# Prefix order

In mathematics, especially order theory, a **prefix ordered set** generalizes the intuitive concept of a tree by introducing the possibility of continuous progress and continuous branching. Natural prefix orders often occur when considering dynamical systems as a set of functions from *time* (a totally-ordered set) to some phase space. In this case, the elements of the set are usually referred to as *executions* of the system.

The name *prefix order* stems from the prefix order on words, which is a special kind of substring relation and, because of its discrete character, a tree.

## Formal definition

A **prefix order** is a binary relation "≤" over a set *P* which is antisymmetric, transitive, reflexive, and **downward total**, i.e., for all *a*, *b*, and *c* in *P*, we have that:

*a ≤ a*(reflexivity);- if
*a ≤ b*and*b ≤ a*then*a*=*b*(antisymmetry); - if
*a ≤ b*and*b ≤ c*then*a ≤ c*(transitivity); - if
*a ≤ c*and*b ≤ c*then*a ≤ b*or*b ≤ a*(downward totality).

## Functions between prefix orders

While between partial orders it is usual to consider order-preserving functions, the most important type of functions between prefix orders are so-called **history preserving** functions. Given a prefix ordered set *P*, a **history** of a point *p∈P* is the (by definition totally ordered) set *p- ≜ {q | q ≤ p}*. A function *f : P → Q* between prefix orders P and Q is then **history preserving** if and only if for every *p∈P* we find *f(p-) = f(p)-*. Similarly, a **future** of a point *p∈P* is the (prefix ordered) set *p+ ≜ {q | p ≤ q}* and *f* is future preserving if for all *p∈P* we find *f(p+) = f(p)+*.

Every history preserving function and every future preserving function is also order preserving, but not vice versa.
In the theory of dynamical systems, history preserving maps capture the intuition that the behavior in one system is a *refinement* of the behavior in another. Furthermore, functions that are history and future preserving surjections capture the notion of bisimulation between systems, and thus the intuition that a given refinement is *correct* with respect to a specification.

The range of a history preserving function is always a prefix closed subset, where a subset *S ⊆ P* is **prefix closed** if for all *s,t ∈ P* with *t∈S* and *s≤t* we find *s∈S*.

## Product and union

Taking history preserving maps as *morphisms* in the category of prefix orders leads to a notion of product that is *not* the Cartesian product of the two orders since the Cartesian product is not always a prefix order. Instead, it leads to an *arbitrary interleaving* of the original prefix orders. The union of two prefix orders is the disjoint union, as it is with partial orders.

## Isomorphism

Any bijective history preserving function is an order isomorphism. Furthermore, if for a given prefix ordered set *P* we construct the set *P- ≜ { p- | p∈ P}* we find that this set is prefix ordered by the subset relation ⊆, and furthermore, that the function *max : P- → P* is an isomorphism, where *max(S)* returns for each set *S∈P-* the maximum element in terms of the order on P (i.e. *max(p-) ≜ p*).

## References

- Cuijpers, Pieter (2013). "Prefix Orders as a General Model of Dynamics" (PDF).
*Proceedings of the 9th International Workshop on Developments in Computational Models (DCM)*. pp. 25–29. - Cuijpers, Pieter (2013). "The Categorical Limit of a Sequence of Dynamical Systems".
*EPTCS 120 : Proceedings EXPRESS/SOS 2013*. pp. 78–92. doi:10.4204/EPTCS.120.7. - Ferlez, James; Cleaveland, Rance; Marcus, Steve (2014). "Generalized Synchronization Trees".
*LLNCS 8412: Proceedings of FOSSACS'14*. pp. 304–319. doi:10.1007/978-3-642-54830-7_20.