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Previous year question hub

Linear Algebra - Engineering Mathematics - Aerospace Engineering Previous Year Questions

Practice Linear Algebra - Engineering Mathematics - Aerospace Engineering previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

2Papers
2Years
6Questions
1Topics

Linear Algebra question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for Linear Algebra. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 5 83.3%
Medium 1 16.7%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

Multiple Choices 5 83.3%
Numerical Answer Type (NAT) 1 16.7%

Subject weightage

Top subjects by unique question coverage.

Aerospace Engineering
6 Qs

Most asked topics

Top topics across the included previous year papers.

Engineering Mathematics
6 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Linear Algebra
6 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Aerospace Engineering (AE) 2026
3 Qs
Aerospace Engineering (AE) 2025
3 Qs

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Aerospace Engineering (AE) 202620263View paper
Aerospace Engineering (AE) 202520253View paper

All Linear Algebra previous year questions

Practice every matching question in batches of 20, with every available option.

1
2025 · Aerospace Engineering · Engineering Mathematics · Linear Algebra
Aerospace Engineering (AE) 2025
For any real symmetric matrix A, the transpose of A is ____ .
A
inverse of A
B
null matrix
C
– A
D
A
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2
2025 · Aerospace Engineering · Engineering Mathematics · Linear Algebra
Aerospace Engineering (AE) 2025
The given system of equations has
2x + 3y + z = 0
x + y = 0
y + z = 0
A
a unique solution.
B
infinitely many solutions.
C
no solution.
D
a finite number of solutions.
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3
2025 · Aerospace Engineering · Engineering Mathematics · Linear Algebra
Aerospace Engineering (AE) 2025
The eigenvalues of the matrix \(\begin{bmatrix} 1 & 2 \\ 0 & 3 \end{bmatrix}\) are ____.
A
0, 2
B
2, 3
C
1, 3
D
1, 2
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4
2026 · Aerospace Engineering · Engineering Mathematics · Linear Algebra
Aerospace Engineering (AE) 2026
An \(n \times n\) square matrix \(A\) satisfies \(A^T = A^{-1}\). The determinant of this matrix may take which of the following value(s)?
A

+1

B
-1
C
n
D

0

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5
2026 · Aerospace Engineering · Engineering Mathematics · Linear Algebra
Aerospace Engineering (AE) 2026
If a matrix can be written as A = uv^T, where both u and v are n-dimensional real-valued non-zero column vectors, then the rank of the matrix A is _______ (answer in integer).
Enter a numerical response
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6
2026 · Aerospace Engineering · Engineering Mathematics · Linear Algebra
Aerospace Engineering (AE) 2026
For the matrix \(A = \begin{bmatrix} a & b \\ c & d \end{bmatrix}\), if the relation \(a + b = c + d\) holds and \(a, b, c, d \neq 0\), then which one of the following statements about \(A\) is FALSE?
A
\(\begin{bmatrix} 1 \\ 1 \end{bmatrix}\) is an eigenvector
B
\(\lambda = a + b\) is an eigenvalue
C
\(\lambda = d - b\) is an eigenvalue
D
\(\lambda = d + b\) is an eigenvalue
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