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Schauder basis

In mathematics, a Schauder basis or countable basis is similar to the usual (Hamel) basis of a vector space; the difference is that Hamel bases use linear combinations that are finite sums, while for Schauder bases they may be infinite sums. This makes Schauder bases more suitable for the analysis of infinite-dimensional topological vector spaces including Banach spaces.

Schauder bases were described by Juliusz Schauder in 1927,[1][2] although such bases were discussed earlier. For example, the Haar basis was given in 1909, and Georg Faber discussed in 1910 a basis for continuous functions on an interval, sometimes called a Faber–Schauder system.[3]

Definitions

Let V denote a topological vector space over the field F. A Schauder basis is a sequence {bn} of elements of V such that for every element vV there exists a unique sequence {αn} of scalars in F so that

 
The convergence of the infinite sum is implicitly that of the ambient topology, i.e.,
 
but can be reduced to only weak convergence in a normed vector space (such as a Banach space).[4] Unlike a Hamel basis, the elements of the basis must be ordered since the series may not converge unconditionally.

Note that some authors define Schauder bases to be countable (as above), while others use the term to include uncountable bases. In either case, the sums themselves always are countable. An uncountable Schauder basis is a linearly ordered set rather than a sequence, and each sum inherits the order of its terms from this linear ordering. They can and do arise in practice. As an example, a separable Hilbert space can only have a countable Schauder basis but a non-separable Hilbert space may have an uncountable one.

Though the definition above technically does not require a normed space, a norm is necessary to say almost anything useful about Schauder bases. The results below assume the existence of a norm.

A Schauder basis {bn}n ≥ 0 is said to be normalized when all the basis vectors have norm 1 in the Banach space V.

A sequence {xn}n ≥ 0 in V is a basic sequence if it is a Schauder basis of its closed linear span.

Two Schauder bases, {bn} in V and {cn} in W, are said to be equivalent if there exist two constants c > 0 and C such that for every natural number N ≥ 0 and all sequences {αn} of scalars,

 

A family of vectors in V is total if its linear span (the set of finite linear combinations) is dense in V. If V is a Hilbert space, an orthogonal basis is a total subset B of V such that elements in B are nonzero and pairwise orthogonal. Further, when each element in B has norm 1, then B is an orthonormal basis of V.

Properties

Let {bn} be a Schauder basis of a Banach space V over F = R or C. It is a subtle consequence of the open mapping theorem that the linear mappings {Pn} defined by

 

are uniformly bounded by some constant C.[5] When C = 1, the basis is called a monotone basis. The maps {Pn} are the basis projections.

Let {b*n} denote the coordinate functionals, where b*n assigns to every vector v in V the coordinate αn of v in the above expansion. Each b*n is a bounded linear functional on V. Indeed, for every vector v in V,

 

These functionals {b*n} are called biorthogonal functionals associated to the basis {bn}. When the basis {bn} is normalized, the coordinate functionals {b*n} have norm ≤ 2C in the continuous dual V ′ of V.

A Banach space with a Schauder basis is necessarily separable, but the converse is false. Since every vector v in a Banach space V with a Schauder basis is the limit of Pn(v), with Pn of finite rank and uniformly bounded, such a space V satisfies the bounded approximation property.

A theorem attributed to Mazur[6] asserts that every infinite-dimensional Banach space V contains a basic sequence, i.e., there is an infinite-dimensional subspace of V that has a Schauder basis. The basis problem is the question asked by Banach, whether every separable Banach space has a Schauder basis. This was negatively answered by Per Enflo who constructed a separable Banach space failing the approximation property, thus a space without a Schauder basis.[7]

Examples

The standard unit vector bases of c0, and of p for 1 ≤ p < ∞, are monotone Schauder bases. In this unit vector basis {bn}, the vector bn in V = c0 or in V = ℓp is the scalar sequence [bn, j]j where all coordinates bn, j are 0, except the nth coordinate:

 

where δn, j is the Kronecker delta. The space ℓ is not separable, and therefore has no Schauder basis.

Every orthonormal basis in a separable Hilbert space is a Schauder basis. Every countable orthonormal basis is equivalent to the standard unit vector basis in ℓ2.

