A quasi-metric computational model from modular functions on monoids
Salvador Romaguera, Óscar Valero
Abstract
Salvador Romaguera, Óscar Valero
Abstract
Domain Theory has a wide range of applications to model computational processes where the information about the final stage is increased successively in each passage of the process. Two distinguished examples of domains are the so-called domain of words and the interval domain. Both can be structured as monoids with a property of left cancellativity on the non-left-absorbing elements. Motivated by these two models we present a general method for generating a weightable quasi-metric from ϵ -modular functions on certain monoids. Such a quasi-metric structure captures, in a unified approach, the main properties of the two mentioned domains.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Domain Theory has a wide range of applications to model computational processes where the information about the final stage is increased successively in each passage of the process. Two distinguished examples of domains are the so-called domain of words and the interval domain. Both can be structured as monoids with a property of left cancellativity on the non-left-absorbing elements. Motivated by these two models we present a general method for generating a weightable quasi-metric from ϵ -modular functions on certain monoids. Such a quasi-metric structure captures, in a unified approach, the main properties of the two mentioned domains.
Key concepts: Mathematics, Metric (unit), Modular design, Domain (mathematical analysis), Property (philosophy), Interval (graph theory), Range (aeronautics), Algebra over a field