Asymmetric cut and choose games
Abstract.
We investigate a variety of cut and choose games, their relationship with (generic) large cardinals, and show that they can be used to characterize a number of properties of ideals and of partial orders: certain notions of distributivity, strategic closure, and precipitousness.
Key words and phrases:
Cut and choose games, generically measurable cardinals, distributivity, Banach-Mazur games, precipitous ideals2020 Mathematics Subject Classification:
(Primary) 03E05; (Secondary) 03E55, 03E351. Introduction
Many large cardinal principles and combinatorial properties of ideals and posets have been characterised via infinite games, for instance -Erdös cardinals by Hans-Dieter Donder and Jean-Pierre Levinski [4], completely Ramsey cardinals by Ian Sharpe and the fourth-listed author [22], remarkable cardinals by Ralf Schindler [21], -Ramsey cardinals by the first- and second-listed authors [10], completely ineffable cardinals by the first-listed author and Philipp Lücke [9], the precipitousness of ideals [13, Lemma 22.21] and the strategic closure of posets. Fundamental games related to large cardinals are cut and choose games that were first introduced and studied by Fred Galvin, Jan Mycielski and Stanisław Ulam in the 1960s (see [25, Section 2]). In this paper, we survey and extend results on these games and some of their variants, their connections with generic large cardinals and properties of ideals, in particular with precipitousness and distributivity.
We will restrict our attention to asymmetric cut and choose games. The word asymmetric refers to the fact that in the two player games studied here, the two players, which we call Cut and Choose, perform different tasks: One of them presents certain partitions while the other picks elements of those partitions. Similar games in which however both players cut and choose have been studied in the literature (see [20, Page 185], [17, Page 249], [25, Page 733]). We start by introducing what seems to be perhaps the most standard notion of asymmetric cut and choose game.
Definition 1.1.
Let be a regular cardinal, and let be a limit ordinal. Let denote the following game of length on . Initially starting with all of , two players, Cut and Choose, take turns to make moves as follows. In each move, Cut divides a given subset of into two disjoint pieces, and then Choose answers by picking one of them. In the next round, this set is then divided by Cut into two disjoint pieces, one of which is picked by Choose etc. At limit stages, intersections are taken. In the end, Choose wins in case the final intersection of their choices contains at least two distinct elements, and Cut wins otherwise.111See the beginning of Section 2 for a discussion concerning the requirement that the final intersection of choices contains at least two elements.
Let us provide the following basic observation, which shows that the consideration of winning strategies for Cut in games of the form is not particularly interesting. It is probably essentially due to Stephen Hechler, however has never been published, and is vaguely mentioned in a footnote to [7, Theorem 1].
Observation 1.2.
Let be a limit ordinal. Then, Cut has a winning strategy in the game if and only if .
Proof.
First, assume for a contradiction that Cut has a winning strategy , however . The strategy can be identified with a full binary tree of height , where the root of the tree is labelled with , and if a node of the tree is labelled with , then its immediate successor nodes (in the natural ordering of the tree, which is by end-extension) are labelled with the sets from the partition that is the response of to the sequence of cuts and choices leading up to the choice of , and limit nodes are labelled with the intersection of the labels of their predecessors. Since is a winning strategy, the intersection of labels along any branch of 222For the purposes of this paper, a branch through a tree is a sequence that is increasing and downward closed in with respect to its ordering, and of length the height of . has cardinality at most one. But note that the union over all these intersections has to be , which clearly contradicts our assumption, for the number of branches is .
Now assume that . We may thus identify with a subset of the higher Cantor space .333This is the space with underlying set , and with the bounded topology, that is with basic clopen sets of the form for for some . The winning strategy for Cut is to increasingly partition the space (and thus also ) in -many steps using basic open sets of the form for functions , with increasingly large . In the end, the intersection of all of the sets that Choose picked in a run of the game can clearly only contain at most one element, yielding Cut to win, as desired. ∎
By the below remark, for a fixed , what is interesting is the least such that Choose has a winning strategy in the game .
Remark 1.3.
If there is some cardinal such that Choose has a winning strategy in the game , then they have a winning strategy in the game whenever as well: they simply pick their choices according to their intersection with .
The games are closely tied to large cardinals. If is measurable, then it is easy to see that Choose has a winning strategy for , and in fact for whenever (see Observation 3.2). And actually, measurable cardinals are necessary in some way: If Choose has a winning strategy in , then there exists a measurable cardinal in an inner model (see Theorem 2.5). Furthermore, variants of this game can be used to characterize weakly compact cardinals (see Observation 3.4), various notions of distributivity (Section 6), strategic closure of posets and precipitousness of ideals (Section 7).
Various other interesting classes of games can be obtained from the above cut and choose games by the following adjustments, several of which have been studied in the set theoretic literature before.
-
(1)
Winning conditions:
-
(a)
Final requirements. Instead of the requirement that the final intersection cannot have size at most , this should hold in each round while the final intersection is only required to be nonempty. This is the weakest possible cut and choose game in the sense that it is easiest for Choose to win. We study this variant in Section 2.
-
(b)
Notions of smallness. The family of subsets of of size at most is replaced by an arbitrary monotone family, i.e. a family of subsets of that is closed under subsets. A canonical choice is the bounded ideal on , or other -closed ideals on that extend . We study such generalizations in Section 3.
-
(a)
-
(2)
Types of moves:
- (a)
-
(b)
Poset games. The moves of Cut are maximal antichains in a poset, of which Choose picks one element. In order for Choose to win, their choices need to have lower bounds in the poset. This is used in Section 6 to characterize notions of distributivity.
Remark 1.4.
Note that poset games can have arbitrary length, and after Definition 6.1, we will also briefly consider games of length as in (2a). A natural extension of the games in (1a) to games of length , which we do not study in this paper, is obtained in filter games by weakening the winning condition for Choose to the requirement that the set of their choices generates a -closed filter. Introducing delays in this game, i.e., allowing Cut to make moves in each single round before it is Choose’s turn to make -many choices, leads to characterisations of the -Ramsey cardinals defined in [10] (see also [19, 6]).
We shall provide an overview of results on the existence of winning strategies for various cut and choose games, and their connections with generic large cardinals, and combinatorial properties of ideals and posets. This includes a number of previously unpublished proofs, extensions of known results to more general settings and new results.
We will show the following results concerning the above types of games. In Section 2, we show that Choose having a winning strategy in the games in (1a) has the consistency strength of a measurable cardinal. In Section 3, we show that certain instances of generic measurability of suffice in order for Choose to win games defined relative to ideals on as in (1b). In Section 4, we show that starting from a measurable cardinal, one can force to obtain a model in which the least cardinal such that Choose wins is a non-weakly compact inaccessible cardinal. In Section 6, we investigate the close connections between the existence of winning strategies for Cut in certain cut and choose games and various notions of distributivity. In Section 7, we investigate connections with Banach-Mazur games on partial orders, showing in particular that these Banach-Mazur games, which will be defined in Section 7, are equivalent to certain cut and choose games. In Section 8, we make some final remarks and provide some open questions.
2. The weakest cut and choose game
Regarding Definition 1.1, it may seem somewhat odd to require two elements in the final intersection of choices in order for Choose to win games of the form . But note that if we required only one element in this intersection, then Choose easily wins any of these games by fixing some ordinal in advance, and then simply picking the set that contains as an element in each of their moves, for this will then clearly be contained as an element in the final intersection of their choices as well. By requiring two elements in the final intersection of their choices, this strategy is not applicable as soon as Cut plays a partition of the form .
In this section, we will be considering canonical variants of the games . Among the cut and choose games of length that we consider in this paper, these are the easiest for Choose to win. They have (or rather, an equivalent form of them has) already been considered in unpublished work of Galvin (see [20, Section 3, A game of Galvin]).
Definition 2.1.
Let be a regular uncountable cardinal, and let be a limit ordinal. Let denote the following game of length (at most) on the cardinal . As in the game , starting with all of , players Cut and Choose take turns, with Cut dividing a given subset of in two, and Choose picking one of the pieces and returning it to Cut for their next move. Cut wins and the game immediately ends if Choose ever picks a singleton. At limit stages, intersections are taken. If the game lasts for -many stages, Choose wins in case the final intersection of their choices is nonempty. Otherwise, Cut wins.
