A basic qn on the inner product of a vector with an infinite sum of vectors

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Discussion Overview

The discussion revolves around the properties of vector addition, particularly focusing on the sum of an infinite number of vectors within a vector space. Participants explore the implications of countable and uncountable sums and the conditions under which such sums yield vectors that remain within the same vector space.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions whether the sum of an infinite number of vectors, whether countable or uncountable, can be considered a vector in the same vector space.
  • Another participant argues that the question lacks clarity without a definition of how to sum an infinite number of vectors, noting that vector addition is typically defined for finite sums.
  • A different viewpoint introduces the concept of a metric derived from an inner product, suggesting that limits of sequences can be defined, which may allow for the sum of countable vectors to belong to the vector space if certain conditions are met.
  • One participant provides a counter-example using the vector space of polynomials, stating that while 1/(1-x) can be expressed as an infinite sum of polynomials, it does not itself qualify as a polynomial.

Areas of Agreement / Disagreement

Participants express differing views on the validity and definition of summing infinite vectors, with no consensus reached on whether such sums can be considered vectors in the same vector space.

Contextual Notes

The discussion highlights the need for clear definitions regarding infinite sums and the role of metrics in vector spaces, particularly in finite versus infinite dimensions. The implications of closure in subspaces are also noted but remain unresolved.

seeker101
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A basic qn:An infinite sum of vectors will also be a vector in the same vector space?

By definition, the sum of any two vectors of a vector space will be a vector in the same vector space. But does this mean the sum of an uncountable or countable number of vectors will also be a vector in the same vector space?
 
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unfortunately, your question does not make sense until you have defined what you mean by a sum of a countable or uncountable number of vectors. Vector addition is defined for two vectors and can then be extended, by induction, to the sum of any finite number of vectors but the sum of an infinite number of vectors, whether countable or uncountable, is undefined.

To define the sum of an countable number of vectors, as we do for infinite series, would require a limit process which would, in turn, require a metric which vector space, in general, do not have.
 
That metric is very often defined from an inner product

d(x,y)=\|x-y\|=\sqrt{\langle x-y,x-y\rangle}

This allows you to define limits of sequences (of which infinite sums is a special case). If the sum (i.e. the limit of the nth partial sum as n goes to infinity) exists at all, and we're dealing with a finite-dimensional vector space, then the sum will certainly be a member of the vector space. It we're dealing with an infinite-dimensional vector space, there can exist convergent sequences of members of a subspace, that converge to a vector that doesn't belong to the subspace. This is why books on functional analysis talk about "closed subspaces" sometimes. A subspace is closed if the limit of every convergent sequence of members of the subspace belongs to the subspace.
 


seeker101 said:
By definition, the sum of any two vectors of a vector space will be a vector in the same vector space. But does this mean the sum of an uncountable or countable number of vectors will also be a vector in the same vector space?

An easy counter-example is the vector space of polynomials. 1/(1-x) is an infinite sum of polynomials but not a polynomial.
 

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