Linear Algebra: Cramer's Rule, Determinants, and Linear Transformations, Study notes of Linear Algebra

A part of the linear algebra course (math-332) for july 3, 2009. It covers section 3.3, which includes topics on cramer's rule, an inverse formula, determinants as volumes, and linear transformations in r2, r3. The section goals are to understand the proof of cramer's rule, interpret determinants geometrically, and prove theorems related to inverse matrices and determinants. Problems for practice.

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Pre 2010

Uploaded on 08/18/2009

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MATH-332: Linear Algebra 1-1
MATH-332: Linear Algebra Chapter: 3
Determinants
Section 3.3: Cramer’s Rule, Volume, Linear Transformations
pgs. 201 - 209 July 3, 2009
Lecture: Cramer’s Rule, Volume, Linear Transformations
Topics:
Cramer’s Rule
An Inverse Formula
Determinants as Volumes
Linear Transformations in R2,R3
Problems Prac: 1
Prob: 5, 7, 13, 17, 19, 25
Section Goals
Understand the proof of Cramer’s Rule and how this theorem can be used to construct an
element level description of inverse of a nonsingular matrix.
Interpret the determinant geometrically as the volume of the parallelepiped induced by the
vectors, which make up the columns of a matrix.
Section Objectives
Prove Cramer’s Rule, theorem 3.7 page 201, through the use of properties of determinants thus
giving an element level description of the solution to a square linear system with nonsingular
coefficient data.
Using Cramer’s rule and the definition of matrix products to prove theorem 3.8, which gives
an element level description of an inverse matrix.
State the implications of theorem 3.9, which says that the determinant is related to a unsigned
spanned area use this and theorem 3.10 on page 207 to discuss how the determinant can be
used to calculate the way linear transformations change areas.

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MATH-332: Linear Algebra 1-

MATH-332: Linear Algebra Chapter: 3

Determinants

Section 3.3: Cramer’s Rule, Volume, Linear Transformations

pgs. 201 - 209 July 3, 2009

Lecture: Cramer’s Rule, Volume, Linear Transformations

Topics:

Cramer’s Rule An Inverse Formula Determinants as Volumes Linear Transformations in R^2 , R^3

Problems Prac: 1 Prob: 5, 7, 13, 17, 19, 25

Section Goals

  • Understand the proof of Cramer’s Rule and how this theorem can be used to construct an element level description of inverse of a nonsingular matrix.
  • Interpret the determinant geometrically as the volume of the parallelepiped induced by the vectors, which make up the columns of a matrix.

Section Objectives

  • Prove Cramer’s Rule, theorem 3.7 page 201, through the use of properties of determinants thus giving an element level description of the solution to a square linear system with nonsingular coefficient data.
  • Using Cramer’s rule and the definition of matrix products to prove theorem 3.8, which gives an element level description of an inverse matrix.
  • State the implications of theorem 3.9, which says that the determinant is related to a unsigned spanned area use this and theorem 3.10 on page 207 to discuss how the determinant can be used to calculate the way linear transformations change areas.