Sequence space (original) (raw)
Vector space of infinite sequences
In functional analysis and related areas of mathematics, a sequence space is a vector space whose elements are infinite sequences of real or complex numbers. Equivalently, it is a function space whose elements are functions from the natural numbers to the field K {\displaystyle \mathbb {K} } of real or complex numbers. The set of all such functions is naturally identified with the set of all possible infinite sequences with elements in K {\displaystyle \mathbb {K} }
, and can be turned into a vector space under the operations of pointwise addition of functions and pointwise scalar multiplication. All sequence spaces are linear subspaces of this space. Sequence spaces are typically equipped with a norm, or at least the structure of a topological vector space.
The most important sequence spaces in analysis are the ℓ p {\displaystyle \textstyle \ell ^{p}} spaces, consisting of the p {\displaystyle p}
-power summable sequences, with the p {\displaystyle p}
-norm. These are special cases of L p {\displaystyle L^{p}}
spaces for the counting measure on the set of natural numbers. Other important classes of sequences like convergent sequences or null sequences form sequence spaces, respectively denoted c {\displaystyle c}
and c 0 {\displaystyle c_{0}}
, with the sup norm. Any sequence space can also be equipped with the topology of pointwise convergence, under which it becomes a special kind of Fréchet space called FK-space.
A sequence x ∙ = ( x n ) n ∈ N {\displaystyle \textstyle x_{\bullet }=(x_{n})_{n\in \mathbb {N} }} in a set X {\displaystyle X}
is just an X {\displaystyle X}
-valued map x ∙ : N → X {\displaystyle x_{\bullet }:\mathbb {N} \to X}
whose value at n ∈ N {\displaystyle n\in \mathbb {N} }
is denoted by x n {\displaystyle x_{n}}
instead of the usual parentheses notation x ( n ) {\displaystyle x(n)}
.
Space of all sequences
[edit]
Let K {\displaystyle \mathbb {K} } denote the field either of real or complex numbers. The set K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}
of all sequences of elements of K {\displaystyle \mathbb {K} }
is a vector space for componentwise addition ( x n ) n ∈ N + ( y n ) n ∈ N = ( x n + y n ) n ∈ N , {\displaystyle \left(x_{n}\right)_{n\in \mathbb {N} }+\left(y_{n}\right)_{n\in \mathbb {N} }=\left(x_{n}+y_{n}\right)_{n\in \mathbb {N} },}
and componentwise scalar multiplication α ( x n ) n ∈ N = ( α x n ) n ∈ N . {\displaystyle \alpha \left(x_{n}\right)_{n\in \mathbb {N} }=\left(\alpha x_{n}\right)_{n\in \mathbb {N} }.}
A sequence space is any linear subspace of K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }} .
As a topological space, K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }} is naturally endowed with the product topology. Under this topology, K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}
is Fréchet, meaning that it is a complete, metrizable, locally convex topological vector space (TVS). However, this topology is rather pathological: there are no continuous norms on K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}
(and thus the product topology cannot be defined by any norm).[1] Among Fréchet spaces, K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}
is minimal in having no continuous norms:
But the product topology is also unavoidable: K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }} does not admit a strictly coarser Hausdorff, locally convex topology.[1] For that reason, the study of sequences begins by finding a strict linear subspace of interest, and endowing it with a topology different from the subspace topology.
For 0 < p < ∞ {\displaystyle 0<p<\infty } , ℓ p {\displaystyle \textstyle \ell ^{p}}
is the subspace of K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}
consisting of all sequences x ∙ = ( x n ) n ∈ N {\displaystyle \textstyle x_{\bullet }=(x_{n})_{n\in \mathbb {N} }}
satisfying ∑ n | x n | p < ∞ . {\displaystyle \sum _{n}|x_{n}|^{p}<\infty .}
If p ≥ 1 {\displaystyle p\geq 1} , then the real-valued function ‖ ⋅ ‖ p {\displaystyle \|\cdot \|_{p}}
on ℓ p {\displaystyle \textstyle \ell ^{p}}
defined by ‖ x ‖ p = ( ∑ n | x n | p ) 1 / p for all x ∈ ℓ p {\displaystyle \|x\|_{p}~=~{\Bigl (}\sum _{n}|x_{n}|^{p}{\Bigr )}^{1/p}\qquad {\text{ for all }}x\in \ell ^{p}}
defines a norm on ℓ p {\displaystyle \textstyle \ell ^{p}}
. In fact, ℓ p {\displaystyle \textstyle \ell ^{p}}
is a complete metric space with respect to this norm, and therefore is a Banach space.
