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3 results · all verified · 1 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Classical NP-Completeness Reductions: Examples and Counterexamples

1 · Prerequisites

2 · Summary

These examples work through three of the page's recurring patterns on small instances. The first writes down an explicit clause-cluster graph and clique, the second traces the NAE-to-colouring construction on a toy formula, and the counterexample shows why a yes-preserving map can still fail to be a valid many-one reduction.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-05Open item page →

A worked clause-cluster instance witnessing that CLIQUE is NP-complete

Example

Consider the formula φ=(xyz)(¬xyz)(x¬yz).

Form a graph with one vertex for each of the nine displayed literal occurrences. Join two vertices exactly when they come from different clauses and their literal labels are not complementary.

Facts & Assumptions

Given: The above 3-CNF formula φ.

[F1]

A CLIQUE instance asks for k pairwise adjacent vertices, by Clique, independent set, and vertex cover decision problems.

[L1]

The reduction theorem states that the clause-occurrence construction gives a CLIQUE yes-instance exactly when the input formula is satisfiable, by 3SAT polynomial-time many-one reduces to CLIQUE.

[L2]

CLIQUE is NP-complete, by CLIQUE is NP-complete.

Verification

technique · direct
1.1

In the graph defined in the example, choose the vertices labeled by the literal z in the first, second, and third clauses. These occurrences come from different clauses and no two are complementary, so every pair is adjacent. Thus they form a clique of size 3.

F1givenconstruct
2.1

The assignment z=1 satisfies all three clauses of φ, so the explicitly constructed clique agrees with the iff asserted by [L1]. This concrete yes-instance therefore illustrates the reduction theorem and, through [L2], the NP-completeness conclusion for CLIQUE.

L1L2step 1.1
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-05Open item page →

A small 3SAT instance and its three-colourability gadget graph

Example

Take the one-clause formula φ=(xyz). The reduction introduces the global variable w and one fresh splitter variable s, producing the NAE clauses N1=NAE(x,y,s),N2=NAE(¬s,z,w).

Facts & Assumptions

Given: The satisfying assignment x=1, y=0, z=0, together with w=0 and s=0.

[F1]

A proper three-colouring uses the colours 0,1,2 and forbids equal colours on adjacent vertices, by The three-colourability decision problem.

[L1]

The reduction to 3-COLORABILITY first converts a 3-CNF clause to NAE clauses and then builds one variable triangle per variable and one clause triangle per NAE clause, by 3SAT polynomial-time many-one reduces to 3-COLORABILITY.

Verification

technique · direct
1.1

Under the given assignment, both NAE clauses are satisfied: (x,y,s)=(1,0,0) is not all equal, and (¬s,z,w)=(1,0,0) is not all equal.

L1given
2.1

Define the graph directly: take a distinguished vertex ν; for each variable u{x,y,z,w,s} add the triangle (u,¬u,ν); for each of the two ordered NAE clauses add a triangle of three position vertices and join its rth vertex to the literal vertex in position r. Colour ν by 2. In the variable triangles, colour each literal vertex by its Boolean value, so x,¬x receive 1,0, y,¬y receive 0,1, z,¬z receive 0,1, w,¬w receive 0,1, and s,¬s receive 0,1.

F1step 1.1construct
3.1

For the clause triangle for N1, the literals x and y have different truth values, so colour their two position vertices by the opposite colours 0 and 1, and colour the remaining position vertex by 2. Do the same for N2. Every clause triangle then uses 0,1,2, and each clause vertex differs from the colour of its adjacent literal vertex. Thus the explicitly defined graph is properly three-coloured.

F1step 2.1construct
4.1

This worked instance shows concretely how the theorem's NAE assignment is converted into a proper three-colouring.

L1step 1.1step 3.1
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

A forward-only mapping that is not a correct many-one reduction

Statement refuted

A gadget reduction is correct as soon as every yes-instance maps to a yes-instance.

Facts & Assumptions

Given: The constant map sending every 3-CNF formula to the CLIQUE instance (K1,1).

[F1]

The graph K1 has one vertex, so (K1,1) is a yes-instance of CLIQUE, by Clique, independent set, and vertex cover decision problems.

[L1]

A polynomial-time many-one reduction requires an iff between source and target membership, by Polynomial-time many-one reductions.

Counterexample

technique · direct
1.1

The constant map in the given data is total and polynomial-time, and every satisfiable 3-CNF formula is sent to the yes-instance (K1,1). So it preserves yes-instances in exactly the way promised by [L2].

F1L2givenconstruct
2.1

Consider the unsatisfiable formula (xxx)(¬x¬x¬x). It is still mapped to (K1,1), which is a yes-instance by [F1]. Thus the reverse implication in [L1] fails, so the map is not a correct many-one reduction.

F1L1step 1.1
3.1

This explicit map therefore refutes the slogan [L2].

L2step 2.1

Sources