The morphology of MSS-sequences in a wide class of unimodal maps, its structure and decomposition
Jes\'us San Mart\'in, Antonia Gonz\'alez G\'omez, Fernando Blasco

TL;DR
This paper analyzes the structure and decomposition of MSS-sequences in unimodal maps, providing explicit forms, theorems for their decomposition, and algorithms for constructing these sequences.
Contribution
It introduces a detailed explicit structure of MSS-sequences, including decomposition theorems and an algorithm for their construction, advancing understanding of their combinatorial properties.
Findings
Explicit structure of MSS-sequences provided
Decomposition theorems for non-primary MSS-sequences
Algorithm for constructing sequence blocks
Abstract
The MSS-sequences (U-sequences) in a wide class of unimodal maps have the look where are sequences of s and s that contain at most consecutive s. The first block and the sequence following it are essential for an admissible sequence to be a MSS-sequence. Moreover are determined by . Explicit structure of MSS-sequences will be given as well as the theorems that decompose the non-primary MSS-sequences. The cardinality will be calculated for some important sets of non-primary MSS-sequences and an algorithm to generate the…
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Taxonomy
TopicsMathematical Dynamics and Fractals · semigroups and automata theory · Advanced Combinatorial Mathematics
The morphology of MSS-sequences in a wide class of unimodal maps, its structure and decomposition
Jesús San Martín
Universidad Politécnica de Madrid.
ETSIDI. Ronda de Valencia, 3. 28012 Madrid, Spain. e-mail:[email protected]. Corresponding author
Antonia González Gómez
Universidad Politécnica de Madrid.
ETSIMFMN Avda. de Las Moreras s/n. 28040 Madrid, Spain. e-mail:{antonia.gonzalez,fernando.blasco}@upm.es
Fernando Blasco
Universidad Politécnica de Madrid.
ETSIMFMN Avda. de Las Moreras s/n. 28040 Madrid, Spain. e-mail:{antonia.gonzalez,fernando.blasco}@upm.es
Abstract
The MSS-sequences (U-sequences) in a wide class of unimodal maps have the look where are sequences of s and s that contain at most consecutive s. The first block and the sequence following it are essential for an admissible sequence to be a MSS-sequence. Moreover are determined by . Explicit structure of MSS-sequences will be given as well as the theorems that decompose the non-primary MSS-sequences. The cardinality will be calculated for some important sets of non-primary MSS-sequences and an algorithm to generate the blocks will be provided, as the construction of the blocks allows the construction of the MSS-sequences.
1 Introduction
The key point of this paper is focused on making explicit the structure and the construction of MSS-sequences of one-dimensional discrete systems
[TABLE]
ruled by unimodal functions [1] ( the conditions that those unimodal maps should satisfy will be stated later). This goal is motivated both by physical and mathematical reasons.
Many physical systems are strongly dissipative because their flows are more contracted along the stable manifolds than are expanded along the unstable manifolds around the equilibria, as a result flows can be characterized through one-dimensional return maps. Furthermore, if the contraction rate is strong enough, then one can consider that the return map turns out to be unimodal for all practical purposes, even for high-dimensional flows [2]. The advantage of physical dynamical systems ruled by unimodal map is that these systems show an universal behavior under rather general conditions: all maps have the same bifurcation diagram [3], always appear the same sequences (MSS-sequences) with the same order of occurrence [1, 4, 5, 6] (an algorithm for generation of these sequences is given in reference [4]), the combinatorial properties of the system determine the geometrical properties discovered by Feigenbaum [7]. Therefore, the physical systems inherit this universal behavior, resulting that highly dissipative dynamical systems, ruled by very different differential equations, can be addressed as a single one.
The shape of the unimodal map induces a natural partition between left and right of its critical point (denoted by ), partitions are labeled as (left) and (right). As results, the iterates of a point by are coded by a sequence of symbols and : the itinerary of the point [1]. The opposite is not true since not every sequence s and s (admissible sequence [1]) is associated to the itinerary of a point. This combinatorial description of the dynamics, with s and s, goes back to the work of Beyer, Mauldin and Stein -BMS-, who gave a very simple criterion [5] for recognizing whether or not an admissible sequence is a MSS-sequence: for the class of unimodal round-top, concave functions, if the admissible sequence is shift-maximal then it is a MSS-sequence.
