Combinations without specified separations
Abstract
We consider the restricted subsets of with being the largest member of the set of disallowed differences between subset elements. We obtain new results on various classes of problem involving such combinations lacking specified separations. In particular, we find recursion relations for the number of -subsets for any when . The results are obtained, in a quick and intuitive manner, as a consequence of a bijection we give between such subsets and the restricted-overlap tilings of an -board (a linear array of square cells of unit width) with squares ( tiles) and combs. A -comb is composed of sub-tiles known as teeth. The -th tooth in the comb has width and is separated from the -th tooth by a gap of width . Here we only consider combs with . When performing a restricted-overlap tiling of a board with such combs and squares, the leftmost cell of a tile must be placed in an empty cell whereas the remaining cells in the tile are permitted to overlap other non-leftmost filled cells of tiles already on the board.
keywords:
restricted combination , combinatorial proof , tiling , directed pseudograph , well-based sequenceMSC:
[2010]Primary 05A15; Secondary 05A19, 05B451 Introduction
The problem of enumerating combinations with disallowed separations is as follows. We wish to find the number of subsets of satisfying the condition where is any pair of elements in the subset and is a given nonempty subset of . We also wish to find the number of such subsets of that are of size . For it is well known that where is the -th Fibonacci number defined by with , where is 1 if and 0 otherwise, and [12]. The quantity is also the number of ways of tiling an -board (i.e., an board of unit square cells) using unit squares and dominoes ( tiles) [6]. This correspondence can be regarded as a result of the bijection given in [3], generalized in [1], and that we will extend to the most general case here. It also appears to be well known that if then with . Expressions for the number of combinations when , for , and for are derived in [14], [19, 16, 15], and [17, 1], respectively.
also has links with graph theory. A path scheme is an undirected graph with vertex set and edge set [13]. A subset of is said to be an independent set (or a stable set) if no two elements of are adjacent. The number of independent sets of path scheme of size is then clearly (and the total number is ). The elements for of set are said to form a well-based sequence if, when ordered so that for all , then and for all and , there is some such that [21, 13]. Equivalently, the sequence of elements of , the largest of which is , is well based if is zero or if for all (where and can be equal), where the are the elements of . E.g., the only well-based sequences of length 3 are the elements of the sets , , , and . By considering , Kitaev obtained an expression for the generating function of when the elements of are a well-based sequence [13]. We will show the result via combinatorial proof and also obtain a recursion relation for .
We define a -comb as a linear array of sub-tiles (which we refer to as teeth) of dimensions separated by gaps of width . The length of a comb is . When the teeth are all of width and the gaps are all of width , it is referred to as a -comb [4]; such combs can be used to give a combinatorial interpretation of products of integer powers of two consecutive generalized Fibonacci numbers [5]. Evidently, a -comb (or -comb) is just a -omino (and a -comb is an -omino). A -comb is also known as a -fence. The fence was introduced in [7] to obtain a combinatorial interpretation of the tribonacci numbers as the number of tilings of an -board using just two types of tiles, namely, squares and -fences. -fences have also been used to obtain results on strongly restricted permutations [8].
In this paper, we start in §2 by giving the bijection between combinations with disallowed separations and the restricted-overlap tilings of boards with squares and combs. Counting these types of tilings requires knowledge of all permissible minimal gapless configurations of square-filled and/or restricted overlapping combs known as metatiles which are introduced in §3. In §4 we derive results from which recursion relations for (or ) for various classes of the set of disallowed differences can be obtained.
2 The bijection between combinations with disallowed separations and restricted-overlap tilings with squares and combs
In order to formulate the bijection we first introduce the concept of the restricted-overlap tiling of an -board. In this type of tiling, any cell but the leftmost cell of a tile is permitted to overlap any non-leftmost cell of another tile. The , , and metatiles in Figure 1 are examples where such overlap occurs (note that in that figure and in Figure 3, for clarity, some of the overlapping tiles are shown displaced downwards a little from their final position). It is readily seen that when tiling an -board, only tiles with gaps can overlap in this sense and so restricted-overlap tiling of -boards with just squares and other -ominoes is the same as ordinary tiling.
Let be the largest element in the set of disallowed differences. The comb corresponding to is of length , has cells numbered from 0 to , and is constructed as follows. By definition, cells 0 and are filled (as they are the end teeth or parts of them). For the cells in between, cell (for ) is filled if and only if . For example, corresponds to a -comb. One could also regard it as a -comb but for simplicity we insist that all teeth and gaps in a comb corresponding to are of positive width. This ensures that there is only one comb that corresponds to a given .
