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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.
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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
Row-Column Rule for Computing AB (alternatemethod) If^ is defined, then
Example.^ Compute
if it is defined.
Powers of
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.