CONDORCET DOMAINS and DISTRIBUTIVE LATTICES Bernard Monjardet CES - - PDF document

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CONDORCET DOMAINS and DISTRIBUTIVE LATTICES Bernard Monjardet CES - - PDF document

1 CONDORCET DOMAINS and DISTRIBUTIVE LATTICES Bernard Monjardet CES (CERMSEM) Universit Paris I Panthon Sorbonne, Maison des Sciences conomiques, 106-112 bd de lHopital 75647 Paris Cdex 13, FRANCE, and CAMS, EHESS, (e-mail


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CONDORCET DOMAINS and DISTRIBUTIVE LATTICES

Bernard Monjardet

CES (CERMSEM) Université Paris I Panthéon Sorbonne, Maison des Sciences Économiques, 106-112 bd de l’Hopital 75647 Paris Cédex 13, FRANCE, and CAMS, EHESS, (e-mail monjarde@univ-paris1.fr)

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CONDORCET DOMAINS and DISTRIBUTIVE LATTICES

SUMMARY

Condorcet domains Definition Characterization (Ward, Sen...) Examples Maximum size ? Distributive lattices Birkhoff’s duality CH-Condorcet domains (Black, Guilbaud, Romero, Frey, Abello, Arrow and

Raynaud, Chameni-Nembua, Craven, Fishburn, Galambos and Reiner ...)

Definition (closure operator) Examples Main results 3 types of CH-Condorcet domains Maximal chain Single-peaked (Black) Alternating-scheme (Fishburn) Maximum size Conjectures

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CONDORCET DOMAINS

A CONDORCET DOMAIN is a set of linear orders where the majority rule works well : the strict majority relation is always a (not necessarily linear) order

(equivalently, it has never cycles)

321 123 132 231 312 213 3 2 1

123 231 321

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A = {1,2… n} (alternatives, candidates, decisions,…) L = x1<x2<…..xn linear order on A (permutation x1x2…..xn ; rank of xi = i)

D ⊆ Ln = {n! linear orders on A}

π ∈ ∈ ∈ ∈ DV profile of v “voters” yLqx for voter q if (s)he prefers x to y yRMAJ(π π π π)x if |{i ∈ ∈ ∈ ∈ V : yLix}| > v/2

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L = x1<x2<…..xn linear order on A (permutation x1x2…..xn ; rank of xi = i)

D ⊆ Ln = {n! linear orders on A}

π ∈ ∈ ∈ ∈ DV profile of v “voters” yLqx for voter q if (s)he prefers x to y yRMAJ(π π π π)x if |{i ∈ ∈ ∈ ∈ V : yLix}| > v/2 A set D of linear orders is a Condorcet domain if ∀ v ≥ 1,∀ π ∈ Dv, RMAJ(π) has no cycles

Terminology : transitive simple majority domains, consistent sets, majority-consistent sets, acyclic sets

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CONDORCET DOMAINS CHARACTERIZATION

Ward, Sen,…..

D ⊂ Ln is a Condorcet domain

D does not contain 3-cyclic sets

D is value-restricted

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CONDORCET DOMAINS CHARACTERIZATION

Ward, Sen,…..

D ⊂ Ln is a Condorcet domain

D does not contain 3-cyclic sets

D is value-restricted

3-cyclic set (latin square):

x1x2x3 x2x3x1 x3x1x2

D ⊂ Ln is value-restricted if, for every

subset {i,j,k} of A, there exists an alternative which either has

never rank 1 or never rank 2 or never rank 3

in the set D/{i,j,k}.

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CONDORCET DOMAINS CHARACTERIZATION

Ward, Sen,…..

D ⊂ Ln is a Condorcet domain

D does not contain 3-cyclic sets

D is value-restricted D ⊂ Ln is value-restricted if, for every

subset {i,j,k} of A, there exists an alternative which either has

never rank 1 or never rank 2 or never rank 3

in the set D/{i,j,k}.

