Are all closed forms exact? Are all exact forms closed?

In summary, every conservative vector field is irrotational, every irrotational vector field is conservative, every solenoidal vector field is incompressible, and every incompressible vector field is solenoidal. However, these definitions may vary and it is important to consider de Rham cohomology classes on the underlying manifold. The statements "are all closed forms exact?" and "are all exact forms closed?" correspond to the four statements mentioned above and can be proven using the exterior derivative. The Poincare Lemma tells us that all closed forms are locally exact, but the global topology of the manifold may affect the exactness of closed forms.
  • #1
Jhenrique
685
4
Every conservative vector field is irrotational? Every irrotational vector field is conservative?
Every solenoidal vector field is incompressible? Every incompressible vector field is solenoidal?
 
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  • #2
Please tell us what you think and give your reasoning.
 
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  • #3
I think that every exact form is closed, but not all closed form is exact.

However, I see irrotational vector field and conservative vector field be treated of same way and incompressible vector field and selenoidal vector field be treated like if they are the same thing too.

Edit: those are the definitions that I use...
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Last edited:
  • #4
To answer your question, you need to think about de Rham cohomology classes on ##\mathbb{R}^3##.
 
  • #5
Before you get off into Ben's post (which is the correct answer of course), you should first relate your original statements with the questions "are all closed forms exact? and "are all exact forms closed?".

Your four statements in your original post correspond to four the statements:

Are the following two statements always true?:

$$\nabla\times\nabla f=0$$
$$\nabla\cdot(\nabla\times\vec{f})=0$$

And the statements, if:
$$\nabla\times\vec{f}=0$$

Then is it true that:
$$\vec{f}=\nabla a$$
For some function a?

And if:
$$\nabla\cdot\vec{f}=0$$

Then is it true that:
$$\vec{f}=\nabla\times\vec{a}$$

These 4 statements can be simplified into two statements that I mentioned above (respectively). Why? Because of how the gradient, curl, and divergence can be related to the exterior derivative. Recall the relations:

$$\nabla f=(df)^\sharp$$
$$\nabla\times\vec{f}=[\star(d\vec{f}^\flat)]^\sharp$$
$$\nabla\cdot\vec{f}=\star d(\star\vec{f}^\flat)$$

Then our first two statements are, are the following always true?:
$$\nabla\times\nabla f = [\star(ddf)]^\sharp=0$$
$$\nabla\cdot(\nabla\times\vec{f})=\star d(\star\star d\vec{f}^\flat)=0$$

We can immediately see that these two statements are really the statement "are all exact forms closed?", which is a true statement by construction. The exterior derivative is constructed in such a way that this is true.

The other two statements are a little bit more subtle to prove, they are, in the language of exterior derivatives, the statement "are all closed forms exact?" (You can work this out quite easily yourself given the information provided). It is here that one evokes the de Rham cohomology classes. The Poincare Lemma tells us that all closed forms are locally exact. That is in the neighborhood of each point, one can find a function f such that da=0 implies a=df. In order to make this statement global, one has to care about the global topology of the underlying manifold (which is where de Rham cohomology comes into play). The general result is that globally all closed forms are exact if the manifold is contractable (able to be continuously shrunken to a point) which is true on R^3, but might not be true on say a toroid.
 

What is a vector field?

A vector field is a mathematical concept that assigns a vector quantity to each point in a given space. It is often visualized as a collection of arrows pointing in different directions, where the length and direction of the arrow represent the magnitude and direction of the vector at that point.

What are some real-world applications of vector fields?

Vector fields have many practical applications in fields such as physics, engineering, and computer graphics. Some examples include modeling fluid flow, predicting weather patterns, and creating visual effects in video games.

How are vector fields represented mathematically?

Vector fields are typically represented using vector calculus, which involves the use of mathematical functions and partial derivatives. In two-dimensional space, a vector field can be described by a pair of equations that determine the x and y components of the vector at each point. In three-dimensional space, an additional equation is needed to determine the z component.

What is the difference between a scalar field and a vector field?

A scalar field assigns a scalar value (such as temperature or pressure) to each point in space, while a vector field assigns a vector value (such as velocity or force) to each point in space. Scalar fields can be thought of as a special case of vector fields, where the magnitude and direction of the vector are the same at every point.

How are vector fields visualized?

Vector fields can be visualized using arrows, streamlines, or color mapping. Arrows are commonly used to show the direction and magnitude of the vector at each point, while streamlines show the path that a particle would follow when moving through the vector field. Color mapping is often used to represent the magnitude of the vector at each point, with different colors corresponding to different magnitudes.

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