The Faa di Bruno Hopf algebra for multivariable feedback recursions in the center problem for higher order Abel equations
Kurusch Ebrahimi-Fard, W. Steven Gray

TL;DR
This paper introduces a multivariable Hopf algebra framework to analyze the center problem for higher order Abel equations, linking feedback control, combinatorial algebra, and differential equations.
Contribution
It generalizes the Faa di Bruno Hopf algebra to multivariable feedback recursions, providing new algebraic tools for the center problem in higher order Abel equations.
Findings
Develops a multivariable Hopf algebra for feedback recursions.
Provides a linear recursion for the antipode using coderivations.
Explores the composition condition for the center problem.
Abstract
Poincare's center problem asks for conditions under which a planar polynomial system of ordinary differential equations has a center. It is well understood that the Abel equation naturally describes the problem in a convenient coordinate system. In 1989, Devlin described an algebraic approach for constructing sufficient conditions for a center using a linear recursion for the generating series of the solution to the Abel equation. Subsequent work by the authors linked this recursion to feedback structures in control theory and combinatorial Hopf algebras, but only for the lowest degree case. The present work introduces what turns out to be the nontrivial multivariable generalization of this connection between the center problem, feedback control, and combinatorial Hopf algebras. Once the picture is completed, it is possible to provide generalizations of some known identities involving…
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11institutetext: Kurusch Ebrahimi-Fard 22institutetext: Norwegian University of Science and Technology, 7491 Trondheim, Norway,
On leave from UHA, Mulhouse, France. 22email: [email protected]. 33institutetext: W. Steven Gray 44institutetext: Old Dominion University, Norfolk, Virginia 23529 USA, 44email: [email protected]
The Faà di Bruno Hopf algebra for multivariable feedback recursions in the center problem for higher order Abel equations
Kurusch Ebrahimi-Fard
W. Steven Gray
Abstract
Poincaré’s center problem asks for conditions under which a planar polynomial system of ordinary differential equations has a center. It is well understood that the Abel equation naturally describes the problem in a convenient coordinate system. In 1989, Devlin described an algebraic approach for constructing sufficient conditions for a center using a linear recursion for the generating series of the solution to the Abel equation. Subsequent work by the authors linked this recursion to feedback structures in control theory and combinatorial Hopf algebras, but only for the lowest degree case. The present work introduces what turns out to be the nontrivial multivariable generalization of this connection between the center problem, feedback control, and combinatorial Hopf algebras. Once the picture is completed, it is possible to provide generalizations of some known identities involving the Abel generating series. A linear recursion for the antipode of this new Hopf algebra is also developed using coderivations. Finally, the results are used to further explore what is called the composition condition for the center problem.
Keywords:
center problem, Abel equation, Faà di Bruno Hopf algebra, shuffle algebra, control theory, combinatorial Hopf algebra
MSC Classification: 34C07; 34C25; 16T05; 16T30
1 Introduction
The classical center problem first studied by Henri Poincaré Poincare_1928 considers a system of planar ordinary differential equations
[TABLE]
where are homogeneous polynomials with a linear part of center type. The equilibrium at the origin is a center if it is contained in an open neighborhood having no other equilibria, and every trajectory of system (1) in is closed with the same period . The problem is usually studied in its canonical form via a reparametrization that transforms (1) into the Abel equation
[TABLE]
where and are continuous real-valued functions Alwash-Lloyd_87 ; Cherkas_76 ; Lloyd_82 . In this setting, the origin is a center if for sufficiently small and fixed. The center problem is to determine the largest class of functions and that will render a center.