Nonetheless, despite the fact that much time has passed since the criterion was established, and the very simplicity of the criterion, there is one question that still remains open and that it is necessary to answer in order to complete the combinatorial description. This question is, what are specifically these universal MSS-sequences? And, in particular, how are they built and what is the relevant information derived from them? We shall answer these questions in order to complete the combinatorial description of these systems.
From a mathematical point of view, the importance of solving this problem is not only found in completing the combinatorial description, but the dynamical system is completely characterized by these sequences, so it is necessary to understand them.
Building patterns by the traditional trial and error method might be assumed at first glance the natural approach to finding the MSS-sequences. As the grammar of this kind of sequences has only two letters, (right) and (left), one would be tempted to combine the two letters in order to build sequences and then using the BMS-criterion for recognizing whether or not an admissible sequence is a MSS-sequence. This approach would be hopeless. The number of patterns grow exponentially (variations with repetition) with the period of sequences and the problem becomes rapidly intractable. Sequences of length as short as generate different patterns, and it is totally useless to look for patterns from which we can derive some specific rule.
We need a rule that dramatically decreases the number of the posible patterns in which to focus our attention. Let us note that the itinerary of the critical point (kneading sequence) belongs to and in particular the minimum value corresponds to the first of the sequence, hence, any other of the sequence will correspond to a bigger value. On the other hand, s of the sequence correspond to points belonging to where es increasing. So, if leaves the interval after iterations, then any other sequence point belonging to —that is, points associated with s— will leave the interval after iterations at most. It follows the well-known result that MSS-sequences cannot have consecutive sequences of s longer than the first consecutive sequence of s. As all sequences start as , its consecutive sequence of s will have s at the most. That will determine the first brick to complete the building: the block. Obviously, between two consecutive blocks there cannot be consecutive sequences of s longer that . Therefore, the structure of the MSS-sequences is . Where are sequences of s and s, with at most consecutive s. The original problem has now become: 1.- determine the values of that give the possibility of having MSS-sequences, 2.- determine the sequences . We find that, surprisingly, the blocks , are controlled by , which is located between the first two blocks (both and are calculated in section IV). Broadly speaking, MSS-sequences are built by linking sequences , with ruled by What seemed to be an intractable puzzle of combinations will be reduced to the combination of two blocks according to a far more restrictive rules than the original problem, it will allow us to obtain our goal of determining the explicit structure of the MSS-sequences (section III).
Obviously, once MSS-sequences have been identified, the following step will be to study how these structures are composed in the sense of Derrida, Gervois and Pomeau -DGP- [8], that is, we will identify the non-primary sequences and by using several theorems will decompose them as compositions of primary sequences (section V). Notice that characterizing primary periodic sequences is characterizing the basic bricks with which the bifurcation diagram is built, because all periodic sequences of the diagram are either primary or the composition of primary sequences.
Finally, we will be in a position to calculate the cardinality of some sets of non-primary sequences (section VI).
In section VII we will indicate how those results can be useful to solve open problems in dynamical systems.
2 Definitions, notations and previous theorems.
Let be a finite sequence where or for and . Those sequences are called admissible [5]. BMS defined a linear order on according to Collet and Eckman [1]. They call this linear order a parity-lexicographic ordering. First, put . Let and be two sequences in . Let be the first index where they differ, . If then iff . Suppose . In case , have an even number of s then iff and in case there are an odd number of s, then iff . An admissible sequence is called shift maximal if it is greater than or equal to each of its right shifts.
The iterates of a point are easily associated with admissible sequence by using the itinerary of the point. Given , the itinerary [1, 5] of the point is the admissible finite sequence , where if and if
An admissible sequence is turned into a sequence of numbers by using the -sequence (the -sequence eases the comparisons and make more compact proofs).
