Differentiability of specific functions #
In this file, we establish differentiability results for
- continuous linear maps and continuous linear equivalences
- the identity
- constant functions
- products
- arithmetic operations (such as addition and scalar multiplication).
Differentiability of specific functions #
Identity #
Constants #
Operations on the product of two manifolds #
The product map of two C^n
functions within a set at a point is C^n
within the product set at the product point.
Variant of MDifferentiableAt.prod_map
in which the point in the product is given as p
instead of a pair (x, y)
.
The total derivative of a function in two variables is the sum of the partial derivatives.
Note that to state this (without casts) we need to be able to see through the definition of
TangentSpace
.
The total derivative of a function in two variables is the sum of the partial derivatives.
Note that to state this (without casts) we need to be able to see through the definition of
TangentSpace
. Version in terms of the one-variable derivatives.
The total derivative of a function in two variables is the sum of the partial derivatives.
Note that to state this (without casts) we need to be able to see through the definition of
TangentSpace
. Version in terms of the one-variable derivatives.
Arithmetic #
Note that in the HasMFDerivAt
lemmas there is an abuse of the defeq between E'
and
TangentSpace 𝓘(𝕜, E') (f z)
(similarly for g',F',p',q'
). In general this defeq is not
canonical, but in this case (the tangent space of a vector space) it is canonical.