Coordinate independent version of "gradient"?

In summary: No, what it actually says is that each component of the gradient is not invariant.When we discuss "component" we are really discussing the representation of a vector with respect to a given basis.
  • #1
Stephen Tashi
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Is the "gradient" vector a concept that that is coordinate independent ?

For example, the concept of a vector representing a force is independent of what coordinate system is used to represent the vector. So is a "gradient vector" such a physical vector ?

The web page http://www.mathpages.com/home/kmath398/kmath398.htm says that the temperature at a point in space is invariant under coordinate transformations, but the gradient of the temperature at a point in space is not. I can understand that view if "gradient" always implies a choice of coordinate system. Does it ? - or should we protest to the authors of that page ?
 
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  • #2
The gradient at a point points to the steepest incline.
 
  • #3
fresh_42 said:
The gradient at a point points to the steepest incline.

Are you taking the position that "gradient" is a coordinate independent concept ?
 
  • #4
Stephen Tashi said:
The web page http://www.mathpages.com/home/kmath398/kmath398.htm says that the temperature at a point in space is invariant under coordinate transformations, but the gradient of the temperature at a point in space is not.
No, what it actually says is that each component of the gradient is not invariant (just like individual components of a velocity vector are not invariant). The gradient has covariant components which transform in a particular way under a change of coordinates, similar to the way that a velocity vector's contravariant components transform (in a different way) under a change of coordinates.

It seems that this author refers to velocity as a "vector with contravariant components" and a gradient as a "vector with covariant components". Other authors would use the terms "vector" and "covector" instead.

Either way, the gradient of a scalar is independent of the choice of coordinates.
 
  • #5
DrGreg said:
No, what it actually says is that each component of the gradient is not invariant

Is a "component" of a vector also a vector ?
 
  • #6
Stephen Tashi said:
Is a "component" of a vector also a vector ?
No. Components are coordinate-dependent.
 
  • #7
Stephen Tashi said:
Are you taking the position that "gradient" is a coordinate independent concept ?
There is a beautiful coordinate free definition on Wiki (and they say that e.g. engineers often use it)
$$grad \; f = \lim_{V \rightarrow 0} \frac{\oint_{\partial \mathcal{V}} f d \vec{A}}{V}$$
with a scalar vector field ##f : \mathcal{V} \longrightarrow \mathbb{R}## and a piecewise smooth boundary ##\partial \mathcal{V}## where ##V## denotes the volume and ##d \vec{A}## a surface element (normal to it) of ##\partial \mathcal{V}##.
 
  • #8
DrGreg said:
No, what it actually says is that each component of the gradient is not invariant (just like individual components of a velocity vector are not invariant).

I'll agree that's what the page actually shows, but what the page actually says is

Now suppose we want to convert the gradient to polar coordinates. If the gradient was invariant with respect to coordinates changes we would expect the components to be unchanged at any given point.
- Kevin Brown

which asserts that if a gradient vector is "invariant" then its components should be invariant under a coordinate transformation.

Either way, the gradient of a scalar is independent of the choice of coordinates.

I agree.

What prompted my interest in this was the statement in another thread https://www.physicsforums.com/threads/su-2-and-su-3.879988/#post-5528633 that

An invariant vector ##v## under ##SU(2)## transformation means, that ##φ(X)(v) = v## for all ##X \in SU(2)##,

If we regard an element of ##SU(2)## as a transformation from vectors to different vectors then that definition makes sense. If we regard an element of ##SU(2)## as a transformation from components of a vector in one coordinate system to components of it in a different coordinate system, then no vector is mapped to a different vector.
 
  • #9
One of the first things here on PF I have been remembered on was to carefully distinguish between vectors and their presentation through coordinates. Of course does a transformation of coordinates not change the vectors themselves, only how we calculate with them. (And I did not say representation here on purpose.)

Invariant vectors of an operation however, indicate states that doesn't change under this operation, e.g. the colour-mixture of quarks or electric charges.
 
  • #10
Stephen Tashi said:
Is a "component" of a vector also a vector ?

DrGreg said:
No. Components are coordinate-dependent.

We can regard a "component" of vector V as a scalar c_i that is coefficient of the i-th basis vector v_i in some representation of V with respect to a set of basis vectors.

- or we can ( as physics texts do) draw a picture of vector V "resolved into components" and portray and discuss these "components" as vectors.

