How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Locally finite arrangements and relative face terminology
Definition
Let be a finite-dimensional real vector space, let , and choose a linear coordinate isomorphism . On use the Euclidean metric . Give the metric and its metric topology: is open if for each there is such that . For , and are singletons, the sum is empty and the metric is zero; the topology is . This specifies the transported Euclidean topology. A subset is convex if whenever and . Give the subspace topology: its open sets are the intersections of with open subsets of . A neighbourhood of is a subset of containing an open subset of that contains .
An arrangement consists of such a convex and a set of linear hyperplanes , each meeting . A linear hyperplane is a linear subspace of codimension one. The arrangement is locally finite in if every has a neighbourhood meeting only finitely many distinct members of . For a convex , its restriction has hyperplane set .
A chamber is a connected component of , with the subspace topology. For a chamber , write for its closure in : the points whose every open neighbourhood in meets . An affine subspace of is a translate of a linear subspace . Its direction space is , and its affine dimension is . For a nonempty set , its affine hull is the intersection of all affine subspaces containing ; its affine dimension is the affine dimension of . A wall of is a nonempty set of affine dimension , where . No affine dimension is assigned to an empty intersection here. The wall is the intersection, while is its defining arrangement hyperplane; these are different kinds of objects. Two distinct chambers are adjacent if they share a wall. A gallery is a finite sequence of chambers in which consecutive chambers are adjacent; its length is the number of consecutive pairs.
A basis of a vector space is a linearly independent spanning set. An open simplicial cone in a finite-dimensional real vector space is a set for a basis of ; for the empty sum is . For an arrangement with , put , taking when is empty. The quotient vector space consists of cosets with operations and ; its canonical projection is , . The arrangement is simplicial if every chamber is of the form , where form a basis of . Thus the common linear factor is retained in and removed for the simplicial test.
Definition references
Linear subspace of a vector space
Invertible linear maps, linear isomorphisms, and inverse linear maps
A convex subset of ℝᵐ contains every line segment between two of its points
Connected components, quasicomponents, and totally disconnected spaces
Refinements, locally finite families, point-finite families, and star refinements
Affine subspaces as translates x+U of linear subspaces
The quotient vector space V/W and its canonical projection
ℝⁿ as the set of functions n → ℝ, and d₁, d₂, d_∞ are metrics on it
Justification
For , the Euclidean metric supplier establishes that is a metric; transporting its distances along the bijection gives the metric axioms for . For , the zero metric on the singleton satisfies these axioms directly. Thus the metric topology and the coordinate isomorphism specify the topology used in all closure and neighbourhood statements. The subspace topology makes the stated relative neighbourhoods meaningful. Local finiteness applies the usual neighbourhood condition to the hyperplanes indexed by the distinct members of ; it does not identify different hyperplanes merely because their traces on coincide. Connected components supply the chambers. The direction space of an affine subspace is independent of its chosen point: if , then . For a nonempty , fix ; every affine subspace containing is , so their intersection is , an affine subspace containing and contained in every such subspace. This proves that the stated affine hull is the smallest one. Its direction space is a subspace of the finite-dimensional , so the finite-dimensional dimension applies. The wall definition selects a nonempty set by its specified intersection and affine dimension, so it makes no assertion that every arrangement hyperplane supports a wall. The gallery condition is a finite condition on already defined chambers and walls. Finally, is a linear subspace, since intersections preserve zero, addition and scalar multiplication. Hence the quotient construction applies, and the displayed criterion specifies simpliciality using the canonical images in .
For the empty arrangement with , the complement is . If , ℝⁿ is polygonally connected, connected, locally path-connected and locally connected gives connectedness of with its Euclidean topology. For each and , the bijection takes exactly onto . The ball criterion for openness therefore sends every open subset of to an open subset of . A separation of into two disjoint nonempty open sets would be carried by to such a separation of , contradicting connectedness (Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets). If , is a singleton and cannot be partitioned into two nonempty sets, so it is connected as well. Thus in every dimension is connected, and it is the sole chamber by the connected-component definition: the union of all connected subsets containing any given point already includes itself (Connected components, quasicomponents, and totally disconnected spaces). Here , is the zero space with empty basis, and , so this chamber satisfies the stated simpliciality criterion.
Depends on
- Linear hyperplane
- A convex subset of ℝᵐ contains every line segment between two of its points
- Topology on a set, open and closed sets, clopen sets, the closed-set axiomatisation, and the coarser/finer comparison
- Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace
- Connected components, quasicomponents, and totally disconnected spaces
- Refinements, locally finite families, point-finite families, and star refinements
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- Affine subspaces as translates x+U of linear subspaces
- Finite-dimensional vector space, and its dimension dim_F V; infinite-dimensional means having no finite basis
- The quotient vector space V/W and its canonical projection
- ℝⁿ as the set of functions n → ℝ, and d₁, d₂, d_∞ are metrics on it
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- Metric space: d(x,y) = 0 iff x = y, symmetry, and the triangle inequality; pseudometric and ultrametric
- If dim_F V = n and U is a linear subspace of V, then U is finite-dimensional, dim_F U ≤ n, and dim_F U = n if and only if U = V
- ℝⁿ is polygonally connected, connected, locally path-connected and locally connected
- Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets
- Vector space over a field
- Linear subspace of a vector space
- Invertible linear maps, linear isomorphisms, and inverse linear maps
Used by · 15
- Sign cells and local finite-arrangement reductions
- Finite galleries and separating hyperplanes
- Independent finite local wall-crossing formula
- Complexified complements in an open convex cone
- Linear hyperplane arrangements and local finiteness
- Chambers, walls and adjacency
- Reflecting hyperplanes, fundamental chamber and Tits cone
- Separation by a hyperplane
- Interior restriction preserves chambers and adjacency
- Chamber open sets used for the topological equivalence
- The full-cone and interior arrangements have identical chambers
- Sign facets of a cone arrangement
- Positive gallery category, cancellation and length
- Bounded prefix ideals and rank-two closure
- The hyperplanes are in bijection with Coxeter reflections
Dependency tree · 2 levels
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