  • For i<j<k, h ∈ {i,j,k} and r ∈ {1,2,3},

D satisfies the Never Condition hN{i,j,k}r if h has never rank r in the set D/{i,j,k}

  • D satisfies the Never Condition hNr

if for every i<j<k, hN{i,j,k}r

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THREE EXAMPLES of CONDORCET DOMAINS in L4

1234 2134 1324 1243 2143 3124 3412 2314 1423 4123 1432 1342 4132 3142 4312 3421 4321 2413 4231 3241 4213 2431 2341 3214

L4

WHY ?

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1234 2134 1324 1243 2143 3124 3412 2314 1423 4123 1432 1342 4132 3142 4312 3421 4321 2413 4231 3241 4213 2431 2341 3214

L4

C 1 2 3 1 2 4 1 3 4 2 3 4 1234 123 124 134 234 2134 213 214 134 234 2314 231 214 314 234 2341 231 241 341 234 2431 231 241 431 243 4231 231 421 431 423 4321 321 421 431 432 2 NEVER 3 2 NEVER 3 2 NEVER 3 3 NEVER 1

t(C)  = {123,124,134,234,213,214,231,314, 241,341,243,431,423,421,432,321} = 16

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1234 2134 1324 1243 2143 3124 3412 2314 1423 4123 1432 1342 4132 3142 4312 3421 4321 2413 4231 3241 4213 2431 2341 3214

B(4) = {4321, 4312, 4132, 4123, 1432,

1423, 1243, 1234} satisfies jN1 (i<j<k)

AS(4) = {4321, 42312431,4213,2413,

2143,2134,1243,1234}

satisfies ......

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HOW LARGE CAN BE CONDORCET DOMAINS ?

A Condorcet domain D is maximal, if for any linear order L not in D, D∪{L} is no more a Condorcet domain. A Condorcet domain D ⊂ Ln is maximum if it has the maximum cardinality among all Condorcet domains in Ln. PROBLEM What is the size of a maximum Condorcet domain ?

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HOW LARGE CAN BE CONDORCET DOMAINS ?

A Condorcet domain D is maximal, if for any linear order L not in D, D∪{L} is no more a Condorcet domain. A Condorcet domain D ⊂ Ln is maximum if it has the maximum cardinality among all Condorcet domains in Ln. PROBLEM What is the size of a maximum Condorcet domain ? CONJECTURE Johnson 1978, Craven 1992 maximum size = 2n-1

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HOW LARGE CAN BE CONDORCET DOMAINS ?

A Condorcet domain D is maximal, if for any linear order L not in D, D∪{L} is no more a Condorcet domain. A Condorcet domain D ⊂ Ln is maximum if it has the maximum cardinality among all Condorcet domains in Ln. PROBLEM What is the size of a maximum Condorcet domain ? CONJECTURE Johnson 1978, Craven 1992 maximum size = 2n-1

Disproved : Kim and Roush 1980 !

for n = 4 ! ! The three previous examples are maximal Condorcet domains and AS(4) is maximum

  • f size 9.
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DISTRIBUTIVE LATTICES Birkhoff’s representation theorem

A distributive lattice L is isomorphic to the lattice of ideals of the poset JL of its join-irreducible elements

e g i c Ø d f h b a b c d f g h b bc bd bcdf bcd bcdfh bcdfg bcdfgh

L JL I(JL)

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The THREE EXAMPLES of CONDORCET DOMAINS in L4

1234 2134 1243 2143 2314 1423 4123 1432 4132 4312 2413 4231 4213 2431 2341 1234 1234 2134 1243 4321 4321 4321 2431 4231

C

B(4) AS(4) t(C) = {123,124,134,234,213,214,231,314,241, 341,243,431,423,421,432,321} t(B) = {123,124,134,234,143,243,142,423,132, 432,412,413,431,312,432,321} t(AS(4)) = {123,124,134,234,213,214,143,243, 241,413,231,431, 421,423,432,321}

16 ordered triples Why ?

