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Chains, Antichains, Sperner and Dilworth
1 · Prerequisites
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Inclusion–Exclusion, the Pigeonhole Principle and Double Counting
- Order, Zorn's Lemma, and the Axiom of Choice
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
Finite partial orders supply comparability, chains, and the order laws used throughout, while finite cardinality makes height, width, and level sizes exact natural numbers. Binomial coefficients, factorials, finite sums, and the product rule support the incidence counts in the Boolean lattice. The pigeonhole principle enters the monotone-subsequence and sunflower arguments.
The development defines antichains and cover numbers, graded posets, Boolean levels, shadows, intersecting families, sunflowers, lattices, and order ideals. Mirsky and Dilworth identify height and width with optimal covers. Maximal-chain counting yields LYM, local LYM, and Sperner with its equality cases, while symmetric chains give another bound. Katona's cycle argument proves Erdős-Ko-Rado, induction proves the sunflower lemma, and join-irreducible decomposition leads to Birkhoff's finite representation theorem.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Antichains, chain covers, and antichain covers of a poset
Definition
Let be a poset (Partial order and partially ordered set).
An antichain is a subset whose distinct elements are incomparable. Thus and imply that neither nor . An antichain is maximal if it is contained in no larger antichain, and maximum if its cardinality is at least that of every antichain in . These notions are different: maximal refers to inclusion, whereas maximum refers to cardinality.
A chain cover of is a family of chains (Chain in a poset) with . An antichain cover is a family of antichains with . A cover may have overlapping members. For a finite cover, order its members, assign each point to the first member that contains it, and delete it from the others. This produces a partition into no more chains, or no more antichains, so minimum cover numbers are unchanged if partitions are required.
Height and width of a nonempty finite poset
Definition
Let be a nonempty finite poset. Its height is
and its width is
Here and the cardinalities below are finite cardinalities (The cardinality of a finite set).
The maxima exist. A chain is a subset of whose elements are pairwise comparable and an antichain one whose distinct elements are pairwise incomparable (Chain in a poset, Antichains, chain covers, and antichain covers of a poset); each is a subset of , hence finite with cardinality at most by A subset of a finite set is finite, with , and equality holds if and only if . The possible cardinalities therefore form nonempty subsets of the finite set — the empty subset is vacuously both a chain and an antichain, so occurs, and every singleton is both, so some cardinality occurs. A nonempty finite set of natural numbers has a greatest member, as follows from The well-ordering principle by applying leastness to the corresponding differences from . Thus and are natural numbers with .
The empty poset is excluded so that and are at least : on the empty poset the only chain and the only antichain are empty, so both maxima would be and every statement below with a nonzero lower bound would need a separate convention.
Graded poset, rank function, and rank levels
Definition
Let be a finite poset. An element is minimal if no element is strictly below it, the dual of the maximal-element notion (Maximal element and greatest element). An element covers if and there is no with . A rank function is a map such that every minimal element has rank and
whenever covers . A poset admitting a rank function is graded. Its rank- level is
The Boolean lattice of subsets of a finite set and its rank levels
Definition
For a finite set , the Boolean lattice is the finite power set ( for finite ) ordered by inclusion. Its rank function is
and its rank- level is
(The set of -element subsets and the binomial coefficient ). Indeed, covers exactly when for one , so a cover increases cardinality by one. The unique minimal element is , of rank , and hence is graded (Graded poset, rank function, and rank levels).
If , then the rank- level has cardinality . The meet and join in this inclusion order are intersection and union, respectively.
Lattices, distributive lattices, and order ideals
Definition
A lattice is a poset in which every pair has a greatest lower bound, its meet , and a least upper bound, its join . A lattice is distributive when, for all ,
and
Let be a poset. An order ideal, or down-set, is a subset such that and imply . The set of all order ideals of , ordered by inclusion, is denoted . Both and are order ideals.
A lattice isomorphism is a bijection preserving meets and joins. Such a map also preserves and reflects the order, since is equivalent to .
Join-irreducible elements of a nonempty finite lattice
Definition
Let be a nonempty finite lattice. Its least element, whose existence is proved in A finite lattice has a bottom and a top, and every element is the join of the join-irreducible elements below it ↗, is denoted . An element is join-irreducible if and
for all . The set of join-irreducible elements, with the order inherited from , is denoted .
An element is join-prime if
Join-prime implies join-irreducible whenever . In a distributive lattice the converse holds for join-irreducible elements.
