Asymmetric list sizes in bipartite graphs
Abstract
Given a bipartite graph with parts and having maximum degrees at most and , respectively, consider a list assignment such that every vertex in or is given a list of colours of size or , respectively.
We prove some general sufficient conditions in terms of , , , to be guaranteed a proper colouring such that each vertex is coloured using only a colour from its list. These are asymptotically nearly sharp in the very asymmetric cases. We establish one sufficient condition in particular, where , and as . This amounts to partial progress towards a conjecture from 1998 of Krivelevich and the first author.
We also derive some necessary conditions through an intriguing connection between the complete case and the extremal size of approximate Steiner systems. We show that for complete bipartite graphs these conditions are asymptotically nearly sharp in a large part of the parameter space. This has provoked the following.
In the setup above, we conjecture that a proper list colouring is always guaranteed
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•
if and for any provided and are large enough;
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•
if and for some absolute constant ; or
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•
if and for some absolute constant .
These are asymmetric generalisations of the above-mentioned conjecture of Krivelevich and the first author, and if true are close to best possible. Our general sufficient conditions provide partial progress towards these conjectures.
1 Introduction
List colouring of graphs, whereby arbitrary restrictions on the possible colours used per vertex are imposed, was introduced independently by Erdős, Rubin and Taylor [10] and by Vizing [16]. Let be a simple, undirected graph. For a positive integer , a mapping is called a -list-assignment of ; a colouring is called an -colouring if for any . We say is -choosable if for any -list-assignment of there is a proper -colouring of . The choosability (or choice number or list chromatic number) of is the least such that is -choosable.
Note that if is -choosable then it is properly -colourable. On the other hand, Erdős, Rubin and Taylor [10] exhibited bipartite graphs with arbitrarily large choosability. Let denote a complete bipartite graph with part sizes and .
Theorem 1 ([10]).
For some function with as ,
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is not -choosable if , and
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is -choosable if .
More succinctly Theorem 1 says that as .
There are two contrasting ways to try to strengthen this last statement. First does the lower bound hold more generally; that is, does a bipartite graph with minimum degree have choosability as ? Indeed this was shown by the first author [1] using a probabilistic argument; later Saxton and Thomason [15] proved the asymptotically optimal lower bound of . Second does the upper bound hold more generally; that is, does a bipartite graph with maximum degree always have choosability as ? Krivelevich and the first author conjectured this in 1998.
Conjecture 2 ([2]).
There is some absolute constant such that any bipartite graph of maximum degree at most is -choosable if .
Johansson’s result for triangle-free graphs [12] gives the conclusion with , which is far from the conjectured bound. Conjecture 2 is an elegant problem in a well-studied area, but apart from constant factors111In a recent advance, Molloy [14] considerably improved on the constant in Johansson’s, cf. also [5]. there has been no progress until now.
Despite the apparent difficulty of Conjecture 2, we propose an asymmetric refinement. Given a bipartite graph with parts , and positive integers , , a mapping is called a -list-assignment of . We say is -choosable if there is guaranteed a proper -colouring of for any such .
Problem 3.
Given and , what are optimal choices of and for which any bipartite graph with parts and having maximum degrees at most and , respectively, is -choosable?
We have the upper bounds on , , since the problem is trivial if or .
Note that Problem 3, since it has a higher-dimensional parameter space, has wider scope than Conjecture 2 and is necessarily more difficult. However, the extra generality in Problem 3 has permitted a glimpse at an unexpected and basic connection between list colouring and combinatorial design theory (Theorem 6). This has prompted us to explore specific areas of the parameter space in Problem 3, motivating concrete versions of Problem 3 in the spirit of Conjecture 2 (Conjecture 7). One hope of ours is that further study of these problems may yield insights into Conjecture 2. But in fact, already in the present work, we have obtained asymmetric progress towards Conjecture 2 (Corollary 10).
Our first main result provides general progress towards Problem 3.
Theorem 4.
Let the positive integers , , , , with and , satisfy one of the following conditions.
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.
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Then any bipartite graph with parts and having maximum degrees at most and , respectively, is -choosable.
Theorem 4 under condition follows from a simple application of the Lovász Local Lemma, as we show in Section 2. This sufficient condition for Problem 3 is related to independent transversals in hypergraphs, cf. [8, 11], and to single-conflict chromatic number [7]. In the most asymmetric settings (when and are fixed constants), condition is sharp up to a constant factor. We prove Theorem 4 under condition in Section 3 with the Lovász Local Lemma and a link to the coupon collector problem. In an attempt to clear up the ‘parameter soup’ arising from Problem 3 and the above sufficient conditions, we will discuss specific natural context for these after presenting some further results.
