A uniform limit of continuous functions is continuous
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Continuous functions on one common domain have a continuous limit when convergence is uniform on that domain.
mko-uniform-limit-continuity-theorem · theorem · v0.10.0
Mathematical statement
Every approximating f_n is continuous on the same declared domain and sup_x|f_n(x)−f(x)| tends to0. Exact families use affine perturbations on[0,1], exact supremum errors and epsilon–N certificates. An epsilon/3 transfer fixes one continuous approximant f_N and passes its continuity to f. Pointwise-only powers, uniform sequences whose terms are discontinuous and finite-grid agreement do not supply both theorem hypotheses.
Representative formula (exact TeX)
U(F,f,e)=b
Assumptions
- All functions share a declared domain and codomain.
- The uniform N depends on epsilon but not on x; approximant continuity is a separate premise.
Symbol scope
U— uniform-limit theorem operatorF— continuous-function sequencef— uniform-limit functione— positive toleranceb— continuity conclusion
Intuition, definition, and misconceptions
Supremum error and epsilon–N quantifiers precede the conclusion.
The epsilon/3 transfer fixes one continuous approximant and does not require a common delta for all terms.
Pointwise convergence and finite samples are insufficient.
Pointwise or finite-grid closeness is not uniform convergence, and continuity of the approximants cannot be omitted.
Adopted derivation guide
An epsilon/3 transfer through one fixed approximantThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Uniform convergence of functions — Use the essential convergence hypothesis.
- Point values and continuity of real functions — Separate term continuity and the limit conclusion.
- Function mapping — Declare the common domain and codomain.
- Supremum and infimum — Control the error over the entire domain.
Verification boundary
The affine exact families check quantifiers and bounds; general metric/topological versions still need their own proof.
not_formalized
This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.
Next obligation
Add the extra hypotheses for interchanging limits with integration or differentiation.
Same-source structured data
This page and the interactive view use the same object and existing language edition; this adds no proof or human review.
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