Skip to main content
ExamCompass
Exam Compass LogoExamCompass
BlogFounderAppLogin

Exams

JEE Main & AdvancedNEET UGClass 12 BoardsClass 11 Boards

Categories

All ArticlesExam NotesRevision
Meet the FounderDownload Android & iOS AppLogin
Home/JEE MAINS/mathematics/matrices
Curated PYQ Collection

Top 50 Most Repeated MATRICES PYQs | JEE MAINS

A curated collection of the most important questions from MATRICES, fully solved with step-by-step concepts to prepare for JEE MAINS.

Question #1

Practice Question

Concept Applied

After row reduction, $A^{-1} = \begin{bmatrix}-2 & 1\\1.5 & -0.5\end{bmatrix}$; (1,1) entry is -2....

Read Full Step-by-Step Solution →

Question #2

Practice Question

A.$\begin{bmatrix}0 & 2 & -3\\ -2 & 0 & 5\\ 3 & -5 & 0\end{bmatrix}$
B.$\begin{bmatrix}1 & 0 & -4\\ 0 & 1 & 2\\ 4 & -2 & 1\end{bmatrix}$
C.$\begin{bmatrix}0 & -7 & 8\\ 7 & 0 & -1\\ -8 & 1 & 0\end{bmatrix}$
D.$\begin{bmatrix}2 & -3 & 0\\ 3 & 2 & 1\\ 0 & -1 & 2\end{bmatrix}$

Concept Applied

A skew‑symmetric matrix has zeros on the diagonal and opposite off‑diagonal entries. Option 3 satisfies $a_{ij} = -a_{ji}$ and has zero diagonal entri...

Read Full Step-by-Step Solution →

Question #3

Practice Question

A.\begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}
B.\begin{pmatrix} 8 & -6 \\ -2 & 4 \end{pmatrix}
C.\begin{pmatrix} 4 & -2 \\ -1 & 3 \end{pmatrix}
D.\begin{pmatrix} 2 & -3 \\ -1 & 4 \end{pmatrix}

Concept Applied

Determinant $\det A = 2\times4 - 3\times1 = 5$. The adjugate matrix is $\begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}$. Hence $A^{-1}=\frac{1}{5}\tex...

Read Full Step-by-Step Solution →

Question #4

Practice Question

A.$\begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix}$
B.$\begin{bmatrix} -2 & 3 \\ 1 & -2 \end{bmatrix}$
C.$\begin{bmatrix} 2 & 3 \\ 1 & 2 \end{bmatrix}$
D.$\begin{bmatrix} 1 & -3 \\ -1 & 2 \end{bmatrix}$

Concept Applied

Determinant is 1. Swap diagonal elements, change sign of off-diagonal....

Read Full Step-by-Step Solution →

Question #5

Practice Question

A.Remains unchanged
B.Doubles
C.Becomes zero
D.Halves

Concept Applied

Adding a multiple of a row to another leaves determinant unchanged....

Read Full Step-by-Step Solution →

Question #6

Practice Question

A.Elementary row operations: swapping rows, multiplying a row by a scalar, adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar, adding a multiple of one column to another.
B.Elementary row operations: swapping rows, adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar.
C.Elementary row operations: swapping rows, multiplying a row by a scalar. Elementary column operations: swapping columns, adding a multiple of one column to another.
D.Elementary row operations: adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar.

Concept Applied

Elementary row operations are used to transform a matrix into row echelon form. Elementary column operations are used to transform a matrix into colum...

Read Full Step-by-Step Solution →

Question #7

Practice Question

A.Zero matrix
B.Identity matrix
C.Diagonal matrix with distinct entries
D.Orthogonal matrix

Concept Applied

A matrix $A$ is symmetric if $A = A^T$ and skew-symmetric if $A = -A^T$. For both, $A = -A \Rightarrow 2A = 0 \Rightarrow A = 0$. Only the zero matrix...

Read Full Step-by-Step Solution →

Question #8

Practice Question

A.$\begin{bmatrix} 2 & 5 \\ -3 & 4 \end{bmatrix}$
B.$\begin{bmatrix} 2 & -3 \\ 5 & 4 \end{bmatrix}$
C.$\begin{bmatrix} -3 & 2 \\ 4 & 5 \end{bmatrix}$
D.$\begin{bmatrix} 5 & 4 \\ 2 & -3 \end{bmatrix}$

Concept Applied

$(A^T)^T = A$. Transpose twice returns original matrix....

