Let A be the ( 2 × 2 ) matrix A = [ 1 2 3 6 ] Choose some vector b in R 2 such that the equation A x = b is inconsistent. Verify that the associated equation A T A x = A T b is consistent for your choice of b . Let x ∗ be a solution to A T A x = A T b , and select some vectors x at random from R 2 . Verify that ‖ A x ∗ − b ‖ ≤ ‖ A x − b ‖ for any of these random choices of x . (In Chapter 3, we will show that A T A x = A T b is always consistent for any ( m × n ) matrix A regardless of whether A x = b is consistent or not. We also show that any solution x ∗ of A T A x = A T b satisfies ‖ A x ∗ − b ‖ ≤ ‖ A x − b ‖ for all x in R n ; that is, such a vector x ∗ minimizes the length of the residual vector r = A x − b .)
Let A be the ( 2 × 2 ) matrix A = [ 1 2 3 6 ] Choose some vector b in R 2 such that the equation A x = b is inconsistent. Verify that the associated equation A T A x = A T b is consistent for your choice of b . Let x ∗ be a solution to A T A x = A T b , and select some vectors x at random from R 2 . Verify that ‖ A x ∗ − b ‖ ≤ ‖ A x − b ‖ for any of these random choices of x . (In Chapter 3, we will show that A T A x = A T b is always consistent for any ( m × n ) matrix A regardless of whether A x = b is consistent or not. We also show that any solution x ∗ of A T A x = A T b satisfies ‖ A x ∗ − b ‖ ≤ ‖ A x − b ‖ for all x in R n ; that is, such a vector x ∗ minimizes the length of the residual vector r = A x − b .)
Solution Summary: The author explains that the matrix A is consistent only if it consists of row with all elements equal to zero.
Choose some vector
b
in
R
2
such that the equation
A
x
=
b
is inconsistent. Verify that the associated equation
A
T
A
x
=
A
T
b
is consistent for your choice of
b
. Let
x
∗
be a solution to
A
T
A
x
=
A
T
b
, and select some vectors
x
at random from
R
2
. Verify that
‖
A
x
∗
−
b
‖
≤
‖
A
x
−
b
‖
for any of these random choices of
x
. (In Chapter 3, we will show that
A
T
A
x
=
A
T
b
is always consistent for any
(
m
×
n
)
matrix
A
regardless of whether
A
x
=
b
is consistent or not. We also show that any solution
x
∗
of
A
T
A
x
=
A
T
b
satisfies
‖
A
x
∗
−
b
‖
≤
‖
A
x
−
b
‖
for all
x
in
R
n
; that is, such a vector
x
∗
minimizes the length of the residual vector
r
=
A
x
−
b
.)
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.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, algebra and related others by exploring similar questions and additional content below.