Handshaking lemma

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In this graph, an even number of vertices (the four vertices numbered 2, 4, 5, and 6) have odd degrees. The sum of degrees of all six vertices is 2 + 3 + 2 + 3 + 3 + 1 = 14, twice the number of edges. 6n-graf.svg
In this graph, an even number of vertices (the four vertices numbered 2, 4, 5, and 6) have odd degrees. The sum of degrees of all six vertices is 2 + 3 + 2 + 3 + 3 + 1 = 14, twice the number of edges.

In graph theory, a branch of mathematics, the handshaking lemma is the statement that, in every finite undirected graph, the number of vertices that touch an odd number of edges is even. In more colloquial terms, in a party of people some of whom shake hands, the number of people who shake an odd number of other people's hands is even. [1] The handshaking lemma is a consequence of the degree sum formula, also sometimes called the handshaking lemma, [2] according to which the sum of the degrees (the numbers of times each vertex is touched) equals twice the number of edges in the graph. Both results were proven by LeonhardEuler  ( 1736 ) in his famous paper on the Seven Bridges of Königsberg that began the study of graph theory. [3]

Contents

Beyond the Bridges of Königsberg and their generalization to Euler tours, other applications include proving that for certain combinatorial structures, the number of structures is always even, and assisting with the proofs of Sperner's lemma and the mountain climbing problem. The complexity class PPA encapsulates the difficulty of finding a second odd vertex, given one such vertex in a large implicitly-defined graph.

Definitions and statement

An undirected graph consists of a system of vertices, and edges connecting unordered pairs of vertices. In any graph, the degree of a vertex is defined as the number of edges that have as an endpoint. For graphs that are allowed to contain loops connecting a vertex to itself, a loop should be counted as contributing two units to the degree of its endpoint for the purposes of the handshaking lemma. [2] Then, the handshaking lemma states that, in every finite graph, there must be an even number of vertices for which is an odd number. [1] The vertices of odd degree in a graph are sometimes called odd nodes [4] or odd vertices; [5] in this terminology, the handshaking lemma can be rephrased as the statement that every graph has an even number of odd nodes. [4] [5]

The degree sum formula states that

where is the set of vertices in the graph and is the set of edges in the graph. That is, the sum of the vertex degrees equals twice the number of edges. [6] In directed graphs, another form of the degree-sum formula states that the sum of in-degrees of all vertices, and the sum of out-degrees, both equal the number of edges. Here, the in-degree is the number of incoming edges, and the out-degree is the number of outgoing edges. [7] A version of the degree sum formula also applies to finite families of sets or, equivalently, multigraphs: the sum of the degrees of the elements (where the degree equals the number of sets containing it) always equals the sum of the cardinalities of the sets. [8]

Both results also apply to any subgraph of the given graph and in particular to its connected components. A consequence is that, for any odd vertex, there must exist a path connecting it to another odd vertex. [9]

Applications

Euler paths and tours

7 bridges.svg
Schematic view of Königsberg's seven bridges
Konigsberg graph.svg
Graph with vertices for each land mass and an edge for each bridge

Leonhard Euler first proved the handshaking lemma in his work on the Seven Bridges of Königsberg, asking for a walking tour of the city of Königsberg (now Kaliningrad) crossing each of its seven bridges once. This can be translated into graph-theoretic terms as asking for an Euler path or Euler tour of a connected graph representing the city and its bridges: a walk through the graph that traverses each edge once, either ending at a different vertex than it starts in the case of an Euler path or returning to its starting point in the case of an Euler tour. Euler stated the fundamental results for this problem in terms of the number of odd vertices in the graph, which the handshaking lemma restricts to be an even number. If this number is zero, an Euler tour exists, and if it is two, an Euler path exists. Otherwise, the problem cannot be solved. In the case of the Seven Bridges of Königsberg, the graph representing the problem has four odd vertices, and has neither an Euler path nor an Euler tour. [3]

In the Christofides–Serdyukov algorithm for approximating the traveling salesperson problem, the fact that the number of odd vertices is even plays a key role, allowing the algorithm to connect those vertices in pairs in order to construct a graph on which an Euler tour forms an approximate TSP tour. [10]

