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Question 10756: Aggregate a Marginal from the Complete Joint Path Law

On this page
  1. Original question and givens
  2. Definition and scope
  3. Step-by-step derivation
  4. Reverse checks
  5. Result
  6. This question review and source binding

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R0020-10756 · q-20261013-advance-20261023-r06-discrete-stochastic-process-0031

Original question and givens

Use one common finite probability space specified by the complete distinct equal-horizon path list=[[5, 5, 6], [5, 6, 6], [6, 6, 5]] and aligned exact masses=[1/4, 1/4, 1/2]. Preserve the original path-mass pairing. A qualified joint path law has nonnegative masses summing exactly to 1. Time starts at 0. Marginals do not determine the joint law or Markov property; a finite horizon gives no stationarity, ergodicity or infinite-time extension. Use exact reduced rational outputs with positive denominators, omitting /1 for integers. Require a qualified law. time=2. Give (time,every [state,aggregated mass] row in increasing numeric state order), retaining listed state values even when their aggregated mass is zero.

  • G001 — Use one common finite probability space specified by the complete distinct equal-horizon path list=[[5, 5, 6], [5, 6, 6], [6, 6, 5]] and aligned exact masses=[1/4, 1/4, 1/2]. Preserve the original path-mass pairing. A qualified joint path law has nonnegative masses summing exactly to 1. Time starts at 0. Marginals do not determine the joint law or Markov property; a finite horizon gives no stationarity, ergodicity or infinite-time extension. Use exact reduced rational outputs with positive denominators, omitting /1 for integers. Require a qualified law. time=2. Give (time,every [state,aggregated mass] row in increasing numeric state order), retaining listed state values even when their aggregated mass is zero.

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.

Step-by-step derivation

S001 · implies

Before

original support index=0;path=[5, 5, 6];raw mass=[1, 4]

After

aligned reduced mass=1/4

Conditions: none

Complete paths are distinct and share one positive horizon.Masses remain paired to original support indices.Reduce fractions only:do not sort paths or divide by a total to repair an unqualified candidate.

Step identifiers and dependencies

Rule: path_mass_original_support_pairing · Uses: G001

S002 · implies

Before

original support index=1;path=[5, 6, 6];raw mass=[1, 4]

After

aligned reduced mass=1/4

Conditions: none

Complete paths are distinct and share one positive horizon.Masses remain paired to original support indices.Reduce fractions only:do not sort paths or divide by a total to repair an unqualified candidate.

Step identifiers and dependencies

Rule: path_mass_original_support_pairing · Uses: G001, S001

S003 · implies

Before

original support index=2;path=[6, 6, 5];raw mass=[1, 2]

After

aligned reduced mass=1/2

Conditions: none

Complete paths are distinct and share one positive horizon.Masses remain paired to original support indices.Reduce fractions only:do not sort paths or divide by a total to repair an unqualified candidate.

Step identifiers and dependencies

Rule: path_mass_original_support_pairing · Uses: G001, S002

S004 · calculation

Before

whole path-law mass sum := sum(1/4, 1/4, 1/2)

After

whole path-law mass sum = 1

Conditions: none

Compute exactly with this step's original roles and operands,without floating approximation or reordering source data.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S003

S005 · implies

Before

horizon=3;normalized aligned masses=[1/4, 1/4, 1/2]

After

all nonnegative=Yes;total=1;qualified joint law=Yes

Conditions: none

The qualification task may retain negative or unnormalized masses to report failure.Marginal/event/joint queries require the whole law nonnegative with total exactly1.A finite horizon establishes neither Markov behavior nor stationarity.

Step identifiers and dependencies

Rule: whole_finite_joint_law_qualification · Uses: G001, S004

S006 · calculation

Before

marginal path0 bucket update := sum(0, 1/4)

After

marginal path0 bucket update = 1/4

Conditions: none

Compute exactly with this step's original roles and operands,without floating approximation or reordering source data.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S005

S007 · implies

Before

support index=0;time=2;state=6;original mass=1/4;previous bucket=0

After

updated state mass=1/4

Conditions: none

Aggregate paths with the same state at this time without reassigning masses.Retain a listed state's bucket even when its total is0.

Step identifiers and dependencies

Rule: marginal_all_paths_including_zero_mass · Uses: G001, S006

S008 · calculation

Before

marginal path1 bucket update := sum(1/4, 1/4)

After

marginal path1 bucket update = 1/2

Conditions: none

Compute exactly with this step's original roles and operands,without floating approximation or reordering source data.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S007

S009 · implies

Before

support index=1;time=2;state=6;original mass=1/4;previous bucket=1/4

After

updated state mass=1/2

Conditions: none

Aggregate paths with the same state at this time without reassigning masses.Retain a listed state's bucket even when its total is0.

Step identifiers and dependencies

Rule: marginal_all_paths_including_zero_mass · Uses: G001, S008

S010 · calculation

Before

marginal path2 bucket update := sum(0, 1/2)

After

marginal path2 bucket update = 1/2

Conditions: none

Compute exactly with this step's original roles and operands,without floating approximation or reordering source data.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S009

S011 · implies

Before

support index=2;time=2;state=5;original mass=1/2;previous bucket=0

After

updated state mass=1/2

Conditions: none

Aggregate paths with the same state at this time without reassigning masses.Retain a listed state's bucket even when its total is0.

Step identifiers and dependencies

Rule: marginal_all_paths_including_zero_mass · Uses: G001, S010

S012 · implies

Before

requested time=2;all state buckets=[[5, 1/2], [6, 1/2]]

After

marginal only;no joint or Markov conclusion

Conditions: none

Order marginal states numerically.A marginal table determines neither two-time dependence,the joint law nor Markov behavior.

Step identifiers and dependencies

Rule: marginal_not_joint_or_Markov_certificate · Uses: G001, S011

Reverse checks

  • S012 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S011 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S010 · premise_and_result_audit — Recompute marginal path2 bucket update with exact rational arithmetic, not rounded decimals.
  • S009 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S008 · premise_and_result_audit — Recompute marginal path1 bucket update with exact rational arithmetic, not rounded decimals.
  • S007 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S006 · premise_and_result_audit — Recompute marginal path0 bucket update with exact rational arithmetic, not rounded decimals.
  • S005 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S004 · premise_and_result_audit — Recompute whole path-law mass sum 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 — Check against the original data and this step's premises; a one-way implication is not an equivalence.

Result

(2, [[5, 1/2], [6, 1/2]])

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.

Source hashes and review receipts
  • input commit: 0f7be61e2c22317a4075561dc822c87d881a50db
  • original question SHA-256: 790aff4c24a1861c79a98dbc1e6ca0aadf2768632fe2dccf659d697c298351b5
  • candidate record SHA-256: dac27955ce1d4c09eb9838ecd4884e505c412422f3b481d4528af99da4c26df6
  • semantic review receipt SHA-256: b4c47938fd38085d44967226cfa8337d61334455472e7307c60d3a488cef598f
  • question-first witness SHA-256: 3c23baa97a5933bc07b44f2257017ef4e845bf1429bd6f5381410681c43b97e4
  • Lean: NOT_RUN · human review: NOT_PERFORMED
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