Graph decompositions and well-quasi-ordering
Jean-Florent Raymond
LIRMM, University of Montpellier, France, and MIMUW, University of Warsaw, Poland
Orl´eans,November 2015
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 1 / 14 {0}, {1}, {2},... is an infinite antichain wrt. ⊆ → (P(N), ⊆) is not a WQO; ? (A , 6subseq) with A finite: WQO; (graphs, 6minor): WQO.
1 1 1, 2 , 3 ,... is an infinite decreasing sequence wrt. 6 → (Q, 6) is not a WQO;
Well-quasi-ordering
A WQO is an order where: every decreasing sequence is finite; every sequence of non-comparable elements is finite.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 2 / 14 ? (A , 6subseq) with A finite: WQO; (graphs, 6minor): WQO.
{0}, {1}, {2},... is an infinite antichain wrt. ⊆ → (P(N), ⊆) is not a WQO;
Well-quasi-ordering
A WQO is an order where: every decreasing sequence is finite; every sequence of non-comparable elements is finite.
Examples: 1 1 1, 2 , 3 ,... is an infinite decreasing sequence wrt. 6 → (Q, 6) is not a WQO;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 2 / 14 ? (A , 6subseq) with A finite: WQO; (graphs, 6minor): WQO.
Well-quasi-ordering
A WQO is an order where: every decreasing sequence is finite; every sequence of non-comparable elements is finite.
Examples: 1 1 1, 2 , 3 ,... is an infinite decreasing sequence wrt. 6 → (Q, 6) is not a WQO; {0}, {1}, {2},... is an infinite antichain wrt. ⊆ → (P(N), ⊆) is not a WQO;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 2 / 14 Well-quasi-ordering
A WQO is an order where: every decreasing sequence is finite; every sequence of non-comparable elements is finite.
Examples: 1 1 1, 2 , 3 ,... is an infinite decreasing sequence wrt. 6 → (Q, 6) is not a WQO; {0}, {1}, {2},... is an infinite antichain wrt. ⊆ → (P(N), ⊆) is not a WQO; ? (A , 6subseq) with A finite: WQO; (graphs, 6minor): WQO.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 2 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
m1 m3
m2
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
b a
m1 m3
m2
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
x ∈ U ⇐⇒ m1 6 x ∨ · · · ∨ mk 6 x (finite base)
m1 m3
m2
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
x ∈ U ⇐⇒ m1 6 x ∨ · · · ∨ mk 6 x (finite base) Membership testing can be done in a finite number of checks.
m1 m3
m2
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
x ∈ U ⇐⇒ m1 6 x ∨ · · · ∨ mk 6 x (finite base) Membership testing can be done in a finite number of checks.
m1 m3
m2 Downwards closed classes have a finite number of obstructions.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
x ∈ U ⇐⇒ m1 6 x ∨ · · · ∨ mk 6 x (finite base) Membership testing can be done in a finite number of checks.
m1 m3
m2 Downwards closed classes have a finite number of obstructions. a
b
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
x ∈ U ⇐⇒ m1 6 x ∨ · · · ∨ mk 6 x (finite base) Membership testing can be done in a finite number of checks.
m1 m3
m2 Downwards closed classes have a finite number of obstructions.
x ∈ D ⇐⇒ m1 6 x ∧ · · · ∧ mk 6 x
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
Upwards closed classes have a finite number of minimal elements.
x ∈ U ⇐⇒ m1 6 x ∨ · · · ∨ mk 6 x (finite base) Membership testing can be done in a finite number of checks.
m1 m3
m2 Downwards closed classes have a finite number of obstructions.
x ∈ D ⇐⇒ m1 6 x ∧ · · · ∧ mk 6 x
Membership testing can be done in a finite number of checks.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 Why do we like well-quasi-orders?
graphs of genus > g + minor relation (> k)-colorable graphs + induced subgraph relation ...
m1 m3
m2
graphs of treewidth 6 k + minor relation trees + contraction relation ...
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 3 / 14 contraction relation 6ctr: E contraction; induced minor relation 6im: V deletion and E contraction; minor relation 6m: V and E deletion, E contraction.
In this talk...
(S, 6) = (graph class, graph containment relation)
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 4 / 14 In this talk...
