Convexity properties of the canonical S-graphs
Anthony Joseph

TL;DR
This paper explores the convexity properties of S-graphs related to Kashiwara crystals, providing insights into their extremal elements and applications to understanding the structure of Verma modules in Kac-Moody algebras.
Contribution
It establishes convexity properties of S-graphs and characterizes their extremal elements, advancing the understanding of Kashiwara crystals and Verma modules.
Findings
Extremal elements of convex sets are S-sets from S-graphs.
Convexity properties help describe Kashiwara crystals precisely.
Applications to the structure of Verma modules in Kac-Moody algebras.
Abstract
Let n be a positive integer and c an n-tuple of natural numbers. A convex set in Euclidean n-space given by a family of linear relations in the elements of c and depending on their natural order is defined. The extremal elements of this convex set are shown to be the S-set obtained from the S-graph defined by c constructed in studying the Kashiwara crystal B associated to a Verma module for a Kac-Moody algebra. The result has applications to the precise description of B.
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Taxonomy
TopicsAlgebraic structures and combinatorial models · Advanced Algebra and Logic · Advanced Operator Algebra Research
Convexity Properties of the Canonical -graphs
Anthony Joseph
Donald Frey Professional Chair
Department of Mathematics
The Weizmann Institute of Science
Rehovot, 76100, Israel
[email protected] supported in part by the Binational Science Foundation, Grant no. 711628
Key Words: Convexity, -graphs, Crystals.
AMS Classification: 17B35
Abstract. Let be a positive integer and set . Let be non-negative integers. A convex set , given by a family of linear relations in the and depending on their natural order, is defined. The extremal points of this convex set is shown to be the -set constructed in [3]. A main application of this result is towards [4] a precise description of Kashiwara crystal.
1. Introduction
We shall assume the base field to be the set of rational numbers . We could equally well replace by the real field .
1.1. -graphs
In [3, 6.7] -graphs were introduced to understand the structure of the Kashiwara crystal for an arbitrary Kac-Moody Lie algebra. In this it was noted that must have a polyhedral structure if “dual Kashiwara functions” associated to a given simple root, exist and are linear. These functions are not intrinsically canonical; but their maximal values are, and moreover the latter determine the required polyhedral structure.
When the Weyl group is finite then a result [1, Thm. 3.9] of Berenstein-Zelevinsky shows that one may compute dual Kashiwara functions though the tropical calculus. This method breaks down in general. The role of -graphs was to give a procedure which should always work.
Even when the tropical calculus can be applied it gives (surprisingly) far too many functions (in the sense that only their maxima are to be used). This ambiguity is absent from the -graph method in so far as it is applicable. Thus even when is finite, one should show that the tropical calculus gives the integral points of a convex set whose extremal elements are those obtained from -graphs.
The main result of the present work describes a convexity property (Thm. 1.4) associated with -graphs aimed at ultimately establishing the property alluded to in the previous paragraph. It is yet one more property of these remarkable graphs. We also give in Section 2 a new method to read off a function from a tableau and in Section 4 a method to reconstruct the tableau.
1.2. Functions
Fix a positive integer and set . An -graph (of order ) has a finite vertex set labelled by elements of . For each , let denote the set of all vertices of with label . Then the crucial “” property of an -graph is for all and all , there exist and an ordered path from to .
The above property would lead to an immediate contradiction had we used arrows on edges to define ordering. Instead we assign to each edge of a non-negative integer and require that the values of these integers increase along an ordered path [3, 6.7]. It would seem to us that graphs with this property should be of wide interest.
A further important property of an -graph is that it admits “evaluation” [3, 6.2]. This means that to each there is a linear function such that for each pair joined by an edge with label one has
[TABLE]
where the are linear functions on an dimensional vector space over arising from the Kashiwara functions on the crystal (3.3).
One may remark that an -graph may admit cycles, so this condition is not trivially satisfied.
Here the are viewed as co-ordinate functions on an dimensional vector space over .
