Hyperplanes in Configurations, decompositions, and Pascal Triangle of Configurations
Krzysztof Pra\.zmowski

TL;DR
This paper explores hyperplanes in specific configuration classes, revealing a Pascal-like decomposition process, and introduces new classes of configurations with potential for further research.
Contribution
It demonstrates that certain configuration decompositions are due to fixed hyperplanes within classes, extending previous work with new examples and open questions.
Findings
Identifies hyperplanes that induce configuration decompositions
Introduces two new natural classes of configurations
Proposes open questions for future research
Abstract
An elegant procedure which characterizes a decomposition of some class of binomial configurations into two other, resembling a definition of Pascal's Triangle, was given in \cite{gevay}. In essence, this construction was already presented in \cite{perspect}. We show that such a procedure is a result of fixing in configurations in some class suitable hyperplanes which both: are in this class, and deleting such a hyperplane results in a configuration in this class. By a way of example we show two more (added to that of \cite{gevay}) natural classes of such configurations, discuss some other, and propose some open questions that seem also natural in this context.
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Taxonomy
Topicsgraph theory and CDMA systems · Coding theory and cryptography · Finite Group Theory Research
Hyperplanes in Configurations, decompositions, and Pascal Triangle of Configurations
Krzysztof Prażmowski
Abstract
An elegant procedure which characterizes a decomposition of some class of binomial configurations into two other, resembling a definition of Pascal’s Triangle, was given in [4]. In essence, this construction was already presented in [10]. We show that such a procedure is a result of fixing in configurations in some class suitable hyperplanes which both: are in this class, and deleting such a hyperplane results in a configuration in this class. By a way of example we show two more (added to that of [4]) natural classes of such configurations, discuss some other, and propose some open questions that seem also natural in this context.
Mathematics Subject Classification: 05B30, 51E30 (51E20)
Keywords: Pascal Triangle (of binomials), binomial, configuration, hyperplane, combinatorial Grassmannian, combinatorial Veronesian, Pascal Triangle of Configurations
Introduction
On one hand, “Pascal Triangle” is a term which is known to all mathematicians: it characterizes an arrangement of binomial coefficients in a form of a ‘pyramid’ such that each item is the sum of items placed immediately above it. In another view: the sum of each neighbour items in a row equals to the item which is their common neighbour (in the row below). Clearly, binomial coefficients are simply values of a two-argument function defined on nonnegative integers (, ) and nothing ‘magic’ is in the pyramid defined above. It is a visual presentation of recursive equation which these coefficients satisfy. Clearly, the sequences of boundary values and uniquely determine then the function . Nevertheless the recurrence in question is extremely simple…
Quite recently, Gabor Gévay in [4] noted that there is family of point-line configurations which can be arranged in such a pyramid, with a suitably defined “sum” of the configurations in question. Or: each (nontrivial, non-boundary) configuration in this family can be decomposed into two other members of this family. In essence, this decomposition (even in a more general form) was presented also earlier in [10, Representation 2.12]; the class in question consists of configurations which generalize Desargues configuration considered as schemes of mutual perspectives between several simplexes. On other hand, such systems of (geometrical) perspectives can be found even in the classical book of Veblen and Young [15] (Gévay quotes also explicitly Danzer and Cayley) and its combinatorial schemes are special instances of so called binomial graphs, investigated in the context of association schemes (cf. e.g. [5]), and associated incidence structures. Combinatorial schemes characterizing these configurations can be found already in [6] and [3]. So:
the subject was known, but its regular nature was not known – was not stated explicitly until [4].
But then it appeared that the “sum” of two configurations is not a well defined operation that depends solely on the summands, and the associated decomposition is, in fact, associated with a choice of a hyperplane in the decomposed configuration. After that become clear (we present these observation in Section 2, Theorem 2.1 and equation (9)) there appeared that there are other natural known classes of configurations that can be arranged into respective triangles. These are, in particular, so called combinatorial Veronesians (defined originally in [11], without any connections with studying hyperplanes in configurations). In Section 3 we discuss some of the classes which appear within this theory.