The lower and upper shadows of a uniform set family
Definition
Let be a finite set and let be a -uniform family (The set of -element subsets and the binomial coefficient ). Its lower shadow is
when , and when . Its upper shadow is
If , the upper shadow is empty. Both shadows consist of the immediate neighbours of one rank below or above it in the Boolean lattice.
Intersecting uniform families of finite sets
Definition
Let be a finite set. A family (The set of -element subsets and the binomial coefficient ) is intersecting if
for every . For and a fixed , the star centred at is
Every star is intersecting, since all its members contain its centre.
Sunflowers, petals, and their common core
Definition
Let with . Distinct finite sets form an -petal sunflower if there is a set such that
The set is the core, the sets are the flowers, and the pairwise disjoint sets are the petals. Equivalently, form a sunflower precisely when their pairwise intersections are all equal.
A sunflower is -uniform when every flower has cardinality . The core may be empty; in that case the flowers themselves are pairwise disjoint.
Mirsky's theorem: the minimum number of antichains covering a finite poset equals its height
Statement
Let be a nonempty finite poset of height . Then can be covered by antichains, and no cover by fewer antichains exists. Thus the minimum number of antichains in an antichain cover of equals .
Facts & Assumptions
Given: A nonempty finite poset with height .
A chain is a subset of pairwise comparable elements; an antichain is a subset of pairwise incomparable elements; and an antichain cover has union (Chain in a poset, Antichains, chain covers, and antichain covers of a poset).
The height is the maximum cardinality of a chain in (Height and width of a nonempty finite poset).
Every nonempty subset of has a least element (The well-ordering principle); equivalently, every nonempty finite bounded collection of natural numbers has a greatest element.
Proof
For each , let be the greatest cardinality of a chain whose largest element is . Such a chain exists, since is one, and the greatest cardinality exists because the possible values form a nonempty finite subset of .
Let be a chain of cardinality , which exists by [F2]. Every antichain contains at most one element of , so any antichain cover of needs at least members to cover the elements of .
If , then appending to a chain of cardinality ending at gives a chain ending at , so .
For put . Each is an antichain, since comparable distinct elements have different -values by step 2.1.
Every belongs to exactly one , and by the definition of height, so cover .
Step 4.1 gives an antichain cover with members and step 1.2 rules out every smaller one. Hence the minimum antichain-cover number is .
A maximal antichain splits a finite poset into its down-set and up-set with the antichain as their intersection
Statement
Let be a finite poset and let be a maximal antichain. Define
Then and . Both sets carry the order induced from .
Facts & Assumptions
Given: A finite poset , a maximal antichain , and the subsets and in the Statement.
An antichain has pairwise incomparable distinct elements and is maximal when no strictly larger antichain contains it (Antichains, chain covers, and antichain covers of a poset).
A partial order is reflexive, antisymmetric, and transitive (Partial order and partially ordered set).
Proof
If were incomparable with every , then would be a larger antichain. Maximality therefore gives an comparable with .
Let . There are with , hence by transitivity. Since is an antichain, , and antisymmetry applied to gives .
For the comparable pair from step 1.1, either and , or and . Every member of lies in both sets by reflexivity, so .
Conversely, every satisfies , so . Together with step 1.2 this gives .
Steps 2.1 and 2.2 establish the asserted union and intersection; restricting the order of to either subset again gives a partial order.
The down-set and up-set chain covers from a suitable maximum antichain splice to a width-sized chain cover
Statement
Let be a nonempty finite poset of width , and let be a maximum antichain that is neither the set of all minimal elements nor the set of all maximal elements. Form and as in A maximal antichain splits a finite poset into its down-set and up-set with the antichain as their intersection. Then and are nonempty proper induced subposets of , both have width , and both have cardinality strictly smaller than . If each has a chain cover with as many chains as its width, then those covers splice along to give a chain cover of with exactly chains.
Facts & Assumptions
Given: A nonempty finite poset of width , a maximum antichain satisfying the Statement, and minimum-size chain covers of and .
For the down-set and up-set determined by a maximal antichain, and (A maximal antichain splits a finite poset into its down-set and up-set with the antichain as their intersection).
The width is the maximum cardinality of an antichain (Height and width of a nonempty finite poset).
Every subset of a finite set is finite, and equality of cardinalities for a subset forces equality of the sets (A subset of a finite set is finite, with , and equality holds if and only if ).
A partial order is transitive: implies (Partial order and partially ordered set).
Proof
The antichain has cardinality and lies in both and . Since every antichain of either induced subposet is also an antichain of , both and have width exactly .