Definition 1**.**
[8] Let be an admissible sequence. Let be the number of s previous to The sequence of , denoted by or is the sequence with
[TABLE]
Given , the shift operator is defined as usual by for . Given the sequence it follows that
We have that if , where is the least integer such that . An useful method when comparing two sequences is identifying the place where they begin to be different. Graphically we will write both sequences in parallel with a vertical line indicating the place where they start to be different
[TABLE]
Every MSS-sequence starts with , therefore from now on we will focus on sequences if their length is and otherwise. The last one has as sequence
Notation. For convenience, we will use the following notations:
a) will denote a consecutive sequence with s ( s).
b) () an alternated sequence consisting on s and s, starting with () and length .
c) will denote a consecutive sequence with [math]s.
With the new notation,
[TABLE]
Definition 2**.**
[5] An unimodal round top concave map is an unimodal and continuous map such that
a) , , is nondecreasing on and non-increasing on
b) is concave
c) there exists such that exists and is continuous in and .
Theorem 1**.**
[5] Let be a unimodal round-top function. For each shift-maximal sequence there is a value of such that . In particular, each MSS sequence occurs.
Theorem 2**.**
[5] Let be unimodal. For any , is shift maximal. In particular, an MSS-sequence is shift maximal.
In the construction of the MSS-sequences we well find that some patterns are not shift maximal and, according to theorem 2, they are not MSS-sequences, thus we will reject those patterns, whereas theorem 1 will be used later to obtain the explicit aspect of MSS sequences. From now on we will work with the unimodal maps that verify the conditions given in theorem 1.
Now the question is dealing with the shift-maximal sequences that appear in theorem 1. We need an operational method that allows to make explicit the structure of the MSS-sequences. This operational method was given by DGP [8], that translated the admissible sequences into number sequences, the so-called sequences ; using the sequence , the shift-maximality condition for each is expressed as for each (DGP [8] give a theorem that allows constructing the MSS-sequences in the way it is done in this paper, but the conditions given in theorem 1 are weaker, so we use the formulation of BMS instead of DGP). The sequence has an operational advantage to the admissible sequence when we make comparisons in order to check if is shift-maximal. When we compare and we must calculate the parity of the fragment that is common to and and, obviously, this must be done for each When we use we do not calculate the parity of the common fragment, we just study the worst case for and and, consequently, the proofs are simpler. Remark that either or begins with and it is always less or equal to , so we only have to study one case: the case with the worst conditions. On the other hand, the presence of the sign is easy to understand: can have the opposite sign to since can change the parity of the common fragment when it is moved to the first position. In addition to the operational advantage derived from the use of -sequences, its use allows a more compact notation and a very simple comparison procedure, as we have seen above.
3 The morphology and structure of the MSS-sequences
Remark 1**.**
Given the admissible sequence either or starts with . The one starting with always verifies the condition described in theorem 1 as i.e. either or So, to know whether a sequence is shift maximal or not we only need to pay attention to those shifts beginning with . Thus, without loss of generality, we will always assume that is the sequence that starts with . The case must be treated separately since we have , so .
Notice that however without filling with [math]s in the end (see Definition 1). The convenience of this fact will be used in proofs. Since [math]s do not play any role in the proof, by abuse of notation we will write that using them interchangeably.
Lemma 1**.**
The admissible sequences such that and for all and are not shift maximal.
Proof.
Let us write It results, by using definition 1, that
[TABLE]
So Theorem 1 is not satisfied. ∎
The lemma states the following: if the first of the sequence is followed by consecutive s then a necessary condition for a sequence to be MSS-sequence is that it has a series of, at most, consecutive s. As we have remarked in the introduction, this is a well known fact that will lead us to an important statement.
Definition 3**.**
We denote by the set of sequences consisting of s and s, with length , starting with and containing at most consecutive s. is the empty set. We denote by .
Having in mind definition 3 and lemma 1, the candidates to MSS-sequences must follow the pattern
[TABLE]
Thus, in order to get the MSS-sequences we need to know the values of and the .
Proposition 1**.**
Let be the admissible sequences . If or with then are not shift maximal.
Proof.
If then the block implies that starts with sequences with alternating sign. If we take then shifts blocks with length , i.e., we shift every block of except the last one, which generates a in the sequence.
On the other hand, starts with because has consecutive at most.
Notice that will be preceded by after the shift, so the sign of its sequence will change to .
