[Linear Algebra] Onto One-to-one

Jason Lee·2022년 9월 15일
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Linear Algebra

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ONTO and ONE-TO-ONE

  • Defintion of ONTO
    • A mapping T:RnRmT : \mathbb{R}^n \mapsto \mathbb{R}^m is said to be onto Rm\mathbb{R}^m if each bRm\textbf{b} \in \mathbb{R}^m is the image of at least one xRn\textbf{x} \in \mathbb{R}^n
    • That is, the range is equal to the co-domain

  • Definition of ONE-TO-ONE
    • A mapping T:RnRmT : \mathbb{R}^n \mapsto \mathbb{R}^m is said to be one-to-one if each bRm\textbf{b} \in \mathbb{R}^m is the image of at most one xRn\textbf{x} \in \mathbb{R}^n
    • That is, each output vector in the range is mapped by only one input vector
  • Domain : set of all the possible values of x
  • Co-domain : set of all the possible values of y
  • Image : a mapped output y, given x
  • Range : set of all the output values mapped by each x in the domain

Let T:RnRmT : \mathbb{R}^n \mapsto \mathbb{R}^m be a linear transformation

  • T(x)=AxT(\textbf{x}) = A\textbf{x} for all xRn\mathbf{x} \in \mathbb{R}^n
    • TT is one-to-one if and only if the columns of AA are linearly independent
    • TT maps Rn\mathbb{R}^n onto Rm\mathbb{R}^m if and only if the columns of AA span Rm\mathbb{R}^m
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