Dual basis and differential forms

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Discussion Overview

The discussion revolves around the concepts of dual bases in linear algebra and their relation to differential forms, particularly in the context of the canonical basis and its representation in various mathematical frameworks. Participants explore the uniqueness of the dual basis and the implications of using differential forms in manifold theory.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions whether the dual basis of a basis β always equals the linear functionals defined by Friedberg, Spence, and Insel (FSI), suggesting that since these functionals agree on basis elements, they might be identical.
  • Another participant rephrases the question about the uniqueness of linear functionals that satisfy the Kronecker delta condition for different lists of functionals.
  • A participant asserts that if two lists of linear functionals agree on the basis elements, they should be equal, referencing a result from linear algebra.
  • Discussion arises around the notation of differential forms, with one participant noting that the representation of functionals as dx_i is convenient in the context of differential forms.
  • Another participant elaborates that do Carmo's approach is focused on differential forms defined on manifolds, indicating that the dual basis in this context aligns with the linear algebraic definition.
  • Clarification is provided regarding the notation used for differential forms and how it relates to functions defined on manifolds, emphasizing the utility of this representation.

Areas of Agreement / Disagreement

Participants generally agree that if two sets of linear functionals satisfy the same conditions on basis elements, they must be equal. However, there is some uncertainty regarding the implications of differential forms and their representation, indicating that the discussion remains somewhat unresolved in this area.

Contextual Notes

The discussion touches on the relationship between linear algebra and differential geometry, highlighting potential limitations in understanding due to the different contexts in which dual bases are applied. There is also a dependence on definitions and notation that may not be universally agreed upon.

Who May Find This Useful

This discussion may be of interest to students and professionals in mathematics, particularly those studying linear algebra, differential geometry, and the application of dual bases in various mathematical contexts.

Buri
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I was reading about dual spaces and dual bases in the book Linear Algebra by Friedberg, Spence and Insel (FSI) and they give an example of a linear functional, f_i (x) = a_i where [x]_β = [a_1 a_2 ... a_n] denotes the matrix representation of x in terms of the basis β = {x_1, x_2, ..., x_n} of V. Now they go on to prove that {f_1, f_2, ..., f_n} is in fact the dual basis of β for V* by actually never using the fact that f_i (x) = a_i, but rather that f_i (x_j) = δ_ij, where δ_ij denotes the Kronecker delta function. I also happened to have read other references by Halmos and Lang and they did not go about actually finding the linear functionals, but rather use the fact that a linear functional that satisfies φ_i (x_j) = δ_ij exists. Now I suppose my question is, doesn't it so happen that the dual basis of β ALWAYS equals {f_1, f_2, ..., f_n} as defined by FSI? Because since φ and f agree on the basis elements in turns out that φ_i = f_i for all x.

Now here is where differential forms come in. I was reading do Carmo's book on Differential forms and he says that the basis of R³ is {dx_i; i = 1,2,3} where x_i represents the i-th coordinate function. So I guess its true that dx_i = f_i(x) from above then right? I, to be honest, find this a bit unexpected as x_i is precisely f_i when we're using the canonical basis, yet differentiating doesn't mess it up. So I actually went on to check it on some values that dx_i really does equal f_i(x). And so it seems to also verify what I was asking in the first paragraph.

Is this all right? I'd appreciate someone clarifying some of this stuff to me.

Thanks!

EDIT: I guess another way of putting my question is, is the dual basis unique, in the sense that the linear functionals that form the basis are always identically equal to f_i(x) as given by FSI?
 
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Another way of putting your question is:

If you have two lists f and g of linear functionals satisfying:
fi(xj) = δ_ij
gi(xj) = δ_ij​

Can you prove that, for each i,
fi = gi
?
 
I guess I could since they agree on basis elements they should be equal - that's a result from linear algebra. I guess that answers my question, but the differential form example sort of throws me off...
 
I suppose the purpose of 'rewriting' the f_i (x) as dx_i is probably just more convenient as it is "differential" forms.
 
...purpose of 'rewriting' the f_i (x) as dx_i is probably just more convenient as it is "differential" forms.
The purpose is that do Carmo's is interested in differential forms defined on a manifold (or in an open set of it), not just on a single point. Therefore, given a manifold M and p \in M and R3 is its tangent space at p, then the dual basis to the canonical one is indeed dx_i(p) and is exactly the same as the dual basis as defined in linear algebra.

This notation is useful when, for example, you have a function f defined on an open set U of M and you need df, which is then written (usually supressing p):

df(p) = \sum_{i = 1}^{n}a_{i}\left(p\right)dx_{i}\left(p\right)

Where the a_i's are (usually) smooth functions on U.
 
JSuarez said:
The purpose is that do Carmo's is interested in differential forms defined on a manifold (or in an open set of it), not just on a single point. Therefore, given a manifold M and p \in M and R3 is its tangent space at p, then the dual basis to the canonical one is indeed dx_i(p) and is exactly the same as the dual basis as defined in linear algebra.

This notation is useful when, for example, you have a function f defined on an open set U of M and you need df, which is then written (usually supressing p):

df(p) = \sum_{i = 1}^{n}a_{i}\left(p\right)dx_{i}\left(p\right)

Where the a_i's are (usually) smooth functions on U.

Ahh that makes sense to me now. Thanks a lot JSuarez! Also thanks to Hurkyl for helping me out too! :smile:
 

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