Writing it results
[TABLE]
[TABLE]
Let be such that . If then
[TABLE]
[TABLE]
∎
The Proposition 1 has reduced the candidates to MSS-sequences to the following patterns with and . Since the latter are shift maximal we only have to study the sequences
[TABLE]
Remark 2**.**
From it results with as has consecutive s at most. Thus the shifts generating sequences starting with or , verify the condition described in Theorem 1, consequently we only need to pay attention to sequences starting with .
Notice the following particular cases:
i) If with it follows .
ii) If , where as has, at most, consecutive s, then
iii) If with then
It follows that the only shifts we have to pay attention to are those given by with (the change of the sign of is due to the in the block that precedes it) and deduce under which conditions those shifts verify that . This will be done in the following theorems.
Two steps are needed. First, study the structure of the sequences, , that, as we will see, are determined by the sequence . Second, study the restrictions on the of The apparent simplicity of expression is tricky. Although the first block and are the blocks that will determine if it is shift maximal, there are combinations with repeated blocks that make it necessary to study sequences longer than the corresponding to the sequence of . Let us proceed by parts: first of all we shall find the MSS-sequences without a repeated block .
Theorem 3**.**
The admissible sequences
[TABLE]
are shift maximal.
Proof.
It is straightforward by applying theorem 1 as contains consecutive s at most. ∎
Note that theorem 3, according to theorem 1, has provided the set of MSS-sequences with just one group . So the next step consists on finding the MSS-sequences in which the group appears more than once.
Theorem 4**.**
Let be admissible sequences and , , such that
[TABLE]
with If then where .
Proof.
a) . This is the case with , i.e., the sequence is the only repeated block. By hypothesis we have that since is preceded by just one , so
[TABLE]
b) Let be such that it follows that
[TABLE]
and having in mind the hypothesis in the theorem it results that
[TABLE]
∎
In this proof we are not paying attention to the shifts that do not pose any problem, such as detailed in Remark 2.
Notice that is multiplied by since in is preceded by a sequence identical to the one preceding . The advantage of this, applied to the theorem, is that we only have to calculate and it is not necessary to calculate .
The reader can ask him/herself that why it is not enough to compare with but we have to compare with . The reason is that it is possible to have Consequently there exists such that
[TABLE]
so we have to compare with .
Notice that Theorem 4 allows an arbitrary number of repeated sequences which can, and usually will, be different. In fact, Theorem 4 gives a partial solution of our goal as it is shown in the following corollary.
Corollary 1**.**
Let be such that and for each , then are MSS-sequences.
In broad terms, Theorem 4 controls the repeated sequences ending in . But, as we had already noticed in the introduction, we need also to control of . Next theorem will do this for the repeated sequences ending in groups .
Theorem 5**.**
Let with , be admissible sequences such that
[TABLE]
with and even (odd). If and odd (even) or and even (odd) then where .
Proof.
a) even
Let , with . If is odd it results
[TABLE]
In a similar way we get with where the comes from the . As and is even it follows that
[TABLE]
[TABLE]
If and is even, the proof is done in a similar way.
b) odd. The proof is straightforwardly adapted from the one given in case (a).
∎
Theorem 4 controls the only shifts we have to pay attention to (see Remark 2) in order to Theorem 1 be satisfied when the common chunks of are followed by different groups, whereas Theorem 5 controls the only shifts we have to pay attention to (see Remark 2) in order to Theorem 1 be satisfied when the common chunks of are followed by different groups. As admissible sequences result from linking and groups, the only shifts that should be done in order to check whether satisfies Theorem 1 are those given by Theorems 4 and 5. If, in addition, when making all possible shifts Theorem 1 is verified, according to Theorems 4 and 5 it results that is MSS-sequence and so we have the following theorem.
Theorem 6**.**
are MSS-sequences if and only if for each , , such that either
a)
[TABLE]
and or
b)
[TABLE]
and
even (odd) with either , odd (even) or , even (odd)
4 Construction of blocks
Given a sequence of period , Theorem 4 (see part (a) of its proof) indicates that is determined by in order to have an MSS-sequence. So, we have to calculate as and, after that,
a) Construction of with , .