Theorem 1
There is a bijection between the -subsets of each pair of elements of which satisfy and the restricted overlap-tilings of an -board using squares and combs corresponding to as described above.
Proof: The -board associated with a subset satisfying the conditions regarding disallowed differences has cells numbered from 1 to . It is obtained by placing a comb at cell (with the leftmost tooth of the comb occupying cell ) if and only if and then, after all the comb tiles have been placed, filling any remaining empty cells with squares. therefore corresponds to a board tiled with squares only. The singletons correspond to each of the possible places to put a tile of length on an -board. If contains more than one element, then there will be a tiling corresponding to iff, for any two elements in , the comb representing (which has its cell 0 at cell of the board) has a gap at its cell (which is cell on the board). This will be the case if .
To illustrate the bijection, we return to the example. The first case of an allowed subset of with more than one element is which can only occur if . This subset corresponds to the restricted-overlap tiling of an -board with the first comb (corresponding to the element 1) placed at the start (cell number 1) of the board and the second comb (corresponding to the element 4) placed with its start in the gap of the first comb which is at cell number 4 of the board. As the length of a -comb is 5, a board of length at least 8 is required for such a tiling. The remaining empty cells on the board (cell 7 and any cells beyond cell 8) are filled with squares.
The bijection also applies in the case if we set . The comb corresponding to is then a square (but we still call it a comb to distinguish it from the ordinary squares) so is the number of tilings of an -board using square combs (and ordinary squares) which is .
Let be the number of ways to restricted-overlap tile an -board with squares and combs corresponding to , and let be the number of such tilings that use combs. We choose to set .
Theorem 2
and .
Proof: This follows immediately from Theorem 1.
Lemma 1
If the number of tilings of an -board with squares and length- combs is given by
then the generating function for can be written as
(1) |
Proof: The generating function for is . The first terms of the expansion of this must be since there is only one way to tile an -board with squares and combs when , namely, the all-square tiling. From Theorem 2, , and so
which simplifies to (1) after first putting the terms inside the parentheses over a common denominator and then in the numerator discarding the terms for since they must sum to zero.
It can be seen that restricted-overlap tiling with squares and just one type of -comb, where , will result in no overlap of the combs and so the number of such tilings is the same as for ordinary tiling. For other types of comb, there will be some tilings where overlap occurs. The case with as studied in [17, 1], which is a generalization of all the other cases for which results for were obtained previously, corresponds to tiling with squares and -combs. Thus any results for we obtain for nonempty not of this form (and so overlap does occur) will be new ones.
3 Metatiles
We extend the definition of a metatile given in [7, 8] to the case of restricted-overlap tiling. A metatile is a minimal arrangement of tiles with restricted overlap that exactly covers a number of adjacent cells without leaving any gaps. It is minimal in the sense that if one or more tiles are removed from a metatile then the result is no longer a metatile.
When tiling with squares (denoted by ) and combs corresponding to (denoted by ), the two simplest metatiles are the free square (i.e., a square which is not inside a comb), and a comb with all the gaps filled with squares. The symbolic representation of the latter metatile is where . If a comb has no gaps then it is a -omino and is therefore a metatile by itself.

If the comb contains a gap, we can initiate the creation of at least one more metatile by placing the start of another comb in the gap. For instance, in the case of an -comb where , this is the only other possible metatile and so there are three metatiles in total (Figure 1a). However, if , adding a comb leaves a gap which can be filled either with a square to form a completed metatile () or with another comb which will leave a further gap, and so on (Figure 1b). Thus the possible metatiles in this case are for . More generally, we have the following lemma.
Lemma 2
Let be the length of the final tooth in the comb which has at least one gap. The set of possible metatiles when restricted-overlap tiling a board of arbitrary length with squares and combs is finite if and only if .
Proof: We can reuse the depiction of tilings in Figure 1 but with the left tooth of each comb now replaced by arbitrary teeth and gaps (but starting with a tooth). There is no possibility of a ‘chain’ of combs if, when a second comb is placed with the first cell of its first tooth just before the start of the right tooth of the first comb, the start of the right tooth of the second comb is before or aligned with the end of the right tooth of the first comb. This occurs if . If , a third comb can be placed so that its first cell is immediately to the left of the right tooth of the second comb and this can be continued indefinitely.