In addition to the above there is a distinguished vertex to which we assign the “driving function”. Here for the most part it will be taken to be the zero function. Assume further that is connected. Then the set of linear functions is determined by and the driving function. Such a set is called an -set. The above are identified as Kashiwara functions (3.3) for a particular choice of simple root. Then the property gives, via a sum rule - hence the epithet , the maxima of the resulting “dual Kashiwara functions” a required invariance property [3, 6.7] needed for describing as a polyhedral subset of .
1.3. Order Relations
The structure of an graph of order should of course depend on the natural order relation on the set . Fix a linear order (also known as a total order) on . Since there is a danger that this order relation may be confused with the natural order on we note it by . (This precaution was not taken in [3]).
The relation induces a linear order on . To simplify notation we use c to denote this set equipped with which we shall always assume lifts the natural order on . In other words implies . We further let denote the natural linear order on .
Even imposing some further natural conditions ([3, ] some of which are the above) an -graph is not uniquely determined by c. However it is shown in [6] that there is a -graph , uniquely determined by c, appearing as a subgraph of the graph of links of equivalence classes of unordered partitions into parts satisfying certain boundary conditions. It is these -graphs which we consider. It is also shown in [5, 5.8] that is independent of the lifting of the natural order on .
1.4. Convexity
The canonical -graphs are constructed by a process which we call binary fusion [3, 7.2]. We review this in Section 3.3. For the moment we fix such that . Then we relabel the set as , so that .
In the above conventions, set defined by
[TABLE]
[TABLE]
for all . It is a convex set, Lemma 3.6. Let denote the extremal points of . The main result of this work is the following
Theorem**.**
.
1.5.
Recall the above notation. Take . Set . Then for some . By construction . It follows that implies the relations
[TABLE]
In what follows relation (resp. means the combination of (resp. ).
Lemma**.**
* and are equivalent.*
Proof.
It remains to prove that implies .
Suppose that for some that are nearest neighbours in , with respect to . If either or is the unique maximal element of , with respect to , then the condition on given by is the same as that given by . Otherwise and are nearest neighbours in . Then the proof proceeds by the obvious induction.
∎
Remark 1. If the coefficients are increasing in , then just asserts that are increasing in . In this case implies , for all . However this is generally false even for as was pointed out to me by S. Zelikson through the following example. Suppose . Then give , which together imply . Yet gives the relation , which is generally stronger. In this case the above set of relations could have been summarized as
[TABLE]
Remark 2. Obviously implies but the converse can be false even for . Thus suppose . Then give , which imply . Together they imply , which is weaker than we would have obtained from , taking , namely .
1.6.
The main results of this paper are applied to the description of the dual Kashiwara functions for the Kashiwara crystal in [4], for example in [4, Lemmas 7.2.7, 8.5].
Acknowledgements. I should like to thank S. Zelikson for pointing out to me that was insufficient to describe the set satisfying Theorem 1.4. His understanding of the results in [1] also helped to inspire this work.
2. Tableaux
This section should be skipped on a first reading as it requires some knowledge of the results in [3] which we shall not recall in great detail. Then a fairly detailed knowledge of [3] will be required.
2.1.
Fix . Let us first review the main properties of the set (or simply, ) of equivalence classes of diagrams having columns (and satisfying certain boundary conditions) given in [3, 2.1]. The boundary conditions are basic to the structure of the sets of dual Kashiwara functions and in turn are mainly responsible for the lack of inversion symmetry in Equation .
Let (or simply, ) be the graph whose vertices are the elements and whose edges are the single block linkages [3, 3.3,6.1].
Recall:
There is a “complete” diagram of minimal height [3, 2.3.7] in each equivalence class.
To each diagram we associated a tableau defined [3, 3.1] by inserting the coefficients into blocks in a unique fashion (so then the notion of diagram and tableau become interchangeable). Through this one associates to each tableau a function . It is independent of the choice of in its equivalence class [3, 4.5]. Conversely the map , separates these classes [3, 4.7]. When the fixed “driving function” is set equal to zero, takes the form
[TABLE]
where the are linear combinations with integer coefficients of the .
