Question 35878: Zero Variance on Positive-Probability Support

Original question and givens

The nonempty finite sample space is S={0, 1, 2, 3}, with event family F=𝒫(S). The total function X:S→R has table {(0, -8), (1, -8), (2, -4), (3, 1001)}. In the displayed order of S, the nonnegative probability weights are [1/(10), 4/(10), 5/(10), 0/(10)], summing exactly to one. Is Var(X)=0 under this probability law? Constancy is required only at positive-weight outcomes.

• G001 — The nonempty finite sample space is S={0, 1, 2, 3}, with event family F=𝒫(S). The total function X:S→R has table {(0, -8), (1, -8), (2, -4), (3, 1001)}. In the displayed order of S, the nonnegative probability weights are [1/(10), 4/(10), 5/(10), 0/(10)], summing exactly to one. Is Var(X)=0 under this probability law? Constancy is required only at positive-weight outcomes.

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-variance

Step-by-step derivation

source roles = [qf-variance-zero-support, [F, S, denominator, operation, values, weights]]

derived = [variance, zero_variance, null]

Variance ORIGINAL nonnegative RAW weights sum := sum(1, 4, 5, 0)

Variance ORIGINAL nonnegative RAW weights sum = 10

source roles = [[0, 1, 2, 3], powerset(S), [-8, -8, -4, 1001], [1, 4, 5, 0], 10, null, null]

derived = [Yes]

Variance weight times transformed value i=0 := mul(1, -8)

Variance weight times transformed value i=0 = -8

source roles = [0, 0, -8, 1, null, null]

derived = [-8, 1/10]

Variance weight times transformed value i=1 := mul(4, -8)

Variance weight times transformed value i=1 = -32

source roles = [1, 1, -8, 4, null, null]

derived = [-8, 2/5]

Variance weight times transformed value i=2 := mul(5, -4)

Variance weight times transformed value i=2 = -20

source roles = [2, 2, -4, 5, null, null]

derived = [-4, 1/2]

Variance weight times transformed value i=3 := mul(0, 1001)

Variance weight times transformed value i=3 = 0

source roles = [3, 3, 1001, 0, null, null]

derived = [1001, 0]

Variance mean numerator sum wY := sum(-8, -32, -20, 0)

Variance mean numerator sum wY = -60

Variance exact expectation M over q := div(-60, 10)

Variance exact expectation M over q = -6

Variance i=0 Y times q := mul(-8, 10)

Variance i=0 Y times q = -80

Variance i=0 centered integer numerator := sub(-80, -60)

Variance i=0 centered integer numerator = -20

Variance i=0 centered numerator squared := mul(-20, -20)

Variance i=0 centered numerator squared = 400

Variance i=0 weight times squared numerator := mul(1, 400)

Variance i=0 weight times squared numerator = 400

Variance i=1 Y times q := mul(-8, 10)

Variance i=1 Y times q = -80

Variance i=1 centered integer numerator := sub(-80, -60)

Variance i=1 centered integer numerator = -20

Variance i=1 centered numerator squared := mul(-20, -20)

Variance i=1 centered numerator squared = 400

Variance i=1 weight times squared numerator := mul(4, 400)

Variance i=1 weight times squared numerator = 1600

Variance i=2 Y times q := mul(-4, 10)

Variance i=2 Y times q = -40

Variance i=2 centered integer numerator := sub(-40, -60)

Variance i=2 centered integer numerator = 20

Variance i=2 centered numerator squared := mul(20, 20)

Variance i=2 centered numerator squared = 400

Variance i=2 weight times squared numerator := mul(5, 400)

Variance i=2 weight times squared numerator = 2000

Variance i=3 Y times q := mul(1001, 10)

Variance i=3 Y times q = 10010

Variance i=3 centered integer numerator := sub(10010, -60)

Variance i=3 centered integer numerator = 10070

Variance i=3 centered numerator squared := mul(10070, 10070)

Variance i=3 centered numerator squared = 101404900

Variance i=3 weight times squared numerator := mul(0, 101404900)

Variance i=3 weight times squared numerator = 0

Variance sum ALL weighted squared numerators := sum(400, 1600, 2000, 0)

Variance sum ALL weighted squared numerators = 4000

Variance denominator q squared := mul(10, 10)

Variance denominator q squared = 100

Variance denominator q cubed binary second factor := mul(100, 10)

