LeanAide GPT-4 documentation

Module: Mathlib.Analysis.NormedSpace.Extend


ContinuousLinearMap.norm_extendToπ•œ'_bound

theorem ContinuousLinearMap.norm_extendToπ•œ'_bound : βˆ€ {π•œ : Type u_1} [inst : RCLike π•œ] {F : Type u_2} [inst_1 : SeminormedAddCommGroup F] [inst_2 : NormedSpace π•œ F] [inst_3 : NormedSpace ℝ F] [inst_4 : IsScalarTower ℝ π•œ F] (fr : F β†’L[ℝ] ℝ) (x : F), β€–fr.extendToπ•œ' xβ€– ≀ β€–frβ€– * β€–xβ€–

This theorem states that for a given continuous linear map `fr` from a seminormed add commutative group `F`, which is also a normed space over ℝ and π•œ, with ℝ being a scalar tower over π•œ and `F`, and a given element `x` in `F`, the norm of the extension of `fr` to π•œ denoted by `fr.extendToπ•œ' x` is bounded above by the product of the norm of `fr` and the norm of `x`. In mathematical terms, it's expressed as β€–fr.extendToπ•œ' xβ€– ≀ β€–frβ€– * β€–xβ€–.

More concisely: For a continuous linear map `fr` from a seminormed add commutative group `F` into ℝ, and an element `x` in `F`, the norm of the extension of `fr` to `ℝ[X]` (denoted `fr.extendToπ•œ' x`) is bounded above by the product of the norm of `fr` and the norm of `x`. In other words, β€–`fr.extendToπ•œ' x`β€– ≀ β€–`fr`β€– * β€–`x`β€–.