For each choice of c there is a subset , or simply , of of tableaux determined by rules given in [3, 3.2]. The subgraph of whose vertices lie in is denoted by .
Notation. When defines a vertex of we shall denote by .
Suppose that is a complete tableau. It was shown in [3, 5.2] how to compute from the heights of its columns. Here we give a new formula which is perhaps better and in any case allows us to show that . Conversely (Section 4) it eventually allows one to reconstruct a tableau from a function.
2.2.
The main result of this section is to show that how to obtain the coefficients from . In view of this allows one to read off the function from . It provides a useful alternative to the method described in [3, Sect. 4].
The set of columns of a tableau is denoted by . The height of a column is denoted by . The height function of is the map . Set .
Let be a complete tableau. In this case the height function of takes a rather special form [3, 2.3.3]. Again the numbering the blocks of is also rather special [3, 3.1]. Indeed a block lying in an odd (resp. even) row of the column has entry (resp. ), except if (resp. ), in which case (if it exists) it is called an extremal block [3, 3.1] and is not given a numerical entry.
In a row of odd (resp. even) height the contribution to from (resp. ) is (resp. ), where (resp. ) is minimal (resp. maximal) such that has height . The boundary conditions ensure the existence of such a for a complete tableau [3, Lemma 2.3.2]. Again this formula does not need there to be a numerical entry in an extremal block.
Recall [3, 2.2] that distinct columns of of height are said to be neighbouring at level if every column of between has height .
The left (resp. right) indicator (resp. ) of a column is set equal to [math] if there is no column of height to the left (resp. right) of and set equal to otherwise.
Set . Given integers , set .
Lemma**.**
Assume . Let have height . Then
(i) Suppose is odd. If there exists such that and are neighbouring at level , then . Otherwise . Expressed less pedantically .
(ii) Suppose is even and strictly positive. If there exists such that and are neighbouring at level , then . Otherwise . Expressed less pedantically .
(iii) If , then .
Proof.
We shall compute using [3, 4.4].
Strictly speaking the proof below is only valid when . A few extra computations are needed for the case . Alternatively it may be validated for the case by adjoining an extra empty column to on the left. Notably the new tableau so obtained still satisfies the boundary conditions [3, 2.2]. The rules [3, 4.4] for computing show that the result is independent of which can be set equal to zero. Again since the first column is empty, there are no contributions to in and so . Finally may be completed. This just amounts to adjoining a suitable number of dominoes to the zeroth column [3, 2.3.1].
For (i), suppose is odd.
Consider the contribution to (resp. ) from the rows of odd height . If these contributions come from a column of height with maximal such . Thus these contributions are the same. If , this contribution is (resp. ) with defined as in (i) of the lemma. On the other hand the height function of a complete tableau [3, 2.3.3] implies that has height at least . Thus the contribution for is (resp. ). Thus the overall contribution to coming from rows of odd height is just .
Consider the contribution to (resp. ) from the rows of even height . If , these contributions come from a column of height with minimal such . Thus these contributions are the same. On the other hand the height function of a complete tableau [3, 2.3.3] implies that has height at least . Then for the contribution is (resp. ). Thus the overall contribution to coming from rows of even height is just . Combined with the expression in the previous paragraph, this gives the first part of (i).
For (ii) suppose that is even. The argument is similar so we can be a little briefer.
Consider the contribution to (resp. ) from the rows of odd height . If these contributions are the same. On the other hand the height function of a complete tableau [3, 2.3.3] implies that has height at least . Thus the contribution for is (resp. ). Thus the overall contribution to coming from rows of odd height is just .
Consider the contribution to (resp. ) from the rows of even height . If , these contributions are the same. If , this contribution is coming from the column (resp. coming from the column ). On the other hand the height function of a complete tableau [3, 2.3.3] implies that has height at least . Then for the contribution is (resp. ). Thus the overall contribution to coming from rows of even height is just . Together with the expression in the previous paragraph gives the first part of (ii).