Both induced subposets are nonempty because they contain . They are proper subsets of : indeed, would force to be exactly the set of maximal elements, since every maximal element of must then lie in and no can have an element strictly above it. Dually, would force to be exactly the set of minimal elements. By finiteness, each therefore has cardinality strictly smaller than .
By the hypothesis and step 1.1, choose chain covers of and of , indexed so that . Such indexing is possible because each cover has chains, each chain contains at most one member of , and all members of must be covered.
Fix . If and , then for some , so , contradicting that is an antichain. Hence every satisfies . Dually, every satisfies . Thus by transitivity, so is a chain.
The chains cover . Thus they form the required width-sized chain cover of .
Dilworth's theorem: the minimum number of chains covering a finite poset equals its width
Statement
Let be a nonempty finite poset of width . Then can be covered by chains, and no cover by fewer chains exists. Thus the minimum number of chains in a chain cover of equals .
Facts & Assumptions
Given: A nonempty finite poset .
The width is the maximum cardinality of an antichain in (Height and width of a nonempty finite poset).
A suitable non-boundary maximum antichain lets chain covers of its down-set and up-set splice into a width-sized chain cover (The down-set and up-set chain covers from a suitable maximum antichain splice to a width-sized chain cover).
The principle of induction on (The principle of mathematical induction).
Proof
For , let assert that every nonempty poset of cardinality at most has a chain cover with as many members as its width. The assertion holds because a nonempty poset of cardinality at most is a one-element chain of width .
Assume , and let be a poset of cardinality and width . Proving the required cover for this will prove , since posets of cardinality at most are already covered by the induction hypothesis.
Every chain contains at most one member of an antichain of cardinality , so every chain cover of has at least members.
If there exists a maximum antichain that is neither the set of all minimal elements nor the set of all maximal elements, choose such an . By [L1], the induced subposets and are nonempty, have width , and have cardinality at most . The induction hypothesis gives each a chain cover of size its width, and [L1] splices these into a chain cover of with chains.
Suppose instead that every maximum antichain is the set of all minimal elements or the set of all maximal elements. Extend any element downward and upward, which terminates because is finite, to obtain a maximal chain containing a minimal and a maximal element.
Put . If is empty, then is one chain and . If is nonempty, then : otherwise would contain an antichain of cardinality , making a maximum antichain of disjoint from ; but every such antichain is, by the present case, all minimal elements or all maximal elements, and contains an element of each kind.
When is nonempty it has cardinality at most , so the induction hypothesis covers it by chains. Adding the chain gives a cover of by at most chains; it cannot use fewer, because a maximum antichain of cardinality meets each covering chain in at most one element.
Steps 2.1 and 4.1 prove in the two exhaustive cases. Thus [L3] proves for every , and hence gives a width-sized chain cover for the original finite poset. Step 1.3 proves minimality, so the minimum chain-cover number equals the width.
The Erdős-Szekeres monotone subsequence theorem follows by applying Mirsky's theorem to the index-value poset
Statement
Let be natural numbers. Every pairwise distinct finite list of reals of length has a strictly increasing sublist of length or a strictly decreasing sublist of length .
Facts & Assumptions
Given: Natural numbers and a pairwise distinct list of reals with .
A sublist is selected by strictly increasing indices; it is strictly increasing, respectively decreasing, when its values strictly increase, respectively decrease (A finite list of reals, and its strictly increasing and strictly decreasing sublists).
A partial order is reflexive, antisymmetric, and transitive (Partial order and partially ordered set).
Mirsky's theorem says that a nonempty finite poset of height can be covered by antichains (Mirsky's theorem: the minimum number of antichains covering a finite poset equals its height).
If is a function between finite sets and every fibre has at most elements, then (If then every has a fibre with more than elements, and for nonempty some fibre has at least elements, by contraposition).
Proof
If or , any one-term sublist has the required kind, so assume .
On the index set define when and . The relation is reflexive and transitive componentwise, while forces , so it is a partial order. Its chains, read in increasing index order, give strictly increasing sublists because the values are pairwise distinct.
Suppose there is no strictly increasing sublist of length . Then the index-value poset has height at most , so [L1] covers its indices by at most antichains. After ordering the covering antichains and removing from each one the indices already assigned to an earlier one, they form a partition into at most antichains.
In an antichain of the index-value poset, increasing the indices strictly decreases the corresponding values: if then would make , while equality is excluded. Hence, if there is no strictly decreasing sublist of length , every such antichain has at most members.
Under the simultaneous absence of both required sublists, map each index to the part containing it in the partition from step 2.1. There are at most parts, and step 2.2 says that every fibre has at most elements. Thus [L2] gives , contradicting .