If p = 2 {\displaystyle p=2} then ℓ 2 {\displaystyle \textstyle \ell ^{2}}
is also a Hilbert space when endowed with its canonical inner product, called the Euclidean inner product, defined for all x ∙ , y ∙ ∈ ℓ p {\displaystyle \textstyle x_{\bullet },y_{\bullet }\in \ell ^{p}}
by ⟨ x ∙ , y ∙ ⟩ = ∑ n x n ¯ y n . {\displaystyle \langle x_{\bullet },y_{\bullet }\rangle ~=~\sum _{n}{\overline {x_{n}\!}}\,y_{n}.}
The canonical norm induced by this inner product is the usual ℓ 2 {\displaystyle \textstyle \ell ^{2}}
-norm, meaning that ‖ x ‖ 2 = ⟨ x , x ⟩ {\displaystyle \textstyle \|\mathbf {x} \|_{2}={\sqrt {\langle \mathbf {x} ,\mathbf {x} \rangle }}}
for all x ∈ ℓ p {\displaystyle \textstyle \mathbf {x} \in \ell ^{p}}
.
If p = ∞ {\displaystyle p=\infty } , then ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
is defined to be the space of all bounded sequences endowed with the norm ‖ x ‖ ∞ = sup n | x n | , {\displaystyle \|x\|_{\infty }~=~\sup _{n}|x_{n}|,}
ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
is also a Banach space.
If 0 < p < 1 {\displaystyle 0<p<1} , then ℓ p {\displaystyle \textstyle \ell ^{p}}
does not carry a norm, but rather a metric defined by d ( x , y ) = ∑ n | x n − y n | p . {\displaystyle d(x,y)~=~\sum _{n}\left|x_{n}-y_{n}\right|^{p}.}
A convergent sequence is any sequence x ∙ ∈ K N {\displaystyle \textstyle x_{\bullet }\in \mathbb {K} ^{\mathbb {N} }} such that lim n → ∞ x n {\displaystyle \textstyle \lim _{n\to \infty }x_{n}}
exists. The set c {\displaystyle c}
of all convergent sequences is a vector subspace of K N < {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }<}
called the space of convergent sequences. Since every convergent sequence is bounded, c {\displaystyle c}
is a linear subspace of ℓ ∞ {\displaystyle \ell ^{\infty }}
. Moreover, this sequence space is a closed subspace of ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
with respect to the supremum norm, and so it is a Banach space with respect to this norm.
A sequence that converges to 0 {\displaystyle 0} is called a null sequence and is said to vanish. The set of all sequences that converge to 0 {\displaystyle 0}
is a closed vector subspace of c {\displaystyle c}
that when endowed with the supremum norm becomes a Banach space that is denoted by c 0 {\displaystyle c_{0}}
and is called the space of null sequences or the space of vanishing sequences.
The space of eventually zero sequences, c 00 {\displaystyle c_{00}} , is the subspace of c 0 {\displaystyle c_{0}}
consisting of all sequences which have only finitely many nonzero elements. This is not a closed subspace and therefore is not a Banach space with respect to the infinity norm. For example, the sequence ( x n k ) k ∈ N {\displaystyle \textstyle (x_{nk})_{k\in \mathbb {N} }}
where x n k = 1 / k {\displaystyle x_{nk}=1/k}
for the first n {\displaystyle n}
entries (for k = 1 , … , n {\displaystyle k=1,\ldots ,n}
) and is zero everywhere else (that is, ( x n k ) k ∈ N = {\displaystyle \textstyle (x_{nk})_{k\in \mathbb {N} }={}\!}
( 1 , 1 2 , … , {\displaystyle {\bigl (}1,{\tfrac {1}{2}},\ldots ,{}}
1 n − 1 , 1 n , {\displaystyle {\tfrac {1}{n-1}},{\tfrac {1}{n}},{}}
0 , 0 , … ) {\displaystyle 0,0,\ldots {\bigr )}}
) is a Cauchy sequence but it does not converge to a sequence in c 00 . {\displaystyle c_{00}.}
Space of all finite sequences
[edit]
Let K ∞ = { ( x 1 , x 2 , … ) ∈ K N : all but finitely many x i equal 0 } {\displaystyle \mathbb {K} ^{\infty }=\left\{\left(x_{1},x_{2},\ldots \right)\in \mathbb {K} ^{\mathbb {N} }:{\text{all but finitely many }}x_{i}{\text{ equal }}0\right\}}
denote the space of finite sequences over K {\displaystyle \mathbb {K} } . As a vector space, K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }}
is equal to c 00 {\displaystyle c_{00}}
, but K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }}
has a different topology.
