Linear Algebra Lecture 10.

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Presentation transcript:

Linear Algebra Lecture 10

Systems of Linear Equations

The Matrix of a Linear Transformations

Every Linear Transformation from Rn to Rm is actually a matrix Transformation

Example 1

Theorem Let be a linear transformation. Then there exist a unique matrix A such that T(x)=Ax for all x in Rn.

Example 2 Find the standard matrix A for the dilation transformation T(x)=3x for all x in R2

be the linear operator defined by Example 3 Let be the linear operator defined by Find the standard matrix representing L and verify L(x)=Ax

Example 4

Geometric LT of R2 Examples 2 and 3 illustrate LT that are described geometrically. Tables 1 – 4 in the book illustrate other common geometric linear transformations of the plane. Because the transformations are linear, they are determined completely by what they do to the columns of I2

Instead of showing only the images of e1 and e2, the tables show what a transformation does to the unit square

Other transformations can be constructed from those listed in Tables 1 – 4 by applying one transformation after another

Example 5

Definitions

Example 6

Theorems

Example 7

Linear Algebra Lecture 10