Definition of vector addition, Cartesian product?

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Vector addition is defined as a mapping from the Cartesian product of a vector set V, represented as V × V, to the set V itself. This operation takes two vectors (X, Y) and produces a third vector, X + Y. The Cartesian product serves as a foundational concept in set theory, allowing for the combination of elements from two sets. The mapping illustrates how pairs of vectors can be added together, resulting in a vector within the same space. This framework is applicable to real numbers, where the addition of pairs from ℝ² yields results in ℝ, exemplifying vector addition in a one-dimensional vector space.
vanmaiden
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I'm reading through a multivariable calculus book and it starts off with some linear algebra. It defines vector addition as V \times V \rightarrow V. My text describes V as a set and describes the above process as a mapping. I believe the \times may represent a Cartesian product. Could someone fill me in on how such an operation could define vector addition?
 
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vanmaiden said:
I'm reading through a multivariable calculus book and it starts off with some linear algebra. It defines vector addition as V \times V \rightarrow V. My text describes V as a set and describes the above process as a mapping. I believe the \times may represent a Cartesian product. Could someone fill me in on how such an operation could define vector addition?

Vector addition just takes two vectors and gives you third. So the map is

(X,Y) -> X + Y.
 
vanmaiden said:
I'm reading through a multivariable calculus book and it starts off with some linear algebra. It defines vector addition as V \times V \rightarrow V. My text describes V as a set and describes the above process as a mapping. I believe the \times may represent a Cartesian product. Could someone fill me in on how such an operation could define vector addition?

It's a product of sets, which we map out of with addition. Yes, it is the Cartesian product, in the sense that Cartesian product is product of sets. You can map any point in the product (x,y), as lavinia said, to x+y for instance.

You might contrast product and/or sum of sets with product and/or sum of elements.
 
You could do the same for normal addition (i.e. the addition of the real numbers).

I.e. you define a function +:ℝ2→ℝ (where ℝ2=ℝ×ℝ)

For example +(13,2) = 15

Infact +:ℝ2→ℝ is actually an example of vector addition as the reals themselves form a 1-D real vector space wrt real addition and real multiplication.
 
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