We begin providing an algorithm to construct Notice that its construction is equivalent to solving the problem of filling a row of boxes each of them with one letter or in such a way that the row always starts with and has at most consecutive s. To get it we write That is, we group the boxes in blocks of consecutive boxes each, where each block must have at least one but, perhaps, for the last block , which contains the last boxes. So
[TABLE]
{\mathrm{S}(m,q-1)}=\stackrel{{\scriptstyle\mathrm{B}_{1}}}{{\text{\framebox[51.21504pt]{{\mathrm{A}{1}\ldots\mathrm{A}{q}}}}}}\quad\stackrel{{\scriptstyle\mathrm{B}_{2}}}{{\text{\framebox[62.59596pt]{{\mathrm{A}{q+1}\ldots\mathrm{A}{2q}}}}}}\ \ldots\ \stackrel{{\scriptstyle\mathrm{B}_{j}}}{{\text{\framebox[85.35826pt]{{\mathrm{A}{(j-1)q+1}\ldots\mathrm{A}{jq}}}}}}\quad\stackrel{{\scriptstyle\mathrm{F}}}{{\text{\framebox[76.82234pt]{{\mathrm{A}{jq+1}\ldots\mathrm{A}{jq+r}}}}}}
We distinguish the following cases:
- i)
, i.e. \stackrel{{\scriptstyle\mathrm{F}}}{{\text{\framebox[51.21504pt]{{\mathrm{A}{1}\ldots\mathrm{A}{r}}}}}}
Since every sequence is always preceded by a block , in order to avoid a sequence the first symbol in must be , followed by a sequence of s and s with length That is, an followed by the variations with repetition of s and s of length
- ii)
We denote by the position of the first in block and by the position of the last in that block. Notice that by definition of and that has not to be in the other blocks. Thus, the sequences of consecutive blocks and have the following structure with (have in mind that before the first and after the last it is only possible to have s)
[TABLE]
with , and . Thus the number of consecutive between the last of and the first of is, at most, . So the sequences in the blocks follow the pattern , where denote the set of variations with repetition of s and s with length . Notice that can be 0; in that case the first and last in coincide, i.e. the block contains only one , so and .
It remains to construct the block To do so we consider , the position of the last in the block previous to
- a)
The block behaves as blocks with and
- b)
. If block were composed only with consecutive s -the most unfavorable case- then the number of consecutive s from the last in would be, at most, Thus in that case will be the sequences formed by variations with repetition of s and s with length , i.e.
b) Construction of with
Let us construct so that sequences are shift maximal. As and , according to Theorem 4, we must construct such that in order to satisfy Theorem 1. In other words, we want To get it we look for the positions in where appears and we substitute that with , such that the number of consecutive s will be less or equal than
Let be . Then, with the aim of constructing :
Let be the first in (notice that ) which is preceded by a sequence , .
We construct where is a sequence consisting on s and s that has consecutive s at most whose length can vary from [math] to a value , chosen such that the period of a sequence is not beaten. In order to avoid sequences , after replacing by , we have to reject those starting with sequences such that , .
While we look for the next , preceded by a sequence , , and go back to step .
Notice that if a is generated in the process then it will have the associate sequence , i.e, letter , not only letter , plays a role when sequences of s are generated.
5 Structure of non-primary MSS-sequences
An important topic in dynamical systems is the composition of sequences [8], which carries the inverse problem of knowing whether an sequence is primitive or not.
We begin remembering the composition law formulated by B. Derrida, A. Gervois and Y. Pomeau.
Definition 4**.**
[8] Let be and , with either or .
, with , if parity of is even and with , otherwise. Where and
Remark 3**.**
This composition law is not restricted to the class of unimodal maps given in theorem 3, which has been used to construct the explicit form of the MSS-sequences.
For recursive decomposition reasons, it is necessary to know the decomposition of the MSS-sequences given by Theorem 3 ().
Theorem 7**.**
Given a MSS sequence of length , the structure of non-primary sequences falls exclusively within the pattern
[TABLE]
Furthermore the non-primary sequences can be written as
[TABLE]
where divides
Proof.
Let be . As begins with the only way to generate the block by the composition is that either or . If then the block would appear more than once in the non-primary sequence, and this would be in contradiction with the structure of .
