S01 · implies
Before
P(a)=1/3,\ P(b)=2/3
After
P(\Omega)=1,\quad X_n,X:\Omega\to\mathbb R
Conditions: none
Rule: work · Uses: G1, work
Leaf basis: work
All variables have the same two-atom carrier and law.
derivation-mko-convergence-in-probability-01 · ocme-new142-reader-adoption-20261021
Prove convergence in probability on a common finite space.
The prefix may be nonmonotone; proof comes from a universal tail formula.
workG1 — Omega={a,b}, with masses 1/3,2/3 and target X=0. X1=(2,-1), X2=(1,4), and for every n≥3 set X_n=(0,0).ε,δ — arbitrary positive tolerancesN — tail indexmko_definition · cited — All X_n and X must belong to the same probability space. Retain the tail obligations: for every epsilon>0 and every delta>0 there exists N such that every n≥N has deviation probability below delta. This slice uses an explicitly declared c/(n+s) deviation-probability profile on a valid probability domain, or an eventual-equality certificate. A finite prefix does not establish convergence. · mko-convergence-in-probabilitywork · prerequisite — Convergence in probability means controlling every n≥N for arbitrary epsilon>0 and delta>0; the empty event has probability zero.Before
P(a)=1/3,\ P(b)=2/3
After
P(\Omega)=1,\quad X_n,X:\Omega\to\mathbb R
Conditions: none
Rule: work · Uses: G1, work
Leaf basis: work
All variables have the same two-atom carrier and law.
Before
|X_1-X|=(2,1),\quad\varepsilon=1
After
P(|X_1-X|>1)=1/3
Conditions: none
Rule: work · Uses: G1, S01, work
Leaf basis: work
The strict deviation event contains only a.
Before
|X_2-X|=(1,4)
After
P(|X_2-X|>1)=2/3
Conditions: none
Rule: work · Uses: G1, S02, work
Leaf basis: work
The second deviation probability increases, without refuting a tail limit.
Before
n\ge3
After
X_n(\omega)-X(\omega)=0\quad(\omega\in\Omega)
Conditions: none
Rule: work · Uses: G1, S03, work
Leaf basis: work
The declared universal formula, not two observations, gives eventual equality.
Before
\varepsilon>0,\quad n\ge3
After
\{|X_n-X|>\varepsilon\}=\varnothingConditions: none
Rule: work · Uses: G1, S04, work
Leaf basis: work
Zero error exceeds no positive epsilon.
Before
n\ge3,\quad\varepsilon>0
After
P(|X_n-X|>\varepsilon)=0
Conditions: none
Rule: work · Uses: G1, S05, work
Leaf basis: work
The empty event has probability zero for every tail index.
Before
\varepsilon>0,\ \delta>0
After
N=3\implies\forall n\ge N:\ P(|X_n-X|>\varepsilon)=0<\delta
Conditions: none
Rule: work · Uses: G1, S06, work
Leaf basis: work
The same N=3 meets the universal tail obligation for arbitrary epsilon and delta.
Before
\forall\varepsilon>0\ \forall\delta>0\ \exists N\ \forall n\ge N
After
X_n\xrightarrow{P}X=0Conditions: none
Rule: work · Uses: G1, S07, work
Leaf basis: work
The exact quantifier order proves convergence in probability.
No substeps in this guide.
S08 · premise_audit · G1, S07, work — This certificate is stronger, but the stated conclusion uses no undeclared mode-implication theorem.S07 · premise_audit · G1, S06, work — Choose arbitrary epsilon and delta before supplying N.S06 · premise_audit · G1, S05, work — This is not a lookup for one n.S05 · premise_audit · G1, S04, work — Epsilon is arbitrary positive, not merely the tested value 1.S04 · premise_audit · G1, S03, work — The quantifier n≥3 covers the infinite tail.S03 · premise_audit · G1, S02, work — Prefix monotonicity is not part of the definition.S02 · premise_audit · G1, S01, work — The deviation at b equals 1 and is not greater than 1.S01 · premise_audit · G1, work — The space is not changed with n.Keep>epsilon and distinguish equality at 1.
The universal n≥3 formula is evidence; the prefix is only an audit.
reject — A finite prefix does not determine the tail.reject — The definition requires every positive epsilon.reject — Every n≥N must be controlled.Despite an increasing prefix deviation probability, X_n converges in probability to 0.
2 declared checks for this guide; only the listed expressions are covered.
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