Proving Vector Space of All Real Numbers

In summary, the set "all real numbers" is a vector space because it satisfies the conditions of having defined vector addition and scalar multiplication, a zero vector, and is 1-dimensional over the field of real numbers. It is also a vector space over any subfield of real numbers.
  • #1
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i know that the set "all real numbers" make up a vector space, but how do you prove that it is so?
 
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  • #2
I would think that you would have to show that vector addition and scalar multiplication are defined on the set, subject to conditions.

Look here:

http://www.math.niu.edu/~beachy/courses/240/vectorspace.html
 
  • #3
Over what field...

add up two real numbers, get a real number, multiply a real number by a real number get a real number, has a zero vector, therefore it's a vector space, over R, obviously 1-dimensional.

Equally obviously it is therefore a vector space over any subfield of R, not necessarily 1-d.
 

Related to Proving Vector Space of All Real Numbers

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of objects called vectors, which can be added together and multiplied by scalars (such as real numbers). It follows a set of axioms and properties that allow for operations such as addition, scalar multiplication, and the existence of a zero vector and additive inverse.

2. How do you prove that the set of real numbers is a vector space?

To prove that the set of real numbers is a vector space, we need to show that it satisfies all the axioms and properties of a vector space. This includes closure under addition and scalar multiplication, associativity and commutativity of addition, existence of a zero vector and additive inverse, and distributivity of scalar multiplication over addition.

3. What is the difference between a vector space and a subspace?

A subspace is a subset of a vector space that also follows the axioms and properties of a vector space. In other words, it is a smaller space that is still a vector space. A vector space can contain multiple subspaces, but a subspace cannot contain any subspaces.

4. Can you prove the vector space of all real numbers using linear independence?

Yes, we can use linear independence to prove that the set of real numbers is a vector space. If we can show that any set of vectors in the real numbers is linearly independent, then it follows that the set satisfies the axioms and properties of a vector space.

5. How does the concept of dimension relate to the vector space of real numbers?

The dimension of a vector space is the minimum number of vectors needed to span the entire space. Since the set of real numbers is an infinite set, it has an infinite dimension. This means that any set of linearly independent vectors in the real numbers can span the entire space, making it a vector space.

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