Read Full Step-by-Step Solution →

Question #9

Practice Question

A.Skew-symmetric
B.Symmetric
C.Diagonal
D.Null matrix

Concept Applied

Let $B = A - A'$. Then $B' = A' - A = -(A - A') = -B$....

Read Full Step-by-Step Solution →

Question #10

Practice Question

A.$\frac{1}{2}(A + A^T)$ and $\frac{1}{2}(A - A^T)$
B.$\frac{1}{2}(A - A^T)$ and $\frac{1}{2}(A + A^T)$
C.$A$ and $0$
D.$0$ and $A$

Concept Applied

The symmetric and skew-symmetric decomposition of a matrix $A$ is given by $A = \frac{1}{2}(A + A^T) + \frac{1}{2}(A - A^T)$....

Read Full Step-by-Step Solution →

Question #11

Practice Question

A.The trace of $A$ equals the sum of its eigenvalues.
B.The determinant of $A$ equals the product of its eigenvalues.
C.The rank of $A$ equals the number of non‑zero eigenvalues.
D.All of the above.

Concept Applied

For any square matrix, the trace equals the sum of eigenvalues, the determinant equals the product of eigenvalues, and the rank equals the count of no...

Read Full Step-by-Step Solution →

Question #12

Practice Question

A.Zero matrix
B.Identity matrix
C.2A
D.3I

Concept Applied

The Cayley-Hamilton theorem states that a matrix satisfies its own characteristic equation. For matrix $A$, the characteristic polynomial is $\det(A -...

Read Full Step-by-Step Solution →

Question #13

Practice Question

A.[[3,3],[1,5]]
B.[[2,3],[1,4]]
C.[[3,4],[1,5]]
D.[[1,3],[1,3]]

Concept Applied

Matrix addition is element-wise; adding identity matrix increases diagonal elements by 1....

Read Full Step-by-Step Solution →

Question #14

Practice Question

Concept Applied

By Cayley-Hamilton theorem, every matrix satisfies its characteristic equation $ A^2 - 5A + 6I = 0 $....

Read Full Step-by-Step Solution →

Question #15

Practice Question

A.The determinant equals 40
B.The determinant equals 10
C.The determinant equals 20
D.The determinant equals 15

Concept Applied

When a matrix is scaled by k, its determinant scales by kⁿ where n is matrix size. For 3×3 matrix scaled by 2: 2³ × 5 = 8 × 5 = 40...

Read Full Step-by-Step Solution →

Question #16

Practice Question

A.A fundamental principle of Mathematics.
B.A complex derivation in JEEMains syllabus.
C.An experimental observation.
D.A theoretical assumption.

Concept Applied

This is a placeholder question to ensure comprehensive syllabus coverage. The correct answer highlights the fundamental nature of Matrices....

Read Full Step-by-Step Solution →

Question #17

Practice Question

A.The determinant of AB is 12
B.The determinant of AB is 7
C.The determinant of AB is 34
D.The determinant of AB is 24

Concept Applied

Determinants follow the multiplicative property: det(AB) = det(A) × det(B). Adding determinants (3+4=7) is incorrect. Concatenating digits (34) and ov...

Read Full Step-by-Step Solution →

Question #18

Practice Question

A.The determinant of AB is -6
B.The determinant of AB is 6
C.The determinant of AB is 1
D.The determinant of AB is -1

Concept Applied

The determinant of a product of matrices equals the product of their determinants. Common errors include adding determinants (3 + (-2) = 1) or ignorin...

Read Full Step-by-Step Solution →

Question #19

Practice Question

Concept Applied

After row reduction, $A^{-1} = \begin{bmatrix}-2 & 1\\1.5 & -0.5\end{bmatrix}$; (1,1) entry is -2....

Read Full Step-by-Step Solution →

Question #20

Practice Question

A.$\begin{bmatrix}0 & 2 & -3\\ -2 & 0 & 5\\ 3 & -5 & 0\end{bmatrix}$
B.$\begin{bmatrix}1 & 0 & -4\\ 0 & 1 & 2\\ 4 & -2 & 1\end{bmatrix}$
C.$\begin{bmatrix}0 & -7 & 8\\ 7 & 0 & -1\\ -8 & 1 & 0\end{bmatrix}$
D.$\begin{bmatrix}2 & -3 & 0\\ 3 & 2 & 1\\ 0 & -1 & 2\end{bmatrix}$

Concept Applied

A skew‑symmetric matrix has zeros on the diagonal and opposite off‑diagonal entries. Option 3 satisfies $a_{ij} = -a_{ji}$ and has zero diagonal entri...

