Simultaneous bifurcation of limit cycles for Piecewise Holomorphic systems
Abstract.
Let be a holomorphic differential equation with center at . In this paper we are concerned about studying the piecewise perturbation systems where are complex polynomials defined for We provide an integral expression, similar to an Abelian integral, for the period annulus of The zeros of this integral control the bifurcating limit cycles from the periodic orbits of this annular region. This expression is given in terms of the conformal conjugation between and its linearization at . We use this result to control the simultaneous bifurcation of limit cycles of the two annular periods of , after both complex and holomorphic piecewise polynomial perturbations. In particular, as far as we know, we provide the first proof of the existence of non nested limit cycles for piecewise holomorphic systems.
Key words and phrases:
Piecewise polynomial complex systems, holomorphic systems, limit cycles, averaging method, simultaneous bifurcation2020 Mathematics Subject Classification:
32A10, 34A36, 34C07, 37G151. Introduction
There are several important aspects to understand the dynamics of planar differential systems such as knowledge of the existence and number of limit cycles. In fact, the famous Hilbert’s 16th problem is one of the main open problems in the qualitative theory of planar polynomial vector fields. Finding good upper or lower bounds for the maximum number of limit cycles of particular families of such systems in terms of their degrees, or other characteristics, constitute challenging problems. Of course, the existence of upper bounds, explicit or not, are the more difficult questions. In this work we will concentrate on lower bounds.
In recent years, great interest has arisen in the study of limit cycles of piecewise holomorphic systems, which is a subfamily of piecewise smooth systems. This is because holomorphic functions have many applications in various areas of applied science, such as the study of fluid dynamics [1, 5, 6]. Furthermore, the study and properties of holomorphic systems make them interesting and beautiful but the absence of limit cycles makes them dynamically poor. Interestingly, in [13] and [14] the authors showed that there are piecewise holomorphic systems that have limit cycles. More precisely, in [14] the authors have used the intrinsic properties of holomorphic functions, such as their integrability, to construct limit cycles, whereas in [13] Gasull et al. approach this problem with different points of view: study of the number of zeros of the first and second order averaged functions, and with the control of the limit cycles appearing from a monodromic equilibrium point via a degenerated Andronov–Hopf type bifurcation.
Consider the piecewise polynomial complex systems (PWCS),
(1) |
where has a center at and are complex polynomial functions with degree Notice that the straight line divides the plane in two halfplanes As usual, the orbits on are defined following the Filippov convention, see [8] for more details.
When in system (1), in the polar coordinates , and it is converted into
(2) |
where is a sufficiently small parameter and represents terms of order at least two in for the functions By using the theory of averaging in this context (see [15]), it is well-known that each simple zero of
(3) |
provides, for small enough, a hyperbolic limit cycle of the piecewise smooth system (2) that tends to when tends to 0. The function is called the first order averaged function and sometimes it is also called the first order Melnikov function.
Our first aim is to use expression (3) to obtain a general closed expression for the Melnikov function of system (1) for a general such that has a center at From [3, 10], we know that there exists a conformal map such that this differential equation can be written as (or ). The map is called the linearizing change of at . Our approach works on the largest open set where this conformal map is well defined. In what follows, we state our first main result.
Theorem A.
The above results is an extension to the discontinuous case to the one obtained in [11] in the smooth situation.
We will employ Theorem A to study PWCS (1) for and
(5) |
In fact, this unperturbed system has been also the one considered in [11] in the smooth perturbations context.
We emphasize that has 2 centers at -1 and 1, separated by the invariant straight line Each of the punctured halfplanes is filled by periodic orbits of the system. To carry out this study, we explicitly use the linearization change of at , which we employ to find the bifurcation function at . Thus, by changing variables and time we will obtain the bifurcation function at It is worth noting that this linearizing is specially simple and has also a simple inverse but, unfortunately, for most holomorphic vector fields , the calculations can be much more complicated.
This type of problem has been addressed in several papers. Specifically, in [11] Garijo et al. study the smooth case, that is, , providing an integral expression for the differential equation and use this formula to control the simultaneous bifurcation of limit cycles of the two annular periods of , after a polynomial perturbation. Also, in [7] the authors investigate the number of bifurcating periodic orbits of a cubic polynomial vector field having two period rings using piecewise perturbations. They study, up to first-order averaging analysis, the bifurcation of periodic orbits of the two annular periods, the first separately and the second simultaneously. There are other works that consider the problem of simultaneous bifurcation such as [4, 12, 19] although in the context of piecewise systems the type of bifurcation that we consider in this paper is a complete novelty.
