Undergrad Complete sets and complete spaces

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A complete space is defined as one where every Cauchy sequence converges within the space, leading to the concept of Hilbert spaces, which are complete metric spaces with an inner product. A complete set in an inner product space consists of an orthonormal set of vectors that can represent every vector in the space as a sum of its components. In infinite-dimensional inner vector spaces, an infinite set of orthonormal vectors may not be complete, as demonstrated by subsets that lack linear independence. The distinction between a complete set and a basis lies in the latter's requirement for linear independence, while completeness alone does not guarantee this. These definitions apply broadly to any vector space with a defined norm, not just Hilbert spaces.
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-Definition of complete space: if every Cauchy sequence of points in M has a limit that is also in M or, alternatively, if every Cauchy sequence in converges in M. (and from this definition we can define Hilbert Space)
-Definition of Hilbert space:
A Hilbert space is a vector space
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with an inner product
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such that the norm defined by

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turns
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into a complete metric space
-Definition of complete set: If V is inner product space and {ek}k∈ℕ is orthonormal set of vectors then we say that {ek}k∈ℕ is complete if for every u∈V u=∑<ek,u>ek

I have several questions:
-In infinite dimension inner vector spaces, infinite set of orthonormal vectors is not necessarily complete vector set? (is this true, and if it is, why?)

-Are complete sets and complete vector spaces connected in some way? Is every infinite set of orthonormal vectors in complete space (or more precisely in Hilbert space) complete set?

-What is the difference between complete set and basis?
 

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cromata said:
Definition of complete set: If V is inner product space and {ek}k∈ℕ is orthonormal set of vectors then we say that {ek}k∈ℕ is complete if for every u∈V u=∑<ek,u>ek
This contains a critical ambiguity - that you have not specified whether the sum is finite or infinite.
An orthonormal basis for a Hilbert space H is an orthonormal set of vectors whose span is dense in H.
An orthonormal Hamel basis for a Hilbert space H is an orthonormal set of vectors whose span is equal to H.
cromata said:
-In infinite dimension inner vector spaces, infinite set of orthonormal vectors is not necessarily complete vector set? (is this true, and if it is, why?)
Say ##\{e_k\}_{k\in\mathbb N}## is a basis. Then the infinite, orthonormal subset ##\{e_{2k}\}_{k\in\mathbb N}## of even-numbered elements of the set, is not complete (because if it were the original set would not be linearly independent), and hence not a basis.

cromata said:
-What is the difference between complete set and basis?
As I learned it, completeness of a set of vectors does not entail linear independence. If a complete set is not linearly independent, it is not a basis. But your definition above includes orthonormality, which entails linear independence, so your definition looks the same as that of either an orthonormal Hamel basis (if the sums must be finite) or an orthonormal basis (if they can be infinite).
 
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These definitions are not restricted to Hilbert spaces. They apply to any vector space, where there is a defined norm.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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