(S, 6) = (graph class, graph containment relation)
contraction relation 6ctr: E contraction; induced minor relation 6im: V deletion and E contraction; minor relation 6m: V and E deletion, E contraction.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 4 / 14 ...some are not: (induced) subgraphs contractions induced minors (induced) topological minor ...and some are still open: induced immersions strong immersions
Main message: decomposition results (sometimes) imply WQO.
Containment relations on graphs
Some are WQO: minors: [GMXX] (Wagner’s conjecture) immersions: [GMXXIII] (Nash-Williams’ Conjecture)
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 5 / 14 ...and some are still open: induced immersions strong immersions
Main message: decomposition results (sometimes) imply WQO.
Containment relations on graphs
Some are WQO: minors: [GMXX] (Wagner’s conjecture) immersions: [GMXXIII] (Nash-Williams’ Conjecture) ...some are not: (induced) subgraphs contractions induced minors (induced) topological minor
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 5 / 14 Main message: decomposition results (sometimes) imply WQO.
Containment relations on graphs
Some are WQO: minors: [GMXX] (Wagner’s conjecture) immersions: [GMXXIII] (Nash-Williams’ Conjecture) ...some are not: (induced) subgraphs contractions induced minors (induced) topological minor ...and some are still open: induced immersions strong immersions
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 5 / 14 Containment relations on graphs
Some are WQO: minors: [GMXX] (Wagner’s conjecture) immersions: [GMXXIII] (Nash-Williams’ Conjecture) ...some are not: (induced) subgraphs contractions induced minors (induced) topological minor ...and some are still open: induced immersions strong immersions
Main message: decomposition results (sometimes) imply WQO.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 5 / 14 3 show that encodings are WQO by this order; 4 that’s it! antichain {G1, G2,... } ⇒ antichain {enc(G1), enc(G2),... }
1 choose an encoding of graphs as tuples (for instance) e.g. # of subdivisions for each edge, in some chosen order; enc( ) = (1, 0, 1, 0, 2)
0 0 2 choose an order on tuples s.t. enc(G) 6 enc(G ) ⇒ G 6ctr G e.g. the product order, (2, 1, 0, 3, 1) 6 (5, 1, 2, 4, 1)
From structure to WQO
Toy example Subdivisions of H are WQO by contraction.
H =
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 6 / 14 4 that’s it! antichain {G1, G2,... } ⇒ antichain {enc(G1), enc(G2),... }
0 0 2 choose an order on tuples s.t. enc(G) 6 enc(G ) ⇒ G 6ctr G e.g. the product order, (2, 1, 0, 3, 1) 6 (5, 1, 2, 4, 1) 3 show that encodings are WQO by this order;
From structure to WQO
Toy example Subdivisions of H are WQO by contraction. 4 H = 5 3 1 2
1 choose an encoding of graphs as tuples (for instance) e.g. # of subdivisions for each edge, in some chosen order; enc( ) = (1, 0, 1, 0, 2)
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 6 / 14 3 show that encodings are WQO by this order; 4 that’s it! antichain {G1, G2,... } ⇒ antichain {enc(G1), enc(G2),... }
From structure to WQO
Toy example Subdivisions of H are WQO by contraction. 4 H = 5 3 1 2
1 choose an encoding of graphs as tuples (for instance) e.g. # of subdivisions for each edge, in some chosen order; enc( ) = (1, 0, 1, 0, 2)
0 0 2 choose an order on tuples s.t. enc(G) 6 enc(G ) ⇒ G 6ctr G e.g. the product order, (2, 1, 0, 3, 1) 6 (5, 1, 2, 4, 1)
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 6 / 14 4 that’s it! antichain {G1, G2,... } ⇒ antichain {enc(G1), enc(G2),... }
From structure to WQO
Toy example Subdivisions of H are WQO by contraction. 4 H = 5 3 1 2
1 choose an encoding of graphs as tuples (for instance) e.g. # of subdivisions for each edge, in some chosen order; enc( ) = (1, 0, 1, 0, 2)
0 0 2 choose an order on tuples s.t. enc(G) 6 enc(G ) ⇒ G 6ctr G e.g. the product order, (2, 1, 0, 3, 1) 6 (5, 1, 2, 4, 1) 3 show that encodings are WQO by this order;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 6 / 14 From structure to WQO
Toy example Subdivisions of H are WQO by contraction. 4 H = 5 3 1 2
1 choose an encoding of graphs as tuples (for instance) e.g. # of subdivisions for each edge, in some chosen order; enc( ) = (1, 0, 1, 0, 2)
0 0 2 choose an order on tuples s.t. enc(G) 6 enc(G ) ⇒ G 6ctr G e.g. the product order, (2, 1, 0, 3, 1) 6 (5, 1, 2, 4, 1) 3 show that encodings are WQO by this order; 4 that’s it! antichain {G1, G2,... } ⇒ antichain {enc(G1), enc(G2),... }
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 6 / 14 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 S ⊆ G? (Nash-Williams’ minimum bad sequence).
