Linear Transformations and Matrices

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Linear Transformations and Matrices

A linear transformation preserves vector addition and scalar multiplication and is represented by a matrix after bases are chosen. The columns of a standard matrix are the images of the standard basis vectors. The distinction between a formal hypothesis and an intuitive picture is made explicit so that calculations can be justified, not merely patterned.

Worked reasoning

  1. Matrix columns are images of basis vectors.
  2. The first column is T(e1)=(2,1)TT(e_1)=(2,1)^T.

If T(e1)=(2,1)T(e_1)=(2,1) and T(e2)=(0,3)T(e_2)=(0,3), what is the first matrix column?

Which statement best captures the central mathematical idea in Linear Transformations and Matrices?

When starting a problem about Linear Transformations and Matrices, which move is most reliable?

Which statement is a misconception that must be rejected when working with Linear Transformations and Matrices?