The classical mathematical puzzle known as the **three utilities problem** or sometimes **water, gas and electricity** asks for non-crossing connections to be drawn between three houses and three utility companies in the plane. When posing it in the early 20th century, Henry Dudeney wrote that it was already an old problem. It is an impossible puzzle: it is not possible to connect all nine lines without crossing. Versions of the problem on nonplanar surfaces such as a torus or Möbius strip, or that allow connections to pass through other houses or utilities, can be solved.

- History
- Statement
- Puzzle solutions
- Unsolvability
- Changing the rules
- Properties of the utility graph
- Rigidity
- Other graph-theoretic properties
- Generalizations
- References
- External links

This puzzle can be formalized as a problem in topological graph theory by asking whether the complete bipartite graph , with vertices representing the houses and utilities and edges representing their connections, has a graph embedding in the plane. The impossibility of the puzzle corresponds to the fact that is not a planar graph. Multiple proofs of this impossibility are known, and form part of the proof of Kuratowski's theorem characterizing planar graphs by two forbidden subgraphs, one of which is . The question of minimizing the number of crossings in drawings of complete bipartite graphs is known as Turán's brick factory problem, and for the minimum number of crossings is one.

is a graph with six vertices and nine edges, often referred to as the **utility graph** in reference to the problem.^{ [1] } It has also been called the **Thomsen graph** after 19th-century chemist Julius Thomsen. It is a well-covered graph, the smallest triangle-free cubic graph, and the smallest non-planar minimally rigid graph.

A review of the history of the three utilities problem is given by Kullman (1979). He states that most published references to the problem characterize it as "very ancient".^{ [2] } In the earliest publication found by Kullman, HenryDudeney ( 1917 ) names it "water, gas, and electricity". However, Dudeney states that the problem is "as old as the hills...much older than electric lighting, or even gas".^{ [3] } Dudeney also published the same puzzle previously, in * The Strand Magazine * in 1913.^{ [4] } A competing claim of priority goes to Sam Loyd, who was quoted by his son in a posthumous biography as having published the problem in 1900.^{ [5] }

Another early version of the problem involves connecting three houses to three wells.^{ [6] } It is stated similarly to a different (and solvable) puzzle that also involves three houses and three fountains, with all three fountains and one house touching a rectangular wall; the puzzle again involves making non-crossing connections, but only between three designated pairs of houses and wells or fountains, as in modern numberlink puzzles.^{ [7] } Loyd's puzzle "The Quarrelsome Neighbors" similarly involves connecting three houses to three gates by three non-crossing paths (rather than nine as in the utilities problem); one house and the three gates are on the wall of a rectangular yard, which contains the other two houses within it.^{ [8] }

As well as in the three utilities problem, the graph appears in late 19th-century and early 20th-century publications both in early studies of structural rigidity ^{ [9] }^{ [10] } and in chemical graph theory, where Julius Thomsen proposed it in 1886 for the then-uncertain structure of benzene.^{ [11] } In honor of Thomsen's work, is sometimes called the Thomsen graph.^{ [12] }

The three utilities problem can be stated as follows:

Suppose three houses each need to be connected to the water, gas, and electricity companies, with a separate line from each house to each company. Is there a way to make all nine connections without any of the lines crossing each other?

The problem is an abstract mathematical puzzle which imposes constraints that would not exist in a practical engineering situation. Its mathematical formalization is part of the field of topological graph theory which studies the embedding of graphs on surfaces. An important part of the puzzle, but one that is often not stated explicitly in informal wordings of the puzzle, is that the houses, companies, and lines must all be placed on a two-dimensional surface with the topology of a plane, and that the lines are not allowed to pass through other buildings; sometimes this is enforced by showing a drawing of the houses and companies, and asking for the connections to be drawn as lines on the same drawing.^{ [13] }^{ [14] }

