Waldek,
Perhaps you recall the attached email from a few years ago where you
discussed multivariate Taylor series? Recently I wanted to do
something in FriCAS similar to what is done easily in Maple, such as:
mtaylor(sinh(x)*cosh(y),[x,y])
x + 1/2 x y^2 + 1/6 x^3 + 1/24 x y^4 + ...
If I try this in FriCAS
x:=taylor 'x
y:=taylor 'y
sinh(x)*cosh(y)
what I get is not a multivariate Taylor series. But if I do this, for example
sinh(x*y)
then the result does look like a multivariate series but the type is
UnivariateTaylorSeries(UnivariateTaylorSeries(Expression(Integer),x,0), y,0)
so this is not quite what I expected either.
Am I missing something important about how to do this or is there
really something missing in the way FriCAS does this?
Bill.
On 21 October 2010 12:45, Waldek Hebisch <[email protected]> wrote:
> As I wrote in another mail we now have several new special
> functions and it is time to add series expansions for them.
> This uncovered some undesirable aspects of our current power
> series domains. Namely, expansion of a function 'phi' in power
> series is done by having appropriate 'phi' function in power
> seres domains and applying it to expansions of arguments.
> Currently each power series domain has its own implementation
> of functions like 'exp', 'sin', etc. Most of those implementations
> are trival: they retact arguments into Taylor series domain
> (if possible) and applay apriopriate version for Taylor series
> (which in turn uses functions on streams). This leads to
> significant amount of boilerplate code.
>
> I am thinking about alternative way: having a 'compose'
> function in each domain which applies Taylor series to
> arguments from the domain and gives back result in the
> domain. And then for each function expander giving
> series Taylor series in regular points (or error).
>
> That way we need single expander for regular point and
> possibly a few overrides to get Laurent/Puiseux (or
> maybe also multiseries) in singularities.
>
> Another thing that currently we have no support for multivariate
> expansions. And we have way to do naive expansion (by computing
> successive derivatives). I think we need a way to compute
> infinite sums of power series. Probably something like
> 'addiag' in 'StreamTaylorSeriesOperations' but which takes
> stream of pairs (order_bound, series) where order_bound is
> lower bound on order of the series. To make sum computable
> we need to assume that order_bound is non-decreasing, but
> this should hold in practical cases. Such infinite sum
> is enough to define composition. It is also enough to
> do naive expander (in multivariate case making sure that
> orderes are non-decreasing requires some effort, but should
> be doable).
>
> ATM I do not know how to make sure that in multivariate case
> our series are as lazy as possible. Current TaylorSeries
> domain effectively assigns to each variable the same weight,
> which is suboptimal when computing something like f(x, x^2).
> One possibility is to generate exponents like for TaylorSeries,
> but then sort then with respect to order (which means that
> other computations will be ommited when consumer get terms
> of desired order).
>
>
> --
> Waldek Hebisch
> [email protected]
>
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