Daffodil International University
Presentation on:
System of Linear Equation
Name: IMAMUL KADIR
ID: 162-15-7775
Department of CSE
Fundamentals
An Equation in which the power of each unknown is one(1) is called a linear
equation. In a course of linear algebra unknown are usually called variables.
Example:
2x - 5 = 0 (linear equation in 1 unknown/variable)
4p – 5q + 6r = -29 (linear equation in 3 unknown/variable)
12a + 23b - 4c – 10 = 2d – 9e (linear equation in 5 unknown/variable)
An example with value
Classification
By the nature of solutions, system of linear equations are classified as follows:
Systems of Linear Equations
Inconsistent Consistent
Unique Redundant
Finding Solutions
Theorem: A system of linear equation is consistent iff its augmented matrix and
coefficient matrix posses the same rank.
Example: If
3a – 4b + 5c = 0
2a + 2b – 3c = 1
7a – c =2
are the linear equation then the augmented matrix of this equation is :
3 -4 5 0 1 -6 8 -1
2 2 -3 1 ………… 0 14 -19 3
7 0 -1 2 0 0 0 0
rk (augmented matrix) = 2 = rk (coefficient matrix)
the SLE is consistent.
If the augmented matrix and coefficient matrix posses different rank than it will be
inconsistent.
The procedures used above can be summarized as follows:
Augmented matrix
Echelon form
RREF
Equivalent system
The summary of result of that equation can be abridged as follows:
SLE in n variables
rk(aug mat) ≠ rk(coeff mat)
Inconsistent
rk(aug mat) = rk(coeff mat)
Consistent
rk = n
=> Unique
rk < n
=> Redundant
Applications in real life
1. Planning an Event – An after-school party.
2. Finding Unknown Quantities – Like objects, body etc.
3. Other Applications - Figuring out which landscaper provides the best deal, how
much different cell phone providers charge per minute, or comparing
nutritional information in recipes.
THANK YOU!
System of linear equation - SLE

System of linear equation - SLE

  • 1.
  • 2.
    Name: IMAMUL KADIR ID:162-15-7775 Department of CSE
  • 3.
    Fundamentals An Equation inwhich the power of each unknown is one(1) is called a linear equation. In a course of linear algebra unknown are usually called variables. Example: 2x - 5 = 0 (linear equation in 1 unknown/variable) 4p – 5q + 6r = -29 (linear equation in 3 unknown/variable) 12a + 23b - 4c – 10 = 2d – 9e (linear equation in 5 unknown/variable)
  • 4.
  • 5.
    Classification By the natureof solutions, system of linear equations are classified as follows: Systems of Linear Equations Inconsistent Consistent Unique Redundant
  • 6.
    Finding Solutions Theorem: Asystem of linear equation is consistent iff its augmented matrix and coefficient matrix posses the same rank. Example: If 3a – 4b + 5c = 0 2a + 2b – 3c = 1 7a – c =2 are the linear equation then the augmented matrix of this equation is : 3 -4 5 0 1 -6 8 -1 2 2 -3 1 ………… 0 14 -19 3 7 0 -1 2 0 0 0 0 rk (augmented matrix) = 2 = rk (coefficient matrix) the SLE is consistent.
  • 7.
    If the augmentedmatrix and coefficient matrix posses different rank than it will be inconsistent. The procedures used above can be summarized as follows: Augmented matrix Echelon form RREF Equivalent system
  • 8.
    The summary ofresult of that equation can be abridged as follows: SLE in n variables rk(aug mat) ≠ rk(coeff mat) Inconsistent rk(aug mat) = rk(coeff mat) Consistent rk = n => Unique rk < n => Redundant
  • 9.
    Applications in reallife 1. Planning an Event – An after-school party. 2. Finding Unknown Quantities – Like objects, body etc. 3. Other Applications - Figuring out which landscaper provides the best deal, how much different cell phone providers charge per minute, or comparing nutritional information in recipes.
  • 10.