Therefore at least one of the two sublists exists: a strictly increasing one of length , or a strictly decreasing one of length .
The Boolean lattice on an -element set has maximal chains, and exactly contain a fixed -set
Statement
Let be an -element set. The Boolean lattice has exactly maximal chains. If has cardinality , then exactly maximal chains contain .
Facts & Assumptions
Given: A finite set with and a subset with .
The Boolean lattice is ordered by inclusion, with rank ; a chain is a pairwise comparable subset, and a maximal chain is a chain contained in no larger chain (The Boolean lattice of subsets of a finite set and its rank levels, Chain in a poset).
A finite -element set has exactly bijections from any other -element set (A finite set with has exactly bijections onto itself, and bijections onto any set of the same cardinality, The factorial and the falling factorial , defined by recursion in ).
Independent finite choices multiply their cardinalities (The product rule: , and ).
Proof
Every ordering of determines the maximal chain .
Conversely, a maximal chain contains exactly one set of each rank from to , and the unique element added between consecutive ranks recovers an ordering of . Thus the correspondence in step 1.1 is bijective.
A chain from an ordering contains exactly when its first entries are the elements of . There are orders for those entries and orders for the remaining entries, independently.
By [L1], there are orderings of , so steps 1.1 and 2.1 give exactly maximal chains.
The product rule therefore gives exactly maximal chains through . Summing this count over the possible agrees with the total by [L3].
Lubell-Yamamoto-Meshalkin inequality for antichains in a Boolean lattice
Statement
Let be an -element set and let be an antichain. Then
Facts & Assumptions
Given: An -element set and an antichain in its Boolean lattice.
There are maximal chains in , and a fixed -set belongs to exactly of them (The Boolean lattice on an -element set has maximal chains, and exactly contain a fixed -set).
An antichain contains no two comparable distinct elements (Antichains, chain covers, and antichain covers of a poset).
Finite sums may be indexed by an arbitrary finite set and reindexed without changing their value (The sum over a finite index set, and its product form).
Proof
Count pairs where and is a maximal chain containing . By [L1], the number is .
A maximal chain contains at most one member of , because all members of a chain are comparable. Hence the number of pairs is at most the number of maximal chains.
Combining steps 1.1 and 1.2 and dividing by the positive number gives .
By [L2], each summand in step 2.1 equals . Substitution yields the asserted LYM inequality.
Local LYM inequality comparing a uniform family with its upper shadow
Statement
Let be an -element set, let , and let . Then
Equality holds exactly when every contains all of its -element subsets in .
Facts & Assumptions
Given: An -element set , a natural , a family , and its upper shadow .
The upper shadow consists of the -sets containing at least one member of (The lower and upper shadows of a uniform set family).
A disjoint union of finite sets has cardinality the sum of the cardinalities; cardinality is transported by a bijection; and if then (The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition, The cardinality of a finite set, Injection, surjection, bijection, Order on the natural numbers, Addition is cancellative).
The binomial closed formula implies for ( for ; hence , the quotient is a natural number, and , The set of -element subsets and the binomial coefficient ).
Proof
Fix . Since is the disjoint union of and , [L1] gives . The map is a bijection from to the -subsets of properly containing : its inverse sends such a set to its unique element outside . Thus every has exactly one-element extensions.
Fix . The map is a bijection from to its -element subsets, with inverse sending a -subset to its unique omitted element. Hence has exactly such subsets.
Count pairs with , , and . By step 1.1, there are pairs.
Every second coordinate lies in , and step 1.2 shows that a fixed contains at most members of . Thus the same number of pairs is at most .
Steps 2.1 and 2.2 give . Using [L2] and dividing by the positive binomial coefficients gives the stated normalized inequality.
Equality in step 2.2 holds precisely when every contributes all of its possible -subsets, which is precisely the equality condition in the Statement.
Therefore the normalized local LYM inequality holds, with the asserted equality characterization.
Remarks
Applying the same result to complements gives the equivalent lower-shadow form
for .
The binomial coefficients are symmetric and increase to the middle level before decreasing
Statement
For every and ,
For ,
Consequently the binomial coefficients increase up to the middle rank and decrease after it. Their maximum is attained only at when is even, and at the two ranks and when is odd.
Facts & Assumptions
Given: Natural numbers and with .
is the number of -element subsets of an -element set (The set of -element subsets and the binomial coefficient ).
The binomial closed formula gives symmetry and, for , the identity ( for ; hence , the quotient is a natural number, and ).
