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Separation by a hyperplane

PDF p. 8: paragraph before Lemma 3.5

Definition

Use the finite-rank Coxeter realization, dual space Θ with its Euclidean topology, and full Tits cone Cone⊆Θ of Reflecting hyperplanes, fundamental chamber and Tits cone. Let H⊆Θ be a linear hyperplane, and choose a nonzero linear functional a:Θ→R with H=ker⁡a. Its two open half-spaces are {x∈Θ:a(x)>0} and {x∈Θ:a(x)<0}.

For f,g∈Cone, say that H separates f and g if a(f) and a(g) have opposite strict signs. Equivalently, f and g belong to different connected components of Cone∖H, equipped with the subspace topology. In particular, a point of H is not separated from any point by H.

Facts & Assumptions

[F1]

The finite-rank realization gives a linear coordinate isomorphism c:Θ→Rn, where n=dim⁡RΘ, and the transported metric is dΘ(x,y)=∥c(x)−c(y)∥2. Openness means that every point contains a metric ball lying in the set; subspaces carry the relative topology. A linear hyperplane has codimension one. Reflecting hyperplanes, fundamental chamber and Tits cone Locally finite arrangements and relative face terminology

[F2]
[F3]

A linear functional is a scalar-valued linear map, with no continuity assumed in the algebraic-dual definition. Linear functionals and the algebraic dual V^*=L(V,F)

[F4]

A connected space has no partition into two disjoint nonempty open subsets. Connected subsets carry the subspace topology. The component of a point is the union of all connected subsets containing that point and is the largest such connected subset. Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets Connected components, quasicomponents, and totally disconnected spaces

[F6]

Every real linear map L:Rm→Rk has a constant K0≥0 such that ∥Lh∥2≤K0∥h∥2 for all h. Every Euclidean linear map has a unique matrix and satisfies ‖Lh‖₂≤ K‖h‖₂ for some K≥0

Justification

Given: The finite-rank realization, full Tits cone and linear hyperplane H in the Definition, with the coordinate map and metric in [F1]. The existence of H implies n≥1.

1.1 Choose u∉H. Since H has codimension one, every x∈Θ has a unique expression x=h+tu with h∈H and t∈R. Set a(h+tu)=t; this is a nonzero linear functional with kernel H. If b is another nonzero linear functional with kernel H, then b(u)≠0 and b(h+tu)=tb(u)=b(u)a(h+tu). Thus b=b(u)a, so the opposite-strict-sign condition is independent of the chosen defining functional. [F1, F3, algebra, choose]

2.1 Apply [F6] to the linear map a∘c−1:Rn→R and choose K=K0+1>0. By linearity, ∣a(y)−a(x)∣≤KdΘ(x,y). If a(x)≠0 and dΘ(x,y)<∣a(x)∣/(2K), then ∣a(y)−a(x)∣<∣a(x)∣/2, so a(y) has the same strict sign as a(x). Hence each strict-sign half-space contains an open ball about each of its points and is open by [F1]. [F1, F3, F6, step 1.1, algebra]

2.2 Put P={x∈Cone:a(x)>0} and N={x∈Cone:a(x)<0}. Convexity in [F2] and the identity a((1−t)x+ty)=(1−t)a(x)+ta(y) show that both P and N are convex. The linear map c therefore sends each to a convex subset of Rn, connected by [F5] in its Euclidean subspace topology. The coordinate map transports the subspace topology by [F1]: a partition of P or N into two relatively open nonempty pieces would give such a partition of its coordinate image, contradicting connectedness. Thus every nonempty one of P,N is connected. [F1, F2, F3, F4, F5, step 1.1]

3.1 The sets P,N are disjoint, cover Cone∖H, and are relatively open there by step 2.1. A connected subset of Cone∖H cannot meet both, since their traces would be a separation in the sense of [F4]. For a point in P, every connected subset containing it is therefore contained in P, while P itself is connected by step 2.2. The component formula in [F4] consequently gives exactly P as its component; the same argument applies to N. The nonempty sign intersections are precisely the connected components. This proves the stated equivalence, including at boundary points of the full Tits cone. Points of H are excluded from the complement and never have opposite strict signs. [F1, F4, step 2.1, step 2.2] ∎

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