All Exams Test series for 1 year @ ₹349 only
Question

A generic 3 × 3 real matrix A has eigenvalues 0, 1 and 6, and I is the 3 × 3 identity matrix. The quantity/quantities that cannot be determined from this information is/are the

The correct answer is

eigenvalues of (I + A TA)

The question asks which quantity or quantities cannot be determined for a generic 3 × 3 real matrix A with eigenvalues 0, 1, and 6, where I is the 3 × 3 identity matrix.

Let's analyze each option based on the given information:

Rank of A

The rank of a matrix is equal to the number of its non-zero eigenvalues. Given that the eigenvalues of matrix A are 0, 1, and 6, there are two non-zero eigenvalues (1 and 6). Therefore, the rank of A is 2.

This quantity can be determined.

Mathematically, Rank(A) = Number of non-zero eigenvalues = 2.

Determinant of ATA

The determinant of a matrix is the product of its eigenvalues. The eigenvalues of A are 0, 1, and 6.

Thus, the determinant of A is det(A) = $0 \times 1 \times 6 = 0$.

For any real matrix A, the determinant of ATA is equal to the square of the determinant of A. That is, det(ATA) = (det(A))$^{2}$.

Substituting the value of det(A), we get det(ATA) = $(0)^{2} = 0$.

This quantity can be determined.

Eigenvalues of (I + A)-1

If $\lambda$ is an eigenvalue of matrix A, then $(1 + \lambda)$ is an eigenvalue of the matrix (I + A).

If (I + A) is invertible (which it is, since none of its eigenvalues (1+0=1, 1+1=2, 1+6=7) are zero), then the eigenvalues of $(I + A)^{-1}$ are $\frac{1}{(1 + \lambda)}$, where $\lambda$ are the eigenvalues of A.

The eigenvalues of A are 0, 1, and 6.

The eigenvalues of (I + A) are $(1+0)$, $(1+1)$, and $(1+6)$, which are 1, 2, and 7.

The eigenvalues of $(I + A)^{-1}$ are $\frac{1}{1}$, $\frac{1}{2}$, and $\frac{1}{7}$.

These are 1, 0.5, and approximately 0.143.

These quantities can be determined.

Eigenvalues of (I + ATA)

If $\mu$ is an eigenvalue of matrix ATA, then $(1 + \mu)$ is an eigenvalue of the matrix (I + ATA).

To determine the eigenvalues of (I + ATA), we need to know the eigenvalues of ATA.

For a generic real matrix A, the eigenvalues of ATA are the squares of the singular values of A. While the determinant of ATA is the product of its eigenvalues and is equal to $(\det(A))^2$, knowing the eigenvalues of A does not uniquely determine the singular values of A unless A has specific properties (like being normal or symmetric).

Since A is described as a "generic" real matrix, it is not necessarily symmetric or normal. Therefore, we cannot determine the singular values of A from its eigenvalues alone. Consequently, we cannot determine the eigenvalues of ATA.

Since we cannot determine the eigenvalues of ATA, we cannot determine the eigenvalues of (I + ATA).

This quantity cannot be determined from the given information.

Summary

Based on the analysis:

  • Rank of A: Can be determined (it's 2).
  • Determinant of ATA: Can be determined (it's 0).
  • Eigenvalues of (I + A)-1: Can be determined (they are 1, 0.5, 1/7).
  • Eigenvalues of (I + ATA): Cannot be determined.

Therefore, the quantity that cannot be determined is the eigenvalues of (I + ATA).

Was this answer helpful?

Important Questions from Matrices

  1. If \(A = \(\left[ {\begin{array}{} {coshx}&{sinhx}\\ { - sinhx}&{coshx} \end{array}} \right])\) , then trace (A 2) is equal to

  2. Which of the given statements is true?

  3. A tansformation T: 2 → 2 first reflects points through the vertical axis (x2 - axis ) and then reflects points through the line x2 = x1. Then the standard matrix of T is:

  4. The matrix representation of T on R2 defined by T(x, y) = (2y, 3x - y) relative to the basis {(1, 3), (2, 5)} is

  5. Let A and B be two non zero square matrics and AB and BA both are defined. It means

Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App