Combinatorial enumeration

Several combinatorial structures may be shown to be even in number by relating them to the odd vertices in an appropriate "exchange graph". [11]

For instance, as C. A. B. Smith proved, in any cubic graph there must be an even number of Hamiltonian cycles through any fixed edge ; these are cycles that pass through each vertex exactly once. Thomason (1978) used a proof based on the handshaking lemma to extend this result to graphs in which all vertices have odd degree. Thomason defines an exchange graph , the vertices of which are in one-to-one correspondence with the Hamiltonian paths in beginning at and continuing through edge . Two such paths and are defined as being connected by an edge in if one may obtain by adding a new edge to the end of and removing another edge from the middle of . This operation is reversible, forming a symmetric relation, so is an undirected graph. If path ends at vertex , then the vertex corresponding to in has degree equal to the number of ways that may be extended by an edge that does not connect back to ; that is, the degree of this vertex in is either (an even number) if does not form part of a Hamiltonian cycle through , or (an odd number) if is part of a Hamiltonian cycle through . Since has an even number of odd vertices, must have an even number of Hamiltonian cycles through . [12]

Other applications

The handshaking lemma and degree sum formula are also used in proofs of several other results in mathematics. These include the following:

A Sperner coloring of a triangulated triangle, shaded to highlight the three small triangles that have all three vertex colors Sperner2d.svg
A Sperner coloring of a triangulated triangle, shaded to highlight the three small triangles that have all three vertex colors
The mountain climbing problem Mountain climbing problem.gif
The mountain climbing problem

Proof

Euler's proof of the degree sum formula uses the technique of double counting: he counts the number of incident pairs where is an edge and vertex is one of its endpoints, in two different ways. Vertex belongs to pairs, where (the degree of ) is the number of edges incident to it. Therefore, the number of incident pairs is the sum of the degrees. However, each edge in the graph belongs to exactly two incident pairs, one for each of its endpoints; therefore, the number of incident pairs is . Since these two formulas count the same set of objects, they must have equal values. The same proof can be interpreted as summing the entries of the incidence matrix of the graph in two ways, by rows to get the sum of degrees and by columns to get twice the number of edges. [5]

For graphs, the handshaking lemma follows as a corollary of the degree sum formula. [8] In a sum of integers, the parity of the sum is not affected by the even terms in the sum; the overall sum is even when there is an even number of odd terms, and odd when there is an odd number of odd terms. Since one side of the degree sum formula is the even number , the sum on the other side must have an even number of odd terms; that is, there must be an even number of odd-degree vertices. [5]

Alternatively, it is possible to use mathematical induction to prove the degree sum formula, [2] or to prove directly that the number of odd-degree vertices is even, by removing one edge at a time from a given graph and using a case analysis on the degrees of its endpoints to determine the effect of this removal on the parity of the number of odd-degree vertices. [17]

In special classes of graphs

Clebsch Lombardi.svg
The Clebsch graph, regular of degree five, has an even number of vertices (16) and a number of edges (40) that is a multiple of five.
Rhombicdodecahedron.jpg
The rhombic dodecahedron is biregular with six vertices of degree four and eight vertices of degree three; 6 × 4 = 8 × 3 = 24, its number of edges.

Regular graphs

The degree sum formula implies that every -regular graph with vertices has edges. [18] Because the number of edges must be an integer, it follows that when is odd the number of vertices must be even. [19] Additionally, for odd values of , the number of edges must be divisible by . [20]

Bipartite and biregular graphs

A bipartite graph has its vertices split into two subsets, with each edge having one endpoint in each subset. It follows from the same double counting argument that, in each subset, the sum of degrees equals the number of edges in the graph. In particular, both subsets have equal degree sums. [21] For biregular graphs, with a partition of the vertices into subsets and with every vertex in a subset having degree , it must be the case that ; both equal the number of edges. [22]

Infinite graphs

An infinite graph with only one odd vertex Infinite graph one direction.svg
An infinite graph with only one odd vertex

