Talk:Exterior derivative

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does the exterior derivative have a universal construction? does that even make sense to ask? -Lethe | Talk 06:49, Jan 21, 2005 (UTC)

What property would you want the exterior derivative to satisfy in the universal sense? I haven't heard of anyone treating this issue from a categorical perspective. Perhaps take a look at exterior algebra for more information on how this concept can be generalized. - Gauge 23:32, 7 Apr 2005 (UTC)

The theorem I know about is a characterisation as a natural differential operator (due I think to Palais). Charles Matthews 09:22, 8 Apr 2005 (UTC)

៛== codifferential ==

Should this page perhaps have something about the "codifferential"? i.e. the Hodge dual of the exterior derivative. --anon


Using the exterior derivative and the Hodge Star Hodge_star#The_codifferential is the most economical way to present vector calculus for applications in curvilinear coordinates; here's a brief discussion with a few examples.

The Hodge Star in 3-dimensional euclidean space is given by:


\displaystyle
*1=\sigma_1 \wedge \sigma_2 \wedge \sigma_3;


*\sigma_1=\sigma_2 \wedge \sigma_3, *\sigma_2=\sigma_3 \wedge \sigma_1,*\sigma_3=\sigma_1 \wedge \sigma_2;


*(\sigma_2 \wedge \sigma_3) =\sigma_1, *(\sigma_3 \wedge \sigma_1) =\sigma_2, *(\sigma_1 \wedge \sigma_2)=\sigma_3;


*(\sigma_1 \wedge \sigma_2 \wedge \sigma_3)=1 .

Expressions for Div, Grad, Curl and Laplacian Using the Hodge Star

If f is a scalar function and g is a vector function, we have:


df=(\vec{\nabla} f)_i \sigma_i,


d (g_i \sigma_i)=(\vec{\nabla} \times \vec{g})_i *\sigma_i,


d (g_i *\sigma_i)=({\vec {\nabla}} \cdot {\vec{g}})*1,


d * d f=\nabla^2 f *1.

where the sum is over repeated indices (the "einstein summation convention"). These expressions are coordinate independent, and this makes it easy to take div, grad, curl, in curvilinear coordinates.

Fundamental Theorem of Calculus

In classical vector analysis in three dimensions, the fundamental theorem of calculus reads:


\displaystyle \int_P \vec{\nabla} f\cdot \vec{dl}=f(\vec{b})-f(\vec{a})
, where P is a parameter curve with endpoints \vec{a},\vec{b}.


\displaystyle \int_{\partial A}\vec{g} \cdot \vec{dl}=\iint_{A}(\vec{\nabla} \times \vec{g})\cdot \vec{dA}
, where A is an area with whose boundary is the closed loop \partial A.



\displaystyle \iint_{\partial V} \vec{g} \cdot \vec{dS}=\iiint_{V} ({\vec {\nabla}} \cdot {\vec{g}})dV
where V is a closed volume enclosed by \partial V.


In term of the exterior derivative, these three expressions may be written in a unified form:


\displaystyle \int_{C} dh =\int_{\partial C} h

where h is a form, C is a chain overwhich the form is being integrated, and \partial C is the boundary of the chain.


Example 1. Canonical one-forms in Spherical Coordinates.

In spherical coordinates, a displacement by a small amout in the r direction results in a displacement dr, in the theta direction a displacement r dθ, and in the phi direction a displacement r sin θ dφ, so the canonical one-forms are given by:


\displaystyle
\sigma_r =dr,
\sigma_\theta =r d\theta,
\sigma_\phi =r \sin \theta d \phi  .

Example 1.1: Gradient.

Consider a scalar function f(r,θ,φ) in spherical coordinates.


df =\frac{\partial f}{\partial r} dr   
+\frac{\partial f}{\partial \theta} d \theta 
+\frac{\partial f}{\partial \phi} d \phi

Rewriting the d's in terms of the canonical one-forms gives:


df =\frac{\partial f}{\partial r} \sigma_r
+\frac{1}{r}\frac{\partial f}{\partial \theta} \sigma_\theta
+\frac{1}{r \sin \theta}\frac{\partial f}{\partial \phi} \sigma_\phi

The components of the σ's are the components of the gradient.


\vec{\nabla} f=\frac{\partial f}{\partial r} \hat e_r
+\frac{1}{r}\frac{\partial f}{\partial \theta} \hat e_\theta
+\frac{1}{r \sin \theta}\frac{\partial f}{\partial \phi} \hat e_\phi

Example 1.2: Curl of a vector function in spherical coordinates.

Consider the (Dirac) vector potential of a magnetic monopole:


\vec{A}=q \frac{(1-\cos \theta)}{\sin \theta} \hat e_\phi

To find the magetic field,

\vec{B}= \vec{\nabla} \times \vec{A}

we write the vector potential as a one-form:


\vec{A}=q \frac{(1-\cos \theta)}{r \sin \theta} \sigma_\phi=q(1-\cos\theta) d \phi

and then take the exterior derivative:


d (q (1-\cos\theta) d\phi) =\sin \theta d \theta \wedge d\phi=\frac{q}{r^{2}}*\sigma_r

The magnetic field is given by:


\vec{B}= \frac{q}{r^{2}}\hat e_r


--Sfitzsi 02:11, 28 October 2007 (UTC)talk

[edit] definition

Maybe this is in relation with the first question, but regardless of lack of a universal definition or something, shouldn't it be pointed out that this definition is a bit risky as it uses coordinates. What is an important property is that it is independent of coordinates. Proof is probably too much to ask, but shouldn't this subtlety be mentionned?

Yes it should be mentioned. But actually, the invariant formula can be taken as a definition, which does not rely on local coordinates. By the way, I did find an answer to my question above: the universal construction can be found in Hartshorne, and I'm going to add it some day. -lethe talk 23:17, 2 January 2006 (UTC)

[edit] differential topology vs differential geometry

Why does the intro say the exterior derivative operator of differential topology? In my experience, the exterior derivative is discussed in differential geometry texts. Differential topology deals with the topology of differential manifolds, such as cobordism. A glance at the table of contents in a typical book, like Differential Topology by Hirsch or Topology from the Differential point of view by Milnor will not turn up exterior derivative. Is it because of the deRham complex? This would be more likely to be covered in a book about algebraic topology. Rmilson 02:51, 27 April 2006

The two articles redirect to the same place, Differential geometry and topology, so your edit is meaningless, although I guess one day this conflation will be corrected, and then these links will be better. For what it's worth, in my mind, differential geometry is stuff that studies the local properties of extra stuff on manifolds like symplectic forms, volume forms, metric tensors, connections, almost compex structures, etc. In this view, the exterior derivative belongs to the topology side. And remember that the existence of a differential structure is definitely a topological question. But I don't feel strongly enough about the issue to argue about it. One day, someone will want to split that article, and we can argue and argue about which is which, and once we get it all straight, it will matter which way our links point, but until that day, it's pretty irrelevant. -lethe talk + 03:31, 27 April 2006 (UTC)

No it was correct, roughly diff geometry if you have a type of curvature and diff.topology otherwise (for example, simplectic topology and Rieamnnian geometry)--Tosha 23:26, 1 May 2006 (UTC)

It would be good to have a source for this idea. Differential topology is a pretty specialized subject. Interestingly, Mathematics Subject Classification puts the exterior derivative in category 58AXX General theory of differentiable manifolds. Differential geometry is 53-xx. Differential topolgy is 57Rxx, part of 57-XX, Manifolds and cell complexes.

[edit] Typo?

I'm tempted to make the same edit as the one made by an anonymous user on 4 February and reverted by Oleg Alexandrov: shouldn't

"Note that if i = I above then dx_i \wedge dx_I = 0"

in the section "Definition" say "\in I" instead of "= I"? i is an index, I is (as stated immediately previously in the definition) a multi-index, ie a subset of {1, ... n}. Spurts (talk) 08:40, 9 February 2008 (UTC)

Sorry. It was not clear what I meant from the way things were defined. Note that given that I is a multi-index, I am not sure you can apply the notation i\in I which would only work if I were a set. See the way I clarified the notation in the article. Comments and corrections welcome. Oleg Alexandrov (talk) 16:50, 10 February 2008 (UTC)
Yes, nice clear rephrasing. Spurts (talk) 18:36, 10 February 2008 (UTC)