We consider the discretization
a small parameter, of the pendulum equation ; in system form, we have the discretization
of the system
The latter system of ordinary differential equations has two saddle points at , and near both, there exist stable and unstable manifolds. It also admits a heteroclinic orbit connecting the stationary points B and A parametrized by and which contains the stable manifold of this system at A as well as its unstable manifold at B. We prove that the stable manifold of the point A and the unstable manifold of the point B do not coincide for the discretization. More precisely, we show that the vertical distance between these two manifolds is exponentially small but not zero and in particular we give an asymptotic estimate of this distance. For this purpose we use a method adapted from the article of Schäfke and Volkmer [J. Reine Angew. Math.425 (1992), 9–60] using formal series and accurate estimates of the coefficients. Our result is a variant of the results of Gelfreich [Comm. Math. Phys.201 (1999), 155–216], Lazutkin et al. [Physica D40 (1989), 235–248] for the pendulum problem and our method of proof, however, is quite different. This method will be useful for other problems of this type.
We consider the following difference equation
where ε is a small parameter. This second-order equation is a discretization of the pendulum equation . It is equivalent to the following system of first-order difference equations
which can be considered as a discretization of the system
The latter system has centers at and saddle points at , . We focus on the saddle points , and their associated stable and unstable manifolds. For the discretized Eq. (1.2) and sufficiently small , these manifolds still exist.
The system (1.3) has , where , as a heteroclinic orbit connecting the stationary points B and A; it is a parametrization of the curve and contains the stable manifold of (1.3) at the point A as well as its unstable manifold at B. This curve, together with , separates regions with periodic orbits from regions with non-periodic orbits and is therefore often called a separatrix. Our purpose is to study the behavior of this separatrix under discretization of the equation – it turns out that there is no longer a heteroclinic orbit for system (1.2) and the stable manifold at A and the unstable manifold at B no longer coincide. This already follows from a general theorem due to Ushiki [10] which states that a system like (1.2) cannot have analytic invariant curves connecting two stationary points. Our aim is a more quantitative result: we want to estimate the distance between the stable manifold of (1.2) at A and the unstable manifold of (1.2) at B as a function of the parameter ε.
Lazutkin et al. [5], Gelfreich [2] (see also Lazutkin [3,4]) had given an asymptotic estimate of the splitting angle between the manifolds. In [6] Sauzin had studied the parametric resurgence of the problem, whereas in our work, we use an asymptotic approximation of the coefficients of the formal solution following the method of [7]. Starting from a heteroclinic solution of the differential equation, they study the behavior of analytic solutions of the difference equation in the neighbourhood of its singularities .
We show that the distance between these two manifolds is exponentially small but not zero and we give an asymptotic estimate of this distance. Our result is a variant of the results of Gelfreich [2], Lazutkin et al. [5] for the pendulum problem; our method of proof, however, is quite different.
The basic idea used in this paper is to read the exponentially small informations in the asymptotic series. The advantage is that we use only information provided by the formal solutions and nothing else. We use a method adapted from the article of Schäfke and Volkmer [7] using a formal power series solution and accurate estimates of the coefficients. It turns out that the adaptation of this method for the pendulum equation is more difficult than in the case of the logistic equation that we treated in Sellama [8].
For any positive , it is known that for sufficiently small and all there is exactly one point on the stable manifold having first coordinate . We will show the following result.
There exists a constant, such that for any positiveuniformly for, wheredenotes the vertical distance of a point P from the unstable manifolds.
This result can be improved to obtain more terms with the same techniques. It corresponds to the result of Lazutkin et al. [5], Gelfreich [2] as the angle between the manifolds at an intersection point is asymptotically equivalent to
but we do not want to give any detail here.
Our proof uses the following steps. First, we construct a formal solution for the difference Eq. (1.1) in the form of a power series in , whose coefficients are polynomials in . This is done in Section 2; the introduction of d is necessary because polynomials are desired as coefficients. Then, we give asymptotic approximations of these coefficients using appropriate norms on spaces of polynomials. To that purpose we introduce operators on polynomials series. In Section 6 we use the truncated Laplace transform to construct a function which satisfies (1.1) except for an exponentially small error. The next and last step is to give an asymptotic estimate for the distance of some point of the stable manifold from the unstable manifold. A calculation shows that and therefore (see Remark 5.4); the corresponding constants of Lazutkin have already been calculated with high precision (see Lazutkin et al. [5]). Suris [9] had shown that . The formal series of Section 2 are the same as the formal series of Gelfreich [2], except for a trivial change in notation.