We complement our sufficient conditions for -choosability with necessary ones, given mainly by the complete bipartite graphs. An easy boundary case is provided as follows, for warmup. This generalises a classic non--choosable construction.
Proposition 5.
For any , the complete bipartite graph with and is not -choosable.
Proof.
Let the vertices of be assigned disjoint lists of length , and let the vertices of be assigned all possible -tuples drawn from these disjoint lists. ∎
This is best possible in the sense that the conclusion does not hold if or ; however, in Section 8 we exhibit a non-complete non--choosable construction that is a slightly more efficient (in the sense that it has and ). On the other hand, Proposition 5 shows that condition in Theorem 4 cannot be relaxed much in general. This follows for instance by considering the most asymmetric case, namely and , with fixed and . Thus for fixed and Problem 3 is settled up to a constant factor.
Our second main result is a related but much broader necessary condition for Problem 3, also via the complete case. Let us write for the hypergraph Turán number defined as the minimum number of edges in a -uniform hypergraph on vertices with no independent set of size This parameter is equivalent to the extremal size of approximate Steiner systems; in particular, is equal to the cardinality of a smallest - design, cf. [9, Ch. 13] and [13]. (Recall that a - design is a collection of -element subsets, called blocks, of some -element set such that each -element subset of is contained in at least one block.) We can draw a link between this classical extremal parameter and Problem 3. We show the following result in Section 4.
Theorem 6.
Let be integers such that and . The complete bipartite graph with and is not -choosable.
This link allows us, using known results for , to read off decent necessary conditions for specific parameterisations of Problem 3. As one example, a lower bound on of the form follows from Theorem 6 with the choice , , and for some . As another example, a slightly weaker form of the necessary condition of Proposition 5 follows with the choice , , and . We detail both of these easy examples in Section 4.
Note though that these last two examples show that Theorem 6 provides suboptimal necessary conditions for -choosability even in the complete case. Furthermore, in Section 8 we give a construction to show that the complete case cannot, in general, be precisely extremal for Problem 3. Nevertheless, we surmise that Theorem 6 provides some good rough borders for Problem 3. More specifically, in Section 5 we give some basic sufficient conditions for -choosability specific to the complete case and show in Section 6, through some routine asymptotic calculus, how these roughly match with Theorem 6 over a broad family of parameterisations for Problem 3. Then, just as Conjecture 2 was informed by Theorem 1, the asymptotic behaviour of -choosability in the complete case leads us to conjecture the following concrete versions of Problem 3.
Conjecture 7.
Let the positive integers , , , satisfy one of the following.
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Given , we have for some , and
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For some absolute constant ,
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, and, for some absolute constant ,
Then any bipartite graph with parts and having maximum degrees at most and , respectively, is -choosable.
We note that in Section 5 we also show how this conjecture holds for the complete bipartite graphs (Theorem 15). Conjecture 7 constitutes three natural asymmetric analogues of Conjecture 2. The first is weaker than Conjecture 2; the latter two are stronger. We discuss these separately in turn.
Behind condition , Conjecture 7 concerns the question, for what positive functions does and suffice for -choosability, no matter how far apart and are? Essentially we posit that some with as will work, and this would be best possible due to the complete case (Theorem 16). In particular, is impossible, in contrast to Conjecture 2. But in fact, Theorem 4 implies that Conjecture 7 under condition reduces to its most symmetric form.
Corollary 8.
Given and integers , satisfying and , any bipartite graph with parts and having maximum degrees at most and , respectively, is -choosable.
As a consequence, Conjecture 7 under condition follows from the same assertion under the further assumption that .
Proof.
It suffices to check condition of Theorem 4 with and . Indeed, as , and , we have .
Assume condition of Conjecture 7, and moreover assume the truth of the conjecture only for its most symmetric form . We may assume that , and so, without loss of generality, we may also assume by the first part that . For any bipartite graph with parts and having maximum degrees at most and , we have from the assumption that is -choosable for, say, , provided , and thus , is large enough as a function of . This is smaller than for sufficiently large as a function of , as required. ∎
Thus Conjecture 7 under condition would follow from a weaker form of Conjecture 2. By an earlier work due to Davies, de Joannis de Verclos, Pirot and the third author [5], we so far know that works.
