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Class: B.Sc CS.
Subject: Discrete Mathematics
Unit-5
RAI UNIVERSITY, AHMEDABAD
UNIT-V- Solution of System of Linear Equations
using Matrix
 Equivalent System of Linear Equations:
Two linear systems using the same set of variables are equivalent if each of
the equations in the second system can be derived algebraically from the
equations in the first system, and vice-versa.
OR
Two systems are equivalent if either both are inconsistent or each equation of
any of them is a linear combination of the equations of the other one.
OR
Two linear systems are equivalent if and only if they have the same solution
set.
 Example-1.Prove that following system of linear equations (1) is
equivalent to (2).
(1) 𝒙 + πŸ’π’š = βˆ’πŸπŸŽ , πŸ‘π’™ βˆ’ π’š = πŸ—
(2) πŸ’π’™ + πŸ‘π’š = βˆ’πŸ, βˆ’πŸπ’™ + πŸ“π’š = βˆ’πŸπŸ—
Solution:
Here we have
οƒ˜ π‘₯ + 4𝑦 = βˆ’10 ………………………………………………………(1)
3π‘₯ βˆ’ 𝑦 = 9 ……………………………………………………………(2)
οƒ˜ Multiply equation (2) by 4 and add in to (1) we get
π‘₯ + 4𝑦 = βˆ’10
12π‘₯ βˆ’ 4𝑦 = 36
_______________________
13π‘₯ = 26
∴ π‘₯ = 2
οƒ˜ Put π‘₯ = 2 in equation (1) we get 2 + 4𝑦 = βˆ’10
∴ 4𝑦 = βˆ’12 ⟹ 𝑦 = βˆ’3
οƒ˜ Hence we get solution set (π‘₯, 𝑦) = (2, βˆ’3)for system of linear equations
(1). Now we have to check for System (2) .
οƒ˜ Here we have,
4π‘₯ + 3𝑦 = βˆ’1……………………………………………………… (1)
βˆ’2π‘₯ + 5𝑦 = βˆ’19 …………………………………………………... (2)
οƒ˜ Multiply equation (2) by 2 and add in to (1) we get
4π‘₯ + 3𝑦 = βˆ’1
βˆ’4π‘₯ + 10𝑦 = βˆ’38
_______________________
13𝑦 = βˆ’39
∴ 𝑦 = βˆ’3
οƒ˜ Now put 𝑦 = βˆ’3in equation (1) we get 4π‘₯ βˆ’ 9 = βˆ’1
⟹ 4π‘₯ = 8
⟹ π‘₯ = 2
οƒ˜ Hence we get solution set (2,-3) for system of linear equations (2)
οƒ˜ ∴ Both systems have same solution therefore we can say that system (1)
is equivalent to system (2).
 Homogeneous Systemof linear Equations:
A system of linear equations is homogeneous if all of the constant terms are
zero:
A homogeneous system is equivalent to a matrix equation of the form AX=0
Where A is an m Γ— n matrix, x is a column vector with n entries, and 0 is the
zero vectors with m entries.
For a system of homogeneous linear equations 𝐴𝑋 = 0.
1) 𝑋 = 0 is always a solution. This solution in which each unknown has
the value zero is called the Null solution or the trivial solution. Thus a
homogeneous system is always consistent. (i.e it has solution)
2) A system of homogeneous linear equations has either the trivial
solution or an infinite number of solutions.
3) If 𝑅( 𝐴) = number of unknowns, the system has only the trivial
solution.
4) If 𝑅(𝐴) < number of unknowns, the system has an infinite number of
non –trivial solutions.
 Example-1. Determine β€˜b’ such that the system of homogeneous
equations
πŸπ’™ + π’š + πŸπ’› = 𝟎
𝒙 + π’š + πŸ‘π’› = 𝟎
πŸ’π’™ + πŸ‘π’š + 𝒃𝒛 = 𝟎
Has (i) trivial solution
(ii) Non-trivial solution.
Find the Non–Trivial solution using matrix method.
Solution:
A systemof homogeneous linear equations
AX=0
Always has a solution
If R(A) equal to n
Unique or trivial solution
If R(A) less than n
Infiniteno. of non trivial
solution
οƒ˜ Here we have,
2π‘₯ + 𝑦 + 2𝑧 = 0
π‘₯ + 𝑦 + 3𝑧 = 0
4π‘₯ + 3𝑦 + 𝑏𝑧 = 0
οƒ˜ (i) For trivial Solution: We know that π‘₯ = 0, 𝑦 = 0 π‘Žπ‘›π‘‘ 𝑧 = 0. So, b
can have any value.
