An n × n matrix A is said to be a Hankel, matrix (namedafter the German mathematician Hermann Hankel, 1839-1873) if a i j = a i + 1 , j − 1 forall i = 1 , ... , n − 1 and all j = 2 , ... , n , meaning that A has constant positive sloping diagonals. For example, a 4 × 4 Hankelmatrix is of the form A = [ a b c d b c d e c d e f d e f g ] . Show that the n × n Hankel matrices form a subspace of ℝ n × n . Find the dimension of this space.
An n × n matrix A is said to be a Hankel, matrix (namedafter the German mathematician Hermann Hankel, 1839-1873) if a i j = a i + 1 , j − 1 forall i = 1 , ... , n − 1 and all j = 2 , ... , n , meaning that A has constant positive sloping diagonals. For example, a 4 × 4 Hankelmatrix is of the form A = [ a b c d b c d e c d e f d e f g ] . Show that the n × n Hankel matrices form a subspace of ℝ n × n . Find the dimension of this space.
Solution Summary: The author explains that a ntimes N Hankel matrix A has constant positive sloping diagonals.
An
n
×
n
matrix A is said to be a Hankel, matrix (namedafter the German mathematician Hermann Hankel, 1839-1873) if
a
i
j
=
a
i
+
1
,
j
−
1
forall
i
=
1
,
...
,
n
−
1
and all
j
=
2
,
...
,
n
, meaning that A has constant positive sloping diagonals. For example, a
4
×
4
Hankelmatrix is of the form
A
=
[
a
b
c
d
b
c
d
e
c
d
e
f
d
e
f
g
]
.
Show that the
n
×
n
Hankel matrices form a subspace of
ℝ
n
×
n
. Find the dimension of this space.
1. For the following subsets of R3, explain whether or not they are a subspace of R³.
(a)
(b)
1.1
0.65
U
= span
-3.4
0.23
0.4
-0.44
0
(})}
a
V
{(2) | ER
(c) Z= the points in the z-axis
Solve the following equation forx.
leave
answer in
Simplified radical form.
5x²-4x-3=6
MATCHING LIST
Question 6
Listen
Use the given equations and their discriminants to match them to the type and
number of solutions.
00
ed
two irrational solutions
a. x²+10x-2=-24
two rational solutions
b. 8x²+11x-3=7
one rational solution
c. 3x²+2x+7=2
two non-real solutions
d. x²+12x+45 = 9
DELL
FLOWER
CHILD
10/20
All Changes S
$681 22991
Chapter 5 Solutions
Linear Algebra With Applications (classic Version)
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