Question 14128: Conditional Means Are Blockwise and Only Almost-Sure on Null Blocks

Original question and givens

Use one complete finite probability space with outcome indices 0 through 3, aligned masses=[24/49, 4/49, 18/49, 3/49], values X=[-10, -1, 4, 10], and conditioning-block labels=[0, 1, 1, 2]. Masses are nonnegative and total exactly 1. Block labels describe a partition of this same space; list block summaries in increasing label order and outcomes in original index order. Conditional expectation is constant on each positive-mass block, with its weighted mean, and preserves every block integral. A zero-mass block is only determined almost surely: return a.s._arbitrary, never divide by zero. Use exact reduced fractions with positive denominators, omitting /1 for integers. Give (block_summaries,conditional_values). Each summary is [label,indices,block_mass,block_mean_or_a.s._arbitrary].

• G001 — Use one complete finite probability space with outcome indices 0 through 3, aligned masses=[24/49, 4/49, 18/49, 3/49], values X=[-10, -1, 4, 10], and conditioning-block labels=[0, 1, 1, 2]. Masses are nonnegative and total exactly 1. Block labels describe a partition of this same space; list block summaries in increasing label order and outcomes in original index order. Conditional expectation is constant on each positive-mass block, with its weighted mean, and preserves every block integral. A zero-mass block is only determined almost surely: return a.s._arbitrary, never divide by zero. Use exact reduced fractions with positive denominators, omitting /1 for integers. Give (block_summaries,conditional_values). Each summary is [label,indices,block_mass,block_mean_or_a.s._arbitrary].

Definition and scope

Use the original question domain, assumptions and cited MKO definitions. This item has second-context mathematical and bilingual review, with the model, answer and every arithmetic step independently recomputed from the original parameters; the source question remains a candidate.

• mko-conditional-expectation

Step-by-step derivation

conditional model whole mass sum := sum(24/49, 4/49, 18/49, 3/49)

conditional model whole mass sum = 1

conditional model:raw aligned masses=[[24, 49], [4, 49], [18, 49], [3, 49]]

normalized masses=[24/49, 4/49, 18/49, 3/49];nonnegative=Yes;total=1

same outcome indices=[0, 1, 2, 3];X values=[-10, -1, 4, 10];block labels=[0, 1, 1, 2]

distinct conditioning labels in increasing order=[0, 1, 2]

block0 mass := sum(24/49)

block0 mass = 24/49

block0 atom0 weighted X := mul(24/49, -10)

block0 atom0 weighted X = -240/49

block0 original weighted integral := sum(-240/49)

block0 original weighted integral = -240/49

block0 positive-mass conditional mean := div(-240/49, 24/49)

block0 positive-mass conditional mean = -10

block label=0;indices=[0];positive mass=24/49;weighted integral=-240/49

block-constant conditional value=-10

block1 mass := sum(4/49, 18/49)

block1 mass = 22/49

block1 atom1 weighted X := mul(4/49, -1)

block1 atom1 weighted X = -4/49

block1 atom2 weighted X := mul(18/49, 4)

block1 atom2 weighted X = 72/49

block1 original weighted integral := sum(-4/49, 72/49)

block1 original weighted integral = 68/49

block1 positive-mass conditional mean := div(68/49, 22/49)

block1 positive-mass conditional mean = 34/11

block label=1;indices=[1, 2];positive mass=22/49;weighted integral=68/49

block-constant conditional value=34/11

block2 mass := sum(3/49)

block2 mass = 3/49

block2 atom3 weighted X := mul(3/49, 10)

block2 atom3 weighted X = 30/49

block2 original weighted integral := sum(30/49)

block2 original weighted integral = 30/49

block2 positive-mass conditional mean := div(30/49, 3/49)

block2 positive-mass conditional mean = 10

block label=2;indices=[3];positive mass=3/49;weighted integral=30/49

block-constant conditional value=10

Reverse checks

• S019 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
• S018 · premise_and_result_audit — Recompute block2 positive-mass conditional mean with exact rational arithmetic, not rounded decimals.
• S017 · premise_and_result_audit — Recompute block2 original weighted integral with exact rational arithmetic, not rounded decimals.
• S016 · premise_and_result_audit — Recompute block2 atom3 weighted X with exact rational arithmetic, not rounded decimals.
• S015 · premise_and_result_audit — Recompute block2 mass with exact rational arithmetic, not rounded decimals.
• S014 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
• S013 · premise_and_result_audit — Recompute block1 positive-mass conditional mean with exact rational arithmetic, not rounded decimals.
• S012 · premise_and_result_audit — Recompute block1 original weighted integral with exact rational arithmetic, not rounded decimals.
• S011 · premise_and_result_audit — Recompute block1 atom2 weighted X with exact rational arithmetic, not rounded decimals.
• S010 · premise_and_result_audit — Recompute block1 atom1 weighted X with exact rational arithmetic, not rounded decimals.
• S009 · premise_and_result_audit — Recompute block1 mass with exact rational arithmetic, not rounded decimals.
• S008 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
• S007 · premise_and_result_audit — Recompute block0 positive-mass conditional mean with exact rational arithmetic, not rounded decimals.
• S006 · premise_and_result_audit — Recompute block0 original weighted integral with exact rational arithmetic, not rounded decimals.
• S005 · premise_and_result_audit — Recompute block0 atom0 weighted X with exact rational arithmetic, not rounded decimals.
• S004 · premise_and_result_audit — Recompute block0 mass with exact rational arithmetic, not rounded decimals.
• S003 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
• S002 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
• S001 · premise_and_result_audit — Recompute conditional model whole mass sum with exact rational arithmetic, not rounded decimals.

Result

([[0, [0], 24/49, -10], [1, [1, 2], 22/49, 34/11], [2, [3], 3/49, 10]], [-10, 34/11, 34/11, 10])

The full substitutions and premise checks give the original answer; source identity,format and status are unchanged.

This question review and source binding

Review date: 2026-10-26

Original questions, answers, step expressions, numeric ASTs and historical records are retained. Source candidate labels remain historical and are not overwritten as formal proof.