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Representing Linear Maps with Matrices Existence/Uniqueness Redux Matrix Algebra
Linear Transformations and Matrix Algebra
A. Havens
Department of Mathematics
University of Massachusetts, Amherst
February 10-16, 2018
A. Havens Linear Transformations and Matrix Algebra
Representing Linear Maps with Matrices Existence/Uniqueness Redux Matrix Algebra
Outline
1 Representing Linear Maps with Matrices
The Standard Basis of Rn
Finding Matrices Representing Linear Maps
2 Existence/Uniqueness Redux
Reframing via Linear Transformations
Surjectivity, or Onto Maps
Injectivity, or One-To-One Maps
Theorems on Existence and Uniqueness
3 Matrix Algebra
Composition of Maps and Matrix Multiplication
Matrices as Vectors: Scaling and Addition
Transposition
A. Havens Linear Transformations and Matrix Algebra
Representing Linear Maps with Matrices Existence/Uniqueness Redux Matrix Algebra
n
The Standard Basis of R
Components Revisited
Observe that any x ∈ R2 can be written as a linear combination of
vectors along the standard rectangular coordinate axes using their
components relative to this standard rectangular coordinate
system: ñ ô ñ ô ñ ô
x = x1 =x 1 +x 0 .
x 1 0 2 1
2
These two vectors along the coordinate axes will form the standard
basis for R2.
A. Havens Linear Transformations and Matrix Algebra
Representing Linear Maps with Matrices Existence/Uniqueness Redux Matrix Algebra
n
The Standard Basis of R
Elementary Vectors
Definition
The vectors along the standard rectangular coordinate axes of R2
are denoted ñ ô ñ ô
e := 1 , e := 0 .
1 0 2 1
They are called elementary vectors (hence the notation ei,
i = 1,2), and the ordered list (e ,e ) is called the standard basis
1 2
of R2.
Observe that Span{e ,e } = R2.
1 2
A. Havens Linear Transformations and Matrix Algebra
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