<symbolic matrix>.simplify_rational() accepts no keywords?

asked 2020-02-15 18:03:18 +0100

grobber
65 ●9

I have a symbolic matrix whose entries I would like to simplify for display. Minimal working example (in the sage REPL):

a,b=var('a,b'); m=matrix(SR,2,[[(a*b-a)/a,0],[0,1]]).simplify_rational()

works fine and upon calling m produces

[b - 1 0] [ 0 1]

as expected. On the other hand, running

a,b=var('a,b'); m=matrix(SR,2,[[(a*b-a)/a,0],[0,1]]).simplify_rational(algorithm='simple')

as per the documentation produces

TypeError Traceback (most recent call last) <ipython-input-30-3edf7642200d> in <module>() ----> 1 a,b=var('a,b'); m=matrix(SR,Integer(2),[[(a*b-a)/a,Integer(0)],[Integer(0),Integer(1)]]).simplify_rational(algorithm='simple')

TypeError: simplify_rational() takes no keyword argument

If I apply the method to a single expression it works fine:

((a*b-a)/a).simplify_rational(algorithm='simple') gives back b-1.

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answered 2020-02-16 12:42:15 +0100

rburing

10919 ●4 ●80 ●218 https://www.rburing.nl/

These are two different methods, with the same name, on different classes (symbolic expressions and symbolic dense matrices respectively). The documentation for the matrix method does not mention keyword arguments, and indeed none are accepted, as you have seen. As an alternative you can apply the symbolic expression method to each entry:

sage: var('a,b')
sage: m=matrix(SR,2,[[(a*b-a)/a,0],[0,1]])
sage: m.apply_map(lambda z: z.simplify_rational(algorithm='simple'))
[b - 1     0]
[    0     1]

It would be nice if the matrix method accepted the same arguments. If you want, someone could open an enhancement ticket on trac.

Comments

Perfect, thank you!

The nomenclature clash confused me.. Indeed, I can confirm

a,b=var('a,b'); m=matrix(SR,2,[[(a*b-a)/a,0],[0,1]]).apply_map(lambda z: z.simplify_rational(algorithm='simple')); m

returns the same output you displayed (i.e. what was expected).

grobber ( 2020-02-16 15:20:48 +0100 )edit

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