Formal solutions
The purpose of this section is to find a convenient formal solution for Eq. (1.1). First, we need some preparations. We put
for a formal solution of (1.1), where is a formal powers series in ε to be determined.
The linearization of Eq. (1.1) at the point A gives the following equation
The parameter d is such that is a solution of this equation. It can be written as , where λ is the multiplier of the fixed point.
By Taylor expansion, we obtain
where is an odd polynomial multiplied by ; we find .
Using , , we can express our Eq. (1.1) in the form
or equivalently
where
As , the expressions and reduce to 1, the denominators in (2.3) simplify to and hence Eq. (2.3) reduces to
Therefore,
Because , this is equivalent to and hence we necessarily have if we want a formal solution such that the coefficients have limits as .
(On the formal solution).
If, then Eq.(2.2) has a unique formal solution of the formwhereare odd polynomials of degree.
A similar formal solution was found using another method in [9].
We will use the induction principle to show that there exist unique odd polynomials such that
satisfy
where
For , a short calculation shows that we must have and hence . We obtain
Suppose now that there exist such that
satisfies (2.6), (2.7). We show that there is a unique polynomial such that
satisfies (2.6). We put
where is odd and .
We substitute in Eq. (2.7). Using Taylor expansion, (2.9), (2.10) and , we obtain
We notice that (2.10) is satisfied if and only if
This differential equation has a unique solution vanishing at without singularity at , namely
We now show that this solution is an odd polynomial of u. It is clear that vanishes for and as is odd, it also vanishes for . It suffices to show that also vanishes at . Indeed, taking the limit of (2.7) as as we did for (2.3) and using
we obtain
By our choice of , we obtain . Consequently . As is odd, we also have . This proves that is an odd polynomial of degree at most . □
The first polynomials with can be calculated using Maple (see Table 1).
The first coefficients of the formal solution
n
1
2
3
Now, we introduce the operators , , , defined by
where , and is a formal power series in d whose coefficients are polynomials. We can easily prove that
and
if Q, G are formal power series in d whose coefficients are polynomials of u.
Norms for polynomials and basis
In this section we recall some definitions and results of [7]. Using a certain sequence of polynomials, we define convenient norms on spaces of polynomials which satisfy some useful proprieties. We denote by
the set of all polynomial whose coefficients are complex,
the space of all polynomials of degree less than or equal to n.
Let n, m be positive integers and,. The norms (3.1) have the following properties:
.
If the constant term of p in the basisis zero, we have
There exists a constantsuch that, for all n, m,.
There is a constantsuch that for all,().
There is a constantsuch that for allwith
Operators
In this section we will use some definitions of Schäfke and Volkmer [7] and adapt their results on operators on polynomial series to our context. Let
By abuse of notation, let for a polynomial series
Let be a formal power series of z whose coefficients are complex. We define the linear operator on by
By the above definition and (1) of Proposition 3.1 we can show that
Thus with (2.14) and (1) of Proposition 3.1 we obtain
for polynomial series Q in .
According to the definition of norms in (3.1), we have
Letbe formal power series having a radius of convergence greater thanand let k be a positive integer. There is a constant K such that: If Q is a polynomial series having the following propertywhere M is independent of n andthen the polynomial seriessatisfies
The proof of this theorem is completely analogous to that of [7]. □
Now we define on the following operator
Because , the notation simply means with .
For each integer k there exist a positive constant K such that: If Q is a polynomial series with oddof degree at most n,forin case of positive k andwhere M is independent of n, then the polynomial seriessatisfies
We can see easily that , where and is analytic for , and use the proof of [7]. □
We have , but using this relation for the inversion of would give an insufficient result. Using the formula
is an entire function, we obtain the relation
for polynomial series . This will be essential in the proof of the following theorem.