As with fence tiling [8], we can systematically construct all possible metatiles with the aid of a directed pseudograph (henceforth referred to as a digraph). As before, the 0 node corresponds to the empty board or the completion of the metatile. The other nodes represent the state of the incomplete metatile. The occupancy of a cell in it is represented by a binary digit: 0 for empty, 1 for filled. We label the node by discarding the leading 1s and trailing zeros and so the label always starts with a 0 and ends with a 1, with denoting 1 repeated times. Each arc represents the addition of a tile and any walk beginning and ending at the 0 node without visiting it in between corresponds to a metatile. With our restricted-overlap tiling, all nodes have an out-degree of 2 as a gap may always be filled by a square or the start of a comb. The destination node is obtained by performing a bitwise OR operation on the bits representing the added tile and the label of the current node, and then discarding the leading 1s. Figure 1 illustrates this for the metatiles involved when tiling with squares and -combs.
The most important property of a metatile is its length. This is obtained by summing the contribution to the length associated with each arc in the walk representing the metatile. The contribution to the length associated with an arc is zero if it corresponds to the addition of a square (except in the case of the trivial metatile) and for a comb arc equals where is the number of digits in the node label from which the arc emanates except when that node is the 0 node in which case . In the digraphs, the contribution to the length associated with each arc is given as a subscript in square brackets if it is not zero. For example, from the digraph in Figure 1b, for tiling with squares and -combs we see that the length of a metatile where is as in this case .
4 Counting restricted-overlap tilings
For brevity, we just give results for and as these are easily converted to recursion relations for and and the generating function for using Theorem 2 and Lemma 1. As with ordinary (non-overlapping) tiling, the following lemma is the basis for obtaining recursion relations for and .
Lemma 3
For all integers and ,
(2a) | ||||
(2b) |
where is the number of metatiles, is the length of the -th metatile and is the number of combs it contains, and .
Proof: As in [6, 8], we condition on the last metatile on the board. To obtain (2b) we note that if an -board tiled with squares and combs ends with a metatile of length that contains combs then there are ways to tile the rest of the board. The term is from the requirement that . This term arises in the sum when a particular metatile containing combs completely fills the board; there is only one tiling where this occurs. The derivation of (2a) is analogous but we ignore the number of combs. Alternatively, each term in (2a) is obtained from the corresponding term in (2b) by summing over all .
Theorem 3
If (or if ) where , , and , then
where the -bonacci number , . The sums are omitted if .
Proof: We use Lemma 3. If , is just a -omino and the results follow immediately. Otherwise, is an -comb. There are two trivial metatiles: and which have lengths of 1 and , respectively. For the remaining metatiles, since , as described in the proof of Lemma 2, the final comb in the metatile must start within the gap of the first comb. Number the cells in this gap from to . If the start of the left tooth of the final comb in the metatile lies in cell of this gap, the length of the metatile is . Cells 0 to of the gap can have either an or the left tooth of a and we end up with a metatile of this length. The number of ways this can be done is simply the number of ways to tile a -board using squares and -ominoes which is [6] (when , the -ominoes are regarded as being distinguishable from the ordinary squares). Hence there are metatiles of length of which have combs.
As an example of the application of the above theorem, we consider the case . Then and and we obtain the recursion relation . Using Theorem 2 gives which is in agreement with the recursion relation first obtained by Konvalina [14]. Note that the metatiles in this case are the square (), a comb with its gap filled by a square (), and two interlocking combs (). No overlapping occurs in this case and so it also an ordinary tiling which has been examined extensively [9].
For instances where the largest element of (the set of allowed differences less than ) is and but the other conditions in Theorem 3 do not hold, as the number of possible metatiles is finite (by Lemma 2), it is straightforward to find the length and number of combs in each of them and then use (2) to obtain recursion relations for and .
To enable us to tackle some cases where there are an infinite number of possible metatiles, we begin by reviewing some terminology describing features of the digraphs used to construct metatiles [8]. A cycle is a closed walk in which no node or arc is repeated aside from the starting node. We refer to cycles by the arcs they contain. For example, the digraph in Figure 1(a) has 3 cycles: , , and . An inner cycle is a cycle that does not include the 0 node. For example, the digraph in Figure 1(b) has a single inner cycle, namely, . If a digraph has an inner cycle, there are infinitely many possible metatiles as, once reached, the cycle can be traversed an arbitrary number of times before the walk returns to the 0 node. If all of the inner cycles of a digraph have one node (or more than one node) in common, that node (or any one of those nodes) is said to be the common node. In the case of a digraph with one inner cycle, any of the nodes of the inner cycle can be chosen as the common node. A common circuit is a simple path from the 0 node to the common node followed by a simple path from the common node back to the 0 node. For example, in the digraph in Figure 1(b), the common node is and the common circuit is . If a digraph has a common node, members of an infinite family of metatiles can be obtained by traversing the first part of the common circuit from the 0 node to the common node and then traversing the inner cycle(s) an arbitrary number of times (and in any order if there are more than one) before returning to the 0 node via the second part of the common circuit. An outer cycle is a cycle that includes the 0 node but does not include the common node. Thus any metatile which is not a member of an infinite family of metatiles has a symbolic representation derived from an outer cycle. E.g., the only outer cycle in the digraph in Figure 1(b) is .
