Math Problem Statement

How many 2 × 2 matrices A with real entries are there satisfying A^2 = I_2?

Solution

The problem asks how many 2×22 \times 2 matrices AA with real entries satisfy A2=I2A^2 = I_2, where I2I_2 is the 2×22 \times 2 identity matrix. Here's the analysis:

Key Conditions:

A matrix AA satisfies A2=I2A^2 = I_2 if AA is:

  1. Idempotent with respect to the identity matrix: A2=I2A^2 = I_2 means AA must be its own inverse (A1=AA^{-1} = A).
  2. The eigenvalues of AA must satisfy the characteristic equation λ2=1\lambda^2 = 1, which gives λ=1\lambda = 1 or λ=1\lambda = -1.

Types of AA:

From these properties, AA can belong to these cases:

  1. The Identity Matrix I2I_2: Trivially satisfies A2=I2A^2 = I_2.
  2. The Negative Identity Matrix I2-I_2: Trivially satisfies A2=I2A^2 = I_2.
  3. Diagonalizable Matrices with Eigenvalues 11 and 1-1: These matrices have the form: P[1001]P1,P \begin{bmatrix} 1 & 0 \\ 0 & -1 \end{bmatrix} P^{-1}, where PP is any invertible matrix. This leads to infinitely many such matrices.

Conclusion:

The number of 2×22 \times 2 matrices AA with A2=I2A^2 = I_2 is infinitely many. The correct answer is: D. Infinitely many.

Would you like a detailed explanation of any step or example matrices? Here are some questions to explore further:

  1. What does it mean for a matrix to be diagonalizable?
  2. How can we find PP for diagonalizing a matrix?
  3. What are examples of matrices satisfying A2=I2A^2 = I_2?
  4. How does the determinant of AA relate to this problem?
  5. What happens when AA is not diagonalizable?

Tip: When working with matrices, always verify their eigenvalues and diagonalizability for conditions like A2=I2A^2 = I_2.

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Math Problem Analysis

Mathematical Concepts

Matrix Algebra
Eigenvalues and Eigenvectors
Diagonalization

Formulas

A^2 = I_2
Eigenvalue equation λ^2 = 1

Theorems

Diagonalization Theorem
Matrix Inverse Properties

Suitable Grade Level

Undergraduate Mathematics