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Graph removal lemma

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In graph theory, the graph removal lemma states that when a graph contains few copies of a given subgraph, then all of the copies can be eliminated by removing a small number of edges.[1] The special case in which the subgraph is a triangle is known as the triangle removal lemma.[2]

The graph removal lemma can be used to prove Roth's theorem on 3-term arithmetic progressions,[3] and a generalization of it, the hypergraph removal lemma, can be used to prove Szemerédi's theorem.[4] It also has applications to property testing.[5]

Formulation

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Let be a graph with vertices. The graph removal lemma states that for any , there exists a constant such that for any -vertex graph with fewer than subgraphs isomorphic to , it is possible to eliminate all copies of by removing at most edges from .[1]

An alternative way to state this is to say that for any -vertex graph with subgraphs isomorphic to , it is possible to eliminate all copies of by removing edges from . Here, the indicates the use of little o notation.

In the case when is a triangle, resulting lemma is called triangle removal lemma.

History

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The original motivation for the study of triangle removal lemma was Ruzsa–Szemerédi problem. Initial formulation due to Imre Z. Ruzsa and Szemerédi from 1978 was slightly weaker than the triangle removal lemma used nowadays and can be roughly stated as follows: every locally linear graph on vertices contains edges.[6] This statement can be quickly deduced from a modern triangle removal lemma. Ruzsa and Szemerédi provided also an alternative proof of Roth's theorem on arithmetic progressions as a simple corollary.[6]

In 1986 during their work on generalizations of Ruzsa–Szemerédi problem to arbitrary -uniform graphs, Erdős, Frankl, and Rödl provided statement for general graphs very close to the modern graph removal lemma: if graph is a homomorphic image of , then any -free graph on vertices can be made -free by removing edges.[7]

The modern formulation of graph removal lemma was first stated by Füredi in 1994.[8] The proof generalized earlier approaches by Ruzsa and Szemerédi and Erdős, Frankl, and Rödl, also utilizing Szemerédi regularity lemma.

Graph counting lemma

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A key component of the proof of graph removal lemma is the graph counting lemma about counting subgraphs in systems of regular pairs. Graph counting lemma is also very useful on its own. According to Füredi, it is used "in most applications of regularity lemma".[8]

Heuristic argument

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Let be a graph on vertices, whose vertex set is and edge set is . Let be sets of vertices of some graph such that for all pair is -regular (in the sense of regularity lemma). Let also be the density between sets and . Intuitively, regular pair with density should behave like a random Erdős–Rényi-like graph, where every pair of vertices is selected to be an edge independently with probability . This suggests that the number of copies of on vertices such that should be close to the expected number from Erdős–Rényi model: where and are the edge set and the vertex set of .

Precise statement

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The straightforward formalization of above heuristic claim is as follows. Let be a graph on vertices, whose vertex set is and edge set is . Let be arbitrary. Then there exists such that for any as above, satisfying for all , the number of graph homomorphisms from to such that vertex is mapped to is not smaller than

Blow-up Lemma

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One can even find bounded degree subgraphs of blow-ups of in a similar setting. The following claim appears in the literature under name of the blow-up lemma and was first proven by Komlós, Sárközy and Szemerédi.[9] Precise statement here is a slightly simplified version due to Komlós, who referred to it also as the key lemma, as it is used in numerous regularity-based proofs.[10]

Let be an arbitrary graph and . Construct by replacing each vertex of by independent set of size and replacing every edge of by complete bipartite graph on . Let be arbitrary reals, be a positive integer and let be a subgraph of with vertices and with maximum degree . Define . Finally, let be a graph and be disjoint sets of vertices of such that whenever then is a -regular pair with density at least . Then if and , the number of injective graph homomorphisms from to is at least .

In fact, one can only restrict to counting homomorphisms such that any vertex of such that is mapped to a vertex in .

Proof

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We will provide proof of the counting lemma in the case when is a triangle (triangle counting lemma). The proof of the general case, as well as the proof of the blow-up lemma, are very similar and do not require different techniques.

