Differences Between Vector Spaces and Fields Explained

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Homework Help Overview

The discussion revolves around the differences between vector spaces and fields in the context of abstract algebra. Participants are exploring definitions and properties of both mathematical structures.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning the similarities and differences between vector spaces and fields, with some suggesting a review of definitions. There are discussions about the operations defined in each structure, particularly focusing on addition and multiplication.

Discussion Status

Several participants have provided clarifications regarding the definitions of fields and vector spaces, noting the distinct operations and properties of each. There is an ongoing exploration of the implications of these definitions, particularly in relation to examples like polynomial spaces.

Contextual Notes

Some participants mention potential confusion arising from the term "vector field," which may lead to misunderstandings about the nature of vector spaces and fields. The discussion highlights the importance of precise definitions in mathematical contexts.

UrbanXrisis
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What is the different between a vector space and a field? Seems to me that they both are the same thing
 
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UrbanXrisis said:
What is the different between a vector space and a field? Seems to me that they both are the same thing

A field is a set with addition and multiplication defined between elements of the set (along with other axioms). A vector space (over a field) is a set with addition defined between elements of the set, and multiplication defined between an element of the field and an element of the set.

That is, in a vector space, there is no notion of multiplication between vectors.
 
UrbanXrisis said:
What is the different between a vector space and a field? Seems to me that they both are the same thing

Then I suggest that you look at the definitions again! A field has two operations defined- multiplication and addition. Each combines two members of the field and gives a member of the field as a result. In particular, there exists a multiplicative identity and every member of the field except 0 must have a multiplicative inverse.

In a vector space, we have addition defined as combining two vectors and resulting in a vector but the "multiplication" (scalar product) combines a vector and a member of the underlying field (every vector space must be defined "over a field") and results in a vector. Because we do NOT multiply two vectors, It doesn't even make sense to talk about a "multiplicative inverse" for a vector space.

For example, the set of all polynomials of degree two or less is a vector space over the real numbers but is not a field.

Given a field, it is possible to use its addition and multiplication to think of it as a (one dimensional) vector space over itself but there always exists many other vector spaces over the same field.
 
I believe the term "vector field" can be misleading. It refers to a vector valued function that outputs an n-dimensional vector to every point in some n-dimensional space. So when the word "field" is used in that context, it better conceptualized as a force field (like gravity in 3 dimensions), not a field of scalars, as described in the current replies.

With that being said, no, a field and a vector space are not the same thing. A vector space is a "space" that includes all possible vectors, in n-dimensions, over some field of scalars. These vectors can be added and subtracted, but not multiplied because they are not numbers! They use numbers (real numbers are an example of a field) to give them some magnitude and direction in n-dimensional space... But a vector field, as described above, actually "reveals" (for lack of a better term) whatever vectors in the vector space that are outputted by the vector valued function that is that vector field.
 

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