Linear equation A linear equation is an algebraic equation in which each term is either a constant or the product of a constant and (the first power of)

Slides:



Advertisements
Similar presentations
Elementary Linear Algebra
Advertisements

4.3 Matrix Approach to Solving Linear Systems 1 Linear systems were solved using substitution and elimination in the two previous section. This section.
1 Systems of Linear Equations & Matrices Sections 4.2 & 4.3 After today’s lesson, you will be able to Use terms associated with matrices. Set up and solve.
Lesson 8 Gauss Jordan Elimination
Chapter 1 Systems of Linear Equations
10.1 Gaussian Elimination Method
LINEAR EQUATION IN TWO VARIABLES. System of equations or simultaneous equations – System of equations or simultaneous equations – A pair of linear equations.
Systems of equations and matricies
Chapter 1 Section 1.2 Echelon Form and Gauss-Jordan Elimination.
Section 8.1 – Systems of Linear Equations
Introduction Information in science, business, and mathematics is often organized into rows and columns to form rectangular arrays called “matrices” (plural.
Systems of linear equations. Simple system Solution.
1.2 Gaussian Elimination.
SYSTEMS OF LINEAR EQUATIONS
1 1.1 © 2012 Pearson Education, Inc. Linear Equations in Linear Algebra SYSTEMS OF LINEAR EQUATIONS.
Math Dept, Faculty of Applied Science, HCM University of Technology
Elementary Linear Algebra
Linear Equations in Linear Algebra
Chapter 1 Systems of Linear Equations and Matrices
Barnett/Ziegler/Byleen Finite Mathematics 11e1 Review for Chapter 4 Important Terms, Symbols, Concepts 4.1. Systems of Linear Equations in Two Variables.
Matrices King Saud University. If m and n are positive integers, then an m  n matrix is a rectangular array in which each entry a ij of the matrix is.
Math 201 for Management Students
Systems of Linear Equation and Matrices
Row rows A matrix is a rectangular array of numbers. We subscript entries to tell their location in the array Matrices are identified by their size.
CALCULUS – II Gauss Elimination
A matrix equation has the same solution set as the vector equation which has the same solution set as the linear system whose augmented matrix is Therefore:
Copyright © 2013, 2009, 2005 Pearson Education, Inc. 1 5 Systems and Matrices Copyright © 2013, 2009, 2005 Pearson Education, Inc.
Table of Contents Solving Linear Systems of Equations - Dependent Systems The goal in solving a linear system of equations is to find the values of the.
1 1.5 © 2016 Pearson Education, Inc. Linear Equations in Linear Algebra SOLUTION SETS OF LINEAR SYSTEMS.
Chapter 1 Section 1.3 Consistent Systems of Linear Equations.
Linear Equation The equation Which express the real or complex quantity b in terms of the unknowns and the real or complex constants is called a linear.
Sullivan Algebra and Trigonometry: Section 12.3 Objectives of this Section Write the Augmented Matrix of a System of Linear Equations Write the System.
Chapter 1 Linear Algebra S 2 Systems of Linear Equations.
Chapter 1 Systems of Linear Equations Linear Algebra.
Arab Open University Faculty of Computer Studies M132: Linear Algebra
7.3 Linear Systems of Equations. Gauss Elimination
Linear Equations in Linear Algebra
Chapter 4 Systems of Linear Equations; Matrices
Systems of linear equations
Gaussian Elimination and Gauss-Jordan Elimination
Linear Equations Gauss & Cramer’s
Linear homogeneous ODEn with constant coefficients
5 Systems of Linear Equations and Matrices
First order non linear pde’s
We will be looking for a solution to the system of linear differential equations with constant coefficients.
Chapter 1 Systems of Linear Equations
Solution of System of Linear Equations Using Matrix
Matrices and Systems of Equations 8.1
Chapter 1 Systems of Linear Equations and Matrices
Matrices and Systems of Equations
Linear Equations in Linear Algebra
Chapter 4 Systems of Linear Equations; Matrices
1.1 Introduction to Systems of Equations.
Systems of Linear Equations in Three Variables
Linear Algebra Lecture 37.
Linear Algebra Lecture 3.
Linear Equations in Linear Algebra
6 minutes Warm-Up Find each product..
Systems of Linear Equations and Matrices
Linear Equations in Linear Algebra
Linear Algebra Lecture 7.
Chapter 4 Systems of Linear Equations; Matrices
Section 8.1 – Systems of Linear Equations
Matrices are identified by their size.
Linear Equations in Linear Algebra
PARTIAL DIFFERENTIAL EQUATIONS
Linear Equations in Linear Algebra
NULL SPACES, COLUMN SPACES, AND LINEAR TRANSFORMATIONS
Linear Equations in Linear Algebra
Presentation transcript:

Linear equation A linear equation is an algebraic equation in which each term is either a constant or the product of a constant and (the first power of) a single variable. Example : The equations Following equations are not linear, DKD

Linear equations can have one or more variables Linear equations can have one or more variables. Linear equations occur with great regularity in applied mathematics. While they arise quite naturally when modeling many phenomena, they are particularly useful since many non-linear equations may be reduced to linear equations by assuming that quantities of interest vary to only a small extent from some "background" state. Linear equations do not include exponents. DKD

Figure DKD

Linear equation A linear equation in unknowns is an equation that can be put in the standard form Where and are constants. The constant is called the coefficient of and is called the constant term of the equation. Example: DKD