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THREE OBSERVATIONS

A CONDORCET DOMAIN of Ln contains at most 4n(n-1)(n-2)/3 ordered triples (16 for n = 4)

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THREE OBSERVATIONS

A CONDORCET DOMAIN of Ln contains at most 4n(n-1)(n-2)/3 ordered triples (16 for n = 4)

Any MAXIMAL CHAIN of Ln is a CONDORCET DOMAIN

(Blin, 1972)

containing

n(n-1)(n-2)/6+(n-2)[n(n-1)/2] = 4n(n-1)(n-2)/3

  • rdered triples
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THREE OBSERVATIONS

A CONDORCET DOMAIN of Ln contains at most 4n(n-1)(n-2)/3 ordered triples (16 for n = 4) Any MAXIMAL CHAIN of Ln is a CONDORCET DOMAIN (Blin, 1972) containing n(n-1)(n-2)/6+(n-2)[n(n-1)/2] = 4n(n-1)(n-2)/3

  • rdered triples

A MAXIMAL CHAIN of Ln is not generally a MAXIMAL CONDORCET DOMAIN

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CH-CONDORCET DOMAINS The closure operator

1234 2134 1243 2143 2413 4231 4213 2431 1234 2134 4321 4321 2431 4231 2143 2413

E ⊂ Ln → E∪{L ∈ Ln : t(L) ⊂ t(E)}

(Closure operator defined by Kim and Roush, 1980)

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CH-CONDORCET DOMAINS The closure operator

1234 2134 1243 2143 2413 4231 4213 2431 1234 2134 4321 4321 2431 4231 2143 2413

E ⊂ Ln → E∪{L ∈ Ln : t(L) ⊂ t(E)}

(Closure operator defined by Kim and Roush, 1980)

A CH-Condorcet domain is the closure D

  • f a maximal chain C of Ln

and so is a maximal CH-Condorcet domain

(Abello, 1984, 1985)

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An EXAMPLE of CH-CONDORCET DOMAIN: A A A AS S S S(4)

1234 2134 1243 2143 2413 4231 4213 2431 1234 2134 4321 4321 2431 4231 2143 2413

AS(4) is a distributive lattice, maximal

covering distributive sublattice of Ln

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An EXAMPLE of CH-CONDORCET DOMAIN: A A A AS S S S(4)

1234 2134 1243 2143 2413 4231 4213 2431 1234 2134 4321 4321 2431 4231 2143 2413

AS(4) is a distributive lattice, maximal covering distributive sublattice of Ln

1243 2143 2134 12 14 34 13 24 23 23 13 24 34 14 4231 4213 2431 12

JA

A A AS S S S(4)

PA

A A AS S S S(4)

PA

A A AS S S S(4) is defined on the set of ordered pairs of {1,2,3,4}

It induces AS(4) It can be obtained from any maximal chain of AS(4):

4321p4231p2431p2413p2143p2134p1234

  • associate the linear order : 23p24p13p14p24p12

………

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NEVER CONDITIONS for A A A AS S S S(4)

1 2 3 1 2 4 1 3 4 2 3 4 1234 123 124 134 234 2134 213 214 134 234 1243 123 124 143 243 2143 213 214 143 243 2413 213 241 413 243 2431 231 241 431 243 4213 213 421 413 423 4231 231 421 431 423 4321 321 421 431 432 2 NEVER 3 2 NEVER 3 3 NEVER 1 3 NEVER 1

3 NEVER 1 in {134} and {234} 2 NEVER 3 in {123} and {124}

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NEVER CONDITIONS for A A A AS S S S(4)

1 2 3 1 2 4 1 3 4 2 3 4 1234 123 124 134 234 2134 213 214 134 234 1243 123 124 143 243 2143 213 214 143 243 2413 213 241 413 243 2431 231 241 431 243 4213 213 421 413 423 4231 231 421 431 423 4321 321 421 431 432 2 NEVER 3 2 NEVER 3 3 NEVER 1 3 NEVER 1

3 NEVER 1 in {134} and {234} 2 NEVER 3 in {123} and {124}

GENERALIZATION: Fishburn’s alternating scheme (1997) giving AS(n)

∀ i < j < k and j odd, jN1 in L/{i,j,k} ∀ i < j < k and j even, jN3 in L/{i,j,k}

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NEVER CONDITIONS for A A A AS S S S(4)