An algebraic approach to the center problem was first proposed by Devlin in 1989 Devlin_1989 ; Devlin_1991 , which was based on the work of Alwash and Lloyd Alwash-Lloyd_87 ; Lloyd_82 . In modern parlance, Devlin’s method was to first write the solution of the Abel equation (2) in terms of a Chen–Fliess functional expansion or Fliess operator Fliess_81 ; Fliess_83 whose coefficients are parameterized by . A Fliess operator is simply a weighted sum of iterated integrals of and indexed by words in the noncommuting symbols and , respectively. The concept is widely used, for example, in control theory to describe the input-output map of a system modeled in terms of ordinary differential equations. (For readers not familiar with this subject, the following references provide a good overview Fliess_81 ; Fliess_83 ; Isidori_95 ; Kawski-Sussmann_97 ; Nijmeijer-vanderSchaft_90 ; Wang-Sontag_92 ; Wang-Sontag_92a ; Wang-Sontag_95 ; Wang_90 ; Wang_95 .) Devlin showed that the generating series for his particular Fliess operator with , which is a formal power series over words in the alphabet , can be decomposed as
[TABLE]
where the polynomials , satisfy the linear recursion
[TABLE]
with and . Here , and each letter encodes the contribution of to the series solution of . His derivation used the underlying shuffle algebra induced by products of iterated integrals rather than the fact that the operator coefficients are differentially generated from the vector fields in the Abel equation (2) Fliess_81 ; Isidori_95 ; Nijmeijer-vanderSchaft_90 . Devlin also provided a recursion for the higher-order Abel equation
[TABLE]
though the calculations become somewhat intractable. Using such recursions, it was then possible to synthesize various sufficient conditions on the under which the origin was a center. This included a generalization of the composition condition of Alwash-Lloyd_87 . The latter states that a sufficient condition for a center is the existence of a differentiable function such that for some and
[TABLE]
where the are continuous functions. For a time it was conjectured that this condition was also a necessary condition for a center if certain constraints were imposed on the , for example, if they were polynomial functions of and . However, a counterexample to this claim was later given by Alwash in Alwash_89 . It is still believed, however, to be a necessary condition when the are polynomials. This is now called the composition conjecture (see Alwash_09 ; Briskin-etal_10 ; Brinskin-Yomdin_05 ; Brudnyi_10 ; Yomdin_03 and the references in the survey article Gine-etal_16 ).
Recently, the authors revisited Devlin’s method in a combinatorial Hopf algebra setting in light of the fact that the Abel equation was found to play a central role in determining the radius of convergence of feedback connected Fliess operators as shown in Figure 1 Thitsa-Gray_12 . This recursive structure is described by the feedback equation
[TABLE]
which by a suitable choice of generating series and involving an arbitrary function can be written directly in the form
[TABLE]
where . It was shown in Ebrahimi-Fard-Gray_IMRN17 that the decomposition (3) is exactly the sum of the graded components of a Hopf algebra antipode applied to the formal power series , where
[TABLE]
is the Ferfera series, that is, the generating series for solution of the equation , Ferfera_79 ; Ferfera_80 . The link is made using the Hopf algebra of output feedback which encodes the composition of iterated integrals rather than their products DuffautEFG_2014 ; Gray-Duffaut_Espinosa_SCL11 ; Gray-et-al_SCL14 . As a consequence, another algebraic structure at play in Devlin’s approach beyond the shuffle algebra is a Faà di Bruno type Hopf algebra. Now it is a standard theorem that the antipode of every connected graded Hopf algebra can be computed recursively Figueroa-Gracia-Bondia_05 ; manchon2 . This fact was exploited, for example, in the authors’ application of the output feedback Hopf algebra to compute the feedback product, a device used to compute the generating series for Fliess operator representation of the interconnection shown in Figure 1 DuffautEFG_2014 ; Gray-et-al_MTNS14 . But somewhat surprisingly it was also shown in Ebrahimi-Fard-Gray_IMRN17 that for this Hopf algebra the antipode could be computed in general using a linear recursion of Devlin type. This method has been shown empirically to be more efficient than all existing methods for computing the antipode Berlin-etal_CISS17 , which is useful in control applications Duffaut_Espinosa-Gray_ACC17 ; Gray-Duffaut_Espinosa_FdB14 ; Gray-et-al_CDC15 ; Gray-et-al_Auto14 . What was not evident, however, was how all of these ideas could be related for higher order Abel equations, i.e., equation (5) when .