The Haar system is an example of a basis for Lp([0, 1]), when 1 ≤ p < ∞.[2] When 1 < p < ∞, another example is the trigonometric system defined below. The Banach space C([0, 1]) of continuous functions on the interval [0, 1], with the supremum norm, admits a Schauder basis. The Faber–Schauder system is the most commonly used Schauder basis for C([0, 1]).[3][8]

Several bases for classical spaces were discovered before Banach's book appeared (Banach (1932)), but some other cases remained open for a long time. For example, the question of whether the disk algebra A(D) has a Schauder basis remained open for more than forty years, until Bočkarev showed in 1974 that a basis constructed from the Franklin system exists in A(D).[9] One can also prove that the periodic Franklin system[10] is a basis for a Banach space Ar isomorphic to A(D).[11] This space Ar consists of all complex continuous functions on the unit circle T whose conjugate function is also continuous. The Franklin system is another Schauder basis for C([0, 1]),[12] and it is a Schauder basis in Lp([0, 1]) when 1 ≤ p < ∞.[13] Systems derived from the Franklin system give bases in the space C1([0, 1]2) of differentiable functions on the unit square.[14] The existence of a Schauder basis in C1([0, 1]2) was a question from Banach's book.[15]

Relation to Fourier series

Let {xn} be, in the real case, the sequence of functions

 

or, in the complex case,

 

The sequence {xn} is called the trigonometric system. It is a Schauder basis for the space Lp([0, 2π]) for any p such that 1 < p < ∞. For p = 2, this is the content of the Riesz–Fischer theorem, and for p ≠ 2, it is a consequence of the boundedness on the space Lp([0, 2π]) of the Hilbert transform on the circle. It follows from this boundedness that the projections PN defined by

 

are uniformly bounded on Lp([0, 2π]) when 1 < p < ∞. This family of maps {PN} is equicontinuous and tends to the identity on the dense subset consisting of trigonometric polynomials. It follows that PNf tends to f in Lp-norm for every fLp([0, 2π]). In other words, {xn} is a Schauder basis of Lp([0, 2π]).[16]

However, the set {xn} is not a Schauder basis for L1([0, 2π]). This means that there are functions in L1 whose Fourier series does not converge in the L1 norm, or equivalently, that the projections PN are not uniformly bounded in L1-norm. Also, the set {xn} is not a Schauder basis for C([0, 2π]).

Bases for spaces of operators

The space K(ℓ2) of compact operators on the Hilbert space ℓ2 has a Schauder basis. For every x, y in ℓ2, let xy denote the rank one operator v ∈ ℓ2 → <v, x > y. If {en}n ≥ 1 is the standard orthonormal basis of ℓ2, a basis for K(ℓ2) is given by the sequence[17]

 

For every n, the sequence consisting of the n2 first vectors in this basis is a suitable ordering of the family {ejek}, for 1 ≤ j, kn.

The preceding result can be generalized: a Banach space X with a basis has the approximation property, so the space K(X) of compact operators on X is isometrically isomorphic[18] to the injective tensor product

 

If X is a Banach space with a Schauder basis {en}n ≥ 1 such that the biorthogonal functionals are a basis of the dual, that is to say, a Banach space with a shrinking basis, then the space K(X) admits a basis formed by the rank one operators e*jek : ve*j(v) ek, with the same ordering as before.[17] This applies in particular to every reflexive Banach space X with a Schauder basis

On the other hand, the space B(ℓ2) has no basis, since it is non-separable. Moreover, B(ℓ2) does not have the approximation property.[19]

Unconditionality

A Schauder basis {bn} is unconditional if whenever the series   converges, it converges unconditionally. For a Schauder basis {bn}, this is equivalent to the existence of a constant C such that

 

for all natural numbers n, all scalar coefficients {αk} and all signs εk = ±1. Unconditionality is an important property since it allows one to forget about the order of summation. A Schauder basis is symmetric if it is unconditional and uniformly equivalent to all its permutations: there exists a constant C such that for every natural number n, every permutation π of the set {0, 1, ..., n}, all scalar coefficients {αk} and all signs {εk},

 

The standard bases of the sequence spaces c0 and ℓp for 1 ≤ p < ∞, as well as every orthonormal basis in a Hilbert space, are unconditional. These bases are also symmetric.

The trigonometric system is not an unconditional basis in Lp, except for p = 2.

The Haar system is an unconditional basis in Lp for any 1 < p < ∞. The space L1([0, 1]) has no unconditional basis.[20]

A natural question is whether every infinite-dimensional Banach space has an infinite-dimensional subspace with an unconditional basis. This was solved negatively by Timothy Gowers and Bernard Maurey in 1992.[21]

Schauder bases and duality

A basis {en}n≥0 of a Banach space X is boundedly complete if for every sequence {an}n≥0 of scalars such that the partial sums

 

are bounded in X, the sequence {Vn} converges in X. The unit vector basis for ℓp, 1 ≤ p < ∞, is boundedly complete. However, the unit vector basis is not boundedly complete in c0. Indeed, if an = 1 for every n, then

 

for every n, but the sequence {Vn} is not convergent in c0, since ||Vn+1Vn|| = 1 for every n.