If , the only thing that changes in the proof of (ii) is that there is zero contribution to when . Hence (iii).
∎
2.3.
Let be a tableau. In [3, 3.2.1], we defined a partial order on on . It is not independent of the choice of in its equivalence class, except for the subset of equivalent complete tableaux [3, Lemma 5.3].
Now recall that we have used c to define the set of coefficients combined with a linear order on lifting the natural order on the . Following [3, Definition 5.3] we let denote the subset of of equivalence classes of tableaux such that , with complete, lifts to the given linear order on . Let be the corresponding subgraph of .
This means that depends on the partial order on the . It also depends on the lifting; but this can be avoided by identifying vertices corresponding to the same function. The details are worked out in [5, 5.8]. One may remark that because is only a partial order means that some of the graphs , for the different orderings, may coincide. The total number of such graphs is the Catalan number , [5, 6.7].
Now suppose . Then by [3, Lemma 5.7] we obtain
[TABLE]
Recall [3, 3.2.1] that can be described as follows. For simplicity we shall assume that is complete which is all we need here. This assumption simplifies the numbering in the blocks.
Assume odd.
Let be columns of a complete tableau of height which are neighbouring at level . This means that the columns strictly between them have height . Let be the columns of between having height and set . The entries in their row are respectively . We remark that since is complete, then if one has by [3, Lemma 2.3.3 (iii)]. Then by [3, 3.2.1] the relations (and in particular ) belong to .
Now fix a complete tableau and let be its set of columns. Suppose that . This means that there exists such that and are neighbouring at level . Then by the above belongs to . Thus if , we obtain and so from the conclusion of Lemma 2.2(i), that
[TABLE]
Since , this again holds if .
Suppose that is even.
Let be columns of a complete tableau of height and neighbouring at level . Then similar to the case when is odd (or by duality [3, 2.3.8]) we may deduce from [3, 3.2.1] that the relation belongs to . Thus if we obtain . Since , from the conclusion of Lemma 2.2(ii),(iii), we obtain
[TABLE]
Comparison of above with gives the
Lemma**.**
Suppose , then , satisfy with .
3. The Consequences of Binary Fusion
3.1.
By [3, Thm. 8.5] one may construct by a method quite different to that described in 2. We called this binary fusion [3, 7.2]. It implies for example that , which in general is quite impossible to prove directly, though the reader is invited to try. (Lamprou checked this for in all cases (and also that ) through a long and tedious computation. This was a main inspiration for binary fusion.) Binary fusion is also needed to show that is an -graph [3, Sect. 7]. It seems quite impossible to prove this from our previous construction; but again the reader is invited to try.
We recall briefly how binary fusion works.
Recall that c designates the set of coefficients with a fixed linear order on lifting the natural partial order on these coefficients. Let denote the unique maximal element of with respect to . Recall this means that , for all .
Set . Assume that the labelled graph has been constructed, where the index set (resp. is viewed as (resp. ) by closing up gaps in the obvious fashion (see [3, 7.2(1)]). Define new graphs isomorphic to as unlabelled graphs. Let be the graph obtained from by leaving the labels in unchanged and increasing the labels in by . Let the labelling on be defined by required that the hitherto defined unlabelled graph isomorphism fixes all labels with the following exception. If has label , then is assigned the label .
Then is defined as the union of and in which each vertex of with label is joined to with an edge having label .
It is convenient to view a function obtained from without closing up gaps. In particular and the co-ordinate function (represented by in ) will not appear in . Then may be expressed in the form , where the are certain linear combinations of the . Through binary fusion we obtain two elements arising from , that is from and from .
Lemma**.**
* differ from only in coefficient of the co-ordinate function.*
Proof.
In our construction the functions obtained from are those obtained from on replacing the term by and on replacing by , when . In terms of co-ordinates this means that becomes .
On the other hand is a subgraph of , so by [3, Sect. 6.2, ] (reproduced here as eq. ) functions corresponding to adjacent vertices are related in the same manner. Since is connected by construction it is enough to show that there is just one vertex which describe the same function in each graph to conclude that this holds for every common vertex.
