Objective:
To provide movies with audio for basic matrix algebra computations that can be
used by instructors as part of a lecture and by students for self-study.
Level:
High school or college courses in which basic matrix algebra techniques are
introduced.
Prerequisites:
Familiarity with a matrix, its entries, and their row-column addresses is
required. The animation on a the matrix vector product assumes familiarity
with linear combinations. If the animation on the method of elimination is to
be used, then the concepts of coefficient matrix, right side and augmented
matrix will be needed. For the animations based on the MATLAB routine
reduce, familiarity with row operations is required.
Platform:
No particular software is required for the movies on matrix algebra
computations, other than the Flash player, which is a
free download. Go to
http://www.adobe.com/support/flash/downloads.html
If you have MATLAB, the routine reduce,
described below, can be downloaded by clicking
here.
Routine reduce performs row reduction on matrix by
explicitly choosing
row operations to use. A row operation can be "undone", but
this feature cannot be used in succession. This routine is
for small matrices, real or complex.
Instructor's
Notes:
The matrix algebra computations of Dot Product, Matrix
Addition, Matrix-Vector Product, Matrix Multiplication, and the Method of
Elimination are traditionally done with discussion and examples on a chalk
board or white board. Here we present an alternative mode of presentation
utilizing Flash movies with audio that present step-by-step examples of the
operations or procedures. The movie can be stop and reversed to review or
emphasize a point, or to respond to student questions when used in a lecture
format. The audio can be turned off if desired. The movies can be included in
assignments prior to classroom discussions or used for self study.
The examples used in the movies are similar to those
appearing in many texts for matrix algebra or linear algebra. Thus they
involve small matrices with integer entries.
Topic
Time
Comments
Click to view
The Method of
Elimination
5 min 40 sec
Step-by-step procedure for a 3 by 3
system.
Matrix Addition
2 min 17 sec
Adds 3 by 2
matrices.
Scalars and Scalar Multiplication
3 min 12 sec
Scalar quantities and multiplication of
a matrix by a scalar.
Matrix Differences (subtraction)
2 min 38 sec
Subtraction of matrices.
Linear Combinations
5 min 6 sec
Scalar multiples with addition or
subtraction of matrices.
Dot Product
1 min 40 sec
Uses a pair of
4-vectors.
Matrix
Multiplication
3 min 13 sec
Uses row-by-column
computation.
Matrix-Vector
Product
1 min 57 sec
Uses a linear
combination of
columns format.
Matrix Transformations
7 min 25 sec
Functions defined by matrix-vector
products.
Matrix Inverse
15 min 23 sec
Reversing the effect of matrix
multiplication, when possible.
Reduced Row Echelon Form (easy)
4 min 20 sec
Step-by-step on an
3 by 4 matrix.
Reduced Row Echelon Form (typical)
7 min 12 sec
Step-by-step on an
4 by 4 matrix.
Solving a 3 by 3 Linear System
4 min 50 sec
Step-by-step solution of 3 equations in
3 unknowns.
Solving a Homogeneous System
4 min 49 sec
Step-by-step on a system of 3 equations
in 4 unknowns.
Determinants of Small Matrices
(Computing Determinants of 2 by 2 and 3 by 3 Matrices)
5 min 57 sec
Step-by-step development with examples
and quizzes.
Determinants by Expansion.
12 min 17 sec
Determinants as a linear combination of
determinants of submatrices.
Determinants Using Row Operations
10 min 29 sec
Computing the determinant using row
operations.
An Application of Determinants
5 min 42 sec
5 min 58
sec
6 min 1 sec
The Area of a Parallelogram by
Determinants and the Method of Elimination
Is there a set of coefficients not all
zero so that a linear combination of quantities gives zero?
A Discussion about Eigenvalues and
Eigenvectors
9 min 43 sec
Geometric and algebraic introduction.
Computing Eigenvalues and Eigenvectors
of a 2 by 2 Matrix
6 min 2 sec
Step-by-step computation
Computing Eigenvalues and Eigenvectors
of a 3 by 3 Matrix
8 min 7 sec
Step-by-step computation with repeated
eigenvalue
Computing Eigenvalues and Eigenvectors
of a 3 by 3 Matrix
(a second example)
9 min
Step-by-step computation with repeated
eigenvalue
If you have MATLAB and want to discuss step-by-step row
reduction employing routine reduce, then the following two movies can
be incorporated into a presentation, or assigned for students to view
independently. In either case we suggest that the students make a list of the
row operations used for the reduction so that the process can be reviewed at
the end of the movie.
Topic
Time
Comments
Click to view
Solve a 2 by 2
linear system.
3 min 10 sec
Steps are used to
avoid the fractions.
Solve a 3 by 3
linear system.
3 min 47 sec
Reduction process
uses the addresses
of entries in forming
fractions for multipliers.
Credits:
This demo was developed by
David R. Hill
Department of Mathematics
Temple University
and is
included in Demos with Positive Impact
with his permission.