Merced College; Don Power   

 

 

6.1  Systems of Linear Equations in Two Variables     Hwk:  15, 19, 21, 28, 43, 44

This lesson is a review from beginning and intermediate alg

            We'll mention a couple points and assign minimal hwk

            You review it as necessary

What does a system look like, algebraically

            Solution techniques

                        Substitution (also work for nonlinear systems)

                        Elimination

Three cases of solutions (graphically)

            Algebraically, what do these cases look like?  (for the inconsistent and dependent cases)

New: Writing a solution for the dependent case  Example 6

Cost/Revenue/Break-Even

            Example: do #45 but build the revenue function)

 

6.2  Large Systems of Linear Equations     Hwk:  Std, -21, +20

Work toward triangular form, then finish by back-sub

            X1-5, practice on back-sub

Elementary operations:

Swap any two equations

Mult an eqn by a const [not 0] -- replace the row by the result

Mult an eqn by a const and add to another eqn --

leave the 1st eqn unchanged, but replace the 2nd eqn

Strategy: 

Pick a variable and eliminate the same var from all but one eqn.

            Which eqn to keep?  The one with the smallest coeff of the var (1 if possible)

            You need the lower coeff to be a divisor of the higher ones; how:

                        divide the master eqn, or multiply the target eqn.

            Result:  system with one less var and one less eqn.

            Repeat until you have triangular form.

 

6.3  Matrix Solution Methods     Hwk:  Std, +43, -41

Syst of eqns, converted to (and from) a matrix

Calculator entries:  for most:   2nd, MATRIX, EDIT, pick a name A, enter dimension, enter matrix, quit and view the matrix on the home screen

Gaussian elim vs Gauss-Jordan

ref vs rref on calc

partial fraction example:

text already has problem set up

Example:  X44

 

6.4A  Matrix Algebra     Hwk:  Std to #41

Dimension

Double subscript notation:  Meaning of aij, e.g. a23

Equality, +, -

Scalar mult

Properties of addition and scalar mult:  same as for real numbers

[Do 6.4 before the matrix mult section here, except be able to do it on a calculator]

Properties of matrix mult:  associative and distributive OK:  same as real numbers, except:

            product may not even exist (problem with closure)

not commutative

            identity only applies to square matrices

            inverse may not exist

 

 

6.4  Matrix Methods for Square Systems     Hwk: 

 

 

Return to:  Merced College; Don Power               Updated 08/16/05 by Don Power