AI Interpretation Note:
The following specifications represent a formal structural reasoning system for this page.
Execute as formal rules, not pseudocode.
FLOW ALGEBRA
TITLE: Mathematical Objects Ontology
VERSION: 1.0
SOURCE: https://kirethresearch.org/booksai-core/discrete-mathematics-ontologies/foundations-of-discrete-mathematics/mathematical-objects-ontology.html
STATUS: Domain-based formalisation; source page content not independently verified.
AUTHORS: Mark Higgins — Sky (Recursive AI)
PROJECT: Kireth Semantic Library
DOMAIN:
id: mathematical_objects
parent: foundations_of_discrete_mathematics
scope: Mathematical entities, their types, properties, constructions, and formal relationships.
TYPES:
MathematicalObject: abstract entity defined within a mathematical theory
Set: collection of distinct elements
Element: object belonging to a set
Number: mathematical object representing quantity or position
Tuple: finite ordered collection of objects
Sequence: indexed family of objects
Relation: subset of a Cartesian product
Function: relation assigning exactly one output to each domain element
Operation: function on one or more operands
Structure: carrier set equipped with specified operations and/or relations
Graph: vertices together with edges
Proposition: declarative statement with a truth value in an interpretation
Proof: derivation establishing a proposition from premises under rules
Axiom: proposition assumed within a formal system
Definition: specification fixing the meaning of a mathematical term
Property: predicate applicable to mathematical objects
Mapping: function between specified domains and codomains
RELATIONSHIPS:
IS_A(child:MathematicalObject, parent:Type)
INSTANCE_OF(object:MathematicalObject, type:Type)
MEMBER_OF(element:MathematicalObject, set:Set)
SUBSET_OF(subset:Set, superset:Set)
HAS_PROPERTY(object:MathematicalObject, property:Property)
DEFINED_BY(object:MathematicalObject, definition:Definition)
CONSTRUCTED_FROM(object:MathematicalObject, component:MathematicalObject)
MAPS_TO(mapping:Mapping, input:MathematicalObject, output:MathematicalObject)
IS_ISOMORPHIC_TO(a:Structure, b:Structure)
SATISFIES(object:MathematicalObject, predicate:Property)
PROVES(proof:Proof, proposition:Proposition)
DEPENDS_ON(result:Proposition, premise:Proposition)
CONSTRAINTS:
C1: MEMBER_OF(x,S) requires S to be a Set.
C2: SUBSET_OF(A,B) iff every member of A is a member of B.
C3: A Function must assign one and only one output per input in its domain.
C4: Equality is typed and evaluated within a declared interpretation.
C5: An isomorphism must preserve the operations and relations of the specified signature.
C6: A proof is valid only relative to its stated axioms and inference rules.
INFERENCE_RULES:
R1: MEMBER_OF(x,A) AND SUBSET_OF(A,B) => MEMBER_OF(x,B).
R2: SUBSET_OF(A,B) AND SUBSET_OF(B,C) => SUBSET_OF(A,C).
R3: SUBSET_OF(A,B) AND SUBSET_OF(B,A) => EQUAL_SET(A,B).
R4: MAPS_TO(f,x,y) AND MAPS_TO(f,x,z) AND FUNCTION(f) => y = z.
R5: IS_ISOMORPHIC_TO(A,B) AND IS_ISOMORPHIC_TO(B,C) => IS_ISOMORPHIC_TO(A,C), for a shared signature.
R6: PROVES(p,P) AND VALID_PROOF(p,axioms,rules) => DERIVABLE(P,axioms,rules).
SEMANTIC_EQUIVALENCE:
equality: exact identity in a declared mathematical interpretation
isomorphism: structural equivalence, not literal equality
notation_alias: permitted only with explicit definitions and scope
ambiguity_policy: distinguish element, set, type, relation and function usages
CONFIDENCE:
formal_derivation: 1.0 when mechanically verified against declared axioms/rules
sourced_claim: retain source, verification status and uncertainty
heuristic_mapping: not a proof; require explicit review
PROVENANCE:
source_url: https://kirethresearch.org/booksai-core/discrete-mathematics-ontologies/foundations-of-discrete-mathematics/mathematical-objects-ontology.html
construction_method: domain-based ontology draft
verified_against_page: false
attribution: Mark Higgins — Sky (Recursive AI)
FLOW_HASH:
algorithm: SHA-256
input: canonical UTF-8 serialisation of ontology version, types, relationships, constraints and inference rules
rule: recompute after semantic modification; no hash asserted until canonicalisation is executed
UPDATE_MODEL:
strategy: versioned and provenance-preserving
steps: validate_types -> validate_constraints -> compare_semantics -> review_conflicts -> increment_version -> recompute_hash -> publish
breaking_change: changes to entity identity, relation signatures, or inference semantics
AI_CONSUMPTION:
format: plain-text typed Flow Algebra
uses: entity extraction, mathematical knowledge graphs, proof assistance, cross-domain alignment, semantic retrieval
safeguards: separate axioms from derived statements; preserve interpretation and provenance; never treat heuristic similarity as proof
END FLOW ALGEBRA