69.3k views
4 votes
For each of the following linear operators T on a vector space V, test T for diagonalizability, and if T is diagonalizable, find a basis β for V such that [T]β is a diagonal matrix.

V = P₃(R) and T is defined by T(f(x)) = f'(x) + f"(x), respectively.

User Amin Y
by
7.8k points

1 Answer

3 votes

Final answer:

The operator T defined on P₃(R) by T(f(x)) = f'(x) + f"(x) cannot be diagonalizable because the derivative operation reduces the degree of a polynomial, and there cannot exist an eigenvector for λ = 0.

Step-by-step explanation:

To determine if a linear operator is diagonalizable, we look at the characteristic polynomial and find its roots to determine the eigenvalues. If there are enough linearly independent eigenvectors to form a basis for the vector space, then the operator is diagonalizable. Considering the vector space V = P₃(R) and the linear operator T defined by T(f(x)) = f'(x) + f"(x), we first need to find the eigenvalues and eigenvectors for T.

Let's take a general polynomial in P₃(R): f(x) = ax^3 + bx^2 + cx + d. Applying T, we have T(f(x)) = 3ax^2 + 2bx + c + 2ax + 2b = 3ax^2 + (2a + 2b)x + (2b + c). For T(f(x)) to equal λf(x), the coefficients of x^2, x, and the constant term on both sides of the equation must be equal. Thus, we get the system of equations:

  • 3a = λa
  • 2a + 2b = λb
  • 2b + c = λc

Solving this system tells us the eigenvalues and associated eigenvectors. For T to be diagonalizable, we need three linearly independent eigenvectors. However, we notice that the derivative operation inherently reduces the degree of a polynomial, implying that there cannot exist an eigenvector for λ = 0 as the zero polynomial is not in the domain of T. Hence, T cannot have three linearly independent eigenvectors and is not diagonalizable.

User Nachi
by
8.1k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.