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

In summary: They live in the tangent space at a point.So there is some connection between df and derivations.This connection is that a derivation can induce a linear map on differentials.In summary, the differential of a function f is a covector that acts as a linear map on tangent vectors, mapping them to the derivative of f with respect to that tangent vector. This covector lives in the dual tangent space at a point, and there is a connection between it and derivations, which are vectors living in the tangent space. A derivation can induce a linear map on differentials, further connecting these two concepts.
  • #1
panzervlad
2
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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!
 
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  • #2
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.
 
  • #3
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.
 

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

What is the differential of a function?

The differential of a function is the instantaneous rate of change of the function at a specific point. It is represented by the notation dy/dx.

How is the differential of a function calculated?

The differential of a function can be calculated using the derivative formula, which involves taking the limit of the change in y over the change in x as the change in x approaches 0. Alternatively, it can also be calculated using the rules of differentiation.

What is the relationship between the differential of a function and its graph?

The differential of a function is the slope of the tangent line to the graph of the function at a specific point. This means that the value of the differential at a point will determine the steepness of the curve at that point.

When is the differential of a function equal to 0?

The differential of a function is equal to 0 when the function is at a local maximum or minimum. This is because the slope of the tangent line at these points is horizontal, indicating no change in the function.

What is the significance of the differential of a function in real-world applications?

The differential of a function is used to model and understand real-world phenomena that involve rates of change, such as velocity, acceleration, and growth. It allows us to make predictions and analyze the behavior of these phenomena.

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