Looking at Maple is exactly what I am doing. Both their online help and the 
papers listed in the ideas page have helped me immensely in forming a way 
to implement lie group methods. Will add a draft soon to the wiki page 
discussing exactly how I plan to go ahead. Does the scope of the project 
seem right ?  I am not sure whether I would be able to do any other major 
different topic along with lie groups for this summer. Maybe there are some 
other smaller issues with dsolve that can be synced along with this 
proposal ?
 

On Monday, March 2, 2015 at 12:37:47 AM UTC+5:30, Aaron Meurer wrote:
>
> I don't know enough about Lie Group methods to comment on how they 
> should be implemented, but looking at how Maple does it (and reading 
> the papers referenced in their docs) is definitely a good place to 
> start.  The current ODE module is heavily influenced by Maple (at 
> least the parts I wrote are). 
>
> Aaron Meurer 
>
> On Fri, Feb 27, 2015 at 3:45 PM, Mihir Wadwekar <[email protected] 
> <javascript:>> wrote: 
> > Hi, 
> > 
> > I am Mihir Wadwekar, a 3rd year undergrad pursuing computer science at 
> IIIT 
> > Hyderabad. I have been tinkering with Sympy for some time now and have 
> > committed 4 patches in it.  I do understand how the codebase works and 
> would 
> > like to work upon the ODE module as part of my GSOC 2015 project. 
> > 
> > I am planning to extend the solving of 1st-order differential equations 
> > using lie groups to also include 2nd order differential equations. 
> > 
> > Currently for first-order differential equation, infinitesimals are 
> > generated which fit the linearized symmetry condition. Canonical 
> > co-ordinates are derived from these infinitesimals by solving relatively 
> > simpler PDE's. These coordinates on substitution make the equation a 
> problem 
> > of quadrature. After solving it, the original variables are substituted 
> back 
> > to get the solution. 
> > 
> > Finding a pair of infinitesimals is the most difficult part of it. There 
> is 
> > no easy way to generate them yet and as a result various intelligent 
> guesses 
> > are made and tried out till one fits the symmetry condition and makes 
> the 
> > ODE invariant. Similar procedure can be used for 2nd order differential 
> > equations. However their symmetry condition and the type of guesses for 
> the 
> > infinitesimals is different. Also the infinitesimals here have an 
> additional 
> > variable( dy/dx ). 
> > 
> > The 2nd order part can be built upon the previous structure. There is a 
> > function 'infinitesimals' which generates infinitesimals by calling all 
> > heuristics functions. This function can be changed to recognize the 
> order of 
> > the ODE and call the heuristic functions of that ODE. Some heuristics 
> are 
> > common for both ODE's, but still would require some changes due to the 
> > presence of an additional variable in 2nd order equations. Other new 
> guesses 
> > would be written from scratch. A brief summary of the guesses for 2nd 
> order 
> > is provided here. 
> > 
> > After generating infinitesimals for 2nd order there are multiple ways to 
> > approach the remaining part. Solving through canonical coordinates as 
> done 
> > in 1st order eqautions is one of the way. Since it is already 
> implemented 
> > for 1st order, I plan to go forward with this approach. However 
> canonical 
> > variables may sometimes cause computation failures due to inverse 
> > transformations and hence I also want to implement the method of first 
> > integrals. 
> > 
> > A lot of depth can be added here. More intelligent guesses for 1st and 
> 2nd 
> > order equations can also be implemented. Lie groups is a vast field and 
> > could itself be a proper module. Your views on the complexity would 
> really 
> > help as there is a lot of material to read. 
> > 
> > It would be a great boost for ODE solving module if 2nd order 
> differential 
> > equations can also be solved through lie groups. Using lie groups is a 
> more 
> > generic method and does not require any special classification of ODE. 
> This 
> > can form a base for higher-degree ODE's. 
> > 
> > I do have a vision for implementing this is depth but would like to know 
> > your initial thoughts on this before I go ahead. 
> > 
> > Thanks. 
> > 
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