Dropping a rule in vector spaces

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Discussion Overview

The discussion revolves around the implications of dropping the axiom of scalar multiplication distributivity in vector spaces, specifically the rule that states (k+l)u = ku + lu for scalars k, l and vector u. The scope includes theoretical exploration of vector space axioms and their interdependencies.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant suggests that dropping the distributivity rule would undermine the entire notion of scalar multiplication and its representation in terms of bases or n-tuples.
  • Another participant argues that if the distributivity rule is not satisfied, scalar multiplication would lose its usual properties, affecting how vector addition is defined.
  • A different viewpoint proposes that the distributivity axiom is independent of other vector space axioms, as demonstrated by constructing a structure that satisfies all other axioms except for this one.
  • Further, it is noted that the existence of additive inverses is also independent, while some axioms, like commutativity of vector addition, can be derived from others.

Areas of Agreement / Disagreement

Participants generally agree that the distributivity rule is independent of other axioms, but there is ongoing debate about the implications of this independence and the status of other vector space axioms.

Contextual Notes

Participants discuss the independence of various vector space axioms, but the discussion does not resolve the status of all axioms or their interdependencies comprehensively.

eric_h22
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What happen if i drop the
"V is a vector spaces. If k,l \in \mathbb{F}, u \in V, (k+l)u=ku + lu"
rule in vector spaces?
 
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Well, the first thing that goes is the whole notion of scalar multiplication and representation in terms of bases or as n-tuples of numbers!

If lu+ ku is not equal to (l+ k)v then scalar multiplication no longer has the usual properties. And while we may still be able to write [itex]u= a_1e_1+ a_2e_2[/itex] and [itex]v= b_1e_1+ b_2e_2[/itex] we could no longer say [itex]u+ v= (a_1+ b_1)e_1+ (a_2+ b_2)e_2[/itex].
 
We should also ask ourselves if this axiom is dependent of the other, that is, if it can be proved from the other vector space axioms, and thus being redundant.

The answer is no, it is in fact independent of the other axioms. To see this, we construct a structure which satisfies all vector space axioms except the one in question here.

To do this, we use the real numbers both as our vectors and our field of scalars (with its ordinary field structure).

We define addition of vectors as ordinary addition of reals, but we define multiplication (we denote it with x here) of a vector v by a scalar r by

r x v = v if r>0, r x v = -v if r<0, and r x v = 0 if r=0.

It is then easy show that all the vector space axioms are satisfied for this structure, except the axiom in question here, which is false here, since (1+1) x 1 = 2 x 1 = 1, while 1 x 1 + 1 x 1 = 1 + 1 = 2.
 
A more general problem is to decide which vector space axioms are independent and which can be proved from the other axioms. We found here that the distributivity rule discussed here is independent. In another tread we found that the existence of additive inverses is also independent, although it can be replaced with the rule 0v=v, for all vectors v.

The following I know:Dependent (can be proved from the other axioms)

- Commutativity of vector additionIndependent (cannot be proved from the other axioms):

- Existence of additive inverses

- Vector distrubutes over scalars (the axiom OP asked about)

- 1v=v for all vectorsWhat about the other axioms?
 

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