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Engineering Mathematics
Linear Algebra
Matrices and Determinants

Questions mapped to Matrices and Determinants under Linear Algebra.

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

 is an  skew-symmetric matrix with real-valued entries, and  is an -dimensional column vector with real-valued entries such that .

The quantity  evaluates to

(Answer in integer)

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Q#2 Linear Algebra GATE EE 2026 (Set 1) MSQ +2 marks -0 marks

Consider an  orthogonal matrix  with real entries and each column having unit Euclidean norm.

Which of the following statements is/are correct?

The value of the determinant of  is either +1 or -1

The eigenvalues of  have modulus 1

, for all , where  denotes the Euclidean norm of , and , for all distinct

, for all , where  denotes the Euclidean norm of , and , for all

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Q#3 Linear Algebra GATE EE 2025 (Set 1) MCQ +1 mark -0.33 marks

Let  and let I can be identity matrix. Then  is equal to

2P-I

P

I

P+I

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Q#4 Linear Algebra GATE EE 2024 (Set 1) MCQ +1 mark -0.33 marks

Which one of the following matrices has an inverse?

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Q#5 Linear Algebra GATE EE 2023 (Set 1) MCQ +1 mark -0.33 marks

For a given vector , the vector normal to the plane defined by  is

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Q#6 Linear Algebra GATE EE 2023 (Set 1) MCQ +1 mark -0.33 marks

In the figure, the vectors  and  are related as:  by a transformation matrix A. The correct choice of  is

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Q#7 Linear Algebra GATE EE 2022 (Set 1) MCQ +1 mark -0.33 marks

Consider a  matrix  whose -th element, . Then the matrix  will be

symmetric

skew-symmetric

unitary

null

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Q#8 Linear Algebra GATE EE 2022 (Set 1) MCQ +2 marks -0.66 marks

Consider a matrix . The matrix  satisfies the equation , where  and  are scalars and  is the identity matrix. Then  is equal to

5

17

-6

11

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Q#9 Linear Algebra GATE EE 2021 (Set 1) NAT +2 marks -0 marks

Let  be a  matrix such that  is null matrix, and let  be the  identity matrix. The determinant of  is _______.

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Q#10 Linear Algebra GATE EE 2020 (Set 1) MSQ +2 marks -0.66 marks

The number of purely real elements in a lower triangular representation of the given  matrix, obtained through the given decomposition is

 

6

5

8

9

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Q#11 Linear Algebra GATE EE 2019 (Set 1) NAT +1 mark -0 marks

The rank of the matrix,  is __________________.

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Q#12 Linear Algebra GATE EE 2019 (Set 1) MCQ +2 marks -0.66 marks

Consider a matrix , where, and  are the column vectors. Suppose , where  and  are the row vectors. Consider the following statements:

Statement 1:

Statement 2:

Statement 1 is true and statement 2 is false

Statement 2 is true and statement 1 s false

Both the statements are true

Both the statements are false

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Q#13 Linear Algebra GATE EE 2018 (Set 1) NAT +1 mark -0 marks

Consider a non-singular  square matrix A If and, the determinant of the matrix A is ________ (up to 1 decimal place).

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Q#14 Linear Algebra GATE EE 2018 (Set 1) NAT +2 marks -0 marks

Let and, where I is identity matrix. The determinant of B is ______ (up to 1 decimal place).

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Q#15 Linear Algebra GATE EE 2017 (Set 2) NAT +1 mark -0 marks

Let  and . The value of  equals _________. (Give the answer up to three decimal places)

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Q#16 Linear Algebra GATE EE 2015 (Set 1) NAT +1 mark -0 marks

If the sum of the diagonal elements of a 2 x 2 matrix is -6, then the maximum possible value of determinant of the matrix is ____________.

