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System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 1 
 
 
 
 
 
 
 
 
Subject: Maths, Algebra-I 
Lesson: Systems of Linear Equations 
Course Developer: Gurudatt Rao Ambedkar 
College: Acharya Narendra Dev College, (D.U.) 
 
 
 
 
 
 
 
Page 2


System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 1 
 
 
 
 
 
 
 
 
Subject: Maths, Algebra-I 
Lesson: Systems of Linear Equations 
Course Developer: Gurudatt Rao Ambedkar 
College: Acharya Narendra Dev College, (D.U.) 
 
 
 
 
 
 
 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 2 
 
 
  
Page 3


System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 1 
 
 
 
 
 
 
 
 
Subject: Maths, Algebra-I 
Lesson: Systems of Linear Equations 
Course Developer: Gurudatt Rao Ambedkar 
College: Acharya Narendra Dev College, (D.U.) 
 
 
 
 
 
 
 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 2 
 
 
  
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 3 
 
 
 
Table of Contents 
 Chapter : System of linear equations 
? 1: Learning Outcomes 
? 2: Introduction 
? 3: System of linear equation 
? 3.1: Linear equation 
? 3.2: Solution of linear equation 
? 3.3: System of linear equation 
? 3.4: Homogeneous/non-homogeneous system of linear 
equation 
? 3.5: Type of system of linear equation and its solution 
? 3.6: Particular solution 
? 4: Echelon form 
? 4.1: Pivot and free variable 
? 4.2: Solution of an echelon form 
? 5: Augmented matrix of a linear system 
? 6: Reduced row Echelon form of matrix 
? 7: Row reduction theorem 
? 8: Vector equation 
? 9: Linear combination of vectors 
? 10: Linear Span 
? 11:  Matrix form of linear system 
? 11.1:  Matrix equation 
? 11.2:  Properties of matrix-vector Product AX 
? 12:  Solution of a system of linear equation in vector form 
? 12.1:  Homogeneous system of linear equation 
Page 4


System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 1 
 
 
 
 
 
 
 
 
Subject: Maths, Algebra-I 
Lesson: Systems of Linear Equations 
Course Developer: Gurudatt Rao Ambedkar 
College: Acharya Narendra Dev College, (D.U.) 
 
 
 
 
 
 
 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 2 
 
 
  
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 3 
 
 
 
Table of Contents 
 Chapter : System of linear equations 
? 1: Learning Outcomes 
? 2: Introduction 
? 3: System of linear equation 
? 3.1: Linear equation 
? 3.2: Solution of linear equation 
? 3.3: System of linear equation 
? 3.4: Homogeneous/non-homogeneous system of linear 
equation 
? 3.5: Type of system of linear equation and its solution 
? 3.6: Particular solution 
? 4: Echelon form 
? 4.1: Pivot and free variable 
? 4.2: Solution of an echelon form 
? 5: Augmented matrix of a linear system 
? 6: Reduced row Echelon form of matrix 
? 7: Row reduction theorem 
? 8: Vector equation 
? 9: Linear combination of vectors 
? 10: Linear Span 
? 11:  Matrix form of linear system 
? 11.1:  Matrix equation 
? 11.2:  Properties of matrix-vector Product AX 
? 12:  Solution of a system of linear equation in vector form 
? 12.1:  Homogeneous system of linear equation 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 4 
 
? 13:  Linear Independence 
? 14:  Linear dependence 
? Summary 
? Exercises 
? Glossary 
? References/ Bibliography/ Further Reading 
 
1. Learning Outcomes 
After studying this chapter, you should be able to 
? classify homogeneous and non homogeneous system of linear 
equations; 
? change system of linear equations in  matrix equation/vector equation; 
? change matrices into echelon and reduced row echelon form; 
? obtain the general solution of system of linear equations; 
? obtain and classify different type of solutions of linear system; 
? understand the concept of linear independency of vectors;                                                                                                        
 
 
 
 
 
 
 
 
Page 5


System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 1 
 
 
 
 
 
 
 
 
Subject: Maths, Algebra-I 
Lesson: Systems of Linear Equations 
Course Developer: Gurudatt Rao Ambedkar 
College: Acharya Narendra Dev College, (D.U.) 
 
