Let A be an ( m × n ) matrix, and let B be an ( n × p ) matrix, where the entries of A and B may be complex. Use Exercise 35 and the definition of AB to show that A B ¯ = A ¯ B ¯ . (By A ¯ , we mean the matrix whose i j th entry is the conjugate of the i j th entry of A .) If A is a real matrix and x is an ( n × 1 ) vector , show that A x ¯ = A x ¯ .
Let A be an ( m × n ) matrix, and let B be an ( n × p ) matrix, where the entries of A and B may be complex. Use Exercise 35 and the definition of AB to show that A B ¯ = A ¯ B ¯ . (By A ¯ , we mean the matrix whose i j th entry is the conjugate of the i j th entry of A .) If A is a real matrix and x is an ( n × 1 ) vector , show that A x ¯ = A x ¯ .
Solution Summary: The author explains the properties of conjugate operation for complex numbers z and w.
Let A be an
(
m
×
n
)
matrix, and let B be an
(
n
×
p
)
matrix, where the entries of A and B may be complex. Use Exercise 35 and the definition of AB to show that
A
B
¯
=
A
¯
B
¯
.
(By
A
¯
,
we mean the matrix whose i j th entry is the conjugate of the i j th entry of A.) If A is a real matrix and x is an
(
n
×
1
)
vector, show that
A
x
¯
=
A
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.
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.