Note that unlike in the games , fixing one element at the beginning of the game, and picking the set which contains as an element in each of their moves is not a winning strategy in the games , since Cut can play a partition of the form at some point, so that Choose would pick , and would thus immediately lose such a run.
The games behave somewhat differently with respect to the existence of winning strategies for Cut. At least the forward direction in the following observation is attributed to unpublished work of Galvin, and independently to Hechler in [20]. We do not know of any published proof of this result. For arbitrary ordinals , we let is a cardinal.
Observation 2.2.
If is a regular uncountable cardinal and is a limit ordinal, then Cut has a winning strategy in the game if and only if .
Proof.
Assume first that Cut has a winning strategy in the game . The strategy can be identified with a binary tree of height , where the root of the tree is labelled with , and if a node of the tree is labelled with a set which is not a singleton, then its immediate successor nodes are labelled with the sets from the partition that is the response of to the sequence of cuts and choices leading up to the choice of , and limit nodes are labelled with the intersection of the labels of their predecessors. being a winning strategy means that the intersection of labels along any branch of of length is empty. Thus, for each ordinal there has to be a node labelled with , for this is the only reason why would not appear in an intersection of choices along some branch of . However there are only at most -many nodes in this tree, hence .
Now assume that . Let be such that for , we have if and only if there is such that for all ,
-
•
and
-
•
.
By our assumption on , we may identify with a subset of the space . The winning strategy for Cut is to increasingly partition the space in -many steps using sets of the form for functions with increasingly large . That is, during a run of , Cut and Choose work towards constructing a function , the only possible element of the intersection of all choices of Choose, fixing one digit in each round of the game. Now in any even round, Choose cannot possibly pick the digit , for this would correspond to picking a set that is only a singleton, by the definition of the set . But this means that either Cut already wins at some stage less than , or that is not an element of . But this again means that Cut wins, for it implies that the intersection of all choices of Choose is in fact empty. ∎
Choose having a winning strategy in for some cardinal has the consistency strength of a measurable cardinal. A slightly weaker version of this result for the game with essentially the same proof, that is due to Silver and Solovay, appears in [17, Page 249]. However, the proof that is presented there is somewhat incomplete (in particular, the argument for what would correspond to Claim 2.7 below is missing), and we do not know of any other published proof of this result. For this reason, even though it is just a minor adaption of a classic result, we would like to provide a complete argument for the below.
Definition 2.3.
We say that is generically measurable as witnessed by the notion of forcing if in every -generic extension, there is a -normal -ultrafilter on that induces a well-founded (generic) ultrapower of . Equivalently, in every -generic extension , there is an elementary embedding with critical point for some transitive .
We will make use of the following standard fact. We include its short proof for the benefit of the reader.
Fact 2.4.
Assume that is a nonprincipal -ultrafilter on in a -generic extension of the universe, that yields a wellfounded ultrapower of , and that is the generic embedding induced by . Let be the -completeness of , that is the least such that is not --complete. Then, .
Proof.
Pick a partition of with each . Define by letting if . Using that is nonprincipal, and letting denote the function with domain and constant value for any ordinal , we have that for every . It follows that , and by the --completeness of , we obtain that , as desired. ∎
Theorem 2.5.
If are regular cardinals, and Choose has a winning strategy in the game , then there exists a generically measurable cardinal below or equal to , as witnessed by -closed forcing.
Proof.
Let us generically Lévy collapse to become of size , by the -closed notion of forcing . In the generic extension, we perform a run of the game with Choose following their ground model winning strategy , and with the moves of Cut following an enumeration of in order-type . More precisely, let be an enumeration of in our generic extension. At any stage , assume that denotes the sequence of choices of Choose so far, and let . Let Cut play the partition at stage , and let denote the response of Choose. Note that since the Lévy collapse is -closed, any proper initial segment of this run is in the ground model , and therefore it is possible for Choose to apply their strategy in each step. Having finished the above run of , let be the collection of all ’s such that . Equivalently, for any , if and only if for all sufficiently large .
Claim 2.6.
is a --complete, nonprincipal ultrafilter on .
Proof.
It is easy to check that is an ultrafilter on .
Let us check that is --complete. If , and is a sequence of elements of , assume for a contradiction that . Using the regularity of and our above characterization of , we thus find an ordinal so that the intersection of choices of Choose up to stage would be , contradicting that Choose follows their winning strategy .
In order to show non-principality of , note that for any , some is equal to , hence , and since is a winning strategy, and therefore . ∎
Claim 2.7.
The generic ultrapower of by is well-founded.
Proof.
Assume for a contradiction that this is not the case. We may thus assume that , for otherwise is -complete in a -closed forcing extension of the universe and therefore yields a well-founded ultrapower of . Let be the tree of tuples of the form with the following properties:
-
(1)
is a partial run of the game of length that is consistent with , where denotes the partition played by Cut, and denotes the choice of Choose at stage for every ,
-
(2)
is a strictly increasing sequence of natural numbers for some , and if then ,
-
(3)
is such that for each , and
-
(4)
for all whenever .
The ordering relation on is componentwise extension of sequences, that is for and both in , we have if extends , extends , and extends as a sequence.
Subclaim 2.8.
has a branch in .
Proof.
Using our assumption of ill-foundedness, pick a decreasing -sequence of ordinals in the generic ultrapower of by , which are represented by functions in . For , let . Consider the run of the game in , in which Choose plays according to , and in which Cut plays based on the enumeration of . We define sequences and inductively. Let and let . Given and , let be least above such that – note that such must exist for . Let . It is now straightforward to check that the sequence
is a branch through in . ∎
By the absoluteness of well-foundedness, thus has a branch in . Such a branch yields a run of the game in which Choose follows their winning strategy, hence there is . This branch also yields a strictly increasing sequence of natural numbers, and a sequence of functions so that for each , , and whenever . But then, our choice of yields a decreasing -sequence of ordinals, which is a contradiction, as desired. ∎
By Fact 2.4, it follows that , and hence by the weak homogeneity of the Lévy collapse, it follows that is generically measurable, as witnessed by -closed forcing.444Note that since can never be generically measurable, this implies that in particular that if , will still be --complete. ∎
In particular thus, using standard results from inner model theory, it follows from Theorem 2.5 that if Choose has a winning strategy in the game , then there is an inner model with a measurable cardinal, for the existence of such an inner model follows from having a generically measurable cardinal. In more detail, suppose there is an elementary embedding in some generic extension of . Furthermore, we may assume that there is no inner model with a measurable cardinal of order .555The argument could be done similarly for other core models. So the canonical least iterable structure with a sharp for a measure of order does not exist (see [26, Section 6.5]). Then also does not exist in [26, Lemma 6.5.6]. Therefore, the core model for measures of order can be constructed in and (see [26, Section 7.3]) and by generic absoluteness of [26, Theorem 7.4.11]. In , the restriction is an elementary embedding from to a transitive class. Every such embedding comes from a simple iteration [26, Theorem 7.4.8], i.e., there are no truncations of iterates of (see [26, Section 4.2]). Hence has a measurable cardinal.
Note that the analogue of Remark 1.3 clearly applies to games of the form as well. As another corollary of Theorem 2.5, we can show that starting from a measurable cardinal, it can consistently be the case that a measurable cardinal is least so that Choose wins . The same holds for .
Observation 2.9.
Starting from a measurable cardinal , there is a model of set theory in which is measurable, so that Choose has a winning strategy in the game whenever , however Choose doesn’t have a winning strategy in the game for any .
Proof.
Let be a normal measurable ultrafilter on and work in . Choose has a winning strategy in the game whenever . Assume for a contradiction that there were some for which Choose had a winning strategy in the game . By Theorem 2.5, there is a generically measurable cardinal . But then, by standard inner model theory results (see the discussion before this observation), would be measurable in some inner model of our universe . Let be a normal measurable ultrafilter on in that model, and consider the model . By classical results of Kunen (see [16, Theorem 20.12]), can be obtained by iterating the measure over the model . But then, contradicts the fact that the ultrafilter could not be an element of its induced ultrapower of (see [16, Proposition 5.7(e)]). ∎
Next, we show that we can obtain a weak version of Observation 1.2 for games of the form . Together with Observation 2.2, this shows in particular that is not determined when .
Theorem 2.10.
If is regular and , then Choose does not have a winning strategy in the game .
