Showing that "zero vector space" is a vector space

In summary: You can also use the fact that ##0 = x + (-x)## to show that ##a0 = a(x + (-x)) = ax + a(-x)##, and then use the inverse property to show that ##a(-x) = -ax##.In summary, the conversation discusses proving that the set of all single vector 0, with defined operations of addition and scalar multiplication, is a vector space. The attempt at a solution involves showing that the distributive axioms hold by using the fact that a scalar can distribute over the vector 0. Another approach is also suggested, using the fact that 0 can be expressed as the sum of a vector and its negative.
  • #1
Mr Davis 97
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Homework Statement


Let ## \mathbb{V} = \{0 \}## consist of a single vector ##0## and define ##0 + 0 = 0## and ##c0 = 0## for each scalar in ##\mathbb{F}##. Prove that ##\mathbb{V}## is a vector space.

Homework Equations

The Attempt at a Solution



Proving that the first six axioms of a vector space are true is trivial, I am just on the distributive axioms.

So if I want to show that ##a(x + y) = ax + ay## is true, where a is a scalar and x and y are vectors, is it sufficient to make the argument that ##a(0 + 0) = a0 = 0 = a0 + a0##? Does this show that a distributes over the vector ##0##?
 
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  • #2
I guess ... since the space only contains one vector you can also show that the last two are equivalent to the previous ones.
ie. u=v, then a(u+v)=a(u+u)=2au = scalar multiplication axiom already tested.
ie u=v, then RHS: a(u+v)=2au and LHS=au+av = 2au so RHS=LHS
 
  • #3
Mr Davis 97 said:
So if I want to show that ##a(x + y) = ax + ay## is true, where a is a scalar and x and y are vectors, is it sufficient to make the argument that ##a(0 + 0) = a0 = 0 = a0 + a0##? Does this show that a distributes over the vector ##0##?

Yes, that's exactly how to do it.
 
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Likes Mr Davis 97

1. What is the definition of a "zero vector space"?

A zero vector space is a vector space where all elements are equal to the zero vector, denoted by 0. This means that all operations on the elements of the vector space result in the zero vector.

2. How do you prove that "zero vector space" is a vector space?

To prove that a zero vector space is a vector space, we need to show that it satisfies the 10 axioms of vector space. These axioms include closure, associativity, commutativity, identity element, inverse element, distributivity, and scalar multiplication properties.

3. What are the properties of a zero vector space?

The properties of a zero vector space include the zero vector being the identity element for vector addition, the zero vector being the additive inverse of itself, and the zero vector being the result of scalar multiplication by zero.

4. Can a set with only one element be considered a zero vector space?

Yes, a set with only one element can be considered a zero vector space. This is because the only element in the set is equal to the zero vector, and therefore satisfies all of the axioms of vector space.

5. How does showing that "zero vector space" is a vector space relate to other vector spaces?

Showing that a zero vector space is a vector space is important because it is the simplest example of a vector space. Other vector spaces can be seen as extensions or generalizations of the zero vector space, as they also satisfy the 10 axioms of vector space but with additional properties and operations.

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