Short Proof regarding elements of a vector space

In summary, to prove that w=-v given v+w=0, you can use the properties of vector spaces such as additive inverses, associativity, and transitivity of equality. It is important to clearly state which properties you are using in each step of the proof. The book solution also uses commutativity of addition.
  • #1
srfriggen
307
7

Homework Statement



Let V be a vector space and v, w two elements of V. If v+w=O, show that w=-v

Homework Equations





The Attempt at a Solution



This is my attempt:

1. v+w=O
2. v+(-v)=O
3. v+w=v+(-v). Subtracting v from both sides yields:
4. w=-v



The solution manual has this as the correct answer:

-w=-w+O=-w+(v+w)=v+w-w=v



Is my attempt correct as well?
 
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  • #2
Yes, your proof is perfectly valid.
 
  • #3
What properties of vector spaces are you permitted to use? I'm mostly concerned with going from step 3 to step 4. If you are permitted to add to both sides of an equality, presumably you could have done that from the start:

v+w=0 (Given)
-v+(v+w)=-v+0 (Left addition on both sides of an equality: this is the property I'm worried about you using)
(-v+v)+w=-v+0 (Associativity of +: the book solution uses it)
0+w=-v+0 (Definition of -v)
w=-v (Definition of 0)

Speaking of subtraction, you need to be careful with that as well. It's possible you haven't yet defined what v-w means. It's probably more appropriate to say "adding the additive inverse", like you wrote in step 2.

You need to be really careful when proving "obvious" statements that you only use the properties that are assumed or that you've already proved. It helps to identify the exact property that you're using every step of the way.

Note that you also use transitivity of = (in 1 & 2 to 3), but so does your book. The book also also uses commutativity of +.
 

FAQ: Short Proof regarding elements of a vector space

1. What is a vector space?

A vector space is a mathematical concept that refers to a set of elements that can be added together and multiplied by scalars (usually numbers) to produce new elements in the set. It is a fundamental concept in linear algebra and is used to model various physical and abstract systems.

2. What are the elements of a vector space?

The elements of a vector space can vary depending on the specific vector space being considered. However, in general, they are objects that can be added together and multiplied by scalars. These can include numbers, points, vectors, polynomials, functions, and more.

3. What are the properties of a vector space?

There are several key properties that a set must have in order to be considered a vector space. These include closure under addition and scalar multiplication, associativity and commutativity of addition, existence of an additive identity element, existence of an additive inverse element, distributivity of scalar multiplication over addition, and compatibility of scalar multiplication with field multiplication.

4. How can you prove that a set is a vector space?

To prove that a set is a vector space, you must show that it satisfies all of the properties listed above. This can be done by demonstrating that the set follows each property through a series of logical steps and using established mathematical proofs.

5. Can a set be a vector space if it does not have all the properties?

No, a set cannot be considered a vector space if it does not have all of the required properties. These properties are essential for a set to be classified as a vector space and failing to meet any of them would mean that the set does not have the necessary structure to be considered a vector space.

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