Here is an infinite-dimensional version of Euclidean space: In the space of all infinite sequences, consider the subspace ℓ 2 , of square-summable sequences [i.e., those sequences ( x 1 , x 2 , ... ) for which the infinite series x 1 2 + x 2 2 + ⋯ converges]. For x → and y → in ℓ 2 , we define ‖ x → ‖ = x 1 2 + x 2 2 + ⋯ , x → ⋅ y → = x 1 y 1 + x 2 y 2 + ⋯ . (Why does the series x 1 y 1 + x 2 y 2 + ⋯ converge?) a. Check that x → = ( 1 , 1 2 , 1 4 , 1 8 , 1 16 , ⋯ ) is in ℓ 2 , and find ‖ x → ‖ . Recall the formula for the geometric series: 1 + a + a 2 + a 3 + ⋯ = 1 / ( 1 − a ) , if − 1 < a < 1 . b. Find the angle between ( 1 , 0 , 0 , ... ) and ( 1 , 1 2 , 1 4 , 1 8 , ... ) . c. Give an example of a sequence ( x 1 , x 2 , ... ) that converges to 0 (i.e. lim n → 0 x n = 0 ) hut does not belong to ℓ 2 . d. Let L be the subspace of ℓ 2 spanned by ( 1 , 1 2 , 1 4 , 1 8 , ... ) . Find the orthogonal projection of ( 1 , 0 , 0 , ... ) onto L. The Hubert space ℓ 2 was initially used mostly in physics: Werner Heisenberg’s formulation of quantum mechanics is in terms of ℓ 2 . Today, this space is used in many other applications, including economics. See, for example, the work of the economist Andreu Mas-Colell of the University of Barcelona.
Here is an infinite-dimensional version of Euclidean space: In the space of all infinite sequences, consider the subspace ℓ 2 , of square-summable sequences [i.e., those sequences ( x 1 , x 2 , ... ) for which the infinite series x 1 2 + x 2 2 + ⋯ converges]. For x → and y → in ℓ 2 , we define ‖ x → ‖ = x 1 2 + x 2 2 + ⋯ , x → ⋅ y → = x 1 y 1 + x 2 y 2 + ⋯ . (Why does the series x 1 y 1 + x 2 y 2 + ⋯ converge?) a. Check that x → = ( 1 , 1 2 , 1 4 , 1 8 , 1 16 , ⋯ ) is in ℓ 2 , and find ‖ x → ‖ . Recall the formula for the geometric series: 1 + a + a 2 + a 3 + ⋯ = 1 / ( 1 − a ) , if − 1 < a < 1 . b. Find the angle between ( 1 , 0 , 0 , ... ) and ( 1 , 1 2 , 1 4 , 1 8 , ... ) . c. Give an example of a sequence ( x 1 , x 2 , ... ) that converges to 0 (i.e. lim n → 0 x n = 0 ) hut does not belong to ℓ 2 . d. Let L be the subspace of ℓ 2 spanned by ( 1 , 1 2 , 1 4 , 1 8 , ... ) . Find the orthogonal projection of ( 1 , 0 , 0 , ... ) onto L. The Hubert space ℓ 2 was initially used mostly in physics: Werner Heisenberg’s formulation of quantum mechanics is in terms of ℓ 2 . Today, this space is used in many other applications, including economics. See, for example, the work of the economist Andreu Mas-Colell of the University of Barcelona.
Solution Summary: The author analyzes the infinite-dimensional version of Euclidean space by comparing the subspace mathcall_2 of square-summable sequences.
Here is an infinite-dimensional version of Euclidean space: In the space of all infinite sequences, consider the subspace
ℓ
2
, of square-summable sequences [i.e., those sequences
(
x
1
,
x
2
,
...
)
for which the infinite series
x
1
2
+
x
2
2
+
⋯
converges]. For
x
→
and
y
→
in
ℓ
2
, we define
‖
x
→
‖
=
x
1
2
+
x
2
2
+
⋯
,
x
→
⋅
y
→
=
x
1
y
1
+
x
2
y
2
+
⋯
.
(Why does the series
x
1
y
1
+
x
2
y
2
+
⋯
converge?) a. Check that
x
→
=
(
1
,
1
2
,
1
4
,
1
8
,
1
16
,
⋯
)
is in
ℓ
2
, and find
‖
x
→
‖
. Recall the formula for the geometric series:
1
+
a
+
a
2
+
a
3
+
⋯
=
1
/
(
1
−
a
)
, if
−
1
<
a
<
1
. b. Find the angle between
(
1
,
0
,
0
,
...
)
and
(
1
,
1
2
,
1
4
,
1
8
,
...
)
. c. Give an example of a sequence
(
x
1
,
x
2
,
...
)
that converges to 0 (i.e.
lim
n
→
0
x
n
=
0
) hut does not belong to
ℓ
2
. d. Let L be the subspace of
ℓ
2
spanned by
(
1
,
1
2
,
1
4
,
1
8
,
...
)
. Find the orthogonal projection of
(
1
,
0
,
0
,
...
)
onto L. The Hubert space
ℓ
2
was initially used mostly in physics: Werner Heisenberg’s formulation of quantum mechanics is in terms of
ℓ
2
. Today, this space is used in many other applications, including economics. See, for example, the work of the economist Andreu Mas-Colell of the University of Barcelona.
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