1 2 3 1 2 4 1 3 4 2 3 4 1234 123 124 134 234 2134 213 214 134 234 1243 123 124 143 243 2143 213 214 143 243 2413 213 241 413 243 2431 231 241 431 243 4213 213 421 413 423 4231 231 421 431 423 4321 321 421 431 432 2 NEVER 3 2 NEVER 3 3 NEVER 1 3 NEVER 1

3 NEVER 1 in {134} and {234} 2 NEVER 3 in {123} and {124} GENERALIZATION: Fishburn’s alternating scheme (1997) giving AS(n) ∀ i < j < k and j odd, jN1 in L/{i,j,k} ∀ i < j < k and j even, jN3 in L/{i,j,k}

N.B. Maximal chain: {4321,4231,2431,2413,2143,2134,1234} Linear order: 23p24p13p14p34p12 Lexicographic order: {13,14,34}, {23,24,34} Dual lexicographic order: {23,13,12}, {24,14,12}

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AS(6)

654321 213465 123456 123465 213456 214365 214356 124365 124356 124635 124653 214653 241356 421356 214635 421365 241365 421635 426135 241635 241653 246135 462135 642135 426153 421653 246153 246513 246531 462153 642153 465213 426513 426531 462513 642513 645213 654213 462531 642531 645231 654231 645321 465321 465231

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AS(6)

654321 213465 123456 123465 213456 214365 214356 124365 124356 124635 124653 214653 241356 421356 214635 421365 241365 421635 426135 241635 241653 246135 462135 642135 426153 421653 246153 246513 246531 462153 642153 465213 426513 426531 462513 642513 645213 654213 462531 642531 645231 654231 645321 465321 465231

BM, when I was director of Chameni-Nembua’s Thesis (1989), where he proved that any covering distributive sublattice of Ln is a Condorcet domain

(generalizing Guilbaud’s 1952 observation on Black’s domains and Frey’s 1971 results)

45 > 44 !

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AS(5)

54321 12345

34 34 3 4 1 2 1 4 12 24 12 14 12 14 3 5 35 35 35 35 24 2 4 24 24 1 5 25 45 2 3 15 15 13 13 13 1 3 13 25 2 5 4 5 45 45 23 23

PAS(5)

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CH-CONDORCET DOMAINS MAIN RESULTS

Let C be a maximal chain of the lattice Ln 1 The closure D = D(C) of C is

  • a maximal Condorcet domain
  • a

maximal covering distributive sublattice of Ln.

One goes from a maximal chain of D to another one by a sequence

  • f «quadrangular transformations» of linear orders: let L =

x1…xkxk+1…xixi+1…xn be a linear order such that xk, xk+1, xi and xi+1 are four different alternatives ; then L is transformed into L’ = x1…xk+1xk…xi+1xi…xn.

1 The poset JD of the join-irreducible elements of the distributive lattice D is isomorphic to a poset PD defined on the set

  • f all ordered pairs (i<j).

Any order in D corresponds to an ideal of this poset obtained by applying to L0 = n<…2<1 all the transpositions of the ordered pairs belonging to this ideal.

3 D is the set of all linear orders satisfying the following Never Conditions: jN1, ∀ i<j<k with ijk ∈ LEX3λ jN3, ∀ i<j<k with ijk ∈ ΑLEX3λ.

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ALGORITHM CONSTRUCTING PD

D D D from a MAXIMAL CHAIN of D

D D D L0 = n...21p L1 .....Lkp Lk+1....Ln(n-1)/2 = 12...n iterative construction of PD: ρ associated linear order on P2(n) ρ = (i,j)1 p (i,j)2 .... p (i,j) n(n-1)/2, where Lk+1 = Lk \(j,i)k + {(i,j)k} (and i < j). First step : PD = {(i,j)1} Second step PD =

  • (i,j)1 + (i,j)2 if there is no the same

element in the two ordered pairs (i,j)1 and (i,j)2 ;

  • if not, one has for instance (i,j)1 = (x,y)

and (i,j)2 = (y,z) and in this case PD contains (x,y), (y,z) and the ordered pair (x,z) obtained by transitive closure of the two others. Iterating this procedure one obtains finally the partial order PD on the ordered pairs.

