1 | initial version |
The method simplify()
sends things to Maxima and back. This is useful with assumptions.
sage: var('n')
n
sage: assume(n,'integer')
sage: sin(n*pi)
sin(pi*n)
sage: sin(n*pi).simplify()
0
As for the error, I've sent an email to the Maxima list about this. There may be something I'm missing, though.
2 | No.2 Revision |
The method simplify()
sends things to Maxima and back. This is useful with assumptions.
sage: var('n')
n
sage: assume(n,'integer')
sage: sin(n*pi)
sin(pi*n)
sage: sin(n*pi).simplify()
0
As for the error, I've sent an email to the Maxima list about this. There may be something I'm missing, though.The thread starts here. Essentially, Maxima's radcan()
picks a branch and sticks with it, rather than treating sqrt()
as a function per se.
3 | No.3 Revision |
The method simplify()
sends things to Maxima and back. This is useful with assumptions.
sage: var('n')
n
sage: assume(n,'integer')
sage: sin(n*pi)
sin(pi*n)
sage: sin(n*pi).simplify()
0
As for the error, I've sent an email to the Maxima list about this. The thread starts here. Essentially, Maxima's radcan()
picks a branch and sticks with it, rather than treating sqrt()
as a function per se.se. But Fateman's answer above gives you what you need to know (even if the news is not so good).
4 | No.4 Revision |
The method simplify()
sends things to Maxima and back. This is useful with assumptions.
sage: var('n')
n
sage: assume(n,'integer')
sage: sin(n*pi)
sin(pi*n)
sage: sin(n*pi).simplify()
0
As for your comment, you have to "forget" assumptions about a variable to use other ones. One also has to tell Maxima that the domain is "real", not complex, for the x<0
assumption to take effect. This is somewhat troublesome, but doable.
sage: assume(x<0)
sage: maxima_calculus.eval('domain:real')
'real'
sage: sqrt(x^2).simplify()
-x
As for the error, I've sent an email to the Maxima list about this. The thread starts here. Essentially, Maxima's radcan()
picks a branch and sticks with it, rather than treating sqrt()
as a function per se. But Fateman's answer above gives you what you need to know (even if the news is not so good).