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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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