Method by Fundaments in Research: Review from the Commutative Algebra

The design and creation of a model of research method revisited from the classical method, has been necessary due to arising of research on aspects of field theory and aspects that cannot be explored nor observed directly, and that requires an extension and induction of the classical method to the deep discernment and enriching analysis that comes from a true theory built through fundaments. In this paper is demonstrated the commutatively of certain diagrams and schemes of categorical objects in research whose elements are true propositions (from axioms and postulates until theorems) and whose applications between these categorical objects in research are research functores and corresponding derived morphisms.

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Publication Details

Journal
Journal of Mathematical & Computer Applications
Published
2025-03-07
DOI
https://doi.org/10.47363/jmca/2025(4)201
Primary Topic
Mathematics Education and Teaching Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Method by Fundaments in Research: Review from the Commutative Algebra

Francisco Bulnes
Journal of Mathematical & Computer Applications
Mathematics Education and Teaching Techniques
article

Method by Fundaments in Research: Review from the Commutative Algebra

Francisco Bulnes
article en

Abstract

The design and creation of a model of research method revisited from the classical method, has been necessary due to arising of research on aspects of field theory and aspects that cannot be explored nor observed directly, and that requires an extension and induction of the classical method to the deep discernment and enriching analysis that comes from a true theory built through fundaments. In this paper is demonstrated the commutatively of certain diagrams and schemes of categorical objects in research whose elements are true propositions (from axioms and postulates until theorems) and whose applications between these categorical objects in research are research functores and corresponding derived morphisms.

Journal of Mathematical & Computer Applications
Tea Research Institute (CN)
Openalex Percentile: Top 96%
Mathematics Education and Teaching Techniques
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