Under condition , Conjecture 7 concerns a ‘crossed’ version of the previous question, so for what positive functions does and suffice for -choosability? In this case, we conjecture that will work, which coincides with Conjecture 2 in the symmetric case . The complete bipartite graphs demonstrate the hypothetical sharpness of this assertion up to a constant factor for nearly the entire range of possibilities for and (Theorem 16). Some modest partial progress towards Conjecture 7 under condition follows from Theorem 4.
Corollary 9.
Given , there exists such that for large enough, any bipartite graph with parts and having maximum degrees at most and , respectively, is - and -choosable.
Proof.
This follows for large enough from condition of Theorem 4 with either and or with and . ∎
Under condition , Conjecture 7 concerns the setting most closely related to Conjecture 2. It suggests how Problem 3 might behave for the symmetric case . The complete bipartite graphs demonstrate its hypothetical sharpness up to a constant factor for the entire range of possibilities for , and thus symmetrically (Theorem 16). Theorem 4 provides the following partial progress towards Conjecture 7 under condition . In fact, this constitutes significant (asymmetric) progress towards Conjecture 2, and is a first concrete step in this longstanding problem.
Corollary 10.
Given , any bipartite graph with parts and having maximum degree at most is - and -choosable for all large enough.
Proof.
This follows for large enough from condition in Theorem 4 with and either and or and . ∎
In Section 7 we are able to nearly completely characterise -choosability for complete bipartite graphs if . In Section 9, we give a connection between minimum degree and -choosability along the lines of [1].
Probabilistic preliminaries
We will use the following standard probabilistic tools, cf. [3].
A Chernoff Bound.
For and , .
The Lovász Local Lemma.
Consider a set of (bad) events such that for each
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, and
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is mutually independent of a set of all but at most of the other events.
If , then with positive probability none of the events in occur.
2 A sufficient condition via transversals
In this section, we prove Theorem 4 under condition . We prefer to state and prove a slightly stronger form. To do so, we need some notational setup. Let be a hypergraph. The degree of a vertex in is the number of edges containing it. Given some partition of , a transversal of is a subset of that intersects each part in exactly one vertex. A transversal of is called independent if it contains no edge, cf. [8].
Lemma 11.
Fix . Let be a -uniform vertex-partitioned hypergraph, each part being of size , such that every part has degree sum at most . If , then has an independent transversal.
Proof of Theorem 4 under condition .
Let satisfy condition . Let be a -list-assignment of . We would like to show that there is a proper -colouring of . We do so by defining a suitable hypergraph .
Let be a vertex of if and .
Let be an edge of whenever there is some such that and .
Note that is a -uniform vertex-partitioned hypergraph, where the parts are naturally induced by each list in and so are each of size . We have defined and its partition so that any independent transversal corresponds to a special partial -colouring of . In particular, it is an -colouring of the vertices in for which there is guaranteed to be a colour in available for every , and so it can be extended to a proper -colouring of all .
Every part in has degree sum at most so the result follows from Lemma 11 with and . ∎
Proof of Lemma 11.
Write and suppose . Consider the random transversal formed by choosing one vertex from each part independently and uniformly. For each edge , let denote the event that . Note that . Moreover is mutually independent of a set of all but at most of the other events . The transversal is independent if none of the events occur. Since by assumption , there is a positive probability that is independent by the Lovász Local Lemma. ∎
3 A sufficient condition via coupon collection
Proof of Theorem 4 under condition .
Let satisfy condition . Let be a -list-assignment of . We would like to show that there is a proper -colouring of . To this end, colour each vertex , randomly and independently, by a colour chosen uniformly from its list . Let be the event that has a neighbour coloured with colour . Let be the event that happens for all . The proof hinges on the following claim, which is related to the coupon collector problem, cf. e.g. [6].
Claim.
The events , for fixed as ranges over all colours in , are negatively correlated. In particular, .
Proof.