οƒ˜ (ii) For non trivial Solution: The given equations are written in the
matrix form as
οƒ˜ [
2 1 2
1 1 3
4 3 𝑏
][
π‘₯
𝑦
𝑧
] = [
0
0
0
]
οƒ˜ [
1 1 3
2 1 2
4 3 𝑏
][
π‘₯
𝑦
𝑧
] = [
0
0
0
] 𝑅1 ↔ 𝑅2
οƒ˜ [
1 1 3
0 βˆ’1 βˆ’4
0 βˆ’1 𝑏 βˆ’ 12
][
π‘₯
𝑦
𝑧
] = [
0
0
0
] 𝑅2 β†’ 𝑅2 βˆ’ 2𝑅1,𝑅3 β†’ 𝑅3 βˆ’ 4𝑅1
οƒ˜ [
1 1 3
0 βˆ’1 βˆ’4
0 0 𝑏 βˆ’ 8
][
π‘₯
𝑦
𝑧
] = [
0
0
0
] 𝑅3 β†’ 𝑅3 βˆ’ 𝑅2
οƒ˜ For non trivial solution Infinite solutions =𝑅( 𝐴) = 2 < Number of
unknowns
𝑏 βˆ’ 8 = 0 ∴ 𝑏 = 8
 Example-2. Solve the homogeneous linearsystem of equations:
𝒙 𝟏 + πŸ‘π’™ 𝟐 + 𝒙 πŸ’ = 𝟎
𝒙 𝟏 + πŸ’π’™ 𝟐 + πŸπ’™ πŸ‘ = 𝟎
βˆ’πŸπ’™ 𝟐 βˆ’ πŸπ’™ πŸ‘ βˆ’ 𝒙 πŸ’ = 𝟎
πŸπ’™ 𝟏 βˆ’ πŸ’π’™ 𝟐 + 𝒙 πŸ‘ + 𝒙 πŸ’ = 𝟎
𝒙 𝟏 βˆ’ πŸπ’™ 𝟐 βˆ’ 𝒙 πŸ‘ + 𝒙 πŸ’ = 𝟎
Solution:
οƒ˜ We have given system of equation
π‘₯1 + 3π‘₯2 + π‘₯4 = 0
π‘₯1 + 4π‘₯2 + 2π‘₯3 = 0
βˆ’2π‘₯2 βˆ’ 2π‘₯3 βˆ’ π‘₯4 = 0
2π‘₯1 βˆ’ 4π‘₯2 + π‘₯3 + π‘₯4 = 0
π‘₯1 βˆ’ 2π‘₯2 βˆ’ π‘₯3 + π‘₯4 = 0
οƒ˜ We can write this equation in the matrix form as
[
1 3 0
1 4 2
0
2
1
βˆ’2
βˆ’4
βˆ’2
βˆ’2
1
βˆ’1
1
0
βˆ’1
1
1 ]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
οƒ˜ ~
[
1 3 0
0 1 2
0
0
0
βˆ’2
βˆ’10
βˆ’5
βˆ’2
1
βˆ’1
1
βˆ’1
βˆ’1
βˆ’1
0 ]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
{(βˆ’1) 𝑅1 + 𝑅2, (βˆ’2) 𝑅1 + 𝑅4, (βˆ’1) 𝑅1 + 𝑅5}
οƒ˜ ~
[
1 3 0
0 1 2
0
0
0
0
0
0
2
21
9
1
βˆ’1
βˆ’3
βˆ’11
βˆ’5 ]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
{2𝑅2 + 𝑅3, 10𝑅2 + 𝑅4, 5𝑅2 + 𝑅5}
οƒ˜ ~
[
1 3 0
0 1 2
0
0
0
0
0
0
1
21
9
1
βˆ’1
βˆ’3/2
βˆ’11
βˆ’5 ]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
𝑅3 (
1
2
)
οƒ˜ ~
[
1 3 0
0 1 2
0
0
0
0
0
0
1
0
0
1
βˆ’1
βˆ’3/2
βˆ’85/2
βˆ’37/2]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
(βˆ’21) 𝑅3 + 𝑅4,(βˆ’9) 𝑅3 + 𝑅5
οƒ˜ ~
[
1 3 0
0 1 2
0
0
0
0
0
0
1
0
0
1
βˆ’1
βˆ’3/2
1
βˆ’37/2]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
𝑅4 (βˆ’
2
85
)
οƒ˜ ~
[
1 3 0
0 1 2
0
0
0
0
0
0
1
0
0
1
βˆ’1
βˆ’3/2
1
0 ]
[
π‘₯1
π‘₯2
π‘₯3
π‘₯4
] =
[
0
0
0
0
0]
𝑅4 (
37
2
) + 𝑅5
∴ π‘₯1 + 3π‘₯2 + π‘₯4 = 0 …………………………………….(1)
π‘₯2 + 2π‘₯3 βˆ’ π‘₯4 = 0 ……………………………………. (2)
π‘₯3 βˆ’
3
2
π‘₯4 = 0 …………………………………… (3)
π‘₯4 = 0 ... ………………………………………. (4)
οƒ˜ Since π‘₯4 = 0 from equation (3) we get π‘₯3 = 0.
