Math Problem Statement

A square matrix A is said to be idempotent when A^2 = A. What can we say about the values of the determinant of an idempotent matrix A?

Solution

The question in your image asks about the determinant of an idempotent matrix AA, where A2=AA^2 = A. It provides several options to choose from:

  1. Not enough information is given.
  2. det(A)\det(A) can be either 1 or 0.
  3. det(A)\det(A) is always positive.
  4. det(A)\det(A) is always 1.
  5. det(A)\det(A) is always 0.

Explanation:

An idempotent matrix AA satisfies the condition A2=AA^2 = A. This implies that the eigenvalues λ\lambda of the matrix must satisfy λ2=λ\lambda^2 = \lambda, meaning the eigenvalues can only be 0 or 1.

Now, let's analyze the determinant:

  • The determinant of a matrix is the product of its eigenvalues.
  • Since the eigenvalues of an idempotent matrix can only be 0 or 1, the determinant of AA can only be:
    • 00 if any of the eigenvalues is 0 (which would occur if AA is not invertible).
    • 11 if all eigenvalues are 1 (in the special case where AA is invertible).

Conclusion:

The correct answer to this question is: det(A)\det(A) can be either 1 or 0 (second option).

Would you like more details on eigenvalues and how they relate to determinants? Here are some related questions to deepen your understanding:

  1. What are the properties of idempotent matrices?
  2. How do eigenvalues determine the invertibility of a matrix?
  3. Can an idempotent matrix be diagonalized?
  4. How does the rank of an idempotent matrix relate to its eigenvalues?
  5. What is the significance of the determinant being 0 or 1 for idempotent matrices?

Tip: Remember that eigenvalues offer a lot of insight into a matrix's properties, including its determinant and invertibility.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Eigenvalues
Idempotent Matrix

Formulas

A^2 = A
Determinant of a matrix: det(A) = product of eigenvalues

Theorems

Eigenvalue property: λ^2 = λ for idempotent matrices
Determinant is product of eigenvalues

Suitable Grade Level

College level