This document discusses linear transformations and their matrix representations. It defines a linear transformation as a function between vector spaces that respects the underlying linear structure. The matrix of a linear transformation uniquely represents the transformation and maps vectors from the domain to the range by matrix multiplication. Several examples are provided of finding the matrix of linear transformations between Rn and Rm spaces based on their actions on the standard basis vectors.
relating to,resembling, or having a graph
that is a line and especially a straight
line involving a single dimension
E.g y=mx + b
Linear:
5.
Transformation:
The operationof changing (as by rotation
or mapping) one configuration or
expression into another in accordance
with a mathematical rule.
6.
Linear transformation
A lineartransformation is a function from
one vector space to another that respects
the underlying (linear) structure of each
vector space. A linear transformation is also
known as a linear operator or map.
7.
Matrix of lineartransformation:
The matrix of a linear transformation is a
matrix for which T (𝒙 ) =A𝒙 , for a
vector x⃗ in the domain of T. This means
that applying the transformation T to a
vector is the same as multiplying by this
matrix. Such a matrix can be found for any
linear transformation T from 𝑹 𝒏 to𝑹 𝒎, for
fixed value of n and m, and is unique to the
transformation.
Example:02
Find the matrixof each of the following linear
transformation with respect to the standard basis of the
given space.𝑻: 𝑹 𝟑 → 𝑹 𝟐 𝒅𝒆𝒇𝒊𝒏𝒆𝒅 𝒃𝒚 𝑻 𝒙 𝟏, 𝒙 𝟐, 𝒙 𝟑 =
𝟑𝒙 𝟏 − 𝟒𝒙 𝟐 + 𝟗𝒙 𝟑, 𝟓𝒙 𝟏 + 𝟑𝒙 𝟐 − 𝟐𝒙 𝟑
𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐛𝐚𝐬𝐢𝐬 𝐨𝐟 𝑹 𝟑 = 𝟏, 𝟎, 𝟎 , 𝟎, 𝟏, 𝟎 , 𝟎, 𝟎, 𝟏
Standard basis of 𝑹 𝟐
= 𝟏, 𝟎 , 𝟎, 𝟏
𝐓 𝟏, 𝟎, 𝟎 = 𝟑, 𝟓 = 𝟑 𝟏, 𝟎 + 𝟓 𝟎, 𝟏
𝐓 𝟎, 𝟏, 𝟎 = −𝟒, 𝟑 = −𝟒 𝟏, 𝟎 + 𝟑 𝟎, 𝟏
𝐓 𝟎, 𝟎, 𝟏 = 𝟗, −𝟐 = 𝟗 𝟏, 𝟎 − 𝟐 𝟎, 𝟏)
𝐬𝐨 𝐭𝐡𝐞 𝐦𝐚𝐭𝐫𝐢𝐱 𝐨𝐟 𝐓 𝐢𝐬,
𝟑 −𝟒 𝟗
𝟓 𝟑 𝟐
11.
example :03
Each ofthe following is the matrix of a linear
transformation𝐓: 𝐑 𝐧
→ 𝐑 𝐦
. Determine m, n and express T is
term of coordinates.
𝟑 𝟏 𝟎 𝟐 𝟎
𝟏 𝟎 𝟎 𝟏 𝟏
𝟎 −𝟏 𝟏 𝟏 𝟏
The order of matrix T is 3× 𝟓 .
n = 5, m = 3
𝑻: 𝑹 𝟓 → 𝑹 𝟑
𝐓
𝒙 𝟏
𝒙 𝟐
𝒙 𝟑
𝒙 𝟒
𝒙 𝟓
=
𝟑 𝟏 𝟎 𝟐 𝟎
𝟏 𝟎 𝟎 𝟏 𝟏
𝟎 −𝟏 𝟏 𝟏 𝟏
𝒙 𝟏
𝒙 𝟐
𝒙 𝟑
𝒙 𝟒
𝒙 𝟓