In more formal graph-theoretic terms, the problem asks whether the complete bipartite graph is a planar graph. This graph has six vertices in two subsets of three: one vertex for each house, and one for each utility. It has nine edges, one edge for each of the pairings of a house with a utility, or more abstractly one edge for each pair of a vertex in one subset and a vertex in the other subset. Planar graphs are the graphs that can be drawn without crossings in the plane, and if such a drawing could be found, it would solve the three utilities puzzle.^{ [13] }^{ [14] }

As it is usually presented (on a flat two-dimensional plane), the solution to the utility puzzle is "no": there is no way to make all nine connections without any of the lines crossing each other. In other words, the graph is not planar. Kazimierz Kuratowski stated in 1930 that is nonplanar,^{ [15] } from which it follows that the problem has no solution. Kullman (1979), however, states that "Interestingly enough, Kuratowski did not publish a detailed proof that [ ] is non-planar".^{ [2] }

One proof of the impossibility of finding a planar embedding of uses a case analysis involving the Jordan curve theorem.^{ [16] } In this solution, one examines different possibilities for the locations of the vertices with respect to the 4-cycles of the graph and shows that they are all inconsistent with a planar embedding.^{ [17] }

Alternatively, it is possible to show that any bridgeless bipartite planar graph with vertices and edges has by combining the Euler formula (where is the number of faces of a planar embedding) with the observation that the number of faces is at most half the number of edges (the vertices around each face must alternate between houses and utilities, so each face has at least four edges, and each edge belongs to exactly two faces). In the utility graph, and so in the utility graph it is untrue that . Because it does not satisfy this inequality, the utility graph cannot be planar.^{ [18] }

is a toroidal graph, which means that it can be embedded without crossings on a torus, a surface of genus one.^{ [19] } These embeddings solve versions of the puzzle in which the houses and companies are drawn on a coffee mug or other such surface instead of a flat plane.^{ [20] } There is even enough additional freedom on the torus to solve a version of the puzzle with four houses and four utilities.^{ [21] }^{ [5] } Similarly, if the three utilities puzzle is presented on a sheet of a transparent material, it may be solved after twisting and gluing the sheet to form a Möbius strip.^{ [22] }

Another way of changing the rules of the puzzle that would make it solvable, suggested by Henry Dudeney, is to allow utility lines to pass through other houses or utilities than the ones they connect.^{ [3] }

Beyond the utility puzzle, the same graph comes up in several other mathematical contexts, including rigidity theory, the classification of cages and well-covered graphs, the study of graph crossing numbers, and the theory of graph minors.

The utility graph is a Laman graph, meaning that for almost all placements of its vertices in the plane, there is no way to continuously move its vertices while preserving all edge lengths, other than by a rigid motion of the whole plane, and that none of its spanning subgraphs have the same rigidity property. It is the smallest example of a nonplanar Laman graph.^{ [23] } Despite being a minimally rigid graph, it has non-rigid embeddings with special placements for its vertices.^{ [9] }^{ [24] } For general-position embeddings, a polynomial equation describing all possible placements with the same edge lengths has degree 16, meaning that in general there can be at most 16 placements with the same lengths. It is possible to find systems of edge lengths for which up to eight of the solutions to this equation describe realizable placements.^{ [24] }

is a triangle-free graph, in which every vertex has exactly three neighbors (a cubic graph). Among all such graphs, it is the smallest. Therefore, it is the (3,4)-cage, the smallest graph that has three neighbors per vertex and in which the shortest cycle has length four.^{ [25] }

Like all other complete bipartite graphs, it is a well-covered graph, meaning that every maximal independent set has the same size. In this graph, the only two maximal independent sets are the two sides of the bipartition, and are of equal sizes. is one of only seven 3-regular 3-connected well-covered graphs.^{ [26] }

Two important characterizations of planar graphs, Kuratowski's theorem that the planar graphs are exactly the graphs that contain neither nor the complete graph as a subdivision, and Wagner's theorem that the planar graphs are exactly the graphs that contain neither nor as a minor, make use of and generalize the non-planarity of .^{ [27] }

