Proof Use the concept of a fixed point of a linear transformation T : V → V . A vector u is a fixed point when T ( u ) = u . (a) Prove that 0 is a fixed point of a liner transformation T : V → V . (b) Prove that the set of fixed points of a linear transformation T : V → V is a subspace of V . (c) Determine all fixed points of the linear transformation T : R 2 → R 2 represented by T ( x , y ) = ( x , 2 y ) . (d) Determine all fixed points of the linear transformation T : R 2 → R 2 represented by T ( x , y ) = ( y , x ) .
Proof Use the concept of a fixed point of a linear transformation T : V → V . A vector u is a fixed point when T ( u ) = u . (a) Prove that 0 is a fixed point of a liner transformation T : V → V . (b) Prove that the set of fixed points of a linear transformation T : V → V is a subspace of V . (c) Determine all fixed points of the linear transformation T : R 2 → R 2 represented by T ( x , y ) = ( x , 2 y ) . (d) Determine all fixed points of the linear transformation T : R 2 → R 2 represented by T ( x , y ) = ( y , x ) .
Solution Summary: The author explains that a vector 0 is fixed point of any linear transformation T:Vto V.
Proof Use the concept of a fixed point of a linear transformation
T
:
V
→
V
. A vector
u
is a fixed point when
T
(
u
)
=
u
.
(a) Prove that
0
is a fixed point of a liner transformation
T
:
V
→
V
.
(b) Prove that the set of fixed points of a linear transformation
T
:
V
→
V
is a subspace of
V
.
(c) Determine all fixed points of the linear transformation
T
:
R
2
→
R
2
represented by
T
(
x
,
y
)
=
(
x
,
2
y
)
.
(d) Determine all fixed points of the linear transformation
T
:
R
2
→
R
2
represented by
T
(
x
,
y
)
=
(
y
,
x
)
.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
wwwmm Let
x =
4
4
Define the linear transformation T: R³ R4 by T(x) = Ax. Find a vector x whose image under T is b.
->>>
2
A =
Is the vector x unique? unique
-4 -3 -5
-5
6
2
3
5 -6
11
-7 25
and b =
-38
8
20
66
Linear Tranformations
Linear Algebra - Linear Transformation
Defn: A function T : V → W is one-to-one (injective) if T(x1)=T(x2) ⇒ (x1)=(x2). T is onto (surjective) if T(V) = W.
Let T : V → V be a linear transformation defined by T(v1,v2,v3,...) = (v2,v3,...).
Show that T is onto but not one-to-one.
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Linear Equation | Solving Linear Equations | What is Linear Equation in one variable ?; Author: Najam Academy;https://www.youtube.com/watch?v=tHm3X_Ta_iE;License: Standard YouTube License, CC-BY