PhyslibAlpha.AlgebraicFramework.Dynamics.GeneratorIsDerivation
The generator of a one-parameter automorphism group is a derivation
i. Overview
**The bridge theorem.** Given a continuous (bounded) bilinear multiplication on a normed space `E`, and a one-parameter family `α : ℝ → E → E` that (a) fixes `0` at `t = 0` in the sense `α 0 = id`, and (b) preserves the product at every time (`α t (a * b) = α t a * α t b`), the generator of `α` — purely analytically defined, `Dynamics/Generator.lean` — automatically satisfies the Leibniz rule, hence is a derivation in the purely algebraic sense of `Algebra/Derivation.lean`:
This is deliberately proved at the most general level where the argument is legitimate: no order, no Jordan identity, no star structure, not even associativity or commutativity of `*` — only that `*` is `ℝ`-bilinear and *bounded* (`IsBoundedBilinearMap`), which is exactly what lets one differentiate `t ↦ α t a * α t b` via the product rule for bilinear maps (`IsBoundedBilinearMap.hasFDerivAt`) and read off the Leibniz rule from `α`'s multiplicativity. In particular `IsCommJordan` never appears in this file: it is one instance of the hypothesis `hmul`/`IsBoundedBilinearMap`, reached only by later composing this theorem with a JB-algebra's submultiplicativity axiom (`‖a ∘ b‖ ≤ ‖a‖‖b‖`, `JB/Basic.lean`) — see the module docstring's closing remark for exactly how that composition goes, deliberately *not* performed in this file.
ii. Key definitions and results
- `IsGenerator.isDerivation_of_isAutomorphismFamily`
iii. Table of contents
- A. The bridge theorem
A. The bridge theorem
1 declaration
The generator of a one-parameter automorphism family is a derivation
Let be a normed real vector space equipped with a multiplication operation that is a bounded -bilinear map. Let be a one-parameter family of maps such that: 1. is the identity map, i.e., for all . 2. For every , preserves the multiplication, i.e., for all . If is a linear map that is the generator of (meaning for all ), then is a derivation. That is, satisfies the Leibniz rule: for all .
