Testing the consistency of non homogeneous
linear equations (two and three variables) by rank method.
Consider the equations A X= B in ‘n’
unknowns.
(i) If ρ ([A, B] )
= ρ ( A) , then the equations
are consistent.
(ii) If ρ[([A, B] )
= ρ ( A )= n , then the
equations are consistent and have unique solution.
(iii) If ρ ([ A, B] )
= ρ ( A ) < n , then the
equations are consistent and have infinitely many solutions.
(iv) If ρ ([A, B ])
≠ ρ ( A) then the equations are
inconsistent and has no solution.
Example 1.9
Show that the equations x + y =
5, 2x + y = 8 are consistent and
solve them.
Solution:
The matrix equation corresponding to the given system is
AX=B
Number of non-zero rows is 2.
ρ (A )= ρ ([ A, B]) = 2 = Number of unknowns.
The given system is consistent and has unique solution.
Now, the given system is transformed into
x + y = 5
y = 2
∴ (1) ⇒
x + 2 = 5
x = 3
Solution is x =
3, y = 2
Example 1.10
Show that the equations 2x + y =
5, 4x + 2 y = 10 are consistent and
solve them.
Solution:
The matrix equation corresponding to the system is
ρ ( A ) = ρ ([ A, B]) = 1 < number of unknowns
∴ The given system is
consistent and has infinitely many solutions.
Now, the given system is transformed into the matrix equation.
Let us take y = k, k ∈R
⇒ 2x + k = 5
x = 1/2 ( 5 − k)
x = 1/2 ( 5 − k) , y = k for all k ∈R
Thus by giving different values for k, we get different
solution. Hence the system has infinite number of solutions.
Example 1.11
Show that the equations 3x − 2 y =
6, 6x − 4 y = 10 are inconsistent.
Solution:
The matrix equation corresponding to the given system is
∴The given system is
inconsistent and has no solution.
Example 1.12
Show that the equations 2x + y +
z = 5, x + y + z = 4, x − y + 2z = 1 are consistent and
hence solve them.
Solution:
The matrix equation corresponding to the given system is
Obviously the last equivalent matrix is in the echelon form. It
has three non-zero
rows.
ρ( A ) = ρ( [A, B] )= 3 = Number of unknowns .
The given system is consistent and has unique solution.
To find the solution, let us rewrite the above echelon form into
the matrix form.
x + y + z = 4 (1)
y + z = 3 (2)
3z = 3 (3)
(3)⇒ z = 1
(2)⇒ y = 3 − z = 2
(1) ⇒ x = 4 − y − z
x=1
∴ x = 1, y = 2, z =
1
Example 1.13
Show that the equations x + y +
z = 6, x + 2 y + 3z = 14, x + 4 y + 7z = 30 are consistent and
solve them.
Solution:
The matrix equation corresponding to the given system is
Obviously the last equivalent matrix is in the echelon form. It
has two non-zero
rows.
∴ ρ ( [A, B] ) = 2, ρ ( A) = 2
ρ ( A ) = ρ ( [A, B] ) = 2 < Number of unknowns.
The given system is consistent and has infinitely many solutions.
The given system is equivalent to the matrix equation,
x + y + z = 6 (1)
y + 2z = 8 (2)
(2)⇒ y = 8 − 2z,
(1)⇒ x = 6 − y − z = 6 − (8 − 2 z) − z = z – 2
Let us take z =
k, k ∈R , we get x = k − 2, y = 8 − 2k , Thus by
giving different values for k we get different solutions. Hence the
given system has infinitely many solutions.
Example 1.14
Show that the equations x − 4 y +
7z = 14, 3x + 8 y − 2z = 13, 7x − 8 y + 26z = 5 are inconsistent.
Solution:
The matrix equation corresponding to the given system is
The last equivalent matrix is in the echelon form. [A, B]
has 3 non-zero rows and [A] has 2 non-zero rows.
The system is inconsistent and has no solution.
Example 1.15
Find k, if the equations x + 2 y − 3z = −2, 3x − y − 2z = 1, 2x + 3y − 5z = k are
consistent.
Solution:
The matrix equation corresponding to the given system is
For the equations to be consistent, ρ ( [A, B] ) = ρ ( A)= 2
∴21 + 7k = 0
7k = −21 .
k = −3
Example 1.16
Find k, if the equations x + y + z = 7, x + 2 y + 3z = 18, y + kz = 6 are inconsistent.
Solution:
The matrix equation corresponding to the given system is
For the equations to be inconsistent
ρ ( [A, B] ) ≠ ρ ( A)
It is possible if k −
2 = 0 .
K=2
Example 1.17
Investigate for what values of ‘a’ and ‘b’ the
following system of equations
x + y + z = 6, x + 2 y + 3z = 10, x + 2 y + az = b have
(i) no solution (ii) a
unique solution (iii) an infinite number of solutions.
Solution:
The matrix equation corresponding to the given system is
Case (i) For no solution:
The system possesses no solution only when ρ ( A )≠ ρ ([ A, B]) which is possible only
when a − 3 = 0 and b − 10 ≠ 0
Hence for a =
3, b ≠ 10 , the system
possesses no solution.
Case (ii) For a unique solution:
The system possesses a unique solution only when ρ ( A ) = ρ ([ A, B]) = number of unknowns.
i.e when ρ (
A ) = ρ ([ A, B]) = 3
Which is possible only when a − 3 ≠ 0 and b may be
any real number as we can observe .
Hence for a ≠
3 and b ∈R , the system possesses
a unique solution.
Case (iii) For an infinite number of solutions:
The system possesses an infinite number of solutions only when
ρ ( A )= ρ ([ A, B]) < number of unknowns
i,e when ρ ( A)=
ρ ([ A, B])= 2 < 3 ( number of unknowns)
which is possible only when a −
3 = 0, b − 10 = 0
Hence for a = 3, b =10, the system possesses
infinite number of solutions.
Example 1.18
The total number of units produced (P) is a linear function
of amount of over times in labour (in hours) (l), amount of additional
machine time (m) and fixed finishing time (a)
i.e, P = a + bl + cm
From the data given below, find the values of constants a, b
and c
Estimate the production when overtime in labour is 50 hrs and
additional machine time is 15 hrs.
Solution:
We have, P = a + bl + cm
Putting above values we have
6,950 = a + 40b + 10c
6,725 = a + 35b + 9c
7,100 = a + 40b + 12c
The Matrix equation corresponding to the given system is
∴ The given system is
equivalent to the matrix equation
∴ The production equation
is P = 5000 + 30l + 75m
Pat l
= 50, m=15 = 5000 + 30(50) + 75(15)
=7625 units.
∴The production = 7,625
units.
Related Topics
Privacy Policy, Terms and Conditions, DMCA Policy and Compliant
Copyright © 2018-2023 BrainKart.com; All Rights Reserved. Developed by Therithal info, Chennai.