Pál Turán's "brick factory problem" asks more generally for a formula for the minimum number of crossings in a drawing of the complete bipartite graph in terms of the numbers of vertices and on the two sides of the bipartition. The utility graph may be drawn with only one crossing, but not with zero crossings, so its crossing number is one.^{ [5] }^{ [28] }

In graph theory, a **planar graph** is a graph that can be embedded in the plane, i.e., it can be drawn on the plane in such a way that its edges intersect only at their endpoints. In other words, it can be drawn in such a way that no edges cross each other. Such a drawing is called a **plane graph** or **planar embedding of the graph**. A plane graph can be defined as a planar graph with a mapping from every node to a point on a plane, and from every edge to a plane curve on that plane, such that the extreme points of each curve are the points mapped from its end nodes, and all curves are disjoint except on their extreme points.

In graph theory, **Kuratowski's theorem** is a mathematical forbidden graph characterization of planar graphs, named after Kazimierz Kuratowski. It states that a finite graph is planar if and only if it does not contain a subgraph that is a subdivision of *K*_{5} or of *K*_{3,3}.

In the mathematical field of graph theory, a **complete graph** is a simple undirected graph in which every pair of distinct vertices is connected by a unique edge. A **complete digraph** is a directed graph in which every pair of distinct vertices is connected by a pair of unique edges.

In graph theory, an **outerplanar graph** is a graph that has a planar drawing for which all vertices belong to the outer face of the drawing.

In graph theory, two graphs and are **homeomorphic** if there is a graph isomorphism from some **subdivision** of to some **subdivision** of . If the edges of a graph are thought of as lines drawn from one vertex to another, then two graphs are homeomorphic to each other in the graph-theoretic sense precisely if they are homeomorphic in the sense in which the term is used in topology.

In graph theory, an undirected graph *H* is called a **minor** of the graph *G* if *H* can be formed from *G* by deleting edges and vertices and by contracting edges.

In the mathematical field of graph theory, a **complete bipartite graph** or **biclique** is a special kind of bipartite graph where every vertex of the first set is connected to every vertex of the second set.

In the mathematical theory of matroids, a **graphic matroid** is a matroid whose independent sets are the forests in a given finite undirected graph. The dual matroids of graphic matroids are called **co-graphic matroids** or **bond matroids**. A matroid that is both graphic and co-graphic is called a **planar matroid**; these are exactly the graphic matroids formed from planar graphs.

In the mathematical discipline of graph theory, the **dual graph** of a plane graph G is a graph that has a vertex for each face of G. The dual graph has an edge for each pair of faces in G that are separated from each other by an edge, and a self-loop when the same face appears on both sides of an edge. Thus, each edge e of G has a corresponding dual edge, whose endpoints are the dual vertices corresponding to the faces on either side of e. The definition of the dual depends on the choice of embedding of the graph G, so it is a property of plane graphs rather than planar graphs. For planar graphs generally, there may be multiple dual graphs, depending on the choice of planar embedding of the graph.

In graph theory, **Wagner's theorem** is a mathematical forbidden graph characterization of planar graphs, named after Klaus Wagner, stating that a finite graph is planar if and only if its minors include neither *K*_{5} nor *K*_{3,3}. This was one of the earliest results in the theory of graph minors and can be seen as a forerunner of the Robertson–Seymour theorem.

In graph theory, a **book embedding** is a generalization of planar embedding of a graph to embeddings into a *book*, a collection of half-planes all having the same line as their boundary. Usually, the vertices of the graph are required to lie on this boundary line, called the *spine*, and the edges are required to stay within a single half-plane. The **book thickness** of a graph is the smallest possible number of half-planes for any book embedding of the graph. Book thickness is also called **pagenumber**, **stacknumber** or **fixed outerthickness**. Book embeddings have also been used to define several other graph invariants including the pagewidth and book crossing number.

