00M4 Proposition 5.6. Assume that ϕ\phi is a Fubini-Study metric. The conclusion of Proposition 5.3 holds without the assumption of ℚ\mathbb{Q}-independence of {α(∥Ti∥1)}i∈{0,…,d}\{\alpha(\lVert T_{i}\rVert_{1})\}_{i\in\{0,\dots,d\}}.
00M5 Proof. Since |⋅|k\lvert\mathord{\cdot}\rvert_{k} is discrete, for any ϵ>0\epsilon>0, there exists 𝜹\boldsymbol{\delta} with |𝜹|≤ϵ|\boldsymbol{\delta}|\leq\epsilon such that the elements {α(∥Ti∥ϕ(𝜹))}i∈{0,…,d}\{\alpha(\lVert T_{i}\rVert_{\phi(\boldsymbol{\delta})})\}_{i\in\{0,\dots,d\}} are ℚ\mathbb{Q}-independent in ℝ/H(k,|⋅|)\mathbb{R}/H(k,\lvert\mathord{\cdot}\rvert). By Proposition 5.5, for any n∈ℕn\in\mathbb{N} and any sn=∑|J|=nfJ⋅𝑻J∈Vn(𝒪(1))s_{n}=\sum_{\lvert J\rvert=n}f_{J}\cdot\boldsymbol{T}^{J}\in V_{n}(\mathscr{O}(1)), e−nϵ∥∑|J|=nfJ⋅𝑻J∥nϕ(𝜹)≤∥∑|J|=nfJ⋅𝑻J∥nϕ≤enϵ∥∑|J|=nfJ⋅𝑻J∥nϕ(𝜹).\mathrm{e}^{-n\epsilon}\Big\lVert\sum_{\lvert J\rvert=n}f_{J}\cdot\boldsymbol{T}^{J}\Big\rVert_{n\phi(\boldsymbol{\delta})}\leq\Big\lVert\sum_{\lvert J\rvert=n}f_{J}\cdot\boldsymbol{T}^{J}\Big\rVert_{n\phi}\leq\mathrm{e}^{n\epsilon}\Big\lVert\sum_{\lvert J\rvert=n}f_{J}\cdot\boldsymbol{T}^{J}\Big\rVert_{n\phi(\boldsymbol{\delta})}. By Proposition 5.3, one has max|J|=n{e−nϵ|fJ|∏i∈{0,…,d}(eδiri)ji}≤∥∑|J|=nfJ⋅𝑻J∥nϕ≤max|J|=n{enϵ|fJ|∏i∈{0,…,d}(eδiri)ji}.\max_{\lvert J\rvert=n}\Big\{\mathrm{e}^{-n\epsilon}\lvert f_{J}\rvert\prod_{i\in\{0,\dots,d\}}(\mathrm{e}^{\delta_{i}}r_{i})^{j_{i}}\Big\}\leq\Big\lVert\sum_{\lvert J\rvert=n}f_{J}\cdot\boldsymbol{T}^{J}\Big\rVert_{n\phi}\leq\max_{\lvert J\rvert=n}\Big\{\mathrm{e}^{n\epsilon}\lvert f_{J}\rvert\prod_{i\in\{0,\dots,d\}}(\mathrm{e}^{\delta_{i}}r_{i})^{j_{i}}\Big\}. Fix nn and let ϵ→0\epsilon\to 0, one gets ∥∑|J|=nfJ⋅𝑻J∥nϕ=max|J|=n{|fJ|∏i∈{0,…,d}riji}.\Big\lVert\sum_{\lvert J\rvert=n}f_{J}\cdot\boldsymbol{T}^{J}\Big\rVert_{n\phi}=\max_{\lvert J\rvert=n}\Big\{\lvert f_{J}\rvert\prod_{i\in\{0,\dots,d\}}r_{i}^{j_{i}}\Big\}. So one has ⦀∑|J|<∞fJ⋅𝑻J⦀nϕ=supn∈ℕmax|J|=n{|fJ|∏i∈{0,…,d}riji}=max|J|<∞{|fJ|∏i∈{0,…,d}riji}.\Big\vvvert\sum_{\lvert J\rvert<\infty}f_{J}\cdot\boldsymbol{T}^{J}\Big\vvvert_{n\phi}=\sup_{n\in\mathbb{N}}\max_{\lvert J\rvert=n}\Big\{\lvert f_{J}\rvert\prod_{i\in\{0,\dots,d\}}r_{i}^{j_{i}}\Big\}=\max_{\lvert J\rvert<\infty}\Big\{\lvert f_{J}\rvert\prod_{i\in\{0,\dots,d\}}r_{i}^{j_{i}}\Big\}. Hence ⦀⋅⦀ϕ\vvvert\mathord{\cdot}\vvvert_{\phi} is a Gauss norm of multi-radius 𝒓\boldsymbol{r} on V∙(𝒪(1))V_{{\scriptscriptstyle\bullet}}(\mathscr{O}(1)). ∎