Deriving a Markov bound pointwise

On this page
  1. Goal and scope
  2. Givens and symbols
  3. Rules and sources
  4. Main derivation
  5. Substeps and lemmas
  6. Reverse audits
  7. Error controls and negative controls
  8. Result and limitations
  9. Verification and source binding

← Guide index · Original MKO

derivation-mko-markov-inequality-01 · ocme-new142-reader-adoption-20261021

Goal and scope

Prove the finite-law bound and compare its exact tail.

A nonnegative random variable with a fully specified finite probability law; not a sampled proof of the general measure-theoretic theorem.

Givens and symbols

  • work
  • G1 — X takes 0,2,6 with masses 1/2,1/3,1/6; threshold a=3.
  • a — positive threshold
  • 1_A — event indicator

Rules and sources

  • mko_definition · cited — Require X≥0 almost surely, a>0 and finite E[X]; then P(X≥a)≤E[X]/a. Complete finite rational laws allow exact tail and bound calculations. The bound is not the tail probability, signed variables cannot directly use the nonnegative theorem, and threshold0 is excluded. · mko-markov-inequality
  • work · prerequisite — Indicator expectations equal event probabilities; nonnegative weighted sums and division by positive numbers preserve order.

Main derivation

S01 · implies

Before

1/2+1/3+1/6=1

After

X\ge0,\quad a=3>0,\quad E[X]<\infty

Conditions: none

Rule: work · Uses: G1, work

Leaf basis: work

The law is normalized, X nonnegative, and the threshold positive; finite values ensure integrability.

S02 · implies

Before

x<3,\ x\in\{0,2,6\}

After

3\mathbf1_{\{x\ge3\}}=0\le x

Conditions: none

Rule: work · Uses: G1, S01, work

Leaf basis: work

Below threshold the indicator is zero and x is nonnegative.

S03 · implies

Before

x\ge3

After

3\mathbf1_{\{x\ge3\}}=3\le x

Conditions: none

Rule: work · Uses: G1, S02, work

Leaf basis: work

Above threshold the inequality follows directly from x≥3.

S04 · implies

Before

3\mathbf1_{\{X\ge3\}}\le X

After

3P(X\ge3)\le E[X]

Conditions: none

Rule: work · Uses: G1, S03, work

Leaf basis: work

Multiply by nonnegative masses and sum, preserving the inequality.

S05 · implies

Before

E[X]=0/2+2/3+6/6

After

E[X]=5/3

Conditions: none

Rule: work · Uses: G1, S04, work

Leaf basis: work

Compute the expectation from the complete law.

S06 · implies

Before

3P(X\ge3)\le5/3

After

P(X\ge3)\le5/9

Conditions: none

Rule: work · Uses: G1, S05, work

Leaf basis: work

Divide by positive 3 to obtain the Markov upper bound.

S07 · implies

Before

\{X\ge3\}=\{X=6\}

After

P(X\ge3)=1/6<5/9

Conditions: none

Rule: work · Uses: G1, S06, work

Leaf basis: work

Only the mass at 6 is in the tail, so the bound is not equality.

S08 · implies

Before

a\mathbf1_{\{X\ge a\}}\le X,\quad a>0

After

P(X\ge a)\le E[X]/a

Conditions: none

Rule: work · Uses: G1, S07, work

Leaf basis: work

The same pointwise case proof works for any qualifying finite nonnegative law.

Substeps and lemmas

No substeps in this guide.

Reverse audits

  • S08 · premise_audit · G1, S07, work — This generalization rests on the pointwise proof, not on observed numbers.
  • S07 · premise_audit · G1, S06, work — Do not substitute5/9 for the actual event probability.
  • S06 · premise_audit · G1, S05, work — The positive threshold makes division valid without reversing order.
  • S05 · premise_audit · G1, S04, work — The mass at 6 is 1/6; the three points are not uniform.
  • S04 · premise_audit · G1, S03, work — Every support value is used, not a random sample.
  • S03 · premise_audit · G1, S02, work — Together the branches exhaust the support.
  • S02 · premise_audit · G1, S01, work — A signed x could fail in this branch, locating the nonnegativity requirement.
  • S01 · premise_audit · G1, work — A positive mean alone does not replace these qualifications.

Error controls and negative controls

Nonnegativity

Check every positive-mass value, not merely the mean.

Bound versus actual value

Compute tail 1/6 separately from{6}, then compare with 5/9.

  • The tail always equals E[X]/a. → reject — Here1/6 is not 5/9.
  • Division is valid at a=0. → reject — A positive threshold is a denominator requirement.
  • A signed X with positive mean qualifies directly. → reject — The below-threshold branch0≤X can fail.

Result and limitations

The exact tail is 1/6 and the Markov bound5/9; the finite-law version follows pointwise.

    Verification and source binding

    3 declared checks for this guide; only the listed expressions are covered.

    • source commit: b1b2f1dcf8c50d67a93fe52d95f8eef7b3abba9f
    • adopted source SHA-256: c8a078764616e58290cc4d16694339f57787010b9ba42b16d383b7a1a892a42c
    • original source SHA-256: 1ef70a0328ec764a48d0df0ab90defc38d6cbe51d3d15f7ef7e50556ddc7cdc8
    • Lean: NOT_RUN · independent AI: SCOPED_LEAD_AND_BILINGUAL_CONTEXT_REVIEW

    Same-source full JSON (formulas, ASTs, controls and revision log)