The goal of this paper is to present what turns out to be the nontrivial generalization of the connection between the center problem, control theory, and combinatorial Hopf algebras for higher order Abel equations. It requires a new class of matrix-valued Fliess operators with a certain Toeplitz structure in order to provide the proper grading. In addition, a new type of multivariable output feedback Hopf algebra is needed, one which is distinct from that described in DuffautEFG_2014 ; Gray-Duffaut_Espinosa_SCL11 ; Gray-et-al_SCL14 and is more closely related to the output affine feedback Hopf algebra introduced in Gray-Ebrahimi-Fard_SIAMzz for the case with (so effectively the single-input–single-output case) to describe multiplicative output feedback. Once the picture is completed, it is possible to provide higher order extensions of some known identities for the Abel generating series, . A linear recursion for the antipode of this new Hopf algebra is also developed using coderivations. Finally, a new sufficient condition for a center is given inspired by viewing the Abel equation in terms of a feedback condition. This in turn provides another way of interpreting the composition condition.
2 Linear recursions for differentially generated series and their inverses
The starting point is to show how any formal power series whose coefficients are differentially generated by a set of analytic vector fields can be written in terms of a linear recursion, as can its inverse in a certain compositional sense. This implicitly describes a group that will be utilized in the next section to describe recursions derived from feedback systems.
Consider the set of formal power series over the set of words generated by an alphabet of noncommuting symbols . Elements of are called letters, and words over consist of finite sequences of letters, . The length of a word is denoted and is equivalent to the number of letters it contains. When viewed as a graded vector space, where and with denoting the empty word , any c\in\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle} can be uniquely decomposed into its homogeneous components with , . In particular, if is the set of all words of length , then and
[TABLE]
A series c\in\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle} is said to be differentially generated if there exists a set of analytic vector fields defined on a neighborhood of and an analytic function such that for every word in the corresponding coefficient of can be written as
[TABLE]
where the Lie derivative of with respect to is defined as the linear operator
[TABLE]
The tuple will be referred to as the generator of . It follows directly that , where and for , , with , and (8) can be rewritten as the linear recursion
[TABLE]
In this case the grading on can be encoded in the sequence , , by assigning degrees to the vector fields, namely, , .
Example 1
Suppose , , , and . Then and
[TABLE]
In which case,
[TABLE]
This is the well studied generating series of Ferfera Ferfera_79 ; Ferfera_80 .
Now suppose d\in\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle} is differentially generated, and consider the corresponding Chen–Fliess series or Fliess operator
[TABLE]
where is defined inductively for each word as an iterated integral over the controls , , by and
[TABLE]
with , . If , that is, is measurable with finite -norm, , then the analyticity of the generator for is sufficient to guarantee that the Fliess operator converges absolutely and uniformly on for sufficiently small Gray-Wang_SCL02 . Suppose next that is a family of series d_{i}\in\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle}, which are differentially generated by , and define the associated Toeplitz matrix
[TABLE]
where is the identity matrix, and is the nilpotent matrix consisting of zero entries except for a super diagonal of ones. The Toeplitz affine Fliess operator is taken to be , which can be written in expanded form as
[TABLE]
Note in particular that so that . The operator is realized by the analytic state space system
[TABLE]
where
[TABLE]
in the sense that on some neighborhood of , (10a) has a well defined solution on and on this same interval. Since the Toeplitz matrix is always invertible and Toeplitz, it follows that the inverse operator is another Toeplitz affine Fliess operator realized by the state space system
[TABLE]
so that . (Here denotes the component of .) The generating series for the inverse operator, , is differentially generated by , where with .