We claim that there is a distinguished vertex common to both graphs to which we assign the same function (the “driving function” which we may take to be the zero function). This distinguished vertex is the unique vertex with label in the unique pointed chain [3, Sect. 6.3, ] lying in . Now this chain has a unique edge with label which by the above construction connects a vertex with label in to the corresponding vertex with label in . It follows that the unique vertex in the pointed chain with label lies in (resp. ) if (resp. ). Since this proves our claim.
Thus which indeed differs from only in the co-ordinate.
Finally the assertion for obtains from that for through [3, 7.8(i),(ii)] (of whose conclusion is reproduced in below).
∎
3.2.
Some further properties of binary fusion are given below.
Recall [3, 7.8(i),(ii)], that for every vertex of there exists such that
[TABLE]
Here we remark that , the equality being strict if , for all .
Recall that (resp. ) is the missing label on the vertices of (resp. ). Define a linear map , by and , for .
Through the definition of and the formula relating when are neighbours in an graph , it follows that
[TABLE]
Proposition**.**
Suppose , then .
Proof.
By Lemma 2.3 it remains to show that , holds for all . The proof is by reverse induction on . For , it results from Lemma 2.3. For we may apply the induction hypothesis to the graph . Then the assertion follows from Lemma 3.1.
∎
3.3.
Let be the vector space , that is to say consisting of countably many copies of in which all but finitely many entries are zero. The Kashiwara functions , where runs over an index set of simple roots are the linear functions on defined in [2, 2.3.2]. They arise from the Kashiwara tensor product rule. Here is fixed and this index suppressed and is replaced by the finite subset . For our present purposes the referred to in earlier sections as the Kashiwara functions may be viewed as infinite linear combinations of the co-ordinate functions on . Moreover the entries of corresponding to an index may be taken to be equal to zero, so that the Kashiwara functions may be more simply viewed as linear functions on an dimensional vector space, which we again denote by , over . They are linearly independent and so for any -tuple of elements of , there exists such that , for all .
Lemma**.**
Take any linear ordering on and let be the unique maximal element in with respect to that ordering. Then there is choice of such that for all .
Proof.
The proof is by induction on . The assertion is obvious if , since is reduced to a single vertex.
Recall the construction of binary fusion and the choice of given in 3.1.
We may regard the linear ordering on as a linear ordering on . It induces a linear ordering on the subgraph .
Now let be the unique maximal element of . By the induction hypothesis we can suppose that there exists such that for all . Let be the maximal subsets of such that
[TABLE]
Set . Since is the missing label on the vertices of , we can take to be any element of and in particular such that
[TABLE]
Then by it follows that for all .
Now let be the unique maximal element of . Suppose belongs to (resp. ), that is (resp. ). Clearly we can still choose such that (resp. ) leaving the values of the and the order relations in unchanged.
It follows from that the choice of satisfies the conclusion of the lemma, noting that , means that .
∎
Remark. Suppose that is chosen so that the are pairwise distinct. It is clear from the above proof that it is only the ordering between the , which determines the ordering between the .
3.4.
Corollary**.**
.
Proof.
Take . Suppose that there exists a finite subset of and positive rationals summing to such that . By Lemma 3.3, there exists such that , with a strict inequality if . Then substitution forces , for all . Hence the assertion. ∎
3.5.
Recall the notation and definitions of 1.4.
Proposition**.**
* lies in the convex hull of .*
Proof.
The proof is by induction on . For , condition is empty whilst just means that lies in the convex hull of the pair , as required.
As in 1.3, lift the partial order on induced by the natural order on to a linear order and let c be the resulting set with respect to .
Let be the unique maximal element of c and set . By the induction hypothesis we can assume that the assertion of the proposition has been proved with respect to the graph , which we recall (3.1) is relabelled by closing up gaps.
Recall (3.1) that is the graph obtained from by increasing the labels in by .
Consider a convex linear combination of elements represented by the sequence , with and being satisfied with respect to .
