Markushevich basis

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In functional analysis, a Markushevich basis (sometimes M-basis[1]) is a biorthogonal system that is both complete and total. Completeness means that the closure of the span is all of the space.[2]

Definition

Conventionally, if the index is i, then it means the index set is countable. Otherwise, if the index is α, then it means the index set is not necessarily countable.

Let X be Banach space. A biorthogonal system {xα;xα*}xα in X is a Markushevich basis if {xα}xα is complete (also called "fundamental"):span{xα}=Xand {xα*}xα is total: it separates the points of X. Totality is equivalently stated as span{xα*}=X* where the closure is taken under the weak-star topology.

A Markushevich basis is shrinking iff we further have span{xα*}=X* under the topology induced by the operator norm on X*.

A Markushevich basis is bounded iff supαxαxα*<.

A Markushevich basis {xn;xn*}n=1X×X* is strong iff xspan{x,xn*xn}n=1 for all xX.


Since xα*(xα)=1, we always have the lower bound xαxα*1, and therefore supixixi*[1,].

If supαxαxα*=1, then we can simply scale both so that xα=xα*=1 for all α. This special case of the Markushevich basis is called an Auerbach basis. Auerbach's lemma states that any finite-dimensional Banach space has an Auerbach basis.

Properties

In a separable space, Markushevich bases exist and in great abundance. Any spanning set and separating functionals can be made into a Markushevich basis by an inductive process similar to a Gram–Schmidt process:

Theorem ([3]: Theorem 4.59 ) — Let X be a separable Banach space. If {zi}iX satisfies span{zi}i=X and {gi}iX* separates points of X, then there is a Markushevich basis {xi;xi*} of X such that span{xi}=span{zi} and span{xi*}=span{gi}.

Proof

The above construction, however, does not guarantee that the constructed basis is bounded.

It is known currently that for every separable Banach space, for any ϵ>0, there exists a Markushevich basis, such that supixixi*<1+ϵ.[4]: Theorem 1.27  However, it is an open problem whether the lower limit is reachable. That is, whether every separable Banach space has a Markushevich basis where xixi*=1 for all i. That is, whether every separable Banach space has an Auerbach basis.[3][4]

Similarly, any Markushevich basis of a closed subspace can be extended:

Theorem ([3]: Theorem 4.60 ) — Let Z be a closed subspace of a separable Banach space X. Any Markushevich basis {xi;xi*} of Z can be extended to a Markushevich basis of X.

Every separable Banach space admits an M-basis that is not strong.[4]: Proposition 1.34  Every separable Banach space admits an M-basis that is strong.[4]: Theorem 1.36 

Examples

Any Markushevich basis {xi;xi*}xi of a separable Banach space can be converted to an unbounded Markushevich basis:[4]: 10 v2n1:=x2n1,v2n:=x2n1+12nx2nv2n1*:=x2n1*2nx2n*,v2n*:=2nx2n*Every Schauder basis of a Banach space is also a Markushevich basis; the converse is not true in general. An example of a Markushevich basis that is not a Schauder basis is the sequence {e2iπnt}n(ordered n=0,±1,±2,) in the subspace C~[0,1] of continuous functions from [0,1] to the complex numbers that have equal values on the boundary, under the supremum norm. The computation of a Fourier coefficient is continuous and the span dense in C~[0,1]; thus for any fC~[0,1], there exists a sequence |n|<NαN,ne2πintf.But if f=nαne2πnit, then for a fixed n the coefficients {αN,n}N must converge, and there are functions for which they do not.[3][5]

The sequence space l admits no Markushevich basis, because it is both Grothendieck and irreflexive. But any separable space (such as l1) has dual (resp. l) complemented in a space admitting a Markushevich basis.[3]

References

  1. Hušek, Miroslav; Mill, J. van (2002). Recent Progress in General Topology II. Elsevier. p. 182. ISBN 9780444509802. https://books.google.com/books?id=v3_PVdvJek4C&pg=PA182. 
  2. Bierstedt, K.D.; Bonet, J.; Maestre, M.; J. Schmets (2001-09-20). Recent Progress in Functional Analysis. Elsevier. p. 4. ISBN 9780080515922. https://books.google.com/books?id=G4t3B7ZHtlgC&pg=PA4. Retrieved 28 June 2014. 
  3. 3.0 3.1 3.2 3.3 3.4 Fabian, Marián J.; Habala, Petr; Hájek, Petr; Montesinos Santalucía, Vicente; Zizler, Václav (2011). Banach Space Theory: The Basis for Linear and Nonlinear Analysis. New York: Springer. pp. 216–218. doi:10.1007/978-1-4419-7515-7. ISBN 978-1-4419-7515-7. https://link.springer.com/content/pdf/10.1007/978-1-4419-7515-7.pdf. 
  4. 4.0 4.1 4.2 4.3 4.4 Hájek, Petr; Montesinos Santalucía, Vicente; Vanderwerff, Jon; Zizler, Václav (2007). Biorthogonal Systems in Banach Spaces. CMS Books in Mathematics (1st ed.). New York, NY: Springer. doi:10.1007/978-0-387-68915-9. ISBN 978-0-387-68914-2. 
  5. Albiac, Fernando; Kalton, Nigel J. (2006). Topics in Banach Space Theory. GTM 233 (2nd ed.). Switzerland: Springer (published 2016). pp. 9–10. doi:10.1007/978-3-319-31557-7. ISBN 978-3-319-31557-7. https://link.springer.com/book/10.1007/978-3-319-31557-7.