Before stating our second main result, we introduce some notations. We denote by and the first order averaged functions at and , respectively. In addition, we say that system (1) presents the configuration of limit cycles if and have simultaneously and simple zeros in the interval respectively. Our definition is motivated from the theory of averaging of first order, because as we will see in this case, for small enough, the differential system has limit cycles surrounding and limit cycles surrounding Obviously, by the symmetry of the problem if the configuration holds the configuration also does. For short we will say that the configuration is realizable.
For we will prove that both functions, multiplied by belong to the vectorial space generated by the functions
where recall that
As we will prove, the above ordered set of functions forms an extended complete Chebyshev system (ECT-system) on see Section 2.2 for more details. This property will allow to control the exact number of zeros of each of the functions, separately.
For bigger the number of monomials as well as the number of functions of the form for some fixed increasing degree polynomials in and will grow, but our approach also would apply. In short, for a fixed the control of the maximum number of zeros of and seems that could be completely understood, but would need much more computational effort. For this reason we have restricted most of our attention to the case On the other hand, the knowledge of the maximum number that both functions can have simultaneously is a difficult and challenging problem. All results that we have obtained in this direction are resumed in next theorems.
Theorem B.
Consider PWCS (1) with . If the unique realizable configurations are with . When if is a realizable configuration then Moreover the following configurations, of course satisfying are realizable:
-
(a)
with when
-
(b)
with when
-
(c)
with when
As a very particular subcase in the proof of Theorem B there appears the situation when both and are polynomials. In this situation the question of the simultaneous number of zeros in of both functions can be approached with much more detail. We believe that this is a problem that is interesting by itself. All our results in this subcase are resumed in Proposition 8.
At this point another natural question arises: What happens if the complex perturbation function in PWCS (1) is holomorphic? For short we will call these systems PWHS. For them both depend only on . As we will see, the fact that the perturbation is holomorphic greatly simplifies the calculations and it is not surprising that the number of cycles that arise is less than in the above more general situation.
As we will prove, in this case and for the functions and multiplied by belong to the vectorial space generated by the functions
that is also an ECT-system on We only have tackled the problem of simultaneous bifurcations when Our main result for PWHS is:
Theorem C.
Consider piecewise holomorphic systems of the form (1), with where depend only on . The following holds:
(a) When the unique realizable configurations are with and when the unique realizable configurations are with
(b) When if is a realizable configuration then Moreover the following configurations, of course satisfying are realizable: with
(c) When if is a realizable configuration then
In item (c) we only give an upper bound for the values and We believe that this upper bound is reached, as happens when To prove this fact we should develop in more detail our computations but we have decided do not face this question here. Similarly, we think that the value must have an upper bound smaller that because the functions and are strongly dependent, see the proof of Proposition 9.
It is well known that smooth quadratic systems can have nested limit cycles, formed by or limit cycles and also limit cycles forming two disjoint nests with configurations and see [18] and its references. Moreover, people believe that these are the only possible configurations. Until now, all examples with PWHS having limit cycles present them in a single nest and, already in the degree 1 case, there were linear PWHS examples with or nested limit cycles, see [13]. In this paper we present the first examples of PWHS with two different nests of limit cycles. Moreover for quadratic PWHS we obtain the following result:
Corollary 1.
There are quadratic PWHS of the form (1), with depending only on and having two limit cycles with configuration For cubic PWHS of the same form but with there are configurations with two nests of the types and
2. Preliminaries and proof of Theorems A
In this section first we recall some results that will be used throughout the paper. Then we prove Theorem A and by using it and the computations of Appendix 5 we obtain the explicit expressions of first order averaged functions and
2.1. The averaging method
We briefly recall some basic results of the averaging theory for piecewise smooth systems written in polar coordinates. An overview on this subject can be found in [15], and the reader can see the details of the proofs there. Consider the piecewise smooth systems of the form
(6) |
where with and is a sufficiently small parameter.
The following result can be found in [15, Theorem 1]:
2.2. A miscellany of results
A very useful and well-kown characterization of extended complete Chebyshev system (ECT-system) is the following:
Lemma 3.
is an ECT-system on an open interval, if and only if for all for all , where
is the Wronskian of at .
This result allows us to estimate the number of real zeros of any non-zero function , where denotes the set of all functions given by linear combinations of the functions of . In what follows, we state a classical result related to the ECT-system, whose proof can be found in [16].
Theorem 4.
Let be an ECT-system on . Then, the number of isolated zeros for every element of does not exceed . Moreover, for each configuration of zeros in taking into account their multiplicity, there exists with this configuration of zeros.
