Consider the matrix , where is a positive real number. Which of the following vectors is/are eigenvector(s) of this matrix?
- (A)
- (B)
- (C)
- (D)
Consider the matrix , where is a positive real number. Which of the following vectors is/are eigenvector(s) of this matrix?
ANSWER
(A) and (B). They are the eigenvectors for and respectively.
Official answer: A, BSource: Official answer key, GATE 2024 EC (IISc Bengaluru)
Call the matrix (so it is not confused with option (A)). Characteristic equation: , so , i.e. . Because these are real and distinct. (Check: their sum is , the trace.)
Eigenvector condition. Take the first row of :
For : . With the eigenvector is , which is option (B).
For : . With the eigenvector is , which is option (A).
Direct check of (A): and . So the result is , confirming (A) belongs to .
Options (C) and (D) have , but every eigenvector of has . Squaring, equality would need , i.e. , which is false for every . So neither (C) nor (D) is an eigenvector. For instance, , which is not a multiple of .
Correct options: (A) and (B), one eigenvector for each of the two distinct eigenvalues.
KEY IDEA
For a 2×2 matrix, one row of fixes the ratio of the eigenvector. Here . A 2×2 matrix with two distinct eigenvalues has exactly two eigenvector directions. The four options point in four different directions, so at most two of them can be correct. Match each option by its ratio .
WATCH OUT FOR
Stopping at without dividing by , or writing the eigenvector as . Both lead to the look-alike options (C)/(D), which have ratio . Note that , not . A second trap is choosing only (B) because it is the one with the positive sign. Scaling an eigenvector by keeps it an eigenvector, but (A) is not just times (B). It belongs to the other eigenvalue, and it is also correct.
From the GATE 2024 EC paper. Every question of this paper · Download the full paper · All 46 Linear algebra questions, with notes