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so the standard matrix for T is
This matrix is invertible (so T is one-to-one) and the standard matrix for is
Thus
from which we conclude that
Linearity Properties
In the preceding section we defined a transformation to be linear if the equations relating x and are linear
equations. The following theorem provides an alternative characterization of linearity. This theorem is fundamental and will be the
basis for extending the concept of a linear transformation to more general settings later in this text.
THEOREM 4.3.2
Properties of Linear Transformations
A transformation is linear if and only if the following relationships hold for all vectors u and v in and for
every scalar c.
(a)
(b)
Proof Assume first that T is a linear transformation, and let A be the standard matrix for T. It follows from the basic arithmetic
properties of matrices that
and
Conversely, assume that properties (a) and (b) hold for the transformation T. We can prove that T is
linear by finding a matrix A with the property that

