1. Introduction
In the preliminary section, we initially describe four fundamental
statistics introduced by Wachs and White [9] using the technique of restricted growth
functions as in [3],
where the number of blocks of the
set partition of turns out to
be the maximal letter in the restricted growth function as observed by
Sagan in [5]. In the
preliminary section, we initially describe the type-B analogue of ten
set partition statistics over , which were defined by Steingrímsson over in case of standard and ordered both
type of set partitions. We found the generating functions of the type B
analogue of some of the set partition statistics defined over which were defined by
Steingrímsson over , for any
specified number of blocks in
terms of -Stirling numbers of the
second kind. Stirling numbers of both kinds have been extensively
studied in combinatorics and have interesting applications in algebra
and geometry. There are two versions of q-Stirling numbers of second
kind, where one is
times the other, as in [7]. Here we work on the version without the
as in [6]. -Stirling numbers in type B have
appeared sporadically in the literature over the last several decades.
In [6] Sagan and
Swanson worked on various statistics over signed or type B partition
using type B -Stirling numbers of
second kind. Haglund, Rhoades, and Shimozono [1] showed that there is a connection between
ordered set partitions, generalized coinvariant algebras, and the Delta
Conjecture. In related work, Zabrocki [8] conjectured that the tri-graded Hilbert
series of the type A super coinvariant algebra has coefficients which
are the ordered -Stirling number
of the second kind. Swanson and Wallach [4] made a corresponding conjecture in type
B. This led them to conjecture that an alternating sum involving these
ordered Stirling numbers equals one. Sagan and Swanson proved that
conjecture in [6].
There is a bijection between the set partitions of in standard form and restricted
growth functions (RGF). Wachs and White defined four fundamental
statistics on those RGFs. We give some type B analogues of some
statistics on set partitions studied by Wachs-White in [9] and Steingrímsson in
[7]. This is done
through a type B analogue of restricted growth functions in [9]. We defined an analogue
of restricted growth function in case of type B set partitions of and we called it as
Signed Restricted Growth Function (SRGF). We found a similar kind of
bijection between set partitions of and SRGF. Recently, Bagno-Garber gave an analogue of
restricted growth functions in [2] (Definition 4.11) for signed permutations
with a specific number of cycles which are counted by signed Stirling
numbers of the first kind. In addition, Bagno, Garber and Komatsu gave
an analogue of Restricted growth words for type B in [2] with respect to certain
ordering on in
section 2.3 Definition 2.7, which has overlap with our SRGF. In [7] Steingrímsson defined
ten set partition statistics over the set partitions of . Four of these were already defined
by Wachs and White as above in case of standard set partitions, and
their treatment was in terms of restricted growth functions, a different
way of representing partitions in standard form only. Another four
statistics are mirror images of the aforementioned ones. The last two
statistics, essentially defined by Foata and Zeilberger for
permutations, are in fact each equal to the difference of two of the
first eight statistics. In [5] Sagan has shown that the Foata bijection
interchanging inversion and major index for permutations also has a
version for partitions of . In
section 3, we discussed an analogue of Foata bijection
and using SRGF we have shown that is interchanging the inversion and
major index for type B partitions over . In [5] Sagan has given an
interpretation of major index for set partitions of using reduced matrices. We give an
analogue of such matrices for type B set partitions and have shown that
the analogue of reduced matrix is preserving the major index as done by
Sagan for set partitions of .
Utilizing the idea of two inversion vectors for RGF as done in [5], we give eight vectors
for SRGF corresponding to the type B analogue of Steingrímsson
statistics.
2. Preliminary
Definition 2.1. [3] A restricted
growth function (RGF) is a sequence of positive integers subject to the
restrictions
1. .
2. For , .
In [3] a partition
of is written as
where the subsets are called
blocks. We use the notation . In order to connect set
partitions with the statistics of Wachs and White, they are converted
into restricted growth functions as in [3] and that requires the elements of in standard form.
Definition 2.2. We say is in standard form if min min . Thus it follows that min .
We assume all partitions in are written in the standard form.
Associate with the
word
where if and only if . For example Let, be the set of all words in
with exactly many blocks. is an RGF of length . Let, is an RGF of length
with maximal letter .