The shifting of indices in the construction of means that the term is modified to and that is replaced by when .
Thus becomes
[TABLE]
as the corresponding convex linear combination of elements .
Now is obtained from by an unlabelled graph isomorphism which just relabels a vertex with label by the label . This replaces the term by and the term by , leaving the remaining terms unchanged.
Recalling the notation of 3.2, it follows that becomes the element
[TABLE]
as the corresponding convex linear combination of elements .
However this is not quite the end of the story since we must view as a subset of . In this we recall that is the union of in which a vertex in with label is joined to (which has label ) by an edge with label . This changes the value of the functions associated to the vertices of . We calculate this change below.
Fix , so then . Let denote the -tuple which is is the entry and [math] elsewhere. We claim that
[TABLE]
To show this, consider neighbours . Recalling (resp. ) of [3, Sect. 6], let (resp. ) be the label assigned to the vertex (resp. assigned to the edge joining ). Then by of [3, Sect. 6] one has
[TABLE]
By definition of the indices on coefficients do not change, that is . Again equals [math] unless , in which case it equals . Then from the definition of it follows from that
[TABLE]
Recall ( of [3, 6.3]) that is connected. Then by , it suffices to establish for just one element . In this we shall adopt the convention that .
Recall [3, 6.3] the notion of a pointed chain and let be the unique element in the pointed chain with label , that is to say . Then either is the driving function or the previous element in the pointed chain has label , in which case . On the other hand the next element in the pointed chain has label and indeed coincides with .
Since are joined by an edge with label it follows from of [3, 6.3] that . On the other hand from the previous formula we obtain . Subtraction gives for this particular choice of .
In view of it follows that becomes the element
[TABLE]
as the corresponding convex linear combination of elements , when is viewed as a subgraph of by the above construction.
Taking a convex linear combination of these two elements lying in we may construct a third element whose entry in the place is a convex linear combination of the pair .
It remains to show that give the most general possible solution to . For this holds by the induction hypothesis. Furthermore in this we may note that . On the other hand by choice of , one has . Thus by and the induction hypothesis and so by and we can make any choice of satisfying
[TABLE]
.
In view of the definition of , the inequalities in are those of . Moreover by the second inequality in for , it also gives the second inequality in for . Finally the first inequality in combined with the first inequality in for , gives the first inequality in for . This completes the induction step.
∎
Remark 1. It is not hard to check that this argument can be used to give a second proof of Proposition 3.2.
Remark 2. A propos equation it is false in general that
[TABLE]
though this does hold for some choices of .
3.6.
Lemma**.**
* is a convex set.*
Proof.
Let be a finite index set and suppose that the satisfy for all . Let be positive rational numbers summing to . We must show that , satisfy . This is obvious for . Set , which is . Since the satisfy we obtain , for all . Then , and so the satisfy . Of course the general case is similar since this just corresponds to omitting successively elements of . ∎
Remark. This is actually a slightly more general result since we do not need to know for its proof that .
3.7.
We may now give a proof of Theorem 1.4. Through Proposition 2.3 and Lemma 3.6 it follows that contains the convex hull of and hence is equal to it by Proposition 3.5. Finally apply Corollary 3.4.
4. Reconstructing a Tableau from a Function
The advantage of tableaux over binary fusion is that can be read off directly, [3, Sect. 4] or here by Lemma 2.2, from the tableau whereas the corresponding function is only given inductively by following the path in to the driving function and using .
4.1.
The aim of this section is to give a converse to Lemma 2.2, that is to say given a function which is linear in the co-ordinates to find a complete tableau such that . In this we shall assume that the coefficients are indeterminates in terms of which the coefficients of are expressed as linear functions. Otherwise the uniqueness of is not assured. Not all linear functions can be represented in this fashion (see Example 2 of 4.2) and so we must also establish the existence of .
Let us first recall some further results of [3].
4.2.
Let be a complete tableau (with columns).
Set . If is odd (resp. even) then the unique strongly extremal column [3, Def. 2.3.4] of is the leftmost (resp. rightmost) column of of height .
