Is W1 a Vector Subspace with Only the Zero Vector?

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Homework Help Overview

The discussion revolves around determining whether a specific set, W1, which contains only the zero vector (0,0,0), qualifies as a vector subspace. The subject area is linear algebra, focusing on vector spaces and their properties.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to verify the properties of the set by considering its elements and checking the relevant axioms for vector spaces. Participants discuss the implications of having only one element in the set and how that affects the verification process for closure under addition and scalar multiplication.

Discussion Status

Participants have engaged in exploring the properties of the set W1, with some guidance provided on how to approach the verification of subspace criteria. There is acknowledgment that the unique element simplifies the checks required for closure properties.

Contextual Notes

There is an implicit understanding that the discussion is constrained by the nature of the set being examined, specifically that it contains only the zero vector, which influences the verification process for subspace properties.

andrey21
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Is the following a vector subspace

W1 {(x1,x2,x3): x1=x2=x3=0}


I usually begin my attempt by finding two members of the set then check which axioms are valid.However I can only think of 1:

(0,0,0)


Any help would be great thank you
 
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Yes, you're right that there is only one element in that set.

Normally, to show a set is a subspace, you must show that certain properties hold for all elements of the set. So you take two arbitrary elements, and check the properties. But here there is only one choice for an arbitrary element so you only have to check this one case: 'for all v in W' means 'for v=0'.

Hope that makes some sense...
 
Ok so when checking if set is closed under addition should I just do the following:

(0,0,0)+(0,0,0)=(0,0,0)

and scalar multiplication:

2.(0,0,0) = (0,0,0)
 
Exactly that!

In fact, what you doing generalises to any vector space at all (which is an abstract structure in which you can add and multiply by scalars in case you haven't met the general definition; check wiki for more). In any vector space there are two subspaces, called the trivial subspaces. One of them is the whole space, and one of them is the space containing only the zero vector, which is the one you're looking at (the zero vector is defined by v+0=v for all vectors v).
 

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