Does anyone know why the conjugates appear sometimes during evalf'ing?
>>> d=(.3+.2*sin(x))
>>> for di in d.args:
... print di.n(), (1/di).n()
...
0.300000000000000 3.33333333333333
0.2*sin(x) 5.0/sin(x)
>>> d.n()
0.2*sin(x) + 0.3
So far so good. but now:
>>> (1/d).n()
0.2*sin(conjugate(x))/(0.04*sin(x)*sin(conjugate(x)) + 0.06*sin(x)
+ 0.06*sin(co
njugate(x)) + 0.09) + 0.3/(0.04*sin(x)*sin(conjugate(x)) +
0.06*sin(x) + 0.06*si
n(conjugate(x)) + 0.09)
and it doesn't have to do with Floats:
>>> d=(1+2*sin(x))
>>> (1/d).n()
2.0*sin(conjugate(x))/(4.0*sin(x)*sin(conjugate(x)) + 2.0*sin(x) +
2.0*sin(conju
gate(x)) + 1) + 1/(4.0*sin(x)*sin(conjugate(x)) + 2.0*sin(x) +
2.0*sin(conjugate
(x)) + 1)
If x is made real then this doesn't happen:
>>> var('x',real=True)
x
>>> d=(1+2*sin(x))
>>> (1/d).n()
1/(2.0*sin(x) + 1)
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