For every natural number n ∈ N {\displaystyle n\in \mathbb {N} } , let K n {\displaystyle \textstyle \mathbb {K} ^{n}}
denote the usual Euclidean space endowed with the Euclidean topology and let In K n : K n → K ∞ {\displaystyle \textstyle \operatorname {In} _{\mathbb {K} ^{n}}:\mathbb {K} ^{n}\to \mathbb {K} ^{\infty }}
denote the canonical inclusion In K n ( x 1 , … , x n ) = ( x 1 , … , x n , 0 , 0 , … ) . {\displaystyle \operatorname {In} _{\mathbb {K} ^{n}}\left(x_{1},\ldots ,x_{n}\right)=\left(x_{1},\ldots ,x_{n},0,0,\ldots \right).}
The image of each inclusion is Im ( In K n ) = { ( x 1 , … , x n , 0 , 0 , … ) : x 1 , … , x n ∈ K } = K n × { ( 0 , 0 , … ) } {\displaystyle \operatorname {Im} \left(\operatorname {In} _{\mathbb {K} ^{n}}\right)=\left\{\left(x_{1},\ldots ,x_{n},0,0,\ldots \right):x_{1},\ldots ,x_{n}\in \mathbb {K} \right\}=\mathbb {K} ^{n}\times \left\{(0,0,\ldots )\right\}}
and consequently, K ∞ = ⋃ n ∈ N Im ( In K n ) . {\displaystyle \mathbb {K} ^{\infty }=\bigcup _{n\in \mathbb {N} }\operatorname {Im} \left(\operatorname {In} _{\mathbb {K} ^{n}}\right).}
This family of inclusions gives K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }} a final topology τ ∞ {\displaystyle \textstyle \tau ^{\infty }}
, defined to be the finest topology on K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }}
such that all the inclusions are continuous (an example of a coherent topology). With this topology, K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }}
becomes a complete, Hausdorff, locally convex, sequential, topological vector space that is not Fréchet–Urysohn. The topology τ ∞ {\displaystyle \textstyle \tau ^{\infty }}
is also strictly finer than the subspace topology induced on K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }}
by K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}
.
Convergence in τ ∞ {\displaystyle \textstyle \tau ^{\infty }} has a natural description: if v ∈ K ∞ {\displaystyle \textstyle v\in \mathbb {K} ^{\infty }}
and v ∙ {\displaystyle v_{\bullet }}
is a sequence in K ∞ {\displaystyle \textstyle \mathbb {K} ^{\infty }}
then v ∙ → v {\displaystyle v_{\bullet }\to v}
in τ ∞ {\displaystyle \textstyle \tau ^{\infty }}
if and only v ∙ {\displaystyle v_{\bullet }}
is eventually contained in a single image Im ( In K n ) {\displaystyle \textstyle \operatorname {Im} \left(\operatorname {In} _{\mathbb {K} ^{n}}\right)}
and v ∙ → v {\displaystyle v_{\bullet }\to v}
under the natural topology of that image.