The following theorem is a restatement of Theorem 5.4 and Identity 5.5 in [8] but with more compact expressions for and and improved proofs. Note that the length of a cycle or circuit is simply the total contributions to the length of the arcs it contains.
Theorem 4
For a digraph possessing a common node, let be the length of the -th outer cycle () and let be the number of combs it contains, let be the length of the -th inner cycle () and let be the number of combs it contains, and let be the length of the -th common circuit () and let be the number of combs it contains. Then for all integers and ,
(3a) | ||||
(3b) |
where .
Proof: From Lemma 3,
(4a) | ||||
(4b) |
with , where and . The multinomial coefficient (which counts the number of arrangements of the inner cycles) results from the fact that changing the order in which the inner cycles are traversed (after the common node is reached via the outgoing path of a common circuit) gives rise to distinct metatiles of the same length. The sum of terms over in (4a) may be re-expressed as
where denotes the multinomial coefficient with , and denotes a set of numbers drawn from . For example, if an instance of is in which case . Replacing by in (4a) gives
After changing to , the sum of terms over may be re-expressed as
where denotes the multinomial coefficient with replaced by (so, for example, ) and is a set of numbers none of which equal drawn from . After subtracting from (4a) and using the result for multinomial coefficients that , we obtain (3a). Similarly, subtracting from (4b) gives (3).
The rest of the theorems in this section concern families of whose corresponding digraphs each have a common node. Once the lengths of and the number of combs in each cycle and common circuit have been determined, the recursion relations for and follow immediately from Theorem 4.
It can be seen from (3) that the recursion relation for can be obtained from that for by replacing and by and , respectively, for any and . For the remaining theorems we therefore give the recursion relation for and only also show the one for if we use the expression for elsewhere.
For the more generally applicable theorems that follow, and are given most simply in terms of the elements of , the set of allowed differences less than . We order the so that for all , where , the number of allowed differences less than . Note that if the comb corresponding to has leftmost and rightmost teeth of widths and , respectively, then and . In digraphs, we let (for ) denote the bit string corresponding to filling the first empty cells of a comb with squares and discarding the leading 1s. Thus is always . It is also easily seen that the comb arc leaving the node is .
Theorem 5
If the elements of are a well-based sequence then
(5a) | ||||
(5b) |
If (and so ) then the sums over are omitted.
Proof: If the comb is a -omino and the results follow immediately. Otherwise, we first need to establish that the comb leaving the node for any in the digraph (Figure 2; Figure 1(b) shows the instance of the digraph) takes us back to the node. This is equivalent to there being a gap at position (for any ) of the first comb (or that position being beyond the end of the comb) where can be viewed as the position of the -th empty cell in the comb added at cell in the first comb. This must be the case by the definition of a well-based sequence; if there were no gap it would mean which is impossible. The digraph has inner cycles, namely, for , which have lengths , respectively. The common node is . There is one common circuit (), which is of length , and one outer cycle (), which is of length 1.

The following corollary was established via graph theory and results concerning bit strings in [13].
Corollary 1
The generating function for when the elements of form a well-based sequence is given by
(6) |
where .
Proof: Applying Lemma 1 to (5a) it can be seen that the numerator of (1) reduces to
where the inside the brackets results from the fact that appears as a term in the sum over for every up to . Note also that we must have and . When summed over , cancels (thus leaving just the multiplying the ) except if in which case is always zero and the when cancels the . Hence the numerator simplifies to . The denominator of (1) is, in the present case, , where . Using the result that it is then easily shown that the denominator can be re-expressed as .
We consider the case as an example for the application of Theorem 5. Then , , , and . Hence . Since in this case , Corollary 1 gives the generating function for of as found by Kitaev [13].
The proofs of some of the results that follow (starting with the next lemma which is used in the proof of Theorem 6) require combs where the number of gaps depends on the particular instance of . We therefore extend our notation: an -comb is a comb of length whose left and right teeth have widths of and , respectively.