Take . Let be the set of those vertices in which have at least neighbors in and at least neighbors in . Note that if there were more than vertices in with less than neighbors in , then these vertices together with whole would witness -irregularity of the pair . Repeating this argument for shows that we must have . Now take arbitrary and define and as neighbors of in and respectively. By definition and so by regularity of we obtain existence of at least triangles containing . Since was chosen arbitrarily from the set of size at least , we obtain a total of at least which finishes the proof as .

Proof

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Proof of the triangle removal lemma

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To prove the triangle removal lemma, consider an -regular partition of the vertex set of . This exists by the Szemerédi regularity lemma. The idea is to remove all edges between irregular pairs, low-density pairs, and small parts, and prove that if at least one triangle still remains, then many triangles remain. Specifically, remove all edges between parts and if

  • is not -regular
  • the density is less than , or
  • either or has at most vertices.

This procedure removes at most edges. If there exists a triangle with vertices in after these edges are removed, then the triangle counting lemma tells us there are at least triples in which form a triangle. Thus, we may take

Proof of the graph removal lemma

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The proof of the case of general is analogous to the triangle case, and uses graph counting lemma instead of triangle counting lemma.

Induced Graph Removal Lemma

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A natural generalization of the Graph Removal Lemma is to consider induced subgraphs. In property testing it is often useful to consider how far a graph is from being induced H-free.[11] A graph is considered to contain an induced subgraph if there is an injective map such that is an edge of if and only if is an edge of . Notice that non-edges are considered as well. is induced -free if there is no induced subgraph . We define as -far from being induced -free if we cannot add or delete edges to make induced -free.

Formulation

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A version of the Graph Removal for induced subgraphs was proved by Alon, Fischer, Krivelevich, and Szegedy in 2000.[12] It states that for any graph with vertices and , there exists a constant such that if an -vertex graph has fewer than induced subgraphs isomorphic to , then it is possible to eliminate all induced copies of by adding or removing fewer than edges.

The problem can be reformulated as follows: Given a red-blue coloring of the complete graph (Analogous to the graph on the same vertices where non-edges are blue, edges are red), and a constant , then there exists a constant such that for any red-blue colorings of has fewer than subgraphs isomorphic to , then it is possible to eliminate all copies of by changing the colors of fewer than edges. Notice that our previous "cleaning" process, where we remove all edges between irregular pairs, low-density pairs, and small parts, only involves removing edges. Removing edges only corresponds to changing edge colors from red to blue. However, there are situations in the induced case where the optimal edit distance involves changing edge colors from blue to red as well. Thus, the Regularity Lemma is insufficient to prove Induced Graph Removal Lemma. The proof of the Induced Graph Removal Lemma must take advantage of the strong regularity lemma.[12]

Proof

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Strong Regularity Lemma

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The strong regularity lemma[12] is a strengthened version of Szemerédi's Regularity Lemma. For any infinite sequence of constants , there exists an integer such that for any graph , we can obtain two (equitable) partitions and such that the following properties are satisfied:

  • refines , that is every part of is the union of some collection of parts in .
  • is -regular and is -regular.

The function is defined to be the energy function defined in Szemerédi regularity lemma. Essentially, we can find a pair of partitions where is extremely regular compared to , and at the same time are close to each other. (This property is captured in the third condition)

Corollary of the Strong Regularity Lemma
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The following corollary of the strong regularity lemma is used in the proof of the Induced Graph Removal Lemma.[12] For any infinite sequence of constants , there exists such that there exists a partition and subsets for each where the following properties are satisfied:

  • is -regular for each pair
  • for all but pairs

The main idea of the proof of this corollary is to start with two partitions and that satisfy the Strong Regularity Lemma where . Then for each part , we uniformly at random choose some part that is a part in . The expected number of irregular pairs is less than 1. Thus, there exists some collection of such that every pair is -regular!

The important aspect of this corollary is that every pair of are -regular! This allows us to consider edges and non-edges when we perform our cleaning argument.

Proof of Sketch of the Induced Graph Removal Lemma

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With these results, we are able to prove the Induced Graph Removal Lemma. Take any graph with vertices that has less than copies of . The idea is to start with a collection of vertex sets which satisfy the conditions of the Corollary of the Strong Regularity Lemma.[12] We then can perform a "cleaning" process where we remove all edges between pairs of parts with low density, and we can add all edges between pairs of parts with high density. We choose the density requirements such that we added/deleted at most edges.

