Solving Laplace's Equation with Covariant Derivative

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Discussion Overview

The discussion revolves around solving Laplace's equation using covariant derivatives in cylindrical coordinates, particularly in the context of the Navier-Stokes equations. Participants are exploring the mathematical formulation and transformation of Laplace's equation for different components in cylindrical coordinates.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant seeks guidance on transforming Laplace's equation for each component in cylindrical coordinates, referencing the covariant derivative and Christoffel symbols.
  • Another participant provides a correction to the initial formulation and suggests that the Laplacian can be derived from the divergence of a tensor.
  • There is a request for clarification on obtaining the Laplacian for the individual components of the cylindrical coordinates (r, theta, z), indicating a need for a step-by-step solution.
  • Some participants argue that there is only one Laplacian operator applicable to all three components in 3D, while others emphasize the need for separate formulations.
  • Further contributions include references to external resources for understanding scale factors and the general covariant form of the Navier-Stokes equations.
  • One participant expresses difficulty in understanding the index notation used in the equations and requests an example for the r component.
  • Another participant explains the summation convention for indices and encourages the understanding of the derivation process for the vector Laplacian.

Areas of Agreement / Disagreement

Participants exhibit disagreement regarding the necessity of separate Laplacian formulations for each cylindrical coordinate component versus the applicability of a single operator. The discussion remains unresolved with multiple competing views presented.

Contextual Notes

Participants reference specific equations and resources, indicating limitations in their understanding of the mathematical steps involved and the notation used. There are unresolved aspects regarding the application of the covariant derivative to Laplace's equation.

Who May Find This Useful

This discussion may be useful for individuals interested in advanced mathematical physics, particularly those studying fluid dynamics and differential geometry in the context of cylindrical coordinates.

Nemesis_one
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Hello!
I am trying t solution Navier-Stokes equation and I cannot find something about Laplacian. I would like to solution Laplace’a equation for each component.I am trying to transform cylindrical coordinate. I would like to search equation for covariant derivative. For divergence of a contravariant tensor I found:

Aj;k=1/gkk(dAj/dxk)-ri;jkAi

where r is christoffel symbol

I do not know what I have to change that obtain the same for Laplace’a equation? If Christoffel symbols do not change?
I will be grateful for any directions and instructions.
 
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What you've written there doesn't make any sense.You may have meant

[tex]A^{j}{}_{;k}=A^{j}{}_{,k}+\Gamma^{j}{}_{lk} A^{l}[/tex]

There's no big deal,really,u also need the laplacian...

[tex]A^{j}{}_{;k}{}^{;k}[/tex]

which can be gotten by applying the divergence on the object in the RHS of the gradient written above.

Daniel.
 
You got the laplacian in formulas (91-92).What else do u need...?

Daniel.
 
Yes but I have to solution for each components. I have to have laplacian for r,teta and z separately. Formulas (91 -92) are showed finaly equation.

Kamil
 
Hmm,i don't understand,what laplacian for "r","theta" & "z",there's only one operator for all 3 of them at the same time,if you're considering the laplacian in 3D.

Daniel.
 
At page http://mathworld.wolfram.com/CylindricalCoordinates.html formulas (47-49). If I add this I will obtain derivative for r component in cylindrical coordinate( [v*delatV]r) I have to obtain the same for Laplacian equation for each components ( [delta2V]r) I have this solution but I do not know how to solution step by step. For derivative is equation (46) now I tam trying to find equation for laplacian. (How I can insert equation?)

Kamil
 
I'm really sorry,but i'll just tell u what to do.I won't be doin' any calculations.

Here http://mathworld.wolfram.com/ScaleFactor.html u lear about scale factor (a.k.a.Lamé parameters).U can apply formula #2 from that page to compute the 3 scale factors for the cylidrical coordinates.

Then u go here http://mathworld.wolfram.com/Laplacian.html where in formula #1 u have to use the scale factors computed before in order to get the expression for the laplacian in cylidrical coordinates...

Is there something else to it...?

Daniel.
 
Here's the deal.U need to put the N-S equation for incompressible flow in a generally covariant form.

Start with the vector form

[tex]\frac{d\vec{u}}{dt}=\vec{f}+\frac{1}{\rho}\nabla p+\frac{\mu}{\rho}\Delta \vec{u}[/tex] (1)

I won't use the column,semicolumn notation,since it won't be that easy to follow,because many indices will come up.