Often, each image Im ( In K n ) {\displaystyle \textstyle \operatorname {Im} \left(\operatorname {In} _{\mathbb {K} ^{n}}\right)} is identified with the corresponding K n {\displaystyle \textstyle \mathbb {K} ^{n}}
; explicitly, the elements ( x 1 , … , x n ) ∈ K n {\displaystyle \textstyle \left(x_{1},\ldots ,x_{n}\right)\in \mathbb {K} ^{n}}
and ( x 1 , … , x n , 0 , 0 , 0 , … ) {\displaystyle \left(x_{1},\ldots ,x_{n},0,0,0,\ldots \right)}
are identified. This is facilitated by the fact that the subspace topology on Im ( In K n ) {\displaystyle \textstyle \operatorname {Im} \left(\operatorname {In} _{\mathbb {K} ^{n}}\right)}
, the quotient topology from the map In K n {\displaystyle \textstyle \operatorname {In} _{\mathbb {K} ^{n}}}
, and the Euclidean topology on K n {\displaystyle \textstyle \mathbb {K} ^{n}}
all coincide. With this identification, ( ( K ∞ , τ ∞ ) , ( In K n ) n ∈ N ) {\displaystyle \textstyle \left(\left(\mathbb {K} ^{\infty },\tau ^{\infty }\right),\left(\operatorname {In} _{\mathbb {K} ^{n}}\right)_{n\in \mathbb {N} }\right)}
is the direct limit of the directed system ( ( K n ) n ∈ N , ( In K m → K n ) m ≤ n ∈ N , N ) , {\displaystyle \textstyle \left(\left(\mathbb {K} ^{n}\right)_{n\in \mathbb {N} },\left(\operatorname {In} _{\mathbb {K} ^{m}\to \mathbb {K} ^{n}}\right)_{m\leq n\in \mathbb {N} },\mathbb {N} \right),}
where every inclusion adds trailing zeros: In K m → K n ( x 1 , … , x m ) = ( x 1 , … , x m , 0 , … , 0 ) . {\displaystyle \operatorname {In} _{\mathbb {K} ^{m}\to \mathbb {K} ^{n}}\left(x_{1},\ldots ,x_{m}\right)=\left(x_{1},\ldots ,x_{m},0,\ldots ,0\right).}
This shows ( K ∞ , τ ∞ ) {\displaystyle \textstyle \left(\mathbb {K} ^{\infty },\tau ^{\infty }\right)}
is an LB-space.
Other sequence spaces
[edit]
The space of bounded series, denote by bs, is the space of sequences x {\displaystyle x} for which sup n | ∑ i = 0 n x i | < ∞ . {\displaystyle \sup _{n}{\biggl \vert }\sum _{i=0}^{n}x_{i}{\biggr \vert }<\infty .}
This space, when equipped with the norm ‖ x ‖ b s = sup n | ∑ i = 0 n x i | , {\displaystyle \|x\|_{bs}=\sup _{n}{\biggl \vert }\sum _{i=0}^{n}x_{i}{\biggr \vert },}
is a Banach space isometrically isomorphic to ℓ ∞ , {\displaystyle \textstyle \ell ^{\infty },} via the linear mapping ( x n ) n ∈ N ↦ ( ∑ i = 0 n x i ) n ∈ N . {\displaystyle (x_{n})_{n\in \mathbb {N} }\mapsto {\biggl (}\sum _{i=0}^{n}x_{i}{\biggr )}_{n\in \mathbb {N} }.}
The subspace c s {\displaystyle cs} consisting of all convergent series is a subspace that goes over to the space c {\displaystyle c}
under this isomorphism.
The space Φ {\displaystyle \Phi } or c 00 {\displaystyle c_{00}}
is defined to be the space of all infinite sequences with only a finite number of non-zero terms (sequences with finite support). This set is dense in many sequence spaces.
Properties of ℓ p spaces and the space _c_0
[edit]
The space ℓ 2 {\displaystyle \textstyle \ell ^{2}} is the only ℓ p {\displaystyle \textstyle \ell ^{p}}
space that is a Hilbert space, since any norm that is induced by an inner product should satisfy the parallelogram law
‖ x + y ‖ p 2 + ‖ x − y ‖ p 2 = 2 ‖ x ‖ p 2 + 2 ‖ y ‖ p 2 . {\displaystyle \|x+y\|_{p}^{2}+\|x-y\|_{p}^{2}=2\|x\|_{p}^{2}+2\|y\|_{p}^{2}.}
Substituting two distinct unit vectors for x {\displaystyle x} and y {\displaystyle y}
directly shows that the identity is not true unless p = 2 {\displaystyle p=2}
.
