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Question

Let p and q be real numbers such that p2 + q2 = 1. The eigenvalues of the matrix \(\begin{bmatrix} p & q \\\ q & -p \end{bmatrix}\) are

The correct answer is

1 and -1

Finding Eigenvalues for a Matrix with p2 + q2 = 1

The question asks us to find the eigenvalues of a specific 2x2 matrix where the elements are related by the condition $p^2 + q^2 = 1$. Eigenvalues are special scalar values associated with a linear transformation (represented by a matrix).

Understanding Eigenvalues

For a square matrix $A$, an eigenvalue $\lambda$ is a scalar such that there exists a non-zero vector $v$ (called an eigenvector) satisfying the equation $Av = \lambda v$. This can be rewritten as $(A - \lambda I)v = 0$, where $I$ is the identity matrix. For a non-trivial solution (i.e., $v \neq 0$), the matrix $(A - \lambda I)$ must be singular, meaning its determinant is zero: $det(A - \lambda I) = 0$. This equation is known as the characteristic equation.

Applying the Characteristic Equation

Let the given matrix be $A = \begin{bmatrix} p & q \\ q & -p \end{bmatrix}$. We need to find the values of $\lambda$ that satisfy $det(A - \lambda I) = 0$. The identity matrix $I$ is $\begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$. So, $A - \lambda I = \begin{bmatrix} p & q \\ q & -p \end{bmatrix} - \lambda \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} p - \lambda & q \\ q & -p - \lambda \end{bmatrix}$.

Calculating the Determinant

Now, we calculate the determinant of $(A - \lambda I)$: $det \left( \begin{bmatrix} p - \lambda & q \\ q & -p - \lambda \end{bmatrix} \right) = (p - \lambda)(-p - \lambda) - (q)(q)$ Expanding this expression: $= -(p - \lambda)(p + \lambda) - q^2$ Using the difference of squares formula $(a-b)(a+b) = a^2 - b^2$: $= -(p^2 - \lambda^2) - q^2$ $= -p^2 + \lambda^2 - q^2$ Rearranging the terms: $= \lambda^2 - (p^2 + q^2)$

Solving for Eigenvalues

The characteristic equation is therefore: $\lambda^2 - (p^2 + q^2) = 0$ We are given the condition that $p$ and $q$ are real numbers such that $p^2 + q^2 = 1$. Substituting this condition into the characteristic equation: $\lambda^2 - 1 = 0$ Solving for $\lambda$: $\lambda^2 = 1$ $\lambda = \pm \sqrt{1}$ $\lambda = 1$ or $\lambda = -1$ Thus, the eigenvalues of the matrix are 1 and -1.

Conclusion

The eigenvalues are determined by solving the characteristic equation derived from the matrix. Given the specific condition $p^2 + q^2 = 1$, the eigenvalues simplify to 1 and -1.

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Important Questions from Matrix Algebra

  1. If A = \( \left[\begin{array}{cc}0 & 1 \\ −1 & 0\end{array}\right]\)  and (aI 2  + bA)2  = A, then
  2. If A = \(\left[\begin{array}{cc}2 & −3 \\3 & 5\end{array}\right]\), then which of the following statements are correct?

    A. A is a square matrix

    B. A−1 exists

    C. A is a symmetric matrix

    D. |A| = 19

    E. A is a null matrix

    Choose the correct answer from the options given below.

  3. If A is Square Matrix of order 3, then product of A and its transpose is

  4. What is the transformation matrix M that transforms a square in the xy-plane defined by (1, 1) T, (-1, 1) T, (-1, -1) T and (1, -1) T to a parallelogram whose corresponding vertices are (2, 1) T, (0, 1) T, (-2, -1) T and (0, -1) T?

  5. Let \(A = \left[ {\begin{array}{*{20}{c}} 1&1&0\\ 0&1&0\\ 1&1&0\\ 0&0&1 \end{array}} \right]\) and  \(B = \left[ {\begin{array}{*{20}{c}} 1&0&0&0\\ 0&1&1&0\\ 1&0&1&1\\ \end{array}} \right]\) Find the boolean product A ⊙ B of the two matrices.

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