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add curl and divergence functions to vectors #3021

Closed jasongrout closed 9 years ago

jasongrout commented 16 years ago

Make curl work if the vector has 2 or 3 components. Is there a higher-dimensional analogue for curl?

CC: @eviatarbach

Component: calculus

Author: Robert Bradshaw

Branch/Commit: 7b49240

Reviewer: Eviatar Bach, Samuel Lelièvre, Travis Scrimshaw

Issue created by migration from https://trac.sagemath.org/ticket/3021

jasongrout commented 16 years ago
comment:1

(After some discussion on IRC) It seems that Sage is really lacking in the differential geometry area. If some good work is done there, this request will likely automatically be satisfied.

A short term solution would be to write a vector field class.

93749b3a-c0a4-47a7-b178-004ba08b0b97 commented 15 years ago
comment:2
# a possible implementation of div, for irc user hedgehog

var('x, y, z')
(x, y, z)
f1 = x^2 + 2*y; f2 = x^3 + sin(z); f3 = y*z + 2
F = vector([f1, f2, f3])

print F(x=0, y=2, z=3)

def _variables(F):
    # this is a little funky -- we're finding all the variables that occur
    # in the components of F, and somehow choosing an ordering.  There are
    # other (better ways) but I'm not sure what the correct interface is.
    # For now, the user can specify the variables if they choose, just
    # like the gradient method.
    variables = list(set(flatten([ list(f.variables()) for f in F ])))
    variables.sort()
    return variables

def div(F, variables=None):
    assert len(F) == 3
    if variables is None:
        variables = _variables(F)

    s = 0
    for i in range(len(F)):
        s += F[i].derivative(variables[i])
    return s

print F
print div(F)
print div(F, variables=(y, x, z))

def curl(F, variables=None):
    assert len(F) == 3
    if variables is None:
        variables = _variables(F)
    assert len(variables) == 3
    x, y, z = variables
    Fx, Fy, Fz = F
    i = Fz.derivative(y) - Fy.derivative(z)
    j = Fz.derivative(z) - Fx.derivative(x)
    k = Fy.derivative(x) - Fz.derivative(y)
    return vector([i, j, k])

print curl(F)
print curl(F, variables=(y, x, z))

# let's assert that div(curl) == 0
# we need the variables because the ordering is suspect otherwise: for me,
# sage: _variables(F)
# [x, y, z]
# sage: _variables(curl(F))
# [z, x, y]
assert div(curl(F, variables=(x, y, z)), variables=(x, y, z)) == 0
jasongrout commented 14 years ago
comment:3

See #5506 for a collection of things to add to a symbolic vectors class

robertwb commented 14 years ago
comment:4

There is a 7-dim curl. Why doesn't the generic vector one work?

jasongrout commented 14 years ago
comment:5

What generic curl (I don't think it's in Sage right now)? Or are you saying we should just add curl to generic vectors? I agree; no reason to add this to just the callable symbolic vectors class (what was I thinking?).

34f90a52-c114-47db-a93b-3f83978622c0 commented 12 years ago
comment:7

Also

 j = Fx.derivative(z) - Fz.derivative(x)
robertwb commented 10 years ago

Branch: u/robertwb/ticket/3021

robertwb commented 10 years ago

New commits:

4e34d0dAdd divergence and curl to vectors.
robertwb commented 10 years ago

Commit: 4e34d0d

eviatarbach commented 10 years ago
comment:13

I was just going to work on this today!

I haven't tested the code, but looks good. Just a few things:

  1. Is there any reason why you're converting the variables to their string representations in ._variables()?
  2. The parameter in Expression.gradient is called variables; I think it would be good to switch vars to variables for consistency.
  3. I think there should be test(s) for .curl() with the variables parameter.
  4. I believe the raise TypeError, "curl only defined for 3 dimensions" syntax is deprecated, and that the string should be passed as an argument.
slel commented 10 years ago
comment:14

Nitpicking on the error message in div: I would change it from "variable list must be equal to the dimension of self" to "number of variables must equal dimension of self".

About point 4 in eviatarbach's comment:

slel commented 10 years ago
comment:15

More nitpicking:

eviatarbach commented 10 years ago
comment:16

Another thought:

The extracting of variables from each element and then sorting by name looks scary, and can give unexpected results (if your vector is (x1, x10, x2), I believe you would get 3 for the divergence instead of 1 as you might expect, since '10' comes before '2' in the alphanumeric sort). Unless there's a better solution, I think we should have it so that the variables list has to always be given explicitly.

jasongrout commented 10 years ago
comment:17

If your vectors are callable symbolic vectors, you should be able to get the list of arguments from the base ring (since you've already explicitly given an order to the variables):

sage: f(x,y,z)=(x*y,y*z,z^2)
sage: f
(x, y, z) |--> (x*y, y*z, z^2)
sage: type(f)
<class 'sage.modules.vector_callable_symbolic_dense.Vector_callable_symbolic_dense'>
sage: f.base_ring().arguments()
(x, y, z)
eviatarbach commented 10 years ago
comment:18

That's a great idea. I think we should have that for callable vectors.

For the record, Mathematica and Maple both have default coordinate systems, which is how they deal with this issue.

7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 10 years ago

Changed commit from 4e34d0d to f353c94

7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 10 years ago

Branch pushed to git repo; I updated commit sha1. New commits:

f353c94Missing doctest.
7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 10 years ago

Changed commit from f353c94 to 8ab298e

7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 10 years ago

Branch pushed to git repo; I updated commit sha1. New commits:

ae901d1Merge tag '6.2' into div-curl
8ab298eAddress reviewer comments.
robertwb commented 10 years ago
comment:22

I've addressed all the comments.

kcrisman commented 10 years ago
comment:24

I was going to look at this, but looks like Eviatar and Samuel are on top, so just think of this as a ping :)

robertwb commented 10 years ago
comment:25

Replying to @kcrisman:

I was going to look at this, but looks like Eviatar and Samuel are on top, so just think of this as a ping :)

Feel free to look at this yourself :)

tscrim commented 10 years ago
comment:26

My 2 cents, I'd have curl also take 2-dim inputs and return a vector. It might also be a good idea for a way (likely another method) which takes a 2-dim input and return a scalar as a shorthand (a la Green's theorem).

+1 to getting these (fundamental) methods into Sage.

robertwb commented 9 years ago
comment:27

Are there any enhancements to this with-patch, 7-year-old ticket that simply can't be deferred 'till later so we can finally get this in?

tscrim commented 9 years ago

Changed branch from u/robertwb/ticket/3021 to u/tscrim/curl_divergence-3021

tscrim commented 9 years ago

Changed commit from 8ab298e to 7b49240

tscrim commented 9 years ago

Author: Robert Bradshaw

tscrim commented 9 years ago
comment:28

I added the 2-dim input. If you're happy with my changes, then I think we can set this to a positive review.


New commits:

0de71acMerge branch 'u/robertwb/ticket/3021' of trac.sagemath.org:sage into u/tscrim/curl_divergence-3021
7b49240Added 2-dim curl which returns a scalar value.
tscrim commented 9 years ago

Reviewer: Eviatar Bach, Samuel Lelièvre, Travis Scrimshaw

vbraun commented 9 years ago

Changed branch from u/tscrim/curl_divergence-3021 to 7b49240