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3 types of CH-Condorcet domains

  • Minimal CH-Condorcet domains
  • CH-Condorcet domains given

by Fishburn’s alternating scheme

  • CH-Condorcet domains given

by Black’s single-peaked orders

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Minimal CH-Condorcet domains

12345 21345 23145 23415 25341 23451 23541 52341 54321 53241 53421

2↔ 4 1↔ 5

This maximal chain is obtained from I2345 by the sequence of transpositions exchanging successively the ranks of 1 and 5, then the ranks of 2 and 4 :

34p24p23p25p35p45p15p14p13p12

The set of following Never Conditions defines a maximal CH-Condorcet domain which is a maximal chain of Ln: jN1 ∀ i<j<k with k ∈ {n,n-1,....(n+t)/2} where t = 4 (respectively,3) for n even (respectively, n odd) and i > n+1-k. jN3 ∀ i<j<k with i ∈ {1,2...... (n-1)/2} and k < n+2-i.

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CH-Condorcet domains A A A AS S S S(n)

given by Fishburn’s alternating scheme For n odd, the covering pairs (i,j)p(k,l) (1≤ i<j≤ n) of the poset PAS(n) are given by : ∀ 2 < j, (1,j)p(2,j) ∀ i < n-1, (i,n-1)p(i,n) For i even < j-2, (i,j)p(i+2,j) For i odd > 2, (i,j)p(i-2,j) For j even < n-2, (i,j)p(i,j+2) For j odd > i+2, (i,j)p(i,j-2)

12 14 26 46 56 24 12 36 16 24 35 13 14 25 15 45 23 34 12 35 13 14 25 15 45 23 34 24 13 23 34

PAS(3) PAS(4) PAS(5)

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CH-Condorcet domains B(n) (Black’s single-peaked orders)

The poset PB(n) is a lattice of which the covering relation is given by: (i,j)p(k,h) (1≤ i<j≤ n) if i = k and h = j+1,

  • r if k = i+1 and j = h.

The join and meet operations of this lattice are: (i,j)∨(k,h) = (max(i,k), max(j,h)) and (i,j)∧(k,h) = (min(i,k), min(j,h)). A maximal chain

  • f

B(n) is: 12p....p1np23p....p2np34p.....p3np.....p1n.

12 26 46 56 36 16 24 35 14 25 15 45 23 34 12 34 24 23 14 24 35 13 12 23 13 34 46 35 14 25 15 13

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CH-Condorcet domains B(n) (Black’s single-peaked orders)

The poset PB(n) is a lattice of which the covering relation is given by: (i,j)p(k,h) (1≤ i<j≤ n) if i = k and h = j+1,

  • r if k = i+1 and j = h.

The join and meet operations of this lattice are: (i,j)∨(k,h) = (max(i,k), max(j,h)) and (i,j)∧(k,h) = (min(i,k), min(j,h)). A maximal chain

  • f

B(n) is: 12p....p1np23p....p2np34p.....p3np.....p1n.

12 26 46 56 36 16 24 35 14 25 15 45 23 34 12 34 24 23 14 24 35 13 12 23 13 34 46 35 14 25 15 13

BACDE → ΑBCDE ↑ CBADE → BCADE (A<B) ← (A<C) ← (A<D) ← (A<E) ↑ ↑ ↑ ↑ ↑ DCBAE → CDBAE→ CBDAE→ BCDAE (B<C) ← (B<D) ← (B<E) ↑ ↑ ↑ ↑ ↑ ↑ DCBEA → CDBEA→ CBDEA→ BCDEA (C<D) ← (C<E) ↑ ↑ ↑ DCEBA → CDEBA

(D<E)

↑ EDCBA →DECBA Guilbaud 1952

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MAXIMUM SIZE f(n) = MAX{|D|, D Condorcet

domain ⊂ Ln}

A Condorcet domain D ⊂ Ln is connected, if there always exists a path in the permutoèdre graph Ln between two linear

  • rders in D.