Example 2
For the case where , system (12) becomes
[TABLE]
In which case,
[TABLE]
where is generated by with , , , and . If coordinate functions are defined as linear maps on by
[TABLE]
and is defined as a mapping on seen as dual space of , so that
[TABLE]
then the coordinates, i.e., coefficients of the inverse series are described compactly by the following polynomials:
[TABLE]
It is not obvious in general whether the generators for the inverse series will necessarily satisfy a linear recursion of the form (9). This is contingent on whether the new vector fields are consistent with the grading on , that is, whether , . The next theorem gives a sufficient condition under which the upper triangular Toeplitz structure of in (11) guarantees this property.
Theorem 2.1
Given any Toeplitz matrix of the form (11) and a set of vector fields , with , it follows that has the property provided , .
Proof
First observe that
[TABLE]
using the fact that , . Now applying the multinomial theorem gives
[TABLE]
This means that . Therefore, since and
[TABLE]
it follows that , as required.
Example 3
Reconsider Example 2 in the particular case where so that . This is an embedding of Example 1 into the case where . The series has the generator . The system (13) reduces to the Abel system
[TABLE]
and therefore, . Using (9) with the generator for , the Abel generating series can also be written as , where and
[TABLE]
( for ). A polynomial recursion follows from proving the identity , , so that
[TABLE]
( for ). The first few of these polynomials are:
[TABLE]
Note that each consists only of words of degree . These polynomials were first identified by Devlin in Devlin_1989 . The example can be generalized to any so that
[TABLE]
and the corresponding Abel series can be computed from the recursion
[TABLE]
with and for .
It is interesting to note that the construction above has some elements in common with the Faà di Bruno Hopf algebra for the group of diffeomorphisms on satisfying , . See Figueroa-Gracia-Bondia_05 for details. First observe that (15) can also be written in terms of the Bell polynomials
[TABLE]
where , using the Faà di Bruno formula
[TABLE]
with and . Specifically, setting
[TABLE]
gives
[TABLE]
The expressions in brackets above, i.e., the ordinary Bell polynomials, are used in Brudnyi_xxBdSM to define a variation (flipped/co-opposite version) of the coproduct on (see equations (4.1)-(4.2) in this citation). A faithful representation of the group is
[TABLE]
(cf. manchonfrabetti ) and
[TABLE]
where . Therefore, defining the coordinate functions , , it follows that For example,
[TABLE]
Further observe, setting , that the antipode of can be identified from the top row of
[TABLE]
That is, using a standard expression for (see Figueroa-Gracia-Bondia_05 ), the entry in the top row of is given by
[TABLE]
The assertion to be explored in Section 4 is that this construction has deeper connections to another kind of Faà di Bruno type Hopf algebra, one that is derived from a group of Fliess operators and used to described their feedback interconnection. In fact, the compositional inverse described above corresponds to the group inverse.
3 Devlin’s polynomials and feedback recursions
It was shown in Ebrahimi-Fard-Gray_IMRN17 that the Devlin polynomials describing the Abel generating series when can be related to a certain feedback structure commonly encountered in control theory. This in turn led to a Hopf algebra interpretation of these polynomials since feedback systems have been characterized in such terms in DuffautEFG_2014 ; Gray-Duffaut_Espinosa_SCL11 ; Gray-Duffaut_Espinosa_FdB14 ; Gray-et-al_MTNS14 ; Gray-et-al_SCL14 . In this section, the generalization of the theory is given for any . This will again provide a Hopf algebra interpretation of Devlin’s polynomials as well as a shuffle formula for the Abel series which is distinct from that derived directly from the Abel equation, namely, the non-linear recursion
[TABLE]
where denotes the -th shuffle power of . Recall that consisting of all formal power series over the alphabet with coefficients in forms an unital associative -algebra under the concatenation product and an unital, commutative and associative -algebra under the shuffle product, denoted here by the shuffle symbol . The latter is the -bilinear extension of the shuffle product of two words, which is defined inductively by
[TABLE]
with for all words and letters Fliess_81 ; reutenauer . For instance, and
[TABLE]
Consider the (componentwise) multiplicative feedback interconnection shown in Figure 2 consisting of a Fliess operator in the forward path, where c\in\mbox{{\mathbb{R}}^{m}\langle\langle X\rangle\rangle}, and an matrix-valued Toeplitz Fliess operator in the feedback path. It is useful here to define a generalized unital series, , so that for all and . With , the closed-loop system shown in Figure 2 is described by
[TABLE]
and, in particular,
[TABLE]
Example 4
Suppose c_{F,m}=[c_{F},0,\ldots,0]\in\mbox{{\mathbb{R}}^{m}\langle\langle X\rangle\rangle}, where as in Example 1. In which case, is realized by the one dimensional state space model
[TABLE]
Applying the feedback (19) gives the following realization for the closed-loop system
[TABLE]
Hence, the generating series for the closed-loop system, denoted here by , has the property that
[TABLE]
This is a generalization of the result given in Ebrahimi-Fard-Gray_IMRN17 for the case.