οƒ˜ Since π‘₯3 = 0, π‘₯4 = 0 from equation (2) we get π‘₯2 = 0
οƒ˜ Since π‘₯2 = 0, π‘₯4 = 0 from equation (1) we get π‘₯1 = 0.
οƒ˜ Hence π‘₯1 = 0, π‘₯2 = 0, π‘₯3 = 0, π‘₯4 = 0
οƒ˜ i.e. system has only a trivial solution.
 Non Homogeneous Systemof Linear equations and its Solution:
οƒ˜ The vector equation is equivalent to a matrix equation of the form
οƒ˜
οƒ˜ Where A is an mΓ—n matrix, x is a column vector with n entries, and b is
a column vector with m entries.
οƒ˜ The above system of equations AX=b is known as non homogeneous
system of equations.
οƒ˜ Here C=[A/B] is Augmented matrix
 Example-1. Show that the non Homogeneous systemof linear equation
are not consistant.
πŸπ’™ + πŸ”π’š = βˆ’πŸπŸ
πŸ”π’™ + πŸπŸŽπ’š βˆ’ πŸ”π’› = βˆ’πŸ‘
πŸ”π’š βˆ’ πŸπŸ–π’› = βˆ’πŸ
Solution:
A system of non-homogeneous linear equations
AX=B
if R(A)=R(C)
solution exists
systemis consistant
if R(A)=R(C)=n
systemhas unique
solution
if R(A)=R(C) less than n
InfiniteSolution
if R(A)# R(C)
solution does not exist
systemis inconsistant
οƒ˜ In the matrix form 𝐴𝑋 = 𝐡 we can write
[
2 6 0
6 20 βˆ’6
0 6 βˆ’18
] [
π‘₯
𝑦
𝑧
] = [
βˆ’11
βˆ’3
βˆ’1
]
οƒ˜ ~ [
2 6 0
0 2 βˆ’6
0 6 βˆ’18
] [
π‘₯
𝑦
𝑧
] = [
βˆ’11
30
βˆ’1
] (βˆ’3) 𝑅1 + 𝑅2
οƒ˜ ~ [
2 6 0
0 2 βˆ’6
0 0 0
] [
π‘₯
𝑦
𝑧
] = [
βˆ’11
30
βˆ’91
] (βˆ’3) 𝑅2 + 𝑅3
οƒ˜ ∴ Rank of C = 3 and Rank of A=2
οƒ˜ Here, ( Rank of C = 3) β‰  (Rank of A=2)
οƒ˜ ∴ System has no solution that means system is inconsistent.
 Example-2. Testfor consistencythe following system of equations and if
consistentthen solve them
𝒙 𝟏 + πŸπ’™ 𝟐 βˆ’ 𝒙 πŸ‘ = πŸ‘
πŸ‘π’™ 𝟏 βˆ’ 𝒙 𝟐 + πŸπ’™ πŸ‘ = 𝟏
πŸπ’™ 𝟏 βˆ’ πŸπ’™ 𝟐 + πŸ‘π’™ πŸ‘ = 𝟐
𝒙 𝟏 βˆ’ 𝒙 𝟐 + 𝒙 πŸ‘ = βˆ’πŸ
Solution:
οƒ˜ We have given system of solution
π‘₯1 + 2π‘₯2 βˆ’ π‘₯3 = 3
3π‘₯1 βˆ’ π‘₯2 + 2π‘₯3 = 1
2π‘₯1 βˆ’ 2π‘₯2 + 3π‘₯3 = 2
π‘₯1 βˆ’ π‘₯2 + π‘₯3 = βˆ’1
οƒ˜ The System of equation can be written in matrix form as
[
1 2 βˆ’1
3 βˆ’1 2
2
1
βˆ’2
βˆ’1
3
1
][
π‘₯1
π‘₯2
π‘₯3
] = [
3
1
2
βˆ’1
]
οƒ˜ ~[
1 2 βˆ’1
0 βˆ’7 5
0
0
βˆ’6
βˆ’3
5
2
][
π‘₯1
π‘₯2
π‘₯3
] = [
3
βˆ’8
βˆ’4
βˆ’4
]
(βˆ’3) 𝑅1 + 𝑅2, (βˆ’2) 𝑅1 + 𝑅3, (βˆ’1) 𝑅1 + 𝑅4
οƒ˜ ~[
1 2 βˆ’1
0 βˆ’7 5
0
0
0
0
5/7
βˆ’1/7
][
π‘₯1
π‘₯2
π‘₯3
] = [
3
βˆ’8
20/7
βˆ’4/7
] βˆ’
6
7
𝑅2 + 𝑅3 , βˆ’
3
7
𝑅2 + 𝑅4
οƒ˜ ~[
1 2 βˆ’1
0 βˆ’7 5
0
0
0
0
5/7
0
][
π‘₯1
π‘₯2
π‘₯3
] = [
3
βˆ’8
20/7
0
]
1
5
𝑅3 + 𝑅4
……………………….(1)
οƒ˜ ∴ Rank of C=3
οƒ˜ Rank of A=3
οƒ˜ Hence 𝑅( 𝐴) = 𝑅( 𝐢) = 3
οƒ˜ ∴ System is consistant.