Our first task is to identify the unique strongly extremal column of the prospective tableau . This is provided by the remarkably simple lemma below. Retain the notations and conventions of Lemma 2.2. Express as in . We recall that if is the empty tableau, then is the driving function which here we are taking to be equal to zero.
Lemma**.**
Suppose that is not the empty tableau. Then for all the unique strongly extremal column of is if and only if , for all .
Proof.
Let be the unique strongly extremal column of . It has height which by hypothesis is . If is odd (resp. even) then (resp. ). Thus only if follows from definitions and the formulae in (i),(ii) of Lemma 2.2.
Suppose that . Again suppose that is odd (resp. even). Then by Lemma 2.2 it follows that , has odd (resp. even) height and that (resp. ).
It remains to show that . Suppose . Take odd (resp. even) and recall [3, Lemma 2.3.2] that (resp. ). By our hypothesis, equality must hold. Thus either and has even height, or and has odd height. Recalling that are all zero by definition, this means that and or and .
On the other hand since , it follows that (resp. ) defined in (ii) (resp. (i)) of Lemma 2.2 exists. Then by (ii) (resp. (i)) of Lemma 2.2 we obtain (resp. ), which is a contradiction. ∎
Example 1. Take and let be defined by the partition . Then , and so . Then the lemma , is the strongly extremal column and indeed this is the case.
Example 2. Take and , with . Then a tableau for which would have to have both and as its unique strongly extremal column. In other words one cannot represent the function through a tableau. Of course if we take to define a new coefficient , then this function is represented by the tableau defined by the partition .
4.3.
The above result seems at first sight to be in conflict with the rather important [3, Lemma 5.4]. The latter asserts that when we add to the driving function (which we had previously taken to be zero) and replace by , then the coefficient of equals zero when is the unique strongly extremal column of . Then from
[TABLE]
we obtain , whilst from Lemma 4.2 we obtain . Together [3, Lemma 5.4] and Lemma 4.2 imply the
Corollary**.**
Take . If is the unique strongly extremal column of then .
Proof.
To be reassured we give a direct proof. We can assume that is complete, since completion does not change the strongly extremal column [3, 2.4], nor by [3, 4.5] the associated function . One has . If is odd, is a left extremal column and so the contribution to the coefficient of from the row of height is zero. On the other hand by [3, Lemmas 2.3.3, 2.3.2] if is odd, the height of (resp. ) is (resp. ) and if is even, the height of (resp. ) (resp. ). Then using [3, 4.4] and the fact that is well-numbered [3, 3.1], one checks the contributions to , from the remaining rows cancel, in pairs. Thus . ∎
Remark. Conversely this gives a further proof of [3, Lemma 5.4], which was an important result in the application of -graphs to the required invariance property of dual Kashiwara functions.
Example. Take and consider the tableau defined by the partition . Then is its unique strongly extremal column, whilst , and indeed .
4.4.
Let be a non-empty complete tableau of height and let be its unique strongly extremal column.
A column of of height is said to be quasi-extremal [3, 3.3.1] if it is not . By definition of the strongly extremal column, if is odd (resp. even), a quasi-extremal column of height must lie to the right (resp. left) of , that is (resp. ).
A tableau does not possess a quasi-extremal column of height , if and only if its strongly extremal column is the unique column of height . In this case the block in row may be removed from the strongly extremal column to obtain a tableau and moreover (as follows trivially from [3, 4.4]. Moreover since is assumed complete, the tableau so obtained from is still complete. Indeed completion adjoins dominoes by the rule described in [3, 2.3.1]). If one cannot adjoin a domino to , then a fortiori one cannot adjoin a domino to . One may further remark that by the boundary conditions [3, 2.2] it follows that remains the strongly extremal column of .
Thus without loss of generality we may assume that has at least two columns of height , or that is empty.
Let be the unique strongly extremal column of and let be a second column of height , which we can assume is a neighbour at level . Then (resp ) if is odd (resp. even) and is minimal with the property that has height . This determines uniquely.