Each ℓ p {\displaystyle \textstyle \ell ^{p}} is distinct, in that ℓ p {\displaystyle \textstyle \ell ^{p}}
is a strict subset of ℓ s {\displaystyle \textstyle \ell ^{s}}
whenever p < s {\displaystyle p<s}
; furthermore, ℓ p {\displaystyle \textstyle \ell ^{p}}
is not linearly isomorphic to ℓ s {\displaystyle \textstyle \ell ^{s}}
when p ≠ s {\displaystyle p\neq s}
. In fact, by Pitt's theorem (Pitt 1936), every bounded linear operator from ℓ s {\displaystyle \textstyle \ell ^{s}}
to ℓ p {\displaystyle \textstyle \ell ^{p}}
is compact when p < s {\displaystyle p<s}
. No such operator can be an isomorphism; and further, it cannot be an isomorphism on any infinite-dimensional subspace of ℓ s {\displaystyle \ell ^{s}}
, and is thus said to be strictly singular.
If 1 < p < ∞ {\displaystyle 1<p<\infty } , then the (continuous) dual space of ℓ p {\displaystyle \textstyle \ell ^{p}}
is isometrically isomorphic to ℓ q {\displaystyle \textstyle \ell ^{q}}
, where q {\displaystyle q}
is the Hölder conjugate of p {\displaystyle p}
: 1 / p + 1 / q = 1 {\displaystyle 1/p+1/q=1}
. The specific isomorphism associates to an element x {\displaystyle x}
of ℓ q {\displaystyle \textstyle \ell ^{q}}
the functional L x ( y ) = ∑ n x n y n {\displaystyle L_{x}(y)=\sum _{n}x_{n}y_{n}}
for y {\displaystyle y}
in ℓ p {\displaystyle \textstyle \ell ^{p}}
. Hölder's inequality implies that L x {\displaystyle L_{x}}
is a bounded linear functional on ℓ p {\displaystyle \textstyle \ell ^{p}}
, and in fact | L x ( y ) | ≤ ‖ x ‖ q ‖ y ‖ p {\displaystyle |L_{x}(y)|\leq \|x\|_{q}\,\|y\|_{p}}
so that the operator norm satisfies ‖ L x ‖ ( ℓ p ) ∗ = d e f sup y ∈ ℓ p , y ≠ 0 | L x ( y ) | ‖ y ‖ p ≤ ‖ x ‖ q . {\displaystyle \|L_{x}\|_{(\ell ^{p})^{*}}\mathrel {\stackrel {\rm {def}}{=}} \sup _{y\in \ell ^{p},y\not =0}{\frac {|L_{x}(y)|}{\|y\|_{p}}}\leq \|x\|_{q}.}
In fact, taking y {\displaystyle y}
to be the element of ℓ p {\displaystyle \textstyle \ell ^{p}}
with y n = { 0 if x n = 0 x n − 1 | x n | q if x n ≠ 0 {\displaystyle y_{n}={\begin{cases}0&{\text{if}}\ x_{n}=0\\x_{n}^{-1}|x_{n}|^{q}&{\text{if}}~x_{n}\neq 0\end{cases}}}
gives L x ( y ) = ‖ x ‖ q {\displaystyle L_{x}(y)=\|x\|_{q}}
, so that in fact ‖ L x ‖ ( ℓ p ) ∗ = ‖ x ‖ q . {\displaystyle \|L_{x}\|_{(\ell ^{p})^{*}}=\|x\|_{q}.}
Conversely, given a bounded linear functional L {\displaystyle L}
on ℓ p {\displaystyle \textstyle \ell ^{p}}
, the sequence defined by x n = L ( e n ) {\displaystyle x_{n}=L(e_{n})}
lies in ℓ q {\displaystyle \textstyle \ell ^{q}}
. Thus the mapping x ↦ L x {\displaystyle x\mapsto L_{x}}
gives an isometry κ q : ℓ q → ( ℓ p ) ∗ . {\displaystyle \kappa _{q}:\ell ^{q}\to (\ell ^{p})^{*}.}
The map ℓ q → κ q ( ℓ p ) ∗ → ( κ q ∗ ) − 1 ( ℓ q ) ∗ ∗ {\displaystyle \ell ^{q}\xrightarrow {\kappa _{q}} (\ell ^{p})^{*}\xrightarrow {(\kappa _{q}^{*})^{-1}} (\ell ^{q})^{**}} obtained by composing κ p {\displaystyle \kappa _{p}}
with the inverse of its transpose coincides with the canonical injection of ℓ q {\displaystyle \textstyle \ell ^{q}}
into its double dual. As a consequence ℓ q {\displaystyle \textstyle \ell ^{q}}
is a reflexive space. By abuse of notation, it is typical to identify ℓ q {\displaystyle \textstyle \ell ^{q}}
with the dual of ℓ p {\displaystyle \textstyle \ell ^{p}}
: ( ℓ p ) ∗ = ℓ q {\displaystyle \textstyle (\ell ^{p})^{*}=\ell ^{q}}
. Then reflexivity is understood by the sequence of identifications ( ℓ p ) ∗ ∗ = ( ℓ q ) ∗ = ℓ p {\displaystyle \textstyle (\ell ^{p})^{**}=(\ell ^{q})^{*}=\ell ^{p}}
.
