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Local Rules for Planar Computable Tilings

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Texte intégral

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Thomas Fernique & Mathieu Sablik

Bastia, September 20th, 2012

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The Problem The Tool The Proof

1 The Problem

2 The Tool

3 The Proof

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1 The Problem

2 The Tool

3 The Proof

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The Problem The Tool The Proof

Canonical n → d tilings

n pairwise non-colinear vectors ofRd dn

tiles tiling ofRd.

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Canonical n → d tilings

Lift: homeomorphism which maps tiles on d-faces of unit n-cubes.

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The Problem The Tool The Proof

Planarity

Planar: lift inE+ [0,t]n, whereE is the slope andt the thickness.

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Planarity

Perfect: planar with the minimal thicknesst= 1.

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The Problem The Tool The Proof

Local rules

Definition

A slopeE admits local rulesif there is a finite set of patterns s.t.

any canonical tiling without these patterns is planar with slopeE.

Local rules are said to be

strongif the tilings satisfying them are perfect;

natural if the perfect tilings satisfy them;

weak otherwise (the thickness is thus just bounded).

Local rules can also bedecorated, with a tile playing different roles.

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The Computability barrier

Computable number: within precisionεby a Turing machine.

Proposition

If a slope admits local rules (of any type), then it is computable.

Proof sketch:

lett be the thickness (assumed to be known if rules are weak);

let εbe the wanted precision;

form a pattern covering a ball of radius r ≥t/ε;

taked free vectors of length r in this pattern;

they span a space at distance less than t/r from the slope.

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The Problem The Tool The Proof

1 The Problem

2 The Tool

3 The Proof

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Subshifts

Definition

A nD subshift over an alphabetAis a translation invariant closed subset ofAZn, whered(u,v) = 2−supk≥0u|[−k,k]n=v|[−k,k]n.

A subshift is said to be

effective if its forbidden patterns are recursively enumerables;

of finite typeif defined by finitely manyforbidden patterns;

sofic if it is a letter-to-letter image of a subshift of finite type.

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The Problem The Tool The Proof

Projective subaction

Theorem (Aubrun-Sablik’10, Durand-Romashchenko-Shen’10) If X⊂ AZ is effective, then{y∈ AZ2, ∀j, yj =y0∈X} is sofic.

Proof sketch:

Take the Robinson tiles;

Add a layer which allows to vertically repeat any line in AZ; Enumerate the forbidden patterns in the Robinson boards;

Check that no forbidden pattern appears on the repeated line.

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1 The Problem

2 The Tool

3 The Proof

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The Problem The Tool The Proof

Quasi-Sturmian words

Sturmian wordsρ,α ∈ {0,1}Z of slopeα∈[0,1] and interceptρ:

sρ,α(n) = 0 ⇔ (ρ+nα) mod 1∈[0,1−α).

Distance over words in{0,1}Z: d(u,v) := sup

p≤q

||u(p)· · ·u(q)|0− |v(p)· · ·v(q)|0|.

Proposition (Morse-Hedlund, 1940)

Two Sturmian words with the same slope are at distance at most1.

Definition

Quasi-Sturmian word: at distance at most 1 from a Sturmian word.

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Quasi-Sturmian words

Sturmian wordsρ,α ∈ {0,1}Z of slopeα∈[0,1] and interceptρ:

sρ,α(n) = 0 ⇔ (ρ+nα) mod 1∈[0,1−α).

Distance over words in{0,1}Z: d(u,v) := sup

p≤q

||u(p)· · ·u(q)|0− |v(p)· · ·v(q)|0|.

Proposition (Morse-Hedlund, 1940)

Two Sturmian words with the same slope are at distance at most1.

Definition

Quasi-Sturmian word: at distance at most 1 from a Sturmian word.

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The Problem The Tool The Proof

Stripes of perfect 3 → 2 tilings

Perfect 3→2 tiling: intertwined stripes encoding Sturmian words.

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Stripes of perfect 3 → 2 tilings

Parallel stripes encode quasi-Sturmian words with the same slope.

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The Problem The Tool The Proof

A sofic subshift

Proposition

The Sturmian words of comput. slopeα form an effective subshift.

Proof sketch: compute patterns up to haven+ 1 factors of size n.

The following 2D subshift is thus sofic:

Zα ={y ∈ {0,1}Z2, ∀j, yj =y0 =sα,0}, and thequasi-Sturmian subshiftalso (use a “carry” layer):

Zα0 ={y ∈ {0,1}Z2, ∀j, d(yj,sα,0)≤1}.

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From perfect 3 → 2 tilings to quasi-Sturmian subshifts

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The Problem The Tool The Proof

From perfect 3 → 2 tilings to quasi-Sturmian subshifts

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From perfect 3 → 2 tilings to quasi-Sturmian subshifts

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The Problem The Tool The Proof

From perfect 3 → 2 tilings to quasi-Sturmian subshifts

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From perfect 3 → 2 tilings to quasi-Sturmian subshifts

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The Problem The Tool The Proof

From perfect 3 → 2 tilings to quasi-Sturmian subshifts

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From quasi-Sturmian subshifts to planar 3 → 2 tilings

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The Problem The Tool The Proof

From quasi-Sturmian subshifts to planar 3 → 2 tilings

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From quasi-Sturmian subshifts to planar 3 → 2 tilings

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The Problem The Tool The Proof

From quasi-Sturmian subshifts to planar 3 → 2 tilings

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From quasi-Sturmian subshifts to planar 3 → 2 tilings

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The Problem The Tool The Proof

From quasi-Sturmian subshifts to planar 3 → 2 tilings

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Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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The Problem The Tool The Proof

Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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The Problem The Tool The Proof

Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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The Problem The Tool The Proof

Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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Higher (co)dimensions

Perfectn →d tilings: (dn)

2

intertwined quasi-Sturmian subshifts.

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Conclusion/Perspectives

Decorated local rules

The computable slopes have natural decorated rules (thickness 2).

Do they have strong decorated local rules (i.e., thickness 1)?

Undecorated local rules

Decorations can be encoded by “fluctuations” at the cost of an increase of 1 in the thickness, but the rules are no more natural.

Natural undecorated local rules

Only algebraic slopes can have natural undecorated rules (Le ’95). Even fewer slopes can have strong undecorated rules (Levitov ’88). There is yet no complete characterization of these slopes.

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Conclusion/Perspectives

Decorated local rules

The computable slopes have natural decorated rules (thickness 2).

Do they have strong decorated local rules (i.e., thickness 1)?

Undecorated local rules

Decorations can be encoded by “fluctuations” at the cost of an increase of 1 in the thickness, but the rules are no more natural.

Only algebraic slopes can have natural undecorated rules (Le ’95). Even fewer slopes can have strong undecorated rules (Levitov ’88). There is yet no complete characterization of these slopes.

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Conclusion/Perspectives

Decorated local rules

The computable slopes have natural decorated rules (thickness 2).

Do they have strong decorated local rules (i.e., thickness 1)?

Undecorated local rules

Decorations can be encoded by “fluctuations” at the cost of an increase of 1 in the thickness, but the rules are no more natural.

Natural undecorated local rules

Only algebraic slopes can have natural undecorated rules (Le ’95).

Even fewer slopes can have strong undecorated rules (Levitov ’88).

There is yet no complete characterization of these slopes.

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