Iterated derivatives of a composition with a linear map #
Precomposing a function with a continuous linear map g multiplies the norm of its i-th
iterated derivative by at most āgā ^ i. This is the norm form of Mathlib's
ContinuousLinearMap.iteratedFDeriv_comp_right; for a linear isometry equivalence the norm is
preserved (LinearIsometryEquiv.norm_iteratedFDeriv_comp_right). Since the projections of a
product have norm at most one, reading a function on one factor of a product does not increase the
norms of its iterated derivatives (TauCeti.norm_iteratedFDeriv_comp_fst_le,
TauCeti.norm_iteratedFDeriv_comp_snd_le).
For a function of one variable, postcomposition with a continuous linear map commutes with the
iterated derivative iteratedDeriv. This is the one-variable form of Mathlib's
ContinuousLinearMap.iteratedFDeriv_comp_left, used for instance to test identities between
iterated derivatives of vector-valued functions against continuous linear functionals.
A continuous linear map itself has vanishing iterated derivatives of every order at least two
(ContinuousLinearMap.iteratedFDeriv_add_two), and its iterated derivatives of positive order have
norm at most its own norm (ContinuousLinearMap.norm_iteratedFDeriv_le_norm). In particular the
projections of a product have iterated derivatives of positive order of norm at most one
(TauCeti.norm_iteratedFDeriv_fst_le_one, TauCeti.norm_iteratedFDeriv_snd_le_one).
Precomposition with a continuous linear map g multiplies the norm of the i-th iterated
derivative by at most āgā ^ i.
Postcomposition with a continuous linear map g commutes with the i-th iterated derivative
of a function of one variable that is C^i at the point.
A continuous linear map has vanishing iterated derivatives of every order at least two.
A continuous linear map g has iterated derivatives of every positive order of norm at most
āgā.
Reading a function on the first factor of a product does not increase the norms of its iterated derivatives.
Reading a function on the second factor of a product does not increase the norms of its iterated derivatives.
The first projection of a product has iterated derivatives of every positive order of norm at most one.
The second projection of a product has iterated derivatives of every positive order of norm at most one.