Proof.
Fix of size that does not contain a continuous and injective image of .666If , then any of size works. If , then a set of size which does not contain a continuous and injective image of can easily be constructed by a recursion of length . Let be the variant of where we play on the underlying set rather than . Noting that these two games are equivalent, assume for a contradiction that Choose had a winning strategy for the game . We consider the following quasistrategy for Cut:777Unlike a strategy, which provides unique response moves, a quasistrategy provides a (nonempty) set of possible response moves (for one particular player) at each round of a game. It will be relevant for Claim 2.11 below that Cut is still free to pick the in odd rounds following the quasistrategy .
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•
In each even round , given a set , Cut splits it into the sets and .
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•
In each odd round , Cut splits off some singleton , i.e., presents a partition of the form .
Note that if Choose wins a run of the game in which Cut plays according to their quasistrategy , then by the definition of at even stages, if is in the intersection of choices made by Choose in such a run, has been fixed for every , that is the intersection of these choices will only have a single element.
Claim 2.11.
Suppose that is a partial play of of length less than according to both and . Then, there are partial plays , of successor length, both extending and according to both and , such that the final choices of Choose in and are disjoint.
Proof.
If not, take an arbitrary run of extending and according to both and , such that only is in the intersection of choices along this run. Now consider a different run that starts with as well, however in which Cut splits off at the next odd stage. If Choose made all the same 0/1-choices at even stages in this run as before, then the intersection of their choices would now be empty, contradicting that is a winning strategy for Choose. This means that at some stage in those two runs, the respective choices of Choose according to have to be disjoint, and we may pick and to be suitable initial segments of these runs. ∎
Using the above claim, since is a winning strategy for Choose and is regular, we can construct a full binary tree of height of partial plays such that partial plays on the same level of have the same length, and such that the final choices made by Choose in any two such partial plays of successor length which are on the same level of will be disjoint. Let be an order-preserving isomorphism from , and for , let . Since is a winning strategy for Choose, the intersection of choices from any run of is nonempty, and thus, using the way the quasistrategy was defined at even stages, this yields a continuous and injective map , letting whenever , is a branch through , and is the unique element of the intersection of choices of Choose in the run . This shows that contains a continuous and injective image of , contradicting our choice of . ∎
3. Ideal cut and choose games
We want to introduce a larger class of generalized cut and choose games on regular and uncountable cardinals , in which the winning condition is dictated by a monotone family on , that is a family of subsets of that is closed under subsets, which in many cases will be a -complete ideal . Before we introduce this class, let us observe that the games that we considered so far proceeded as progressions of cuts and choices, so that the chosen pieces would then be further cut into pieces. Equivalently however, we could require Cut to repeatedly cut the starting set of these games into pieces and Choose to pick one of those pieces, in each of their moves, simply because we only evaluate intersections of choices in order to determine who wins a run of a game, so whatever happens outside of the intersection of choices made in a run of any of our games up to same stage is irrelevant for this evaluation (and every partition of canonically induces a partition of any of its subsets , plus every partition of some can be extended to a partition of , for example by adding all of to one of its parts). Our generalized cut and choose games will be based on the idea of Cut repeatedly partitioning the starting set of our cut and choose games. Fix a regular uncountable cardinal and a family of subsets of that is monotone, i.e. closed under subsets, throughout this section. Let denote the collection of all subsets of which are not elements of (-positive).
Definition 3.1.
Let , and let be a limit ordinal. Let denote the following game of length . Starting with the set , two players, Cut and Choose, take turns to make moves as follows. In each move, Cut divides the set into two pieces, and then Choose answers by picking one of them. Choose wins in case the final intersection of their choices is -positive, and Cut wins otherwise.
denotes the variant of the above game which Choose wins just in case the intersection of their choices is -positive up to all stages , and nonempty at the final stage , and Cut wins otherwise.
Let us also introduce the variant for of the above game: It proceeds in the same way for -many moves, however Choose already wins in case for all , the intersection of their first -many choices is -positive, and Cut wins otherwise.
Note that for the games defined above, we could let them end immediately (with a win for Cut) in case at any stage , the intersection of choices of Choose up to that stage is in . Note also that if are monotone families on , , and Choose has a winning strategy in the game for some limit ordinal , then they clearly also have a winning strategy in the game . Moreover, if denotes the monotone family , then corresponds to and corresponds to . We have thus in fact generalized the basic cut and choose games from our earlier sections.
Let us start with some minor extensions of observations from Section 1. We refer to a non-principal -complete ultrafilter on a measurable cardinal as a measurable ultrafilter on .
Observation 3.2.
If is measurable, and is contained in the complement of some measurable ultrafilter on , then Choose wins whenever .
Proof.
They simply win by picking their choices according to . ∎
Observation 3.3.
If is -strongly compact, then Choose wins whenever is a -complete ideal on and .
Proof.
The -strong compactness of allows us to extend to a -complete prime ideal, the complement of which thus is a measurable ultrafilter containing as an element. The result then follows from Observation 3.2. ∎
We next present an observation on when Cut wins generalized cut and choose games. This is in close correspondence to our earlier observations for games of length , but it also shows that Cut not winning certain games of length has large cardinal strength.888Item (4) below is related to the notion of a WC ideal that was introduced by Chris Johnson [14]. Johnson shows [14, Corollary 2] that is a WC ideal if and only if is weakly compact. Using the concepts of distributivity that we will introduce in Section 6, it is not hard to see that is a WC ideal if and only if Cut does not win . In fact, the following stronger statement also follows from results of Baumgartner and Johnson [14, Paragraph after Corollary 4]: If is weakly compact, then the weakly compact ideal on is a WC ideal, and therefore Cut does not win .
Observation 3.4.
Let be a limit ordinal, and let be a monotone family such that cannot be written as a -union of elements of . Then, the following hold.
-
(1)
Cut wins if and only if .
-
(2)
Cut wins if and only if .
-
(3)
If , then Cut does not win .
-
(4)
If , then Cut wins if and only if is not weakly compact.
Proof.
The proof of (1) is analogous to the proof of Observation 1.2, and the proof of (2) is analogous to the proof of Observation 2.2, making use of the fact that cannot be written as a -union of elements of in the forward directions. For (3), assume for a contradiction that , however Cut has a winning strategy for the game . can be identified with a binary tree of height at most , where the root of the tree is labelled with , and if a node of the tree is labelled with , then its immediate successor nodes are labelled with the sets from the partition that is the response of to the sequence of cuts and choices leading up to the choice of , and limit nodes are labelled with the intersection of the labels of their predecessors. If a node is labelled with a set in , then it does not have any successors, and it means that Choose has lost at such a point. being a winning strategy means that has no branch of length . Thus, the union of all the labels of the leaves of has to be , which clearly contradicts our assumption on , for the number of leaves of is at most .
Regarding (4), assume first that is weakly compact, however Cut has a winning strategy in the game . Let be a sufficiently large regular cardinal, and let be an elementary substructure of of size that is closed under -sequences and with . Using that is weakly compact, let be a uniform -complete -ultrafilter on . Let us consider a run of the game in which Cut follows their winning strategy , and Choose responds according to . This is possible for proper initial segments of such a run will be elements of by the -closure of , and hence can be used as input for in , yielding the individual moves of Cut to be in as well. But since is uniform and -complete, all choices of Choose will be in and therefore -positive. This means that Choose wins against , which is our desired contradiction.
In the other direction, assume that Cut does not have a winning strategy in the game . We verify that under the assumptions of our observation, has the filter property (as in [10, Definition 2.3]) and is thus weakly compact. Let be a collection of subsets of . We need to find a -complete filter on , that is, -sized subsets of need to have -sized intersections. At any stage , let Cut play the partition of . Since Cut does not have a winning strategy in the game , there is a sequence of choices of Choose in such a run such that for every , . But now we may clearly define our desired filter by letting if . ∎
Let us next observe that instead of measurability, it is sufficient for to be generically measurable as witnessed by sufficiently closed forcing in order for Choose to win cut and choose games at . This is a property that can be satisfied by small cardinals, and this thus shows that Choose can win cut and choose games at small cardinals. It is well-known how to produce small cardinals that are generically measurable: For example, if is measurable, as witnessed by some ultrapower embedding with , and for some nonzero , denotes the Lévy collapse to make become in the generic extension, then in any -generic extension with -generic filter , is generically measurable, as witnessed by the notion of forcing that is the Lévy collapse in the sense of of all cardinals in the interval to become of size , which is a -closed notion of forcing in . The proof for in [1, Theorem 10.2] works for the ’s as well.