οƒ˜ Also rank = no. of variable (n) = 3
οƒ˜ ∴ System has unique solution.
οƒ˜ Now we can write equation (1) as
οƒ˜ ~[
1 2 βˆ’1
0 βˆ’7 5
0 0 5/7
][
π‘₯1
π‘₯2
π‘₯3
] = [
3
βˆ’8
20/7
]
οƒ˜ ∴ π‘₯1 + 2π‘₯2 βˆ’ π‘₯3 = 3 ……………………………………. (2)
βˆ’7π‘₯2 + 5π‘₯3 = βˆ’8 ……………………………………. (3)
5
7
π‘₯3 =
20
7
…………………………………… (4)
οƒ˜ From equation (4) we get π‘₯3 = 4
οƒ˜ Put π‘₯3 = 4 in (3) we get, βˆ’7π‘₯2 + 5(4) = βˆ’8
∴ βˆ’7π‘₯2 = βˆ’28 ⟹ π‘₯2 = 4
οƒ˜ Put π‘₯3 = 4 and π‘₯2 = 4 in (2) we get, π‘₯1 + 2(4) βˆ’ 4 = 3
∴ π‘₯1 + 4 = 3
⟹ π‘₯1 = βˆ’1
οƒ˜ Hence π‘₯1 = βˆ’1, π‘₯2 = 4, π‘₯3 = 4.
 Reference BookandWebsite Name:
1. Introduction to Engineering Mathematics-1 by H.K. Dass and Dr.Rama
Verma. (S.Chand)
2. A Textbookof Engineering mathematics by N.P.Bali and Dr.Manish
goyal
3. http://en.wikipedia.org/wiki/System_of_linear_equations
4. http://www.mathwords.com/e/equivalent_system_of_equations.htm
5. http://en.wikipedia.org/wiki/System_of_linear_equations
EXERCISE-5
Q-1.Evaluate the following questions:
1. Solve the system of homogeneous equation
π‘₯1 + 3π‘₯2 + 2π‘₯3 = 0
2π‘₯1 βˆ’ π‘₯2 + 3π‘₯3 = 0
3π‘₯1 βˆ’ 5π‘₯2 + 4π‘₯3 = 0
π‘₯1 + 17π‘₯2 + 4π‘₯3 = 0
2. Solve the following System of homogeneous equation
5π‘₯ + 2𝑦 βˆ’ 3𝑧 = 0
3π‘₯ + 𝑦 + 𝑧 = 0
2π‘₯ + 𝑦 + 6𝑧 = 0
3. Check that the following system of equations is equivalent or not?
(a) π‘₯ βˆ’ 6𝑦 = βˆ’8 ,
π‘₯
2
βˆ’ 3𝑦 = βˆ’4
(b)3π‘₯ + 7𝑦 = 15,5π‘₯ + 2𝑦 = βˆ’4
Q.2 Evaluate the following questions:
1. Discuss the consistency of the following system of equations if it is
consistant then find its solution:
