Matrix Operations and Inverse, Study notes of Mathematics

The basics of matrix operations, including matrix notation, zero matrix, matrix multiplication, and the row-column rule. Additionally, it discusses the inverse of a matrix, its definition, and when it exists. The document also includes examples and theorems to illustrate the concepts.

Typology: Study notes

Pre 2010

Uploaded on 08/19/2009

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2.1 Matrix Operations
Matrix Notation:
Two ways to denote matrix
In terms of the columns of
In terms of the entries of
Main diagonal entries:
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16

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2.1 Matrix OperationsMatrix Notation: Two ways to denote

matrix In terms of the^ columns

of In terms of the^ entries

of Main diagonal entries:

Zero Matrix: THEOREM:^ Let

be matrices of the samesize, and let be scalars. Then

Example.^ Compute

where Solution.

If^

how many columns

does^ have?^ 1.^2 2.^3^ 3.^ AB^ is notdefined

Row-Column Rule for Computing AB (alternatemethod) If^ is defined, then

Example.^ Compute

if it is defined.

WARNINGS

Powers of

Example.

Theorem.

2.2 The Inverse of a MatrixDefinition.^ An^

matrix^ is said to be invertible^ if there is an

matrix satisfyingwhere^ is the identity matrix. If it exists,

is called the^ inverse

of^ denoted by

2.2 The Inverse of a MatrixDefinition.^ An^

matrix^ is said to be invertible^ if there is an

matrix satisfyingwhere^ is the identity matrix. If it exists,

is called the^ inverse

of^ denoted by Not all^ matrices are invertible.

A matrix which is not invertible is called a

singular^ matrix. An invertible matrix is called

nonsingular^ matrix.

Theorem.^ If^

is an invertible^

matrix, then for

each^ in^

the equation^

has the unique solution _______________.

Example. Use the inverse of to solve Solution.