Properties of continuously polynomial functions #
We expand the API around continuously polynomial functions. Notably, we show that this class is stable under the usual operations (addition, subtraction, negation).
We also prove that continuous multilinear maps are continuously polynomial, and so are continuous linear maps into continuous multilinear maps. In particular, such maps are analytic.
Eta-expanded form of CPolynomialAt.add
Eta-expanded form of CPolynomialAt.neg
Eta-expanded form of CPolynomialAt.sub
Eta-expanded form of CPolynomialOn.add
Eta-expanded form of CPolynomialOn.sub
Eta-expanded form of CPolynomialAt.smul
Eta-expanded form of CPolynomialOn.smul
Continuous multilinear maps #
We show that continuous multilinear maps are continuously polynomial, and therefore analytic.
Precomposition on spaces of n-alternating maps, as a continuous linear map, is continuously
polynomial when multiplied by (card ι)!.
Precomposition on spaces of n-alternating maps, as a continuous linear map, is continuously
polynomial.
Precomposition on spaces of n-alternating maps, as a continuous linear map, is cpolynomial.
Continuous linear maps into continuous multilinear maps #
We show that a continuous linear map into continuous multilinear maps is continuously polynomial (as a function of two variables, i.e., uncurried). Therefore, it is also analytic.
Formal multilinear series associated to a linear map into multilinear maps.
Equations
- f.toFormalMultilinearSeriesOfMultilinear n = if h : Fintype.card (Option ι) = n then ContinuousMultilinearMap.domDomCongr (Fintype.equivFinOfCardEq h) f.continuousMultilinearMapOption else 0
Instances For
Alias of ContinuousMultilinearMap.cpolynomialOn_uncurry_of_linear.