2π‘₯ + 3𝑦 + 4𝑧 = 11
π‘₯ + 5𝑦 + 7𝑧 = 15
3π‘₯ + 11𝑦 + 13𝑧 = 25
2. Test for the consistency of the following system of equations
π‘₯1 + 2π‘₯2 + 3π‘₯3 + 4π‘₯4 = 5
6π‘₯1 + 7π‘₯2 + 8π‘₯3 + 9π‘₯4 = 10
11π‘₯1 + 12π‘₯2 + 13π‘₯3 + 14π‘₯4 = 15
16π‘₯1 + 17π‘₯2 + 18π‘₯3 + 19π‘₯4 = 20
21π‘₯1 + 22π‘₯2 + 23π‘₯3 + 24π‘₯4 = 25
3. Test the consistency of the following equations and solve them if possible.
3π‘₯ + 3𝑦 + 3𝑧 = 1
π‘₯ + 2𝑦 = 4
10𝑦 + 3𝑧 = βˆ’2
2π‘₯ βˆ’ 3𝑦 βˆ’ 𝑧 = 5

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BSC_COMPUTER _SCIENCE_UNIT-5_DISCRETE MATHEMATICS

  • 1. Class: B.Sc CS. Subject: Discrete Mathematics Unit-5 RAI UNIVERSITY, AHMEDABAD
  • 2. UNIT-V- Solution of System of Linear Equations using Matrix  Equivalent System of Linear Equations: Two linear systems using the same set of variables are equivalent if each of the equations in the second system can be derived algebraically from the equations in the first system, and vice-versa. OR Two systems are equivalent if either both are inconsistent or each equation of any of them is a linear combination of the equations of the other one. OR Two linear systems are equivalent if and only if they have the same solution set.  Example-1.Prove that following system of linear equations (1) is equivalent to (2). (1) 𝒙 + πŸ’π’š = βˆ’πŸπŸŽ , πŸ‘π’™ βˆ’ π’š = πŸ— (2) πŸ’π’™ + πŸ‘π’š = βˆ’πŸ, βˆ’πŸπ’™ + πŸ“π’š = βˆ’πŸπŸ—
  • 3. Solution: Here we have οƒ˜ π‘₯ + 4𝑦 = βˆ’10 ………………………………………………………(1) 3π‘₯ βˆ’ 𝑦 = 9 ……………………………………………………………(2) οƒ˜ Multiply equation (2) by 4 and add in to (1) we get π‘₯ + 4𝑦 = βˆ’10 12π‘₯ βˆ’ 4𝑦 = 36 _______________________ 13π‘₯ = 26 ∴ π‘₯ = 2 οƒ˜ Put π‘₯ = 2 in equation (1) we get 2 + 4𝑦 = βˆ’10 ∴ 4𝑦 = βˆ’12 ⟹ 𝑦 = βˆ’3 οƒ˜ Hence we get solution set (π‘₯, 𝑦) = (2, βˆ’3)for system of linear equations (1). Now we have to check for System (2) . οƒ˜ Here we have, 4π‘₯ + 3𝑦 = βˆ’1……………………………………………………… (1) βˆ’2π‘₯ + 5𝑦 = βˆ’19 …………………………………………………... (2) οƒ˜ Multiply equation (2) by 2 and add in to (1) we get 4π‘₯ + 3𝑦 = βˆ’1 βˆ’4π‘₯ + 10𝑦 = βˆ’38 _______________________ 13𝑦 = βˆ’39
  • 4. ∴ 𝑦 = βˆ’3 οƒ˜ Now put 𝑦 = βˆ’3in equation (1) we get 4π‘₯ βˆ’ 9 = βˆ’1 ⟹ 4π‘₯ = 8 ⟹ π‘₯ = 2 οƒ˜ Hence we get solution set (2,-3) for system of linear equations (2) οƒ˜ ∴ Both systems have same solution therefore we can say that system (1) is equivalent to system (2).  Homogeneous Systemof linear Equations: A system of linear equations is homogeneous if all of the constant terms are zero: A homogeneous system is equivalent to a matrix equation of the form AX=0 Where A is an m Γ— n matrix, x is a column vector with n entries, and 0 is the zero vectors with m entries. For a system of homogeneous linear equations 𝐴𝑋 = 0. 