1 Notations, standard constructions
1.1 Elementary combinatorics
There are well known formulas concerning binomial coefficients, frequently referred to as “Pascal Triangle of Binomials”. To be more precise, these formulas correspond to the arrangement of the binomial coefficients in a pyramid with consecutive rows:
\Big{(}\left(\binom{n}{k}\colon k=0,\ldots,n\right)\colon n=0,1,2,\ldots\Big{)}.
Then the corresponding recursive formula is the following
[TABLE]
equation (1) yields immediately next two:
[TABLE]
For purposes of our next investigations it will be more convenient to arrange binomial coefficients into a (infinite) matrix:
\big{[}{\sf B}({m},{k})\colon m,k=0,1,\ldots\big{]},
where
[TABLE]
clearly, ; the fundamental recursive formula for the binomial coefficients takes the form
[TABLE]
1.2 Rudiments of geometry of configurations
We say that a structure with is a -configuration if is a partial linear space (i.e. yields or ) such that , , exactly elements of are in the relation with , for each , and exactly elements of are in the relation with , for each .
Let be a configuration as above, then the following equation (a specialized form of the so called fundament equation of partial linear spaces) holds
[TABLE]
The elements of are called points of , the elements of are called lines of , and the relation is the incidence. The numbers and are referred to as point rank and line size/rank resp. It is a folklore, that every configuration as above with is isomorphic to a configuration, whose lines are sets of points, and the incidence is the standard membership relation . If this will not cause a confusion (as it may happen in particular examples) we shall frequently assume that the incidence of is the membership relation.
A subset of the set of points of is called a hyperplane of when
- –
is a subspace of , i.e. if the conditions and , yield for every such that ,
- and
- –
each line of crosses , i.e. for each there is such that .
Let be a hyperplane of . Then, for each line of either there is a unique with (we write in that case) or every point incident with belongs to : the set of such lines will be denoted by . Clearly,
{\mathfrak{K}}\restriction{\cal H}:={\langle{\cal H},{\cal L}[{\cal H}],\mathrel{\rule{3.0pt}{0.0pt}\rule{1.0pt}{9.0pt}\rule{3.0pt}{0.0pt}}\cap\big{(}{\cal H}\times{\cal L}[{\cal H}]\big{)}\rangle}
is a partial linear space; quite frequently in the sequel we shall make no distinction between and . Clearly, the set of all the points of is a hyperplane of . In what follows we shall assume that a hyperplane means a proper (i.e. ) subspace that satisfies suitable conditions.
Given a hyperplane of we define the reduct
{\mathfrak{K}}\setminus{\cal H}:={\langle U\setminus{\cal H},\,{\cal L}\setminus{\cal L}[{\cal H}],\,\mathrel{\rule{3.0pt}{0.0pt}\rule{1.0pt}{9.0pt}\rule{3.0pt}{0.0pt}}\cap\big{(}(U\setminus{\cal H})\times({\cal L}\setminus{\cal L}[{\cal H}])\big{)}\rangle};
if then is a partial linear space with all the lines of size (rank) . Let us write, for symmetry, and . Recall, that we have a function from the lines of into the points of . Let us try to “reverse” this decomposition:
Construction 1.1**.**
Let be a partial linear space for . Assume that . Let be a map such that the following holds
if and then .
We define
,
,
.
Finally, we set
[TABLE]
It is evident that * is a partial linear space*.
Proposition 1.2**.**
Let with as in 1.1. Then is a hyperplane in and .
Proof.
