1.2 Properties of partial orders and their representations

3 min readaugust 7, 2024

Partial orders have special elements and relationships that define their structure. Upper and lower bounds, maximal and minimal elements, and greatest and least elements all play crucial roles in understanding how elements relate within a poset.

Posets can be visually represented using Hasse diagrams, which show covering relations between elements. The concept of allows us to reverse order relations, while isomorphisms help identify structurally equivalent posets with different elements.

Bounds and Extrema

Upper and Lower Bounds

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  • of a subset SS of a poset PP is an element uPu \in P such that sus \leq u for all sSs \in S
  • of a subset SS of a poset PP is an element lPl \in P such that lsl \leq s for all sSs \in S
  • A subset may have multiple upper or lower bounds
  • Example: In the poset of natural numbers ordered by , the set {2,3}\{2, 3\} has upper bounds 6 and 12 (among others)
  • Example: In the same poset, the set {6,10,15}\{6, 10, 15\} has lower bounds 1 and 3 (among others)

Maximal, Minimal, Greatest, and Least Elements

  • of a poset PP is an element mPm \in P such that there is no xPx \in P with m<xm < x
    • A poset can have multiple maximal elements
  • of a poset PP is an element nPn \in P such that there is no xPx \in P with x<nx < n
    • A poset can have multiple minimal elements
  • of a poset PP is an element gPg \in P such that xgx \leq g for all xPx \in P
    • A poset can have at most one greatest element
  • of a poset PP is an element lPl \in P such that lxl \leq x for all xPx \in P
    • A poset can have at most one least element
  • Example: In the poset of subsets of {1,2,3}\{1, 2, 3\} ordered by inclusion, {1,2}\{1, 2\} and {1,3}\{1, 3\} are maximal elements, while {1,2,3}\{1, 2, 3\} is the greatest element
  • Example: In the same poset, {1}\{1\}, {2}\{2\}, and {3}\{3\} are minimal elements, while \emptyset is the least element

Poset Structure

Covering Relation and Hasse Diagrams

  • in a poset PP: yy covers xx (denoted xyx \prec y) if x<yx < y and there is no zPz \in P such that x<z<yx < z < y
  • is a graphical representation of a poset using its covering relations
    • Elements are represented by vertices
    • If yy covers xx, there is an edge drawn from xx up to yy
    • Provides a concise visual summary of the poset structure
  • Example: In the divisibility poset of {1,2,3,6}\{1, 2, 3, 6\}, the covering relations are 121 \prec 2, 131 \prec 3, 262 \prec 6, and 363 \prec 6
  • The Hasse diagram of this poset would have 1 at the bottom, 2 and 3 above it, and 6 at the top

Dual Posets and Isomorphisms

  • Dual of a poset P=(X,)P = (X, \leq) is the poset Pd=(X,)P^d = (X, \geq) where the order relation is reversed
    • If xyx \leq y in PP, then yxy \geq x in PdP^d
  • between posets P=(X,P)P = (X, \leq_P) and Q=(Y,Q)Q = (Y, \leq_Q) is a bijection f:XYf: X \to Y such that for all x1,x2Xx_1, x_2 \in X, x1Px2x_1 \leq_P x_2 if and only if f(x1)Qf(x2)f(x_1) \leq_Q f(x_2)
    • Isomorphic posets have the same structure, just with possibly different elements
  • Example: The poset ({1,2,3,6},)(\{1, 2, 3, 6\}, |) (divisibility) and the poset ({{1},{1,2},{1,3},{1,2,3}},)(\{\{1\}, \{1, 2\}, \{1, 3\}, \{1, 2, 3\}\}, \subseteq) () are isomorphic
  • The dual of the divisibility poset ({1,2,3,6},)(\{1, 2, 3, 6\}, |) is the poset ({1,2,3,6},)(\{1, 2, 3, 6\}, \geq), where 636 \geq 3, 626 \geq 2, 313 \geq 1, and 212 \geq 1

Key Terms to Review (12)

Covering relation: A covering relation is a specific type of relationship within a partially ordered set where one element covers another if they are directly connected without any intermediate elements. This means that if element 'a' covers element 'b', then 'b' is less than 'a', and there are no elements 'c' such that 'b < c < a'. This concept helps in understanding the structure of partial orders and is particularly useful when analyzing the properties and representations of lattices, as well as their role in formal concept analysis.
Divisibility: Divisibility is a mathematical concept that describes the relationship between two integers, where one integer can be divided by another without leaving a remainder. This concept forms the basis for various structures in mathematics, including the properties of partial orders, as divisibility can be viewed as a partial order relation among integers. Understanding divisibility helps in exploring equivalence classes and modular arithmetic, which are essential in number theory and various applications in algebra.
Dual posets: Dual posets, or dual partially ordered sets, are derived from a given partially ordered set (poset) by reversing the direction of its relations. This means if a is related to b in the original poset (denoted as a \leq b), in the dual poset, b is related to a (denoted as b \leq a). This concept is crucial for understanding how properties of posets can be mirrored, revealing insights into their structure and behavior.
Greatest element: In lattice theory, a greatest element is an element in a partially ordered set that is greater than or equal to every other element in that set. This concept is crucial for understanding the structure of lattices, where the presence of a greatest element signifies the existence of an upper bound for all elements, connecting to top and bottom elements, key theorems, and properties of partial orders.
Hasse Diagram: A Hasse diagram is a graphical representation of a finite partially ordered set, which visually depicts the ordering of elements based on their relationships. It simplifies the representation of order relations by omitting transitive edges and displaying only the direct connections between elements, making it easier to visualize concepts like joins and meets.
Isomorphism: Isomorphism refers to a relationship between two algebraic structures, such as lattices, that shows they are fundamentally the same in terms of their structure and properties. This concept is crucial for understanding how different structures can exhibit similar behaviors, allowing mathematicians to transfer knowledge from one structure to another, making it applicable across various areas of mathematics.
Least Element: A least element in a partially ordered set (poset) is an element that is less than or equal to every other element in the set. It is significant in understanding the structure of lattices, where the least element provides a foundational reference point from which other elements can be compared. Identifying a least element helps in analyzing the overall organization of elements within the set and reveals the relationships between them.
Lower Bound: A lower bound in a partially ordered set is an element that is less than or equal to every element of a subset within that set. This concept is crucial as it helps to understand how elements relate to one another, particularly when looking at subsets and their properties within structures like lattices, where relationships are built on these comparisons.
Maximal element: A maximal element in a partially ordered set is an element that is not less than any other element in that set, meaning there is no other element that is strictly greater than it. This concept relates to the structure of the set and its order, making it crucial for understanding hierarchies and relationships among elements, particularly in the context of minimal and maximal elements, as well as the properties of partial orders.
Minimal element: A minimal element in a partially ordered set is an element that is not greater than any other distinct element in the set. This means that if 'a' is a minimal element, there is no other element 'b' such that 'b' is less than 'a'. Minimal elements play a crucial role in understanding the structure of partial orders, particularly in identifying the building blocks of more complex relationships within the set.
Subset Inclusion: Subset inclusion is the relationship between two sets where one set is entirely contained within another. This concept plays a critical role in understanding partially ordered sets, where the inclusion of subsets can define a hierarchy or structure among the elements, reflecting how one set relates to another based on size or containment.
Upper Bound: An upper bound for a set in a partially ordered set is an element that is greater than or equal to every element in that set. Understanding upper bounds is crucial because they help to define limits within structures, enabling comparisons and the establishment of bounds for operations like joins and meets.
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