g(n) = MAX{|D|, D connected

Condorcet domain

Ln}

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38 g(n) = MAXIMUM SIZE of a MAXIMAL CONNECTED ACYCLIC SET

f(n) = MAXIMUM SIZE of a MAXIMAL ACYCLIC SET

A B C D E F G H n 2n-1 2n-1+2n-3-1 3.2n-2-4 AS(n) g(n) C(n) RS(n) f(n) 3 4 4 4 4 4 5 4 4 4 8 9 4 4 9 14 8 9 5 16 19 20 4 20 42 16 20 6 32 39 44 45 45 132 36 45 7 64 79 92 100 100 ? 429 81 ? 8 128 159 188 222 ? 1430 180 ? 9 256 319 380 488 ? 4862 400 ? 10 512 639 764 1069 ? 16796 900 ? 11 1024 1279 1532 2324 ? 58786 2025 ? 12 2048 2559 3068 5034 ? 208012 4500 ? 13 4096 5119 6140 10840 ? 742900 10000 ? 14 8192 10239 12284 23266 ? 2674440 22200 ? 15 16384 20479 24572 49704 ? 9694845 49284 ? 16 32768 40959 49148 105884 ? 35357670 108336 ? 17 65536 81919 98300 224720 ? 238144 ? 18 131072 163840 196604 475773 ? 521672 ? 19 262144 826680 393216 1004212 ? 1142761 ? 20 524288 671359 805628 2115186 ? 2484356 ?

EXACT VALUES E: n ≤ 4 folklore, n = 5,6 Fishburn 1997, 2002 H: n ≤ 4 folklore, n = 5,6 Fishburn 1997, 2002 LOWER BOUNDS A: Craven’s conjecture, 1992 (! ) B: Kim and Roush,1980 C: Abello and Johnson 1984 (N.B. 3.2n-2-4 = 2n-1+2n-2-4) D: Fishburn 1997 (Alternating scheme, n ≤ 6 BM 1989) G: Fishburn 1997 (Replacement scheme f(n+m) ≥ f(n).f(m+1)) For all large n, (2.17)n < f(n) (Fishburn 1997) UPPER BOUNDS F: g(n) < C(n) = Catalan number 2n!/n!(n+1)! (Abello 1991) For all n, f(n) < cn for some c > 0 (Raz 2000)

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CONJECTURES

Let |AS(n)| be the size of the acyclic domain given by the alternating scheme.

Conjecture 1 (Galambos and Reiner 2006) g(n) = | AS(n)|

This conjecture is true for n ≤ 6 since in this case f(n) = |AS(n)| and Galambos and Reiner checked it for n = 7.

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CONJECTURES

Let |AS(n)| be the size of the acyclic domain given by the alternating scheme.

Conjecture 1 (Galambos and Reiner 2006) g(n) = | AS(n)|

This conjecture is true for n ≤ 6 since in this case f(n) = |AS(n)| and Galambos and Reiner checked it for n = 7.

Conjecture 2 (BM 2006) For any integer i in the interval [1+ n(n- 1)/2, g(n)] there exists a maximal covering distributive sublatticc of Ln of size i.

True for n = 4

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Conjecture 2 (BM 2006) For any integer i in the interval [1+ n(n-1)/2, g(n)] there exists a maximal covering distributive sublattice of Ln of size i.

FALSE ! even for n = 5

SIZE of the MCDS Number

  • f types

20 1 19 1 17 2 16 4 15 2 14 2 12 4 11 1

There does not exist MCDS of L5 of size 13 and 18

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REFERENCES

Abello JM (1981) Toward a maximum consistent set. Technical Report TRCS11-81, Computer Science Dept., University of California. Abello JM (1985) A study of an independence system arising in group choice via the weak Bruhat order. Ph.D. thesis, University of California, San Diego, CA Abello JM (1985) Intrinsic limitations of the majority rule, an algorithmic approach. SIAM Journal of Algebraic and Discrete Methods 6: 133-144 Abello JM (1987) Algorithms for consistent sets. Congressus Numerantium 53: 23-38. Abello JM (1988) An extremal problem on Sn, Advanced Research Institute in Discrete Applied Mathematics (ARIDAM) Workshop,. Abello JM (1991) The weak Bruhat order of Sn, consistent sets, and Catalan numbers. SIAM Journal of Algebraic and Discrete Methods 4(1): 11-16 Abello JM (2004) The Majority Rule and Combinatorial Geometry (via the Symmetric Group). Annales du LAMSADE 3:1-13 Abello JM, Johnson CR (1984) How large are transitive simple majority domains? SIAM Journal of Algebraic and Discrete Methods 5(4): 603-618 Arrow KJ (1951,1970) Social Choice and Individual Values. Wiley, New York Arrow KJ, Raynaud H (1986) Social Choice and Multicriterion Decision-Making. MIT Press, Cambridge Barthélemy JP, Monjardet B (1981) The Median Procedure in Cluster Analysis and Social Choice Theory. Mathematical Social Science 1: 235-268 Barbut M, Monjardet B (1970) Ordre et Classification, Algèbre et Combinatoire, tomes I