Together with Theorem 2.5, the next observation will also show that assumptions of the existence of winning strategies for Choose in cut and choose games of increasing length form a hierarchy which is interleaved with assumptions of generic measurability, as witnessed by forcing notions with increasing closure properties.
Observation 3.5.
Assume that is regular, and that is generically measurable, as witnessed by some -closed notion of forcing .999The proof below can easily be adapted to the case when is only -strategically closed. Let be a -name for a uniform -normal -ultrafilter on , and let be the hopeless ideal with respect to , that is . Then, is a normal ideal on and for any , Choose wins .
Proof.
It is straightforward to check that is normal, using that is forced to be uniform and -normal. We will describe a winning strategy for Choose in the game . At each stage , Choose not only decides for a set to actually respond with, but they also pick a condition forcing that , such that these conditions form a decreasing sequence of conditions.
At stage , assume that Cut presents the partition of . Since some condition forces that , Choose may pick to either be or , and pick a condition forcing that . At successor stages , we proceed essentially in the same way. Assume that Cut presents the partition of . Since , Choose may pick to either be or , and pick a condition forcing that .
At limit stages , Cut presents a partition of . Since the forcing notion is -closed, we may let be a lower bound of . Then, forces that , and Choose may pick to either be or , and pick a condition forcing that . ∎
The following result, which is also a consequence of our above results, is attributed to Richard Laver in [7, Comment (4) after the proof of Theorem 4]: It is consistent for Choose to have a winning strategy in the game for some uniform normal ideal on , and in particular, it is consistent for Choose to have a winning strategy in the game . By Observation 1.2, will clearly be the least cardinal so that Choose has a winning strategy in the game , for Cut has a winning strategy in the game . We can now show that for either of the games and , any small successor cardinal of a regular and uncountable cardinal can be least so that Choose wins. Note that the assumptions of the following observation are met in models of the form , when is a measurable ultrafilter on a measurable cardinal , as we argue in the proof of Observation 2.9.
Observation 3.6.
If is measurable with no generically measurable cardinals below, and given some regular and uncountable , then in the Lévy collapse extension by the notion of forcing , making become , Choose has a winning strategy in the game whenever , however Choose does not have a winning strategy in the game for any .
Proof.
Apply the Lévy collapse forcing to make become , which is -closed. Work in a generic extension for this forcing. As we argued above, is generically measurable as witnessed by -closed forcing. Thus by Observation 3.5, Choose has a winning strategy in the game whenever . Assume for a contradiction that there were some with for which Choose had a winning strategy in the game . By Theorem 2.5, we obtain a generically measurable cardinal . But then clearly, is also generically measurable in our ground model, contradicting our assumption. ∎
4. Cut and choose games at small inaccessibles
In Observation 2.9, we observed that a measurable cardinal can be the least cardinal at which Choose wins cut and choose games, and in Observation 3.6, we argued that consistently, Choose can first win cut and choose games at successors of regular cardinals. In this section, we want to show that it is consistent for Choose to first win cut and choose games at small inaccessible cardinals, that is inaccessible cardinals which are not measurable, and as we will see, not even weakly compact. The key result towards this will be the following, which is an adaption of Kunen’s technique [18] of killing the weak compactness of a measurable cardinal by adding a homogeneous Suslin tree , and then resurrecting measurability by forcing with . Our presentation is based on the presentation of this result that is provided by Gitman and Welch in [8, Section 6]. The difference in our result below will be that we need our homogeneous Suslin tree to have additional closure properties, and that this will require us to do a little extra work at some points in the argument.
Theorem 4.1.
Given a measurable cardinal , and a regular cardinal , one can force to obtain a model in which is still inaccessible (in fact, Mahlo) but not weakly compact anymore, however generically measurable, as witnessed by -closed forcing. Hence in particular, by Observation 3.5, Choose wins the game for some normal ideal on , and thus also and .101010This also shows that under the assumption of the consistency of a measurable cardinal, an analogue of Observation 3.4 (4) does not hold for games of length less than .
Proof.
We first force with a reverse Easton iteration, adding a Cohen subset to every inaccessible cardinal below . Let us consider the generic extension thus obtained as our ground model in the following. By well-known standard arguments (similar to those in the proof of Silver’s theorem about violating the at a measurable cardinal (see [13, Theorem 21.4])), adding a Cohen subset of to that model will resurrect the measurability of in the extension. We will force to add a Suslin tree to that is closed under ascending -sequences, and show that is generically measurable in that extension, as witnessed by forcing with that Suslin tree (with its reversed ordering), which now is a -closed notion of forcing.
Definition 4.2.
A collection of automorphisms of a tree acts transitively on if for every and on the same level of , there is with .
Definition 4.3.
A normal -tree is a tree of height with the following properties.
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Each is a function for some , and is ordered by end-extension.
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is closed under initial segments.
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If and is in , then and are both in .
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If and is in , then for every with , there is some in that extends (this property is abbreviated by saying that is pruned).
Lemma 4.4.
If is inaccessible, and is a regular cardinal, then there is a -strategically closed notion of forcing of size that adds a -Suslin tree within which every increasing sequence of length at most has an upper bound.
Proof.
Fix and , and let be the following notion of forcing consisting of conditions of the form , for which the following hold:
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is a normal -tree that is closed under increasing unions of length at most , for some ,
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acts transitively on ,111111The requirements on are needed to ensure that is -closed in Observation 4.7. and
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is an injective enumeration of for some ordinal .
Conditions are ordered naturally, that is when end-extends ,121212That is, and restricted to the height of equals . and for all , extends .
Claim 4.5 (Strategic Closure).
is -strategically closed.
Proof.
We imagine two players, Player I and Player II taking turns for -many steps to play increasingly strong conditions in . Player I has to start by playing the weakest condition of , and is allowed to play at each limit stage of the game. The moves of Player I will be conditions denoted as , and the moves of Player II will be conditions denoted as . In order to show that is -strategically closed, Player I has to ensure that at the end of the game, the decreasing sequence of conditions that has been produced by the above run has a lower bound in . We will see in the argument below that it is only at limit steps when Player I has to be careful about their choice of play.
Let be the weakest condition of . Given for some , let be the response of Player II, and let Player I respond by any condition in .
At limit stages , we let be the union of the ’s for , and we let be the coordinate-wise union of the ’s for . We define the next move of Player I as follows. In order to obtain , we add a top level to – we do so by simply adding unions for all branches through . The enumeration is then canonically induced by and by the ’s.
This process can be continued for -many steps, showing that is -strategically closed, as desired. ∎
Note that it is easy to extend conditions in to have arbitrary height below . A crucial property of is the following.
Claim 4.6 (Sealing).
Suppose , is the canonical -name for the generic tree added as the union of the first components of conditions in the generic filter, and is a maximal antichain of . Then, there is in forcing that is (level-wise) bounded in . This means that is forced to be a -Suslin tree.
Proof.
Suppose , with . Choose some of size less than containing , , and as elements, such that is closed under -sequences, and such that is equal to some strong limit cardinal of cofinality greater than . Let be a function in which enumerates each unboundedly often. Working entirely inside of , we carry out a construction in -many steps (so this construction only has -many steps from the point of view of ). By possibly strengthening , we may without loss of generality assume that there is some such that . Let be any branch through in . Let be the top node of . The node begins the branch we will try to construct.
Given , with , and given , for some , let strengthen , such that , and with the property that for every , there is that is compatible with and such that forces that . It is straightforward to obtain such a condition in -many steps, making use of Claim 4.5. Now, say . If , let be a node on the top level of extending . Otherwise, let . Let be on the top level of above both and , and let . This will have the effect that whenever , will force to be above an element of in this latter case.
At limit stages , we let be the union of the ’s for , and we let be the coordinate-wise union of the ’s for . Let . Now, in order to obtain , we add a top level to . If has cofinality larger than , we pick this top level of to be . Note that since the identity map is an element of , it follows in particular that . If has cofinality at most , we pick this top level to consist of all unions of branches through (note that by the closure properties of , these are the same in and in , and we thus obtain an actual condition in ). Finally, is canonically induced by and the ’s in each case. It is easy to check that is a condition in in each case, however note that having act transitively on for each is needed to ensure that is pruned.