1) 𝑋 = 0 is always a solution. This solution in which each unknown has the value zero is called the Null solution or the trivial solution. Thus a homogeneous system is always consistent. (i.e it has solution) 2) A system of homogeneous linear equations has either the trivial solution or an infinite number of solutions.
  • 5. 3) If 𝑅( 𝐴) = number of unknowns, the system has only the trivial solution. 4) If 𝑅(𝐴) < number of unknowns, the system has an infinite number of non –trivial solutions.  Example-1. Determine β€˜b’ such that the system of homogeneous equations πŸπ’™ + π’š + πŸπ’› = 𝟎 𝒙 + π’š + πŸ‘π’› = 𝟎 πŸ’π’™ + πŸ‘π’š + 𝒃𝒛 = 𝟎 Has (i) trivial solution (ii) Non-trivial solution. Find the Non–Trivial solution using matrix method. Solution: A systemof homogeneous linear equations AX=0 Always has a solution If R(A) equal to n Unique or trivial solution If R(A) less than n Infiniteno. of non trivial solution
  • 6. οƒ˜ Here we have, 2π‘₯ + 𝑦 + 2𝑧 = 0 π‘₯ + 𝑦 + 3𝑧 = 0 4π‘₯ + 3𝑦 + 𝑏𝑧 = 0 οƒ˜ (i) For trivial Solution: We know that π‘₯ = 0, 𝑦 = 0 π‘Žπ‘›π‘‘ 𝑧 = 0. So, b can have any value. οƒ˜ (ii) For non trivial Solution: The given equations are written in the matrix form as οƒ˜ [ 2 1 2 1 1 3 4 3 𝑏 ][ π‘₯ 𝑦 𝑧 ] = [ 0 0 0 ] οƒ˜ [ 1 1 3 2 1 2 4 3 𝑏 ][ π‘₯ 𝑦 𝑧 ] = [ 0 0 0 ] 𝑅1 ↔ 𝑅2 οƒ˜ [ 1 1 3 0 βˆ’1 βˆ’4 0 βˆ’1 𝑏 βˆ’ 12 ][ π‘₯ 𝑦 𝑧 ] = [ 0 0 0 ] 𝑅2 β†’ 𝑅2 βˆ’ 2𝑅1,𝑅3 β†’ 𝑅3 βˆ’ 4𝑅1 οƒ˜ [ 1 1 3 0 βˆ’1 βˆ’4 0 0 𝑏 βˆ’ 8 ][ π‘₯ 𝑦 𝑧 ] = [ 0 0 0 ] 𝑅3 β†’ 𝑅3 βˆ’ 𝑅2 οƒ˜ For non trivial solution Infinite solutions =𝑅( 𝐴) = 2 < Number of unknowns 𝑏 βˆ’ 8 = 0 ∴ 𝑏 = 8  Example-2. Solve the homogeneous linearsystem of equations: 𝒙 𝟏 + πŸ‘π’™ 𝟐 + 𝒙 πŸ’ = 𝟎 𝒙 𝟏 + πŸ’π’™ 𝟐 + πŸπ’™ πŸ‘ = 𝟎 βˆ’πŸπ’™ 𝟐 βˆ’ πŸπ’™ πŸ‘ βˆ’ 𝒙 πŸ’ = 𝟎 πŸπ’™ 𝟏 βˆ’ πŸ’π’™ 𝟐 + 𝒙 πŸ‘ + 𝒙 πŸ’ = 𝟎 𝒙 𝟏 βˆ’ πŸπ’™ 𝟐 βˆ’ 𝒙 πŸ‘ + 𝒙 πŸ’ = 𝟎 Solution:
  • 7. οƒ˜ We have given system of equation π‘₯1 + 3π‘₯2 + π‘₯4 = 0 π‘₯1 + 4π‘₯2 + 2π‘₯3 = 0 βˆ’2π‘₯2 βˆ’ 2π‘₯3 βˆ’ π‘₯4 = 0 2π‘₯1 βˆ’ 4π‘₯2 + π‘₯3 + π‘₯4 = 0 π‘₯1 βˆ’ 2π‘₯2 βˆ’ π‘₯3 + π‘₯4 = 0 οƒ˜ We can write this equation in the matrix form as [ 1 3 0 1 4 2 0 2 1 βˆ’2 βˆ’4 βˆ’2 βˆ’2 1 βˆ’1 1 0 βˆ’1 1 1 ] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] οƒ˜ ~ [ 1 3 0 0 1 2 0 0 0 βˆ’2 βˆ’10 βˆ’5 βˆ’2 1 βˆ’1 1 βˆ’1 βˆ’1 βˆ’1 0 ] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] {(βˆ’1) 𝑅1 + 𝑅2, (βˆ’2) 𝑅1 + 𝑅4, (βˆ’1) 𝑅1 + 𝑅5} οƒ˜ ~ [ 1 3 0 0 1 2 0 0 0 0 0 0 2 21 9 1 βˆ’1 βˆ’3 βˆ’11 βˆ’5 ] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] {2𝑅2 + 𝑅3, 10𝑅2 + 𝑅4, 5𝑅2 + 𝑅5} οƒ˜ ~ [ 1 3 0 0 1 2 0 0 0 0 0 0 1 21 9 1 βˆ’1 βˆ’3/2 βˆ’11 βˆ’5 ] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] 𝑅3 ( 1 2 ) οƒ˜ ~ [ 1 3 0 0 1 2 0 0 0 0 0 0 1 0 0 1 βˆ’1 βˆ’3/2 βˆ’85/2 βˆ’37/2] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] (βˆ’21) 𝑅3 + 𝑅4,(βˆ’9) 𝑅3 + 𝑅5