Our second task is to identify the unique quasi-extremal column which is a neighbour at level of the unique strongly extremal column in the prospective tableau of height . This is provided by the
Lemma**.**
Let be a complete tableau of height with at least two columns of height . Let be the unique strongly extremal column of . Then is the unique neighbour of at level if and only if and (in which case is odd) or and (in which case is even).
Proof.
By a suitable relabelling, only if follows from definitions and the formulae in (i) and (ii) of Lemma 2.2.
Consider the converse.
Take equal to in Lemma 2.2. Then by its conclusion we can write , where or is some . Comparison with the hypothesis of the lemma (remembering that the are supposed indeterminates) excludes the case and forces , if and if . From the way in which is obtained in applying Lemma 2.2, this implies in the first (resp. second) case that (resp. ) and is a left (resp. right) neighbour to at level .
In the first case above is odd and so (by [3, 2.3.4]) and since is complete, (by [3, 2.3.3]). Thus . If equality holds, then is even and by Lemma 2.2(ii),(iii) we obtain a second and different formula for , which is contradictory.
The proof in the second case is similar and also obtains from the first case by duality. In more detail is even and so (by [3, 2.3.4]). Thus (by [3, 2.3.3]). Thus . If equality holds, then is odd and by Lemma 2.2(i) we obtain a second and different formula for , which is contradictory.
∎
4.5.
Take a function of the form
[TABLE]
where the are linear combinations of the viewed as indeterminates. We can assume that is non-zero, otherwise , where is the empty tableau.
Suppose that there is a complete tableau with . Then by Lemma 4.2, there must be a unique such that . This determines the the unique strongly extremal column of to be . Then (as noted in 4.4) we can assume that there is a second column of with the same height as and hence a unique column of height which is a neighbour to (on the appropriate side) at level .
Then by Lemma 4.4, there must be a unique such that satisfies the conditions given in its conclusion. This determines defined in the previous paragraph. Then as noted in 4.4 one may remove the block at level in to obtain a new complete tableau with as its unique strongly extremal column. The latter admits as its unique strongly extremal column.
We claim that
[TABLE]
This follows easily from [3, 4.4] recalling that a complete tableau is well-numbered [3, 3.1].
Suppose and . By it follows that
[TABLE]
Consequently , exactly when . By Lemma 4.2 this is compatible with being the unique strongly extremal column of .
Suppose and . By it follows that
[TABLE]
Consequently , exactly when . By Lemma 4.2 this is compatible with being the unique strongly extremal column of .
We thus obtain a new function with coefficients determined from those of the original function with given by the right hand side of . The previous computation shows that the condition imposed by Lemma 4.2 on is automatically satisfied. (Given that is defined, it is equivalent to the condition imposed on by Lemma 4.4.)
Finally we continue inductively, that is to say by imposing the condition on implied by Lemma 4.4 and so on. Eventually the empty tableau is reached which must correspond to the zero function.
It is clear that this gives a sequence of conditions on which if satisfied, determines a complete tableau such that . This is what we wished to exhibit.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Berenstein and A. Zelevinsky, Tensor product multiplicities, canonical bases and totally positive varieties. Invent. Math. 143 (2001), no. 1, 77–-128.
- 2[2] A. Joseph, Consequences of the Littelmann path theory for the structure of the Kashiwara B(∞) crystal. Highlights in Lie algebraic methods, 25–-64, Progr. Math., 295, Birkhäuser/Springer, New York, 2012.
- 3[3] A. Joseph, A Preparation Theorem for the Kashiwara B ( ∞ ) 𝐵 B(\infty) Crystal, Selecta Math. (to appear).
- 4[4] A. Joseph, Trails S 𝑆 S -graphs and identities in Demazure Modules.
- 5[5] A. Joseph and P. Lamprou, A new interpretation of the Catalan numbers, ar Xiv:1512.00406.
- 6[6] A, Joseph and S. Zelikson, Dual Kashiwara functions for the B ( ∞ ) 𝐵 B(\infty) crystal, in preparation.