The four statistics of Wachs and White are denoted as and where ‘‘l’’stands for ‘‘left’’,
‘‘r’’stands for ‘‘right’’, ‘‘b’’stands for ‘‘bigger’’, and ‘‘s’’stands
for ‘‘smaller’’. The left-bigger statistic is described and the other
three should become clear by analogy. Given a word define and . It is important to
note that, the cardinality of a set is taken, so if there are multiple
copies of such an integer then it is only counted once. Also, clearly
depends on the word
containing , not just itself. By way of example, if , then . Define .
Continuing the above example, . To simplify notation, is taken instead of more
cumbersome .
Accordingly, are defined.
Now let, be the set of
all ordered partitions of (that
means the set partitions are not necessarily in standard form). Let,
be the set of all words
in with exactly blocks.
In order to define the ten statistics, Steingrímsson first defined
the openers and closers of the blocks for any . The opener of a
block is its least element and the closer is its greatest element.
Definition 2.3. Given a partition let open
and clos be the set of openers
and closers, respectively, of .
Let, block(i) be the number (counting from the left) of the block
containing the letter i. Eight coordinate statistics are defined as
follows:
The hash tags denote the cardinalities of the corresponding sets.
Moreover, let be the number
of blocks , to the right of the
block containing such that the
opener of is smaller than and the closer of is greater than (rsb is an abbreviation for right,
smaller, bigger). Also is
defined in an analogous way, with right replaced by left. Set
and likewise for the remaining
nine statistics, i.e. each of is defined to be the sum over all of the respective coordinate
statistics.
Defining (and similarly), we have
Theorem 2.4. [Steingrimsson 7] are
Euler-Mahonian on ordered partitions, that is, and the same for the other three
Statistics.
Where with (we drop the
from the suffix to make the notation simpler) and
is the -Stirling numbers of second kind which
can be described as in Lemma 1 in [7], .
3. Steingrímsson’s Statistics for type B partitions and some
generating functions in terms of -Stirling numbers
Definition 3.1. [6] The type B
Stirling numbers of the second kind are defined by the following
recurrence relation:
and
(Kronecker delta) The ordered version of
Definition 3.2. [6] The type B
-Stirling numbers of the second
kind are defined by replacing the above recurrence relation with The ordered version of is
where
ending at or depending on is even or odd respectively.
Definition 3.3. [Sagan and Swanson 6] A signed or type B partition is a partition of the set of the form , (We write )
satisfying
1. and if , then , and
2. for we have , where .
Let , so
that for .
For all we let . Let denote the set
of all type B partitions of with blocks
in standard form. We will always write signed partitions in standard
form which means that
3. for all
, and
4. .
Definition 3.4. [Sagan and Swanson 6] An inversion of written in Standard form is a pair satisfying
1. for some , and
2. .
Let Inv be set of
inversions of and inv .
Theorem 3.5. (Sagan and Swanson)[6]
Definition 3.6. An ordered signed partition of is a sequence satisfying the first two
conditions in the definition of signed or type B partition. Note that no
assumption is made about standard form. The set of such partitions with
blocks is denoted as . The definition of inversion remains
unchanged.
Theorem 3.7. ([Sagan and Swanson 6]) For
Note that defining inversion over an ordered signed partition of
in the above way, matches with
Steingrímsson’s ros, while the same is applied over any . For example consider
.
inv .
This is the motivation to define in this work nine more statistics
over any ordered signed partitions of , so that they matches
with Steingrímsson’s nine other statistics accordingly, while the same
is applied over any .
To do this, we can further define , like .
For any , noting that the negetive elements and
in the type B partition of does not contribute in
we define the
following:
Definition 3.8. 1. for some and
2. for some and
and
3. for some and
4. for some and
and
5. for some
and
6. for some
and and
7. for some
and
8. for some
and and
9. for some and
10. for some
and
As an example, consider the same above. Note that by the above
definition where as by
Steingrímsson’s corresponding to corresponding to
corresponding
to corresponding tocorresponding to .
Note in [7], given
a partition of , let be the partition obtained by
complementing each of the letters in , that is, by replacing the letter
by . Then it follows that and that . In order to have similar result for type B
partitions in , we define the complement of any
in the following way:
Definition 3.9. For any is obtained by replacing any positive
by , and by and keeping the same.
