Definition of tangent vector on smooth manifold

  • #1
cianfa72
1,847
204
TL;DR Summary
About the coordinate-free definition of tangent vector on manifold
I would ask for a clarification about the following definition of tangent vector from J. Lee - Introduction to Smooth Manifold. It applies to Euclidean space ##R^n## with associated tangent space ##R_a^n## at each point ##a \in R^n##.

$$D_v\left. \right|_a (f)=D_vf(a)=\left. \frac {df(a + tv)} {dt} \right|_{t=0}$$
From my understanding the above is actually a coordinate-free definition. In other words ##a## inside ##f(a + tv)## is a point in ##R^n## and it is not the tuple of coordinates in some affine basis. The same for ##v##: it is a vector and is not the tuple of vector's components in some vector space basis.

So for example ##a=
\begin{bmatrix}
1 \\
5 \\
3 \\
2
\end{bmatrix} ## is a point in ##R^4## and ##v=
\begin{pmatrix}
2 \\
1 \\
6 \\
4
\end{pmatrix} ## is a vector in ##R^4## with vector space structure.
 
Last edited:
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  • #2
cianfa72 said:
TL;DR Summary: About the coordinate-free definition of tangent vector on manifold

I would ask for a clarification about the following definition of tangent vector ...
$$D_vf(a)=$$

... The Pantheon of Derivatives ...
 
  • #3
Is there a question here?
 
  • #4
martinbn said:
Is there a question here?
Yes, it is. Does my coordinate-free interpretation of tangent vector as in post #1 actually make sense w.r.t. the Lee definition ?
 
  • #5
cianfa72 said:
Yes, it is. Does my coordinate-free interpretation of tangent vector as in post #1 actually make sense w.r.t. the Lee definition ?
Yes. Why?
 
  • #6
cianfa72 said:
Yes, it is. Does my coordinate-free interpretation of tangent vector as in post #1 actually make sense w.r.t. the Lee definition ?
Yes and no. You only said that "all derivatives are directional derivatives." It is the major part of Weierstraß's notation ##f(x_0+v)=f(x_0)+ D_{x_0}(f)\cdot v + r(v)## (part 1 of my link).

However, you mentioned Riemannian manifolds. They are defined by coordinates as the central part of the concept, so you need a lot more to "eliminate" the coordinates again (part 3 of my link).

Weierstraß's formalism works fine in real (or complex) Euclidean spaces as in your example. General manifolds require a more elaborate handling.
 
  • #7
martinbn said:
Yes. Why?
Because in many text tangent vectors are defined using either implicitely or explicitly a smooth chart in a Atlas. The above from Lee seems to be instead a coordinate indipendent/intrinsic definition (even though at that stage in the book it is limited to Euclidean spaces).
 
  • #8
cianfa72 said:
Because in many text tangent vectors are defined using either implicitely or explicitly a smooth chart in a Atlas. The above from Lee seems to be instead a coordinate indipendent/intrinsic definition (even though at that stage in the book it is limited to Euclidean spaces).
You can use coordinates to define coordinate independent objects. And there are definitions of tangent vectors that do not use coordinates.

I am still don't understand the motivation for your question.
 
  • #9
If you pick a chart and define tangent vectors using it, then you must show that that definition is actually coordinate-indipendent. The kind of definition as in Lee is instead intrinsecally coordinate-free i.e. it defines, let me say from the beginning, an indipendent object.
 
  • #10
cianfa72 said:
If you pick a chart and define tangent vectors using it, then you must show that that definition is actually coordinate-indipendent. The kind of definition as in Lee is instead intrinsecally coordinate-free i.e. it defines, let me say from the beginning, an indipendent object.
And?
 
  • #11
Nothing, I just asked for a confirmation of my understanding of such definition.
 
  • #12
cianfa72 said:
Nothing, I just asked for a confirmation of my understanding of such definition.
But you didn't ask about the the dinition itself nor about your understanding of it. You asked whether it counts as coordinate independent. I am still puzzled. If you understand the definition what difference does it make if it is called this or that!
 
  • #13
martinbn said:
You asked whether it counts as coordinate independent.
That's the point, it is !
 
  • #14
Another point related to this: from the geodesic equation using an affine parameter we get ##g(V,V)=const## where ##V## is the geodesic tangent vector at each point along it. We can check this calculating ##\nabla_V g(V,V)## using the fact the ##\nabla_Vg=0## since the connection is metric compatible.

My doubt is the following: the map ##g(V,V)## is defined only along the geodesic curve and is not off it. Nevertheless the calculation in a coordinate basis actually involves derivatives in directions where the map is not defined.

How is that possibile?
 
Last edited:
  • #15
cianfa72 said:
Another point related to this: from the geodesic equation using an affine parameter we get ##g(V,V)=0## where ##V## is the geodesic tangent vector at each point along it.
Can you edit your post. This makes no sense. You probably mistyped it.
cianfa72 said:
We can check this calculating ##\nabla_V g(V,V)## using the fact the ##\nabla_Vg=0## since the connection is metric compatible.

My doubt is the following: the map ##g(V,V)## is defined only along the geodesic curve and is not off it. Nevertheless the calculation in a coordinate basis actually involves derivatives in directions where the map is not defined.

How is that possibile?
 
  • #16
Yes sorry, ##g(V,V)## is constant along the geodesic curve. My question is about why one is allowed to take directional derivatives along the curve when the map ##g(V,V)## is not defined off the curve.
 
