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Engineering Mathematics
Linear Algebra
Eigen Values and Eigen Vectors

Questions mapped to Eigen Values and Eigen Vectors under Linear Algebra.

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Q#1 Linear Algebra GATE EE 2026 (Set 1) MSQ +1 mark -0 marks

Two  matrices  and  have a common eigenvalue 2, and the same corresponding nonzero eigenvector.

Which of the following options is/are correct?

(Note:  is the  identity matrix.)

Determinant

Determinant

Determinant

Determinant

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Q#2 Linear Algebra GATE EE 2025 (Set 1) MCQ +1 mark -0.33 marks

Let  and  be the two eigenvectors corresponding to distinct eigenvalues of a  real symmetric matrix. Which one of the following statements is true?

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Q#3 Linear Algebra GATE EE 2024 (Set 1) NAT +1 mark -0 marks

The sum of the eigenvalues of the matrix  is ________ (rounded off to the nearest integer).

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Q#4 Linear Algebra GATE EE 2022 (Set 1) MCQ +2 marks -0.66 marks

 denotes the exponential of a square matrix . Suppose  is an eigen value and  is the corresponding eigen-vector of matrix .

Consider the following two statements:

Statement 1:  is an eigen value of .

Statement 2:  is an eigen-vector of .

Which one of the following options is correct?

Statement 1 is true and statement 2 is false.

Statement 1 is false and statement 2 is true.

Both the statements are correct.

Both the statements are false.

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Q#5 Linear Algebra GATE EE 2021 (Set 1) MCQ +1 mark -0.33 marks

Let  and  be real numbers such that .

The eigenvalues of the matrix  are

pq and –pq

1 and 1

 and

1 and -1

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Q#6 Linear Algebra GATE EE 2019 (Set 1) MCQ +1 mark -0.33 marks

M is a 2 × 2 matrix with eigenvalues 4 and 9. The eigenvalues of  are

2 and 3

16 and 81

–2 and –3

4 and 9

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Q#7 Linear Algebra GATE EE 2017 (Set 2) MCQ +2 marks -0.66 marks

The eigen values of the matrix given below are

.

(0,-1,-3)

(0,-2,-3)

(0,2,3)

(0,1,3)

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Q#8 Linear Algebra GATE EE 2017 (Set 1) MCQ +1 mark -0.33 marks

The matrix  has three distinct eigenvalues and one of its eigenvectors is . Which one of the following can be another eigenvector of A?

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Q#9 Linear Algebra GATE EE 2016 (Set 1) NAT +1 mark -0 marks

Consider a  matrix with every element being equal to 1. Its only non-zero Eigen value is ___________.

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Q#10 Linear Algebra GATE EE 2016 (Set 1) MCQ +2 marks -0.66 marks

Let the Eigen values of a  matrix A be 1, -2 with eigenvectors  and  respectively. Then the Eigen values and eigenvectors of the matrix  would, respectively, be

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Q#11 Linear Algebra GATE EE 2016 (Set 1) MCQ +2 marks -0.66 marks

Let A be a  real matrix with rank 2. Which one of the following statement is TRUE?

Rank of  is less than 2

Rank of is equal to 2

Rank of  is greater than 2

Rank of  can be any number between 1 and 3

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Q#12 Linear Algebra GATE EE 2016 (Set 2) MCQ +1 mark -0.33 marks

A  matrix P is such that, . Then the eigenvalues of P are

1, 1, -1

1, 0.5, +j0.866, 0.5 – j0.866

1, -0.5 + j0.866, -0.5 – j0.866

0, 1, -1

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Q#13 Linear Algebra GATE EE 2016 (Set 2) MCQ +2 marks -0.66 marks

Let . Consider the set S of all vectors  such that  where . Then S is

a circle of radius

a circle of radius

an ellipse with major axis along

an ellipse with minor axis along

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Q#14 Linear Algebra GATE EE 2015 (Set 1) MCQ +2 marks -0.66 marks

The maximum value of ‘a’ such that the matrix  has three linearly independent real eigenvectors is

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Q#15 Linear Algebra GATE EE 2014 (Set 1) NAT +2 marks -0 marks

A system matrix is given as follows.

The absolute value of the ratio of the maximum Eigen value to the minimum Eigen value is ______________.

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Q#16 Linear Algebra GATE EE 2014 (Set 2) MCQ +1 mark -0.33 marks

Which one of the following statements is true for all real symmetric matrices?

All the Eigen values are real. 

All the Eigen values are positive.

All the Eigen values are distinct.

Sum of all the Eigen values is zero.

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Q#17 Linear Algebra GATE EE 2013 (Set 1) MCQ +2 marks -0.66 marks

A matrix has Eigen values –1 and -2. The corresponding eigenvectors are  and respectively. The matrix is

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Q#18 Linear Algebra GATE EE 2010 (Set 1) MCQ +2 marks -0.66 marks

An eigenvector of  is

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Q#19 Linear Algebra GATE EE 2009 (Set 1) MCQ +1 mark -0.33 marks

The trace and determinant of a 2 × 2 matrix are known to be -2 and -35 respectively. Its Eigen values are

−30 and 5

−37 and −1

−7 and 5

17.5 and −2

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Q#20 Linear Algebra GATE EE 2007 (Set 1) MCQ +1 mark -0.33 marks

is an n-tuple nonzero vector.  The n × n matrix

Has rank zero

Has rank 1

Is orthogonal

Has rank n

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Q#21 Linear Algebra GATE EE 2007 (Set 1) MCQ +2 marks -0.66 marks

The linear operation L(x) is defined by the cross product , where  and  are three dimensional vectors. The 3×3 matrix M of this operation satisfies

Then the Eigen values of M are

0, +1, -1

1, -1, 1

i, −i, 1

i, −i, 0

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Q#22 Linear Algebra GATE EE 2005 (Set 1) MCQ +2 marks -0.66 marks

For the matrix , one of the Eigen values is equal to –2. Which of the following is an Eigen vector?

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Q#23 Linear Algebra GATE EE 1998 (Set 1) MCQ +1 mark -0.33 marks

The vector  is an Eigen vector of . One of the given values of A is:

1

2

5

–1

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Q#24 Linear Algebra GATE EE 1998 (Set 1) MCQ +1 mark -0.33 marks

 The sum of the Eigen values of the matrix A is:

10

–10

24

22

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Q#25 Linear Algebra GATE EE 1995 (Set 1) MSQ +1 mark -0 marks

Given the matrix. Its Eigen values are ____________.

-1

-2

-3

-4

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Q#26 Linear Algebra GATE EE 1994 (Set 1) MCQ +1 mark -0.33 marks

The eigen-values of the matrix  are

(a+1), 0

a, 0

(a-1), 0

0, 0

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