  • 8. οƒ˜ ~ [ 1 3 0 0 1 2 0 0 0 0 0 0 1 0 0 1 βˆ’1 βˆ’3/2 1 βˆ’37/2] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] 𝑅4 (βˆ’ 2 85 ) οƒ˜ ~ [ 1 3 0 0 1 2 0 0 0 0 0 0 1 0 0 1 βˆ’1 βˆ’3/2 1 0 ] [ π‘₯1 π‘₯2 π‘₯3 π‘₯4 ] = [ 0 0 0 0 0] 𝑅4 ( 37 2 ) + 𝑅5 ∴ π‘₯1 + 3π‘₯2 + π‘₯4 = 0 …………………………………….(1) π‘₯2 + 2π‘₯3 βˆ’ π‘₯4 = 0 ……………………………………. (2) π‘₯3 βˆ’ 3 2 π‘₯4 = 0 …………………………………… (3) π‘₯4 = 0 ... ………………………………………. (4) οƒ˜ Since π‘₯4 = 0 from equation (3) we get π‘₯3 = 0. οƒ˜ Since π‘₯3 = 0, π‘₯4 = 0 from equation (2) we get π‘₯2 = 0 οƒ˜ Since π‘₯2 = 0, π‘₯4 = 0 from equation (1) we get π‘₯1 = 0. οƒ˜ Hence π‘₯1 = 0, π‘₯2 = 0, π‘₯3 = 0, π‘₯4 = 0 οƒ˜ i.e. system has only a trivial solution.  Non Homogeneous Systemof Linear equations and its Solution: οƒ˜ The vector equation is equivalent to a matrix equation of the form οƒ˜
  • 9. οƒ˜ Where A is an mΓ—n matrix, x is a column vector with n entries, and b is a column vector with m entries. οƒ˜ The above system of equations AX=b is known as non homogeneous system of equations. οƒ˜ Here C=[A/B] is Augmented matrix  Example-1. Show that the non Homogeneous systemof linear equation are not consistant. πŸπ’™ + πŸ”π’š = βˆ’πŸπŸ πŸ”π’™ + πŸπŸŽπ’š βˆ’ πŸ”π’› = βˆ’πŸ‘ πŸ”π’š βˆ’ πŸπŸ–π’› = βˆ’πŸ Solution: A system of non-homogeneous linear equations AX=B if R(A)=R(C) solution exists systemis consistant if R(A)=R(C)=n systemhas unique solution if R(A)=R(C) less than n InfiniteSolution if R(A)# R(C) solution does not exist systemis inconsistant
  • 10. οƒ˜ In the matrix form 𝐴𝑋 = 𝐡 we can write [ 2 6 0 6 20 βˆ’6 0 6 βˆ’18 ] [ π‘₯ 𝑦 𝑧 ] = [ βˆ’11 βˆ’3 βˆ’1 ] οƒ˜ ~ [ 2 6 0 0 2 βˆ’6 0 6 βˆ’18 ] [ π‘₯ 𝑦 𝑧 ] = [ βˆ’11 30 βˆ’1 ] (βˆ’3) 𝑅1 + 𝑅2 οƒ˜ ~ [ 2 6 0 0 2 βˆ’6 0 0 0 ] [ π‘₯ 𝑦 𝑧 ] = [ βˆ’11 30 βˆ’91 ] (βˆ’3) 𝑅2 + 𝑅3 οƒ˜ ∴ Rank of C = 3 and Rank of A=2 οƒ˜ Here, ( Rank of C = 3) β‰  (Rank of A=2) οƒ˜ ∴ System has no solution that means system is inconsistent.  Example-2. Testfor consistencythe following system of equations and if consistentthen solve them 𝒙 𝟏 + πŸπ’™ 𝟐 βˆ’ 𝒙 πŸ‘ = πŸ‘ πŸ‘π’™ 𝟏 βˆ’ 𝒙 𝟐 + πŸπ’™ πŸ‘ = 𝟏 πŸπ’™ 𝟏 βˆ’ πŸπ’™ 𝟐 + πŸ‘π’™ πŸ‘ = 𝟐 𝒙 𝟏 βˆ’ 𝒙 𝟐 + 𝒙 πŸ‘ = βˆ’πŸ Solution: οƒ˜ We have given system of solution π‘₯1 + 2π‘₯2 βˆ’ π‘₯3 = 3 3π‘₯1 βˆ’ π‘₯2 + 2π‘₯3 = 1 2π‘₯1 βˆ’ 2π‘₯2 + 3π‘₯3 = 2 π‘₯1 βˆ’ π‘₯2 + π‘₯3 = βˆ’1 οƒ˜ The System of equation can be written in matrix form as
