Linear Algebra Toolkit

Linear Algebra Toolkit - Main Page

v. 1.21 beta

This Linear Algebra Toolkit is comprised of the modules listed below. Each module is designed to help a linear algebra student learn and practice a basic linear algebra procedure, such as Gauss-Jordan reduction, calculating the determinant, or checking for linear independence.

Please be advised that these pages are currently under construction.

Click here for additional information on the toolkit.

MODULES

Systems of linear equations and matrices
Row operation calculator	Interactively perform a sequence of elementary row operations on the given m x n matrix A.
Transforming a matrix to row echelon form	Find a matrix in row echelon form that is row equivalent to the given m x n matrix A.
Transforming a matrix to reduced row echelon form	Find the matrix in reduced row echelon form that is row equivalent to the given m x n matrix A.
Solving a linear system of equations	Solve the given linear system of m equations in n unknowns.
Calculating the inverse using row operations	Find (if possible) the inverse of the given n x n matrix A.
Determinants
Calculating the determinant using row operations	Calculate the determinant of the given n x n matrix A.
Vector spaces
Linear independence and dependence	Given the set S = {v₁, v₂, ... , v_n} of vectors in the vector space V, determine whether S is linearly independent or linearly dependent.
Determining if the set spans the space	Given the set S = {v₁, v₂, ... , v_n} of vectors in the vector space V, determine whether S spans V.
Finding a basis of the space spanned by the set	Given the set S = {v₁, v₂, ... , v_n} of vectors in the vector space V, find a basis for span S.
Finding a basis of the null space of a matrix	Find a basis of the null space of the given m x n matrix A.

ADDITIONAL INFO

The Linear Algebra Toolkit has been written entirely in PERL. Every effort has been made to make it compatible with a broad range of browsers, however, no guarantee can be made that every browser will properly handle this application.
In order to bookmark the toolkit, first go to the cover page; all the other pages in this toolkit (including the one you are reading) are created dynamically.
The toolkit represents all the data (such as matrix entries, vector components and polynomial coefficients) as rational numbers, where both the numerator and denominator are stored as integers. All operations on these rational numbers are performed exactly. Note that in the current version overflow errors are not trapped.
Permission is hereby granted for any noncommercial use of this product by individuals, e.g. students, faculty, etc.
Permission for the class use of this product in an academic environment is automatically granted, provided the instructor notifies the author.
Any other use (including any commercial use) requires an explicit permission from the author.
Comments should be forwarded to the author:
Przemyslaw Bogacki.
Department of Mathematics and Statistics
Old Dominion University
Norfolk, VA 23529

Phone: (757) 683-3262
E-mail: pbogacki@odu.edu