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Q#17 Linear Algebra GATE EE 2014 (Set 3) MCQ +1 mark -0.33 marks

Two matrices A and B are given below:

If the rank of matrix A is N, then the rank of matrix B is

N/2

N-1

N

2 N

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Q#18 Linear Algebra GATE EE 2012 (Set 1) MCQ +2 marks -0.66 marks

Given that

 and , the value of  is

15A + 12I

19A + 30I

17A + 15I

17A + 21I

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Q#19 Linear Algebra GATE EE 2011 (Set 1) MCQ +2 marks -0.66 marks

The matrix  is decomposed into a product of a lower triangular matrix [L] and an upper triangular matrix [U]. The properly decomposed [L] and [U] matrices respectively are

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Q#20 Linear Algebra GATE EE 2008 (Set 1) MCQ +1 mark -0.33 marks

The characteristic equation of a (3 × 3) matrix P is defined as. If I denote identity matrix, then the inverse of matrix P will be

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Q#21 Linear Algebra GATE EE 2008 (Set 1) MCQ +1 mark -0.33 marks

If the rank of a (5×6) matrix Q is 4, then which one of the following statements is correct?

Q will have four linearly independent rows and four linearly Independent columns

Q will have four linearly Independent rows and five linearly Independent columns

 will be invertible

 will be invertible

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Q#22 Linear Algebra GATE EE 2008 (Set 1) MCQ +2 marks -0.66 marks

A is a m×n full ran matrix with m > n and I is an identity matrix. Let matrix. Then, which one of the following statements is FALSE?

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Q#23 Linear Algebra GATE EE 2008 (Set 1) MCQ +2 marks -0.66 marks

Let P be a 2 ´ 2 real orthogonal matrix and  is a real vector  with length.  Then, which one of the following statements is correct?

 where at least one vector satisfies

 for all vectors

 where at least one vector satisfies

No relationship can be established between  and

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Q#24 Linear Algebra GATE EE 2007 (Set 1) MCQ +2 marks -0.66 marks

Let x and y be two vectors in a 3 dimensional space and <x, y> denote their dot product. Then the determinant

Is zero when x and y are linearly independent

Is positive when x and y are linearly independent

Is non-zero for all non-zero x and y

Is zero only when either x or y is zero

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Q#25 Linear Algebra GATE EE 2007 (Set 1) MSQ +2 marks -0 marks

Cayley-Hamilton Theorem states that a square matrix satisfies its own characteristic equation.

Consider a matrix

A satisfies the relation        

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Q#26 Linear Algebra GATE EE 2007 (Set 1) MCQ +2 marks -0.66 marks

Cayley-Hamilton Theorem states that a square matrix satisfies its own characteristic equation.

Consider a matrix

 equals

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Q#27 Linear Algebra GATE EE 2006 (Set 1) MCQ +2 marks -0.66 marks

are three vectors

An orthogonal set of vectors having a span that contains p, q, r is

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Q#28 Linear Algebra GATE EE 2006 (Set 1) MCQ +2 marks -0.66 marks

are three vectors

The following vector is linearly dependent upon the solution to the previous problem

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Q#29 Linear Algebra GATE EE 2005 (Set 1) MCQ +2 marks -0.66 marks

If , the top row of  is:

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Q#30 Linear Algebra GATE EE 2002 (Set 1) MCQ +1 mark -0.33 marks

The determinant of the matrix

  is:

100

200

1

300

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Q#31 Linear Algebra GATE EE 1998 (Set 1) MCQ +2 marks -0.66 marks

 The inverse of A is:

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Q#32 Linear Algebra GATE EE 1997 (Set 1) MCQ +1 mark -0.33 marks

A square matrix is called singular, if its

Determinant is unity        

Determinant is zero

Determinant is infinity

Rank is unity

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Q#33 Linear Algebra GATE EE 1997 (Set 1) MCQ +2 marks -0.66 marks

Express the given matrix A as a product of two triangular matrices, L and U, where the diagonal elements of the lower triangular matrix L are unity and U is an upper triangular matriX

 

None

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Q#34 Linear Algebra GATE EE 1995 (Set 1) MCQ +1 mark -0.33 marks

The inverse of the matrix  is:

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Q#35 Linear Algebra GATE EE 1994 (Set 1) MCQ +1 mark -0.33 marks

 matrix has all its entries equal to -1. The rank of the matrix is

7

5

1

zero

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