For each integer k there exists a positive constant K such that: If Q is a polynomial series with oddof degree at most n,forin case of positive k, andwhere M is independent of n, then the polynomial series Q satisfies
By the preceding theorem, we have the wanted inequalities for in the place of Q. Here we used again for any polynomial series . Using Theorem 4.2 implies the same for with the entire function F of (4.5). As by Theorem 3.3, we find the wanted inequalities (and even something better in the cases ) also for because . Thus formula (4.5) yields the result. □
In order to obtain an asymptotic approximation for the coefficients of the formal solution, we will need to reverse some operators. This is not possible for the operators and on the set , but we can define a subset of on which these operators have a right inverses.
If we define
where is the subspace of defined by
Then, the restrictions of the operators , on , denoted here by the same symbols
are bijective. We denote by the inverse of the restriction of to , and we have
([7]).
Letwhereaswith some integer.
If we consider a polynomial seriesthen the coefficientsofsatisfyasfor n.
The proof of this theorem is completely analogous to that of [7]. □
Let k, l, p, q be integers withand. Define m as the minimum ofand. Then there is a constant K with the following property:
If P and Q are polynomial series such thatfor,forandthen
Observe that the results of this section can also be applied, if the constants M are replaced by any increasing sequence . In Theorems 4.2 and 4.6 the first n terms of the resulting polynomial series only depend on the first n terms of the given series, so the “M” in the result simply has to be replaced by “”. In Lemma 4.3 and Theorem 4.4, the first n terms of the result depend of the first given terms, so “M” in the result has to be replaced by “”.
Asymptotic approximation of the coefficients of the formal solution
In this section we will estimate the coefficients of the formal solution obtained previously (Section 2). The idea is to write Eq. (2.2) essentially in the form
where V, and are known polynomials of d and u, and g is a certain function of d, u and A involving the operators , and multiplied by sufficiently high powers of d.
Thanks to this equation, we will estimate the coefficients of the formal solution using the results of the previous section. We show that the coefficients of this formal solution is Gevrey-1, more precisely .
Rewriting of Eq. (2.2)
Consider the decomposition
where U is the initial part of A calculated before
We insert this into (2.3), with (2.14) and (2.15), and obtain
where
Observe that has the form
where , are convergent polynomial series.
Now, we let
where G is a formal power series whose first term contains and
The choice of and depends in a precise way of the form of Eq. (5.1) and has been determined using Maple.
Using (5.5), (5.6) and (2.15), we can rewrite Eq. (5.3) in the form
Using (2.14), we obtain
where ,
The calculation of the first terms of the series by Maple shows that the convergent polynomial series begins with a term containing .
Using (5.5) and (2.15), we find
Using
we obtain
where and are convergent polynomial series beginning with . With (5.7) and (5.9), this implies
This allows us to prove the following theorem.
We havewhere α, β, δ are constants and the polynomial series,,, S are defined byandis a polynomial series satisfying
To prove this theorem we need to estimate the coefficients of the polynomial series . This will be the subject of the following paragraph.
Observe that the series F, G are odd in u, even in d and beginning with . The series J is even in u, odd in d and begins with . In the series F, G, A, J, the degree of the polynomial that is the coefficient of is at most . Thus the results of Section 4 can still be applied and .
Upper bounds for the coefficients of
In this subsection, we will use Eq. (5.10), together with the definitions of and , J and G, , , to prove the following lemma.
We set
We must show that . In the sequel, we will use the following convention: if , is any sequence of positive real numbers, then
We have
Using Theorem 4.4 and Remark 4.7, we obtain
where denotes the constant associated with the operator in Theorem 4.4; it is independent of the present context. In this proof, , , will always denote constants independent of n and the sequence .
Using (5.5), we obtain
We use (5) of Theorem 3.3 and Theorem 4.6. Since is a convergent power series beginning with 1, there is a constant such that
Using again Theorem 4.4 (and Remark 4.7) and the fact that where Q is given in (5.6), we obtain
where is a constant independent of n.
This, together with Theorem 4.6, implies that there are constants , L such that for all
where
with for .