Then it follows that and that , as because each contributing in gives
contributing in and
conversely.
Although, as in [7]
where every right statistic is equidistributed with its corresponding
left statistic (since reversing the order of the blocks in an ordered
partition turns a left opener into a right opener and likewise for
closers), the exact same is not the case for type B partitions. We
have:
Theorem 3.10. where dropping
the condition in the
definition of .
Proof. We follow the idea of the proof of Theorem 4 in [7] and Theorem 3.7 in [6]. The proof follows by
induction on .
Base case. If , then
there are two possibilities about . . If =0, then and the only element of to consider is
which gives the result.
If , then . The only set partition to
consider is giving
as 2 and hence giving
the result.
Now suppose the result be true for some . Given we
can remove and to obtain a new partition .
If (and thus ) is in a singleton block then and there is only one
way to construct from . Furthermore, in this case
the standardization condition forces and in . It follows the .
So, by induction such
contributes .
If and are in a block with other elements,
then which induces many , namely
elements adding to previous and thus for any such with . Thus the contribution of
these are . Hence, we
are done. 
Proof. We follow the idea of the proof of Theorem 4 in [7] and Theorem 3.7 in [6] along with the above
theorem. The proof follows by induction on :
Base case. For
the result holds.
For the rest, we take the same approach as in the proof of the last
theorem. Given we can remove and to obtain a new partition .
If (and thus ) is in a singleton block then and now can stay in any block except adding respectively. Thus these
type of gives all
together by induction hypothesis
Now if and are in a block with other elements,
then and as in the end of the proof of the last theorem using
induction hypothesis these type of all together contributes .
Hence the result follows, as 
Lemma 3.12. Let be the set of standard
type B partitions on blocks
and be the set of ordered type
B partitions on blocks with
for all . Then there exists a
bijection between and . Additionally, we have that for all , where dropping
the condition in the
definition of .
Proof. Suppose that . As
is the cardinality of the set and for all , we know that implies
for some . Since is a standard type B partition, this
occurs exactly for the case where and for
. The only entry
of that satisfies is of course . Thus is an element of
for . Hence .
Now, suppose . As
, there is no
such that and for some . This implies that . Additionally, we know that for . Otherwise, we would
have as before. Thus is simply a standard type B partition
with every swapped with
. Hence, there is a
bijection between and . 
Corollary 3.13. The generating function of over the standard type B
partitions is given by
Additionally, the generating function of over the ordered type B
partitions satisfies the following
In particular,
Lemma 3.14. The statistics and are equidistributed over the
ordered type B set partitions. The statistics and are equidistributed over the
ordered type B set partitions.
Proof. The proof follows as and that , as because each contributing in gives
contributing in and
conversely. 
Lemma 3.15. Let be the function given by taking
the standardization of for
any . Then is a bijection
of with
.
Conjecture 3.16. We have that for all . This gives us that the generating function of
over the standard type B set
partitions is given by
Proof. Let be a part
of for some . Then
is the complement of for some that is a part of . This forces the complement of to be . Hence is a standard partition with the
same parts as . As was already a standard partition, we
have and that is a bijection. 
4. Signed restricted growth
functions
Definition 4.1. A Signed Restricted Growth Function is a sequence of the form
of length , where
1. ,
2. If , then and conversely ,
3. ,
4. The pair appears
before (if there is a
in the sequence) for any
.
Calling the set of all such SRGF of length 2n+1 as and accordingly for SRGF of length
2n+1 with maximal letter , we can
show analogously as in RGF that there is a bijection between the set of
all type B partitions of and , which
preserves the one to one correspondence between and . The bijection
is the following: Consider any type B partition of . Associate with , the word , where
1. ,
iff , for ,
2.
iff for ,
3.
iff for .
Note that for any type B partition of satisfies the
condition i. and ii. in the definition of SRGF. Due to standardization
of , satisfies condition
iii. and iv.
Example 4.2. For
For
the corresponding is
Question 4.3. Is there any way to find the generating functions of the type
B-analogue of the ten statistics due to Steingrímsson for set partitions
of in standard
form by using the correspondence with SRGF as in the approach in [3] or for some other known
statistics like (dual
major index) for set partitions of in standard form as in standard set partitions of
in [5]?
