Defining a graded vector space

asked 2023-07-01 03:29:04 +0100

adi
41 ●6

updated 2023-07-05 00:42:04 +0100

Hello all. I'm trying to define a (finite) graded vector space using SAGE. I've managed to set up a class which takes names and degrees as input parameters.

Example: My idea is that if we have names (x,y,z) with degrees (1,1,2), then this is supposed to be Q^2 + Q (taking the base ring to be Q). I am going to be building everything on the category of combinatorial free modules.

I have been struggling to define a method in the element class which is supposed to return the degree of a given expression by taking the maximum of the degrees of all the monomials. I have defined a dictionary (in the parent __init__ definition) which puts the name as key and degree as value. But how can I extract that information from any given arbitrary expression (say, B['x'] + B['y'])?

Example of successful code: (y+z).degree()

sage: 2

Thanks in advance!

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Try imitating what is done in the Sage source code, in particular in https://github.com/sagemath/sage/blob....

John Palmieri ( 2023-07-02 22:23:07 +0100 )edit

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class Element(GradedLieAlgebra.Element): def degree(self): l = [m for m in self] monomials = [x[0] for x in l] dictionary = self.parent().name_degree_map degrees=self.parent()._degrees values = [dictionary[key] for key in monomials if key in dictionary] return max(values)

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GradedLieAlgebra is just the name of the parent class.

adi ( 2023-07-04 23:55:11 +0100 )edit

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