A space X with a boundedly complete basis {en}n≥0 is isomorphic to a dual space, namely, the space X is isomorphic to the dual of the closed linear span in the dual X ′ of the biorthogonal functionals associated to the basis {en}.[22]

A basis {en}n≥0 of X is shrinking if for every bounded linear functional f on X, the sequence of non-negative numbers

 

tends to 0 when n → ∞, where Fn is the linear span of the basis vectors em for mn. The unit vector basis for ℓp, 1 < p < ∞, or for c0, is shrinking. It is not shrinking in ℓ1: if f is the bounded linear functional on ℓ1 given by

 

then φnf(en) = 1 for every n.

A basis [en]n ≥ 0 of X is shrinking if and only if the biorthogonal functionals [e*n]n ≥ 0 form a basis of the dual X ′.[23]

Robert C. James characterized reflexivity in Banach spaces with basis: the space X with a Schauder basis is reflexive if and only if the basis is both shrinking and boundedly complete.[24] James also proved that a space with an unconditional basis is non-reflexive if and only if it contains a subspace isomorphic to c0 or ℓ1.[25]

Related concepts

A Hamel basis is a subset B of a vector space V such that every element v ∈ V can uniquely be written as

 

with αbF, with the extra condition that the set

 

is finite. This property makes the Hamel basis unwieldy for infinite-dimensional Banach spaces; as a Hamel basis for an infinite-dimensional Banach space has to be uncountable. (Every finite-dimensional subspace of an infinite-dimensional Banach space X has empty interior, and is no-where dense in X. It then follows from the Baire category theorem that a countable union of these finite-dimensional subspaces cannot serve as a basis.[26])

See also

Notes

  1. ^ see Schauder (1927).
  2. ^ a b Schauder, Juliusz (1928). "Eine Eigenschaft des Haarschen Orthogonalsystems". Mathematische Zeitschrift. 28: 317–320. doi:10.1007/bf01181164.
  3. ^ a b Faber, Georg (1910), "Über die Orthogonalfunktionen des Herrn Haar", Deutsche Math.-Ver (in German) 19: 104–112. ISSN 0012-0456; http://www-gdz.sub.uni-goettingen.de/cgi-bin/digbib.cgi?PPN37721857X ; http://resolver.sub.uni-goettingen.de/purl?GDZPPN002122553
  4. ^ Karlin, S. (December 1948). "Bases in Banach spaces". Duke Mathematical Journal. 15 (4): 971–985. doi:10.1215/S0012-7094-48-01587-7. ISSN 0012-7094.
  5. ^ see Theorem 4.10 in Fabian et al. (2011).
  6. ^ for an early published proof, see p. 157, C.3 in Bessaga, C. and Pełczyński, A. (1958), "On bases and unconditional convergence of series in Banach spaces", Studia Math. 17: 151–164. In the first lines of this article, Bessaga and Pełczyński write that Mazur's result appears without proof in Banach's book —to be precise, on p. 238— but they do not provide a reference containing a proof.
  7. ^ Enflo, Per (July 1973). "A counterexample to the approximation problem in Banach spaces". Acta Mathematica. 130 (1): 309–317. doi:10.1007/BF02392270.
  8. ^ see pp. 48–49 in Schauder (1927). Schauder defines there a general model for this system, of which the Faber–Schauder system used today is a special case.
  9. ^ see Bočkarev, S. V. (1974), "Existence of a basis in the space of functions analytic in the disc, and some properties of Franklin's system", (in Russian) Mat. Sb. (N.S.) 95(137): 3–18, 159. Translated in Math. USSR-Sb. 24 (1974), 1–16. The question is in Banach's book, Banach (1932) p. 238, §3.
  10. ^ See p. 161, III.D.20 in Wojtaszczyk (1991).
  11. ^ See p. 192, III.E.17 in Wojtaszczyk (1991).
  12. ^ Franklin, Philip (1928). "A set of continuous orthogonal functions". Math. Ann. 100: 522–529. doi:10.1007/bf01448860.
  13. ^ see p. 164, III.D.26 in Wojtaszczyk (1991).
  14. ^ see Ciesielski, Z (1969). "A construction of basis in C1(I2)". Studia Math. 33: 243–247. and Schonefeld, Steven (1969). "Schauder bases in spaces of differentiable functions". Bull. Amer. Math. Soc. 75 (3): 586–590. doi:10.1090/s0002-9904-1969-12249-4.
  15. ^ see p. 238, §3 in Banach (1932).
  16. ^ see p. 40, II.B.11 in Wojtaszczyk (1991).
  17. ^ a b see Proposition 4.25, p. 88 in Ryan (2002).
  18. ^ see Corollary 4.13, p. 80 in Ryan (2002).
  19. ^ see Szankowski, Andrzej (1981). "B(H) does not have the approximation property". Acta Math. 147: 89–108. doi:10.1007/bf02392870.
  20. ^ see p. 24 in Lindenstrauss & Tzafriri (1977).
  21. ^ Gowers, W. Timothy; Maurey, Bernard (6 May 1992). "The unconditional basic sequence problem". arXiv:math/9205204.
  22. ^ see p. 9 in Lindenstrauss & Tzafriri (1977).
  23. ^ see p. 8 in Lindenstrauss & Tzafriri (1977).
  24. ^ See James (1950) and Lindenstrauss & Tzafriri (1977, p. 9).
  25. ^ See James (1950) and Lindenstrauss & Tzafriri (1977, p. 23).
  26. ^ Carothers, N. L. (2005), A short course on Banach space theory, Cambridge University Press ISBN 0-521-60372-2