Question 4.4. What are the generating functions of the rest of the B-analogues of
Steingrímsson statistics for ordered set partitions of ?
In reference [5]
section 4, we observe that, if for a set partition , a positive integer contributes in
the descent set of , where
is the Foata bijection as
defined in [5], then
the number of it’s contribution is the number of it’s corresponding
occurrence in the inversion set of . For example, in [5] section 4, for the positive integer
contributes in the descent of , which is the number of it’s occurrence in
the inversion set of , namely as
. This observation
motivates us to define an analogue of Foata bijection for type B set
partitions in as follows:
This bijection is analogously
defined via induction on , as
is identity whenever . If , for , let with deleted. We construct from as
follows. If
1. , with and , (due to standardization
condition, the other way can’t happen), then let with and added in and in as singleton blocks
respectively.
2. If is strictly contained in
the block , then let with added in the block and added in the block .
3. If is in and if is in , then let , along with both
added in .
4. If or are contained in , where , then with or added in and respectively in a way so that
the mutual ordering is flipped.
5. If are in , then is added in and is added in .
So, we consider the following example where
Table 1 Table for the bijection F
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We note that inv =
maj = and inv = maj =. We have the following theorem as an
analogue of Theorem 4.1 in [5]:
Theorem 4.5. The map defined above is a
bijection where
1. inv = maj
2. inv = maj
As an analogue of Section 2 in [5], we define vector and vector for SRGF induced by type B set
partitions and denote them as respectively. We further extend the idea of major index
as in Section 2 in [5], via for any element in .
We define an vector for
SRGF as follows:
Definition 4.6. Let be an
SRGF. Then,
1. if or if for some .
2. If we have an occurrence of after nonzero digits, each contributes , where is the number of to it’s left, so that .
3. If appears after
, then the later contributes where is the number of distinct to the left of that , so that .
4. If has repeated
occurrences, the later
contributes , where is the number of distinct to the left of that , so that .
5. If we get to the
right of or , where , then contributes where is the number of to it’s left such that .
6. If we get to the
right of or , where , then contributes where is the number of to it’s left such that .
Example 4.7. Let
The corresponding SRGF is
The corresponding vector
is giving us the
statistics (as one of the
four fundamental statistics of Wachs and White) as the sum of the digits
in the vector as which is the
same as the inversion of .
Observing this we define the major index of any such SRGF analogously as in [5] as follows:
Definition 4.8. , (where is the digit of the corresponding -vector).
1. if .
2. , if .
3. , if .
4. , otherwise.
Example 4.9. By the above definition, we see that the above has maj as follows:
and we have the theorem as an analogue of Theorem 2.1(i) in [5]
Theorem 4.10. Let be the above bijection in between and . Then for any .
We define an analogue of ls vector for SRGF as follows:
Definition 4.11. If is an
SRGF, then
1. , if , or for some .
2. Each pair , , contributes and each pair contributes , if .
3. statistics is the sum
of the digits in the
vector.
4. Adding the digits of , we get always.
Example 4.12. If we consider again ,
then the vector is
If we add the digits we get
which is same as the .
Definition 4.13. We define a bijection between and , where , is the set of
all row echelon form
matrices where
1. Every entry is either , or
, or and the first entry in the first row is
always as, and we choose keeping the
in the column prior to that
of .
2. After that, in the first row and appear as a pair (since in positive and the corresponding
negetive integer appears as a pair) always is placed as a pair in
consequtive columns.
3. There is at least one or
one in each row and exactly
one or one in each column.
4. Excluding the first row and first column, if we have (or ) in the row and column , then we have (or in the row or and in column
or in and
conversely.
5. Due to the standardization condition, always a pair in two consecutive rows and
columns respectively appear in some prior columns before the pair , if the second pair belong to
two same consecutive rows as in the prior .
6. In any column , the
leading non zero element is , if
the row is odd and the leading
non zero element is , if the
row is even (as always).
Next we define an analogue of six more vectors in case of SRGF
corresponding the type B analogues of six more statistics defined by
Steingrímsson as follows. Consider the SRGF
Definition 4.14. An analogue for rcb vector in case of SRGF is as follows:
1. Because of the condition , in the definition of , we set , and for any .
2. If we have an occurrence of after the first in the SRGF, each contributes , where is the number of to it’s right, so that .