In , after -many steps, we build by unioning up the sequence of conditions , adding a top level to , and extending as in the limit ordinal case above. Note that since has cofinality greater than , we will be in the case when we only include top level nodes in above certain branches of .
We finally need to show that forces to be bounded in . We will do so by showing that it forces to be a maximal antichain of (in fact, of ). Let be a branch of , induced by some node on the top level of . This node will have to be of the form for for some ordinal . But then, using that , and that , it follows that for unboundedly many ordinals . Pick one such for which , noting that . By our remark made at the end of the successor ordinal step of our above construction, it now follows that forces to meet (within ; in fact, within ). ∎
By the above claim, it is immediate that is forced to be a -Suslin tree. By the definition of , it is also immediate that every increasing sequence of length at most in is forced to have an upper bound in (note that by its -strategic closure, does not add any new -sequences of elements of ). ∎
Observation 4.7.
If we let be the canonical name for the -Suslin tree added by forcing with , then is equivalent to -Cohen forcing, where the ordering of the notion of forcing is the reverse tree ordering.
Proof.
It suffices to argue that has a dense subset of conditions that is -closed. Our dense set will be conditions of the form where is a node on the top level of . Given a decreasing sequence of conditions in this dense set of length , we may find a lower bound as in the limit stage case in the proof of Claim 4.6, with the sequence of ’s inducing a branch through the union of the ’s. ∎
It thus follows that after forcing with , is measurable, and thus forces that is generically measurable as witnessed by the notion of forcing , which is -closed, as desired. It is also clear that is Mahlo after forcing with , for otherwise it could not be measurable in the further -generic extension. ∎
Note that in particular, if in the starting model there are no generically measurable cardinals below , then in our forcing extension above, arguing as in the proof of Observation 2.9, is the least cardinal such that Choose has a winning strategy in the game . The same holds for .
5. Cutting into a larger number of pieces
Let us start by considering variants of cut and choose games in which we allow Cut to cut into a larger number of pieces in each of their moves. We again fix a regular and uncountable cardinal and a monotone family on throughout.
Definition 5.1.
For any cardinal , and any limit ordinal , we introduce the following variants , and of the games , and , allowing also for in : In each move, Cut is allowed to cut into up to -many rather than just two pieces, and as before, Choose will pick one of them. For any cardinal , we also introduce variants , and : Cut is now allowed to cut into any number of less than -many pieces in each of their moves. The winning conditions for each of these variants are the same as for the corresponding games defined above.
If is a -complete ideal, then in the games and above, and their variants where is replaced by , we could equivalently require Cut to cut the starting set into -positive sets in each of their moves: Choose will clearly lose if they ever decide for a set in , but it is also pointless for Cut to cut off pieces in , using that either our games have length less than , or in the case of games of length , the winning conditions only depend on properties of proper initial segments of its runs, and that is -complete.
The following generalizes Observation 3.4, showing that it is still not very interesting to consider winning strategies for Cut in these games.
Observation 5.2.
Let be a limit ordinal, let be a regular cardinal, let be a monotone family such that can not be written as a -union of elements of , and let . Let is a cardinal. Then, the following hold.
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(1)
Cut wins if and only if .
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(2)
Cut wins if and only if .
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(3)
If , then Cut does not win .
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(4)
If is (strongly) inaccessible, then Cut does not win .
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(5)
If is weakly compact, then Cut does not win .
Proof.
Observation 3.5 easily generalizes to the following, using that in the notation of that observation, is forced to be --complete.
Observation 5.3.
Assume that is regular, and that is generically measurable, as witnessed by some -closed notion of forcing . Let be a -name for a -normal -ultrafilter on , and let be the hopeless ideal with respect to . Then, for any , Choose has a winning strategy in the game .
We also want to define cut and choose games on a cardinal where Cut can cut into -many pieces. A little bit of care has to be taken in doing so however. One thing to note is that we do have to require Cut to actually cut into -positive pieces, for otherwise, given that contains all singletons, they could cut any set into singletons in any of their moves, making it impossible for Choose to win. Another observation is that if is -complete, then any disjoint partition of an -positive set into less than -many -positive sets is maximal: there cannot be an -positive such that for any , . This is clearly not true anymore for partitions of size . However, as the following observation shows, in many cases, maximality is needed in order for such cut and choose games to be of any interest.
Observation 5.4.
If is -complete and has the property that any -positive set can be partitioned into -many disjoint -positive sets,131313Note that this is the case for example if is the bounded or the nonstationary ideal. and the game were defined as the games in Definition 5.1, however letting while additionally requiring Cut to always provide partitions into -positive pieces, and , then Cut has a winning strategy in the game .
Proof.
Write as a disjoint union of -positive sets for . At any stage , let Cut play a disjoint partition of into -positive sets such that each contains exactly one element of , and such that whenever .141414Since for every , the partition is not maximal. Choose has to pick some . Let . Note that the above defines a strategy for Cut which ensures that for any , contains at most one element, and hence the intersection of choices of Choose is countable, showing this strategy to be a winning strategy for Cut, as desired.151515With a little more effort, it is in fact possible to provide a strategy for Cut which ensures that the intersection of choices of Choose is empty. This makes use of the fact that for any ordinal , Cut can play to ensure that in order to have a chance of winning, Choose has to decide for a set that does not contain as an element within a finite number of moves. ∎
We will need the following.
Definition 5.5.
Let be a monotone family on a regular and uncountable cardinal .
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If , then an -partition of is a maximal collection so that whenever are distinct.
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An -partition is disjoint if any two of its distinct elements are.
In the light of the above, we now define cut and choose games in which Cut can cut into -many, or even more pieces in each of their moves as follows.
Definition 5.6.
Let be a regular uncountable cardinal, let be a monotone family on , let be a limit ordinal, let , and let be a cardinal, or .
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denotes the variant of the game where in each move, Cut may play an -partition of size at most of , or of arbitrary size if , and Choose has to pick one of its elements. Choose wins in case the intersection of all of their choices is -positive, and Cut wins otherwise.
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In a similar fashion (using -partitions rather than disjoint partitions), we also define games and as variants of and , allowing also for for the latter.
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If is a cardinal, we also define games , and in the obvious way.
By the below observation, these games actually generalize the games that we introduced in Definition 5.1 above.
Observation 5.7.
Proof.
We only treat the equivalence between games of the form and when is a cardinal and is a limit ordinal, for the other equivalences are analogous. Making use of the comments after Definition 5.1, if Cut wins , then Cut wins , because every disjoint partition of an -positive set into less than -many -positive sets is an -partition of . Analogously, if Choose wins , then Choose wins .
Given an -partition of some set , with , we call a full disjointification of in case and for every nonzero .161616Note that full disjointifications of an -partition are not unique – they are only determined modulo an enumeration of . In the following, let us fix some canonical choice of full disjointification for all -partitions , and let us refer to those as the full disjointification of . Then is a partition of and moreover, for every nonzero .
Suppose that is a winning strategy for Cut in . To define a winning strategy for Cut in , we use an auxiliary run of in which Cut plays according to . Given a move of Cut in round in , we let perform two consecutive moves in . The first one is the full disjointification of . The second one splits into and . Choose first picks an element of and then they have to pick . By the definition of full disjointifications, there is some with . We let Choose play such an in , and Cut again responds in the next round by using . Since is a winning strategy for Cut, it follows that , and therefore that is a winning strategy for Cut, as desired.
We now argue that a winning strategy for Choose in yields a winning strategy for Choose in the game , making use of an auxiliary run of in which Choose plays according to . Given a move of Cut in the game , we let Cut perform two consecutive moves in the game : The first one is the full disjointification of , and the second one splits into and . The strategy will pick some element , and then decides for . We let the next move of Choose according to be some for which . Since is a winning strategy for Choose, it follows that , and therefore that is a winning strategy for Choose, as desired. ∎
Up to some point, increasing the possible size of -partitions that Cut may play actually does not make a difference (in terms of the existence of winning strategies for either player) for our generalized cut and choose games of the form or . This will folllow as a special case of Theorem 6.2 below, noting that if is a cardinal and is a -complete ideal on a cardinal , then the partial order is a -complete Boolean algebra.
