On Fri, Mar 1, 2024 at 10:24 AM John Cremona <john.crem...@gmail.com> wrote:

>
>
> On Fri, 1 Mar 2024 at 10:04, Dima Pasechnik <dimp...@gmail.com> wrote:
>
>>
>>
>> On 1 March 2024 09:07:26 GMT, 'Martin R' via sage-devel <
>> sage-devel@googlegroups.com> wrote:
>> >I'd be OK with raising an exception or with -oo, but it should be
>> uniform,
>> >and I think it should be the same for polynomials, Laurent polynomials
>> and
>> >in the same spirit for degree and valuation.
>> >
>> >It might be best to raise an exception, because this ensures that the
>> zero
>> >polynomial gets special treatment.
>>
>> Exceptions are expensive, performance-wise, and using them as a regular
>> means of controlling the flow of the algorithm execution is not a good idea.
>> A simple  if/then/else  is much cheaper.
>>
>
> Isn't this suggestion to have f.degree() raise an exception when f is
> zero, but also then that any code which needs the degree to treat 0 as a
> special case (where that makes sense)?   To it would be the caller's
> responsibility to do that with a test of f.is_zero() or whatever, rather
> than by seeing if an exception is triggered.
>

Letting degree(0) throw an exception means that every place where you want
to test whether the degree of fg satisfies something needs a testing
whether f or g is 0, in order to avoid an exception.

OTOH, setting the degree of 0 to be -oo has an obvious advantage: it
automaticlly gives mathematically correct degree of fg, by using
degree(fg)=degree(f)+degree(g), regardless of f or g being 0. And checking
the degree is (or at least ought to be) faster than comparing for equality
to 0.

Yes, it requires a change of the mental picture somehow. But same applies
for e.g. using projective setting instead of affine one in geometry: you
don't need to throw a mental exception as soon as you get parallel lines :-)

Dima






>
> John
>
>
>>
>> Dima
>> >
>> >Martin
>> >On Thursday 29 February 2024 at 22:54:20 UTC+1 Nils Bruin wrote:
>> >
>> >> On Thursday 29 February 2024 at 11:15:21 UTC-8 Dima Pasechnik wrote:
>> >>
>> >> How about using something like
>> https://github.com/NeilGirdhar/extended_int
>> >> ?
>> >> (Even better, do a PEP to have such a thing in Python proper...)
>> >> In old, totally duck-typed, Python this didn't really matter, but
>> nowadays
>> >> it does make
>> >> a perfect sense.
>> >>
>> >> At the moment, I think most degree functions do their best to return
>> sage
>> >> Integer objects; mainly so that coercion works well with them. So
>> whatever
>> >> solution we use should probably be based on objects that naturally
>> live in
>> >> the sage hierarchy. We do have an infinity object in sage and it
>> already
>> >> gets used for valuations.
>> >>
>> >> Incidentally:
>> >>
>> >>  sage: R.<x>=LaurentSeriesRing(QQ)
>> >> sage: z=R(0)
>> >> sage: z.valuation()
>> >> +Infinity
>> >> sage: z.degree()
>> >> -1
>> >>
>> >> I don't quite know why laurent series have a degree defined at all,
>> but
>> >> they're keeping to the deg(0)=-1 convention.
>> >>
>> >> Incidentally:
>> >>
>> >> sage: A.<x>=QQ[]
>> >> sage: B.<y>=LaurentPolynomialRing(QQ)
>> >> sage: x.valuation(oo)
>> >> -1
>> >> sage: y.valuation(oo)
>> >> 1
>> >> so polynomial rings have a valuation (that will return +oo when
>> >> appropriate), but on LaurentPolynomialRing this gets silently broken:
>> the
>> >> argument simply gets ignored and the valuation at 0 is returned. So I
>> guess
>> >> you can get a well-behaving degree with
>> >>
>> >> f=0*y
>> >> -f(1/y).valuation()
>> >>
>> >
>>
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