Lemma 4
When restricted-overlap tiling an -board with and , where contains at least one gap and the width of the final tooth is , there is a 1-arc inner cycle containing the node iff (a) or (b) the final gap is of unit width and the penultimate tooth has a width of at least .
Proof: If , by Lemma 2, there can be no inner cycles. If and so the length of is , we have the situation depicted in Figure 3(a). In the figure, the cells of each comb marked with the dashed line could be parts of teeth or gaps. For the first (paler) comb depicted in each case, any such cells which are parts of gaps are filled with other tiles leaving the final gap cell empty (which corresponds to the node). The start of the next comb is placed in that cell (and we return to the node). If the final gap in the comb must be of unit width and the width of the penultimate tooth cannot be less than (Figure 3b).
Theorem 6
Let be the bit string representation of whereby the -th bit from the right of is 1 if and only if . By we mean discarding the rightmost bits in and shifting the remaining bits to the right places. Using to denote the bitwise OR operation, if for each is all ones after discarding the leading zeros, , and (which implies that ), then if (a) or (b) and , then
(7) |

Proof: The condition means that the final tooth is of width . The conditions (a) and (b) correspond to those in Lemma 4 and thus guarantee a single-comb inner cycle at the node. The condition on means that placing a comb at an empty cell (other than the final empty cell) will result in all gaps in the combs to the right of this point being filled. On the digraph this means that there is an arc from the node, where , to the 0 node. Tiling with squares and combs corresponding to leads to the digraph shown in Figure 4. There is one inner cycle () and one common circuit (). The outer cycles are and for and their respective lengths are 1 and .
It is straightforward to verify that the following four classes of satisfy the conditions for Theorem 6 to apply: (i) where and (e.g., for : , , , , , , , ); (ii) where and and (e.g., for : , , , ); (iii) , , , and (e.g., for : , , , , ); (iv) where and (e.g., for : , ). These classes cover all cases where the theorem applies for .
As an example, we consider the case . Then , , , , and . From (6) we get . An explicit formula for in this case can be obtained in terms of sums of products of binomial coefficients [17]. Summing over gives us a recursion relation for whose generating function is that of sequence A224809 in the OEIS [20] which does indeed correspond to numbers of subsets with differences not equalling 2 or 4.
Note that, omitting the sum, Theorem 6 holds for the case if and . It then coincides with Theorem 5.
Theorem 7
Suppose and . Then if either (a) or (b) where , then
(8) |
where the sum is omitted if .
Proof: Tiling with squares and -combs leads to the digraph shown in Figure 5. Note that if , the nodes are omitted since . There is just one inner cycle () and one common circuit (). Their respective lengths are and . The outer cycles are , , and, if , for . Their respective lengths are 1, , , and .
The instances of with to which Theorem 7 applies are , , , , and . As an example, we consider the case. Then and and Theorem 7 yields . For the case , Prodinger [19] derived an explicit formula for involving the sum of a product of four binomial coefficients. Konvalina and Liu also showed that for and [16]. Returning to our result, summing over all to obtain a recursion relation for and then applying Lemma 1 gives the generating function for of which matches that for the sequence for and (see A006500 in the OEIS [20]).

Theorem 8
If , , and (i) or (ii) , , but , then
(9) |
Proof: Tiling with (i) squares and -combs, where , or (ii) squares and -combs, where , leads to the digraph shown in Figure 6. There are inner cycles: for . Their lengths are and . The common node is and so the common circuits are which have lengths of and .
The instances of for which Theorem 8 applies when are , , , , , , , , , , , , , , , and .

We conclude by showing that all possible such that have been covered by the theorems given here. When , the comb is a -omino and is given by (5b). When , is an -comb (and the two possible cases are shown in Figure 1). Then if , Theorem 3 applies. Otherwise, if , Theorem 5 applies since (as and ) and hence the elements of are a well-based sequence. When , is either an -comb or an -comb for some . In the former case, and so the condition leads to Theorem 3 applying when . When , it is covered by the class (iii) instances of that apply to Theorem 6 except when in which case Theorem 7(a) applies. When , we have and and so Theorem 8 applies. The final possibility is if the elements of are a well-based sequence (and the case is then covered by Theorem 5) and this occurs if which implies that . For -combs, and so the case (Theorem 3) is when . Of the cases we first consider those where . This can arise in two ways. If (which implies ) and (which implies ) then the elements of are a well-based sequence and Theorem 5 applies. When and then Theorem 7(b) applies since these conditions can be re-expressed as and , respectively (and in this case implies ). When (and ), the case falls into class (i) to which Theorem 6 applies. There are three other ways in which arises when . If then we have class (ii) to which Theorem 6 applies. If then Theorem 8 applies. Finally, if (which implies ) then the elements of are a well-based sequence and Theorem 5 again applies.