In control theory, feedback is often described algebraically in terms of transformation groups. This approach is useful here as it will lead to an explicit way to compute the generating series of any closed-loop system as shown in Figure 2. Consider the group of Toeplitz affine Fliess operators
[TABLE]
under the operator composition
[TABLE]
which is associative and has the identity element . Strictly speaking, one should limit the definition of the group to those generating series whose corresponding Fliess operators converge. But the algebraic set up presented here carries through in general if one considers the non-convergent case in a formal sense (see Gray-Wang_MTNS08 ). The group inverse has already been described for the case where is differentially generated, i.e., by equation (12). It can be shown by other arguments to exist in general (via contractive maps on ultrametric spaces, see Gray-Ebrahimi-Fard_SIAMzz ). The group product on in turn induces a formal power series product on denoted by satisfying Given that generating series are unique and the bijection between and their associated Toeplitz matrices, this means that inherits a group structure. A right action of the group on the set of all Fliess operators , c\in\mbox{{\mathbb{R}}^{m}\langle\langle X\rangle\rangle} is given by
[TABLE]
This composition induces a second formal power series product, the mixed composition product , satisfying
[TABLE]
It can be viewed as a right action of the group on the set . This product is left linear, nonassociative, and can be computed explicitly when c\in\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle} by
[TABLE]
where , and is the continuous (in the ultrametric sense) algebra homomorphism from to {\rm End}(\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle}) uniquely specified by with
[TABLE]
for any e\in\mbox{{\mathbb{R}}\langle\langle X\rangle\rangle}, and where denotes the identity map on . For any the product is extended componentwise such that
[TABLE]
for all and . The following pre-Lie product results from the right linearization of the mixed composition product
[TABLE]
with . In which case, . In particular, it can be shown directly that
[TABLE]
where the shuffle product on matrix-valued series is defined componentwise. Another useful composition product is the (unmixed) composition product induced simply by .
With these various formal power series products defined, it is now possible to give a general formula for the feedback product describing the generating series for the interconnected system in Figure 2. The following lemma is needed.
Lemma 1
The set \mathcal{G}_{{\scriptscriptstyle\;\sqcup\sqcup\;}}:=\{c\in\mbox{{\mathbb{R}}^{m\times m}\langle\langle X\rangle\rangle}:\langle c,\mathrm{e}\rangle\in Gl_{m}({\mathbb{R}})\} is a group under the shuffle product with the identity element being the constant series , and the inverse of any is
[TABLE]
where is proper (i.e, ), and .
Theorem 3.1
For any c\in\mbox{{\mathbb{R}}^{m}\langle\langle X\rangle\rangle} and d\in\mbox{{\mathbb{R}}^{m-1}\langle\langle X\rangle\rangle} it follows that .
Proof
The feedback law requires that . From Lemma 1 it follows that
[TABLE]
As the latter is now a group element in , one can write
[TABLE]
Making this substitution for into and writing the result in terms of the group action gives
[TABLE]
As generating series are known to be unique, the theorem is proved.