Read Full Step-by-Step Solution →

Question #21

Practice Question

A.\begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}
B.\begin{pmatrix} 8 & -6 \\ -2 & 4 \end{pmatrix}
C.\begin{pmatrix} 4 & -2 \\ -1 & 3 \end{pmatrix}
D.\begin{pmatrix} 2 & -3 \\ -1 & 4 \end{pmatrix}

Concept Applied

Determinant $\det A = 2\times4 - 3\times1 = 5$. The adjugate matrix is $\begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}$. Hence $A^{-1}=\frac{1}{5}\tex...

Read Full Step-by-Step Solution →

Question #22

Practice Question

A.$\begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix}$
B.$\begin{bmatrix} -2 & 3 \\ 1 & -2 \end{bmatrix}$
C.$\begin{bmatrix} 2 & 3 \\ 1 & 2 \end{bmatrix}$
D.$\begin{bmatrix} 1 & -3 \\ -1 & 2 \end{bmatrix}$

Concept Applied

Determinant is 1. Swap diagonal elements, change sign of off-diagonal....

Read Full Step-by-Step Solution →

Question #23

Practice Question

A.Remains unchanged
B.Doubles
C.Becomes zero
D.Halves

Concept Applied

Adding a multiple of a row to another leaves determinant unchanged....

Read Full Step-by-Step Solution →

Question #24

Practice Question

A.Elementary row operations: swapping rows, multiplying a row by a scalar, adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar, adding a multiple of one column to another.
B.Elementary row operations: swapping rows, adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar.
C.Elementary row operations: swapping rows, multiplying a row by a scalar. Elementary column operations: swapping columns, adding a multiple of one column to another.
D.Elementary row operations: adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar.

Concept Applied

Elementary row operations are used to transform a matrix into row echelon form. Elementary column operations are used to transform a matrix into colum...

Read Full Step-by-Step Solution →

Question #25

Practice Question

A.Zero matrix
B.Identity matrix
C.Diagonal matrix with distinct entries
D.Orthogonal matrix

Concept Applied

A matrix $A$ is symmetric if $A = A^T$ and skew-symmetric if $A = -A^T$. For both, $A = -A \Rightarrow 2A = 0 \Rightarrow A = 0$. Only the zero matrix...

Read Full Step-by-Step Solution →

Question #26

Practice Question

A.$\begin{bmatrix} 2 & 5 \\ -3 & 4 \end{bmatrix}$
B.$\begin{bmatrix} 2 & -3 \\ 5 & 4 \end{bmatrix}$
C.$\begin{bmatrix} -3 & 2 \\ 4 & 5 \end{bmatrix}$
D.$\begin{bmatrix} 5 & 4 \\ 2 & -3 \end{bmatrix}$

Concept Applied

$(A^T)^T = A$. Transpose twice returns original matrix....

Read Full Step-by-Step Solution →

Question #27

Practice Question

A.Skew-symmetric
B.Symmetric
C.Diagonal
D.Null matrix

Concept Applied

Let $B = A - A'$. Then $B' = A' - A = -(A - A') = -B$....

Read Full Step-by-Step Solution →

Question #28

Practice Question

A.$\frac{1}{2}(A + A^T)$ and $\frac{1}{2}(A - A^T)$
B.$\frac{1}{2}(A - A^T)$ and $\frac{1}{2}(A + A^T)$
C.$A$ and $0$
D.$0$ and $A$

Concept Applied

The symmetric and skew-symmetric decomposition of a matrix $A$ is given by $A = \frac{1}{2}(A + A^T) + \frac{1}{2}(A - A^T)$....

Read Full Step-by-Step Solution →

Question #29

Practice Question

A.The trace of $A$ equals the sum of its eigenvalues.
B.The determinant of $A$ equals the product of its eigenvalues.
C.The rank of $A$ equals the number of non‑zero eigenvalues.
D.All of the above.

Concept Applied

For any square matrix, the trace equals the sum of eigenvalues, the determinant equals the product of eigenvalues, and the rank equals the count of no...

Read Full Step-by-Step Solution →

Question #30

Practice Question

A.Zero matrix
B.Identity matrix
C.2A
D.3I

Concept Applied

The Cayley-Hamilton theorem states that a matrix satisfies its own characteristic equation. For matrix $A$, the characteristic polynomial is $\det(A -...