High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 High level view
Goal: show that (G, 6) is a WQO. 1 choose a mapping enc : G → S where S is simple; 0 0 2 choose an order S on S s.t. enc(G) S enc(G ) ⇒ G G ;
3 show that (S, S ) is a WQO.
In other words: order-preserving functions send WQOs on WQOs.
Choice of S: given by a decomposition; S = (labeled) 2-c graphs of G; S ⊆ G? (Nash-Williams’ minimum bad sequence).
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 7 / 14 Lemma -induced minor-free graphs are WQO by induced minors.
First example
Theorem (Blasiok, Kami´nski,R., Trunck ’15)
H-induced minor-free graphs are WQO by 6im iff H is induced minor of or .
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 8 / 14 First example
Theorem (Blasiok, Kami´nski,R., Trunck ’15)
H-induced minor-free graphs are WQO by 6im iff H is induced minor of or .
Lemma -induced minor-free graphs are WQO by induced minors.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 8 / 14 enc(G) = (G1, λ1),..., (Gk , λk )
Gi is a path or a cograph; 6 λi : V (Gi ) → {0, 1} (labeling) we choose an order on encodings.
(labeled) cographs and paths are easy to order.
Following the recipe
Lemma (Blasiok, Kami´nski,R., Trunck ’15) Every 2-connected -induced minor-free graph is like this:
C P C: cograph . P: path . C
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 9 / 14 Gi is a path or a cograph; 6 λi : V (Gi ) → {0, 1} (labeling) we choose an order on encodings.
(labeled) cographs and paths are easy to order.
Following the recipe
Lemma (Blasiok, Kami´nski,R., Trunck ’15) Every 2-connected -induced minor-free graph is like this:
C P C: cograph . P: path . C
enc(G) = (G1, λ1),..., (Gk , λk )
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 9 / 14 we choose an order on encodings.
(labeled) cographs and paths are easy to order.
Following the recipe
Lemma (Blasiok, Kami´nski,R., Trunck ’15) Every 2-connected -induced minor-free graph is like this:
C P C: cograph . P: path . C
enc(G) = (G1, λ1),..., (Gk , λk )
Gi is a path or a cograph; 6 λi : V (Gi ) → {0, 1} (labeling)
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 9 / 14 (labeled) cographs and paths are easy to order.
Following the recipe
Lemma (Blasiok, Kami´nski,R., Trunck ’15) Every 2-connected -induced minor-free graph is like this:
C P C: cograph . P: path . C
enc(G) = (G1, λ1),..., (Gk , λk )
Gi is a path or a cograph; 6 λi : V (Gi ) → {0, 1} (labeling) we choose an order on encodings.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 9 / 14 Following the recipe
Lemma (Blasiok, Kami´nski,R., Trunck ’15) Every 2-connected -induced minor-free graph is like this:
C P C: cograph . P: path . C
enc(G) = (G1, λ1),..., (Gk , λk )
Gi is a path or a cograph; 6 λi : V (Gi ) → {0, 1} (labeling) we choose an order on encodings.
(labeled) cographs and paths are easy to order.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 9 / 14 Lemma -contraction-free graphs are wqo by contractions.
Second example
Theorem (Blasiok, Kami´nski,R., Trunck ’15+) H-contraction-free graphs are WQO by contractions iff H is a contraction of .
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 10 / 14 Second example
Theorem (Blasiok, Kami´nski,R., Trunck ’15+) H-contraction-free graphs are WQO by contractions iff H is a contraction of .