We have to prove, for every , that If some colour is not in the list of any neighbour of , both sides equal zero and so the inequality holds. So assume this is not the case. We prove the statement by induction on When the statement is trivially true. Let be a subset for which the statement is true and let We now prove the statement for We have as the probability to use a colour in is larger if in all neighbouring lists the colour is removed. This is equivalent to
This last expression is at most by the induction hypothesis, as desired. ∎
For the colour in , let the number of occurrences of in the neighbouring lists of be . Note that Using for every and the claim, we have
Noting that and that the function is concave and increasing, Jensen’s Inequality applied with the claim implies that
Each event is mutually independent of all other events apart from those corresponding to vertices that have a common neighbour with in . As there are at most such vertices besides , the Lovász Local Lemma guarantees with positive probability that none of the events occur, i.e. there is a proper -colouring, as desired. ∎
4 The complete case and Steiner systems
In this section, we investigate general necessary conditions for -choosability via the complete bipartite graphs. Inspired in part by Theorem 1 and related work of Bonamy and the third author [4], this leads naturally to the study of an extremal set theoretic parameter. For positive integers , we say that a family of -element subsets of has Property A (A is for asymmetric) if there is a -element subset of that intersects every set in . We then define to be the cardinality of a smallest family of -element subsets of that does not have Property A. Note that this definition of coincides with the definition given before the statement of Theorem 6.
Proof of Theorem 6.
We define a -list-assignment as follows. Let be a family of -element subsets of without Property A. Let be a family of -element subsets of without Property A. Assign the sets of as lists to the vertices in and the sets of as lists to the vertices in . Suppose that is an -colouring. Then intersects every set in and so by assumption and similarly has cardinality . So , implying that cannot be a proper colouring.∎
Since , we have the following corollary of Theorem 6.
Corollary 12.
Let be integers such that and . The complete bipartite graph with and is not -choosable.
Although they are trivial, the following observations already show that Theorem 6 and Corollary 12 cannot be improved much in general.
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- •
We present several more instances where Theorem 6 and Corollary 12 are nearly sharp in Section 6. For this, we will have use for the following estimates for the parameter . A version of this result can be found in [9, Ch. 13], but for completeness we present a standard derivation in the appendix.
Theorem 13.
Let be integers such that and . Then
5 Sufficient conditions in the complete case
In this section, we give general sufficient conditions for -choosability of complete bipartite graphs Our strategy for establishing -choosability in this setting is to take a random bipartition of the set of all colours and try to use one part for colouring and the other part for colouring . This yields the following lemma.
Lemma 14.
Let the reals and positive integers , , , satisfy either
or | (1) | |||
. | (2) |
Then the complete bipartite graph with and is -choosable.
Proof.
Let be -list-assignment of . Let , i.e. is the union of all colour lists. Define a random partition of into parts and as follows. For each colour in , randomly and independently assign it to with probability and otherwise assign it to .
First assume (1). For a given vertex , the probability that is . For a given vertex , the probability that is . So the expected number of vertices which cannot be coloured with the corresponding list or is equal to So the probabilistic method then guarantees some choice of the parts and such that every vertex in can be coloured with a colour from and every vertex in with a colour from
Otherwise assume (2). For a given vertex , the random variable has a binomial distribution of parameters and . So by a Chernoff bound the probability that is smaller than is smaller than . Thus, with probability greater than , we have for all .
For a given vertex , the probability that is . So the expected number of vertices for which this holds is . Thus by Markov’s inequality, the probability that there are at least such vertices is smaller than .
Due to (2), the probabilistic method guarantees a fixed choice of partition of into parts and such that for every and the number of vertices such that is smaller than . Colour any vertex having with an arbitrary colour from . Colour any other vertex with a colour from . Finally colour any vertex with some colour in unused by any vertex of — this is possible as there were fewer than colours of used to colour vertices in and the lists in all have at least colours from .
In either case, we are guaranteed a proper -colouring of , as promised. ∎
6 Asymptotic sharpness in the complete case
We next use the results of Sections 4 and 5 to roughly settle the behaviour of complete bipartite graphs with respect to Problem 3 in several regimes. The conditions in Theorems 15 and 16 naturally correspond to the conditions in Conjecture 7.
Theorem 15.
Let the positive integers , , , satisfy one of the following.
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For any , for some , and .
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For any , and .
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We have that and either or .
Then the complete bipartite graph with and is -choosable.
Proof.
The conditions are also sharp in some sense.
Theorem 16.
For each of the following four conditions, there are infinitely many choices of the positive integers , , , satisfying it such that the complete bipartite graph with and is not -choosable.
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Given a monotone real function satisfying and as ,
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For any integer , either
or
where .
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For any fixed integer and sufficiently large, , and for some constant .
Proof.
Consider condition . Take large enough so that . Let and and note that , i.e. . The result then follows from Proposition 5.
Then Also
Here we used the estimation for
For the latter case, choose
Then since
Also
In either case, the result follows from Corollary 12 and Theorem 13.
Consider condition . First we make a computation verifying when is sufficiently large. By Theorem 13, for sufficiently large, we have that
We choose , where . By the above computation, this choice satisfies for large enough. Let be such that , and note that as .