In mathematics, **Fáry's theorem** states that any simple planar graph can be drawn without crossings so that its edges are straight line segments. That is, the ability to draw graph edges as curves instead of as straight line segments does not allow a larger class of graphs to be drawn. The theorem is named after István Fáry, although it was proved independently by Klaus Wagner (1936), Fáry (1948), and Sherman K. Stein (1951).

**Planarity** is a puzzle computer game by John Tantalo, based on a concept by Mary Radcliffe at Western Michigan University. The name comes from the concept of planar graphs in graph theory; these are graphs that can be embedded in the Euclidean plane so that no edges intersect. By Fáry's theorem, if a graph is planar, it can be drawn without crossings so that all of its edges are straight line segments. In the planarity game, the player is presented with a circular layout of a planar graph, with all the vertices placed on a single circle and with many crossings. The goal for the player is to eliminate all of the crossings and construct a straight-line embedding of the graph by moving the vertices one by one into better positions.

In graph theory, a branch of mathematics, many important families of graphs can be described by a finite set of individual graphs that do not belong to the family and further exclude all graphs from the family which contain any of these forbidden graphs as (induced) subgraph or minor. A prototypical example of this phenomenon is Kuratowski's theorem, which states that a graph is planar if and only if it does not contain either of two forbidden graphs, the complete graph *K*_{5} and the complete bipartite graph *K*_{3,3}. For Kuratowski's theorem, the notion of containment is that of graph homeomorphism, in which a subdivision of one graph appears as a subgraph of the other. Thus, every graph either has a planar drawing or it has a subdivision of one of these two graphs as a subgraph.

In graph theory, the **planarity testing** problem is the algorithmic problem of testing whether a given graph is a planar graph. This is a well-studied problem in computer science for which many practical algorithms have emerged, many taking advantage of novel data structures. Most of these methods operate in O(*n*) time, where *n* is the number of edges in the graph, which is asymptotically optimal. Rather than just being a single Boolean value, the output of a planarity testing algorithm may be a planar graph embedding, if the graph is planar, or an obstacle to planarity such as a Kuratowski subgraph if it is not.

In graph theory, the **crossing number**cr(*G*) of a graph G is the lowest number of edge crossings of a plane drawing of the graph G. For instance, a graph is planar if and only if its crossing number is zero. Determining the crossing number continues to be of great importance in graph drawing, as user studies have shown that drawing graphs with few crossings makes it easier for people to understand the drawing.

In the mathematics of graph drawing, **Turán's brick factory problem** asks for the minimum number of crossings in a drawing of a complete bipartite graph. The problem is named after Pál Turán, who formulated it while being forced to work in a brick factory during World War II.

In graph theory, a branch of mathematics, the **Herschel graph** is a bipartite undirected graph with 11 vertices and 18 edges, the smallest non-Hamiltonian polyhedral graph. It is named after British astronomer Alexander Stewart Herschel.

**Barnette's conjecture** is an unsolved problem in graph theory, a branch of mathematics, concerning Hamiltonian cycles in graphs. It is named after David W. Barnette, a professor emeritus at the University of California, Davis; it states that every bipartite polyhedral graph with three edges per vertex has a Hamiltonian cycle.

In topological graph theory, a **1-planar graph** is a graph that can be drawn in the Euclidean plane in such a way that each edge has at most one crossing point, where it crosses a single additional edge. If a 1-planar graph, one of the most natural generalizations of planar graphs, is drawn that way, the drawing is called a **1-plane graph** or **1-planar embedding of the graph**.

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*A Logical Approach to Discrete Math*, New York: Springer, p. 423–460, doi:10.1007/978-1-4757-3837-7, ISBN 978-1-4419-2835-1, S2CID 206657798 . See p. 437: " is known as the*utility graph*". - 1 2 Kullman, David (1979), "The utilities problem",
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- 3 Utilities Puzzle at Cut-the-knot
- The Utilities Puzzle explained and "solved" at Archimedes-lab.org
- Weisstein, Eric W., "Utility graph",
*MathWorld*

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