If we compose and (where and because is a MSS-sequence) as the -parity of is odd, it results
[TABLE]
As begins with it follows that has necessarily to be turned into an and, in order to avoid to get more than one block, the remaining have to become s, so
[TABLE]
with,
We conclude that, by construction, there only exist the described and whose composition generates the sequence . Moreover, we get that must be a proper divisor of ∎
Let us focus now on the sequences with a repeated group . From the composition of the sequences and it follows
[TABLE]
This implies that, when a MSS-sequence has repeated the subsequences that begin with and have the last character different, it is a non-primary sequence, and it factors as described in (6). This conclusion might lead to an error since there are MSS-sequences in which the repeated subsequence is not evident. A particularly interesting case is shown in the next theorem, due to its importance and later use.
Theorem 8**.**
The MSS-sequence is non-primary if and only if , and where or for all . Moreover does not finish with .
Proof.
From the composition law it follows that is a non-primary sequence if and only if where or for . So
[TABLE]
with and if the parity of is even (odd). Moreover can not finish with since if it happened it would follow that
a) parity of is odd, and since it would follow
[TABLE]
b) parity of is even, and since it would follow
[TABLE]
In both cases groups are generated, and they do not appear in the sequence . A similar argument can be used for another
∎
Remark 4**.**
Theorem 8 prevents from ending in This fact shows the existence of composed sequences in which, apparently, there are not repeated subsequences. It suffices taking such that finish with for obtaining that is a non-primary sequence with groups that hide the repeated subsequences, as we see in the following example. Let be y
[TABLE]
In general, given y it happens that
[TABLE]
where it has been assumed that and (i.e. the values that are possible for a arbitrary) and , if parity of is even (odd). Note that in (8) follow the pattern or , except the last one (see the above example), that is different because it has not the last letter, fact that allows us to identify the possible non-primary sequences that contain groups .
Finally, we shall study the particular case
Theorem 9**.**
The MSS-sequence
[TABLE]
with and for all , is non-primary with and .
Proof.
We are looking for a factorization . Since begins with and ends with , having in mind the law composition, necessarily and . As , and the parity of the is odd, it results that has to be turned into an and . In order to get more than one block, some of the remaining have to become and . So
[TABLE]
Notice that for all
[TABLE]
Then
[TABLE]
Note that for each because if there is then would not be a MSS-sequence according to lemma 1. ∎
Corollary 2**.**
The non-primary sequences P factor as for and one of the three following possibilities
- i)
.
- ii)
- iii)
Remark 5**.**
In particular, the non-primary sequences with a group, , for some , are either of the type given by theorem 9 or all their groups are repeated except, perhaps, the last one (the last letter is missing) as it is shown in expression (6). It is important to remark that if the MSS-sequence is non-primary, the sequence appears just in the final part of the sequence, and this allows us to deduce who is and so who is For instance, let be . We deduce that y
Recursive decomposition and factorization. Non-primary sequences factor according to corollary 2. When corresponds to case i) in corollary 2 it happens that is either primary or it admits one of the factorizations shown in this section. Notice that when decomposing as (case ii) in corollary 2) we have that is either primary or non-primary of type in agreement with Theorem 7, where sequences are primary. In the case iii) of corollary 2 it is that is a primary sequence.
On the other side, is either primary or it admits decomposition, so the decomposition can follow in a recursive way generating the sequence factorization (regarding this factorization as the set of the primary sequences in which it is decomposed).
6 Cardinality of non-primary sequences
6.1 Cardinality of sequences.
According to Theorem 7 this kind of sequence has an unique decomposition given by
[TABLE]
where is a proper divisor of , the length of .
Notice that, according to the decomposition, , and (which corresponds to the divisors and of respectively) are forbidden because then negative powers would appear in expression (9). For a fixed period , the uniqueness of the sequence decomposition, implies that the cardinality of the set must come from the proper divisors of , according to (9).
Let be the decomposition of in prime factors. Then the set of its divisors is .
So the number of this type of non-primary sequences is , where corresponds to remove and as divisors. Notice that we take through .
6.2 Cardinality of
sequences.