In what follows, we provide a simple result for finding the zeros of -parameter families of polynomials in one variable.
Let be a -parametric family of polynomials. We denote the discriminant of a polynomial as , i.e.
where is the resultant of and
Using the same ideas as in [9, Lemma 8.1], it is easy to prove the following result, which will be used throughout the paper.
Lemma 5.
Let , , be a family of real polynomials depending continuously on a parameter and set , for some continuous functions and . Assume that there exists an connected open set such that:
-
(i)
For some , has exactly zeros in and all of them are simple.
-
(ii)
For all , .
-
(iii)
For all , .
Then for all , has also exactly zeros in and all of them are simple.
To finish this section we state the well-known Descartes Theorem, which provides information about the number of positive zeros of a real polynomial based on the sign changes and the number of terms. For further details, see, for example, [2]. Given an ordered list of non-zero real numbers , we define the number of sign variations, denoted by with , as the number of indices for which .
Theorem 6 (Descartes Theorem).
Consider the real polynomial with and non-zero real constants for If the number of sign variations of is , then has exactly positive real zeros counting their multiplicities, where is a non negative integer number.
2.3. Proof of Theorem A
2.4. The bifurcations functions and
The following proposition gives us the expressions of the Melnikov functions and as well as the maximum number of zeros that each on of these functions separately can have when The starting point is to obtain first an explicit expression for by doing a detailed study around . Then, the analysis around will be reduced from the previous one. All these results are detailed in the Appendix 5.
Proposition 7.
For system (1) with and it holds that
where, for the variables can take any real value and depend linearly of the coefficients When only appear the following restrictions: when when and and when More specifically, the values of these constants are given in Remarks 11 and 13 in the Appendix.
Moreover, the maximum number of zeros of each and in is 1 when and it is when
Proof.
The expression of is given in Proposition 10 and Remark 11 of the Appendix 5. We remark that we use the linearizing change To get the expression of in terms of the coefficients of , it is enough to use Proposition 12 and Remark 13 of that Appendix, by changing in by for all and Then we arrive to the expression of of the statement and all the restrictions given there. We skip the details.
Let us study the maximum number of zeros of each of the functions and in separately, in terms of
The case is simpler and we study it in a different way. In this situation
for arbitrary values and . It is easy to see each of the functions has at most one zero in
Let us continue by studying the case We want to prove that the ordered set of functions
is an ECT-system in Notice that ) . We will use Theorem 4 together with Lemma 3. So, we need to compute several Wronkskians and prove that they do not vanish on We get,
Clearly, the Wronskians at for all Let us prove that for on
By computing the first derivative of we obtain
for all . Since and is increasing at , we conclude that for all .
Similarly,
where and and we have used that for all , which can be proven for instance by using Taylor’s formula. Again and is increasing, and so we can also conclude that for all .
Finally,
where and and this time we have used that for all As in the previous case we get that for all .
According to Lemma 3, is an ECT-system. Then, by Theorem 4, is the maximum number of zeros for any element of in and there are choices for and such that an element of has exactly simple zeros in for any
From the expressions of the involved constants, the results when (resp. ) correspond to (resp. ) follow similarly. Moreover it is clear that the number of elements of is form an ECT-system on with at most zeros, taking into account their multiplicities, and the result follows. ∎
3. Proof of Theorem B and the polynomial case
To study the number of zeros that the functions and can have in is a difficult question because of their transcendental nature. In Theorem B we only obtain partial results. In the first part of this section we will prove this theorem.
In the particular case both functions become polynomial and the study is much more affordable. Although this case gives less limit cycles we include a detailed study because we believe that itself provides an interesting problem.
Proof of Theorem B.
Recall that by Proposition 7, the bifurcation function of PWHS (1) associated to and are given respectively by and where
with and real coefficients, which depend of coefficients of the system and of Moreover, the maximum number of zeros that these functions separately can have is when and otherwise. Let us study the number of simple simultaneous zeros that and possess in in several situations. Clearly, these zeros coincide with the of zeros in of and respectively. Recall that we denote these number of zeros as respectively, and they give the realizability of the configuration for PWHS (1).
We will fix and prove the result case by case.
When the proof is very simple. We know that and for arbitrary values . Then, it is easy to see that either or one of the values is 0 and the other one is 1.
