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Getting Down with Determinants: Defining det ( A ) Via the PA = LU Decomposition. Henry Ricardo Medgar Evers College (CUNY) Brooklyn, NY [email protected] Joint Mathematics Meetings San Diego, January 7, 2008. Seki and Leibniz. Cauchy. Cayley and Sylvester.

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getting down with determinants defining det a via the pa lu decomposition

Getting Down with Determinants:Defining det (A)Via thePA = LU Decomposition

Henry Ricardo

Medgar Evers College (CUNY)

Brooklyn, NY

[email protected]

Joint Mathematics Meetings

San Diego, January 7, 2008

slide5
…mathematics, like a river, is everchanging in its course, and major branches can dry up to become minor tributaries while small trickling brooks can develop into raging torrents.

This is precisely what occurred with determinants and matrices. The study and use of determinants eventually gave way to Cayley’s matrix algebra, and today matrix and linear algebra are in the main stream of applied mathematics,

whilethe role of determinants has been relegated to a minor backwater position.

—Carl D. Meyer

slide6
“Determinants are difficult, nonintuitive, and

often defined without motivation.”

—Sheldon Axler

“Down with Determinants!”

—Sheldon Axler

(Amer. Math. Monthly102 (1995), 139-154)

slide7
“It is hard to know what to say about

determinants….”

“There is one more problem about the

determinant. It is difficult not only to decide

on its importance, and its proper place in the

theory of linear algebra, butalso to decide

on its definition.”[emphasis mine]

- Gilbert Strang, Linear Algebra and Its Applications (3rdEdn.)

the usual suspects
The Usual Suspects
  • Laplace’s expansion (minors/cofactors)
  • Permutation definition
  • Uniquealternating multilinear function
  • Signedvolume of a parallelepiped
preliminaries i
Preliminaries I
  • Gaussian elimination
    • elementary row operations
    • REF (not unique)
    • RREF (unique)
  • Elementary matrices (3 types)
    • elementary row ops via premultiplication
  • Invertible matrices
preliminaries ii
Preliminaries II
  • LU Decomposition
    • doesn’t always exist
    • is unique if a nonsingular matrix has an LU factorization
    • can be used to solve a system:
preliminaries iii
Preliminaries III
  • PA = LU Decomposition
    • always exists
    • is unique if A is nonsingular (i.e., prod. of is unique)
    • can be used to solve a system:
definition
DEFINITION

Given an n × n matrix A, the determinant of A, denoted

det (A) or |A|, is defined as follows:

where and k is the number of row interchanges

represented by P.

example cont
Example(Cont.)

Note: det (A) = (-1)(-1)(1)(-27) = -27

.

So by forward substitution (top-down)

example cont15
Example(Cont.)

So by back substitution c =

properties
Properties

Standard properties of the determinant follow

easily from previous work with elementary

matrices and from the definition itself.

summary
Summary
  • The determinant appears as a natural consequence of using the PA = LU factorization to solve a system of equations.
  • “Handwaving” is minimal.
  • Standard properties of an n x n determinant follow easily.
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