Let be an arbitrary number. We assume that
with some , . This gives for
The first and last term of the above sum are the largest, so we can easily estimate
We obtain
In a similar way, we prove by induction that
Using the assumption of the lemma, we obtain
Now we choose so large that and then p so large that (5.27) holds for . In a first step, our considerations imply by induction over N that (5.27) holds for all N and hence
for this possibly large value of p.
As is arbitrary in (5.27), we have also shown for any that
implies that
Consequently the last assertion is proved for and we have shown
Finally we have proved that
and hence that
which completes the proof of the lemma. □
Proof of Theorem 5.1
Let . The polynomial series E is odd in d and its coefficients are odd in u. We partition it
for odd , where , and are real numbers and also have at most degree n for all n. For the whole series E this is equivalent to
where
Lemma 5.2 implies that
Applying to (5.29) we obtain
To the first three summands we apply Theorem 4.5. Thus we obtain
where
To the last part of (5.30) we apply Theorem 4.4 and obtain
thus altogether
Using (4.3) we obtain
The asymptotic of gives a good approximation of α; it suffices to calculate, using a formal calculation software (for example, PARI), the first terms of by the recursion of Section 2 and to evaluate the highest coefficients of to get the approximation .
Next we observe that , where is given in (5.6). Using part (5) of Theorem 3.3, we obtain
where
Observe that the approximation (5.31) of the coefficients is polynomial. Indeed, the polynomials , are divisible by .
In order to find an asymptotic estimation for the coefficients of the formal solution, we need to apply the inverse of operator . To this purpose, we show the following lemma.
Let,,be the polynomial series in (5.12) and define the operator. Then
the polynomial series,are convergent,
the polynomial series,are convergent,
, whereis a convergent series,
, whereandis a convergent series,
, whereis a convergent series,
, whereis a convergent series,
, whereis a convergent series.
(1) We have
Using the definition of the operator D in Proposition 3.1, we obtain
where
Hence
Using
we find
which implies
This with (5.32) imply that is convergent. For , we use the same method.
(2) As , where , we obtain using (1),
This implies that is convergent. For , we use the same method.
(3) We have . This with (1) imply
where is a convergent series.
(4) We differentiate the equation with respect to d. As
we obtain
Using (3) of this lemma, we obtain
where is a convergent series.
(5) Using (2.15) and (2), (3) of this lemma we obtain
This implies
where , are convergent series.
(6) The proof of (6) is similar to that of (5).
(7) Using (4) and (6), we obtain
where is a convergent series. This completes the proof of the lemma. □
Using the definition of in (5.12) and (5.31), we can rewrite in the form
where
Using (2) and (5) of the previous lemma and applying also the inverse of the operator in (5.33), we obtain
where δ is a constant and
with . In the expression of , the term comes from the fact that the series X can be written
where
If we apply Theorem 4.5 to the series and Theorem 4.4 to , the term appears in the expression of .
Since , we obtain
where .
Observe that in , the degree of the coefficients of exceeds n. This is due to the fact that the expressions etc., which are of degree , were split.
It is not necessary (but would not be difficult) to write down asymptotic approximations for the coefficients of F, because Eqs (5.5) and (5.3) can be used. This completes the proof of Theorem 5.1. □
Functions and quasi-solutions
So far, we have shown that Eq. (2.2) has a formal solution and we have found an asymptotic approximation of the coefficients of the formal solution. We will use this to construct a quasi-solution, i.e. a function that satisfies Eq. (2.2) except for some exponentially small error. To that purpose, we define the functions
and
This means that
Using part (4) of Proposition 3.1, we obtain
where .
Seeing this as the difference of two Taylor expansions, we can write
Similarly,
or equivalently
For fixed real u the functions , , are analytic in , where , because the singularities of tanh are , n integer. The functional equations for the trigonometric and hyperbolic functions imply that
In the subsequent definition, we consider real values of u, , here , , are also analytic with respect to t on the positive real axis.
We define the functions , , by
We have
Indeed
The functions are real analytic; they can be continued analytically to the interval in the following way. Choose some positive number M and let the path consisting of the segment from 0 to and of the ray , . Let be the symmetric path that could also be obtained using instead of M. Recalling (6.6), we can also define
where
for . As M is arbitrary, this defines the analytic continuation of for . Similarly, the real analytic continuations of , , are defined.