Let be a complete bipartite graph with
Note that as
and thus for all large enough.
We define a -list-assignment as follows. Let be a family of -element subsets of without Property A and assign the sets of as lists to the vertices in . So there is no -element subset of that intersects every list in . For , arbitrarily partition into segments of nearly equal size, and assign as lists to the vertices in all possible -element subsets chosen from within a single segment.
Note that for any -colouring, intersects at least one colour from each -element subset of a segment, and so avoids at most colours of . However, as noted above, must have more than colours of , and this precludes a proper -colouring. ∎
7 Sharpness in a boundary complete case
In this section, we precisely solve Problem 3 for complete bipartite graphs when When , we know that any bipartite must be -choosable. The case is handled by Proposition 5 and the fact that its conclusion fails if or . The remainder of this section is devoted to the case .
For this it will be useful to have the following simple lemma at our disposal. Given a family of disjoint subsets of , a transversal of is a subset of that intersects every set in exactly once. An almost-transversal of is a subset of that intersects all but one set in exactly once.
Lemma 17.
Suppose consists of disjoint sets such that . Then every almost-transversal of is subset of at most transversals of . As a corollary, if is a family of almost-transversals of such that every transversal of contains some element of , then must contain at least elements.
Proof.
Any almost-transversal of can be extended to a transversal of by adding exactly one element from for some , and so there are choices for this. The corollary follows directly by a union bound argument. ∎
Proposition 18.
Let and with and being integers such that Then the complete bipartite graph with and is -choosable if and only if
Note that for , this bound on is approximately
Proof.
We write Let be a -list-assignment of . If some colour is in the list of at least three different vertices of , or two colours are both in the lists of two disjoint pairs of vertices of , then we can certainly -colour . (The -colouring uses the common colour(s) for the respective vertices and an arbitrary -colouring for the remaining vertices of , followed by a greedy -colouring of the vertices in .) Let and analogously define for each and let . Consider the family of sets induced by the index pairs of the non-empty . This must form an intersecting family, for otherwise we have an -colouring of similarly as above. We consider two cases depending on this family being trivial or not.
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(non-trivial family) Without loss of generality, we may assume that only and are non-empty among all . If there are colours which do not occur as the list of a vertex of , such that the vertices of can coloured with these colours, then is -colourable. So if is not -colourable, every such collection of colours has to occur as the list of a vertex in . There are combinations of colours which appear only once among the lists . By Lemma 17, every -list for some can forbid at most of these and so at least such vertices are needed to forbid all these colourings. There are also other possible colourings of which do use exactly different colours. So these possible colourings must also be forbidden by some list if were not -colourable.
This implies that is -colourable if
By the AM–GM Inequality, the minimum of the last expression subject to a fixed sum occurs when , and so the minimum is attained when leading to a bound of
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(trivial family) Without loss of generality, we assume only some of the are non-empty and There are
possible ways to choose one colour from every , in such a way that does contain at least one of these chosen colours. So if would not contain these combinations among the lists , one would be able to colour with these colours.
By Lemma 17, one needs also
lists , to make it impossible to colour by first colouring the vertices solely with colours not appearing among the Hence the number of disjoint lists to make a list-colouring of impossible needs to be at least
This expression is minimised when and every for are equal to a number of the form as by an integral version of the AM–GM Inequality the subtracted product attains its maximum when all factors (which sum to a fixed amount) differ by at most . When and , we have that this is approximately , which is smaller than the value obtained in the previous case. Equality can be attained, i.e. is not -choosable when (or larger) as we can take the lists as being exactly those mentioned for minimising the expression. ∎
The same analysis also gives the result for When , the bound for is When , the same analysis as in Proposition 18 gives that the bound for occurs in the first case (non-trivial family), resulting in the following detailed proposition.
Proposition 19.
Let . The complete bipartite graph with and is -choosable if and only if
8 Sharper than complete bipartite
In this section, we prove that complete bipartite graphs are not exactly extremal for Problem 3. The complete bipartite graph is -choosable, but there are bipartite graphs with and smaller than which are not -choosable.
Proposition 20.
For any , there is a bipartite graph with parts and having maximum degrees and , respectively, that is not -choosable. Moreover, .
Proof.
We recursively construct bipartite graphs with parts and having maximum degree and . We simultaneously define a -list-assignment of such that there is some vertex which can only be given one of colours out of its list in any proper -colouring.
