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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.

3Papers
2Years
5Questions
1Topics

Matrix Algebra question pattern

Every graph below is calculated only from this selection.

Questions by year

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

Difficulty distribution

How the classified questions are distributed by difficulty.

Medium 2 40%
Easy 2 40%
Hard 1 20%

Question type distribution

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

MCQ 4 80%
Numerical Answer Type (NAT) 1 20%

Subject weightage

Top subjects by unique question coverage.

General Aptitude (GA)
5 Qs

Most asked topics

Top topics across the included previous year papers.

General Aptitude
5 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Matrix Algebra
5 Qs

Paper coverage

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

Electronics & Communication Engineering (EC) 2016 [Session 1]
2 Qs
Electronics & Communication Engineering (EC) 2015 [Session 1]
2 Qs
Electronics & Communication Engineering (EC) 2015 [Session 2]
1 Qs

Included previous year papers

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

PaperYear / sessionQuestions in this viewOpen
Electronics & Communication Engineering (EC) 2016 [Session 1]20162View paper
Electronics & Communication Engineering (EC) 2015 [Session 1]20152View paper
Electronics & Communication Engineering (EC) 2015 [Session 2]20151View paper

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
Electronics & Communication Engineering (EC) 2015 [Session 1]
The value of \(p\) such that the vector \(\begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix}\) is an eigenvector of the matrix \(\begin{bmatrix} 4 & 1 & 2 \\ p & 2 & 1 \\ 14 & -4 & 10 \end{bmatrix}\) is ______.
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2
2015 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electronics & Communication Engineering (EC) 2015 [Session 1]
Two sequences \([a, b, c]\) and \([A, B, C]\) are related as, \[\begin{bmatrix} A \\ B \\ C \end{bmatrix} = \begin{bmatrix} 1 & 1 & 1 \\ 1 & W_3^{-1} & W_3^{-2} \\ 1 & W_3^{-2} & W_3^{-4} \end{bmatrix} \begin{bmatrix} a \\ b \\ c \end{bmatrix} \quad \text{where } W_3 = e^{j\frac{2\pi}{3}}.\] If another sequence \([p, q, r]\) is derived as, \[\begin{bmatrix} p \\ q \\ r \end{bmatrix} = \begin{bmatrix} 1 & 1 & 1 \\ 1 & W_3^1 & W_3^2 \\ 1 & W_3^2 & W_3^4 \end{bmatrix} \begin{bmatrix} 1 & 0 & 0 \\ 0 & W_3^1 & 0 \\ 0 & 0 & W_3^2 \end{bmatrix} \begin{bmatrix} A/3 \\ B/3 \\ C/3 \end{bmatrix},\] then the relationship between the sequences \([p, q, r]\) and \([a, b, c]\) is

Question diagram

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3
2015 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electronics & Communication Engineering (EC) 2015 [Session 2]
The value of x for which all the eigen-values of the matrix given below are real is
\[ \begin{bmatrix} 10 & 5+j & 4 \\ x & 20 & 2 \\ 4 & 2 & -10 \end{bmatrix} \]
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4
2016 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electronics & Communication Engineering (EC) 2016 [Session 1]
Let \( M^4 = I \), (where I denotes the identity matrix) and M  ,   \( M^2 \)  , and \( M^3 \)  . Then, for any natural number k, \( M^{-1} \) equals:
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5
2016 · General Aptitude (GA) · General Aptitude · Matrix Algebra
Electronics & Communication Engineering (EC) 2016 [Session 1]
Consider a two-port network with the transmission matrix: \( T = \begin{pmatrix} A & B \\ C & D \end{pmatrix} \). If the network is reciprocal, then
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