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✓ 6 results · all verified · 0 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 6 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Matchings, Covers, Menger and Network Flows — Examples

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-02Open item page →

The middle edge of P4 is a maximal matching but the two end edges form a larger matching

Counterexample

Let P4 have consecutive vertices 1,2,3,4 and let M={23}. Then M is maximal but not maximum: {12,34} is a matching of size two.

Facts & Assumptions

Given: The path P4 and its middle-edge matching M={23}.

[L1]

A matching is maximum exactly when it has no augmenting path (Berge's theorem: a matching is maximum if and only if it has no augmenting path).

Verification

Verification technique: direct.

1.1

The two remaining edges 12 and 34 each meet 23, so neither can be added to M; hence M is maximal.

given
1.2

The path 1,2,3,4 is M-augmenting, and [L1] therefore also shows that M is not maximum.

L1
2.1

Independently, {12,34} is a disjoint two-edge matching, so the maximal and maximum notions differ in this finite path.

step 1.1step 1.2∎
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-02Open item page →

Three left vertices with only two collective neighbours fail Hall's condition and cannot all be matched

Example

Take left part X={x1,x2,x3}, right part Y={a,b}, and all six possible edges between the two parts. This graph has no matching saturating X.

Facts & Assumptions

Given: The displayed finite bipartite graph.

[L1]

A finite bipartite graph has a matching saturating its left part exactly when Hall's condition holds (Hall's marriage theorem for a finite bipartite graph).

Verification

Verification technique: direct.

1.1

For S=X, the neighbourhood is N(S)={a,b}, so ∣N(S)∣=2<3=∣S∣.

given
1.2

Thus Hall's condition fails, and [L1] proves that no matching can saturate all three left vertices.

L1
2.1

The two available right vertices also show directly that any matching has at most two edges.

step 1.1step 1.2∎
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-02Open item page →

A three-set family with an explicit system of distinct representatives

Example

For A1={a,b}, A2={b,c}, and A3={a,c}, the assignment r(1)=a, r(2)=b, r(3)=c is an SDR.

Facts & Assumptions

Given: The three finite sets A1,A2,A3.

[L1]

A family with finite index set and finite union has an SDR exactly when every indexed subfamily has union at least as large as its index set (A finite family has an SDR if and only if every subfamily has a union at least as large as its index set).

Verification

Verification technique: constructive.

1.1

Each singleton union has size two, each two-set union is {a,b,c}, and the three-set union is {a,b,c}; the Hall union inequalities all hold.

givenconstruct
1.2

By [L1], the family has an SDR.

L1
2.1

The displayed assignment chooses an element of each Ai and has three distinct values, so it is the promised SDR.

step 1.1step 1.2discharge-construct∎
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-02Open item page →

K3 has ν(K3)=1<2=τ(K3), so König's equality needs bipartiteness

Counterexample

In the triangle K3, every matching has at most one edge, while every vertex cover has at least two vertices. Hence ν(K3)=1<2=τ(K3).

Facts & Assumptions

Given: The complete graph K3 on three vertices.

[L1]

König's equality applies to finite bipartite graphs (König's theorem: ν(G)=τ(G) for every finite bipartite graph).

Verification

Verification technique: direct.

1.1

Any two edges of K3 share a vertex, so a matching has at most one edge; any one edge gives ν(K3)=1.

given
1.2

Deleting one vertex leaves an edge, so one vertex is not a cover; two vertices cover all edges, giving τ(K3)=2.

1.3

Thus ν(K3)<τ(K3), and [L1] shows precisely why this does not contradict König's theorem: K3 is not bipartite.

L1
2.1

This triangle is a finite witness that bipartiteness is a necessary hypothesis for the equality.

step 1.1step 1.2step 1.3∎
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-02Open item page →

A four-vertex integral network with an exhibited maximum flow and minimum cut of value five

Example

Let the vertices be s,u,v,t, with labelled arcs and capacities s ⁣→u:3,s ⁣→v:2,u ⁣→v:1,u ⁣→t:2,v ⁣→t:3. The flow with values 3,2,1,2,3 in that order has value five and is maximum.

Facts & Assumptions

Given: The displayed finite integral network and flow f.

[L1]

Finite integral max-flow min-cut equates a maximum flow value and a minimum cut capacity (Ford-Fulkerson terminates for finite integer capacities and proves max-flow min-cut with an integral maximum flow).

Verification

Verification technique: direct.

1.1

At u, incoming flow 3 equals outgoing flow 1+2, and at v, incoming flow 2+1 equals outgoing flow 3; every arc value is within its capacity.

given
1.2

The flow value is 3+2=5, while the cut S={s} has capacity 3+2=5.

1.3

By [L1], the exhibited feasible flow and cut of common value five are respectively maximum and minimum.

L1
2.1

This network therefore has max-flow value and min-cut capacity both equal to five.

step 1.1step 1.2step 1.3∎
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-02Open item page →

In K2,3, the two vertices in the two-part have three internally disjoint paths and a minimum separator of size three

Example

Let K2,3 have two-part {x1,x2} and three-part {y1,y2,y3}. The paths x1yix2 for i=1,2,3 are internally vertex-disjoint, and {y1,y2,y3} is a minimum x1-x2 separator.

Facts & Assumptions

Given: The displayed complete bipartite graph K2,3.

[L1]

For nonadjacent terminals, finite vertex Menger equates maximum internally disjoint paths and minimum vertex separators (Menger's theorem: the finite directed and undirected arc, edge and nonadjacent-vertex forms).

Verification

Verification technique: direct.

1.1

The three paths x1y1x2, x1y2x2, and x1y3x2 have distinct internal vertices.

given
1.2

Deleting all three yi destroys every x1-x2 path, while deleting fewer leaves some yi and its two-edge path.

1.3

The terminals are nonadjacent, so [L1] agrees with the direct calculation: both the packing and separator numbers equal three.

L1
2.1

This is a concrete equality case for the local undirected vertex form.

step 1.1step 1.2step 1.3∎