3. For any ,
, where is the number of to the right of , so that .
4. For any afterwards,
we set where is as before.
Example 4.15. If ,
then the vector is . If we add the
digits we get which is same as
the .
Definition 4.16. An analogue for lcb vector in case of SRGF as follows:
1. Define , if
or negetive.
2. If , then that
does contribute , for each pair of zeros to it’s right
and if we have a pair and
no smaller positive element to it’s right, then that contributes .
3. Any pair , the , gives for each pair and/or to it’s right for each . Additionally, , gives for itself in that case.
4. Any pair, , the gives , where is the number of to it’s right .
Example 4.17. If ,
then the vector is . If we add the digits
we get which is same as the .
Definition 4.18. An analogue for vector
in case of SRGF as follows:
1. Define , if
or if is negetive.
2. If we have a pair , then we
consider the first gives and the second one gives , where is the number of distinct to the right of that , that does not appear to the left of
that .
3. If there is a pair
or , then the gives , where is the number of distinct to the right of , that are not to the left of that .
Example 4.19. If ,
then the vector is . If we add the digits
we get which is same as the
statistics of that type
partition.
Definition 4.20. An analogue for lob vector in case of SRGF as follows:
1. If or negetive, then
. Otherwise, for
the first occurrence of , the gives .
2. If there is any or
repeated for the same
, that does not contribute
anything.
Example 4.21. If ,
then the vector is and if we add the
digits, then we get which is the
same as the statistics for
that .
Definition 4.22. An analogue for rcs vector in case of SRGF is as follows:
1. We define ,
if or negetive.
2. The first occurrence of does not contribute
anything.
3. If repeats after
, then the , gives , where is the number of pairs and/or to the left of with and is the number of pairs and/or to the left of with .
4. If , after the appears, then the gives , where are as before.
Example 4.23. If ,
then the vector is .
Definition 4.24. An analogue for lcs vector in case of SRGF as follows:
1. , if or negetive. The pair does not contribute anything. If
we have repeated occurrence of , the right most contributes provided there is no to it’s right, otherwise that
contributes .
2. Consider any . Then contributes
, where is the number of distinct to the left of , that are not to the right of , such that , provided there is no to the right of that again.
3. If is like above, then
it contributes , where is as above, provided there is some
(possibly more than ) to the right of that .
4. Consider any . Then, that
contributes , where is as above.
Example 4.25. Thus for example if ,
then the vector is , adding the digits we
get which is the statistics for the partition
.
As in [5] we can
create an analogous bijection as follows , where , with
1. (as ),
2. ,
if ,
3. For if and , if
.
Now if we define the major index of such a matrix as , where the sum is restricted to those ’s which have another , strictly to their south-west (as in
[5]) then we have the
following theorem as an analogue of Theorem 3.3 (i) as follows:
Theorem 4.26. For the above bijection , and
for any
For example for our is a matrix as
follows:
Let us define the dual descent multiset analogously as in [5] in case of type B
partitions.
Definition 4.27. For any the dual descent set of is denoted as and is defined as the
multiset , where is the number of such that .
Accordingly, we define the natural analogue of dual major index for
any type B partition as .
Afterwards, we find a reccurrence relation for the generating
function of the dual major index for type B partitions as follows:
Theorem 4.28. ,
where is the
generating function of .
Question 4.29. Does the analogous result follow for dual major index for the set of
standard type B partitions as in [5]?
Question 4.30. Is there any way to define analogue of index for standardized type B
partitions, and finding the corresponding generating functions as in
[5] ?
Question 4.31. Is there any analogue of -Stirling number (first introduced by
Wachs and White) of second kind for type B partitions and a way to find
the generating function of the corresponding joint distributions as in
[5]?
Acknowledgment
Author thanks to Bruce Sagan for introducing this area to work on and
for providing several suggestions, multiple advice and helpful
discussions on this topic via many communications. Author thanks to
Jordan O Tirrell towards providing valuable suggestions in order to
write this paper. Author thanks to Tucker Ervin for providing many great
discussions, further ideas, checking the work for corrections, extending
helpful advice through several communications. Author thanks to David
Gajewski for helping in LaTeX. This work is partially supported via
travel grants from NSF and NSA to travel in conferences in Pattern in
Permutations.