Is the set 'V' a vector space?

In summary, the conversation is about determining if V, the set of ordered pairs of real numbers, is a vector space with defined operations of addition and scalar multiplication. The discussion involves confirming the axioms for a vector space with respect to scalar multiplication and identifying any discrepancies.
  • #1
ElijahRockers
Gold Member
270
10

Homework Statement



Let V be the set of all ordered pairs of real numbers, with addition being defined as:

[itex](x_1 , x_2 ) + (y_1 , y_2 ) = (x_1 + y_1 , x_2 + y_2 )[/itex]

and scalar multiplication defined as:

[itex]\alpha \circ (x_1 , x_2 ) = (\alpha x_1 , x_2)[/itex]

Is V a vector space with these operations? Justify your answer.

The Attempt at a Solution



I am thinking yes, because the scalar multiplication rule does not seem to violate any of the 8 axioms for vector spaces, but it seems wrong intuitively.
 
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  • #2
What are the axioms defining a vector space with respect to scalar multiplication? Can you confirm each of them? You've probably only ever seen a single example of a vector space (Rn), so your intuition isn't exactly well developed about these things. That's normal, it's important when dealing with algebraic structures to carefully confirm that all necessary conditions are satisfied.
 
  • #3
Distributivity of scalar multiplication with respect to vector addition   a(u + v) = au + av
Distributivity of scalar multiplication with respect to field addition (a + b)v = av + bv
Compatibility of scalar multiplication with field multiplication a(bv) = (ab)v

These and the multiplicative identity are the only axioms that would involve the altered scalar multiplicative operator. if u = (u1,u2) and v = (v1,v2)

"[a(u+v) = au+av]"
a[(u1,u2) + (v1,v2)] = a(u1+v1, u2+v2) = (au1+av1, u2+v2) = a(u1,u2) + a(v1,v2)
seems to check out

"(a + b)(v1,v2) = a(v1,v2) + b(v1,v2)"
(a+b)(v1,v2) = ((a+b)v1,v2) = (av1+bv1,v2) ≠ (av1, v2) + (bv1,v2) = (av1+bv1, v2+v2)

I suppose this axiom doesn't really check out, because (av1+bv1, v2+v2)≠(av1+bv1,v2) right?
 
  • #4
indeed the last one doesn't check out, because you would get a(v1,v2)+b(v1,v2). for the v1's it's ok, but you get the undesired 2 times v2.
 
  • #5
Number Nine said:
What are the axioms defining a vector space with respect to scalar multiplication? Can you confirm each of them? You've probably only ever seen a single example of a vector space (Rn), so your intuition isn't exactly well developed about these things. That's normal, it's important when dealing with algebraic structures to carefully confirm that all necessary conditions are satisfied.

Turns out my intuition was correct. ;p
 

1. What is a vector space?

A vector space is a mathematical concept that describes a collection of objects, called vectors, that can be added together and multiplied by numbers, known as scalars. The operations of addition and scalar multiplication must satisfy certain properties for the set to be considered a vector space.

2. How can I determine if a set is a vector space?

To determine if a set is a vector space, you must check if it satisfies the properties of a vector space. These include closure under addition and scalar multiplication, associativity, commutativity, and the existence of an additive identity and inverse. Additionally, the set must also follow the properties of scalar multiplication, such as distributivity and the existence of a multiplicative identity. If the set satisfies all of these properties, then it is a vector space.

3. What is the purpose of studying vector spaces?

Studying vector spaces is important in various areas of mathematics and physics. It provides a foundation for understanding linear algebra, which is used in fields such as computer science, engineering, and economics. Additionally, the concept of vector spaces is used to describe physical quantities, such as velocity and force, in physics.

4. Can a set that contains only one vector be considered a vector space?

Yes, a set that contains only one vector can be considered a vector space. This is because the set must satisfy all of the properties of a vector space, and a single vector can still be closed under addition and scalar multiplication.

5. What happens if a set does not satisfy the properties of a vector space?

If a set does not satisfy the properties of a vector space, then it cannot be considered a vector space. This means that the set cannot be used in the same way as a vector space, and certain mathematical operations, such as addition and scalar multiplication, may not be well-defined on the set.

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