All Study Guides Algebraic Combinatorics Unit 7
💁🏽 Algebraic Combinatorics Unit 7 – Partially Ordered Sets & LatticesPartially 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 a a a and b b b in a poset are comparable if either a ≤ b a \leq b a ≤ b or b ≤ a b \leq a b ≤ 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 a a a in the poset, a ≤ a a \leq a a ≤ a
Antisymmetry: If a ≤ b a \leq b a ≤ b and b ≤ a b \leq a b ≤ a , then a = b a = b a = b
Transitivity: If a ≤ b a \leq b a ≤ b and b ≤ c b \leq c b ≤ c , then a ≤ c a \leq c a ≤ 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 a ≤ b a \leq b a ≤ b , then ( a ∨ c ) ∧ b = a ∨ ( c ∧ b ) (a \vee c) \wedge b = a \vee (c \wedge b) ( a ∨ c ) ∧ b = a ∨ ( c ∧ b )
A distributive lattice satisfies the distributive laws: a ∧ ( b ∨ c ) = ( a ∧ b ) ∨ ( a ∧ c ) a \wedge (b \vee c) = (a \wedge b) \vee (a \wedge c) a ∧ ( b ∨ c ) = ( a ∧ b ) ∨ ( a ∧ c ) and a ∨ ( b ∧ c ) = ( a ∨ b ) ∧ ( a ∨ c ) a \vee (b \wedge c) = (a \vee b) \wedge (a \vee c) a ∨ ( b ∧ c ) = ( a ∨ b ) ∧ ( a ∨ 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 ( L 1 , ∧ 1 , ∨ 1 ) (L_1, \wedge_1, \vee_1) ( L 1 , ∧ 1 , ∨ 1 ) and ( L 2 , ∧ 2 , ∨ 2 ) (L_2, \wedge_2, \vee_2) ( L 2 , ∧ 2 , ∨ 2 ) is a lattice on the Cartesian product L 1 × L 2 L_1 \times L_2 L 1 × 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 a a a is an element b b b such that a ∧ b = ⊥ a \wedge b = \bot a ∧ b = ⊥ and a ∨ b = ⊤ a \vee b = \top a ∨ b = ⊤
Lattice Operations and Identities
The meet ( ∧ ) (\wedge) ( ∧ ) and join ( ∨ ) (\vee) ( ∨ ) operations in a lattice are idempotent, commutative, and associative
Absorption laws: a ∧ ( a ∨ b ) = a a \wedge (a \vee b) = a a ∧ ( a ∨ b ) = a and a ∨ ( a ∧ b ) = a a \vee (a \wedge b) = a a ∨ ( a ∧ 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 ∧ ( b ∨ c ) = ( a ∧ b ) ∨ ( a ∧ c ) a \wedge (b \vee c) = (a \wedge b) \vee (a \wedge c) a ∧ ( b ∨ c ) = ( a ∧ b ) ∨ ( a ∧ c )
a ∨ ( b ∧ c ) = ( a ∨ b ) ∧ ( a ∨ c ) a \vee (b \wedge c) = (a \vee b) \wedge (a \vee c) a ∨ ( b ∧ c ) = ( a ∨ b ) ∧ ( a ∨ c )
De Morgan's laws for lattices: ( a ∧ b ) ∗ = a ∗ ∨ b ∗ (a \wedge b)^* = a^* \vee b^* ( a ∧ b ) ∗ = a ∗ ∨ b ∗ and ( a ∨ b ) ∗ = a ∗ ∧ b ∗ (a \vee b)^* = a^* \wedge b^* ( a ∨ b ) ∗ = a ∗ ∧ 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 n n n consists of all divisors of n n n 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 n n n -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 (N 5 N_5 N 5 and M 3 M_3 M 3 )
Free lattices are lattices generated by a set of elements without any additional relations