6. Poset games and distributivity
A very natural further generalization is to consider analogues of the above games played on posets. On Boolean algebras, such games of length were considered by Boban Veličković [25], and such games of arbitrary length were considered by Natasha Dobrinen [2], who also mentions a generalization to partial orders. We assume that each poset has domain and a maximal element .
Definition 6.1.
If is a poset with , is a limit ordinal, and is a cardinal, or , denotes the game of length in which players Cut and Choose take turns, where in each move, Cut plays a maximal antichain of below of size at most , or of arbitrary size if , and Choose responds by picking one of its elements. Choose wins in case the sequence of all of their choices has a lower bound in , and Cut wins otherwise. We also introduce obvious variants with and/or in place of and respectively – if the final parameter is of the form , we only ask for lower bounds in for all proper inital segments of the sequence of their choices in order for Choose to win.
Let be a regular uncountable cardinal, and let be a -complete ideal on . It is easily observed that for , any limit ordinal , and any cardinal , or , the games and are essentially the same game (and are in particular equivalent), as are and . But note that Definition 6.1 can also be taken to provide a natural definition of , and its variants with and/or , which also works for : We could take them to be and its variants, and we observe that this corresponds to requiring the existence of an -positive set that is -almost contained in every choice of Choose in order for Choose to win, rather than an -positive intersection of those choices, in Definition 5.6.
We first want to show a result that we already promised (for games with respect to ideals) in Section 5, namely that up to some point, increasing the possible size of partitions provided by Cut still yields equivalent games. Given a cardinal , we say that a partial order is -complete in case it has suprema and infima for all of its subsets of size less than , under the assumption that those subsets have a lower bound for the latter.
Theorem 6.2.
Let and be cardinals, let be a cardinal, let be a separative partial order with domain , and let .
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If is -complete, then and are equivalent, as are and .171717Note that if for some , we have , then this means that the games and are equivalent. This is the case in particular if is a successor cardinal.
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If is a limit cardinal, whenever ,181818By (1), we do not need this assumption in case is -complete. and is -complete, then and are equivalent, as are the games and .
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(3)
In particular, if is a strong limit cardinal, and is -complete, then the games and are equivalent.
Proof.
The idea of the arguments for the above is that we may simulate a single move of Cut, in the games where they are allowed to play larger antichains, by less than -many moves in the corresponding games where they are only allowed to play antichains of size at most in each of their moves. Let us go through some of the details of one of those equivalences in somewhat more detail. For example, let us assume that in (1), Cut has a winning strategy in the game . Assume that in one of their moves, they play a maximal antichain of below of the form . Let Cut make -many moves in the game , playing maximal antichains below for , with such that for all . Let be such that Choose picks in their move, for each . Now clearly for each , hence . Note that for , and are incompatible, and hence the collection of these infima for different forms a maximal antichain of below . Thus, by the separativity of , it follows that in fact . Let Choose respond to by picking . Cut will win this run of the game for they are using their winning strategy, but then they will also win the above run of , for the responses of Choose in this run will be cofinal in the sequence of their corresponding responses in the run of , and thus the set of responses of Choose in either game will not have a lower bound. We have thus produced a winning strategy for Cut in the game in this way, as desired.
Let us recall and introduce two notions of distributivity for posets.
Definition 6.3 (Distributivity).
Let be a poset with underlying set , let be a limit ordinal and let be a regular cardinal, or .
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For , is uniformly -distributive with respect to if whenever is a sequence of maximal antichains of below , each of size at most , or of arbitrary size in case , then there is a sequence of conditions so that for each , and the sequence has a lower bound in . We call such a sequence a branch through .
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The poset is uniformly -distributive if it is uniformly -distributive with respect to for every .
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For , is -distributive with respect to if whenever is a sequence of maximal antichains of below , each of size at most , or of arbitrary size in case , then there is a sequence so that for each , and has a lower bound in . We call such a sequence a positive branch through .
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The poset is -distributive if it is -distributive with respect to for every .191919Note that there are two further common versions of -distributivity, either in terms of being able to swap the order of certain infinitary conjunctions of disjunctions, or in terms of not adding new functions from to when forcing, see for example [12, Page 12]. The former is easily seen to lead to an equivalent notion in the case of Boolean algebras, and the same is true for the latter in the case of complete Boolean algebras.
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Let be an ideal on a regular and uncountable cardinal . We say that is -distributive or uniformly -distributive if the poset is.
For complete Boolean algebras , it is easy to see that -distributivity implies -distributivity, since adding no new functions from to by forcing with is clearly equivalent to adding no new functions from to .202020This was observed for in [24, Lemma 1.60]. The following is a version of this observation with weaker completeness assumptions that seems to require a different kind of argument. This lemma and its proof are closely related to Theorem 6.2.
Lemma 6.4.
If is a -distributive poset, where , and are cardinals, then the following statements hold:
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(1)
If is -complete, then is -distributive.
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(2)
If is -complete, then is -distributive.
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(3)
If is a -complete Boolean algebra and for all , then is -distributive.
In analogy to the above, uniform -distributivity implies higher levels of uniform distributivity as well.
Proof.
(1): Suppose that is a sequence of maximal antichains in , each of size . For each , we define as in the proof of Theorem 6.2. Since is -distributive, there exists a positive branch through with a lower bound , where denotes the standard pairing function applied to and . As in the proof of Theorem 6.2, induces a positive branch through .
(2): Suppose that is a sequence of maximal antichains in , each of size . Fix a cofinal sequence in . For each , we partition into subsets such that has size for each . We can extend each to a maximal antichain by adding a single condition, namely , since is -complete. As in the proof of (1), we then replace each by a sequence such that has size . Let enumerate all the in order-type . Since is -distributive, there exists a positive branch through . This is easily seen to induce a positive branch through , as required.
For Boolean algebras, the case in (1) and (2) below was proved by Thomas Jech in [12, Theorem 2] (and (3) is nontrivial only for uncountable ). A more general result for arbitrary cardinals was then shown by Dobrinen in [2, Theorem 1.4]. In the theorem below, (1) and (2)–(2b) are essentially due to Dobrinen. We will present a somewhat different and simpler argument for these, and furthermore present additional results which partially answer a question of Dobrinen [2, paragraph after Theorem 1.4] by showing in (2d) that a -complete Boolean algebra is -distributive if and only if Cut does not have a winning strategy in the game .
Theorem 6.5.
Let be a poset, a limit ordinal, a regular cardinal or , and . Then, the following hold.
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(1)
If Cut does not have a winning strategy in the game , then is -distributive with respect to .
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(2)
If is -distributive with respect to and either
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(a)
,
or is a cardinal and either
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(b)
,
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(c)
and is -complete,
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(d)
is -complete, or
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(e)
for all and is a -complete Boolean algebra,
then Cut does not have a winning strategy in the game .
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(a)
- (3)
Proof.
(1): Any sequence of maximal antichains of below , each of size at most (or of arbitrary size in case ), witnessing to not be -distributive with respect to can be identified with a strategy for Cut in the game , and the nonexistence of a positive branch through such a sequence corresponds to the fact that Choose cannot win against this strategy, which means that it is in fact a winning strategy, as desired.
(2): Assume that is -distributive with respect to . Assume for a contradiction that Cut did have a winning strategy in the game .
If in (2b), then we can construct a -sequence of maximal antichains of below , each of size at most , consisting of all moves of Cut that could possibly come up in any run of in which they follow their winning strategy , which is a total of -many maximal antichains of below , and use -distributivity with respect to to obtain a positive branch through these, which yields a way for Choose to win while Cut is following their supposed winning strategy, which is a contradiction.
If in (2c) (this is also the case if ), we inductively construct a -sequence of maximal antichains of below , each of size at most (or of arbitrary size in case ), as follows: Let be the first move of Cut according to . Given , and a possible choice of Choose in their move in a run of the game in which Cut plays according to their winning strategy , let be the set of all such , and let be the response of to being chosen at stage . Let . For limit ordinals , define similarly, letting be the set of nonzero greatest lower bounds of the possible first -many choices of Choose in runs of the game in which Cut plays according to (if , we let be a maximal antichain of of elements below sequences of possible first -many choices of Choose, allowing us to drop the completeness assumption on ). Note that by our assumption that , these antichains will always have size at most . Use -distributivity with respect to to obtain a positive branch through the sequence of ’s, which yields a way for Choose to win while Cut is following their supposed winning strategy, which is a contradiction.