 
 
 
 
 
 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 2 
 
 
  
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 3 
 
 
 
Table of Contents 
 Chapter : System of linear equations 
? 1: Learning Outcomes 
? 2: Introduction 
? 3: System of linear equation 
? 3.1: Linear equation 
? 3.2: Solution of linear equation 
? 3.3: System of linear equation 
? 3.4: Homogeneous/non-homogeneous system of linear 
equation 
? 3.5: Type of system of linear equation and its solution 
? 3.6: Particular solution 
? 4: Echelon form 
? 4.1: Pivot and free variable 
? 4.2: Solution of an echelon form 
? 5: Augmented matrix of a linear system 
? 6: Reduced row Echelon form of matrix 
? 7: Row reduction theorem 
? 8: Vector equation 
? 9: Linear combination of vectors 
? 10: Linear Span 
? 11:  Matrix form of linear system 
? 11.1:  Matrix equation 
? 11.2:  Properties of matrix-vector Product AX 
? 12:  Solution of a system of linear equation in vector form 
? 12.1:  Homogeneous system of linear equation 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 4 
 
? 13:  Linear Independence 
? 14:  Linear dependence 
? Summary 
? Exercises 
? Glossary 
? References/ Bibliography/ Further Reading 
 
1. Learning Outcomes 
After studying this chapter, you should be able to 
? classify homogeneous and non homogeneous system of linear 
equations; 
? change system of linear equations in  matrix equation/vector equation; 
? change matrices into echelon and reduced row echelon form; 
? obtain the general solution of system of linear equations; 
? obtain and classify different type of solutions of linear system; 
? understand the concept of linear independency of vectors;                                                                                                        
 
 
 
 
 
 
 
 
System of Linear Equations 
        Institute of Lifelong Learning, University of Delhi                                                      
pg. 5 
 
 
 
2. Introduction: 
System of linear equation play important role in many problems of the real 
world. System of linear equations is very useful to solve many problem of 
mathematics specially of linear algebra. In this chapter we are introducing a 
brief idea about the concept and properties of linear equation and their 
system.  
Coefficients and constants used in all our system of linear equations comes 
from any number field K.  In general, scalars used in this chapter are real 
numbers, that is, they come from the real field R. 
Figure 1 in Section 3.5 present a systematic diagram of systems of linear 
equations and their solutions. Section 8 and 11 shows that how a system of 
linear equations can be equivalent to a vector equation and to a matrix 
equation. This equivalence will useful to reduce the systems of linear 
equation into linear combinations of vectors. The basic concepts of linear 
independence, spanning, also introduced in this chapter.   
3. System of linear equations: 
3.1. Linear equation: 
An equation in n unknown 
1
x
,
2
x
,
3
x
, . . . , 
n
x is said to be a linear equation if it 
can be represented in the given standard form
: 
b x c x c x c x c
n n
? ? ? ? ? . . .
3 3 2 2 1 1
 
Where
1
c
 
,
2
c , . . ., 
n
c and b are constant. The constant c
i 
is called the 
coefficient of
i
x
. 
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FAQs on Lecture 6 - Systems of Linear Equation - Algebra- Engineering Maths - Engineering Mathematics

1. What is a system of linear equations?
Ans. A system of linear equations is a set of two or more equations with multiple variables. The goal is to find the values of the variables that satisfy all the equations simultaneously.
2. How can I solve a system of linear equations?
Ans. There are several methods to solve a system of linear equations, such as the substitution method, elimination method, and matrix method. These methods involve manipulating the equations to eliminate variables and find the values of the unknowns.
3. Can a system of linear equations have no solution?
Ans. Yes, a system of linear equations can have no solution. This occurs when the equations are inconsistent and do not intersect at any point. Geometrically, it represents parallel lines or planes that do not intersect.
4. Is it possible for a system of linear equations to have infinitely many solutions?
Ans. Yes, a system of linear equations can have infinitely many solutions. This happens when the equations are dependent and represent the same line or plane. Geometrically, it represents overlapping or coinciding lines or planes.
5. Are systems of linear equations used in engineering applications?
Ans. Yes, systems of linear equations are widely used in engineering applications. They are used to model and solve various problems, such as circuit analysis, structural analysis, control systems, optimization, and many more. The ability to solve systems of linear equations is essential in solving complex engineering problems.
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