It suffices to state directly that if then either and then gives , or and then yields or . ∎
The construction of the type 1.1 is quite frequent in geometry. One particular case let us mention below:
Note 1.3**.**
Let be a partial linear space with parallelism of lines; we write for the equivalence class of w.r.t. the relation (i.e. simply for the direction of ). Suppose that there is a formula in the language of such that the relation
is a ternary equivalence relation on the set \big{(}{\cal L}_{1}\diagup\parallel_{1}\big{)}^{3} (cf. [14]); let be the set of its equivalence classes, and . With for we obtain the structure which is called, in that context, the closure of an affine structure .
In particular cases of this construction, practically, the structures and are given, and we search for an appropriate formula (see [1]: affine completion, [2], [7]).
Other examples of this construction will appear in the next Section.
1.3 Dualization
Let be an incidence structure; we call the structure
the dual of . It is evident that is a partial linear space whenever is so. In particular
if is a -configuration then is a -configuration.
Proposition 1.4**.**
Let be a hyperplane of a partial linear space such that the induced correspondence is bijective. Then is a hyperplane of .
Proof.
Let . Assume that and . Suppose that , then and, consequently, . This gives ; we have then. This proves that is a subspace of .
Let be an arbitrary line of , then . If then each line of (each point of ) that passes through is in . If then . This suffices for the proof. ∎
Standard examples show that the condition * is bijective* assumed in 1.4 cannot be removed. Indeed, the plane in a projective 3-space is a hyperplane, but the family of lines of the resulting affine 3-space is not even a subspace of . However, 1.4 appears useful when we deal with (binomial) configurations. Proposition 1.4 can be easily (re)formulated in a more ‘constructive’ fashion:
Corollary 1.5**.**
Let be configurations as in 1.1 with a suitable map defined. Assume that is a bijection and . Then
[TABLE]
2 Binomial configurations
2.1 Generalities
The main subject of this section consists in investigations on the family of binomial configurations i.e. of configurations of the type for some positive integers . It is easily seen that each parameters of this form satisfy (6). Let us write
for the class of all -configurations.
Theorem 2.1**.**
Let and let be a hyperplane of . Assume that
- (i)
* is a configuration (in this case this means simply that has constant point rank), and*
- (ii)
* is a binomial configuration.*
Then
- (iii)
* is a binomial configuration, more precisely: ;*
- (iv)
;
- (v)
there is a 1-1 correspondence such that .
Proof.
Recall that, right from the definition, the points of have rank , and the lines of have size . Set .
Then, from the definition we get immediately that the points of are all of the same rank and the lines are all of the size , so, in accordance with (ii), is a -configuration, which justifies (iv). The number of points in is and the number of points of is ; from the Pascalian equations the number of points of is . Similarly we compute the number of lines of : it equals to . The size of the lines in is ; from assumption (i) and (6) applied to we get that the point rank in equals to . So, is a -configuration. This justifies (iii). Finally, since each point in has its rank on one less than in we get that through each one of these points there passes exactly one line of , so is a bijection, as required in (v). ∎
Informally speaking, 2.1 gives a decomposition
[TABLE]
which resembles reverent Pascalian equation (5). But note, that the “operation” is not commutative, and it depends essentially on the parameter .
Remark 2.2**.**
Not every hyperplane of a binomial configuration is a (binomial) configuration. Indeed, it suffices to have a look on hyperplanes in binomial partial Steiner triple systems, either in a more general approach of [8] or in a more particular case of [13] and note that in the Desargues configuration a line accomplished with a point not joinable with any point on this line is a hyperplane, it contains three points of rank and one point of rank [math] so, it is not a configuration.
Remark 2.3**.**
Let us consider the smallest sensible and possible case: . If then is a -configuration: one of ten possible. If is a -configuration then it is the complete graph . If is a -configuration then it is simply the Pasch-Veblen configuration . It was shown in [9] that there are exactly six maps which yield pair wise non isomorphic configurations . So, there are binomial configurations and bijections such that . Consequently, the symbol is not a well defined operation, without the argument defined explicitly.
Remark 2.4**.**
Let be binomial configurations, let a map be a bijection.