Corollary 1
The feedback product satisfies the fixed point equation .
Proof
Observe that . So if then necessarily
[TABLE]
The uniqueness of generating series then proves the claim.
The tools above are now applied to compute the feedback product in (20). This will in turn render identities satisfied by the Abel series. The following lemma is useful.
Lemma 2
If in (11) , for some then .
Proof
Given that observe
[TABLE]
since when .
Theorem 3.2
For any , .
Proof
Starting from the formula in Theorem 3.1 for the feedback product with and and using the definition of the shuffle inverse in Lemma 1, observe that
[TABLE]
Now note that if in Lemma 2 is identified with then . So the shuffle version of the identity in this lemma is . In which case, Next, in light of (20) and (23), it is clear that as claimed.
Example 5
Consider evaluating when . In this case
[TABLE]
where
[TABLE]
with and . Using (14) to compute the inverses gives
[TABLE]
Therefore, , which from (17) should be . Similarly, , so that
[TABLE]
which is also equivalent to as expected.
Theorem 3.3
For any
[TABLE]
Proof
Applying Corollary 1, Theorem 3.2, and the fact that the mixed composition product distributes to the left over the shuffle product gives
[TABLE]
Hence, the identity in question then follows directly.
Theorem 3.3 was first observed in functional form for the case in Lijun-Yun_01 (see equation (2.3)). In fact, one of the main results of this paper (Theorem 4.1) is actually just a graded version of this result as described next.
Corollary 2
For any
[TABLE]
Example 6
When observe Therefore, if then
[TABLE]
Defining , gives the recursion
[TABLE]
The case of this recursion appears in Lijun-Yun_01 as equation (1.7).
The final theorem will be generalized in Section 5 to provide a sufficient condition for a center of the Abel equation.
Theorem 3.4
Let and be fixed. Then the degree Abel equation (5) with has the solution
[TABLE]
if there exists functions satisfying
[TABLE]
with on .
Proof
In light of Theorem 3.2, it is clear that and thus, So assume there exists such that
[TABLE]
Then, observing that , it follows from (21) that
[TABLE]
In the next section a Hopf algebra structure is defined on the coordinate functions.
4 Multivariable Hopf algebra for Toeplitz multiplicative output feedback
All algebraic structures considered in this section are over the field of characteristic zero. Let be a finite alphabet with letters. Each letter has an integer degree . The monoid of words is denoted by and includes the empty word for which . The degree of a word of length is defined by
[TABLE]
Here denotes the number of times the letter appears in the word .
Consider the polynomial algebra generated by the coordinate functions , where and the so called root index , . By defining the degree
[TABLE]
becomes a graded connected algebra, , and . The unit in is denoted by , and , whereas .
The left- and right-shift maps, respectively , for , are taken to be
[TABLE]
with . On products in both these maps act as derivations
[TABLE]
and analogously for . For a word
[TABLE]
Hence, any element with can be written
[TABLE]
In the following it will be shown how can be employed to define a coproduct . First, for the coordinate functions with respect to the empty word, , , the coproduct is defined to be
[TABLE]
Note that is by definition primitive, i.e., . The next step is to define on any with and by specifying intertwining relations between the maps and the coproduct
[TABLE]
The map is defined by
[TABLE]
The following notation is used, , where
[TABLE]
and for . In this setting, is primitive since
[TABLE]
which follows from . The coproduct of is
[TABLE]
The coproduct of a general is
[TABLE]
Observe that the grading is preserved. A few examples may be helpful
[TABLE]
where is the reduced coproduct. For the element one finds the following coproduct
[TABLE]
The general formula for words of length two is
[TABLE]
The coproduct is then extended multiplicatively to all of and .
Theorem 4.1
* is a connected graded commutative non-cocommutative Hopf algebra with unit map , counit and coproduct *
[TABLE]
Proof
is connected graded and commutative by construction. In addition, it is clear that the coproduct is non-cocommutative. What is left to be shown is coassociativity. This is done by first proving the claim for , which follows from the identity
[TABLE]
From it follows that
[TABLE]
As noted above, the last sum can be rewritten as
[TABLE]
so that
[TABLE]
The following was also used in the calculation above
[TABLE]
which follows from together with the multiplicativity of .