This article incorporates material from Countable basis on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.

References

  • Schauder, Juliusz (1927), "Zur Theorie stetiger Abbildungen in Funktionalraumen", Mathematische Zeitschrift (in German), 26: 47–65, doi:10.1007/BF01475440, hdl:10338.dmlcz/104881.
  • Banach, Stefan (1932). [Theory of Linear Operations] (PDF). Monografie Matematyczne (in French). Vol. 1. Warszawa: Subwencji Funduszu Kultury Narodowej. Zbl 0005.20901. Archived from the original (PDF) on 11 January 2014. Retrieved 11 July 2020.
  • Fabian, Marián; Habala, Petr; Hájek, Petr; Montesinos, Vicente; Zizler, Václav (2011), Banach Space Theory: The Basis for Linear and Nonlinear Analysis, CMS Books in Mathematics, Springer, ISBN 978-1-4419-7514-0
  • James, Robert C. (1950). "Bases and reflexivity of Banach spaces". The Annals of Mathematics. 52 (3): 518–527. doi:10.2307/1969430. MR39915
  • Lindenstrauss, Joram; Tzafriri, Lior (1977), Classical Banach Spaces I, Sequence Spaces, Ergebnisse der Mathematik und ihrer Grenzgebiete, vol. 92, Berlin: Springer-Verlag, ISBN 3-540-08072-4
  • Ryan, Raymond A. (2002), Introduction to Tensor Products of Banach Spaces, Springer Monographs in Mathematics, London: Springer-Verlag, pp. xiv+225, ISBN 1-85233-437-1
  • Schaefer, Helmut H. (1971), Topological vector spaces, Graduate Texts in Mathematics, vol. 3, New York: Springer-Verlag, pp. xi+294, ISBN 0-387-98726-6.
  • Wojtaszczyk, Przemysław (1991), Banach spaces for analysts, Cambridge Studies in Advanced Mathematics, vol. 25, Cambridge: Cambridge University Press, pp. xiv+382, ISBN 0-521-35618-0.
  • Golubov, B.I. (2001) [1994], "Faber–Schauder system", Encyclopedia of Mathematics, EMS Press

.

Further reading

  • Kufner, Alois (2013), Function spaces, De Gruyter Series in Nonlinear analysis and applications, vol. 14, Prague: Academia Publishing House of the Czechoslovak Academy of Sciences, de Gruyter