In the sequel, we use the operator , also for functions.
Consider the functions,, defined in (6.9). Then, for:
For,where,are defined in (2.13) and the functions,, are analytic, beginning with, respectively.
For,, where the functions,, are analytic, beginning with, respectively.
For,, where the functions,, are analytic, beginning with, respectively.
, whereis a analytic function, beginning with.
, where the functionis analytic, beginning with.
(1) For we replace u by in (6.6). Using (6.10) and , we obtain for
where
If we substitute in the first part, in the second part we obtain
Now, we apply Cauchy’s theorem
Substituting in the second part, in the third part, we obtain
With (6.12) this implies for
where
By real analytic continuation, this formula is valid for . We use the same method for , and obtain for
where
(2) Using the definition of the operator in (2.13) and (1) of this lemma, the result is immediate.
(3) The proof of (3) is similar to that of (2).
(4) For , we differentiate (6.11) with respect to d. Using the fact that
and
we obtain
This implies
where is an analytic function beginning with .
(5) Using (2.15) and (2), (3) of previous lemma, we obtain
where the function is analytic, beginning with . This completes the proof of Lemma 6.1. □
In the sequel we consider .
We have
Uniformly for,
For,for().
The proof of this proposition is similar to that of [8].
With the aim of applying the results of [7], we consider , where is the remainder term in (5.38). Then , n is a sequence of polynomials of degree at most n and
r is continuously differentiable function on the set B of allsuch that u satisfiesand t is a complex number and satisfiesor. The restriction of r to,is twice continuously differentiable, for fixedthe functionis analytic in,
is continuous, partially differentiable with respect to u, has continuous partial derivative and
,for().
The importance of our definition of lies in a certain compatibility with insertion of the functions , for u. First let
We obtain new sequences , of polynomials of degree at most n. This follows from the relation
Theorem 4.2 implies
Therefore we can use the previous lemma for , and obtain functions , .
There is a positive constant K independent of d, u such that
Ifhas property G thenwith some constantindependent of u.
(1) Consider first the case . We have two subcases:
If , we have
where
has a logarithmic singularity at for , . It is analytic in and exists.
If we put
where
then has property G and
For , where , we have
where . For , this formula coincides with the formula
and extends it by real analytic continuation for .
This implies
we obtain
where Γ is the path following the real line from infinity to , then along the vertical line from to and finally along the line from to infinity.
Because is bounded on Γ, we have
where K is a positive constant. Finally
For we use the same method.
For , we use the same method with
where
(2) We assume that , have property G and their first terms in the Taylor development at begin with , . Then
where , are analytic in and , . Hence we have
The function can be written
For , the function is k times differentiable with respect to t and
Observe that is continuous on and analytic for . If we put
then
has property G and
where has property G.
For , the proof of (3), (4), (5) and (6) is exactly the one of [7]. This proof is valid for .
Now we have a formal solution of Eq. (2.2) and an asymptotic estimate for its coefficients. With the results on the functions in the beginning of this section, we have enough information to give a precise function which satisfies Eq. (2.2) with an exponentially small error as .
In Theorem 2.1 we found that (2.2) has a uniquely determined formal power series solution
where U, Q are defined in (5.2), (5.6) and G is given by (5.38). This suggests that we put
for , , where , are defined in (6.9) and is the function corresponding to , , according to Lemma 6.3. Using (1) of Proposition 6.2 and (2) of Lemma 6.3, we obtain
Consequently
The functionsatisfies (5.10) except for an exponentially small error. More precisely, there existssuch thatuniformly for,.
In the proof of this theorem, the functions , have property G.
We set
Using (2), (4), (5) of Lemma 6.1, and (6.23), we obtain
where has property G and
This with Lemma 6.1 imply
where , have property G. Because
it is sufficient to apply Theorem 6.4, (4) of Lemma 6.6 for and (1) of Lemma 6.6 for . Then we obtain
where has property G. With (1) of Lemma 6.6, this implies
Using the same method for the terms , and , we obtain
To study the term , we first treat and ,
Using (1), (2) and (4) of Lemma 6.6 we obtain
With (2) of Lemma 6.6, this implies
We can rewrite
where , and , are analytic. □
For,whereis analytic inand continuous inand.
