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

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Discussion Overview

The discussion centers on the differences between vector fields and vector spaces, exploring their definitions, properties, and relationships within mathematical contexts. Participants seek intuitive examples and clarifications regarding these concepts, which are foundational in mathematics and physics.

Discussion Character

  • Conceptual clarification
  • Technical explanation
  • Exploratory

Main Points Raised

  • One participant expresses confusion about the generalization of vectors and seeks an intuitive understanding of vector spaces and vector fields.
  • Another participant defines a vector space as a set with specific operations and properties, emphasizing that it does not inherently involve magnitude or direction, which require additional concepts like norms and inner products.
  • A participant explains that a vector field is a function that maps points in a space to vectors in a vector space, highlighting the relationship between functions and vector spaces.
  • One participant provides an example involving tangent vectors on a sphere, describing how each point on the sphere has its own tangent space, and how a vector field can be formed by selecting one vector from each of these tangent spaces.
  • Another participant reiterates that a vector field is a vector-valued function defined at each point of a set, typically associated with a manifold or smooth subset of Rn, and mentions the concept of a vector bundle.
  • A final contribution summarizes the distinction by stating that a vector space is a set with an underlying field and operations, while a vector field is a function that assigns vectors to points.

Areas of Agreement / Disagreement

Participants present multiple perspectives and definitions regarding vector fields and vector spaces, with no consensus reached on a singular intuitive explanation. The discussion remains exploratory and technical, with various models and examples provided.

Contextual Notes

Some definitions and properties may depend on specific mathematical contexts or assumptions, such as the nature of the underlying field or the types of spaces considered. The discussion does not resolve these dependencies.

harjyot
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I'm unable to understand this generalization of vectors from a quality having a magnitude and direction, to the more mathematical approach.
what is the difference between vector space and vector field? more of an intuitive example?
 
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A vector space V over a field F is a mathematical space that obeys some very simple and generic requirements. (A space is a set with some additional structure; a field is (oversimplified) a set for which addition, subtraction, multiplication, and division are defined.) Elements of the space V are called vectors. The requirements on a vector space are
  • There is a commutative and associative operation "+" by which two element of the space can be added to form another element in the space.
  • There exists a special member of the set V, the zero vector [itex]\vec 0[/itex], such that [itex]\vec v + \vec 0 = \vec 0 + \vec v = \vec v[/itex] for all members [itex]\vec v[/itex] in V.
  • For every vector [itex]\vec v[/itex] in V there exists another vector [itex]-\vec v[/itex] such that [itex]\vec v + -\vec v = \vec 0[/itex]
  • Multiplication by a scalar: Every member of the vector space V can be scaled (multiplied) by a member of the field F, yielding a member of the space.
  • Scaling is consistent. Scaling any element [itex]\vec v[/itex] in the vector space V by the multiplicative identity 1 of F yields the vector [itex]\vec v[/itex], and [itex]a(b\vec v) = (ab)\vec v[/tex] for any scalars a and b and any vector v. [/itex]
[itex] <br /> That's all there is to vector spaces. Nothing about magnitude, nothing about direction (or the angle between two vectors). That requires something extra, the concept of a norm for magnitude, of an inner product for angle.<br /> <br /> <br /> A vector field is something different from a vector space. Let's start with the concept of a function. A function is something that maps members of one space to members of some other space. If that other space is a vector space, well, that's a vector field.[/itex]
 
given a point p on a sphere, the set of all arrows starting from p and tangent to the sphere, forms a vector space, the space of all tangent vectors to S at p.

Each point of the sphere has its own tangent space, and the family of all these vector spaces is called a bundle of vector spaces.

If we choose one tangent vector at each point of the sphere, this collection of vectors, one from each vector space in the bundle, is called a (tangent) vector field, on the sphere.

so a vector field occurs when you have a collection of vector spaces, and it means you choose one vector from each space.

so a vector field is analogous to a vector. I.e. a vector bundle is a collection of vector spaces, and a vector field is a collection of vectors, one from each space in the bundle.

a vector is a choice of one element of a vector space, and if you have a collection of vector spaces, and you choose one element from each space, that is a vector field. so a vector bundle is a family of vector spaces, and a vector field is a family of vectors.
 
A "vector field" is a function that assigns a vector at each point of a set, usually a manifold or smooth subset of Rn. In order that we have the concept of a vector at each point, we must have a vector space defined at each point, typically, though not necessarily, the "tangent space" to the manifold at that point. The assemblage of a manifold together with a vector space at each point is a "vector bundle", specifically the "tangent bundle" if the vector space is the tangent space.
 
Right, it's already been said, but in short, heuristically speaking a vector space is a set equipped with an underlying field and two operations, while a vector field is a vector-valued function.
 

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