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43

et II. Hachette, Paris Berge C (1971) Principles of Combinatorics. Academic Press, New-York Björner A (1984) Orderings of Coxeter groups. In Greene C (ed) Combinatorics and

  • algebra. Contemporary Mathematics 34, American Mathematical Society, Providence R.I.

pp 175-195 Black D (1948) On the rationale of group decision-making. Journal of Political Economy 56: 23-34 Black D (1958) The Theory of Committees and Elections. Cambridge University Press, Cambridge Black D (1998) The theory of committees & Committee decisions with complementary valuation by Duncan Black and R.A. Newing. - Revised 2nd eds. McLean IS, McMillan A, Monroe BL (eds) Kluwer, Boston Blin J-M 1973) The general concept of multidimensional consistency: some algebraic aspects of the aggregation problem. In Conference Proceedings of the South Carolina Seminar on Multiple Criteria Decision Making. University of South Carolina Press Caspard N (2000) The lattice of permutations is bounded. International Journal of Algebra and Computation10(4): 481-489 Chameni-Nembua C (1989) Permutoèdre et choix social. Third cycle thesis, Université de Paris V Chameni-Nembua C (1989) Régle majoritaire et distributivité dans le permutoèdre. Mathématiques Informatique et Sciences humaines 108: 5-22 Condorcet MJAM (1785) Essai sur l'application de l'analyse à la probabilité des décisions rendues à la pluralité des voix. Paris Craven J (1992) Social Choice A Framework for Collective Decisions and Individual

  • Judgements. Cambridge University Press, Cambridge

Craven J (1992) Further notes on Craven's conjecture. Social Choice and Welfare. 11: 283-285 Craven J (1996) Majority consistent preference orderings. Social Choice and Welfare 13: 259-267 Doignon, J. Falmagne J.C. , A polynomial algorithm for unidimensional unfolding representations, Journal of algorithms,16, 1994, 218-233. Dumett M, Farquharson R (1961) Stability in voting. Econometrica 29: 33-41 Duquenne V, Cherfouh A (1994) On permutation lattices. Mathematical Social Sciences 27(1): 73-89 Edelman P, Greene C (1987) Balanced tableaux. Advances in Mathematics 63(1): 42-99 Fishburn PC (1992) Notes on Craven's conjecture. Social Choice and Welfare 9: 259-262 Fishburn PC (1996) Decision theory and discrete mathematics. Discrete Applied Mathematics 68(3): 209-221 Fishburn PC (1997) Acyclic sets of linear orders. Social Choice and Welfare14: 113-124 Fishburn PC (2002) Acyclic sets of linear orders: A progress report. Social Choice and Welfare19(2): 113-124 Fishburn PC (2005) Subcyclic sets of linear orders. Social Choice and Welfare 24(2): 199-210 Frey L (1971) Parties distributives du treillis des permutations, In Ordres totaux finis, Mathématiques et Sciences de l'Homme XII, Paris, Gauthier-Villars, pp 115-126 Frey L, Barbut M (1971) Technique ordinales en analyse des données, Algèbre et

