Differences Between Vector Spaces and Fields Explained

In summary, a field and a vector space are not the same thing. A field is a set with addition and multiplication defined between elements of the set, while a vector space 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. A vector space is not a field, but a field can be used to define a vector space. Additionally, a vector field is a vector valued function that outputs an n-dimensional vector to every point in some n-dimensional space, and should not be confused with a field of scalars.
  • #1
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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  • #2
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.
 
  • #3
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.
 
  • #4
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.
 

Related to Differences Between Vector Spaces and Fields Explained

1. What is the difference between a vector space and a field?

A vector space is a mathematical structure that consists of a set of vectors and a set of operations that can be performed on those vectors, such as addition and scalar multiplication. A field, on the other hand, is a mathematical structure that consists of a set of elements and two operations, usually addition and multiplication. The main difference between a vector space and a field is that a vector space is required to have a set of vectors and operations that can be performed on those vectors, while a field can have any type of element and operations.

2. Can a vector space be a field?

Yes, a vector space can be a field. In fact, all fields are also vector spaces, but not all vector spaces are fields. This is because a field is a more general mathematical structure that includes vector spaces as a special case.

3. What are some examples of vector spaces?

Some examples of vector spaces include Euclidean space, which is a space that consists of all n-tuples of real numbers, and function spaces, which consist of functions that can be added and multiplied by scalars. Other examples include the space of polynomials, the space of matrices, and the space of geometric vectors.

4. What are some examples of fields?

Some examples of fields include the real numbers, the complex numbers, and the rational numbers. Other examples include finite fields, such as the field of integers modulo n, and algebraic extensions of the rationals, such as the field of algebraic numbers.

5. How are vector spaces and fields used in science?

Vector spaces and fields are used extensively in science, particularly in the fields of physics, engineering, and computer science. They are used to model and analyze physical systems, such as electromagnetic fields and quantum states, and to solve problems in a variety of scientific and technological applications. For example, vector spaces are used in computer graphics to represent and manipulate images, and fields are used in signal processing to analyze and modify signals.

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