Solving a Tensor Field: Divergence of P = 0

In summary, we can use the product rule for the divergence of a dyadic product to show that the condition of a vanishing divergence of a second rank tensor leads to the relationship \frac{d}{dr}(r^2 P_n(r)) = 2r P_t(r).
  • #1
Päällikkö
Homework Helper
519
11
The following isn't actually a homework problem, but this seems to be the natural place to ask questions of this sort. Without further ado,

I have a spherically symmetric tensor field, which is written with the help of dyadics as
[tex]P(r) = P_n(r)\mathbf{e}_r\mathbf{e}_r + P_t(r)(\mathbf{e}_\theta\mathbf{e}_\theta+\mathbf{e}_\varphi\mathbf{e}_\varphi)[/tex]

From the condition that the divergence of P vanishes, I am to deduce that
[tex]\frac{d}{dr}(r^2 P_n(r)) = 2r P_t(r)[/tex]

As I've got little to no experience with tensors (especially when they're in dyadic form), I'm at a loss here.


For a vector field A one would calculate the divergence as
[tex]{1 \over r^2}{\partial \left( r^2 A_r \right) \over \partial r} + {1 \over r\sin\theta}{\partial \over \partial \theta} \left( A_\theta\sin\theta \right) + {1 \over r\sin\theta}{\partial A_\phi \over \partial \phi}[/tex]

I tried throwing stuff into here, and ended up with nonsense:
[tex]\frac{d}{dr}(r^2 P_n(r)) + \cot(\theta) r P_t(r) = 0[/tex]

I suppose the divergence could be calculated, in tensor terminology, as the contraction of P with the covariant derivative. This would lead to three equations, which I couldn't get to give the wanted result.
 
Physics news on Phys.org
  • #2
Päällikkö said:
The following isn't actually a homework problem, but this seems to be the natural place to ask questions of this sort. Without further ado,

I have a spherically symmetric tensor field, which is written with the help of dyadics as
[tex]P(r) = P_n(r)\mathbf{e}_r\mathbf{e}_r + P_t(r)(\mathbf{e}_\theta\mathbf{e}_\theta+\mathbf{e}_\varphi\mathbf{e}_\varphi)[/tex]

From the condition that the divergence of P vanishes, I am to deduce that
[tex]\frac{d}{dr}(r^2 P_n(r)) = 2r P_t(r)[/tex]

As I've got little to no experience with tensors (especially when they're in dyadic form), I'm at a loss here.For a vector field A one would calculate the divergence as
[tex]{1 \over r^2}{\partial \left( r^2 A_r \right) \over \partial r} + {1 \over r\sin\theta}{\partial \over \partial \theta} \left( A_\theta\sin\theta \right) + {1 \over r\sin\theta}{\partial A_\phi \over \partial \phi}[/tex]

I tried throwing stuff into here, and ended up with nonsense:
[tex]\frac{d}{dr}(r^2 P_n(r)) + \cot(\theta) r P_t(r) = 0[/tex]

First off, it's important to notice that the divergence of a second rank tensor will be a vector.

What you seem to have done is say that

[tex]\mathbf{\nabla}\cdot P(r)=\mathbf{\nabla}\cdot\left(P_n(r)\mathbf{e}_r + P_t(r)(\mathbf{e}_\theta+\mathbf{ e}_\varphi)\right)=0[/tex]

(from which you obtain [itex]\frac{d}{dr}(r^2 P_n(r)) + \cot(\theta) r P_t(r) = 0[/itex])

Of course, this is utter nonsense.

Since you are given [itex]P(r)[/itex] in dyadic form, the easiest way to compute its divergence is probably to continue working in dyadic form and make use of the following product rule (which is a natural extension for the usual vector calculus rule involving the divergence of the product of a scalar and a vector):

[tex]\mathbf{\nabla}\cdot (\mathbf{A}\mathbf{B})=\mathbf{B}(\mathbf{\nabla}\cdot \mathbf{A})+\mathbf{A}\cdot(\mathbf{\nabla}\mathbf{B})[/tex]

[tex]\implies \mathbf{\nabla}\cdot \left[ P_n(r)\mathbf{e}_r\mathbf{e}_r + P_t(r)(\mathbf{e}_{\theta}\mathbf{e}_{\theta}+\mathbf{e}_{\varphi}\mathbf{e}_{\varphi}) \right] = \left[\mathbf{e}_r (\mathbf{\nabla}\cdot \mathbf{P_n(r)\mathbf{e}_r})+\mathbf{P_n(r)\mathbf{e}_r}\cdot(\mathbf{\nabla}\mathbf{e}_r)\right] [/tex]

[tex]+ \left[\mathbf{e}_\theta (\mathbf{\nabla}\cdot \mathbf{P_t(r)\mathbf{e}_\theta})+\mathbf{P_t(r)\mathbf{e}_\theta}\cdot(\mathbf{\nabla}\mathbf{e}_\theta)\right] + \left[\mathbf{e}_\varphi (\mathbf{\nabla}\cdot \mathbf{P_t(r)\mathbf{e}_\varphi})+\mathbf{P_t(r)\mathbf{e}_\varphi}\cdot(\mathbf{\nabla}\mathbf{e}_\varphi)\right][/tex]

The desired result then follows by inspection of the radial component of [itex]\mathbf{\nabla}\cdot P(r)[/itex].
 
Last edited:

FAQ: Solving a Tensor Field: Divergence of P = 0

What is a tensor field?

A tensor field is a mathematical concept used in physics to describe the distribution of tensors (multidimensional arrays of numbers) throughout a space. It is often used to represent physical quantities such as velocity, stress, or electromagnetic fields.

What is the divergence of a tensor field?

The divergence of a tensor field is a mathematical operation that calculates the rate at which the tensor values are spreading out or converging at a given point in space. It is represented by the symbol ∇∙P, where ∇ (del) is the gradient operator and P is the tensor field.

What does it mean when the divergence of a tensor field is zero?

If the divergence of a tensor field is equal to zero, it means that the tensor values are neither spreading out nor converging at any point in space. This can indicate a state of equilibrium or balance in the system represented by the tensor field.

How can the divergence of a tensor field be solved?

To solve the divergence of a tensor field, one must first find the gradient of the tensor field using the appropriate mathematical operations and then take the dot product of the gradient with the tensor field. This will result in a scalar quantity, which represents the divergence of the tensor field.

What are some applications of solving the divergence of a tensor field?

The divergence of a tensor field has many applications in physics and engineering, including fluid dynamics, electromagnetism, and stress analysis. It can help us understand the behavior of fluids, the movement of particles in an electric field, and the distribution of forces within a solid structure.

Back
Top