MATH 343:001 (11814)
Applied Linear Algebra
Due Wednesday, October 7
You must turn in answers to the problems listed below from Chapters 1 and 2
the MATLAB questions listed on the back.
Basic Concepts in Chapter 1:
row operations, lower-triangular, upper-triangular, pivot, Gaussian
elimina- tion, Gauss-Jordan method, inverse, transpose, symmetric, identity matrix, singular, non-singular,
Basic Skills from Chapter 1:
Find row-echelon form by Gaussian elimination. Find inverse of non-
singular matrix by Gauss-Jordan method. Solve system of linear equations. Produce the LU factorization.
Basic Concepts in Chapter 2:
vector space, subspace, linearly dependent, linearly independent, span,
ba- sis, dimension, row-echelon form, reduced row-echelon form, pivots, free variables, pivot variables, rank,
row space, column space, nullspace, left nullspace, linear transformation.
Basic Skills from Chapter 2: