How do we interpret the differential of a function on a smooth manifold?

  • Context: Graduate 
  • Thread starter Thread starter panzervlad
  • Start date Start date
  • Tags Tags
    Differential Function
Click For Summary
SUMMARY

The differential of a function on a smooth manifold, denoted as df, is a covector that acts as a linear map on tangent vectors. Specifically, for a point p in a smooth manifold M, df(p) resides in the dual tangent space Tp*. The action of df on a tangent vector ∂/∂xj(p) yields the partial derivative ∂f/∂xj(p). This relationship highlights the connection between differentials, dual tangent spaces, and derivations, establishing that derivations induce linear maps on differentials.

PREREQUISITES
  • Understanding of smooth manifolds and their properties
  • Familiarity with tangent spaces and dual spaces
  • Knowledge of linear maps and covectors
  • Basic concepts of differential calculus in Euclidean spaces
NEXT STEPS
  • Study the properties of differentials in the context of smooth manifolds
  • Explore the relationship between derivations and linear maps in differential geometry
  • Learn about pushforwards and pullbacks in manifold theory
  • Investigate the role of covectors in the dual space of tangent vectors
USEFUL FOR

Mathematicians, physicists, and students of differential geometry who are exploring the concepts of differentials, tangent spaces, and their applications in smooth manifolds.

panzervlad
Messages
2
Reaction score
0
I have done a diagram of pushforwards/pullbacks and I am stuck as to how to graphically interpret the differential of a function.

Let M be a smooth manifold, and let p be a point in M.

Do they lie in the dual tangent space of a point p, like any other covector? (makes sense since its coordinates are expressed with the dual basis dx, but at the same time it does not because it carries with it the partial derivative symbol (coord. of tangent space to p), its 'action' on a function f (since its a linear map)

As shown here,
http://upload.wikimedia.org/math/9/0/5/905edada8d9cc7f0f6982b7ec8583844.png

So there seems to be some connection with the derivations at a point in p(denoted X) which lie in the tangent space of p, yet differential are covectors.

I can't seem to glue together differentials, dual tangent space of p, and derivations of p, in addition to the fact that it acts on a function f !

I understand the intepretation of differentials in the euclidean 3 space as the gradient of f, I understand its properties, properties under pullbacks, but I just can't figure in where they lie in.

Thanks in advance for any help on the topic!
 
Physics news on Phys.org
the differential of f is df, and its value df(p) at each p linves in Tp* the dual tangent space at p. If ∂/∂xj(p) is a tangent vector at p, the value of df(p) on ∂/∂xj(p), is ∂f/∂xj(p).

a derivation on functions induces a linear map on differentials.
 
panzervlad said:
I have done a diagram of pushforwards/pullbacks and I am stuck as to how to graphically interpret the differential of a function.

Let M be a smooth manifold, and let p be a point in M.

Do they lie in the dual tangent space of a point p, like any other covector? (makes sense since its coordinates are expressed with the dual basis dx, but at the same time it does not because it carries with it the partial derivative symbol (coord. of tangent space to p), its 'action' on a function f (since its a linear map)

As shown here,
http://upload.wikimedia.org/math/9/0/5/905edada8d9cc7f0f6982b7ec8583844.png

So there seems to be some connection with the derivations at a point in p(denoted X) which lie in the tangent space of p, yet differential are covectors.

I can't seem to glue together differentials, dual tangent space of p, and derivations of p, in addition to the fact that it acts on a function f !

I understand the intepretation of differentials in the euclidean 3 space as the gradient of f, I understand its properties, properties under pullbacks, but I just can't figure in where they lie in.

Thanks in advance for any help on the topic!

I look at df as a covector because it is a linear map on tangent vectors.

It maps the tangent vector, X, to X.f the derivative of f with respect to X.

In notation, df(x) = X.f.

It is easy to see that df is a linear map.

df(aX + bY) = (aX + bY).f = aX.f + bY.f = adf(X) + bdf(Y)

More generally if f is a map between manifolds then df is a linear map between their tangent spaces.

Derivations are vectors.
 

Similar threads

  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 21 ·
Replies
21
Views
4K
  • · Replies 73 ·
3
Replies
73
Views
8K
  • · Replies 36 ·
2
Replies
36
Views
6K
  • · Replies 15 ·
Replies
15
Views
3K
  • · Replies 20 ·
Replies
20
Views
6K
  • · Replies 2 ·
Replies
2
Views
2K