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  2. Directed acyclic graph - Wikipedia

    en.wikipedia.org/wiki/Directed_acyclic_graph

    The transitive reduction of a DAG is the graph with the fewest edges that has the same reachability relation as the DAG. It has an edge u → v for every pair of vertices ( u , v ) in the covering relation of the reachability relation ≤ of the DAG.

  3. Partially ordered set - Wikipedia

    en.wikipedia.org/wiki/Partially_ordered_set

    Specifically, taking a strict partial order relation (, <), a directed acyclic graph (DAG) may be constructed by taking each element of to be a node and each element of < to be an edge. The transitive reduction of this DAG [b] is then the Hasse diagram. Similarly this process can be reversed to construct strict partial orders from certain DAGs.

  4. Transitive reduction - Wikipedia

    en.wikipedia.org/wiki/Transitive_reduction

    The transitive reduction of a finite directed graph G is a graph with the fewest possible edges that has the same reachability relation as the original graph. That is, if there is a path from a vertex x to a vertex y in graph G, there must also be a path from x to y in the transitive reduction of G, and vice versa.

  5. Reachability - Wikipedia

    en.wikipedia.org/wiki/Reachability

    If is acyclic, then its reachability relation is a partial order; any partial order may be defined in this way, for instance as the reachability relation of its transitive reduction. [2] A noteworthy consequence of this is that since partial orders are anti-symmetric, if s {\displaystyle s} can reach t {\displaystyle t} , then we know that t ...

  6. Transitive closure - Wikipedia

    en.wikipedia.org/wiki/Transitive_closure

    The transitive closure of this relation is a different relation, namely "there is a sequence of direct flights that begins at city x and ends at city y". Every relation can be extended in a similar way to a transitive relation. An example of a non-transitive relation with a less meaningful transitive closure is "x is the day of the week after y".

  7. Dedekind–MacNeille completion - Wikipedia

    en.wikipedia.org/wiki/Dedekind–MacNeille...

    The transitive reduction or covering graph of the Dedekind–MacNeille completion describes the order relation between its elements in a concise way: each neighbor of a cut must remove an element of the original partial order from either the upper or lower set of the cut, so each vertex has at most n neighbors.

  8. Subshift of finite type - Wikipedia

    en.wikipedia.org/wiki/Subshift_of_finite_type

    A subshift of finite type is called transitive if G is strongly connected: there is a sequence of edges from any one vertex to any other vertex. It is precisely transitive subshifts of finite type which correspond to dynamical systems with orbits that are dense.

  9. Dependency graph - Wikipedia

    en.wikipedia.org/wiki/Dependency_graph

    A depends on B and C; B depends on D. Given a set of objects and a transitive relation with (,) modeling a dependency "a depends on b" ("a needs b evaluated first"), the dependency graph is a graph = (,) with the transitive reduction of R.