From assumption, for some integers , . Moreover, the two numbers: of lines of and of points of coincide. This means than . Then and one of the following holds:
- (i)
either – in this case and * is a binomial configuration*,
- (ii)
or and then . Consider e.g. the case , then are -configurations. But then has points and lines. Ten lines have size , and ten have size . So, in this case * is not even a configuration.*
This shows that a ‘sum’ of two binomial configurations, even determined by constructing ‘improper points’, may be not a binomial configuration.
In the next Section we present two remarkable families of binomial configurations which yield families indexed by positive integers and which yield “a Pascal Triangle”.
3 Examples
3.1 Example: the family of combinatorial Grassmannians
For an integer and a set we write \raise 2.15277pt\hbox{\wp}_{k}(X) for the family of -subsets of . Nowadays the notation instead of \raise 2.15277pt\hbox{\wp}_{k}(X) becomes widely used. We prefer, however, not to mix integers and sets.
Let ; then the points of can be identified with the -subsets of a fixed -element set , where . Let us identify the lines of with the elements of \raise 2.15277pt\hbox{\wp}_{m}(X) and define
[TABLE]
Suppose that and with defined by (10). Then and therefore is uniquely determined by its two points and . So, the structure
{\mathfrak{G}}(k,m):={\langle\raise 2.15277pt\hbox{\wp}_{k}(X),\raise 2.15277pt\hbox{\wp}_{m}(X),\mathrel{\rule{3.0pt}{0.0pt}\rule{1.0pt}{9.0pt}\rule{3.0pt}{0.0pt}}\rangle}
is a partial linear space. It is not too hard to verify that it is a configuration with the lines of size and the points of rank , so .
In practice, the above presentation is not so easy to handle with and not too intuitive.
- (i)
There is a one-to-one correspondence between the elements of \raise 2.15277pt\hbox{\wp}_{m}(X) and the elements of \raise 2.15277pt\hbox{\wp}_{k-1}(X): indeed, so, the boolean complementation is a bijection in question. Then we see that the pair of maps maps onto the structure {\langle\raise 2.15277pt\hbox{\wp}_{k}(X),\raise 2.15277pt\hbox{\wp}_{k-1}(X),\supset\rangle}, which coincides with the introduced in [4].
- (ii)
Analogously, there is a one-to-one correspondence between the elements of \raise 2.15277pt\hbox{\wp}_{m-1}(X) and the elements of \raise 2.15277pt\hbox{\wp}_{k}(X); set , then maps onto the structure {\langle\raise 2.15277pt\hbox{\wp}_{k_{0}}(X),\raise 2.15277pt\hbox{\wp}_{k_{0}+1}(X),\subset\rangle}, which coincides with the combinatorial Grassmannian defined in [10].
Let us concentrate upon the presentation given in [10], let us drop out the superfluous index [math] and let , ; remember that . We write for the type of where .
Let us fix an element , then \raise 2.15277pt\hbox{\wp}_{k}(X) is the disjoint union \raise 2.15277pt\hbox{\wp}_{k}(X)={\cal X}_{1}\cup{\cal X}_{2}, where {\cal X}_{1}=\{a\in\raise 2.15277pt\hbox{\wp}_{k}(X)\colon i\in a\} and {\cal X}_{2}=\{a\in\raise 2.15277pt\hbox{\wp}_{k}(x)\colon i\notin a\}=\raise 2.15277pt\hbox{\wp}_{k}(X\setminus\{i\}). The following is easily seen:
- (i)
is a hyperplane of ,
- (ii)
, with the point-set , is isomorphic under the map {\cal X}_{1}\ni a\longmapsto a\setminus\{i\}\in\raise 2.15277pt\hbox{\wp}_{k-1}(X\setminus\{i\}) to the structure .
- (iii)
Let be a line of , so A\in\raise 2.15277pt\hbox{\wp}_{k+1}(X) where . Then A\setminus\{i\}\in\raise 2.15277pt\hbox{\wp}_{k}(A)\cap{\cal X}_{2}, so .
