Unique volume element in a vector space

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Discussion Overview

The discussion centers on the uniqueness of the volume element defined by an alternating tensor in the context of vector spaces with orthonormal bases. Participants explore the implications of the determinant of the transformation matrix between two bases and its relation to orientation.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant asserts that if the determinant of the transformation matrix A is -1, then the alternating tensor f evaluated at the new basis does not yield a unique value, as it could be -1 instead of 1.
  • Another participant questions the reasoning behind the claim of non-uniqueness, asking what other tensor could also satisfy the condition f(v_1,...,v_n)=1.
  • A clarification is made that f(u_1,u_2,...,u_n) may equal -1, even though f(v_1,v_2,...,v_n) is defined to be 1.
  • It is noted that f will yield 1 for any basis with the same orientation and -1 for those with opposite orientation.
  • Participants discuss the implications of having a fixed orientation and whether it is possible for the determinant to be -1.
  • One participant explains that a determinant of 1 indicates bases with the same orientation, while -1 indicates opposite orientations, leading to a discussion about the nature of orthonormal transformation matrices.
  • It is stated that a transformation matrix with determinant 1 represents a rotation, while one with determinant -1 represents a rotation combined with a reflection.

Areas of Agreement / Disagreement

Participants express differing views on the uniqueness of the volume element and the implications of the determinant's sign. The discussion remains unresolved regarding the uniqueness of f and the conditions under which it holds.

Contextual Notes

Participants rely on definitions of orientation and properties of determinants, but the discussion does not resolve the implications of these concepts on the uniqueness of the volume element.

yifli
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Given two orthonormal bases [itex]v_1,v_2,\cdots,v_n[/itex] and [itex]u_1,u_2,\cdots,u_n[/itex] for a vector space [itex]V[/itex], we know the following formula holds for an alternating tensor [itex]f[/itex]:
[tex]f(u_1,u_2,\cdots,u_n)=\det(A)f(v_1,v_2,\cdots,v_n)[/tex]
where A is the orthogonal matrix that changes one orthonormal basis to another orthonormal basis.

The volume element is the unique [itex]f[/itex] such that [itex]f(v_1,v_2,\cdots,v_n)=1[/itex] for any orthonormal basis [itex]v_1,v_2,\cdots,v_n[/itex] given an orientation for [itex]V[/itex].

Here is my question:
If [itex]\det(A)=-1[/itex], then [itex]f(u_1,u_2,\cdots,u_n)=-1[/itex], which makes [itex]f[/itex] not unique
 
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Hi yifli! :smile:
I don't quite see why your reasoning implies that f is not unique. What's the other tensor that makes [itex]f(v_1,...,v_n)=1[/itex]?
 
yifli said:
Here is my question:
If [itex]\det(A)=-1[/itex], then [itex]f(u_1,u_2,\cdots,u_n)=-1[/itex], which makes [itex]f[/itex] not unique

micromass said:
Hi yifli! :smile:
I don't quite see why your reasoning implies that f is not unique. What's the other tensor that makes [itex]f(v_1,...,v_n)=1[/itex]?

Sorry for the confusion. Actually I mean [itex]f(u_1,u_2,\cdots,u_n)[/itex] is not necessarily equal to 1, it may be equal to -1 also, even though [itex]f(v_1,v_2,\cdots,v_n)[/itex] is made to be 1
 
Yes, but the point is that f of every basis with the same orientation will give you 1. If you take the opposite orientation, then you will get -1 of course.
 
micromass said:
Yes, but the point is that f of every basis with the same orientation will give you 1. If you take the opposite orientation, then you will get -1 of course.

So given a fixed orientation, it's impossible for [itex]\det(A)[/itex] to be -1?

What does it mean for [itex]\det(A)[/itex] to be -1?
 
yifli said:
So given a fixed orientation, it's impossible for [itex]\det(A)[/itex] to be -1?

What does it mean for [itex]\det(A)[/itex] to be -1?

The transition matrix between two orthonormal bases has det(A)=1 if and only if the bases have the same orientation and has det(A)=-1 if they have opposite orientation.
 
A orthonormal transformation matrix with det(A)=1 is a rotation.
A orthonormal transformation matrix with det(A)=-1 is a rotation combined with a reflection.

So the volume sign would be invariant.
 

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