Definition 6.6.
Let be an ideal on a regular and uncountable cardinal . Let be a limit ordinal and let be a regular cardinal, or . is -distributive if whenever and is a sequence of -partitions of , each of size at most , or of arbitrary size in case , then there is a sequence so that for each , and for every , , and in the above. We call such a sequence a (nonempty) branch through .
The proof of the following theorem essentially proceeds like the proof of Theorem 6.5 (1) and (2a)-(2c), and we will thus omit presenting the argument.
Theorem 6.7.
Let be an ideal on a regular and uncountable cardinal , let be a cardinal or , and let .
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(1)
if is a limit ordinal and Cut does not have a winning strategy in the game , then is -distributive with respect to .
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(2)
If is -complete and -distributive with respect to , and either , is a cardinal and , or , then Cut does not have a winning strategy in the game .
Recall that a nonprincipal ideal is precipitous if its generic ultrapower is forced to be wellfounded. It is a well-known standard result that (in our above terminology) an ideal is precipitous if and only if it is -distributive (see for example [13, Lemma 22.19]). It thus follows by the above that precipitousness of an ideal can be described via the non-existence of winning strategies for Cut in suitable cut and choose games. We will say more about the relationship between precipitousness and cut and choose games in Section 7 below.
7. Banach-Mazur games and strategic closure
In this section, we want to show how winning strategies for Banach-Mazur games on partial orders relate to winning strategies for certain cut and choose games.
Definition 7.1 (Banach-Mazur games).
Let be a regular uncountable cardinal, let be a monotone family on , let be a limit ordinal, and let be a poset with domain .
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If , let denote the following game of length . Two players, Empty and Nonempty take turns to play -positive sets, forming a -decreasing sequence, with Empty starting the game and with Nonempty playing first at each limit stage of the game. If at any limit stage , Nonempty cannot make a valid move, then Empty wins and the game ends. Nonempty wins if the game proceeds for -many rounds and the intersection of the sets that were played is nonempty. Otherwise, Empty wins.
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denotes the following game of length on the poset . Two players, Empty and Nonempty take turns to play elements of , forming a -decreasing sequence, with Empty starting the game and with Nonempty playing first at each limit stage of the game. If at any limit stage , Nonempty cannot make a valid move, then Empty wins and the game ends. Nonempty wins if the game proceeds for -many rounds and the collection of the sets that were played has a lower bound in .
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We let denote the game .
Clearly, if Nonempty has a winning strategy in a game for some and contains all singletons, then the same strategy makes them win . Let us observe that by a similar proof to that of Observation 1.2, it easily follows that if , then Empty has a winning strategy in the game for any monotone family on that contains all singletons. Note that an ideal is precipitous if and only if Empty has no winning strategy in the game , and that a poset is -strategically closed212121See [1, Definition 5.15]. Note that any -strategically closed poset is already -strategically closed by an easy inductive argument. if and only if Nonempty has a winning strategy in the game . We recall a classical result, which is verified when as [7, Theorem 4], and it is easy to see that the proof of [7, Theorem 4] in fact shows the following, replacing by an arbitrary regular and uncountable cardinal . This parallels Observation 3.5 and the comments preceding it.
Theorem 7.2 (Galvin, Jech, Magidor).
Let be a regular and uncountable cardinal, and let be regular. If we Lévy collapse a measurable cardinal above to become , then in the generic extension, there is a uniform normal ideal on such that Nonempty has a winning stategy in the game .
In the following, we want to compare the above games with the cut and choose games from our earlier sections. When , (1) and (2) below are essentially due to Jech in [11, 12]. For larger , (2) below follows from [5, Theorem on Page 718] and [2, Theorem 1.4] (we presented the latter in Theorem 6.5): That is, in his [5], Matthew Foreman showed that Empty not winning is equivalent to the -distributivity of . We will provide an argument that directly connects these types of games.
Theorem 7.3.
Let be a regular uncountable cardinal, let be an ideal on , let be a limit ordinal, and let be a poset with domain . Then, the following hold:
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(1)
Empty wins if and only if Cut wins for some .
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(2)
Empty wins if and only if Cut wins for some .
Proof.
Let us provide a proof of (1), and remark that (2) is verified in complete analogy. By Theorem 6.7, Cut having a winning strategy in the game is equivalent to not being -distributive with respect to .
Assuming that is not -distributive with respect to , we pick a sequence of -partitions of witnessing this. Let us describe a winning strategy for Empty in the game . In their first move, let Empty play the set . At any stage , given the last move of Nonempty, pick such that , which exists by the maximality of . Let Empty play . It follows that , as desired.
On the other hand, assume that Empty has a winning strategy in the game . Let be the first move of Empty according to . We will describe a winning strategy for Cut in the game , making use of an auxiliary run of according to . Given a play of in which the moves of Empty are for some , and Nonempty is to move next, for every possible next move of Nonempty, has a response in , which provides us with a dense set of such responses below in . Noting that maximal antichains in are exactly -partitions, let be an -partition of . Let Cut play an -partition of extending in their move. Choose will pick some element , and we let Nonempty play some -positive in their next move, such that Empty answers this by playing in their next move, according to . In this way, all choices of Choose are also moves of Empty, hence , since Empty is following their winning strategy . ∎
The next theorem will show that we in fact obtain instances of equivalent Banach-Mazur games and cut and choose games. The forward direction when in Item (2) below is due to Jech in [12], and the reverse direction of (2) for is due to Veličković in [25]. The full proof of (2) below is due to Dobrinen [3, Theorem 29].
Theorem 7.4.
Let be a regular uncountable cardinal, let be an ideal on , let be a limit ordinal, and let be a poset with domain . Then, the following hold:
-
(1)
Nonempty wins if and only if Choose wins for all .
-
(2)
Nonempty wins if and only if Choose wins for all .
Proof.
We provide a proof of (1), and remark that (2) is verified in complete analogy. For the forward direction, let be a winning strategy for Nonempty in , and let . We describe a winning strategy for Choose in , making use of an auxiliary run of according to . Suppose that Cut starts the game by playing an -partition of . Let Empty play , and let be the response of . Using the maximality of , let Choose pick such that as their next move. At any stage , assume Cut plays an -partition of , and let be the last move of Nonempty according to . Let Choose pick such that as their next move. Let Empty play , and let Nonempty respond with using . At limit stages, let Nonempty make a move according to . Since , we have , showing that we have indeed described a winning strategy for Choose, as desired.
For the reverse direction, suppose that Empty starts a run of the game by playing some . Let be a winning strategy for Choose in the game . We can identify with a function which on input for some considers the partial run in which the moves of Cut are given by the , the moves of Choose at stages below are given by the strategy , and produces a response for Choose to this partial run. We describe a winning strategy for Nonempty in the game , making use of an auxiliary run of according to .
For the first move, consider the set
and note that there is an -positive such that , for otherwise the complement of is dense in below , and hence there is an -partition of that is disjoint from , however , which is a contradiction. Let Nonempty pick such a as their response to Empty’s first move .
In the next round, suppose that Empty plays . Let Cut play an -partition of such that as their first move in the game . Consider the set
As before, there is in such that , and we let Nonempty respond with such . We proceed in the same way at arbitrary successor stages. At any limit stage , let , and let Nonempty pick such that by an argument as above.
In this way, the choices of Choose are exactly the choices of Empty in the above, and hence their intersection is nonempty, for Choose was following their winning strategy . This shows that we have just described a winning strategy for Nonempty in the game , as desired. ∎
We showed in Theorem 6.5 that a poset is -distributive if and only if for all , Cut does not win the game . The next characterization follows from Theorem 7.4, since a poset is -strategically closed (by the very definition of this property) if and only if Choose has a winning strategy in .
Corollary 7.5.
Let be a regular uncountable cardinal, let be an ideal on , let be a limit ordinal, and let be a poset with domain . Then, is -strategically closed if and only if Choose wins for all .
