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A map from hexagon triangulations to size-four binary trees that is not injective
Statement refuted
Equal Catalan counts do not make a natural-looking rule injective. Define
by sending a triangulation of the labelled hexagon to the canonical comb tree determined only by its closing-side split index :
- if , take the tree whose left subtree has size and right subtree has size ;
- if , take the tree whose subtrees have sizes and ;
- if , take the tree whose subtrees have sizes and ;
- if , take the tree whose left subtree has size and right subtree has size ;
and in every case fill each nonzero subtree by the right comb of the required size.
Facts & Assumptions
Given: the two triangulations
Every triangulation of the hexagon has a unique closing-side split index (For and a triangulation of the -gon there is a unique with such that and are both chords of or sides, and splits along ).
A function is injective when equal outputs force equal inputs (Injection, surjection, bijection).
Counterexample
Both and are triangulations of the labelled hexagon, and both have the same closing-side split index : the side is present in each, and no index smaller than is available.
By the definition of , both triangulations therefore map to the same canonical size-four comb tree, namely the tree with empty left subtree and right comb of size . So .
The input triangulations are distinct because but . Hence equal outputs do not force equal inputs, so [L2] shows that is not injective.
Remarks
- The failure is deliberate: the rule remembers only the top split and then replaces the two sides by canonical combs, so it discards most of the triangulation.
Depends on
- Chords of a labelled convex polygon, crossing, and triangulations, defined combinatorially
- For $m\ge3$ and a triangulation $T$ of the $m$-gon there is a unique $k$ with $1<k<m$ such that $\{1,k\}$ and $\{k,m\}$ are both chords of $T$ or sides, and $T$ splits along $k$
- Binary trees, defined recursively, and their size
- Injection, surjection, bijection
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
13 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- D. Guichard, An Introduction to Combinatorics and Graph Theory, §3.5 (standard reference, not scraped)