Linear Algebra: Matrix Theory - Problem Set with Solutions, Study notes of Algebra

A comprehensive problem set with solutions for linear algebra, focusing on matrix theory. It covers basic matrix operations such as addition and scalar multiplication, matrix multiplication, determinants and inverses, solving systems of linear equations using matrices, and eigenvalues and eigenvectors. Advanced problems, including orthogonal matrices, are also included, making it a valuable resource for students studying linear algebra. Suitable for university students.

Typology: Study notes

2022/2023

Available from 12/27/2025

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Massachusetts institute of technology
18.06-Linear Algebra
Matrix theory-Problem Set with Solutions
PARTA: BASIC PROBLEMS
Problem 1: Matrix Addition
Given:
A=[2 −1
3 4 ], B=[1 5
−2 6]
Find A+B.
Solution:
A+B = [2+1 −1+ 5
3+(−2) 4+6 ], = [3 4
110]
Problem 2: Scalar Multiplication
If
A=[4 −2
1 3 ]
Find 3A
Solution:
3A=[12 −6
3 9 ]
PART B: MATRIX MULTIPLICATION
Problem 3: Product of Matrices
A=[1 2
3 4], B=[2 0
1 5],
Find AB.
Solution:
AB=[(1)(2)+(2)(1) (1)(0)+(2)(5)
(3)(2)+(4)(1) (3)(0)+(4)(5)] = [410
10 20]
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Massachusetts institute of technology

18.06-Linear Algebra

Matrix theory-Problem Set with Solutions

PARTA: BASIC PROBLEMS

Problem 1: Matrix Addition

Given:

A=

[

]

, B=

[

]

Find A+B.

Solution:

A+B = [

], = [

]

Problem 2: Scalar Multiplication

If

A=

[

]

Find 3A

Solution:

3A=

[

]

PART B: MATRIX MULTIPLICATION

Problem 3: Product of Matrices

A=[

], B=[

],

Find AB.

Solution:

AB=[

] = [

]

Problem 4: Non-Commutativity

Verify AB≠BA using matrices in Problem 3.

Solution:

BA = [

] [

] = [

]

Since

AB≠BA

Matrix multiplication is not commutative.

PART C: DETERMINANTS & INVERSE

Problem 5: Determinant

Find the determinant of

A=[

]

Problem 6: Inverse of a Matrix

Find A

  • 1

if

A=

[

]

Solution:

|A| = (2)(3) – (5)(1)= 6−5=

A

  • 1

[

]=[

]

PART D : SYSTEM OF LINEAR EQUATIONS

Problem 7 : Solve Using Matrix Method

Solve:

2x+y=

X+3y=

Solution:

A

T

A=[

]=I

Hence, A is Orthogonal.

Practice Questions

Very Short Answer Questions