Let us close with some complementary remarks on the games studied in this section. We first argue that allowing for arbitrary large partitions is important in the above characterisations of precipitous ideals. For instance, a restriction to partitions of size does not lead to equivalent games. To see this, note that assuming the consistency of a measurable cardinal and picking some regular cardinal below, it is consistent to have an ideal on a cardinal such that Choose has a winning strategy in the game for any , but is not precipitous. Simply take when is either measurable, or in a model obtained from Theorem 7.2. It is well-known that the bounded ideal is never precipitous (see [7, Page 1]).
This can also hold for normal ideals. For example, work in a model of the form with a measurable cardinal with a solitary normal ultrafilter on . Let be the ideal on dual to . The cardinal is also completely ineffable, and we let be the completely ineffable ideal on , as introduced by Johnson in [15] (see also [9]). Since equals the measurable ideal on , that is defined as the intersection of the complements of all normal ultrafilters on in [9], we have by [9, Theorem 1.4 (5) and Theorem 1.5 (11)]. As in Observation 3.2, Choose has a winning strategy in the game whenever . But by a result of Johnson [15, Theorem 1.6], the completely ineffable ideal is never precipitous, that is Empty has a winning strategy in .
In general, it is harder for Cut to win than to win . To see this, note that for any precipitous ideal on , Cut does not win by Theorem 7.3 (1). However, Cut wins by Observation 5.2.
Building on results of Galvin, Jech and Magidor [7], Johnson [14, Theorem 4] shows that for ,222222The proof would also work assuming whenever . if is a -complete ideal on such that Nonempty wins the game , then is -distributive. Let be a normal precipitous ideal on .232323Note that the usual construction of a precipitous ideal on yields a normal precipitous ideal. See for example [13, Theorem 22.33]. Since is not -distributive, there exists such that Choose does not win by the above and by Theorem 7.4 (1). By the combination of these two observations, it is consistent that there exists a normal ideal on such that is undetermined.
This is still possible for . To see this, note that Shelah has shown that precipitousness of does not imply -distributivity of even if , holds and is normal (see [14, Comments before Theorem 4], [14, Theorem 2] and [23, Theorem 6.4 (2)]). In this situation, there exists some such that Cut wins by Theorem 6.5, but for all , Cut does not win by Theorem 7.4. Using [14, Theorem 4] and Theorem 7.4 (1) as above, there exists such that Choose does not win . Hence it is consistent that there exists a normal ideal on such that is undetermined.
8. Final remarks and open questions
We have seen that for most cut and choose games, the existence of a winning strategy for Cut has a precise characterization as in Figure 1 below (where (*) indicates that the stated equivalence is only known to hold under certain additional completeness and cardinal arithmetic assumptions). Let be an uncountable regular cardinal, a limit ordinal, a regular cardinal and a -complete ideal on . For the proofs of the first three rows of Figure 1, see Observations 1.2, 2.2 and 3.4, and for the remaining ones Observation 5.2 (2) and (1), Theorems 6.5, 6.7 and 7.3 (1). Recall the equivalence between -games (where Cut presents disjoint partitions of size ) and -games proved in Observation 5.7.
| Cut wins | Characterization |
|---|---|
| , | |
| , | |
| is not weakly compact | |
| is not uniformly -distributive (*) | |
| is not -distributive (*) | |
| is not -distributive (*) | |
| is not precipitous |
Regarding winning strategies for Choose, we have seen in Corollary 7.5 that Choose wins for all if and only if is -strategically closed. However, it is often much harder to characterize the existence of winning strategies for Choose. For instance, it is open in many cases whether the existence of winning strategies for Choose in different cut and choose games can be separated.
Question 8.1.
Is it possible to separate the existence of winning strategies for Choose in and for some limit ordinal ?
Besides these two extreme cases, the previous question is also open for games in between the above ones, such as , or the variant of with a different (finite or infinite) number of elements required in the final intersection. An obvious candidate for a model to answer Question 8.1 positively would be the model obtained in the proof of Theorem 4.1.
Question 8.2.
In the model obtained in the proof of Theorem 4.1, where is inaccessible but not weakly compact, and in which Choose has a winning strategy in the game whenever and , with being a hopeless ideal as obtained from the generic measurability of in that model, does Nonempty have a winning strategy in the precipitous game (and hence in the game for every by Theorem 7.4)?
A related natural question regarding the ideal games studied in Section 3 is whether the existence of a winning strategy for Choose can ever depend on the choice of ideal. We formulate our question for ideal games of the form in the below, however analogous questions could clearly be asked regarding all sorts of variants of these games that we study in our paper.
Question 8.3.
Is it consistent that there exist -closed ideals on so that Choose has a winning strategy for , but not for ?
Note that by Observation 3.3, this cannot happen if is -strongly compact. This question is equivalent to the question whether the existence of winning strategies for Choose in any of the ideal cut and choose games introduced in this paper can depend on the choice of starting set , when is a -complete ideal on . If Question 8.3 had a positive answer, then we could easily form an ideal that is generated by isomorphic copies of such ideals and on two disjoint subsets of such that the existence of a winning strategy of Choose in the game depends on the starting set . In the other direction, if the existence of winning strategies for Choose in some ideal cut and choose game related to can depend on the choice of starting set , then we can consider the games with respect to the ideals obtained by restricting to those starting sets, exactly one of which will be won by Choose.
In Section 4, we have seen that it is consistent that Choose wins for a small inaccessible cardinal . The cardinal studied there is not weakly compact, however Mahlo. We do not know if the latter is necessary.
Question 8.4.
Is it consistent that Choose wins , where is the least inaccessible cardinal?
Theorem 2.5 and Observation 3.5 show that if is regular and Choose wins , then is generically measurable as witnessed by some -closed notion of forcing, which in turn implies that Choose wins . We ask if either of these implications can be reversed:
Question 8.5.
Let be regular.
-
(1)
If is generically measurable as witnessed by some -closed notion of forcing, does it follow that Choose wins ?
-
(2)
If Choose wins , does it follow that is generically measurable as witnessed by some -closed notion of forcing?
This latter question makes sense also if :
-
(3)
If Choose wins , does it follow that is generically measurable as witnessed by some -closed notion of forcing?
Regarding the characterisations of distributivity in Section 6, we have partially answered a question of Dobrinen [2, paragraph after Theorem 1.4], however the following is still open to some extent.
Question 8.6.
Which degree of completeness of a poset is necessary in order to show that the -distributivity of implies that Cut does not have a winning strategy in the game ?
Note that -completeness suffices by Theorem 6.5. In conjunction with Lemma 6.4, this shows that the existence of a winning strategy for Cut in the games and are equivalent. In most cases, an analogous result holds with respect to the existence of winning strategies for Choose by Theorem 6.2, however we do not know whether this is the case when is a limit cardinal such that whenever . In this direction, Theorem 6.2 (2) only shows that and are equivalent.
Question 8.7.
Is the existence of a winning strategy for Choose in the games and equivalent, assuming that is -complete?
The following questions concern the relationship between cut and choose games and Banach-Mazur games. The first one is connected with the separation of the existence of winning strategies for Choose for different games. For instance, is it consistent that Choose wins , but Cut wins for arbitrary -complete ideals ? This is equivalent to the following question.
Question 8.8.
Is it consistent that Choose wins the game , but there are no precipitous ideals on ?
Similarly, one can ask about situations in which certain cut and choose games are undetermined. Note that for all cut and choose games studied in this paper, the existence of a winning strategy for Choose implies that there is an inner model with a measurable cardinal. Therefore, the statements listed in Figure 1 show that all games of length where Cut plays partitions of size can be simultaneously undetermined, for instance when and holds. Concerning larger partitions, we have seen at the end of Section 7 that it is consistent that each of and is undetermined, and in fact, the former holds for any normal precipitous ideal on . This leads to the following question, which is left open by the discussion at the end of Section 7.
Question 8.9.
Can the game be undetermined for some -complete ideal on ?
This leaves open whether the games and can be simultaneously undetermined for some -complete ideal . This would follow from a positive answer to the next question, which is closely connected to Question 8.8.
Question 8.10.
Is it consistent that there is a precipitous ideal on , however Choose does not win ?
We would finally like to mention a few more natural question about Banach-Mazur games. We defined for so that at limit stages, Nonempty goes first. Can we separate the existence of winning strategies for either player between this game and its variant where we let Empty go first at limit stages? Moreover, the game depends only on the isomorphism type of . Is this also the case for ? For instance, if and are ideals on with , does Empty win if and only if Empty wins ?
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