MAT 335
Main Topics
for Test 3
Wednesday,
Nov. 28, 2007
Sections 3.3,
4.1 – 4.6, 4.9
Be
able to use determinants to:
• find areas of parallelograms and volumes of
parallelepipeds
• solve systems of equations by Cramér’s Rule
• find entries in the inverse of a matrix
Vector spaces, subspaces, linear independence and bases
Be able to:
• recognize when a subset of a vector space is
a subspace using the Subspace Test, or the fact that the following are ALWAYS
subspaces: Span{v1, ... vp}, Col(A), Nul(A).
• determine whether a given set of vectors in a
general vector space is linearly independent or linearly dependent (with
reasons)
• determine whether a set of vectors is a basis
for Rn
• state the standard basis for Rn, for Pn, for Mm x n
• find the coordinates of a vector with respect
to a basis
• find a vector, given its coordinates
• use coordinates to
test for linear independence
• check whether or not a given set of vectors
is a basis
• reduce a spanning set of a subspace H to a
basis for H
Dimension
Be
able to:
• find the dimension of instances of Rn, of Pn, of Mm x n
• find the dimension of,
and basis for, Col A, Nul A and Row A
• use the fact that dim Col A + dim Nul A = number of columns of A
• use the fact that rank(A)
= dim Col(A) = dim Row(A)
Applications
Be
able to:
• find a steady-state probability vector for a
stochastic matrix, and interpret its meaning in the context of an application
• answer questions about linear systems that
use the concepts mentioned on this page
• answer true/false questions about the
concepts mentioned on this page