Variance denominator q cubed binary second factor = 1000

Variance probability population centered sum over q cubed := div(4000, 1000)

Variance probability population centered sum over q cubed = 4

source roles = [[-8, -8, -4, 1001], [1, 4, 5, 0], 10, -6, 4000, 1000]

derived = [4, [-8, -4], No]

source roles = [zero_variance, null, null]

derived = [4]

Reverse checks

• S035 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S034 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S033 · premise_and_result_audit — Recompute Variance probability population centered sum over q cubed with exact rational arithmetic, not rounded decimals.
• S032 · premise_and_result_audit — Recompute Variance denominator q cubed binary second factor with exact rational arithmetic, not rounded decimals.
• S031 · premise_and_result_audit — Recompute Variance denominator q squared with exact rational arithmetic, not rounded decimals.
• S030 · premise_and_result_audit — Recompute Variance sum ALL weighted squared numerators with exact rational arithmetic, not rounded decimals.
• S029 · premise_and_result_audit — Recompute Variance i=3 weight times squared numerator with exact rational arithmetic, not rounded decimals.
• S028 · premise_and_result_audit — Recompute Variance i=3 centered numerator squared with exact rational arithmetic, not rounded decimals.
• S027 · premise_and_result_audit — Recompute Variance i=3 centered integer numerator with exact rational arithmetic, not rounded decimals.
• S026 · premise_and_result_audit — Recompute Variance i=3 Y times q with exact rational arithmetic, not rounded decimals.
• S025 · premise_and_result_audit — Recompute Variance i=2 weight times squared numerator with exact rational arithmetic, not rounded decimals.
• S024 · premise_and_result_audit — Recompute Variance i=2 centered numerator squared with exact rational arithmetic, not rounded decimals.
• S023 · premise_and_result_audit — Recompute Variance i=2 centered integer numerator with exact rational arithmetic, not rounded decimals.
• S022 · premise_and_result_audit — Recompute Variance i=2 Y times q with exact rational arithmetic, not rounded decimals.
• S021 · premise_and_result_audit — Recompute Variance i=1 weight times squared numerator with exact rational arithmetic, not rounded decimals.
• S020 · premise_and_result_audit — Recompute Variance i=1 centered numerator squared with exact rational arithmetic, not rounded decimals.
• S019 · premise_and_result_audit — Recompute Variance i=1 centered integer numerator with exact rational arithmetic, not rounded decimals.
• S018 · premise_and_result_audit — Recompute Variance i=1 Y times q with exact rational arithmetic, not rounded decimals.
• S017 · premise_and_result_audit — Recompute Variance i=0 weight times squared numerator with exact rational arithmetic, not rounded decimals.
• S016 · premise_and_result_audit — Recompute Variance i=0 centered numerator squared with exact rational arithmetic, not rounded decimals.
• S015 · premise_and_result_audit — Recompute Variance i=0 centered integer numerator with exact rational arithmetic, not rounded decimals.
• S014 · premise_and_result_audit — Recompute Variance i=0 Y times q with exact rational arithmetic, not rounded decimals.
• S013 · premise_and_result_audit — Recompute Variance exact expectation M over q with exact rational arithmetic, not rounded decimals.
• S012 · premise_and_result_audit — Recompute Variance mean numerator sum wY with exact rational arithmetic, not rounded decimals.
• S011 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S010 · premise_and_result_audit — Recompute Variance weight times transformed value i=3 with exact rational arithmetic, not rounded decimals.
• S009 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S008 · premise_and_result_audit — Recompute Variance weight times transformed value i=2 with exact rational arithmetic, not rounded decimals.
• S007 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S006 · premise_and_result_audit — Recompute Variance weight times transformed value i=1 with exact rational arithmetic, not rounded decimals.
• S005 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S004 · premise_and_result_audit — Recompute Variance weight times transformed value i=0 with exact rational arithmetic, not rounded decimals.
• S003 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.
• S002 · premise_and_result_audit — Recompute Variance ORIGINAL nonnegative RAW weights sum with exact rational arithmetic, not rounded decimals.
• S001 · premise_and_result_audit — Reverse-audit THIS question’s original operands,roles and necessary premises;reconstruct the next step,without reversing a one-way implication.Numerical/finite-table checking is not formal proof of an arbitrary theorem.Original Q,bilingual sources,MKO,AST,status and history remain preserved.

Result

No

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.