The handshaking lemma does not apply in its usual form to infinite graphs, even when they have only a finite number of odd-degree vertices. For instance, an infinite path graph with one endpoint has only a single odd-degree vertex rather than having an even number of such vertices. However, it is possible to formulate a version of the handshaking lemma using the concept of an end, an equivalence class of semi-infinite paths ("rays") considering two rays as equivalent when there exists a third ray that uses infinitely many vertices from each of them. The degree of an end is the maximum number of edge-disjoint rays that it contains, and an end is odd if its degree is finite and odd. More generally, it is possible to define an end as being odd or even, regardless of whether it has infinite degree, in graphs for which all vertices have finite degree. Then, in such graphs, the number of odd vertices and odd ends, added together, is either even or infinite. [23]

Computational complexity

In connection with the exchange graph method for proving the existence of combinatorial structures, it is of interest to ask how efficiently these structures may be found. For instance, suppose one is given as input a Hamiltonian cycle in a cubic graph; it follows from Smith's theorem that there exists a second cycle. How quickly can this second cycle be found? Papadimitriou (1994) investigated the computational complexity of questions such as this, or more generally of finding a second odd-degree vertex when one is given a single odd vertex in a large implicitly-defined graph. He defined the complexity class PPA to encapsulate problems such as this one; [24] a closely related class defined on directed graphs, PPAD, has attracted significant attention in algorithmic game theory because computing a Nash equilibrium is computationally equivalent to the hardest problems in this class. [25]

Computational problems proven to be complete for the complexity class PPA include computational tasks related to Sperner's lemma [26] and to fair subdivision of resources according to the Hobby–Rice theorem. [27]