The space c 0 {\displaystyle c_{0}} is defined as the space of all sequences converging to zero, with norm identical to ‖ x ‖ ∞ {\displaystyle \|x\|_{\infty }}
. It is a closed subspace of ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
, hence a Banach space. The dual of c 0 {\displaystyle c_{0}}
is ℓ 1 {\displaystyle \textstyle \ell ^{1}}
; the dual of ℓ 1 {\displaystyle \textstyle \ell ^{1}}
is ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
. For the case of natural numbers index set, the ℓ p {\displaystyle \textstyle \ell ^{p}}
and c 0 {\displaystyle c_{0}}
are separable, with the sole exception of ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
. The dual of ℓ ∞ {\displaystyle \textstyle \ell ^{\infty }}
is the ba space.
The spaces c 0 {\displaystyle c_{0}} and ℓ p {\displaystyle \textstyle \ell ^{p}}
(for 1 ≤ p < ∞ {\displaystyle 1\leq p<\infty }
) have a canonical unconditional Schauder basis { e i : i = 1 , 2 , … } {\displaystyle \{e_{i}:i=1,2,\ldots \}}
, where e i {\displaystyle e_{i}}
is the sequence which is zero but for a 1 {\displaystyle 1}
in the i {\displaystyle i}
th entry.
The space ℓ1 has the Schur property: In ℓ1, any sequence that is weakly convergent is also strongly convergent (Schur 1921). However, since the weak topology on infinite-dimensional spaces is strictly weaker than the strong topology, there are nets in ℓ1 that are weak convergent but not strong convergent.
The ℓ p {\displaystyle \textstyle \ell ^{p}} spaces can be embedded into many Banach spaces. The question of whether every infinite-dimensional Banach space contains an isomorph of some ℓ p {\displaystyle \textstyle \ell ^{p}}
or of c 0 {\displaystyle c_{0}}
, was answered negatively by B. S. Tsirelson's construction of Tsirelson space in 1974. The dual statement, that every separable Banach space is linearly isometric to a quotient space of ℓ 1 {\displaystyle \textstyle \ell ^{1}}
, was answered in the affirmative by Banach & Mazur (1933). That is, for every separable Banach space X {\displaystyle X}
, there exists a quotient map Q : ℓ 1 → X {\displaystyle \textstyle Q:\ell ^{1}\to X}
, so that X {\displaystyle X}
is isomorphic to ℓ 1 / ker Q {\displaystyle \textstyle \ell ^{1}/\ker Q}
. In general, ker Q {\displaystyle \operatorname {ker} Q}
is not complemented in ℓ 1 {\displaystyle \textstyle \ell ^{1}}
, that is, there does not exist a subspace Y {\displaystyle Y}
of ℓ 1 {\displaystyle \textstyle \ell ^{1}}
such that ℓ 1 = Y ⊕ ker Q {\displaystyle \textstyle \ell ^{1}=Y\oplus \ker Q}
. In fact, ℓ 1 {\displaystyle \textstyle \ell ^{1}}
has uncountably many uncomplemented subspaces that are not isomorphic to one another (for example, take X = ℓ p {\displaystyle \textstyle X=\ell ^{p}}
; since there are uncountably many such X {\displaystyle X}
's, and since no ℓ p {\displaystyle \textstyle \ell ^{p}}
is isomorphic to any other, there are thus uncountably many ker Q's).