Solutions A solution of the linear equation is a list of values for the unknowns of numbers such that the equation is satisfied when we substitute The set of all solutions of the equation is called its solution set or sometimes the general solution of the equation. DKD

Systems of linear equations An arbitrary system of linear equations in unknowns can be written as Where are the unknowns and the subscripted and denote constants. The system is called system. If the system is called square. DKD

The system (i) is said to be homogeneous if all the constant terms are zero. ie., if , otherwise the system is non-homogeneous. Homogeneous system I f at least one constant of the set is not zero then the system (i) is called a non-homogeneous . DKD

Example Homogeneous Non-homogeneous DKD

Solution If all are known called a particular solution. If all are not known called a general solution. is a solution of the system i.e, if it satisfies each equation of the system then this are called particular solution. The set of all particular solutions of the system is called a general solution. DKD

Solution(contd.) Every homogeneous system of linear equation is consistent, since all such system have as solution. This solution is called the zero or trivial solution. If is a solution of the homogeneous system DKD

Solution(contd.) If is a solution of the homogeneous system and if at least one is not zero, it is called a non –zero non-zero or non-trivial solution DKD

Echelon Form and Free Variables If the disappearance of the leading variable is increased one line by another line is increased then the reduced system is called the echelon form Example: DKD

Echelon Form and Free Variables(contd.) The variables which do not appear at the beginning are called free variables Example: Numbers of free variables and what are they: In the above example there are 3 equations with 4 variables So 4-3=1 free variables. And leading variable is missing so is free variable. DKD

Consistent & Inconsistent A system of linear equations is said to be consistent if no linear combination of its equations is of the form Otherwise the system is inconsistent. DKD

At a Glance Linear equation Solution System of linear equation Solution of the System of linear equations Homogeneous and non-homogeneous System of linear equations Solution of Homogeneous and non-homogeneous System of linear equations Echelon form Free variables How many free variables and what are they? DKD

System of Linear Equation Non-homogeneous system of linear equation Homogeneous system DKD

Non-homogeneous Linear Systems System of linear Equations Consistent Unique Solution In echelon form free variables does not exist More than one solution In echelon form free variables exist Inconsistent No solution In echelon form at least one equation will appear of the form DKD

Problems Let the system Solution: The given system is DKD

So from Again from Finally The solution Is DKD

Similar problem: Solve Solution: The given system is DKD

Similar problem: Find the solution of the following system of linear equation by reducing it to the echelon form (i) (ii) no solution DKD

Augmented Matrices If we mentally keep track of the location of the the and the a system of linear equations in unknowns can be Abbreviated by writing only the rectangular array of members This is called the augmented matrices for the system. DKD

Example The augmented matrices for the above system of equation DKD

Problem(Augmented Matrices) Solve: The augmented matrices for the above system of equation is DKD

. ~ DKD

Solve the following system Solution: The given system is DKD

The above system (iii) shows that it has two equations of four Unknowns, so the system has more than one solution. Here the Number of free variables 4-2=2. And these are Let and We get from Thus we have the solution DKD

Solve the following system Solution: The given system is DKD

~ Here 4-3=1 free variable which is , Let We get The solution is DKD

Solve the following system Solution: The given system is DKD

~ DKD

~ DKD

~ The solution is DKD

Problem: Show that the system has (1) a unique solution if (III) more than one solution if (III) no solution if Solution: The given system is DKD

Solution: The given system is DKD

Discussion: Case -1: The system (iv) is echelon form Discussion: Case -1: The system (iv) is echelon form. It has a unique solution if the coefficient of z of the third equation is not zero ie if Case-II: It has more than one solution if . Since under this condition there exists in (iv) two equations in three unknowns. Case-III: then the system has no solution. Since under this condition the third equation of (iv) becomes the impossible solution. DKD

Problem: What relation may exist among the constants such that the following system has a solution Solution: The given system is DKD

(iii) & (i) are equivalent (iii) & (i) are equivalent. Now for having a solution the system (iii) must be exist and it is possible if Similar problem: Determine the relationship among the constants under which the following system has a solution DKD

Problem: For what values of and the following system of linear equations has (i) no solution (ii) more than one solution (iii) a unique solution. Solution: The given system is DKD

Case-1: If and then the last equation of the system (iii) a non-zero real number, which is impossible .In This case the system has no solution. Case-II: If and then there are two equations in three unknowns. Since in this case the last equation of this system becomes DKD

Case-1II: If then system has three equations in the three unknowns Case-1II: If then system has three equations in the three unknowns. In this case the system has a unique solution. Similar problem: e DKD

Problem: For what values of the following system of linear equations has (i) a unique solution (ii) more than one solution (iii) no solution. Solution: The given system is DKD

Solution: The given system is Case-I: Case-II: Case-III: DKD

Homogeneous Linear Systems System of homogeneous linear Equations Consistent Zero Solution In echelon form free variables does not exist Non-zero solution In echelon form free variables exist DKD

Problems (Homogeneous) 2. Solve Solution: Given, ~ DKD

~ The system (iii) is echelon form in which equation with 5 variables. So there are 5-2=3 free variables and they are Let We have from Thus the solution is DKD

Problems (Homogeneous) Solve: 1. 2. 3. 4. DKD

Solve: The given system is ~ DKD

~ The given system is Let The system (iii) is echelon form in which equation with 4 variables. So there are 4-2= free variables and they are DKD