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Previous year question hub

Matrix Algebra - General Aptitude - General Aptitude (GA) Previous Year Questions

Practice Matrix Algebra - General Aptitude - General Aptitude (GA) previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

2Papers
1Years
3Questions
1Topics

Matrix Algebra question pattern

Every graph below is calculated only from this selection.

Questions by year

Compare question counts across years.

Difficulty distribution

How the classified questions are distributed by difficulty.

Medium 2 66.7%
Hard 1 33.3%

Question type distribution

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

MCQ 2 66.7%
Numerical Answer Type (NAT) 1 33.3%

Subject weightage

Top subjects by unique question coverage.

General Aptitude (GA)
3 Qs

Most asked topics

Top topics across the included previous year papers.

General Aptitude
3 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Matrix Algebra
3 Qs

Paper coverage

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

Electrical Engineering (EE) 2015 [Session 1]
2 Qs
Electrical Engineering (EE) 2015 [Session 2]
1 Qs

Included previous year papers

Newest papers appear first. Search these papers or sort by year and name.

Paper nameYearPDFAttempt
Electrical Engineering (EE) 2015 [Session 1]2015
2 questions in this view
2015
Electrical Engineering (EE) 2015 [Session 2]2015
1 questions in this view
2015

All Matrix Algebra previous year questions

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

1
2015 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electrical Engineering (EE) 2015 [Session 1]
If the sum of the diagonal elements of a \( 2 \times 2 \) matrix is \( -6 \), then the maximum possible value of determinant of the matrix is __________.
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2
2015 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electrical Engineering (EE) 2015 [Session 1]
The maximum value of \(\alpha\) such that the matrix \(\begin{pmatrix} -3 & 0 & -2 \\ 1 & -1 & 0 \\ 0 & \alpha & -2 \end{pmatrix}\) has three linearly independent real eigenvectors is
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3
2015 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electrical Engineering (EE) 2015 [Session 2]
We have a set of 3 linear equations in 3 unknowns. ‘\(X \equiv Y\)’ means \(X\) and \(Y\) are equivalent statements and ‘\(X \not\equiv Y\)’ means \(X\) and \(Y\) are not equivalent statements.

P: There is a unique solution.
Q: The equations are linearly independent.
R: All eigenvalues of the coefficient matrix are nonzero.
S: The determinant of the coefficient matrix is nonzero.

Which one of the following is TRUE?
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