If the new graph has no copies of , then we are done. Suppose the new graph has a copy of . Suppose the vertex is embedded in . Then if there is an edge connecting in , then does not have low density. (Edges between were not removed in the cleaning process) Similarly, if there is not an edge connecting in , then does not have high density. (Edges between were not added in the cleaning process)

Thus, by a similar counting argument to the proof of the triangle counting lemma, that is the graph counting lemma, we can show that has more than copies of .

Generalizations

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The graph removal lemma was later extended to directed graphs[5] and to hypergraphs.[4]

Quantitative bounds

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Usage of regularity lemma in the proof of graph removal lemma forces to be extremely small, bounded by tower function of height polynomial in that is (here is the tower of twos of height ). Tower function of height is necessary in all regularity proofs as is implied by results of Gowers on lower bounds in regularity lemma.[13] However, in 2011 Fox provided a new proof of graph removal lemma which does not use regularity lemma, improving the bound to (here is number of vertices of removed graph ).[1] His proof, however, uses regularity-related ideas such as energy increment, but with different notion of energy, related to entropy. This proof can be also rephrased using Frieze-Kannan weak regularity lemma as noted by Conlon and Fox.[11] In the special case of bipartite it was shown that is sufficient.

There is a large gap between upper and lower bounds for in the general case. The current best result true for all graphs is due to Alon and states that for each nonbipartite there exists constant such that is necessary for the graph removal lemma to hold while for bipartite the optimal has polynomial dependence on , which matches the lower bound. Construction for nonbipartite case is a consequence of Behrend construction of large Salem-Spencer set. Indeed, as triangle removal lemma implies Roth's theorem, existence of large Salem-Spencer set may be translated to an upper bound for in the triangle removal lemma. This method can be leveraged for arbitrary nonbipartite to give aforementioned bound.

Applications

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Additive combinatorics

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Graph theory

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  • Graph counting/removal lemma can be used to provide quick and transparent proof of Erdős–Stone theorem starting from Turán's theorem and extend the result to Simonovits stability: for any graph and any there exists such that any -free graph on vertices with at least edges can be transformed into complete -partite Turán graph by adding and/or deleting at most edges (here is the chromatic number of ).[15] Although both results had been proven earlier using more elementary techniques (Erdős–Stone theorem was proved in 1966[16] by Erdős and Stone while Simonovits stability was shown in the same year by various authors[16][17][18][19]), the regularity proof provides different viewpoint and elucidates connection with other modern proofs.
  • Graph removal lemma together with Erdős–Stone theorem may be used to show that the number of non-isomorphic -free graphs on vertices is equal to

    where is the Turán density of .[7]

Property testing

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  • The graph removal lemma has applications for property testing, because it implies that for every graph, either the graph is near an -free graph, or random sampling will easily find a copy of in the graph.[5] One result is that for any fixed , there is a constant time algorithm that returns with high probability whether or not a given -vertex graph is -far from being -free.[20] Here, -far from being -free means that at least edges must be removed to eliminate all copies of in .
  • The induced graph removal lemma was formulated by Alon, Fischer, Krivelevich, and Szegedy to characterize testable graph properties.[12]

