1 | initial version |
Ignoring parts with total degree greater than $d$ suggest that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = Q.gens()
2 | No.2 Revision |
Ignoring parts with total degree greater than $d$ suggest suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = Q.gens()
3 | No.3 Revision |
Ignoring parts with total degree greater than $d$ suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = Q.gens()
[g.add_bigoh(d) for g in Q.gens()]
4 | No.4 Revision |
Ignoring parts with total degree greater than $d$ $\geq d$ suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = [g.add_bigoh(d) for g in Q.gens()]
5 | No.5 Revision |
Ignoring parts with total degree $\geq d$ suggests that power series with precision $d$ are more suitable in this setting:
Q = PowerSeriesRing(QQ, n, 'x', default_prec=d)
x = [g.add_bigoh(d) for g in Q.gens()]
f = x[0]^4
print( f.add_bigoh(3).polynomial() )
6 | No.6 Revision |
Ignoring parts with total degree $\geq d$ suggests that power series with precision $d$ are more suitable in this setting:
d = 3
Q = PowerSeriesRing(QQ, n, 3, 'x', default_prec=d)
x = [g.add_bigoh(d) for g in Q.gens()]
f = x[0]^4
print( f.add_bigoh(3).polynomial() f.add_bigoh(d).polynomial() )