Perhaps "component" is an example of ambiguous terminology.
 
  • #11
Stephen Tashi said:
Perhaps "component" is an example of ambiguous terminology.
Of course it is, since you can write ##\vec{v} = \vec{x}+\vec{y}=\vec{a}+\vec{b}## in unbounded many ways and all summands are components if you will.
As soon as you speak of coordinates ##\vec{v} = (v_1 , \dots , v_n)## according to a basis ##\mathfrak{e}_i##, you mean ##\vec{v} = \sum_{î=1}^{i=n} v_i \mathfrak{e}_i## and with the coordinates you simultaneously fixed the components ##v_i \mathfrak{e}_i##. At least this is usually meant by component as soon as a basis is involved.
 
  • #12
fresh_42 said:
Of course it is, since you can write ##\vec{v} = \vec{x}+\vec{y}=\vec{a}+\vec{b}## in unbounded many ways and all summands are components if you will.

That illustrates that if we accept that a "component" of a vector is a vector then we have the ambiguity that a given vector can be expressed in components in different ways. What I'm discussing is the ambiguous use of the word "component" to mean something that is vector and also something that is not a vector.

The question "Is a component of a vector also a vector" isn't the same as asking "Is a component of a vector a unique vector".

As soon as you speak of coordinates ##\vec{v} = (v_1 , \dots , v_n)## according to a basis ##\mathfrak{e}_i##, you mean ##\vec{v} = \sum_{î=1}^{i=n} v_i \mathfrak{e}_i## and with the coordinates you simultaneously fixed the components ##v_i \mathfrak{e}_i##. At least this is usually meant by component as soon as a basis is involved.

That suits me. I don't have any axe to grind about whether the components of ##\vec{v}## are defined to be the ##v_i## or the ##v_i \mathfrak{e}_i##.

But it seems that in the typical scenario in physics where people are classifying physical quantities according to "how their components transform under a change of coordinates", interpreting a "component" to be a vector gets contradictory. If a component is a vector then it doesn't become a different vector under a change of coordinates. If a component is a scalar in the i_th place of a coordinate representation of a vector then there is no contradiction in saying it changes to a different scalar in the i_th place of a representation using a different basis.
 
  • #13
I'm built simple. As soon as physics lurks around the corner, I tend to view components of ##v## as forces which altogether result in ##v##, i.e. a bunch of summands.

To call ##v_i \mathfrak{e}_i## the ##i##-th component of ##v## is a bit of sloppy for saying
"##v_i## is the ##i##-th coordinate with respect to the basis ##\{ \mathfrak{e}_j \, | \, j \in I\}## of ##V## where ##I \subseteq \mathbb{N} \cup \{ \infty \}## is the index set of the basis and ##|I|## the dimension of ##V##".
You see: such a precision isn't fun to write. The more since there is no advantage to do so. Therefore I can well accept someone referring to ##v_i \mathfrak{e}_i## or for short ##v_i## as the ##i##-th component.
 
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FAQ: Coordinate independent version of "gradient"?

What is the coordinate independent version of "gradient"?

The coordinate independent version of "gradient" is a mathematical concept used in vector calculus to represent the rate of change of a scalar field in any direction, regardless of the coordinate system being used. It is commonly denoted by the symbol ∇ (nabla).

How is the coordinate independent version of "gradient" different from the traditional gradient?

The traditional gradient is dependent on the chosen coordinate system and involves partial derivatives in the direction of each coordinate axis. In contrast, the coordinate independent version of "gradient" eliminates the dependence on the coordinate system and involves only the dot product of the nabla operator and the vector field.

What is the significance of using the coordinate independent version of "gradient"?

Using the coordinate independent version of "gradient" allows for a more general and concise representation of vector calculus operations. It also simplifies calculations and makes it easier to translate mathematical concepts into other coordinate systems.

Can the coordinate independent version of "gradient" be used in any coordinate system?

Yes, the coordinate independent version of "gradient" can be used in any coordinate system, including Cartesian, polar, and spherical coordinates. This is because it does not rely on the specific coordinates being used, but rather on the underlying mathematical principles.

How is the coordinate independent version of "gradient" used in physics?

The coordinate independent version of "gradient" is widely used in physics, particularly in fields such as fluid dynamics, electromagnetism, and general relativity. It is used to represent physical quantities, such as velocity, force, and electric field, in a way that is independent of the coordinate system being used.

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