. Here's a step-by-step guide on how these conditions narrow down the exact solution:
  • For Distinct Real Roots: Substituting \( f(0) = C_1 + C_2 = 0 \), we find \( C_2 = -C_1 \). Applying \( f(1) = C_1 e^{\lambda_1} + C_2 e^{\lambda_2} = 0 \), and using the relation \( C_2 = -C_1 \), we determine that \( C_1 \) must be zero unless \( e^{\lambda_1} = e^{\lambda_2} \), which is generally not true. Thus \( C_1 = C_2 = 0 \), making \( f(x) = 0 \).
  • For Repeated Real Roots: Given \( f(x) = (C_1 + C_2 x) e^{\lambda x} \), applying \( f(0) = C_1 = 0 \) and \( f(1) = C_2 e^{\lambda} = 0 \) leads to \( C_2 = 0 \), since \( e^{\lambda} eq 0 \). Therefore, \( f(x) = 0 \).
Using initial conditions, we find not just any solution, but the specific one that satisfies these given constraints, which in this challenge demonstrates the zero solution \( f(x) = 0 \).

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Most popular questions from this chapter

a. Show that \(\mathbb{R}^{3}\) is spanned by \\{(1,0,1),(1,1,0),(0,1,1)\\} b. Show that \(\mathbf{P}_{2}\) is spanned by \(\left\\{1+2 x^{2}, 3 x, 1+x\right\\}\). c. Show that \(\mathbf{M}_{22}\) is spanned by \(\left\\{\left[\begin{array}{ll}1 & 0 \\ 0 & 0\end{array}\right],\left[\begin{array}{ll}1 & 0 \\ 0 & 1\end{array}\right],\left[\begin{array}{ll}0 & 1 \\ 1 & 0\end{array}\right],\left[\begin{array}{ll}1 & 1 \\ 0 & 1\end{array}\right]\right\\}\)

a. Let \(p(x)\) and \(q(x)\) lie in \(\mathbf{P}_{1}\) and suppose that \(p(1) \neq 0, q(2) \neq 0,\) and \(p(2)=0=q(1) .\) Show that \(\\{p(x), q(x)\\}\) is a basis of \(\mathbf{P}_{1}\). [Hint: If \(r p(x)+s q(x)=0,\) evaluate at \(x=1, x=2 .]\) b. Let \(B=\left\\{p_{0}(x), p_{1}(x), \ldots, p_{n}(x)\right\\}\) be a set of polynomials in \(\mathbf{P}_{n}\). Assume that there exist numbers \(a_{0}, a_{1}, \ldots, a_{n}\) such that \(p_{i}\left(a_{i}\right) \neq 0\) for each \(i\) but \(p_{i}\left(a_{j}\right)=0\) if \(i\) is different from \(j .\) Show that \(B\) is a basis of \(\mathbf{P}_{n}\).

Let \(a\) and \(b\) denote distinct numbers. a. Show that \(\\{(x-a),(x-b)\\}\) is a basis of \(\mathbf{P}_{1}\). b. Show that \(\left\\{(x-a)^{2},(x-a)(x-b),(x-b)^{2}\right\\}\) is a basis of \(\mathbf{P}_{2}\). c. Show that \(\left\\{(x-a)^{n},(x-a)^{n-1}(x-b)\right.\), \(\left.\ldots,(x-a)(x-b)^{n-1},(x-b)^{n}\right\\}\) is a basis of \(\mathbf{P}_{n}\)

Let \(D, I,\) and \(X\) denote finite, nonempty sets of vectors in a vector space \(V\). Assume that \(D\) is dependent and \(I\) is independent. In each case answer yes or no, and defend your answer. a. If \(X \supseteq D,\) must \(X\) be dependent? b. If \(X \subseteq D,\) must \(X\) be dependent? c. If \(X \supseteq I,\) must \(X\) be independent? d. If \(X \subseteq I,\) must \(X\) be independent?

Describe span \(\\{\mathbf{0}\\}\).

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