In the following, a variant of Sweedler’s notation Sweedler_69 is used for the reduced coproduct, i.e., , as well as for the full coproduct
[TABLE]
Connectedness of implies for the antipode the well known recursions
[TABLE]
A few examples are given first. Coproduct (24) implies for the elements that
[TABLE]
For example,
[TABLE]
The following examples are given for comparison with (14):
[TABLE]
The next theorem uses the coproduct formula (25) to provide a simple formula for the antipode of .
Theorem 4.2
For any nonempty word , the antipode can be written as
[TABLE]
where with
[TABLE]
For instance, calculating
[TABLE]
which coincides with . Another example is
[TABLE]
Proof
The proof follows by a nested induction using the weight of the root index and word length. First, formula (30) is shown to hold for words of length one. Note that the recursions (28) can be written in terms of the convolution product, i.e., , which is defined in terms of the coproduct (27)
[TABLE]
Here denotes the product in and is the projector that maps the unit 1 in to zero and reduces to the identity on . Formula (30) applied to gives
[TABLE]
where (29) was used. This coincides with
[TABLE]
Now (30) applied to gives
[TABLE]
Using the induction hypothesis on the last term, namely, , gives
[TABLE]
This coincides with the antipode computed via the coproduct in (26) since
[TABLE]
Now suppose (30) holds for all words up to length . The final step is to consider , where , i.e., , and . Observe
[TABLE]
The third equality above came from that fact the is a sum of derivations. The fourth equality is a consequence of the identity . The step from the fourth to the fifth equality used the induction hypothesis to get , which holds due to the projector being on the left-hand side. In addition, the following identity was used:
[TABLE]
which holds due to being an algebra morphism.
The final result is evident from the fact that the feedback structures in Figures 1 and 2 coincide when condition (19) holds with .
Corollary 3
For the alphabet the Hopf algebra coincides with the Faà di Bruno-type Hopf algebra for single-input, single-output (SISO) output feedback given in Foissy_13 ; Gray-Duffaut_Espinosa_SCL11 ; Gray-Duffaut_Espinosa_FdB14 .
5 Sufficient condition for a center of the Abel equation
Consider first a new sufficient condition for a center inspired by viewing the Abel equation in terms of a feedback connection as described in Section 3.
Theorem 5.1
Let and be fixed. Then the degree Abel equation (5) has a center at if there exists an such that for every the system of equations
[TABLE]
has a solution with on the interval and .
Proof
The claim is proved by showing that if the system (31) has the solution , ,…, then the Abel equation (5) with has the solution
[TABLE]
In which case, for all so that is a center.
Consider the case where for simplicity. The proposed solution for (5) can be checked by direct substitution. That is,
[TABLE]
so that
[TABLE]
as expected.
Recall it was shown in Theorem 3.4 where that . So for sufficiently small and given any the solution to equation (5) with can be written in the form
[TABLE]
So letting , the composition condition (6) ensures periodic solutions because
[TABLE]
using the fact that for all . Put another way, the composition condition gives periodic solutions by simply ensuring that for every nonempty word . In which case, it is immediate from the shuffle identity that the moment conditions with respect to
[TABLE]
are satisfied. It is known for polynomial , however, that the moment conditions do not imply the composition condition Gine-etal_16 . The following theorem indicates a condition under which the two conditions are satisfied with respect to the functions.
Theorem 5.2
Suppose the satisfy the composition condition. Let be any solution to (31) with on the interval . Then the composition condition and the moment conditions with respect to the are equivalent.
Proof
Integrating both sides of (31) over gives
[TABLE]
for with . Therefore, if the satisfy the composition condition then the left-hand side of this equation is zero. In which case, the claim follows immediately.
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