Frechet derivatives of analytic functions. #
A function expressible as a power series at a point has a Frechet derivative there.
Also the special case in terms of deriv
when the domain is 1-dimensional.
As an application, we show that continuous multilinear maps are smooth. We also compute their
iterated derivatives, in ContinuousMultilinearMap.iteratedFDeriv_eq
.
If a function has a power series on a ball, then so does its derivative.
If a function is analytic on a set s
, so is its FrΓ©chet derivative.
If a function is analytic on a set s
, so are its successive FrΓ©chet derivative.
An analytic function is infinitely differentiable.
If a function is analytic on a set s
, so is its derivative.
If a function is analytic on a set s
, so are its successive derivatives.
The case of continuously polynomial functions. We get the same differentiability
results as for analytic functions, but without the assumptions that F
is complete.
If a function has a finite power series on a ball, then so does its derivative.
If a function has a finite power series on a ball, then so does its derivative.
This is a variant of HasFiniteFPowerSeriesOnBall.fderiv
where the degree of f
is < n
and not < n + 1
.
If a function is polynomial on a set s
, so is its FrΓ©chet derivative.
If a function is polynomial on a set s
, so are its successive FrΓ©chet derivative.
A polynomial function is infinitely differentiable.
If a function is polynomial on a set s
, so is its derivative.
If a function is polynomial on a set s
, so are its successive derivatives.
A continuous multilinear function f
admits a Taylor series, whose successive terms are given
by f.iteratedFDeriv n
. This is the point of the definition of f.iteratedFDeriv
.