schauder, basis, mathematics, countable, basis, similar, usual, hamel, basis, vector, space, difference, that, hamel, bases, linear, combinations, that, finite, sums, while, schauder, bases, they, infinite, sums, this, makes, schauder, bases, more, suitable, a. In mathematics a Schauder basis or countable basis is similar to the usual Hamel basis of a vector space the difference is that Hamel bases use linear combinations that are finite sums while for Schauder bases they may be infinite sums This makes Schauder bases more suitable for the analysis of infinite dimensional topological vector spaces including Banach spaces Schauder bases were described by Juliusz Schauder in 1927 1 2 although such bases were discussed earlier For example the Haar basis was given in 1909 and Georg Faber discussed in 1910 a basis for continuous functions on an interval sometimes called a Faber Schauder system 3 Contents 1 Definitions 2 Properties 3 Examples 3 1 Relation to Fourier series 3 2 Bases for spaces of operators 4 Unconditionality 5 Schauder bases and duality 6 Related concepts 7 See also 8 Notes 9 References 10 Further readingDefinitions EditLet V denote a topological vector space over the field F A Schauder basis is a sequence bn of elements of V such that for every element v V there exists a unique sequence an of scalars in F so thatv n 0 a n b n displaystyle v sum n 0 infty alpha n b n text The convergence of the infinite sum is implicitly that of the ambient topology i e lim n k 0 n a k b k v displaystyle lim n to infty sum k 0 n alpha k b k v text but can be reduced to only weak convergence in a normed vector space such as a Banach space 4 Unlike a Hamel basis the elements of the basis must be ordered since the series may not converge unconditionally Note that some authors define Schauder bases to be countable as above while others use the term to include uncountable bases In either case the sums themselves always are countable An uncountable Schauder basis is a linearly ordered set rather than a sequence and each sum inherits the order of its terms from this linear ordering They can and do arise in practice As an example a separable Hilbert space can only have a countable Schauder basis but a non separable Hilbert space may have an uncountable one Though the definition above technically does not require a normed space a norm is necessary to say almost anything useful about Schauder bases The results below assume the existence of a norm A Schauder basis bn n 0 is said to be normalized when all the basis vectors have norm 1 in the Banach space V A sequence xn n 0 in V is a basic sequence if it is a Schauder basis of its closed linear span Two Schauder bases bn in V and cn in W are said to be equivalent if there exist two constants c gt 0 and C such that for every natural number N 0 and all sequences an of scalars c k 0 N a k b k V k 0 N a k c k W C k 0 N a k b k V displaystyle c left sum k 0 N alpha k b k right V leq left sum k 0 N alpha k c k right W leq C left sum k 0 N alpha k b k right V A family of vectors in V is total if its linear span the set of finite linear combinations is dense in V If V is a Hilbert space an orthogonal basis is a total subset B of V such that elements in B are nonzero and pairwise orthogonal Further when each element in B has norm 1 then B is an orthonormal basis of V Properties EditLet bn be a Schauder basis of a Banach space V over F R or C It is a subtle consequence of the open mapping theorem that the linear mappings Pn defined by v k 0 a k b k P n P n v k 0 n a k b k displaystyle v sum k 0 infty alpha k b k overset textstyle P n longrightarrow P n v sum k 0 n alpha k b k are uniformly bounded by some constant C 5 When C 1 the basis is called a monotone basis The maps Pn are the basis projections Let b n denote the coordinate functionals where b n assigns to every vector v in V the coordinate an of v in the above expansion Each b n is a bounded linear functional on V Indeed for every vector v in V b n v b n V a n b n V a n b n V P n v P n 1 v V 2 C v V displaystyle b n v b n V alpha n b n V alpha n b n V P n v P n 1 v V leq 2C v V These functionals b n are called biorthogonal functionals associated to the basis bn When the basis bn is normalized the coordinate functionals b n have norm 2C in the continuous dual V of V A Banach space with a Schauder basis is necessarily separable but the converse is false Since every vector v in a Banach space V with a Schauder basis is the limit of Pn v with Pn of finite rank and uniformly bounded such a space V satisfies the bounded approximation property A theorem attributed to Mazur 6 asserts that every infinite dimensional Banach