Continuous real distribution function
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Here a continuous distribution means that its CDF is continuous; the CDF must still be nondecreasing, right-continuous and have endpoint limits0 and1.
mko-continuous-real-distribution-function · definition · v0.10.0
Mathematical statement
A continuous CDF has no jumps, so every singleton has probability0. This is not continuity of a random-variable map on the sample space and does not imply a density or absolute continuity. An affine Cantor distribution supplies a continuous, atomless, singular boundary. Flat CDF intervals are allowed; strict increase is not required.
Representative formula (exact TeX)
F(x)
Assumptions
- Exact positive families use linear interpolation between knots, constant0 on the left and constant1 on the right.
- Knot values are nondecreasing from0 to1, knots are strictly increasing, and audit query points must also be strictly ordered as exact rationals.
Symbol scope
F— continuous cumulative distribution functionx— real threshold
Intuition, definition, and misconceptions
CDF continuity is a property of the distribution.
Continuity implies zero point masses.
Continuity or atomlessness does not guarantee a density.
Do not identify a continuous CDF with existence of a PDF or demand strict increase.
Adopted derivation guide
A continuous CDF with a flat intervalThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Cumulative distribution function — Retain every CDF obligation.
- Point values and continuity of real functions — The CDF has no jumps.
- Function limits on punctured real domains — The endpoint limits are required.
- Usual order on the real numbers — The CDF is nondecreasing.
- Sigma-algebras and measure spaces — The distribution is a probability law.
Verification boundary
Piecewise-linear families are exact instances; the singular boundary performs no density computation.
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 standard normal distribution.
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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