5 Discussion
As increases, so, in general, does the number of inner cycles in the digraph and we find more and more instances (e.g., when [2]) where the digraph has inner cycles but no common node. In the simpler of such cases, it is still possible to derive general recursion relations analogous to (3) [1]. This enables one to find recursion relations for all the cases, as we will demonstrate in forthcoming work. For cases where the digraph is more complex, we have not yet managed to formulate a general procedure for obtaining the recursion relations.
On looking up sequences for various choices of in the OEIS, a number of connections between certain classes of and some instances of strongly restricted permutations, combinations, and bit strings were identified. These are described and proved in [2].
Various authors have also considered the number of ways of choosing objects from arranged in a circle in such a way that no two chosen objects are certain disallowed separations apart [12, 14, 18, 17, 10, 11]. A modified version of our bijection covers such cases if we instead consider restricted-overlap tiling using curved squares and combs of a circular -board with the -th cell joined to the first cell. There are, however, subtleties about the rules for overlap which we will address in detail elsewhere.
Acknowledgements
The author thanks Brian Hopkins for discussions about the manuscript and the two anonymous referees for their suggestions.
References
- [1] Allen MA (2022) On a two-parameter family of generalizations of Pascal’s triangle. J Integer Seq 25, 22.9.8.
- [2] Allen MA (2024) Connections between combinations without specified separations and strongly restricted permutations, compositions, and bit strings. arXiv:2409.00624 [math.CO].
- [3] Allen MA, Edwards K (2022) On two families of generalizations of Pascal’s triangle. J Integer Seq 25, 22.7.1.
- [4] Allen MA, Edwards K (2023) Identities involving the tribonacci numbers squared via tiling with combs. Fibonacci Quart 61, 21–27.
- [5] Allen MA, Edwards K (2024) Connections between two classes of generalized Fibonacci numbers squared and permanents of (0,1) Toeplitz matrices. Lin Multilin Algebra 72, 2091–2103.
- [6] Benjamin AT, Quinn JJ (2003) Proofs That Really Count: The Art of Combinatorial Proof, Mathematical Association of America, Washington.
- [7] Edwards K (2008/2009) A Pascal-like triangle related to the tribonacci numbers. Fibonacci Quart 46/47, 18–25.
- [8] Edwards K, Allen MA (2015) Strongly restricted permutations and tiling with fences. Discrete Appl Math 187, 82–90.
- [9] Edwards K, Allen MA (2021) New combinatorial interpretations of the Fibonacci numbers squared, golden rectangle numbers, and Jacobsthal numbers using two types of tile. J Integer Seq 24, 21.3.8.
- [10] Guo VJW (2008) A new proof of a theorem of Mansour and Sun. European J Combin 29, 1582–1584.
- [11] Guo VJW, Zeng J (2009) On arithmetic partitions of . European J Combin 30, 1281–1288.
- [12] Kaplansky I (1943) Solution of the “problème des ménages”. Bull Am Math Soc 49, 784–785.
- [13] Kitaev S (2006) Independent sets on path-schemes. J Integer Seq 9, 06.2.2.
- [14] Konvalina J (1981) On the number of combinations without unit separation. J Combin Theor A 31, 101–107.
- [15] Konvalina J, Liu YH (1991) Bit strings without -separation. BIT Numer Math 31, 32–35.
- [16] Konvalina J, Liu YH (1991) Subsets without -separation and binomial products of Fibonacci numbers. J Combin Theor A 57, 306–310.
- [17] Mansour T, Sun Y (2008) On the number of combinations without certain separations. European J Combin 29, 1200–1206.
- [18] Moser WOJ (1986) The number of subsets without a fixed circular distance. J Combin Theor A 43, 130–132.
- [19] Prodinger H (1983) On the number of combinations without a fixed distance. J Combin Theor A 35, 362–365.
- [20] Sloane NJA (2010) The On-Line Encyclopedia of Integer Sequences, Published electronically at https://oeis.org.
- [21] Valyuzhenich AA (2011) Some properties of well-based sequences. J Appl Ind Math 5, 612–614.