Sequence space
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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.
Definition
A sequence x ∙ = ( x n ) n ∈ N {\displaystyle \textstyle x_{\bullet }=(x_{n})_{n\in \mathbb {N} }} in a set X {\displaystyle X} is 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
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). Among Fréchet spaces, K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }} is minimal in having no continuous norms:
Theorem—Let X {\displaystyle X} be a Fréchet space over K {\displaystyle \mathbb {K} }. Then the following are equivalent:
- X {\displaystyle X} admits no continuous norm (that is, any continuous seminorm on X {\displaystyle X} has a nontrivial null space).
- X {\displaystyle X} contains a vector subspace TVS-isomorphic to K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}.
- X {\displaystyle X} contains a complemented vector subspace TVS-isomorphic to K N {\displaystyle \textstyle \mathbb {K} ^{\mathbb {N} }}.
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. 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.
ℓ p spaces
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}.}
c , c 0 and c 00
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
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
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
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
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
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}}). The following two items are related:
- If H {\displaystyle H} is infinite dimensional, then it is isomorphic to ℓ 2 {\displaystyle \textstyle \ell ^{2}},
- If dim ( H ) = N {\displaystyle \operatorname {dim} (H)=N}, then H {\displaystyle H} is isomorphic to C N {\displaystyle \textstyle \mathbb {C} ^{N}}.
Properties of ℓ 1 spaces
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. If K {\displaystyle K} is a subset of this space, then the following are equivalent:
- 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}.
See also
Bibliography
- Banach, Stefan; Mazur, S. (1933), "Zur Theorie der linearen Dimension", Studia Mathematica, 4: 100–112, doi:.
- 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 .
- Pitt, H.R. (1936), "A note on bilinear forms", J. London Math. Soc., 11 (3): 174–180, doi:.
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC .
- 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 .
- Schur, J. (1921), "Über lineare Transformationen in der Theorie der unendlichen Reihen", Journal für die reine und angewandte Mathematik, 151: 79–111, doi:.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC .