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File: Matrix Pdf 173051 | Matrixalgebra
short guides to microeconometrics kurt schmidheiny klaus neusser fall 2022 university of basel elements of matrix algebra contents 1 denitions 2 2 matrix operations 3 3 rank of a matrix ...

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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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...Short guides to microeconometrics kurt schmidheiny klaus neusser fall university of basel elements matrix algebra contents denitions operations rank a special functions square matrices systems equations eigenvalue vector and decomposition quadratic forms partitioned derivatives with kronecker product references formula sources proofs version foreword these lecture notes are supposed summarize the main results concern ing as they used in econometrics economics for deeper discussion material interested reader should consult listed at end is rectangular array numbers here we consider only real if has n rows m columns say that dimension denote by capital bold letters ij nm called an column similarly row vectors b scalar which denoted italic letter null o whose all equal zero i e j same number symmetric such ji diagonal ele ments identity one or said be upper triangular whenever lower two linearly dependent there exist scalars both not otherwise independent equality have their respective tr...

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