The product rule licenses the usual double count of a set together with a chosen element outside or inside it (The product rule: , and ).
Proof
The symmetry is the symmetry clause of [L1].
For , count pairs with and by first choosing , or by first choosing the -set and then the deleted element. This gives , in agreement with [L1].
Since both and are positive, step 1.2 shows that exactly when , with equality exactly when .
Reading step 2.1 as increases gives strict increase before the middle, equality between the two middle ranks only when is odd, and strict decrease afterward; symmetry from step 1.1 identifies the stated maximizing ranks.
Sperner's theorem and its equality cases: a largest antichain is a complete middle level
Statement
Let be an -element set. Every antichain satisfies
Equality holds exactly for a complete middle level. If is even, the unique maximum antichain is . If is odd, the maximum antichains are exactly the two complete middle levels and .
Facts & Assumptions
Given: An -element set and an antichain .
The LYM inequality gives (Lubell-Yamamoto-Meshalkin inequality for antichains in a Boolean lattice).
The binomial coefficients have their maximum at the middle rank, uniquely for even and at the two middle ranks for odd (The binomial coefficients are symmetric and increase to the middle level before decreasing).
For and , local LYM gives , with equality exactly when every set in the upper shadow contains all its -subsets in ; the hypothesis is needed, since at the right-hand denominator is zero (Local LYM inequality comparing a uniform family with its upper shadow).
The rank- level of the Boolean lattice is and has cardinality (The Boolean lattice of subsets of a finite set and its rank levels, The set of -element subsets and the binomial coefficient ).
Proof
Put . By [L2], every , so [L1] gives . Hence .
If equality holds, then every member of lies on a rank whose binomial coefficient equals ; otherwise the first inequality in step 1.1 would be strict.
If is even, [L2] leaves only rank . Thus , and equality of cardinalities forces .
Suppose is odd. Write and . Since is an antichain, is disjoint from . The two middle levels both have cardinality , and [L3] gives . Therefore .
Equality in step 3.2 forces and . By the equality clause of [L3], whenever , , and , the set also lies in : it is a -subset of .
Any two -subsets can be joined by repeatedly replacing an element not in the target by an element of the target not yet present. Thus the closure in step 4.1 implies that is either empty or all of . In the first case equality forces ; in the second, and equality forces .
Complete levels are antichains and the middle ones have cardinality . Steps 3.1 and 5.1 therefore give all equality cases and complete the proof.
A symmetric chain decomposition of one Boolean lattice lifts to the next Boolean lattice
Statement
A saturated chain in is symmetric if its least and greatest ranks sum to . If has a partition into symmetric saturated chains and , then also has such a partition.
Facts & Assumptions
Given: A finite set with , an element , and a symmetric chain decomposition of .
The rank of a subset in is its cardinality, and adjoining raises rank by one (The Boolean lattice of subsets of a finite set and its rank levels).
Proof
Take one chain of the given decomposition, where the subscripts are ranks and .
Construct the chain in . Its endpoint ranks are and , whose sum is .
If , also construct . Its endpoint ranks are and , whose sum is ; when , this second chain is empty and is omitted.
The chains and partition the two copies and : the top set with goes to , and every other set with goes to .
Applying this construction independently to every chain of the original partition covers each subset of exactly once and produces only symmetric chains. Hence it is a symmetric chain decomposition of .
Every finite Boolean lattice has a symmetric chain decomposition
Statement
For every finite set , the Boolean lattice can be partitioned into saturated chains whose least and greatest ranks sum to .
Facts & Assumptions
Given: A finite set .
A symmetric chain decomposition of lifts to one of whenever (A symmetric chain decomposition of one Boolean lattice lifts to the next Boolean lattice).
The principle of induction on (The principle of mathematical induction).
Proof
For , the Boolean lattice consists only of ; the one-term chain has endpoint ranks and , so it is symmetric.
Assume every Boolean lattice on an -element set has a symmetric chain decomposition, and let have elements. Choose and put , so .
The induction hypothesis gives a symmetric chain decomposition of , and [L1] lifts it to a symmetric chain decomposition of .
The base case and induction step prove the assertion for every finite cardinality, hence for every finite set .
A symmetric chain decomposition gives a second proof of Sperner's bound
Statement
If has elements, every antichain in has cardinality at most .
Facts & Assumptions
Given: An -element set and an antichain in .
The Boolean lattice has a partition into symmetric chains (Every finite Boolean lattice has a symmetric chain decomposition).
An antichain contains at most one element from any chain (Antichains, chain covers, and antichain covers of a poset).