  • #17
cianfa72 said:
Yes sorry, ##g(V,V)## is constant along the geodesic curve. My question is about why one is allowed to take directional derivatives along the curve when the map ##g(V,V)## is not defined off the curve.
The directional derivative depends only on the values along an integral curve of the vector in the direction you take the derivative of. So you can deferentiate quantities that are defined only along the curve. The general notion is induced connection along a submanifold.
 
  • #18
martinbn said:
The directional derivative depends only on the values along an integral curve of the vector in the direction you take the derivative of. So you can deferentiate quantities that are defined only along the curve.
But in a coordinate chart the directional derivative operator along a curve ##\frac {D} {d\lambda} ()## is defined as ##a^i {\partial_i}()##. Hence derivatives of the function along the coordinate basis are actually involved (i.e. the function the directional derivative operator acts on is required to be defined in an open neighborhood of each point along the curve).
 
Last edited:
  • #19
If you cannot figour it out why dont you look ot up! Lee's book on Riemannian manifold has that at the end of the section on connections. Where he discusses vector fields along curves and their derivatives along the curve.
 
  • #20
martinbn said:
Lee's book on Riemannian manifold has that at the end of the section on connections. Where he discusses vector fields along curves and their derivatives along the curve.
I took a look at Lee' book chapter 4. He introduces the concept of estendibile vector field starting from a vector field defined along a curve. I believe the same extension can be applied also for functions defined only along a curve.
 
  • #21
cianfa72 said:
TL;DR Summary: About the coordinate-free definition of tangent vector on manifold

I would ask for a clarification about the following definition of tangent vector from J. Lee - Introduction to Smooth Manifold. It applies to Euclidean space ##R^n## with associated tangent space ##R_a^n## at each point ##a \in R^n##.

$$D_v\left. \right|_a (f)=D_vf(a)=\left. \frac {df(a + tv)} {dt} \right|_{t=0}$$
From my understanding the above is actually a coordinate-free definition. In other words ##a## inside ##f(a + tv)## is a point in ##R^n## and it is not the tuple of coordinates in some affine basis. The same for ##v##: it is a vector and is not the tuple of vector's components in some vector space basis.

So for example ##a=
\begin{bmatrix}
1 \\
5 \\
3 \\
2
\end{bmatrix} ## is a point in ##R^4## and ##v=
\begin{pmatrix}
2 \\
1 \\
6 \\
4
\end{pmatrix} ## is a vector in ##R^4## with vector space structure.
Hmm. I would say that is stretching things. There are two problems here. First, you are only dealing with ##\mathbb{R}^n##. The second is that for something to be coordinate free it shouldn't rely on a coordinate chart around the point ##a##.

Honestly, I don't think the question makes much sense until you talke about tangent vectors on a general manifold.
 
  • #22
jbergman said:
There are two problems here. First, you are only dealing with ##\mathbb{R}^n##. The second is that for something to be coordinate free it shouldn't rely on a coordinate chart around the point ##a##.
Indeed, there is no chart involved. ##\mathbb R^n## is an affine Euclidean space. ##a## and ##v## are respectively a point in ##\mathbb R^n## and a vector in the translation vector space (so ##a + tv## is well-defined and coordinate-free).

jbergman said:
Honestly, I don't think the question makes much sense until you talke about tangent vectors on a general manifold.
Yes, the step further is define tangent vectors as derivation on smooth functions defined on the manifold.
 

What is a tangent vector on a smooth manifold?

A tangent vector on a smooth manifold is a geometric object that represents a direction and a magnitude at a point on the manifold. It can be thought of as the derivative of a curve at a point on the manifold, indicating the direction in which the curve is moving at that point. Tangent vectors are fundamental in defining the structure of the manifold and are used in various calculations, including derivatives of functions and flows along vector fields.

How is a tangent vector at a point defined mathematically?

Mathematically, a tangent vector at a point on a smooth manifold can be defined in several equivalent ways. One common definition is as an equivalence class of curves passing through the point, where two curves are considered equivalent if their derivatives at the point in question are the same. Another approach defines a tangent vector as a derivation at a point, which is a linear map from the space of smooth functions on the manifold to the real numbers that satisfies the Leibniz rule.

What is the tangent space and how is it related to tangent vectors?

The tangent space at a point on a manifold is the vector space consisting of all tangent vectors at that point. It captures all possible directions in which one can tangentially move away from the point on the manifold. This space is crucial for defining differential calculus on manifolds, as it allows for the generalization of concepts like gradients, divergences, and curls from Euclidean space to more general manifolds.

How do you compute the tangent vector of a function on a manifold?

To compute the tangent vector of a function on a manifold, you typically need to consider a curve whose image lies in the manifold and passes through the point of interest. The function is then composed with this curve, and the derivative of this composition at the relevant point is taken. The resulting derivative, which is a real number, represents the action of the tangent vector on the function along the curve.

What role do tangent vectors play in differential geometry and physics?

In differential geometry, tangent vectors are used to define differential forms, vector fields, and various types of derivatives such as the Lie derivative and the exterior derivative. They are essential in the study of geometric properties of manifolds, such as curvature and torsion. In physics, tangent vectors are crucial in describing velocities and momenta of particles moving through space, especially in the context of general relativity where the manifold represents the spacetime continuum. They are also fundamental in formulating laws of physics in a coordinate-independent manner.

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