Multi-Domain Propagation Algebra (MDPA)

The Multi-Domain Propagation Algebra (MDPA 2.0) is a relational, multi-sorted algebra for modeling propagation, reachability, and influence flow across typed domains. Unlike classical Kleene algebra, MDPA 2.0 does not assume a general star operation. Instead, it introduces a globally coupled propagation operator TTT and a closure T∗T^{\ast}T∗ defined as the least fixed point of a monotone functional over a product of hom-sets. This construction provides a mathematically rigorous foundation for heterogeneous reachability, using tools from lattice theory, domain theory, and Rel-enriched category theory. MDPA 2.0 supports both theoretical analysis (fixed-point semantics, categorical structure) and efficient computation in the finite case via a typed Boolean block–Warshall algorithm. This version (v2.0) is the first fully formal specification of the MDPA framework.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-16
DOI
https://doi.org/10.5281/zenodo.17470001
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Domain Propagation Algebra (MDPA)

Zenodo (CERN European Organization for Nuclear Research)
Logic, programming, and type systems
article

Multi-Domain Propagation Algebra (MDPA)

article en

Abstract

The Multi-Domain Propagation Algebra (MDPA 2.0) is a relational, multi-sorted algebra for modeling propagation, reachability, and influence flow across typed domains. Unlike classical Kleene algebra, MDPA 2.0 does not assume a general star operation. Instead, it introduces a globally coupled propagation operator TTT and a closure T∗T^{\ast}T∗ defined as the least fixed point of a monotone functional over a product of hom-sets. This construction provides a mathematically rigorous foundation for heterogeneous reachability, using tools from lattice theory, domain theory, and Rel-enriched category theory. MDPA 2.0 supports both theoretical analysis (fixed-point semantics, categorical structure) and efficient computation in the finite case via a typed Boolean block–Warshall algorithm. This version (v2.0) is the first fully formal specification of the MDPA framework.

Zenodo (CERN European Organization for Nuclear Research)
Teradyne (United States) (US)
Openalex Percentile: Top 23%
Logic, programming, and type systems
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.