more smooth manifolds questions (differential forms edition)

MathNugget

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Given: M is a smooth manifold, dim(M)>1dim(M)> 1, and αΩ1(M)\alpha \in \Omega^1(M), yet αβ=0,βΩ1(M)\alpha \wedge \beta =0, \forall \beta \in \Omega^1(M). Ω1M\Omega^1{M} are the differential 1-forms.

Question: α\alpha must be 0?

I've decided that I want it to be (it would be weird otherwise).

Given that Ω1M\Omega^1{M} is a vector space (or so I think), I guess we can build a matrix of independent differential 1-forms, A. αA=0\alpha A=0 , because there's products of 1 forms happening.

And now when we return through A1A^{-1}, 0A1=00 A^{-1}=0. Am I even close?
 
Maybe it was αA\alpha \wedge A, now that I think of it. And here I generalize vector- matrix product for 1-forms...
 
I guess we can build a matrix of independent differential 1-forms
What does this mean? I can see how you can build a matrix representing exterior products in R2\mathbb R^2 (it looks rather simple), but for manifolds your best bet would be to localize and prove that α=0\alpha=0 for every local map.
 
What does this mean?
I don't know. I thought this would work for R3\mathbb{R}^3, so I said to myself...maybe it is true in an arbitrary vector space, and won't even need to use that this is differential geometry...

but for manifolds your best bet would be to localize and prove that α=0\alpha=0 for every local map.
I'll see what I can do about this. I'll take a few hours to look into what this means :)
 
so I said to myself...maybe it is true in an arbitrary vector space,
You are right. Not sure why I thought of 2d only. Maybe because you mentioned a matrix, which would make sense in 2D, but not sure about higher dimensions.
and won't even need to use that this is differential geometry...
But you are asking about differential forms on manifolds, which only makes sense in the context of differential geometry. I still think that reducing this to local neighborhoods/maps, which effectively means reducing it to cartesian space Rn\mathbb R^n, is the way to go.
In Rn\mathbb R^n your proof would depend on the definition of the exterior, a.k.a. "wedge", product, and lemmas and theorems you can use. I think it can be proven using somewhat abstract definition from Wikipedia.
 
So, we choose a basis of Ω1(M)\Omega^1(M), write α,β\alpha, \beta in that basis, then do the wedge product?
αβ=0<i<j<n(αiβjαjβi)(eiej)\alpha \wedge \beta=\sum_{0< i< j< n} (\alpha_i\beta_j-\alpha_j\beta_i)(e_i\wedge e_j), where eie_i are the elements of the basis?
 
So, we choose a basis of Ω1(M)\Omega^1(M), write α,β\alpha, \beta in that basis, then do the wedge product?
αβ=0<i<j<n(αiβjαjβi)(eiej)\alpha \wedge \beta=\sum_{0< i< j< n} (\alpha_i\beta_j-\alpha_j\beta_i)(e_i\wedge e_j), where eie_i are the elements of the basis?
Except that Ω1(M)\Omega^1(M) might not have any basis, but a small enough neighborhood would.
 
No, but because MM is a manifold. Try finding vector basis for S2\mathbb S^2
True, but not very obvious as to how I'd prove it. It's pretty clear that for the 2 ways I know to locally map it to open sets of R2\mathbb{R}^2, the 2 vector basis doesn't go in same place for all inverse maps.
If the atlas had a single map though, it would be certain that the manifold has a basis. Maybe only manifolds that are globally homeomorphic to open sets of Rn\mathbb{R}^n have a basis?
 
