Consider a linear transformation L ( x → ) = A x → from ℝ n to ℝ m , with rank ( A ) = m . The pseudoinverse L + of L is the transformation from ℝ m to ℝ n given by L + ( y → ) = (theminimal solution of the system L ( x → ) = y → ). See Exercise 10. a. Show that the transformation L + is linear. b. What is L ( L + ( y → ) ) , for y → in ℝ m ? c. What is L + ( L ( x → ) ) , for x → in ℝ n ? d. Determine the image and kernel of L + . e. Find L + for the linear transformation L ( x → ) = [ 1 0 0 0 1 0 ] x → .
Consider a linear transformation L ( x → ) = A x → from ℝ n to ℝ m , with rank ( A ) = m . The pseudoinverse L + of L is the transformation from ℝ m to ℝ n given by L + ( y → ) = (theminimal solution of the system L ( x → ) = y → ). See Exercise 10. a. Show that the transformation L + is linear. b. What is L ( L + ( y → ) ) , for y → in ℝ m ? c. What is L + ( L ( x → ) ) , for x → in ℝ n ? d. Determine the image and kernel of L + . e. Find L + for the linear transformation L ( x → ) = [ 1 0 0 0 1 0 ] x → .
Solution Summary: The author explains that the transformation L+ of L is linear.
Consider a linear transformation
L
(
x
→
)
=
A
x
→
from
ℝ
n
to
ℝ
m
, with
rank
(
A
)
=
m
. The pseudoinverse
L
+
of L is the transformation from
ℝ
m
to
ℝ
n
given by
L
+
(
y
→
)
=
(theminimal solution of the system
L
(
x
→
)
=
y
→
). See Exercise 10. a. Show that the transformation
L
+
is linear. b. What is
L
(
L
+
(
y
→
)
)
, for
y
→
in
ℝ
m
? c. What is
L
+
(
L
(
x
→
)
)
, for
x
→
in
ℝ
n
? d. Determine the image and kernel of
L
+
. e. Find
L
+
for the linear transformation
L
(
x
→
)
=
[
1
0
0
0
1
0
]
x
→
.
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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