Rank consists of the -subsets of and has cardinality (The Boolean lattice of subsets of a finite set and its rank levels, The set of -element subsets and the binomial coefficient ).
Proof
Fix the symmetric saturated-chain decomposition supplied by [L1]. Every chain in it meets rank exactly once, because its consecutive ranks run from some through .
Consequently the number of chains in the decomposition equals the cardinality of rank , hence equals .
By [F1], the antichain contains at most one member from each chain. Its cardinality is therefore at most the number in step 2.1, which is Sperner's bound.
At most cyclic intervals of length in a cyclic order are pairwise intersecting when the ground-set size is at least
Statement
Let and , and place an -element set in a cyclic order. Among its cyclic intervals of length , every pairwise intersecting family has at most members.
Facts & Assumptions
Given: Natural numbers and , a cyclic order , and a pairwise intersecting family of its length- cyclic intervals, with indices read modulo .
A family is intersecting when every two of its members have nonempty intersection (Intersecting uniform families of finite sets).
Proof
If is empty there is nothing to prove. Otherwise rotate the notation so that belongs to .
For each , the interval starting at and the interval starting at are disjoint: the latter ends at and the former begins at , and together they use two adjacent blocks of positions without wrapping into each other because .
Every other length- interval in must intersect . Since , its starting position is therefore one of or one of .
Thus contains at most one interval from each of the disjoint pairs in step 1.2, in addition to . Hence .
Erdős-Ko-Rado theorem: for and , an intersecting family of -subsets of an -set has size at most , and a star attains the bound
Statement
Let be an -element set, where and . If is intersecting, then
For every fixed , the star is intersecting and has cardinality , so the bound is attained. No uniqueness of extremal families is asserted.
Facts & Assumptions
Given: An -element set , natural numbers and , and an intersecting family .
In any cyclic order of , at most length- cyclic intervals can belong to a pairwise intersecting family (At most cyclic intervals of length in a cyclic order are pairwise intersecting when the ground-set size is at least ).
A -uniform family is intersecting when every two members meet, and a star consists of the -sets through one fixed point (Intersecting uniform families of finite sets, The set of -element subsets and the binomial coefficient ).
An -element set has orderings, and independent finite choices multiply (A finite set with has exactly bijections onto itself, and bijections onto any set of the same cardinality, The factorial and the falling factorial , defined by recursion in , The product rule: , and ).
The binomial closed formula gives ( for ; hence , the quotient is a natural number, and ).
Proof
A cyclic order of is a linear ordering modulo cyclic rotation. There are cyclic orders: fix one element in the first position and order the remaining elements.
Fix . Exactly cyclic orders make a cyclic interval: arrange the elements of within one consecutive block and arrange the elements of in the complementary block.
For a fixed , deleting is a bijection from the star centred at to the -subsets of . The star is intersecting because all its members contain , and its size is .
Count pairs where is a cyclic order and is a length- interval in . By step 1.2 there are pairs.
By [L1], each of the cyclic orders occurs in at most pairs. Hence .
Cancelling the positive factor in step 3.1 and using [L3] gives .
Step 4.1 proves the upper bound and step 1.3 exhibits an intersecting family attaining it.
Remarks
The hypothesis is essential. At the boundary , choosing exactly one set from each complementary pair already gives many extremal families, so the theorem deliberately does not claim that stars are the only extremizers.
A maximal pairwise disjoint subfamily either supplies a sunflower or gives a small transversal for the whole uniform family
Statement
Let , let be a finite family of distinct -element sets, and let . If is maximal among pairwise disjoint subfamilies, then either , in which case contains an -petal sunflower with empty core, or
meets every member of and has cardinality at most .
Facts & Assumptions
Given: A natural , a finite family of distinct -sets, a natural , and a maximal pairwise disjoint subfamily .
Pairwise disjoint distinct sets form a sunflower with empty core (Sunflowers, petals, and their common core).
Subsets of finite sets are finite, and a finite disjoint union has cardinality equal to the sum of the cardinalities of its members (The cardinality of a finite set, A subset of a finite set is finite, with , and equality holds if and only if , The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition).
Proof
If , any members of are pairwise disjoint and therefore form an -petal sunflower with empty core.
Suppose and put . Since the members of are disjoint -sets, .
Every meets . Otherwise would be disjoint from every , so would be a larger pairwise disjoint subfamily, contradicting maximality.
Thus the first case gives an empty-core sunflower, while the second gives a transversal of size at most meeting every member of .
