Dual Spaces of Vector Spaces: Conventions and Dual Bases

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Discussion Overview

The discussion revolves around the concepts of dual spaces and dual bases in vector spaces, particularly focusing on finite dimensional vector spaces while also touching on infinite dimensional cases. Participants explore definitions, conventions, and the implications of these concepts in various contexts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the conventions surrounding dual spaces and dual bases, specifically questioning whether every basis has a dual basis and the role of the delta function.
  • Another participant clarifies that for a given basis of a vector space, the dual basis is defined such that the dual functions satisfy the relation f_i(e_j) = delta_{ij}, indicating that every basis indeed gives rise to a dual basis.
  • A participant acknowledges that the delta function establishes a one-to-one correspondence between the two sets of bases.
  • Discussion shifts to the infinite dimensional case, where one participant notes that the dual functions do not necessarily form a basis for the dual space, raising questions about the existence of a natural basis for all linear functions.
  • Another participant asserts that the dual of an infinite dimensional vector space is not generally isomorphic to the original space, but the dual of the dual is, while also noting issues related to cardinality in this context.
  • A later reply challenges the previous assertion about the dual of the dual, stating that in general, the double dual may not have the same cardinality as the original space.

Areas of Agreement / Disagreement

Participants exhibit disagreement regarding the properties of dual spaces in infinite dimensions, particularly concerning isomorphism and cardinality. While some points are clarified, the discussion remains unresolved on several aspects.

Contextual Notes

Limitations include the lack of consensus on the implications of dual spaces in infinite dimensions and the dependence on definitions of basis and dual basis. The discussion also highlights the complexity of establishing a basis for infinite dimensional spaces.

Diophantus
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Whilst trying to refresh myself on what a dual space of a vector space is I have confused myself slightly regarding conventions. (I am only bothered about finite dimensional vector spaces.)

I know what a vector space, a dual space and a basis of a vector space are but dual bases:

I seem to recall something about the delta function being used. Does every basis have a dual basis or just standard the bases (i.e. (1,0,..,0), (0,1,0,...,0) , ... (0, ... ,0,1) )? Does the delta function rule have to apply to a dual basis or is it just a condition which ensures that a dual basis of an orthonormal basis is also orthonormal?
 
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Given a basis e_i of a vector space V, the dual basis of V* is defined by f_i that satsify the rule f_i(e_j)=delta_{ij}. As the definition indicates, every basis V goves rise to a dual basis of V*.

Orthonormality doesn't enter into the question (these are just vector spaces, not inner product spaces).
 
Ah, so the delta function ensures a 1-1 correspondance beteween the two sets of bases. Thanks.
 
the infinite dimensional case is more interesting. I.e. the functions dual to a basis of V do not then give absis for V*. I.e. a linear combination of those dual functions must vanish on all but a finite number of the original basis vectors, but a general linear functiion can do anything on them.

so how do you find a natural basis for ALL linear functions? I do not know the answer. perhaps there is no nice basis.

e.g. as an analogy think of a linear function on the positive integers with values in the set {0,...,9} as an infinite decimal.

then how would you find a "basis" for all infinite decimals, such that every other infinite decimal is a finite Z linear combination of those?

this is not a perfect analogy but gives some idea. i.e. a big problem is the basis would have to be uncountable.
 
The dual of an infinite dimensional vector space is not, in general, isomorphic to the original space (but the dual of the dual is!).
 
HallsofIvy said:
The dual of an infinite dimensional vector space is not, in general, isomorphic to the original space (but the dual of the dual is!).

Oh no it is not. In general the double dual doesn't even have the same cardinality as the original for infinite dimensional vector spaces. There is, in general, a canonical inclusion of V into V**, and if V is a pure injective module for a ring then it is a split injection.
 

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