Notes

  1. 1 2 Hein, James L. (2015), "Example 3: The Handshaking Problem", Discrete Structures, Logic, and Computability, Jones & Bartlett Publishers, p. 703, ISBN   9781284070408
  2. 1 2 3 Gunderson, David S. (2014), Handbook of Mathematical Induction: Theory and Applications, CRC Press, p. 240, ISBN   9781420093650
  3. 1 2 Euler, L. (1736), "Solutio problematis ad geometriam situs pertinentis" (PDF), Commentarii Academiae Scientiarum Imperialis Petropolitanae, 8: 128–140. Reprinted and translated in Biggs, N. L.; Lloyd, E. K.; Wilson, R. J. (1976), Graph Theory 1736–1936, Oxford University Press
  4. 1 2 Higgins, Peter M. (1998), Mathematics for the Curious, Oxford University Press, p. 201, ISBN   9780192880727
  5. 1 2 3 4 Biggs, Norman L. (2002), "15.3: Degree", Discrete Mathematics, Oxford University Press, pp. 181–182, ISBN   9780198507178
  6. West, Douglas B. (1996), "1.3.3. Theorem. (Degree-Sum Formula)", Introduction to Graph Theory (2nd ed.), Prentice Hall, p. 26, ISBN   9780132278287
  7. Loehr, Nicholas (2011), "3.31. Theorem: Degree-Sum Formula for Digraphs", Bijective Combinatorics, CRC Press, p. 106, ISBN   9781439848869
  8. 1 2 Jukna, Stasys (2011), "Proposition 1.7", Extremal Combinatorics, Springer, p. 9, doi:10.1007/978-3-642-17364-6
  9. Ray, Santanu Saha (2012), "Theorem 2.2", Graph Theory with Algorithms and its Applications in Applied Science and Technology, Springer, p. 16, ISBN   9788132207504
  10. Christofides, Nicos (1976), Worst-case analysis of a new heuristic for the travelling salesman problem (PDF), Report 388, Graduate School of Industrial Administration, CMU. The handshaking lemma is cited at the top of page 2.
  11. Cameron, Kathie; Edmonds, Jack (1999), "Some graphic uses of an even number of odd nodes", Annales de l'Institut Fourier , 49 (3): 815–827, doi: 10.5802/aif.1694 , MR   1703426
  12. Thomason, A. G. (1978), "Hamiltonian cycles and uniquely edge colourable graphs", Advances in Graph Theory (Cambridge Combinatorial Conf., Trinity College, Cambridge, 1977), Annals of Discrete Mathematics, 3, pp. 259–268, doi:10.1016/S0167-5060(08)70511-9, MR   0499124
  13. Aigner, Martin; Ziegler, Günter M. (2018), "Section 28.6: Sperner's Lemma", Proofs from THE BOOK (6th ed.), Berlin: Springer, pp. 203–205, doi:10.1007/978-3-662-57265-8, ISBN   978-3-662-57264-1, MR   3823190
  14. Goodman, Jacob E.; Pach, János; Yap, Chee-K. (1989), "Mountain climbing, ladder moving, and the ring-width of a polygon" (PDF), The American Mathematical Monthly , 96 (6): 494–510, doi:10.2307/2323971, JSTOR   2323971, MR   0999412
  15. Lauri, Josef; Scapellato, Raffaele (2016), Topics in Graph Automorphisms and Reconstruction, London Mathematical Society Lecture Note Series, 432 (2nd ed.), Cambridge University Press, pp. 105–106, doi:10.1017/CBO9781316669846, ISBN   978-1-316-61044-2, MR   3496604
  16. Gale, David (1979), "The game of Hex and the Brouwer fixed-point theorem", The American Mathematical Monthly , 86 (10): 818–827, doi:10.1080/00029890.1979.11994922, JSTOR   2320146, MR   0551501
  17. Neto, Antonio Caminha Muniz (2018), An Excursion through Elementary Mathematics, Volume III: Discrete Mathematics and Polynomial Algebra, Problem Books in Mathematics, Springer, pp.  132, 562, ISBN   9783319779775
  18. Aldous, Joan M.; Wilson, Robin J. (2000), "Theorem 2.2", Graphs and Applications: an Introductory Approach, Undergraduate Mathematics Series, The Open University, Springer-Verlag, p.  44, ISBN   978-1-85233-259-4
  19. Wallis, W. D. (2011), "Section 7.1, Introduction to Graphs, Corollary 1", A Beginner's Guide to Discrete Mathematics (2nd ed.), Springer, p. 219, ISBN   9780817682866
  20. Clark, John; Holton, Derek Allan (1995), "Problem 1.4.6", A First Look at Graph Theory, Allied Publishers, p. 16, ISBN   9788170234630
  21. Lovász, László (2014), Combinatorial Problems and Exercises (2nd ed.), Elsevier, p. 281, ISBN   9780080933092
  22. Pisanski, Tomaž; Servatius, Brigitte (2013), "2.3.4: Semiregular Bipartite Graphs", Configurations from a Graphical Viewpoint, Birkhäuser Advanced Texts: Basler Lehrbücher, New York: Birkhäuser/Springer, p. 35, doi:10.1007/978-0-8176-8364-1, ISBN   978-0-8176-8363-4, MR   2978043
  23. Bruhn, Henning; Stein, Maya (2007), "On end degrees and infinite cycles in locally finite graphs", Combinatorica , 27 (3): 269–291, doi:10.1007/s00493-007-2149-0, MR   2345811 ; see Proposition 15, p. 284
  24. Papadimitriou, Christos H. (1994), "On the complexity of the parity argument and other inefficient proofs of existence", Journal of Computer and System Sciences , 48 (3): 498–532, doi:10.1016/S0022-0000(05)80063-7, MR   1279412
  25. Chen, Xi; Deng, Xiaotie (2006), "Settling the complexity of two-player Nash equilibrium", Proc. 47th Symp. Foundations of Computer Science , pp. 261–271, doi:10.1109/FOCS.2006.69, ECCC   TR05-140
  26. Grigni, Michelangelo (2001), "A Sperner lemma complete for PPA", Information Processing Letters , 77 (5–6): 255–259, doi:10.1016/S0020-0190(00)00152-6, MR   1818525
  27. Filos-Ratsikas, Aris; Goldberg, Paul W. (2018), "Consensus halving is PPA-complete", in Diakonikolas, Ilias; Kempe, David; Henzinger, Monika (eds.), Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2018, Los Angeles, CA, USA, June 25-29, 2018, pp. 51–64, arXiv: 1711.04503 , doi:10.1145/3188745.3188880

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