What is the Helmholtz Decomposition of a Vector Field?

In summary, the conversation discussed finding an irrotational function F(r) and a solenoidal function G(r) that satisfy the vector field H(r) = F(r) + G(r). The Helmholtz's theorem was mentioned, which states that any vector field H can be expressed as the sum of a gradient and a curl. The solution involved taking the divergence of H and solving for Laplace's equation, with the end result being a guessed solution of \Psi = -xyz(x+y+z). The individual vector fields F and G were then found using this solution.
  • #1
Zebrostrich
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Homework Statement



Let H(r) = x[tex]^{2}[/tex]yi + y[tex]^{2}[/tex]zj + z[tex]^{2}[/tex]xk. Find an irrotational function F(r) and a solenoidal function G(r) such that H(r) = F(r) + G(r)

Homework Equations



From Helmholtz's theorem, any vector field H can be expressed as:

H = -[tex]\nabla[/tex][tex]\Psi[/tex] + [tex]\nabla[/tex]xA

So then:

F = -[tex]\nabla[/tex][tex]\Psi[/tex]

and G = [tex]\nabla[/tex]xA

The Attempt at a Solution



Taking the divergence of H(r) = F(r) + G(r), I obtained (since the Divergence of G is zero)

[tex]\nabla[/tex][tex]^{2}[/tex][tex]\Psi[/tex] = - 2xy - 2yz - 2zx

I really have no idea how to solve this equation. If I took the curl, I would have an even more complicated system. I found out a solution to this equation, but merely by guessing. That would be [tex]\Psi[/tex] = -xyz(x+y+z), and from there I found the two vector fields. However, that does not seem sufficient enough. Is there a better way to approach this problem that I am missing?
 
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  • #2
I don't think so. If you can guess a solution to Laplace's equation, which you did, you are way ahead of the game. I think that's the way you were intended to solve it. The problem was rigged that way. Great job.
 
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FAQ: What is the Helmholtz Decomposition of a Vector Field?

What is Helmholtz Decomposition?

Helmholtz Decomposition, also known as the Helmholtz-Hodge Decomposition, is a mathematical method used in vector calculus to decompose a vector field into two components: a divergence-free field and a curl-free field.

Why is Helmholtz Decomposition important?

Helmholtz Decomposition is important in many fields, including physics, engineering, and fluid dynamics. It allows for the simplification of complex vector fields and helps in solving differential equations.

What is the physical interpretation of the two components in Helmholtz Decomposition?

The divergence-free component represents the solenoidal part of the vector field, which represents the flow or circulation of the field. The curl-free component represents the irrotational part of the vector field, which represents the potential or gradient of the field.

What are some applications of Helmholtz Decomposition?

Helmholtz Decomposition has many applications in physics and engineering, including fluid dynamics, electromagnetism, and image processing. It is also used in weather forecasting, computer graphics, and sound analysis.

Is Helmholtz Decomposition unique?

Yes, Helmholtz Decomposition is unique for a given vector field, meaning that there is only one way to decompose a vector field into its divergence-free and curl-free components. However, the decomposition may not be unique in some cases, such as when the vector field has a singularity or boundary conditions are not specified.

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