For the cases we will not give all details, but a procedure that allows to control the number of zeros of and by forcing the existence of several zeros of them in
(a) When then The case is much simpler and will be studied in next Proposition 8, so we consider and we can assume that
Then, the main idea of our approach is to consider four different values and in and then impose that four equations among the eight ones: are fulfilled. Then these four equations fix the values of and and it is easy to obtain them even explicitly, because the eight equations are linear with unknowns
In this way, any of the configurations with can be obtained. Notice that the negative values of give zeros of or that do not contribute to any of the values or because only simple positive zeros give rise to limit cycles of PWHS (1).
Notice also that when all the procedure is applied, to be sure that a configuration happens we need to prove that the forced zeros are simple. This is not always an easy task but it can be done with a case by case study. For instance, if for then they are always simple zeros of because this function is an element of an ECT system. If and not all zeros were simple, then it is easy to perturb the function to have at least simple zeros. Afterwards, one has to take care of the zeros of Each situation needs special tricks and sometimes some careful computations. Finally, it has to be studied if the given zeros are the only ones in or some extra zero does appear. Although this could be done, again by a case by case study, we do not give details on this matter. The main reason is that without studying this last question we already know that at least limit cycles surrounding and limit cycles surrounding exist although, eventually, more limit cycles could also appear.
As an illustration we present a detailed study for the case Fix for and force that all these values are zeros of This completely fixes the parameters and Moreover, since we know that is an ECT in we can ensure that these zeros are simple for Then we have to prove that does not have zeros in With this aim, it can be seen that
where is a fixed polynomial of degree 4. It can be seen, by computing its Sturm’s sequence, that it is positive in Since this shows that in and as we wanted to prove.
(b) When Recall that in this case the maximum number of zeros that the functions and separately can have in is five. We will look for new configurations not appearing when Similarly that in the case we can fix take six different values in and impose that six equations among the twelve ones: are fulfilled. We remark that at most five of these equations can involve or Then from these six equations we obtain explicitly the values of and They provide all configurations with with
(c) Case In this occasion we fix and eight values between and fix the parameters and By using this approach we obtain all configurations with with ∎
Next proposition fully characterizes the number of simultaneous zeros of and when both functions are polynomial.
Proposition 8.
For each set
the functions given in Proposition 7 when Let and be, respectively, their number of zeros in taking into account their multiplicities. Then the following holds:
-
(i)
When ( ) then
-
(ii)
When () then
-
(iii)
When () then
-
(iv)
When then
Moreover, all values of and satisfying the above restrictions are attained, except when
Proof.
(i) It is already proved in Theorem B.
When the most interesting and difficult case happens if either or We will concentrate in the case because the other situation can be reduced to this one.
In particular, must be non zero and without loss of generality we can assume that Since has all its roots and in we obtain that
Then,
Notice that
Let us prove item (ii). When and then and for Hence when by Bolzano’s Theorem and by Rolle’s Theorem because Moreover, the possibility is incompatible with and it holds that
All the other cases satisfying or and can be easily obtained by simple inspection. For instance, by taking , and as the roots of , we get that for it holds that and the values of are and respectively. We omit the other examples.
(iii) By using item (ii) it is clear that all cases with and and do happen. It is also clear that there are examples where is or Let us prove that, as in the above case, when then In this case the proof is more involved.
As in item (ii) we assume that and In this case and also happens that because it is independent of In particular we know that The difference with the above case is that and when this function can change sign in In any case, when we know that and the result follows.
To prove that when we will apply Lemma 5. We fix the values consider as a parameter and introduce the notation
Notice that
To apply the lemma we first need to study the zeros of Some computations give that
where the coefficients , are symmetric polynomials that we skip for the sake of shortness. It is well-know that given any real quartic polynomial such that it has two real roots and two complex ones, see [17]. Some tedious computations give that
with
which can be seen that is negative for all This is so, because by studying the system
we get that does not have solutions in Hence, the maximum of the function on the box is 0 and it is reached in the boundary at the point Furthermore, it is easy to see that the two real zeros of and satisfy
because and
Hence, if we define the three intervals and by Lemma 5 the value (that is the number of roots of in ) when does not depend on but on and maybe on the values of and
Similarly that in the quartic case, it is also well-know that given any real cubic polynomial it holds that:
-
•
If it has three simple real roots; and
-
•
If it has one simple real root and two simple complex roots.
Hence, if we take then and has three simple real roots. Let us prove that two of them are greater than To ensure that we take for small enough. For this value of let us prove that has a positive root that tends to infinite when tends to 0. To prove this fact consider the new variable Then, when
By the implicit function Theorem has a zero that tends to zero when tends to zero. This zero gives a positive zero of that tends to infinity when goes to zero. Moreover its asymptotic expansion at is Hence, from the existence of two positive roots of one in and a second one near infinity we deduce the existence of a third one, which moreover it is in as we wanted to prove.