In view of the above and 2.1 we get that
Proposition 3.1**.**
If is arbitrary then
[TABLE]
with defined by (iii) above.
In numerical symbols we can write:
[TABLE]
This decomposition was studied in many details in [4], it was also noticed in [10, Representation 2.12]. While expressed in terms of it assumes the form
[TABLE]
where , .
3.2 Example: the family of combinatorial Veronesians
Let be an -element set; we write \mbox{\large\mathfrak{y}}_{k}(X) for the -element multisets with the elements in . In naive words, a multiset is a ‘set’ whose elements belong to , and each one of them can occur several times. Formally, it is a function defined on with values in the set of natural numbers (with zero); this function ‘counts’ how many times given item from occurs in . It is a convenient way to symbolize such a function in the form (with the natural relations like , , , , etc…). Then the cardinality of is . We write ; clearly,
Let us write \bigcup_{i=0}^{i=k-1}\mbox{\large\mathfrak{y}}_{i}(X)=:\mbox{\large\mathfrak{y}}_{<k}(X). On the set \mbox{\large\mathfrak{y}}_{k}(X)\times\mbox{\large\mathfrak{y}}_{<k}(X) we define the incidence relation by the formula:
[TABLE]
The structure
{\bf V}_{{k}}({m})={\langle\mbox{\large\mathfrak{y}}_{k}(X),\mbox{\large\mathfrak{y}}_{<k}(X),\mathrel{\rule{3.0pt}{0.0pt}\rule{1.0pt}{9.0pt}\rule{3.0pt}{0.0pt}}\rangle}
is called a combinatorial Veronesian; the class of combinatorial Veronesians was introduced in [11]. It was proved that is a partial linear space with the points of rank and the lines of size ; the formulas counting the cardinality of \mbox{\large\mathfrak{y}}_{k}(X) and of \mbox{\large\mathfrak{y}}_{<k}(X) are known in the elementary combinatorics; summing up we get that .
Let us fix and define {\cal X}_{2}=\{f\in\mbox{\large\mathfrak{y}}_{k}(X)\colon a\in{\mathrm{supp}}(f)\} and {\cal X}_{1}=\{f\in\mbox{\large\mathfrak{y}}_{k}(X)\colon a\notin{\mathrm{supp}}(f)\}; then \mbox{\large\mathfrak{y}}_{k}(X) is the disjoint union .
- (i)
It is seen that the map \mbox{\large\mathfrak{y}}_{k-1}(X)\ni f\longmapsto f\,a^{1}\in{\cal X}_{2} is a bijection. Suppose that where e\in\mbox{\large\mathfrak{y}}_{<k}(X). Then and f^{\prime},f^{\prime\prime}\mathrel{\rule{3.0pt}{0.0pt}\rule{1.0pt}{9.0pt}\rule{3.0pt}{0.0pt}}\frac{e}{a}\in\mbox{\large\mathfrak{y}}_{<k-1}(X). Finally, for every with , which yields that is a subspace of ; as we noted, it is isomorphic to .
- (ii)
Let e\in\mbox{\large\mathfrak{y}}_{<k}(X) be a line of . If then for every with . If then is the unique element incident with which belongs to .
- (iii)
Evidently, the points in can be considered as the points of . Let e\in\mbox{\large\mathfrak{y}}_{<k}(X\setminus\{a\}) be a line of ; then is well defined.
- (iv)
In particular, the above yields that is a hyperplane of .
Summing up, we obtain
Proposition 3.2**.**
Let be arbitrary.
[TABLE]
where is defined by (iii) above.
In (numerical) symbols we can express this fact by
[TABLE]
As a consequence of [11, Cor. 4.8, Thm. 4.5], is a combinatorial Grassmannian only for or so, Grassmannians and Veronesians are essentially distinct families.
