# Question 15611: List Every Monochromatic Edge, Not Every Repeated Color

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This teaching derivation has second-context AI mathematical and bilingual semantic review, limited to the model and assumptions stated in this question. It has no human review or new Lean proof and does not promote the original question or MKO to Canonical truth.

R0030-15611 · q-20261014-advance-20261031-r05-graph-coloring-0036



## Original question and givens

Use the complete finite undirected loop-free simple graph on Fin(6)={0,…,5} with edges=[[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]]. Normalize each edge increasingly, then sort edges lexicographically; reversed duplicates and loops are forbidden. Keep isolated vertices in the carrier. No directed-graph conclusion is inferred. Total vertex colors=[10, 10, 11, 10, 11, 10] are labels, not cardinalities. Only adjacent endpoints must differ; nonadjacent vertices may share a color. A proper k-coloring uses at most k distinct labels, even if their numerical names exceed k−1. One such coloring gives only a chromatic-number upper bound, not optimality or a general greedy guarantee. Give (conflicting_edges,count,proper?), with edges in normalized sorted order.


- G001 — Use the complete finite undirected loop-free simple graph on Fin(6)={0,…,5} with edges=[[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]]. Normalize each edge increasingly, then sort edges lexicographically; reversed duplicates and loops are forbidden. Keep isolated vertices in the carrier. No directed-graph conclusion is inferred. Total vertex colors=[10, 10, 11, 10, 11, 10] are labels, not cardinalities. Only adjacent endpoints must differ; nonadjacent vertices may share a color. A proper k-coloring uses at most k distinct labels, even if their numerical names exceed k−1. One such coloring gives only a chromatic-number upper bound, not optimality or a general greedy guarantee. Give (conflicting_edges,count,proper?), with edges in normalized sorted order.





## 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-graph-coloring](https://ocme.evemisslab.com/en/mko/mko-graph-coloring/)





## Step-by-step derivation

S001 · impliesBefore

complete undirected vertex carrier Fin(6);original edges=[[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]]

After

normalized sorted simple edges=[[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]];all vertices including isolates=[0, 1, 2, 3, 4, 5]

Conditions: none

Normalize endpoints and then sort edges lexicographically.Reversed duplicates are still duplicates and are rejected,as are loops.The complete carrier includes vertices absent from the edge list.

Step identifiers and dependenciesRule: graph_complete_simple_carrier_normalized_edge_order · Uses: G001





S002 · impliesBefore

colors:normalized edge index=0;edge=[0, 1];endpoint labels=[10, 10]

After

different endpoints=No;same-label conflict=Yes

Conditions: none

Check the endpoints of each actual edge.Reused labels at nonadjacent vertices are not conflicts,and one crossing edge does not certify all other edges.

Step identifiers and dependenciesRule: graph_every_edge_endpoint_constraint · Uses: G001, S001





S003 · impliesBefore

colors:normalized edge index=1;edge=[1, 2];endpoint labels=[10, 11]

After

different endpoints=Yes;same-label conflict=No

Conditions: none

Check the endpoints of each actual edge.Reused labels at nonadjacent vertices are not conflicts,and one crossing edge does not certify all other edges.

Step identifiers and dependenciesRule: graph_every_edge_endpoint_constraint · Uses: G001, S002





S004 · impliesBefore

colors:normalized edge index=2;edge=[2, 3];endpoint labels=[11, 10]

After

different endpoints=Yes;same-label conflict=No

Conditions: none

Check the endpoints of each actual edge.Reused labels at nonadjacent vertices are not conflicts,and one crossing edge does not certify all other edges.

Step identifiers and dependenciesRule: graph_every_edge_endpoint_constraint · Uses: G001, S003





S005 · impliesBefore

colors:normalized edge index=3;edge=[3, 4];endpoint labels=[10, 11]

After

different endpoints=Yes;same-label conflict=No

Conditions: none

Check the endpoints of each actual edge.Reused labels at nonadjacent vertices are not conflicts,and one crossing edge does not certify all other edges.

Step identifiers and dependenciesRule: graph_every_edge_endpoint_constraint · Uses: G001, S004





S006 · impliesBefore

colors:normalized edge index=4;edge=[4, 5];endpoint labels=[11, 10]

After

different endpoints=Yes;same-label conflict=No

Conditions: none

Check the endpoints of each actual edge.Reused labels at nonadjacent vertices are not conflicts,and one crossing edge does not certify all other edges.

Step identifiers and dependenciesRule: graph_every_edge_endpoint_constraint · Uses: G001, S005





S007 · impliesBefore

total original vertex colors=[10, 10, 11, 10, 11, 10];all normalized conflicts=[[0, 1]]

After

increasing distinct used labels=[10, 11];used count=2;all edges proper=No

Conditions: none

Colors are names:count distinct used labels rather than maximum label plus1.Only adjacent equal colors conflict;nonadjacent color reuse is allowed.

Step identifiers and dependenciesRule: coloring_distinct_label_count_not_numeric_magnitude · Uses: G001, S006









## Reverse checks


- 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 — Check against the original data and this step's premises; a one-way implication is not an equivalence.
- 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 — Check against the original data and this step's premises; a one-way implication is not an equivalence.
- 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

([[0, 1]], 1, 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.

Source hashes and review receipts
- input commit: 0f7be61e2c22317a4075561dc822c87d881a50db
- original question SHA-256: f3b8a983c7d6c8b2a12f73b90ca08790b485449fce077ba0a52bd275ab042fef
- candidate record SHA-256: c31ac19de137a0a73b4533c4fb57fe09876a5e58828b6611bbe5c5d9b2de972b
- semantic review receipt SHA-256: 73bc08066ffb1a81eacb2d4e288d03f522aeefd3949fa0d97da41b484ed737bc
- question-first witness SHA-256: ac120452a208b257b8270f38351a09dcd832cdbc8d9db6b69933f83e43cc9336
- Lean: NOT_RUN · human review: NOT_PERFORMED

[Same-source full JSON](https://ocme.evemisslab.com/data/question-derivations/questions/q-20261014-advance-20261031-r05-graph-coloring-0036.json)




