The following is a pretty lengthy procedure, but converting the divergence, (nabla, del) operator between coordinate systems comes up pretty often. While there are tables for converting between common coordinate systems, there seem to be fewer explanations of the procedure for deriving the conversion, so here goes!

What do we actually want?

To convert the Cartesian nabla

to the nabla for another coordinate system, say… cylindrical coordinates.

What we’ll need:

1. The Cartesian Nabla:

2. A set of equations relating the Cartesian coordinates to cylindrical coordinates:

3. A set of equations relating the Cartesian basis vectors to the basis vectors of the new coordinate system:

How to do it:

Use the chain rule for differentiation to convert the derivatives with respect to the Cartesian variables to derivatives with respect to the cylindrical variables.

The chain rule can be used to convert a differential operator in terms of one variable into a series of differential operators in terms of other variables that the first variable depends on. This is exactly what we need because we want to start out with a differential operator in terms of x,

in our Cartesian to cylindrical example and convert it to differential operators in terms of the cylindrical variables, . For x, the chain rule gives us:

NOTE: More generally, if you’re given a differential operator in terms of a variable, u, that can be expressed in terms of n other variables, v, then to convert the differential operator in terms of u to differential operators in terms of the v’s the chain rule gives:

This is explained very nicely and in more detail here and here.

OK, so let’s get to work converting the three differential operators of the Cartesian nabla into differential operators in terms of cylindrical coordinates. We start with x,

using,

We can construct the first differential term above as:

but, we really need to get all the x’s and y’s out of the mix and just have cylindrical coordinates remaining. So, using a few substitutions we get:

Now, follow the same procedure for the next differential term in the chain rule.

Remember though that r depends on x and y, so when we differentiate, we need to expand r and use the simple one-variable chain rule. Using a table of derivates for the arccosine, we get:

The final derivative is taken using the quotient rule:

We already know from our work above that

so

Now, we start the lengthy process of simplifying:

Because z is the same z as in the Cartesian system, it doesn’t depend on x, (exactly as in the Cartesian system), so we have

and our complete conversion for the x derivative term is:

Now use the same techniques to convert the differential for y:

Starting in a similar manner:

Then, evaluating the second term of the chain rule we get:

Remember again that r depends on x and y, so when we differentiate, we need to expand r and use the one variable chain rule.

The final derivative is taken using the quotient rule:

We already know from our work above that

so

Now, we simplify again:

So,

Finally, since z is not transformed between coordinate systems:

Now that we have each differential converted, we can write the nabla operator as

Which is kind of a mess! We know that when we’re finished we expect to see nicely grouped cylindrical differential terms with cylindrical unit vectors, so let’s group on the cylindrical differentials

Now remembering our original definition of cylindrical unit vectors,

We can make two more substitutions and arrive at the final result for nabla in cylindrical coordinates!

## Sunday, March 1, 2009

### Cool Math Tricks: Deriving the Divergence, (Del or Nabla) into New (Cylindrical) Coordinate Systems

Posted by Hamilton Carter at 3:34 PM

Labels: Cartesian coordinates, Cool Math Tricks, coversion, curl, cylindrical coordinates, divergence, Mathematics, nabla, physics

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## 16 comments:

Hi Hamilton,

very nice tutorial. Following your reasoning I was able to derive the Nabla from Cartesian coordinate system to my own defined non-standard spherical coordinate system. And it worked perfectly!

Thanks again.

Hernan

Thank you....

great help!

--Su

Hi,

Good article. I noticed a shortcut for d phi / dx and d phi / dy. If you use phi = arctan(y/x),

d phi / dx = 1/(1+(y/x)^2).d/dx(y/x)

=-1/(1+(y/x)^2).y/x^2

=-y/(x^2+y^2)

=-sin(phi)/r

similar for d phi/dy, and avoids a lot of messy algebra.

Found your tutorial on google. Very nicely done. Thank you!

Firstly, thanks for this, I've been trying in vain to derive something similar and I've finally noticed that I've been using the wrong transformation of unit vectors!

Similarly to previous comments, this particular result falls out fairly quickly when you note that r_x = cos(phi); r_y = sin(phi); phi_x = -sin(phi)/r and phi_y=cos(phi)/r. Otherwise a good exercise in the chain rule!

hi,

i'm from india and i found your explanation extremely helpful.i was able to derive expressions for divergence and curl on my own by following a method similar to yours.

it was enlightening.

thanks.

Your derivation is great, but it's too lengthy. You can actually derive it starting with the definition of divergence, which is the limit as the volume of a closed surface approaches zero of the flux through that surface. Taking the surface as the standard differential volume unit in cylindrical coordinates, you can directly derive it much more quickly than going through the chain rule and coordinate transformations.

Thank you Doughboy! That's an awesome pointer! It took me awhile to work through all the details of what you said, but in the end it's far easier and left me with a physical understanding of the derivation instead of just a mechanical list of steps. Expect to see a post on deriving the spherical laplacian in this way soon. Thanks again!

Hi Doughboy,

Is the following for spherical coordinates about what you had in mind?

http://copaseticflow.blogspot.com/2012/09/an-intuitive-way-to-spherical-gradient.html

Thanks again! You made my homework this week a lot easier and much more of a learning experience, (in a good way).

awesome

Thanks a lot. I was searching for this material and I found great your explanation !!

Thanks a lot. I was searching for this material and I found great your explanation !!

Awesome stuff man!

Your work saved me a lot of time

Thanks a lot

thanxs bro.. great help

Thank you a lot man!!!

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