Algebraic Combinatorics

💁🏽Algebraic Combinatorics Unit 7 – Partially Ordered Sets & Lattices

Partially ordered sets and lattices form the backbone of order theory in combinatorics. These structures organize elements based on specific relationships, allowing us to analyze and compare objects in a systematic way. From simple chains to complex Boolean lattices, these concepts provide powerful tools for modeling and solving problems. Lattices, a special type of partially ordered set, offer additional structure through meet and join operations. These operations enable us to find common lower and upper bounds, leading to applications in various fields. Understanding lattice properties, such as distributivity and modularity, helps us navigate complex relationships and solve intricate combinatorial problems.

Key Concepts and Definitions

  • Partially ordered sets (posets) consist of a set together with a binary relation that is reflexive, antisymmetric, and transitive
  • The binary relation in a poset is often denoted as \leq and read as "less than or equal to" or "precedes"
  • Two elements aa and bb in a poset are comparable if either aba \leq b or bab \leq a; otherwise, they are incomparable
  • A total order is a poset in which every pair of elements is comparable (linear order)
  • A strict partial order is irreflexive and transitive, often denoted as <<
    • Strict partial orders can be obtained from partial orders by removing reflexivity
  • An antichain is a subset of a poset in which no two elements are comparable
  • A chain is a totally ordered subset of a poset (linearly ordered set)

Fundamental Properties of Posets

  • Reflexivity: For all aa in the poset, aaa \leq a
  • Antisymmetry: If aba \leq b and bab \leq a, then a=ba = b
  • Transitivity: If aba \leq b and bcb \leq c, then aca \leq c
  • Hasse diagrams visually represent posets by drawing elements as vertices and relations as edges, omitting edges implied by transitivity
  • The height of a poset is the maximum length of a chain in the poset
  • The width of a poset is the maximum size of an antichain in the poset
  • A poset is bounded if it has a unique minimal element (bottom) and a unique maximal element (top)

Types of Partially Ordered Sets

  • A lattice is a poset in which every pair of elements has a least upper bound (join) and a greatest lower bound (meet)
  • A complete lattice is a lattice in which every subset has a least upper bound and a greatest lower bound
  • A modular lattice satisfies the modular law: if aba \leq b, then (ac)b=a(cb)(a \vee c) \wedge b = a \vee (c \wedge b)
  • A distributive lattice satisfies the distributive laws: a(bc)=(ab)(ac)a \wedge (b \vee c) = (a \wedge b) \vee (a \wedge c) and a(bc)=(ab)(ac)a \vee (b \wedge c) = (a \vee b) \wedge (a \vee c)
    • Every distributive lattice is modular, but not every modular lattice is distributive
  • A Boolean lattice is a distributive lattice with a complement for each element (power set of a set ordered by inclusion)
  • A well-ordered set is a total order in which every non-empty subset has a least element (natural numbers)

Lattice Theory Basics

  • A lattice can be defined algebraically as a set with two binary operations, meet ()(\wedge) and join ()(\vee), satisfying the lattice axioms
  • The meet ()(\wedge) of two elements is their greatest lower bound, and the join ()(\vee) is their least upper bound
  • Lattice axioms include commutativity, associativity, idempotence, and absorption laws for meet and join
  • A sublattice is a subset of a lattice that is closed under meet and join operations
  • A lattice homomorphism is a function between lattices that preserves meet and join operations
  • The direct product of two lattices (L1,1,1)(L_1, \wedge_1, \vee_1) and (L2,2,2)(L_2, \wedge_2, \vee_2) is a lattice on the Cartesian product L1×L2L_1 \times L_2 with operations defined componentwise

Special Elements in Lattices

  • The top element ()(\top) of a lattice is the unique element that is greater than or equal to all other elements
  • The bottom element ()(\bot) of a lattice is the unique element that is less than or equal to all other elements
  • An atom is an element that covers the bottom element (directly above \bot in the Hasse diagram)
  • A coatom is an element that is covered by the top element (directly below \top in the Hasse diagram)
  • A join-irreducible element cannot be expressed as the join of two other elements
  • A meet-irreducible element cannot be expressed as the meet of two other elements
  • A complement of an element aa is an element bb such that ab=a \wedge b = \bot and ab=a \vee b = \top

Lattice Operations and Identities

  • The meet ()(\wedge) and join ()(\vee) operations in a lattice are idempotent, commutative, and associative
  • Absorption laws: a(ab)=aa \wedge (a \vee b) = a and a(ab)=aa \vee (a \wedge b) = a
  • Duality principle: Every identity in a lattice has a dual identity obtained by exchanging meet and join operations and reversing the order
  • In a distributive lattice, the meet and join operations distribute over each other
    • a(bc)=(ab)(ac)a \wedge (b \vee c) = (a \wedge b) \vee (a \wedge c)
    • a(bc)=(ab)(ac)a \vee (b \wedge c) = (a \vee b) \wedge (a \vee c)
  • De Morgan's laws for lattices: (ab)=ab(a \wedge b)^* = a^* \vee b^* and (ab)=ab(a \vee b)^* = a^* \wedge b^*, where ^* denotes the complement operation

Applications in Combinatorics

  • The power set of a set, ordered by inclusion, forms a Boolean lattice (hypercube)
  • The divisor lattice of a positive integer nn consists of all divisors of nn ordered by divisibility
  • The partition lattice of a set consists of all partitions of the set ordered by refinement
  • The subgroup lattice of a group consists of all subgroups ordered by inclusion
  • Möbius inversion formula relates the sum of a function over a poset to the sum of another function over the same poset
  • The Dedekind number counts the number of monotone Boolean functions or the number of antichains in the power set lattice
  • Sperner's theorem bounds the size of a maximum antichain in the Boolean lattice (power set of an nn-element set)

Advanced Topics and Extensions

  • Birkhoff's representation theorem states that every finite distributive lattice is isomorphic to the lattice of down-sets of a finite poset
  • Infinite lattices and complete lattices extend lattice theory to infinite structures
  • Semilattices are partially ordered sets with only a meet operation (meet-semilattice) or only a join operation (join-semilattice)
  • Heyting algebras and Boolean algebras are special types of lattices with additional properties and operations
  • Lattice polynomials are expressions built from variables and lattice operations, used to study identities and varieties of lattices
  • Lattice congruences are equivalence relations on a lattice that are compatible with meet and join operations
  • Modular and distributive lattices can be characterized by the absence of certain forbidden sublattices (N5N_5 and M3M_3)
  • Free lattices are lattices generated by a set of elements without any additional relations


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.