space V contains a basic sequence i e there is an infinite dimensional subspace of V that has a Schauder basis The basis problem is the question asked by Banach whether every separable Banach space has a Schauder basis This was negatively answered by Per Enflo who constructed a separable Banach space failing the approximation property thus a space without a Schauder basis 7 Examples EditThe standard unit vector bases of c0 and of ℓp for 1 p lt are monotone Schauder bases In this unit vector basis bn the vector bn in V c0 or in V ℓp is the scalar sequence bn j j where all coordinates bn j are 0 except the nth coordinate b n b n j j 0 V b n j d n j displaystyle b n b n j j 0 infty in V b n j delta n j where dn j is the Kronecker delta The space ℓ is not separable and therefore has no Schauder basis Every orthonormal basis in a separable Hilbert space is a Schauder basis Every countable orthonormal basis is equivalent to the standard unit vector basis in ℓ2 The Haar system is an example of a basis for Lp 0 1 when 1 p lt 2 When 1 lt p lt another example is the trigonometric system defined below The Banach space C 0 1 of continuous functions on the interval 0 1 with the supremum norm admits a Schauder basis The Faber Schauder system is the most commonly used Schauder basis for C 0 1 3 8 Several bases for classical spaces were discovered before Banach s book appeared Banach 1932 but some other cases remained open for a long time For example the question of whether the disk algebra A D has a Schauder basis remained open for more than forty years until Bockarev showed in 1974 that a basis constructed from the Franklin system exists in A D 9 One can also prove that the periodic Franklin system 10 is a basis for a Banach space Ar isomorphic to A D 11 This space Ar consists of all complex continuous functions on the unit circle T whose conjugate function is also continuous The Franklin system is another Schauder basis for C 0 1 12 and it is a Schauder basis in Lp 0 1 when 1 p lt 13 Systems derived from the Franklin system give bases in the space C1 0 1 2 of differentiable functions on the unit square 14 The existence of a Schauder basis in C1 0 1 2 was a question from Banach s book 15 Relation to Fourier series Edit Let xn be in the real case the sequence of functions 1 cos x sin x cos 2 x sin 2 x cos 3 x sin 3 x displaystyle 1 cos x sin x cos 2x sin 2x cos 3x sin 3x ldots or in the complex case 1 e i x e i x e 2 i x e 2 i x e 3 i x e 3 i x displaystyle left 1 e ix e ix e 2ix e 2ix e 3ix e 3ix ldots right The sequence xn is called the trigonometric system It is a Schauder basis for the space Lp 0 2p for any p such that 1 lt p lt For p 2 this is the content of the Riesz Fischer theorem and for p 2 it is a consequence of the boundedness on the space Lp 0 2p of the Hilbert transform on the circle It follows from this boundedness that the projections PN defined by f x k c k e i k x P N P N f x k N N c k e i k x displaystyle left f x to sum k infty infty c k e ikx right overset P N longrightarrow left P N f x to sum k N N c k e ikx right are uniformly bounded on Lp 0 2p when 1 lt p lt This family of maps PN is equicontinuous and tends to the identity on the dense subset consisting of trigonometric polynomials It follows that PNf tends to f in Lp norm for every f Lp 0 2p In other words xn is a Schauder basis of Lp 0 2p 16 However the set xn is not a Schauder basis for L1 0 2p This means that there are functions in L1 whose Fourier series does not converge in the L1 norm or equivalently that the projections PN are not uniformly bounded in L1 norm Also the set xn is not a Schauder basis for C 0 2p Bases for spaces of operators Edit The space K ℓ2 of compact operators on the Hilbert space ℓ2 has a Schauder basis For every x y in ℓ2 let x y denote the rank one operator v ℓ2 lt v x gt y If en n 1 is the standard orthonormal basis of ℓ2 a basis for K ℓ2 is given by the sequence 17 e 1 e 1 e 1 e 2 e 2 e 2 e 2 e 1 e 1 e n e 2 e n e n e n e n e n 1 e n e 1 displaystyle begin aligned amp e 1 otimes e 1 e 1 otimes e 2 e 2 otimes e 2 e 2 otimes e 1 ldots amp e 1 otimes e n e 2 otimes e n ldots e n otimes e n e n otimes e n 1 ldots e n otimes e 1 ldots end aligned For every n the sequence consisting of the n2 first vectors in this basis is a suitable ordering of the family ej ek for 1 j k n The preceding result can be generalized a Banach space X with a basis has the approximation property so the space K X of compact operators on X is isometrically isomorphic 18 to the injective tensor product X e X K X displaystyle X widehat otimes varepsilon X simeq mathcal K X If X is a Banach space with a Schauder basis en n 1 such that the