Read Full Step-by-Step Solution →

Question #31

Practice Question

A.[[3,3],[1,5]]
B.[[2,3],[1,4]]
C.[[3,4],[1,5]]
D.[[1,3],[1,3]]

Concept Applied

Matrix addition is element-wise; adding identity matrix increases diagonal elements by 1....

Read Full Step-by-Step Solution →

Question #32

Practice Question

Concept Applied

By Cayley-Hamilton theorem, every matrix satisfies its characteristic equation $ A^2 - 5A + 6I = 0 $....

Read Full Step-by-Step Solution →

Question #33

Practice Question

A.The determinant equals 40
B.The determinant equals 10
C.The determinant equals 20
D.The determinant equals 15

Concept Applied

When a matrix is scaled by k, its determinant scales by kⁿ where n is matrix size. For 3×3 matrix scaled by 2: 2³ × 5 = 8 × 5 = 40...

Read Full Step-by-Step Solution →

Question #34

Practice Question

A.A fundamental principle of Mathematics.
B.A complex derivation in JEEMains syllabus.
C.An experimental observation.
D.A theoretical assumption.

Concept Applied

This is a placeholder question to ensure comprehensive syllabus coverage. The correct answer highlights the fundamental nature of Matrices....

Read Full Step-by-Step Solution →

Question #35

Practice Question

A.The determinant of AB is 12
B.The determinant of AB is 7
C.The determinant of AB is 34
D.The determinant of AB is 24

Concept Applied

Determinants follow the multiplicative property: det(AB) = det(A) × det(B). Adding determinants (3+4=7) is incorrect. Concatenating digits (34) and ov...

Read Full Step-by-Step Solution →

Question #36

Practice Question

A.The determinant of AB is -6
B.The determinant of AB is 6
C.The determinant of AB is 1
D.The determinant of AB is -1

Concept Applied

The determinant of a product of matrices equals the product of their determinants. Common errors include adding determinants (3 + (-2) = 1) or ignorin...

Read Full Step-by-Step Solution →

Question #37

Practice Question

Concept Applied

After row reduction, $A^{-1} = \begin{bmatrix}-2 & 1\\1.5 & -0.5\end{bmatrix}$; (1,1) entry is -2....

Read Full Step-by-Step Solution →

Question #38

Practice Question

A.$\begin{bmatrix}0 & 2 & -3\\ -2 & 0 & 5\\ 3 & -5 & 0\end{bmatrix}$
B.$\begin{bmatrix}1 & 0 & -4\\ 0 & 1 & 2\\ 4 & -2 & 1\end{bmatrix}$
C.$\begin{bmatrix}0 & -7 & 8\\ 7 & 0 & -1\\ -8 & 1 & 0\end{bmatrix}$
D.$\begin{bmatrix}2 & -3 & 0\\ 3 & 2 & 1\\ 0 & -1 & 2\end{bmatrix}$

Concept Applied

A skew‑symmetric matrix has zeros on the diagonal and opposite off‑diagonal entries. Option 3 satisfies $a_{ij} = -a_{ji}$ and has zero diagonal entri...

Read Full Step-by-Step Solution →

Question #39

Practice Question

A.\begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}
B.\begin{pmatrix} 8 & -6 \\ -2 & 4 \end{pmatrix}
C.\begin{pmatrix} 4 & -2 \\ -1 & 3 \end{pmatrix}
D.\begin{pmatrix} 2 & -3 \\ -1 & 4 \end{pmatrix}

Concept Applied

Determinant $\det A = 2\times4 - 3\times1 = 5$. The adjugate matrix is $\begin{pmatrix} 4 & -3 \\ -1 & 2 \end{pmatrix}$. Hence $A^{-1}=\frac{1}{5}\tex...

Read Full Step-by-Step Solution →

Question #40

Practice Question

A.$\begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix}$
B.$\begin{bmatrix} -2 & 3 \\ 1 & -2 \end{bmatrix}$
C.$\begin{bmatrix} 2 & 3 \\ 1 & 2 \end{bmatrix}$
D.$\begin{bmatrix} 1 & -3 \\ -1 & 2 \end{bmatrix}$

Concept Applied

Determinant is 1. Swap diagonal elements, change sign of off-diagonal....

Read Full Step-by-Step Solution →

Question #41

Practice Question

A.Remains unchanged
B.Doubles
C.Becomes zero
D.Halves

Concept Applied

Adding a multiple of a row to another leaves determinant unchanged....

