Differential Geometry/Ricci Calculus Question

In summary, the problem is that the definition of the differential does not seem to be consistent between different sources.
  • #1
mannyfold
12
0
I am having a problem that is glossed over in many textbooks but is driving me nuts.

Consider the following inner product or one-form with a vector argument:

dx_i(partial_j) = kroenicker delta ij

Here, dx_i is a one-form and partial_j (the partial wrt x_j) is a vector.

Some books say:

dx_i(partial_j) = partial x_i / partial x_j = kroenicker delta ij

The problem is that I can't see how this is true. (Well, I do know that partial x_i / partial x_j = kroenicker delta ij but I can't see the rest.) What am I missing here?

Thanks.
 
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  • #2
The crux is the definition of the differential:

df(v)=vf, where v is a tangent vector.
This is of the form L(x)=ax in linear algebra:
L is a linear function, x a vector, a the covector, defined by a_i=L(e_i).

Now let df be dx and v the coordinate-tangentvector d/dx (d=partials),
then

dx^i(d/dx_j)=dx^i/dx_j=delta ij.
 
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  • #3
AHA!

That is the problem!

I don't see how df(v) = vf. Where did you get that definition of the differential?

df = partial f / partial x^i dx^i (i = 0 .. n)

but the partials here are just the components of the 1-form.

I have the feeling that there is something very simple that I'm not seeing here.
 
  • #4
Let's write df=(df/dx^i)dx^i (last d=partials)

What is df(v), where v is a vector?

df(v)=(df/dx^i)dx^i(v)


What is dx^i(v)?

It's simply v^i.

So you can write:

df(v)=(df/dx^i)v^i = v^i(df/dx^i).

But what is our v^i on a manifold?

It's d/dx^i!

So you can write it as df(v)=vf, where v=d/dx^i
 
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  • #5
Hi Javanse,

I appreciate your replies, but I am going to challenge what you wrote.

We are seeking to prove df(v) = vf.

You wrote:

df(v)=(df/dx^i)dx^i(v)
What is dx^i(v)?

It's simply v^i.


But this assumes what we are trying to prove:
dx^i(v) = v^jx^i =d/dx^j (x^i) = v^i delta ij

You wrote:

df(v)=(df/dx^i)v^i = v^i(df/dx^i).

How can you commutate the differential operator v^i?

Finally, from this last statement you get df(v) = vf, but if you read it carefully you don't dispose of the df/dx^i so it appears that your result is:

df(v) = (d/dx^j) (df/dx^i) = v (df/dx^i)
 
  • #6
Another perspective on this is yet another equality I've found that was not expounded upon:

dx^i (partial/partial x^j) = (partial x^i)/(partial x^j) = delta ij

I get the last equality. I can't see the first.
 
  • #7
Okay, last try :)

Let v=v^i d/dx^i

-> v(f)=v^i df/dx^i.

This is the directional derivative.

df(v)=(df/dx^i)v^i = v^i(df/dx^i).

How can you commutate the differential operator v^i?
I introduced the operator at the end.
You can also write the v^i from the beginning in front of the derivative.

But the result is the same as above: it is the directional derivative.

But this assumes what we are trying to prove:
dx^i(v) = v^jx^i =d/dx^j (x^i) = v^i delta ij
dxi(v)=v(xi)=vj delta ij=vi :)

Maybe someone else has another explanation.
 
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Related to Differential Geometry/Ricci Calculus Question

1. What is differential geometry?

Differential geometry is a branch of mathematics that studies the properties of geometric objects, such as curves and surfaces, using techniques from calculus and linear algebra. It is used to study the shape and curvature of spaces, and has applications in many fields including physics, engineering, and computer science.

2. What is Ricci calculus?

Ricci calculus, also known as tensor calculus, is a mathematical framework used in differential geometry to study the curvature of spaces. It involves the use of tensors, which are mathematical objects that can represent geometric quantities such as length, angle, and curvature.

3. What is the difference between differential geometry and traditional geometry?

Traditional geometry deals with idealized, flat geometric objects such as points, lines, and planes. Differential geometry, on the other hand, studies curved spaces and their properties using techniques from calculus and linear algebra. It allows for the analysis of more complex and realistic geometric objects.

4. What are some real-world applications of differential geometry and Ricci calculus?

Differential geometry and Ricci calculus have numerous applications in fields such as physics, engineering, and computer science. They are used to study the curvature of space-time in general relativity, to model and analyze surfaces in computer graphics, and to understand the behavior of particles in fluid dynamics, among many others.

5. Is it necessary to have a strong background in mathematics to understand differential geometry and Ricci calculus?

While a solid understanding of calculus and linear algebra is necessary to fully grasp the concepts of differential geometry and Ricci calculus, it is not necessary to have an extensive background in mathematics. With dedication and practice, anyone can learn the basics of these subjects and appreciate their applications in various fields.

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