If we take then and has a single real root. Since has a root in then
If we take then again and has three simple real roots. To know the localization of the roots it suffices to consider a value of big enough. Then the signs of the ordered coefficients of are and by Descarte’s rule of signs (see Theorem 6) has exactly one positive root. Hence, as in the previous case
In short, when it holds that Otherwise, some multiple root of appears but never in
(iv) We only need to take care of cases with at least five zeros. Let us assume that and and prove that indeed As in the previous case, the values fix By imposing that and we obtain that
Then
and the third root of is
because and so Hence, since ∎
4. Proof of Theorem C
The next result provides us with the expressions of the Melnikov functions and as well as the maximum number of zeros that these functions separately can have in the PWHS case when and
Proposition 9.
Let be a holomorphic polynomial of degree in (1) when and Then, the Melnikov functions and on -1 and 1 associated to it are:
where and depend of the coefficients for Moreover there are several linear relations among the values and the values as can be seen in the proof.
Proof.
Since the functions are holomorphic, then for all and . Thus, from the formula (11) we get that
(9) |
The expressions of when are already detailed in the proof of Proposition 10 in the general situation and can be easily particularized to the holomorphic case. Straightforward calculations allows us to get that for
where is a polynomial function of degree with rational coefficients, and Then,
Thus,
where and depends of the coefficients for .
Proof Theorem C.
(a) In the case the PWCS is indeed holomorphic and the proof is the same as that given in Theorem B(a).
From Proposition 9, when the bifurcation function of PWHS (1) associated to and are given respectively by and where are arbitrary real numbers. Hence if is root of then is a root of and vice versa because and are reciprocal polynomials. Hence the only possible configurations are with and and all them are realizable.
(b) When according Proposition 9, the bifurcation functions of the PWHS (1) associated to and are given respectively by
where and are arbitrary real coefficients, which depend of the real and imaginary parts of , for all . Even more, the maximum number of zeros that these functions separately can have is 3, because it can be seen that the functions form an ECT-system in Indeed this property also follows from the computations done in next item (c) by taking By using the same tools that in the proof of item (b) of Theorem B we obtain that all configurations with and are realizable.
(c) By Proposition 9, the first order averaged functions and multiplied by belong to the vectorial space generated by the ordered set of functions
Let us prove that they form an ECT-system on Their Wronskians, defined in Lemma 3, are for all and
at where is an increasing sequence of positive real numbers. Then, according to this lemma, is an ECT-system formed elements. Then, by Theorem 4, is the maximum number of roots in for any element of taking into account their multiplicities, as we wanted to prove. Notice that at this point, to prove that there are values of for for which the corresponding piecewise holomorphic system has nested limit cycles surrounding it would suffice to show that there is a choice of these parameters such that , and , can take arbitrary values. ∎
5. Appendix
This appendix is devoted to find the explicit expressions of the first order averaged functions and for PWCS (1) when when We will start by doing a detailed study of around . The analysis of around will be deduced from the previous one.
Proposition 10.
Proof.
To employ Theorem A to (1) at we must first linearize . It is easy to verify that if
(10) |
and by taking the differential equation writes as See the behaviour of the conformal map in Figure 1.
Remark 11.
Values of the parameters appearing in the expression of given in Proposition 10 when
In what follows, we establish a connection between the coefficients of the bifurcation functions and of -1 and 1, respectively. This relation allow us to study the simultaneous zeros of these functions.
Proposition 12.
Proof.
From the above proposition we obtain the expression of the function in Proposition 7 and also next remark.
Remark 13.
Values of the parameters appearing in the expression of given in Proposition 7 when
6. Acknowledgements
This article was possible thanks to the scholarship granted from the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), in the scope of the Program CAPES-Print, process number 88887.310463/2018-00, International Cooperation Project number 88881.310741/2018-01.
Armengol Gasull is partially supported supported by the Ministry of Science and Innovation–State Research Agency of the Spanish Government through grants PID2022-136613NB-I00 and by the grant 2021-SGR-00113 from AGAUR of Generalitat de Catalunya.
Gabriel Alexis Rondón Vielma is supported by São Paulo Research Foundation (FAPESP) grants 2020/06708-9 and 2022/12123-9.
Paulo Ricardo da Silva is also partially supported by São Paulo Research Foundation (FAPESP) grant 2019/10269-3 and 2023/02959-5, CNPq grant 302154/2022-1 and ANR-23-CE40-0028.
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