Differential Geometery: 3-forms on a surface

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SUMMARY

The discussion centers on the proof that 3-forms on a two-dimensional surface are equal to zero. The user outlines an initial approach using the exterior derivative and the Leibniz rule, but recognizes its limitations. The key conclusion is that a 3-form, being a totally antisymmetric linear form, cannot have three linearly independent vectors in a two-dimensional space, leading to the conclusion that such a form must vanish. The reasoning is solidified by demonstrating that any antisymmetric function of two identical vectors results in zero.

PREREQUISITES
  • Understanding of differential forms and their properties
  • Familiarity with the concept of antisymmetry in linear algebra
  • Knowledge of the exterior derivative and Leibniz rule
  • Basic grasp of vector spaces and dimensionality
NEXT STEPS
  • Study the properties of differential forms in depth
  • Learn about the exterior algebra and its applications in differential geometry
  • Explore the implications of antisymmetry in higher-dimensional vector spaces
  • Investigate the relationship between forms and topology on surfaces
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Students and researchers in differential geometry, mathematicians focusing on algebraic topology, and anyone interested in the properties of differential forms and their applications in theoretical physics.

SNOOTCHIEBOOCHEE
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3-forms on a surface. They are equal to 0. i know this. What i don't know is how to prove it.

This is not a homework question, but my final is tomorrow, and this is a fair question he might ask.

All i can think of is the following

Let dx and dy be one forms

dx^dy would be two form

if we take the differential of that it would be a 3 form, so we get the following

d(dx^dy) = d(dx)^dy + dx^d(dy) by leibniz rule, which is 0 +0.

I know this proof is not good enough cause it is only a special case, and doesn't even take into account that we are on a surface.

So could somebody please help me outline a proof?
 
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A 3-form is a totally antisymmetric linear form on vectors. E.g. f(x,y,z)=-f(y,x,z) and etc for all transpositions of the vectors x,y,z. If x,y,z are from a two dimensional space then at most two of them are linearly independent. Why does this mean f must be 0?
 
Well if at most 2 of them are linearly independent, then this implies that in 2d space

x=u
y=v
z= av + bu

Thus f(u,v, av+bu) = f(u,v,av) + f(u,v,bu) ...

actually that's probably not right, and I am stuck.
 
What would f(u,v,v) and f(u,v,u) be if f is totally antisymmetric? Remember f is linear, you can pull the constants out.
 
If it is anti-symetric then

f(u,v,v)= - f(u,v,v) (i switched the v's there)

Thus f must be 0That good enough?
 
Well, f(u,v,v) is always zero if it's antisymmetric (symmetric has 2 m's in it). f doesn't need to be zero on any combination of vectors if the underlying space has more than two dimensions. Look at it this way. f is determined by the values of f(ei,ej,ek) where ei,ej,ek are basis vectors. If the vector space is two dimensional, it only has two basis vectors. Do you see why that means a 3-form on a surface vanishes?
 

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