The Begümian ς-Structure: A Unified Framework of Sets, Functions, and Probability

This paper introduces the ς-structure, a novel mathematical object that unifies the concepts of sets, functions, and probability into a single formalism. The ς-structure, denoted by the Greek final sigma (ς), is defined as an ordered triple consisting of a set, a function, and a probability distribution. The main operation, called the ς-sum, generalizes the expected value by weighting function values over a set according to a given probability distribution. We provide rigorous definitions, key theorems with proofs, illustrative examples, and a discussion of possible generalizations and applications across mathematics and science. The new symbol ς is proposed as the canonical notation for this hybrid structure. The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this workl<br>

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29413901.v1
Primary Topic
History and Theory of Mathematics
Type
article
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The Begümian ς-Structure: A Unified Framework of Sets, Functions, and Probability

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History and Theory of Mathematics
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The Begümian ς-Structure: A Unified Framework of Sets, Functions, and Probability

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Abstract

This paper introduces the ς-structure, a novel mathematical object that unifies the concepts of sets, functions, and probability into a single formalism. The ς-structure, denoted by the Greek final sigma (ς), is defined as an ordered triple consisting of a set, a function, and a probability distribution. The main operation, called the ς-sum, generalizes the expected value by weighting function values over a set according to a given probability distribution. We provide rigorous definitions, key theorems with proofs, illustrative examples, and a discussion of possible generalizations and applications across mathematics and science. The new symbol ς is proposed as the canonical notation for this hybrid structure. The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this workl<br>

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History and Theory of Mathematics
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