See also

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References

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  1. ^ a b c Fox, Jacob (2011), "A new proof of the graph removal lemma", Annals of Mathematics, Second Series, 174 (1): 561–579, arXiv:1006.1300, doi:10.4007/annals.2011.174.1.17, MR 2811609, S2CID 8250133
  2. ^ Trevisan, Luca (May 13, 2009), "The Triangle Removal Lemma", in theory
  3. ^ a b Roth, K. F. (1953), "On certain sets of integers", Journal of the London Mathematical Society, 28 (1): 104–109, doi:10.1112/jlms/s1-28.1.104, MR 0051853
  4. ^ a b c Tao, Terence (2006), "A variant of the hypergraph removal lemma", Journal of Combinatorial Theory, Series A, 113 (7): 1257–1280, arXiv:math/0503572, doi:10.1016/j.jcta.2005.11.006, MR 2259060, S2CID 14337591
  5. ^ a b c Alon, Noga; Shapira, Asaf (2004), "Testing subgraphs in directed graphs", Journal of Computer and System Sciences, 69 (3): 353–382, doi:10.1016/j.jcss.2004.04.008, MR 2087940
  6. ^ a b Ruzsa, I. Z.; Szemerédi, E. (1978), "Triple systems with no six points carrying three triangles", Combinatorics (Proc. Fifth Hungarian Colloq., Keszthely, 1976), Vol. II, Colloq. Math. Soc. János Bolyai, vol. 18, Amsterdam and New York: North-Holland, pp. 939–945, MR 0519318
  7. ^ a b Erdős, P.; Frankl, P.; Rödl, V. (1986), "The asymptotic number of graphs not containing a fixed subgraph and a problem for hypergraphs having no exponent", Graphs and Combinatorics, 2 (2): 113–121, doi:10.1007/BF01788085, MR 0932119, S2CID 16839886
  8. ^ a b Füredi, Zoltán (1995). "Extremal Hypergraphs and Combinatorial Geometry". In Chatterji, S. D. (ed.). Proceedings of the International Congress of Mathematicians. Basel: Birkhäuser. pp. 1343–1352. doi:10.1007/978-3-0348-9078-6_129. ISBN 978-3-0348-9078-6.
  9. ^ Komlós, János; Sárközy, Gábor N.; Szemerédi, Endre (1997-03-01). "Blow-up Lemma". Combinatorica. 17 (1): 109–123. doi:10.1007/BF01196135. ISSN 1439-6912. S2CID 6720143.
  10. ^ Komlós, János (1999). "The Blow-up Lemma". Combinatorics, Probability and Computing. 8 (1–2): 161–176. doi:10.1017/S0963548398003502. ISSN 1469-2163. S2CID 6720143.
  11. ^ a b Conlon, David; Fox, Jacob (2013), "Graph removal lemmas", in Blackburn, Simon R.; Gerke, Stefanie; Wildon, Mark (eds.), Surveys in Combinatorics 2013, London Mathematical Society Lecture Note Series, vol. 409, Cambridge, UK: Cambridge University Press, pp. 1–49, arXiv:1211.3487, doi:10.1017/CBO9781139506748.002, MR 3156927, S2CID 2658118
  12. ^ a b c d e f Alon, Noga; Fischer, Eldar; Krivelevich, Michael; Szegedy, Mario (2000), "Efficient testing of large graphs", Combinatorica, 20 (4): 451–476, doi:10.1007/s004930070001, MR 1804820, S2CID 44645628
  13. ^ Gowers, W. T. (1997). "Lower bounds of tower type for Szemerédi's uniformity lemma". Geometric and Functional Analysis. 7 (2): 322–337. doi:10.1007/PL00001621. S2CID 115242956.
  14. ^ Solymosi, J. (2003), "Note on a generalization of Roth's theorem", Discrete and Computational Geometry, Algorithms and Combinatorics, 25: 825–827, doi:10.1007/978-3-642-55566-4_39, ISBN 978-3-642-62442-1, MR 2038505, S2CID 53973423
  15. ^ Alon, N. (2001-10-14). "Testing subgraphs in large graphs". Proceedings 42nd IEEE Symposium on Foundations of Computer Science. FOCS '01. USA: IEEE Computer Society. pp. 434–441. doi:10.1109/SFCS.2001.959918. ISBN 978-0-7695-1390-4. S2CID 12484006.
  16. ^ a b Erdős, P.; Simonovits, M. (1966). "A limit theorem in graph theory". Studia Sci. Math. Hung. 1: 51–57.
  17. ^ Erdős, P. (1966). "Some recent results on extremal problems in graph theory". Theory of Graphs, International Symp. Rome: 118–123.
  18. ^ Erdős, P. (1966). "On some new inequalities concerning extremal properties of graphs". Theory of Graphs, Proc. Coll. Tihany, Hungary: 77–81.
  19. ^ Erdős, P.; Katona, G. (1966). "A method for solving extremal problems in graph theory". Theory of Graphs, Proc. Coll. Tihany: 279–319.
  20. ^ Alon, Noga; Shapira, Asaf (2008), "A characterization of the (natural) graph properties testable with one-sided error", SIAM Journal on Computing, 37 (6): 1703–1727, doi:10.1137/06064888X, MR 2386211