Moving a Derivation Along a Derivation Preserves the Spine in Adhesive Categories

In this paper, we investigate the relationship between two elementary operations on derivations in the framework of graph transformation based on adhesive categories: moving a derivation along a derivation based on parallel and sequential independence on one hand and restriction of a derivation with respect to a monomorphism into the start object on the other hand. Intuitively, a restriction clips off parts of the start object that are never matched by a rule application throughout the derivation on the other hand. As main result, it is shown that moving a derivation preserves its spine being the minimal restriction.

Authors

Publication Details

Journal
Logical Methods in Computer Science
Published
2025-04-16
DOI
https://doi.org/10.46298/lmcs-21(2:4)2025
Primary Topic
Mathematics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moving a Derivation Along a Derivation Preserves the Spine in Adhesive Categories

Hans‐Jörg Kreowski, Aaron Lye, Aljoscha Windhorst
Logical Methods in Computer Science
Mathematics and Applications
article

Moving a Derivation Along a Derivation Preserves the Spine in Adhesive Categories

Hans‐Jörg Kreowski, Aaron Lye, Aljoscha Windhorst
article en

Abstract

In this paper, we investigate the relationship between two elementary operations on derivations in the framework of graph transformation based on adhesive categories: moving a derivation along a derivation based on parallel and sequential independence on one hand and restriction of a derivation with respect to a monomorphism into the start object on the other hand. Intuitively, a restriction clips off parts of the start object that are never matched by a rule application throughout the derivation on the other hand. As main result, it is shown that moving a derivation preserves its spine being the minimal restriction.

Logical Methods in Computer ScienceVol. Volume 21, Issue 2
Openalex Percentile: Top 87%
Mathematics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.