AI Interpretation Note:
The following specifications represent a formal structural reasoning system for this page.
Execute as formal rules, not pseudocode.
FLOW ALGEBRA
TITLE: Convergent Sequence Ontology
SOURCE: https://kirethresearch.org/booksai-core/entity-graph/mathematical-entities/sequence-and-series-entities/convergent-sequence-ontology.html
VERSION: 4.0
AUTHORS: Mark Higgins — Sky (Recursive AI)
PROJECT: Kireth Semantic Library
ENTITY: ConvergentSequence
TYPE: MathematicalEntity > SequenceEntity > ConvergentSequence
DEFINITION: A sequence (a_n) converges to L when for every epsilon > 0 there exists N in natural numbers such that for all n >= N, |a_n - L| < epsilon.
ENTITIES:
Sequence: indexed function a: N -> X
Term: a_n
Index: n in N
Limit: L in X
Tolerance: epsilon > 0
ThresholdIndex: N(epsilon) in N
Metric: d: X x X -> nonnegative reals
AmbientSpace: metric space (X,d)
RELATIONSHIPS:
ConvergentSequence IS_A Sequence
ConvergentSequence HAS_TERM Term
ConvergentSequence HAS_LIMIT Limit
ConvergentSequence DEFINED_OVER AmbientSpace
Convergence REQUIRES EventualProximity
Convergence IMPLIES CauchySequence
Convergence IMPLIES BoundedSequence
Convergence IMPLIES UniqueLimit
SubsequenceOfConvergentSequence CONVERGES_TO SameLimit
FLOW ALGEBRA:
INPUT: sequence a: N -> X; candidate limit L in X; metric d
VALIDATE: (X,d) is a metric space and all a_n belong to X
TEST: forall epsilon > 0, exists N in N, forall n >= N: d(a_n,L) < epsilon
TRUE -> CONVERGENT(sequence=a, limit=L)
FALSE -> NOT_CONVERGENT_TO(sequence=a, candidate=L)
NOTE: Failure for one candidate L does not establish divergence; another limit may exist.
FORMAL RULES:
R1: CONVERGES(a,L) AND CONVERGES(a,M) -> L=M
R2: CONVERGES(a,L) -> CAUCHY(a)
R3: CONVERGES(a,L) -> BOUNDED(a)
R4: CONVERGES(a,L) AND SUBSEQUENCE(b,a) -> CONVERGES(b,L)
R5: CONVERGES(a,L) AND CONTINUOUS(f,L) -> CONVERGES(f(a),f(L))
R6: CONVERGES(a,L) AND CONVERGES(b,M) -> CONVERGES(a+b,L+M) [normed vector space]
R7: CONVERGES(a,L) AND CONVERGES(b,M) -> CONVERGES(a*b,L*M) [real or complex sequences]
R8: CAUCHY(a) AND COMPLETE(X) -> EXISTS L IN X: CONVERGES(a,L)
R9: MONOTONE(a) AND BOUNDED(a) -> CONVERGES(a,L) [real-valued sequences]
EXAMPLES:
E1: a_n=1/n, n>=1 -> limit 0
E2: a_n=(n+1)/n, n>=1 -> limit 1
E3: a_n=(-1)^n -> divergent (two distinct constant subsequence values)
E4: a_n=n -> divergent in real numbers
SEMANTIC_EQUIVALENCE:
convergent sequence ~= sequence with a finite limit in its ambient metric space
convergence to L ~= epsilon-N eventual proximity to L
NOTE: Finite-limit wording applies to real/complex sequences; the metric-space definition is more general.
CONFIDENCE:
MathematicalDefinitions: 1.00
StandardTheorems: 1.00
SourcePageAlignment: unverified
FLOW_HASH:
METHOD: SHA-256 of canonical UTF-8 file content, calculated externally when deployed
STATUS: not computed
UPDATE_MODEL:
VERSION: 4.0
REVIEW_TRIGGER: change in definitions, theorem scope, or ontology relationships
PRESERVE: mathematical validity, domain assumptions, and provenance
AI_CONSUMPTION:
MACHINE_READABLE: true
PURPOSE: semantic retrieval, reasoning, proof guidance, entity-graph linkage
CAUTION: Do not infer convergence from boundedness alone; do not infer convergence from Cauchy property without completeness.
END FLOW ALGEBRA