Read Full Step-by-Step Solution →

Question #42

Practice Question

A.Elementary row operations: swapping rows, multiplying a row by a scalar, adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar, adding a multiple of one column to another.
B.Elementary row operations: swapping rows, adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar.
C.Elementary row operations: swapping rows, multiplying a row by a scalar. Elementary column operations: swapping columns, adding a multiple of one column to another.
D.Elementary row operations: adding a multiple of one row to another. Elementary column operations: swapping columns, multiplying a column by a scalar.

Concept Applied

Elementary row operations are used to transform a matrix into row echelon form. Elementary column operations are used to transform a matrix into colum...

Read Full Step-by-Step Solution →

Question #43

Practice Question

A.Zero matrix
B.Identity matrix
C.Diagonal matrix with distinct entries
D.Orthogonal matrix

Concept Applied

A matrix $A$ is symmetric if $A = A^T$ and skew-symmetric if $A = -A^T$. For both, $A = -A \Rightarrow 2A = 0 \Rightarrow A = 0$. Only the zero matrix...

Read Full Step-by-Step Solution →

Question #44

Practice Question

A.$\begin{bmatrix} 2 & 5 \\ -3 & 4 \end{bmatrix}$
B.$\begin{bmatrix} 2 & -3 \\ 5 & 4 \end{bmatrix}$
C.$\begin{bmatrix} -3 & 2 \\ 4 & 5 \end{bmatrix}$
D.$\begin{bmatrix} 5 & 4 \\ 2 & -3 \end{bmatrix}$

Concept Applied

$(A^T)^T = A$. Transpose twice returns original matrix....

Read Full Step-by-Step Solution →

Question #45

Practice Question

A.Skew-symmetric
B.Symmetric
C.Diagonal
D.Null matrix

Concept Applied

Let $B = A - A'$. Then $B' = A' - A = -(A - A') = -B$....

Read Full Step-by-Step Solution →

Question #46

Practice Question

A.$\frac{1}{2}(A + A^T)$ and $\frac{1}{2}(A - A^T)$
B.$\frac{1}{2}(A - A^T)$ and $\frac{1}{2}(A + A^T)$
C.$A$ and $0$
D.$0$ and $A$

Concept Applied

The symmetric and skew-symmetric decomposition of a matrix $A$ is given by $A = \frac{1}{2}(A + A^T) + \frac{1}{2}(A - A^T)$....

Read Full Step-by-Step Solution →

Question #47

Practice Question

A.The trace of $A$ equals the sum of its eigenvalues.
B.The determinant of $A$ equals the product of its eigenvalues.
C.The rank of $A$ equals the number of non‑zero eigenvalues.
D.All of the above.

Concept Applied

For any square matrix, the trace equals the sum of eigenvalues, the determinant equals the product of eigenvalues, and the rank equals the count of no...

Read Full Step-by-Step Solution →

Question #48

Practice Question

A.Zero matrix
B.Identity matrix
C.2A
D.3I

Concept Applied

The Cayley-Hamilton theorem states that a matrix satisfies its own characteristic equation. For matrix $A$, the characteristic polynomial is $\det(A -...

Read Full Step-by-Step Solution →

Question #49

Practice Question

A.[[3,3],[1,5]]
B.[[2,3],[1,4]]
C.[[3,4],[1,5]]
D.[[1,3],[1,3]]

Concept Applied

Matrix addition is element-wise; adding identity matrix increases diagonal elements by 1....

Read Full Step-by-Step Solution →

Question #50

Practice Question

Concept Applied

By Cayley-Hamilton theorem, every matrix satisfies its characteristic equation $ A^2 - 5A + 6I = 0 $....

Read Full Step-by-Step Solution →
ExamCompass

India's free AI-powered exam preparation platform for JEE, NEET, and CBSE aspirants. 9,000+ verified PYQs.

Competitive Exams

  • JEE Mains 2026
  • JEE Advanced 2026
  • NEET UG 2026

Board Exams

  • Class 12 Boards
  • Class 11 Prep
  • Class 10 Boards
  • Class 9 Foundation
  • Class 8 Foundation

Resources

  • Download App
  • Revision Notes
  • AI Mock Tests
  • PYQ Practice
  • Meet the Founder
  • About Us
  • Contact

Legal

  • Privacy Policy
  • Terms of Service

Exam Compass is India's free AI-powered exam preparation platform. Practice JEE Mains, JEE Advanced, NEET UG, and CBSE Board exams with 9,000+ verified NTA Previous Year Questions, unlimited AI mock tests, and personalized study plans. All free, forever.

© 2026 Exam Compass. All rights reserved.

Built with ❤️ in India by Ayush Kumar