Let be the complete bipartite graph , and write . For the vertices of , we assign disjoint lists of length , specifically, for . For the vertices of , we assign as lists all possible -tuples drawn from . Since cannot be given the colour in any proper -colouring, the conditions are satisfied for .
For the recursion, assume and take the disjoint union of copies of , relabelling their -list-assignments so that their colour palettes are mutually disjoint. So the parts of the bipartition so far include the disjoint unions of the respective parts. Let be the copies of , and for each write for the set of colours to which the colour of is restricted by assumption. By relabelling, we may assume . We now add new vertices to that are adjacent to every . For these new vertices, we assign as lists all possible -tuples drawn from and for . This completes the definition of and . By induction, may only be given a colour from in any proper -colouring, and moreover is of maximum degree in . So satisfies the required conditions. This completes the recursive step.
The graph with parts and is not -choosable, since by construction we may not give any colour to in any proper -colouring. Furthermore, the maximum degrees in and are respectively and , as required. ∎
9 Degrees and -choosability
In this section, we give a condition on the minimum degree for concluding that a bipartite graph is not -choosable. This is a reduction to the behaviour for complete bipartite graphs.
Theorem 21.
Suppose the complete bipartite graph with and is not -choosable. Then any bipartite graph with parts and such that and has minimum degree is not -choosable.
Proof.
Let and be the collections of lists of sizes and , respectively, that can be assigned to and , respectively, to certify non--choosability of . Let Randomly choose , each vertex included independently with probability . Then and so by Markov’s inequality,
Define a list-assignment of , by assigning to every vertex of uniformly and independently a list of . Call a vertex in good if every member of occurs as a list on a neighbour (in ) of For any , let us say that is not good due to if does not as occur as a list on a neighbour of . Note that
implying that
So by Markov’s inequality,
By the probabilistic method, there is some and a list-assignment of such that and there are at least good vertices. Fix this choice and let be the set of good vertices.
Fix an arbitrary -colouring of . There are at most possibilities for the colouring . Define a list-assignment of , by assigning to every vertex of uniformly and independently a list of . Since every is good, all lists of occur in the neighbourhood of and at least one choice of a list in would imply that cannot be properly coloured with a colour of that list. Hence the probability that every can be properly -coloured in agreement with is at most
The probability that some proper colouring of can be completed given any -colouring is smaller than
Thus by the probabilistic method there exists a list-assignment of such that no proper -colouring can be found in agreement with any -colouring. ∎
10 Conclusion
We have begun the investigation of an asymmetric form of list colouring for bipartite graphs. In one direction, we have found good general sufficient conditions through connections to independent transversals and to the coupon collector problem. This has incidentally yielded a non-trivial advance towards a difficult conjecture of Krivelevich and the first author. In another direction, we have established broad necessary conditions through an unexpected link between the bipartite choosability of complete bipartite graphs and a classic extremal set theoretic or design theoretic parameter. This link has fed naturally into the formulation of three attractive conjectures along these lines. Because of the rich connections this problem has to other important areas of combinatorial mathematics, we are hopeful that further study will lead to novel insights. We remark that Conjecture 7 comprises three asymptotic parameterisations of Problem 3 that we found most natural and interesting, all derived essentially from Theorem 6. There could be several other nice choices. Because the terrain is new, there are many interesting angles we have not yet had the opportunity to fully explore.
One possibility, based on the connection to combinatorial design theory, comes to mind. We have that for every prime power due to the finite projective planes. With a small modification of the substitution of this fact into Corollary 12, we obtain that the complete bipartite graph is not -choosable. On the other hand, Lemma 14 shows this is not that far from optimal, and in particular (2) shows that is -choosable. It would be interesting to narrow the gap. For the specific case , a quick computer search checks that is not -choosable, but finding the largest such that is -choosable seems difficult.
Acknowledgement.
The authors wish to thank the anonymous referees for their careful reading and helpful comments.
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Appendix A Extremal analysis of approximate Steiner systems
Proof of Theorem 13.
First we prove the lower bound. Fix a family of -element subsets of with cardinality less than the leftmost expression. Choose a -element subset of uniformly at random. For any fixed , we have
By a union bound and the choice of cardinality of ,
So with positive probability there is a set certifying that has Property A.
Next we prove the upper bound. Fix a -element subset of . Let be a -element subset of chosen uniformly at random. Then
Let be a family of -element subsets of chosen uniformly at random. Based on the above calculation,
There are choices for , so we have
This last expression is less than if
which establishes the upper bound. ∎