Erdős-Rado sunflower lemma: more than distinct -sets contain an -petal sunflower
Statement
Let and . Every finite family of distinct -element sets satisfying
contains an -petal sunflower.
Facts & Assumptions
Given: Natural numbers and , and a finite family of distinct -sets with .
For , a maximal disjoint subfamily either contains members, forming an empty-core sunflower, or its union is a transversal of size at most (A maximal pairwise disjoint subfamily either supplies a sunflower or gives a small transversal for the whole uniform family).
A sunflower is a family of distinct sets with one common pairwise intersection (Sunflowers, petals, and their common core).
If is a function between finite sets and , then some fibre has more than elements (If then every has a fibre with more than elements, and for nonempty some fibre has at least elements).
and for (The factorial and the falling factorial , defined by recursion in ). Natural powers satisfy and (Exponentiation of natural numbers, , and its agreement with the integer power in ); induction on is valid (The principle of mathematical induction).
Proof
For , there is only one -element set, so no family of distinct -sets satisfies . The implication is therefore true.
Assume the assertion for -element sets, where , and let satisfy the displayed bound for .
Choose a maximal pairwise disjoint subfamily . If , [L1] already supplies the required sunflower. Otherwise meets every member of and .
In the second case, let and project to . Every contributes at least one incidence, so . Set . Since and , we have . By [L2], some belongs to more than members of .
Remove from those members. The resulting sets are distinct -sets, so the induction hypothesis gives of them forming a sunflower with core . Restoring gives original members whose pairwise intersections are all .
The first case in step 2.1 and the construction in step 4.1 cover all possibilities, so contains an -petal sunflower.
A finite lattice has a bottom and a top, and every element is the join of the join-irreducible elements below it
Statement
Every nonempty finite lattice has a least element and a greatest element . Moreover, every is the join of the join-irreducible elements . For this is the empty join.
Facts & Assumptions
Given: A nonempty finite lattice .
Every pair in a lattice has a meet and a join (Lattices, distributive lattices, and order ideals).
A join-irreducible element is non-bottom and cannot be written as a join of two strictly smaller elements (Join-irreducible elements of a nonempty finite lattice).
Every nonempty subset of has a least element; a subset of a finite set is finite, and a proper subset has strictly smaller cardinality (The well-ordering principle, A subset of a finite set is finite, with , and equality holds if and only if ).
Proof
Since is nonempty and finite, [L1] lets us choose for which the principal ideal has least cardinality. If , then is a proper subset of and [L1] makes its cardinality strictly smaller, contradicting that choice, so is minimal. If is another minimal element, then , so minimality gives . Thus the minimal element is unique and lies below every , because forces . Call it .
Dually, choosing an element whose principal filter has least cardinality gives a unique maximal element , and every lies below it.
We prove the decomposition of by induction on the cardinality of its principal ideal . For , the empty join is .
Assume every element with a smaller principal ideal is the join of the join-irreducibles below it.
If is join-irreducible, then itself is the required one-term join.
If is not join-irreducible, there are with . The principal ideals of and are proper subsets of , so [L1] gives each strictly smaller cardinality and the induction hypothesis writes each as a join of join-irreducibles below it. Joining those two finite families writes as a join of join-irreducibles below .
In every case, steps 2.1, 4.1 and 4.2 give a finite subfamily of the join-irreducibles below whose join is . Let be the set of all join-irreducibles below . Since every member of is at most , its finite join is at most ; since , that join is also at least . Hence is the join of all members of .
Step 5.1 proves the decomposition for every , while steps 1.1 and 1.2 provide the bottom and top.
Every join-irreducible element of a distributive lattice is join-prime
Statement
Let be a finite distributive lattice and let be join-irreducible. If , then or . Thus is join-prime.
Facts & Assumptions
Given: A finite distributive lattice , a join-irreducible , and elements with .
In a lattice, exactly when ; distributivity gives (Lattices, distributive lattices, and order ideals).
If and is join-irreducible, then or (Join-irreducible elements of a nonempty finite lattice).
Proof
Since , one has . Distributivity rewrites this as .
Join-irreducibility applied to step 1.1 gives or . These equalities are respectively equivalent to or .
Hence every join-irreducible element of a distributive lattice is join-prime.
The order ideals of a finite poset form a distributive lattice under union and intersection
Statement
For a finite poset , the order ideals form a finite distributive lattice under inclusion. Its meet is intersection, its join is union, its bottom is , and its top is .
Facts & Assumptions
Given: A finite poset and order ideals .