Using (6.31), we can rewrite
where is analytic in , continuous in and . We obtain
where
and are entire functions.
Using the proof of Theorem 5.1 from [1], we find
where the series
is uniformly convergent to a function analytic in and continuous in and , which also satisfies
Then
where , have property G.
This lemma with (6.33) and (2) of Lemma 6.6 imply
Combining (6.28), (6.29) and (6.36), we find
where has property G and
Hence
where is analytic in , is continuous on and , has a limit as for every and satisfies
with a constant K independent of u. If is the power series of near , Watson’s lemma with (6.37) imply
On the other hand because of its definition
since the formal series G satisfies (5.10). This means that all . Thus we obtain for with (6.38)
and thus
We have proved that
for , , i.e. is a quasi-solution of (5.10) on this interval. This implies that the function defined in (6.23) is a quasi-solution of (2.2). More precisely
Distance between points of manifolds
Clearly, if is an exact solution of the difference Eq. (1.1), then , where , is an exact solution of system (1.2). In the Introduction, we have mentioned that the stable manifold of this system at is parametrized by and the unstable manifold of (1.2) at is parametrized by , where is an exact solution of (1.2) and , .
In the previous section, we have constructed a quasi-solution for Eq. (2.2), i.e. it satisfies this equation with an exponentially small error. We denote by , the manifolds close to respectively parametrized by respectively , where and , , . Here and in the sequel, we often omit to indicate the dependence with respect to ε for the sake of simplicity of notation.
We will first show that the vertical distance between some point of the stable manifold and the manifold is exponentially small. For this purpose, we consider the sequence on the stable manifold , defined by
There is a sequence such that
The vertical projection of the point on the manifold is the point , where for . Let denote the vertical distance between the point and the manifold . Then
For the ϕ-image of the point on , we find
As the function satisfies Eq. (1.1) except for an exponentially small error because of (6.39) and (7.2), we have
where with some K independent of ε and n. Since , we have
On the other hand, using (7.3) and the definition of ϕ, we obtain
With (7.3) and (7.6) this implies
Using Taylor expansion we obtain
where .
Now g is analytic and ε-close to the curve , hence
Thus given any positive , there is a positive constant c such that for all , all n and sufficiently small d,
It is now convenient to write (7.8) in the form
As as , this implies that there is a positive constant K such that
Consequently
In particular
where is any point on the stable manifold , provided ; here denotes the vertical distance.
The estimate (7.10) can be extended to any and a starting point with in the following way. The relation (7.8) remains valid, except that now we just have the existence of some constant such that for all n. As system (1.2) can be regarded as a one-step numerical method for the system (1.3) of differential equations and the starting point is at a distance of its solution , results on the convergence of one-step methods can be applied and yield that , where , uniformly for integer k, , where L is any positive constant. We choose L such . Repeated application of (7.8) now gives
To the quantity , inequality (7.9) can be applied, because . Thus (7.9) and hence also (7.10) remain valid also uniformly for , provided .
The analogous reasoning applies to the vertical distance of a point on the unstable manifold from the manifold and yields
Another method to obtain (7.11) consists in using (7.10) and symmetry.
Now we will estimate the vertical distance between the two manifolds and . As the quasi-solution is defined for , we can define
Using (7.12) and the definition of we find
With (5.5) and (6.23) this implies
where is defined in (5.6), , are defined in (6.27) and are defined in (6.9) and can be continued analytically to as in (6.10).
Using the fact that the functions , , in (6.9) are odd, we can apply the residue theorem and obtain for that
where for . We obtain
and hence
where
As a consequence of (7.15) and (7.12), we obtain immediately that
Now, let us take a point on the manifold . We suppose that the point is its vertical projection on the manifold . We will evaluate the vertical distance between these two points
where . Thus by (7.13)
Using Taylor expansion, we find
where . Here
As , this yields
Now formula (7.15) applies and we obtain
where
With (7.23) and (7.22) this implies
Consequently, for
Combining this result with (7.10) and (7.11), we finally obtain our main result Theorem 1.1, because uniformly with respect to t on any finite interval.
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