Semilinear composition of derivatives within sets #
Composing on both sides by continuous semilinear maps with inverse scalar homomorphisms transports a Fréchet derivative, even at boundary points of a set. This includes conjugating both the argument and value of a complex differentiable function.
HasFDerivWithinAt.comp_semilinear extends Mathlib's HasFDerivAt.comp_semilinear to
arbitrary source and target sets. The local comp_semilinear_of_tendsto form only requires
that R approaches the target set near the point under consideration. The corresponding
DifferentiableWithinAt lemmas transport differentiability without specifying a derivative.
If L and R are continuous semilinear maps with inverse scalar homomorphisms, and R
tends to R x within t as its argument tends to x within s, then a derivative of f
within t at R x transports to a derivative of L ∘ f ∘ R within s at x. The two
semilinear twists cancel in the resulting derivative.
If L and R are continuous semilinear maps with inverse scalar homomorphisms, and R
maps s into t, then a derivative of f within t at R x transports to a derivative of
L ∘ f ∘ R within s at x.
Composing on both sides by continuous semilinear maps with inverse scalar homomorphisms preserves differentiability within sets, provided the inner map tends to the target point within the target set.
Composing on both sides by continuous semilinear maps with inverse scalar homomorphisms preserves differentiability within sets when the inner map carries the source set into the target set.