An order ideal is downward closed, and a distributive lattice satisfies the two distributive identities for meet and join (Lattices, distributive lattices, and order ideals).
The power set of a finite set is finite ( for finite ), and every subset of a finite set is finite (A subset of a finite set is finite, with , and equality holds if and only if ).
Proof
The sets and are order ideals: if belongs to the intersection or union and , downward closure in the relevant ideal puts in the same intersection or union.
Set union and intersection satisfy and element by element.
In the inclusion order, is the greatest lower bound of and is their least upper bound. Also and are respectively the least and greatest order ideals.
Thus is a distributive lattice with the asserted operations and bounds. It is finite because it is a subcollection of the finite power set of .
Birkhoff representation theorem: every finite distributive lattice is isomorphic to the lattice of order ideals of its join-irreducible poset
Statement
Let be a nonempty finite distributive lattice and let be its poset of join-irreducible elements. The map
is a lattice isomorphism. Its inverse sends an order ideal to , with the empty join equal to .
Facts & Assumptions
Given: A nonempty finite distributive lattice , its join-irreducible poset , and the map in the Statement.
Every is the join of the join-irreducible elements below it, and has a bottom (A finite lattice has a bottom and a top, and every element is the join of the join-irreducible elements below it).
Every join-irreducible element of a distributive lattice is join-prime (Every join-irreducible element of a distributive lattice is join-prime).
The order ideals of a finite poset form a distributive lattice under union and intersection (The order ideals of a finite poset form a distributive lattice under union and intersection).
Every subset of a finite set is finite (A subset of a finite set is finite, with , and equality holds if and only if ).
A bijection is a map that is both injective and surjective (Injection, surjection, bijection).
Proof
The poset is finite because it is a subset of . For every , the set is an order ideal of : if and satisfies , then . Thus is well defined.
For an order ideal , construct , taking . Then .
For , one has . Also , because a join-irreducible satisfies exactly when or by [L2].
The map is injective. If , then [L1] writes both and as the join of the same set of join-irreducibles, so .
Conversely, suppose . If , then , forcing , contrary to join-irreducibility. Thus is nonempty. Repeated application of join-primality [L2] to the finite join gives for some . Since is an order ideal, . Hence .
Step 2.3 proves that is surjective, while step 2.2 proves injectivity. Step 2.1 shows that it preserves meets and joins. Moreover [L1] gives , so is its inverse. Therefore is the asserted lattice isomorphism.
5 · Examples, counterexamples and false statements
False: every maximal antichain in a finite poset has maximum cardinality
Statement
Every maximal antichain in a finite poset has cardinality equal to the width.
Facts & Assumptions
Given: The three-element poset with , , and incomparable.
A maximal antichain is inclusion-maximal, while a maximum antichain has greatest cardinality; the width is the cardinality of a maximum antichain (Antichains, chain covers, and antichain covers of a poset, Height and width of a nonempty finite poset).
Refutation
The singleton is an antichain, and it is maximal because both remaining elements and are comparable with .
The set is an antichain of cardinality , so the width of is at least and is not maximum.
Thus the finite poset has a maximal antichain that is not maximum, refuting the Statement.
False: the Erdős-Ko-Rado bound holds without the hypothesis
Statement
For every , every intersecting family of -subsets of an -element set has cardinality at most .
Facts & Assumptions
Given: A three-element set and the family of all its two-element subsets.
is the cardinality of the family of -subsets of an -element set (The set of -element subsets and the binomial coefficient ).
The Erdős-Ko-Rado theorem gives the star bound only under the hypothesis and (Erdős-Ko-Rado theorem: for and , an intersecting family of -subsets of an -set has size at most , and a star attains the bound).
Refutation
Any two members of intersect, since two disjoint two-element subsets would require at least four elements while . Thus is intersecting.
The family has cardinality , while the claimed bound is .
Hence the proposed bound fails at , , exactly where and the hypothesis of [L1] is absent.
Sources
Standard references
Recommended treatments; not extraction sources.
- M. Keller and W. T. Trotter, Applied Combinatorics, §6.4
- M. Keller and W. T. Trotter, Applied Combinatorics, §6.2
- MIT OpenCourseWare 18.212, Lecture 16: Distributive lattices
- Erdős-Ko-Rado theorem (Wikipedia)
- Sunflower (mathematics) (Wikipedia)
- Symmetric chain decomposition background, Electronic Journal of Combinatorics
- J. Matoušek and J. Vondrák, The Probabilistic Method, pp. 14-15
- Archive of Formal Proofs, Birkhoff's Representation Theorem for Finite Distributive Lattices