biorthogonal functionals are a basis of the dual that is to say a Banach space with a shrinking basis then the space K X admits a basis formed by the rank one operators e j ek v e j v ek with the same ordering as before 17 This applies in particular to every reflexive Banach space X with a Schauder basisOn the other hand the space B ℓ2 has no basis since it is non separable Moreover B ℓ2 does not have the approximation property 19 Unconditionality EditA Schauder basis bn is unconditional if whenever the series a n b n displaystyle sum alpha n b n converges it converges unconditionally For a Schauder basis bn this is equivalent to the existence of a constant C such that k 0 n e k a k b k V C k 0 n a k b k V displaystyle Bigl sum k 0 n varepsilon k alpha k b k Bigr V leq C Bigl sum k 0 n alpha k b k Bigr V for all natural numbers n all scalar coefficients ak and all signs ek 1 Unconditionality is an important property since it allows one to forget about the order of summation A Schauder basis is symmetric if it is unconditional and uniformly equivalent to all its permutations there exists a constant C such that for every natural number n every permutation p of the set 0 1 n all scalar coefficients ak and all signs ek k 0 n e k a k b p k V C k 0 n a k b k V displaystyle Bigl sum k 0 n varepsilon k alpha k b pi k Bigr V leq C Bigl sum k 0 n alpha k b k Bigr V The standard bases of the sequence spaces c0 and ℓp for 1 p lt as well as every orthonormal basis in a Hilbert space are unconditional These bases are also symmetric The trigonometric system is not an unconditional basis in Lp except for p 2 The Haar system is an unconditional basis in Lp for any 1 lt p lt The space L1 0 1 has no unconditional basis 20 A natural question is whether every infinite dimensional Banach space has an infinite dimensional subspace with an unconditional basis This was solved negatively by Timothy Gowers and Bernard Maurey in 1992 21 Schauder bases and duality EditA basis en n 0 of a Banach space X is boundedly complete if for every sequence an n 0 of scalars such that the partial sums V n k 0 n a k e k displaystyle V n sum k 0 n a k e k are bounded in X the sequence Vn converges in X The unit vector basis for ℓp 1 p lt is boundedly complete However the unit vector basis is not boundedly complete in c0 Indeed if an 1 for every n then V n c 0 max 0 k n a k 1 displaystyle V n c 0 max 0 leq k leq n a k 1 for every n but the sequence Vn is not convergent in c0 since Vn 1 Vn 1 for every n A space X with a boundedly complete basis en n 0 is isomorphic to a dual space namely the space X is isomorphic to the dual of the closed linear span in the dual X of the biorthogonal functionals associated to the basis en 22 A basis en n 0 of X is shrinking if for every bounded linear functional f on X the sequence of non negative numbers f n sup f x x F n x 1 displaystyle varphi n sup f x x in F n x leq 1 tends to 0 when n where Fn is the linear span of the basis vectors em for m n The unit vector basis for ℓp 1 lt p lt or for c0 is shrinking It is not shrinking in ℓ1 if f is the bounded linear functional on ℓ1 given by f x x n ℓ 1 n 0 x n displaystyle f x x n in ell 1 rightarrow sum n 0 infty x n then fn f en 1 for every n A basis en n 0 of X is shrinking if and only if the biorthogonal functionals e n n 0 form a basis of the dual X 23 Robert C James characterized reflexivity in Banach spaces with basis the space X with a Schauder basis is reflexive if and only if the basis is both shrinking and boundedly complete 24 James also proved that a space with an unconditional basis is non reflexive if and only if it contains a subspace isomorphic to c0 or ℓ1 25 Related concepts EditA Hamel basis is a subset B of a vector space V such that every element v V can uniquely be written as v b B a b b displaystyle v sum b in B alpha b b with ab F with the extra condition that the set b B a b 0 displaystyle b in B mid alpha b neq 0 is finite This property makes the Hamel basis unwieldy for infinite dimensional Banach spaces as a Hamel basis for an infinite dimensional Banach space has to be uncountable Every finite dimensional subspace of an infinite dimensional Banach space X has empty interior and is no where dense in X It then follows from the Baire category theorem that a countable union of these finite dimensional subspaces cannot serve as a basis 26 See also EditMarkushevich basis Generalized Fourier series Orthogonal polynomials Haar wavelet Banach spaceNotes Edit see Schauder 1927 a b Schauder Juliusz 1928 Eine Eigenschaft des Haarschen Orthogonalsystems Mathematische Zeitschrift 28 317 320 doi 10 1007 bf01181164 a b Faber Georg 1910 Uber die