The non-primary sequences given by Theorem 8 are where . The presence of the block in the sequences implies . Since it follows that (the case corresponds to
i) For fixed because, according to theorem 8, the sequences are just the sequences resulting from joining identical subsequences, where each one of them is in the set with fixed.
ii) For fixed, the value of in can take values in the set , as is the period of (the case corresponds to with and ).
On the other hand the period of is , so and, for any , we have
[TABLE]
iii) Considering every divisor it follows, for a fixed period , that
[TABLE]
where denotes the set of proper divisors of .
Finally we have to calculate with . In order to count the number of sequences we will classify those lists regarding the number of that contain:
[TABLE]
where denotes the set of lists with length , consisting on symbols and , starting with , containing consecutive s at most and s apart from the first one.
There is a bijection between and the set of solutions of
[TABLE]
As
[TABLE]
we have to estimate the number of solutions of (10). With that objective in mind we define
[TABLE]
Then, by inclusion/exclusion, we have that
[TABLE]
It is known [11] that the number of solutions of
[TABLE]
so
[TABLE]
Thus, since in every sum the number of terms is we get finally that
[TABLE]
7 Conclusion and its relation with open-problems in Dynamical Systems
The combinatorial descriptions of one-dimensional discrete systems ruled by unimodal round-top concave functions (see (1)) has a pending problem since Beyer, Mauldin and Stein gave a theorem to decide whether an admissible sequence was an MSS-sequence or not (see theorem 1) . Namely, which is the explicit expression of MSS-sequences of these dynamical systems. We have solved this problem by proving that the structure of MSS-sequences is
[TABLE]
That is, sequences result from linking alternatively and blocks, where are sequences of s and s such that the longest consecutive sequence of s has symbols. Theorem 6 states how and must be linked in order to (11) be an MSS-sequence. Perhaps, the most striking fact we have found is that the condition for being a MSS-sequence is ruled by , the subsequence contained between the first two blocks, since the rest of are built from (section IV). As the blocks are trivial, the building of the MSS-sequence is determined by and therefore by . An inheritance process is manifested, that must be studied. On the other hand, the fact that is derived from implies that if are constructed then we are able to construct , and so the sequence The construction of is given in Section IV (a) and in IV (b). The importance of is not only shown by the fact that groups are constructed from , but also because of the role played by in the composition/decomposition of non-primary sequences (theorem 8).
The fact of having an explicit form of MSS-sequences has led us to characterize which are non-primary and how they are factorized as composition of primary sequences (Section V). In this factorization process plays an important role: its cardinality, along with the factorization theorems, has led us to calculate the cardinality of different non-primary sequences. Notice that factorization theorems (Section V) impose very restrictive conditions to be non-primary sequences, i.e. for sequences of fixed length primary sequences will be much more abundant than non-primary, as it had always been noticed [8].
Our results can supply new approaches and tools for open-problems in dynamical systems. As we know the explicit expression of all MSS-sequences, we can calculate which orbits are near to each other in the phase space, and find out how they cluster. This kind of clusters plays an important role in quantum chaos [12].
An emerging problem, related to clustering of orbits, is what we might call the inverse problem: we do not want to visit certain zones of an attractor. The MSS-sequences, lacking the sequence coding that zone, will not visit this zone [13].
Other uses are possible. As MSS-sequences are known according to our theorems, we can use them to calculate where they are located in parameter space, by using the algorithm given by Myrberg [3]. Compare how easy it is locating the sequences using Myrberg algorithm with the extraordinarily big computational cost required when sequences are looked for using brute force. These big computational costs limit numerical experiments to sequences of low period [14], so it is very useful having a simple method for locating sequences in the parameter space.
In section V we identify the non-primary sequences, and so the primary sequences. Primary cycles are important to get a more accurate approximation of strange attractors, by shadowing long orbits when cycle expansions are used [15].
Finally, we have calculated the cardinality of different sets of non-primary sequences. In this knowledge lies the foundation to calculate topological entropy [16].
Acknowledgements.- The second and third authors are partially supported by Ministerio de Economía, Industria y Competitividad under the grant TRA2016-76914-C3-3-P Thanks are given to Daniel Rodríguez-Pérez and Pablo Fernández-Gallardo who improved the final version of this paper.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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