So, we choose a basis of Ω1(M)\Omega^1(M), write α,β\alpha, \beta in that basis, then do the wedge product?
αβ=0<i<j<n(αiβjαjβi)(eiej)\alpha \wedge \beta=\sum_{0< i< j< n} (\alpha_i\beta_j-\alpha_j\beta_i)(e_i\wedge e_j), where eie_i are the elements of the basis?
returning to this...do I pick β1=1\beta_1=1 and the rest 0, then β2=1\beta_2=1 and the rest 0, and so on?
I'll think about it tomorrow, where these calculations get me. Thank you for help.
 
returning to this...do I pick β1=1\beta_1=1 and the rest 0, then β2=1\beta_2=1 and the rest 0, and so on?
I'll think about it tomorrow, where these calculations get me. Thank you for help.
some computations: for n vectors in basis, I get n equations, and out of n2n^2 sum terms, n+1 are 0...
1i<jαi(eiej)j<knαk(ejek)=0\sum_{1\leq i < j} \alpha_i(e_i \wedge e_j) - \sum_{j< k \leq n}\alpha_k(e_j \wedge e_k)=0 ,j=1,n\forall j =\overline{1,n}.
I guess the 2nd sum needed k instead of i, for clarity. I also see why everyone likes the Einstein summation notation, but I simply don't see what I am doing anymore when using that.
 
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some computations: for n vectors in basis, I get n equations, and out of n2n^2 sum terms, n+1 are 0...
1i<jαi(eiej)j<knαk(ejek)=0\sum_{1\leq i < j} \alpha_i(e_i \wedge e_j) - \sum_{j< k \leq n}\alpha_k(e_j \wedge e_k)=0 ,j=1,n\forall j =\overline{1,n}.
I guess the 2nd sum needed k instead of i, for clarity. I also see why everyone likes the Einstein summation notation, but I simply don't see what I am doing anymore when using that.
What is the basis of 2(R)\bigwedge^2 (\mathbb R) ?
 
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What is the basis of 2(R)\bigwedge^2 (\mathbb R) ?
I'll follow wikipedia's steps to find that out...
e1={1}e_1=\{1\} would be a basis for R\mathbb{R}. It is very weird though, as repeating the process I see on wikipedia leads me to believe it doesn't have a basis, as e1e1=0e_1 \wedge e_1 =0, and there's a single 'vector' in the basis. I have found the answer was actually {0}, also on same wikipedia page.
Sounds like you want me to find dim(Ω1(M))dim(\Omega^1(M)), relative to dim(M)dim(M)?
 
I'll follow wikipedia's steps to find that out...
e1={1}e_1=\{1\} would be a basis for R\mathbb{R}. It is very weird though, as repeating the process I see on wikipedia leads me to believe it doesn't have a basis, as e1e1=0e_1 \wedge e_1 =0, and there's a single 'vector' in the basis. I have found the answer was actually {0}, also on same wikipedia page.
Sounds like you want me to find dim(Ω1(M))dim(\Omega^1(M)), relative to dim(M)dim(M)?
You are right, my mistake: I meant to ask what is the basis of 2Rn\bigwedge^2 \mathbb R^{\mathbf n}.
 
You are right, my mistake: I meant to ask what is the basis of 2Rn\bigwedge^2 \mathbb R^{\mathbf n}.
Well, it appears to be {eiej1i<jn}\{e_i \wedge e_j \mid 1 \leq i < j \leq n \}.
I suppose Ω1M1(M)\Omega^1{M}\subset \bigwedge^1(M), so they use same basis? and then αβ\alpha \wedge \beta would be an element of 2(M)\bigwedge^2(M), so it has same basis?
Did I made a mistake earlier, and that's why I do these calculations? 😓
 
Well, it appears to be {ei∧ej∣1≤i<j≤n}\{e_i \wedge e_j \mid 1 \leq i < j \leq n \}{ei∧ej∣1≤i<j≤n}.
Agree with this.
I suppose Ω1M⊂⋀1(M)\Omega^1{M}\subset \bigwedge^1(M)Ω1M⊂⋀1(M), so they use same basis? and then α∧β\alpha \wedge \betaα∧β would be an element of ⋀2(M)\bigwedge^2(M)⋀2(M), so it has same basis?
As I mentioned earlier there is no basis on a manifold in the general case.
Did I made a mistake earlier, and that's why I do these calculations? 😓
I don't understand this part.
 
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