Can the Empty Set Span the Zero Subspace? Insights on Spanning Sets

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Discussion Overview

The discussion revolves around the concept of spanning sets in linear algebra, specifically addressing whether the empty set can span the zero subspace. Participants explore definitions, implications of empty index sets, and connections to broader mathematical concepts.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants question why the empty set spans the zero subspace, suggesting that any vector in a set A is dependent on A.
  • One participant states that the intersection of all subspaces containing the empty set equals {0} and argues that the sum of vectors in the empty set is defined to be zero.
  • Another participant points out that for non-empty sets, various definitions of the smallest vector space containing S are equivalent, but for the empty set, the definitions yield different results.
  • There is a claim that the empty linear combination is zero, drawing a parallel to the empty product being defined as 1.
  • One participant reflects on the implications of empty index sets in mathematical proofs, specifically relating to Euclid's proof of the infinitude of primes, suggesting that starting with an empty set leads to valid constructions.

Areas of Agreement / Disagreement

Participants express differing views on the implications of the empty set in the context of spanning sets and linear combinations, indicating that the discussion remains unresolved with multiple competing interpretations.

Contextual Notes

There are limitations regarding the definitions of vector spaces and spans, particularly concerning whether they require non-empty sets. The discussion also touches on conventions in mathematics that may not be universally accepted.

jwqwerty
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I have some questions about spanning sets

1. Why does empty set spans the zero subspace?

2. Why is this true: Since any vector u in A is dependent on A, A⊆<A>? (<A> is the set of all vecotrs in R^n that are dependent on A)
 
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2. u = 1.u

1. the intersection of all subspaces containing the empty set equals {0}.

second answer: if you want the summation symbol to be additive over disjoint decomposition of the index set, i.e. if you want the sum of the vectors in SuT to equal the sum of the vectors in S plus the sum of the vectors in T, when S and T are disjoint, you have to agree that the sum of the vectors in the empty set is zero.

third answer: because i said so (i.e. it is defined that way).
 
For non-empty sets S, "the smallest vector space that contains S", "the intersection of all vector spaces that contain S" and "the set of all linear combinations of members of S" are all the same. But if S=∅, the last one is ∅ and the first two are {0} (if your definition of vector space requires the set to be non-empty).

So it looks like your book uses one of the first two as the definition of span S, and requires vector spaces to be non-empty.
 
I am arguing that the empty linear combination is zero. see above mumbo jumbo about empty index sets. for the same reason the empty product is 1. this is a pretty standard convention.
 
Ah, I always forget to consider empty index sets. :smile: Yes, if we define ##\sum_{k=1}^0 a_k s_k=0##, then span S = ∅, even if the left-hand side is defined as the set of all linear combinations of members of S.
 
this bothered me for a long time in connection with euclid's proof of infinitude of primes. i.e. to construct as many primes as desired start from any set of primes, multiply them together and add 1. then we claim that number has anew prime factor. but for this to work, it needs to equal 2 or more.

i thought this was a gap, and that one should exhibit at least one prime to begin the induction.

fortunately however, by this convention, even if we begin with the empty set of primes, their product is 1, and so the number constructed is 2.
 

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