slide-44
SLIDE 44

44

  • combinatoire. Hachette, Paris

Galambos A, Reiner V (2006) Acyclic Sets of Linear Orders via the Bruhat Order, accepted under revision to Social Choice and Welfare. Guilbaud GTh (1952) Les théories de l'intérêt général et le problème logique de l'agrégation. Economie Appliquée 5(4) reprinted in Eléments de la théorie des jeux, Dunod, Paris, 1968. (Partial) English translation: Theories of the general interest and the logical problem of aggregation. In Lazarsfeld PF, Henry NW (eds) Readings in Mathematical Social Sciences, Science Research Association, Inc., Chicago, 1966, pp 262- 307. Guilbaud GTh, Rosenstiehl P (1963) Analyse algébrique d'un scrutin. Mathématiques et Sciences humaines 4: 9-33 and In Ordres totaux finis (1971) Mathématiques et Sciences de l'Homme XII, Paris, Gauthier-Villars, pp 71-100. Inada K (1964) A Note on the Simple Majority Decision Rule. Econometrica 32(4): 525- 531 Johnson CR (1978) Remarks on mathematical social choice.Working paper 78-25, Dept

  • f Economics, University of Maryland, College Park

Kelly JS (1991) Craven’s conjecture. Social Choice and Welfare 8: 269-274 Kim KH, Roush FW (1980) Introduction to mathematical consensus theory. Marcel Dekker, New York Kim KH, Roush FW, Intriligator MD (1992) Overview of mathematical social sciences. American Mathematical Monthly 99: 838-844 Köhler G CHoix multicritère et analyse de données ordinales. Third cycle thesis, Université Scientifique et médicale de Grenoble Le Conte de Poly-Barbut, C. (1990) Le diagramme du treillis permutoèdre est intersection des diagrammes de deux produits directs d'ordres totaux, Mathématiques Informatique et Sciences humaines 112: 49-53. Markowsky G (1994) Permutation lattices revisited. Mathematical Social Sciences 27(1): 59-72 Monjardet B (1971) Treillis d'ordres, In Ordres totaux finis, Mathématiques et Sciences de l'Homme XII, Paris, Gauthier-Villars, pp 29-45 Monjardet B (1978) An axiomatic theory of tournament aggregation. Mathematical and Operation Research 3(4): 334-351 Monjardet B (2006) Social choice theory and the "Centre de Mathématique Sociale". Some historical notes. Social choice and Welfare 25: 433-456 Provan JS, Ball MO (1983) The complexity of counting cuts and of computing the probability that a graph is connected. SIAM Journal on Computing 12: 777-788. Raynaud H (1980) A proposition on some transitive conditions for the well-known majority rule. Cahiers du Centre d’Etudes de Recherche Opérationnelle 22(1) :17-21 Erratum in Mathématiques et Sciences humaines 73: 112 (1981). Raynaud H (1981a) Paradoxical results from Inada’s conditions for majority rule. Technical Report 331. Institute for mathematical studies in the social sciences, Standford University, Standford, CA. Raynaud H (1981b) Conditions for transitivity of majority rule with algorithic

  • interpretations. Technical Report 347. Institute for mathematical studies in the social

sciences, Standford University, Standford, CA. Raynaud H (1981c) How restrictive actually are the value restriction conditions. Technical Report 348. Institute for mathematical studies in the social sciences, Standford University,

slide-45
SLIDE 45

45

Standford, CA. Raynaud H (1982) The individual freedom allowed by the value restriction conditions. Technical Report 360. Institute for mathematical studies in the social sciences, Standford University, Standford, CA. Raz R (2000) VC-dimension of sets of permutations. Combinatoria 20: 1-15 Romero D (1978) Variation sur l'effet Condorcet. Third cycle thesis, Université Scientifique et médicale de Grenoble Sen AK (1964) Preferences, Votes and the Transitivity of Majority Decisions. Review of Economic Studies 31 (2): 163-165 Sen A. (1966) A possibility theorem on majority decisions. Econometrica 34: 491-499. Vickrey W (1960) Utility, strategy and social decision rules. Quaterly Journal of Economics 74: 507-535 Ward B (1965) Majority voting and the alternative forms of public enterprise. In: Margolis J (ed) The public economy urban communities. John Hopkins University Press, Baltimore Yanagimoto T, Okamoto M (1969) Partial orderings of permutations and monotonicity of a rank correlation statistic. Annals Institute of Statistics 21: 489-506 19/10/06