Lemma -contraction-free graphs are wqo by contractions.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 10 / 14 The decomposition
Lemma If G is -contraction-free then every block of G is either a clique or an induced cycle.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 11 / 14 ? If( G1,..., Gp) 6ctr (H1,..., Hq) then cycle(G1,..., Gp) 6ctr cycle(H1,..., Hq) and clique(G1,..., Gp) 6ctr clique(H1,..., Hq)
The encoding
, , , , , = cycle( )
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 12 / 14 The encoding
, , , , , = cycle( )
? If( G1,..., Gp) 6ctr (H1,..., Hq) then cycle(G1,..., Gp) 6ctr cycle(H1,..., Hq) and clique(G1,..., Gp) 6ctr clique(H1,..., Hq)
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 12 / 14 2 B = “parts” of Ai ’s; 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ; ? 4 (B , 6ctr) is a wqo; ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo; 6 {Ai }i is WQO, contradiction.
-contraction-free graphs are WQO by contractions.
Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ; ? 4 (B , 6ctr) is a wqo; ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo; 6 {Ai }i is WQO, contradiction.
-contraction-free graphs are WQO by contractions.
Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
2 B = “parts” of Ai ’s;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 ? 4 (B , 6ctr) is a wqo; ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo; 6 {Ai }i is WQO, contradiction.
-contraction-free graphs are WQO by contractions.
Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
2 B = “parts” of Ai ’s; 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo; 6 {Ai }i is WQO, contradiction.
-contraction-free graphs are WQO by contractions.
Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
2 B = “parts” of Ai ’s; 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ; ? 4 (B , 6ctr) is a wqo;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 6 {Ai }i is WQO, contradiction.
-contraction-free graphs are WQO by contractions.
Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
2 B = “parts” of Ai ’s; 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ; ? 4 (B , 6ctr) is a wqo; ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 -contraction-free graphs are WQO by contractions.
Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
2 B = “parts” of Ai ’s; 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ; ? 4 (B , 6ctr) is a wqo; ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo; 6 {Ai }i is WQO, contradiction.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 Well-quasi-ordering encodings
1 Consider a minimal infinite antichain:
A1, A2,...
2 B = “parts” of Ai ’s; 3 (B, 6ctr) is a wqo, by minimality of {Ai }i ; ? 4 (B , 6ctr) is a wqo; ? ? 5 (cycle(B ) ∪ clique(B ), 6ctr) is a wqo; 6 {Ai }i is WQO, contradiction.
-contraction-free graphs are WQO by contractions.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 13 / 14 needs a good choice of the (encoding, order) (not always possible); well-quasi-orders are “simple” orders.
Further work: study the limit cases for parameterized classes in non-wqos (H-6-free, sparse classes, bounded parameter, etc.); which classes are wqo by strong immersions? Thank you!
Conclusion
general recipe to go from a decomposition to a wqo;
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 14 / 14 well-quasi-orders are “simple” orders.
Further work: study the limit cases for parameterized classes in non-wqos (H-6-free, sparse classes, bounded parameter, etc.); which classes are wqo by strong immersions? Thank you!
Conclusion
general recipe to go from a decomposition to a wqo; needs a good choice of the (encoding, order) (not always possible);
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 14 / 14 Further work: study the limit cases for parameterized classes in non-wqos (H-6-free, sparse classes, bounded parameter, etc.); which classes are wqo by strong immersions? Thank you!
Conclusion
general recipe to go from a decomposition to a wqo; needs a good choice of the (encoding, order) (not always possible); well-quasi-orders are “simple” orders.
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 14 / 14 Thank you!
Conclusion
general recipe to go from a decomposition to a wqo; needs a good choice of the (encoding, order) (not always possible); well-quasi-orders are “simple” orders.
Further work: study the limit cases for parameterized classes in non-wqos (H-6-free, sparse classes, bounded parameter, etc.); which classes are wqo by strong immersions?
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 14 / 14 Conclusion
general recipe to go from a decomposition to a wqo; needs a good choice of the (encoding, order) (not always possible); well-quasi-orders are “simple” orders.
Further work: study the limit cases for parameterized classes in non-wqos (H-6-free, sparse classes, bounded parameter, etc.); which classes are wqo by strong immersions? Thank you!
Jean-Florent Raymond (Montpellier & Warsaw) Graph decompositions and well-quasi-ordering 14 / 14