Orthogonalfunktionen des Herrn Haar Deutsche Math Ver in German 19 104 112 ISSN 0012 0456 http www gdz sub uni goettingen de cgi bin digbib cgi PPN37721857X http resolver sub uni goettingen de purl GDZPPN002122553 Karlin S December 1948 Bases in Banach spaces Duke Mathematical Journal 15 4 971 985 doi 10 1215 S0012 7094 48 01587 7 ISSN 0012 7094 see Theorem 4 10 in Fabian et al 2011 for an early published proof see p 157 C 3 in Bessaga C and Pelczynski A 1958 On bases and unconditional convergence of series in Banach spaces Studia Math 17 151 164 In the first lines of this article Bessaga and Pelczynski write that Mazur s result appears without proof in Banach s book to be precise on p 238 but they do not provide a reference containing a proof Enflo Per July 1973 A counterexample to the approximation problem in Banach spaces Acta Mathematica 130 1 309 317 doi 10 1007 BF02392270 see pp 48 49 in Schauder 1927 Schauder defines there a general model for this system of which the Faber Schauder system used today is a special case see Bockarev S V 1974 Existence of a basis in the space of functions analytic in the disc and some properties of Franklin s system in Russian Mat Sb N S 95 137 3 18 159 Translated in Math USSR Sb 24 1974 1 16 The question is in Banach s book Banach 1932 p 238 3 See p 161 III D 20 in Wojtaszczyk 1991 See p 192 III E 17 in Wojtaszczyk 1991 Franklin Philip 1928 A set of continuous orthogonal functions Math Ann 100 522 529 doi 10 1007 bf01448860 see p 164 III D 26 in Wojtaszczyk 1991 see Ciesielski Z 1969 A construction of basis in C1 I2 Studia Math 33 243 247 and Schonefeld Steven 1969 Schauder bases in spaces of differentiable functions Bull Amer Math Soc 75 3 586 590 doi 10 1090 s0002 9904 1969 12249 4 see p 238 3 in Banach 1932 see p 40 II B 11 in Wojtaszczyk 1991 a b see Proposition 4 25 p 88 in Ryan 2002 see Corollary 4 13 p 80 in Ryan 2002 see Szankowski Andrzej 1981 B H does not have the approximation property Acta Math 147 89 108 doi 10 1007 bf02392870 see p 24 in Lindenstrauss amp Tzafriri 1977 Gowers W Timothy Maurey Bernard 6 May 1992 The unconditional basic sequence problem arXiv math 9205204 see p 9 in Lindenstrauss amp Tzafriri 1977 see p 8 in Lindenstrauss amp Tzafriri 1977 See James 1950 and Lindenstrauss amp Tzafriri 1977 p 9 See James 1950 and Lindenstrauss amp Tzafriri 1977 p 23 Carothers N L 2005 A short course on Banach space theory Cambridge University Press ISBN 0 521 60372 2 This article incorporates material from Countable basis on PlanetMath which is licensed under the Creative Commons Attribution Share Alike License References EditSchauder Juliusz 1927 Zur Theorie stetiger Abbildungen in Funktionalraumen Mathematische Zeitschrift in German 26 47 65 doi 10 1007 BF01475440 hdl 10338 dmlcz 104881 Banach Stefan 1932 Theorie des Operations Lineaires Theory of Linear Operations PDF Monografie Matematyczne in French Vol 1 Warszawa Subwencji Funduszu Kultury Narodowej Zbl 0005 20901 Archived from the original PDF on 11 January 2014 Retrieved 11 July 2020 Fabian Marian Habala Petr Hajek Petr Montesinos Vicente Zizler Vaclav 2011 Banach Space Theory The Basis for Linear and Nonlinear Analysis CMS Books in Mathematics Springer ISBN 978 1 4419 7514 0 James Robert C 1950 Bases and reflexivity of Banach spaces The Annals of Mathematics 52 3 518 527 doi 10 2307 1969430 MR39915 Lindenstrauss Joram Tzafriri Lior 1977 Classical Banach Spaces I Sequence Spaces Ergebnisse der Mathematik und ihrer Grenzgebiete vol 92 Berlin Springer Verlag ISBN 3 540 08072 4 Ryan Raymond A 2002 Introduction to Tensor Products of Banach Spaces Springer Monographs in Mathematics London Springer Verlag pp xiv 225 ISBN 1 85233 437 1 Schaefer Helmut H 1971 Topological vector spaces Graduate Texts in Mathematics vol 3 New York Springer Verlag pp xi 294 ISBN 0 387 98726 6 Wojtaszczyk Przemyslaw 1991 Banach spaces for analysts Cambridge Studies in Advanced Mathematics vol 25 Cambridge Cambridge University Press pp xiv 382 ISBN 0 521 35618 0 Golubov B I 2001 1994 Faber Schauder system Encyclopedia of Mathematics EMS Press Heil Christopher E 1997 A basis theory primer PDF Franklin system B I Golubov originator Encyclopedia of Mathematics URL http www encyclopediaofmath org index php title Franklin system amp oldid 16655Further reading EditKufner Alois 2013 Function spaces De Gruyter Series in Nonlinear analysis and applications vol 14 Prague Academia Publishing House of the Czechoslovak Academy of Sciences de Gruyter Retrieved from https en wikipedia org w index php title Schauder basis amp oldid 1135284291, wikipedia, wiki, book, books, library,

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