  • 11. [ 1 2 βˆ’1 3 βˆ’1 2 2 1 βˆ’2 βˆ’1 3 1 ][ π‘₯1 π‘₯2 π‘₯3 ] = [ 3 1 2 βˆ’1 ] οƒ˜ ~[ 1 2 βˆ’1 0 βˆ’7 5 0 0 βˆ’6 βˆ’3 5 2 ][ π‘₯1 π‘₯2 π‘₯3 ] = [ 3 βˆ’8 βˆ’4 βˆ’4 ] (βˆ’3) 𝑅1 + 𝑅2, (βˆ’2) 𝑅1 + 𝑅3, (βˆ’1) 𝑅1 + 𝑅4 οƒ˜ ~[ 1 2 βˆ’1 0 βˆ’7 5 0 0 0 0 5/7 βˆ’1/7 ][ π‘₯1 π‘₯2 π‘₯3 ] = [ 3 βˆ’8 20/7 βˆ’4/7 ] βˆ’ 6 7 𝑅2 + 𝑅3 , βˆ’ 3 7 𝑅2 + 𝑅4 οƒ˜ ~[ 1 2 βˆ’1 0 βˆ’7 5 0 0 0 0 5/7 0 ][ π‘₯1 π‘₯2 π‘₯3 ] = [ 3 βˆ’8 20/7 0 ] 1 5 𝑅3 + 𝑅4 ……………………….(1) οƒ˜ ∴ Rank of C=3 οƒ˜ Rank of A=3 οƒ˜ Hence 𝑅( 𝐴) = 𝑅( 𝐢) = 3 οƒ˜ ∴ System is consistant. οƒ˜ Also rank = no. of variable (n) = 3 οƒ˜ ∴ System has unique solution. οƒ˜ Now we can write equation (1) as οƒ˜ ~[ 1 2 βˆ’1 0 βˆ’7 5 0 0 5/7 ][ π‘₯1 π‘₯2 π‘₯3 ] = [ 3 βˆ’8 20/7 ] οƒ˜ ∴ π‘₯1 + 2π‘₯2 βˆ’ π‘₯3 = 3 ……………………………………. (2) βˆ’7π‘₯2 + 5π‘₯3 = βˆ’8 ……………………………………. (3) 5 7 π‘₯3 = 20 7 …………………………………… (4)
  • 12. οƒ˜ From equation (4) we get π‘₯3 = 4 οƒ˜ Put π‘₯3 = 4 in (3) we get, βˆ’7π‘₯2 + 5(4) = βˆ’8 ∴ βˆ’7π‘₯2 = βˆ’28 ⟹ π‘₯2 = 4 οƒ˜ Put π‘₯3 = 4 and π‘₯2 = 4 in (2) we get, π‘₯1 + 2(4) βˆ’ 4 = 3 ∴ π‘₯1 + 4 = 3 ⟹ π‘₯1 = βˆ’1 οƒ˜ Hence π‘₯1 = βˆ’1, π‘₯2 = 4, π‘₯3 = 4.  Reference BookandWebsite Name: 1. Introduction to Engineering Mathematics-1 by H.K. Dass and Dr.Rama Verma. (S.Chand) 2. A Textbookof Engineering mathematics by N.P.Bali and Dr.Manish goyal 3. http://en.wikipedia.org/wiki/System_of_linear_equations 4. http://www.mathwords.com/e/equivalent_system_of_equations.htm 5. http://en.wikipedia.org/wiki/System_of_linear_equations
  • 13. EXERCISE-5 Q-1.Evaluate the following questions: 1. Solve the system of homogeneous equation π‘₯1 + 3π‘₯2 + 2π‘₯3 = 0 2π‘₯1 βˆ’ π‘₯2 + 3π‘₯3 = 0 3π‘₯1 βˆ’ 5π‘₯2 + 4π‘₯3 = 0 π‘₯1 + 17π‘₯2 + 4π‘₯3 = 0 2. Solve the following System of homogeneous equation 5π‘₯ + 2𝑦 βˆ’ 3𝑧 = 0 3π‘₯ + 𝑦 + 𝑧 = 0 2π‘₯ + 𝑦 + 6𝑧 = 0 3. Check that the following system of equations is equivalent or not? (a) π‘₯ βˆ’ 6𝑦 = βˆ’8 , π‘₯ 2 βˆ’ 3𝑦 = βˆ’4 (b)3π‘₯ + 7𝑦 = 15,5π‘₯ + 2𝑦 = βˆ’4 Q.2 Evaluate the following questions: 1. Discuss the consistency of the following system of equations if it is consistant then find its solution: 2π‘₯ + 3𝑦 + 4𝑧 = 11 π‘₯ + 5𝑦 + 7𝑧 = 15 3π‘₯ + 11𝑦 + 13𝑧 = 25 2. Test for the consistency of the following system of equations π‘₯1 + 2π‘₯2 + 3π‘₯3 + 4π‘₯4 = 5 6π‘₯1 + 7π‘₯2 + 8π‘₯3 + 9π‘₯4 = 10
  • 14. 11π‘₯1 + 12π‘₯2 + 13π‘₯3 + 14π‘₯4 = 15 16π‘₯1 + 17π‘₯2 + 18π‘₯3 + 19π‘₯4 = 20 21π‘₯1 + 22π‘₯2 + 23π‘₯3 + 24π‘₯4 = 25 3. Test the consistency of the following equations and solve them if possible. 3π‘₯ + 3𝑦 + 3𝑧 = 1 π‘₯ + 2𝑦 = 4 10𝑦 + 3𝑧 = βˆ’2 2π‘₯ βˆ’ 3𝑦 βˆ’ 𝑧 = 5