4.3 Using the vector space axioms

There are some familiar properties of vector addition and scalar multiplication — like the fact that if you multiply a vector by the scalar zero, you get the zero vector — which aren’t listed in the axioms. Are they special to column vectors, or do they hold in every vector space?

To answer questions like this we can give a proof that uses only the vector space axioms, not the specific form of a particular vector space’s elements.

Lemma 4.3.1.

Let V be a vector space and 𝐯∈V. Then 0⁢𝐯=𝟎V.

Be careful that you understand the notation here. 0V means the special zero vector given in the definition of the vector space V, and 0⁢𝐯 means the vector v scalar multiplied by the scalar 0. They’re not obviously the same thing.

Proof.

0⁢𝐯=(0+0)⁢𝐯=0⁢𝐯+0⁢𝐯 (by axiom 8 of Definition 4.2.1). Axiom 4 says there’s an element 𝐮 of V such that 𝐮+0⁢𝐯=0V, so add it to both sides:

𝐮+0⁢𝐯 =𝐮+(0⁢𝐯+0⁢𝐯)
0V =(𝐮+0⁢𝐯)+0⁢𝐯 axiom 2, definition of u
𝟎V =𝟎V+0⁢𝐯 definition of ⁢𝐮
𝟎V =0⁢𝐯 axiom 3.

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Lemma 4.3.2.

Let V be a vector space and let 𝐱∈V. Then 𝐱+(−1)⁢𝐱=𝟎V.

Proof.
𝐱+(−1)⁢𝐱 =1⁢𝐱+(−1)⁢𝐱 axiom 6
=(1+−1)𝐱 axiom 8
=0⁢𝐱
=𝟎V Lemma 4.3.1.

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We write −𝐱 for the additive inverse of 𝐱 which axiom 4 provides, and 𝐲−𝐱 as shorthand for 𝐲+−𝐱. Here are two more proofs using the axioms.

Lemma 4.3.3.
  1. 1.

    Let λ be a scalar. Then λ⁢𝟎V=𝟎V.

  2. 2.

    Suppose λ≠0 is a scalar and λ⁢𝐱=𝟎V. Then 𝐱=𝟎V.

Proof.
  1. 1.
    λ⁢𝟎V =λ⁢(𝟎V+𝟎V) axiom 3
    =λ⁢𝟎V+λ⁢𝟎V axiom 7

    Axiom 2 tells there’s an additive inverse to λ⁢𝟎V. Adding it to both sides and using axiom 2, we get 𝟎V=λ⁢𝟎V.

  2. 2.
    λ⁢𝐱 =𝟎V
    λ−1⁢(λ⁢𝐱) =λ−1⁢𝟎V
    (λ−1⁢λ)⁢𝐱 =𝟎V axiom 5 and part 1
    1⁢𝐱 =𝟎V
    𝐱 =𝟎V axiom 6.

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