ConceptComplete

Partially Ordered Sets - Core Definitions

Partially ordered sets (posets) provide a mathematical framework for studying order relations. They appear throughout mathematics, from lattice theory to algebraic topology, and are fundamental to understanding combinatorial structures.

DefinitionPartially Ordered Set (Poset)

A partially ordered set is a pair (P,≀)(P, \leq) where PP is a set and ≀\leq is a binary relation on PP satisfying:

  1. Reflexivity: x≀xx \leq x for all x∈Px \in P
  2. Antisymmetry: if x≀yx \leq y and y≀xy \leq x, then x=yx = y
  3. Transitivity: if x≀yx \leq y and y≀zy \leq z, then x≀zx \leq z

We write x<yx < y if x≀yx \leq y and xβ‰ yx \neq y. Elements x,yx, y are comparable if x≀yx \leq y or y≀xy \leq x; otherwise they are incomparable (written xβˆ₯yx \parallel y).

ExampleCommon Posets
  1. Natural numbers (N,≀)(\mathbb{N}, \leq) with usual ordering (totally ordered)
  2. Divisibility poset (N+,∣)(\mathbb{N}^+, |) where a∣ba | b if aa divides bb
  3. Power set (P(S),βŠ†)(\mathcal{P}(S), \subseteq) ordered by inclusion
  4. Integer partitions ordered by dominance: Ξ»β‰₯ΞΌ\lambda \geq \mu if βˆ‘i=1kΞ»iβ‰₯βˆ‘i=1kΞΌi\sum_{i=1}^k \lambda_i \geq \sum_{i=1}^k \mu_i for all kk
  5. Young's lattice: integer partitions ordered by diagram inclusion
DefinitionSpecial Elements

For a poset (P,≀)(P, \leq) and subset AβŠ†PA \subseteq P:

  • Maximum: m∈Am \in A with a≀ma \leq m for all a∈Aa \in A
  • Minimum: m∈Am \in A with m≀am \leq a for all a∈Aa \in A
  • Maximal: m∈Am \in A with no a∈Aa \in A satisfying m<am < a
  • Minimal: m∈Am \in A with no a∈Aa \in A satisfying a<ma < m
  • Upper bound: u∈Pu \in P with a≀ua \leq u for all a∈Aa \in A
  • Lower bound: l∈Pl \in P with l≀al \leq a for all a∈Aa \in A
  • Supremum (least upper bound): sup⁑A=min⁑{\sup A = \min\{upper bounds of A}A\}
  • Infimum (greatest lower bound): inf⁑A=max⁑{\inf A = \max\{lower bounds of A}A\}
DefinitionChains and Antichains
  • A chain is a totally ordered subset where all elements are pairwise comparable
  • An antichain is a subset where all elements are pairwise incomparable
  • The width of a poset is the maximum size of an antichain
  • The height (or length) is the maximum size of a chain minus 1
ExampleBoolean Lattice

The Boolean lattice Bn=(P({1,2,…,n}),βŠ†)B_n = (\mathcal{P}(\{1,2,\ldots,n\}), \subseteq) has:

  • Size: 2n2^n elements
  • Height: nn (chains from βˆ…\emptyset to {1,…,n}\{1,\ldots,n\})
  • Width: (n⌊n/2βŒ‹)\binom{n}{\lfloor n/2 \rfloor} (Sperner's theorem)
  • Rank function: r(A)=∣A∣r(A) = |A|

The Hasse diagram forms a hypercube graph in nn dimensions.

DefinitionLattice

A lattice is a poset in which every pair of elements x,yx, y has:

  • A join (supremum): x∨y=sup⁑{x,y}x \vee y = \sup\{x, y\}
  • A meet (infimum): x∧y=inf⁑{x,y}x \wedge y = \inf\{x, y\}

A complete lattice has joins and meets for all subsets (not just pairs). Every finite lattice is complete.

Remark

The Hasse diagram is a visual representation of a finite poset where:

  • Elements are drawn as vertices
  • x<yx < y is shown by yy above xx
  • An edge connects xx to yy if x<yx < y and no zz satisfies x<z<yx < z < y (covering relation)

This eliminates reflexive loops and transitive edges for clarity.

DefinitionOrder-Preserving Maps

A function f:P→Qf: P \to Q between posets is:

  • Order-preserving (monotone) if x≀Pyβ€…β€ŠβŸΉβ€…β€Šf(x)≀Qf(y)x \leq_P y \implies f(x) \leq_Q f(y)
  • Order-embedding if x≀Pyβ€…β€ŠβŸΊβ€…β€Šf(x)≀Qf(y)x \leq_P y \iff f(x) \leq_Q f(y) (injective)
  • Order-isomorphism if it's a bijective order-embedding

An automorphism is an order-isomorphism from a poset to itself.

ExampleDilworth's Theorem Application

For the divisibility poset on {1,2,…,12}\{1, 2, \ldots, 12\}:

  • Primes {2,3,5,7,11}\{2, 3, 5, 7, 11\} form an antichain of size 5
  • A chain might be 1<2<4<121 < 2 < 4 < 12
  • Maximum antichain size = width
  • Minimum chain decomposition covers all elements

Dilworth's theorem states: width = minimum number of chains needed to cover the poset.

Posets unify diverse mathematical structures and provide powerful tools for analyzing order relationships in combinatorics, algebra, and computer science.