Take the convective derivative of the vector field 'convective velocity'

[tex]\frac{d\vec{u}}{dt}=\left(\partial_{t}u^{i}+u^{j}\nabla_{j}u^{i}\right)\vec{e}_{i}[/tex] (2)

[tex]\nabla_{j}u^{i}=\partial_{j}u^{i}+\Gamma^{i}{}_{jk}u^{k}[/tex] (3)

So u can couple (2) & (3) to get

[tex]\frac{d\vec{u}}{dt}=\left(\partial_{t}u^{i}+u^{j}\partial_{j}u^{i}+u^{j}\Gamma_{jk}u^{k}\right)\vec{e}_{i}[/tex] (4)

Next term

[tex]\vec{f}=f^{i}\vec{e}_{i}[/tex] (5)

Next

[tex]\nabla p=\left(g^{ij}\nabla_{j}p\right)\vec{e}_{i}[/tex] (6)

The last & the most interesting by far is the vector laplacian.U'll see why i used the other notation for the derivative & the covariant derivative

[tex]\Delta\vec{u}=\left(\nabla^{j}\nabla_{j}u^{i}\right)\vec{e}_{i}=\left(g^{jk}\nabla_{k}\nabla_{j}u^{i}\right)\vec{e}_{i}[/tex] (7)

To be continued.

Daniel.
 
Last edited:
  • #10
Alright.U need to compute this animal [itex]\nabla_{k}\nabla_{j}u^{i}[/itex]

[tex]\nabla_{k}\nabla_{j}u^{i} =\nabla_{k}\left(\partial_{j}u^{i}+\Gamma^{i}{}_{jl}u^{l}\right)[/tex] (8)

Imagine that tensor [itex]\nabla_{j}u^{i}[/itex] as being what it is,namely a (1,1) tensor.Denote it generically as [itex]T_{j}{}^{i}[/itex].Then

[tex]\nabla_{k}T_{j}{}^{i}=\partial_{k}T_{j}{}^{i}+\Gamma^{i}{}_{km}T_{j}{}^{m}-\Gamma^{n}{}_{kj}T_{n}{}^{i}[/tex] (9)

Applying (9) to our case we get

[tex]\nabla_{k}\nabla_{j}u^{i}=\partial_{k}\left(\partial_{j}u^{i}+\Gamma^{i}{}_{jl}u^{l}\right)+\Gamma^{i}{}_{km}\left(\partial_{j}u^{m}+\Gamma^{m}{}_{jl}u^{l}\right)-\Gamma^{n}{}_{kj}\left(\partial_{n}u^{i}+\Gamma^{i}{}_{nl}u^{l}\right)[/tex] (10)

Contract (10) with the inverse metric tensor [itex]g^{jk}[/itex] and u have the last term of N-S equations,expressed in the basis [itex]\vec{e}_{i}[/itex].

Now u'll have to apply this abstract tensor formalism to the orthonormal case of cylidrical coordinates.U'll need both the metric & its inverse (check Mathworld page),the gradient of a scalar in cylidrical coords.(for the pressure term,check the Mathworld page) and the second kind Christoffel symbols (check the Mathworld page).

I think you're all set...:wink:

Daniel.
 
Last edited:
  • #11
Thank you very much:) Now I try to understand this:)
 
  • #12
No good:( I do not understand index:( Therefore I cannot solute this:( Can you do one example? For r components?

Kamil
 
  • #13
All,those indices (subscripts and superscripts) take 3 values.Each time 2 get repeated in diagonal direction (NE-SW or NW-SE),a summation over all three possible values is understood.

E.g.the derivative of a vector

[tex]\partial_{i}u^{i}=\partial_{r}u^{\rho}+\partial_{\varphi}u^{\varphi}+\partial_{z}u^{z}[/tex]

And similar to everything else...I'm sorry,but that's what you have to do to prove the formula you're already been given.

Daniel.
 
  • #14
Thanks for this posting Dexter, it's helping my understanding. I'm trying to fully understand the derivation of the formulation for the vector laplacian in transformed coordinates - do you know anything on the web that also describes this (basically what you've written) but in a more explanatory way?
 

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