Except for the trivial finite-dimensional case, an unusual feature of ℓ q {\displaystyle \textstyle \ell ^{q}} is that it is not polynomially reflexive.
ℓ p spaces are increasing in p
[edit]
For p ∈ [ 1 , ∞ ] {\displaystyle p\in [1,\infty ]} , the spaces ℓ p {\displaystyle \textstyle \ell ^{p}}
are increasing in p {\displaystyle p}
, with the inclusion operator being continuous: for 1 ≤ p < q ≤ ∞ {\displaystyle 1\leq p<q\leq \infty }
, one has ‖ x ‖ q ≤ ‖ x ‖ p {\displaystyle \|x\|_{q}\leq \|x\|_{p}}
. Indeed, the inequality is homogeneous in the x i {\displaystyle x_{i}}
, so it is sufficient to prove it under the assumption that ‖ x ‖ p = 1 {\displaystyle \|x\|_{p}=1}
. In this case, we need only show that ∑ | x i | q ≤ 1 {\displaystyle \textstyle \sum |x_{i}|^{q}\leq 1}
for q > p {\displaystyle q>p}
. But if ‖ x ‖ p = 1 {\displaystyle \|x\|_{p}=1}
, then | x i | ≤ 1 {\displaystyle |x_{i}|\leq 1}
for all i {\displaystyle i}
, and then ∑ | x i | q ≤ {\displaystyle \textstyle \sum |x_{i}|^{q}\leq {}\!}
∑ | x i | p = 1 {\displaystyle \textstyle \sum |x_{i}|^{p}=1}
.
_ℓ_2 is isomorphic to all separable, infinite dimensional Hilbert spaces
[edit]
Let H {\displaystyle H} be a separable Hilbert space. Every orthogonal set in H {\displaystyle H}
is at most countable (i.e. has finite dimension or ℵ 0 {\displaystyle \aleph _{0}}
).[2] The following two items are related:
Properties of _ℓ_1 spaces
[edit]
A sequence of elements in ℓ 1 {\displaystyle \textstyle \ell ^{1}} converges in the space of complex sequences ℓ 1 {\displaystyle \textstyle \ell ^{1}}
if and only if it converges weakly in this space.[3]If K {\displaystyle K}
is a subset of this space, then the following are equivalent:[3]
- K {\displaystyle K}
is compact;
- K {\displaystyle K}
is weakly compact;
- K {\displaystyle K}
is bounded, closed, and equismall at infinity.
Here K {\displaystyle K} being equismall at infinity means that for every ε > 0 {\displaystyle \varepsilon >0}
, there exists a natural number n ε ≥ 0 {\displaystyle n_{\varepsilon }\geq 0}
such that ∑ n = n ϵ ∞ | s n | < ε {\displaystyle \textstyle \sum _{n=n_{\epsilon }}^{\infty }|s_{n}|<\varepsilon }
for all s = ( s n ) n = 1 ∞ ∈ K {\displaystyle \textstyle s=\left(s_{n}\right)_{n=1}^{\infty }\in K}
.
- ^ a b c Jarchow 1981, pp. 129–130.
- ^ Debnath, Lokenath; Mikusinski, Piotr (2005). Hilbert Spaces with Applications. Elsevier. pp. 120–121. ISBN 978-0-12-2084386.
- ^ a b Trèves 2006, pp. 451–458.
- Banach, Stefan; Mazur, S. (1933), "Zur Theorie der linearen Dimension", Studia Mathematica, 4: 100–112, doi:10.4064/sm-4-1-100-112.
- Dunford, Nelson; Schwartz, Jacob T. (1958), Linear operators, volume I, Wiley-Interscience.
- Jarchow, Hans (1981). Locally convex spaces. Stuttgart: B.G. Teubner. ISBN 978-3-519-02224-4. OCLC 8210342.
- Pitt, H.R. (1936), "A note on bilinear forms", J. London Math. Soc., 11 (3): 174–180, doi:10.1112/jlms/s1-11.3.174.
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Schur, J. (1921), "Über lineare Transformationen in der Theorie der unendlichen Reihen", Journal für die reine und angewandte Mathematik, 151: 79–111, doi:10.1515/crll.1921.151.79.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.