3.3 Example: the family of dual combinatorial Veronesians
In Subsections 3.1 and 3.2, we have found decompositions of the scheme . Clearly, are dual to ; therefore, in view of 1.5 one can expect that each of these decompositions determines a decomposition of the scheme
In case of combinatorial Grassmannians the dualization procedure does not yield any new family of configurations:
Fact 3.3**.**
Let for a set . Then .
However, the dual Veronesians yield another, third family: if is (isomorphic to) a combinatorial Grassmannian then either or ; if it is isomorphic to a combinatorial Veronesian then , or , or . Even is not valid for (see [11, Thm.’s 4.14, 4.15])!
Let us adopt notation of Subsection 3.2 and let ; let us remind that {\cal X}_{2}=\{f\in\mbox{\large\mathfrak{y}}_{k}(X)\colon a\in{\mathrm{supp}}(f)\} is a hyperplane of and then {\cal L}[{{\cal X}_{2}}]=\{e\in\mbox{\large\mathfrak{y}}_{<k}(X)\colon a\in{\mathrm{supp}}(e)\}=:{\cal L}_{2}. Consequently, {\cal L}_{1}:={\cal L}\setminus{\cal L}_{2}=\mbox{\large\mathfrak{y}}_{<k}(X\setminus\{a\}) is a hyperplane of ; set {\cal X}_{1}:=U\setminus{\cal X}_{2}=\mbox{\large\mathfrak{y}}_{k}(X\setminus\{a\}). Consider a line f\in\mbox{\large\mathfrak{y}}_{k}(X) of ; then : let be the greatest integer such that for a multiset . We associate with such an the point , it is seen that we obtain
Proposition 3.4**.**
.
With the symbols we arrive to
[TABLE]
Consequently, following 1.5 we can explicitly characterize the Pascal Triangle of Configurations consisting of dual combinatorial Veronesians.
4 Comments and problems
We have shown three families of configurations such that the formula is valid for all and suitable maps . One can expect that there are more such families: the point is to find a suitable family
\big{[}\infty_{m,k}\colon\raise 2.15277pt\hbox{\wp}_{m-1}(m+k-2)\longrightarrow\raise 2.15277pt\hbox{\wp}_{k-1}(m+k-2)\colon m,k=1,2,\ldots\big{]}
It is seen how huge variety of binomial partial triple systems can be obtained via ‘completing’ complete graphs (see [8]): one can expect that our procedure produces much more required configurations (cf. Problem 4.1).
However, one essential question appears: which of them can be realized in a Desarguesian projective space: we call them projective then. It is known that all the combinatorial Grassmannians are projective. It is also known that (practically all) combinatorial Veronesians are not projective (only and , are realizable). Similarly, dual of combinatorial Veronesians are also not projective (besides the exceptions indicated before), [11, Thm.’s 6.9, 6.10].
The statement like if and are realizable then , if it is a (binomial) configuration then is realizable as well is false, in general. It suffices to present as the “sum” of projectively realizable structures and . So, a natural question arises
Problem 4.1**.**
Assume that and are projective (binomial) configurations which satisfy corresponding ‘recursive equation’
[TABLE]
Then there is a bijection so as . This observation enables us to construct ‘Pascal Triangle of Configurations’ from, practically, arbitrary boundary sequences of configurations, considering arbitrary ’s.
For which maps (is there necessarily at least one) the structure is projective?
Note that “boundary” sequences and are known: and , and these two sequences consist of projective configurations.
So, considering configurations decomposed with the following schemes
, .
the real problem lies in the classification/choice of bijections !
In particular, there are known binomial partial Steiner triple systems not in the families nor among , and nor among which are projective, for example, so called quasi-Grassmannians of [12]. Each such structure has parameters as the corresponding . So, there arises a very particular, but intriguing
Problem 4.2**.**
Is there a map such that the structure (which has the parameters of ) is realizable in a Desarguesian projective space.
Addendum
The paper is a result of discussions during Combinatorics 2018 in Arco.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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