How do we divide one vector field by another?

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Discussion Overview

The discussion centers around the concept of dividing one vector field by another, specifically addressing the mathematical implications and definitions involved in such an operation. Participants explore the theoretical and contextual aspects of vector field division, including its application in different mathematical settings.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether dividing vector fields A and B should be done component-wise, suggesting that this could lead to three different scalar fields.
  • Another participant notes that there is no standard definition for the division of vector fields, indicating that any definition may depend on the specific context and purpose of the operation.
  • A later reply emphasizes that division of vector fields is typically only valid when the vectors share the same direction, particularly in the context of tangent vector fields on a smooth curve.
  • Another participant provides an example involving vector fields on a 1-dimensional manifold, stating that division can occur as long as the denominator vector field is nowhere zero, illustrating this with a specific case on the circle S1.
  • This example is further elaborated to show that the result of the division can yield a scalar field, reinforcing the idea that the operation can be valid under certain conditions.

Areas of Agreement / Disagreement

Participants express differing views on the validity and definition of vector field division, with no consensus reached on a standard approach. Some agree on specific conditions under which division may be applicable, while others highlight the lack of a universal definition.

Contextual Notes

Limitations include the dependence on the context of the vector fields involved and the necessity for the denominator to be non-zero. The discussion also reflects varying interpretations of vector field division based on the dimensionality and properties of the underlying space.

tade
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Let's say we have two vector fields, described by 6 functions: Ax, Ay, Az and Bx, By, Bz.

We want to divide field A by field B.

Do we take Ax/Bx , Ay/By and Az/Bz individually?

But in this case we might end up with Three different scalar fields.

What's the proper way to do this?
 
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There is no standard definition of division of vector fields. But in a given context, for a particular purpose, there may be a use in defining something that shares some properties with division as defined for other algebraic objects.

The answer to the question will come from reflecting on why you want to do this.
 
andrewkirk said:
There is no standard definition of division of vector fields. But in a given context, for a particular purpose, there may be a use in defining something that shares some properties with division as defined for other algebraic objects.

The answer to the question will come from reflecting on why you want to do this.

Thanks. I've figured it out the context of the division.
 
you can normally only divide two vectors if they have the same direction, so on a smooth curve you can divide two tangent vector fields, since the tangent space is everywhere one dimensional. i.e. when one vector is a number times the other, then their quotient is that number.
 
Of course, two vector fields on a 1-dimensional manifold can be divided, as long as the denominator vector field is nowhere zero. Because, at each point they belong to the tangent space at that point, which is the real numbers.

For example, on the circle S1 parametrized by t, 0 ≤ t ≤ 2π, we could have the vector fields

V(t) = e d/dt = e1 d/dt​

and

W(t) = esin(t)2 d/dt.​

In this case, we have

f(t) = V(t) / W(t) = e1 - sin(t)2,​

= ecos(t)2

which is just a scalar field, or in other words just a real-valued function.

This is just saying that

f(t) W(t) = V(t).​

(The same thing is also possible if the space on which the two vector fields are defined is a Riemann surface M. Since then at each point of M the vector of each vector field lies in the complex numbers.)
 
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