Abstract
In this study, we consider the asymptotic behaviour of the first discrete Painlevé equation in the limit as the independent variable becomes large. Using an asymptotic series expansion, we identify two types of solutions which are pole-free within some sector of the complex plane containing the positive real axis. Using exponential asymptotic techniques, we determine Stokes phenomena effects present within these solutions, and hence the regions in which the asymptotic series expression is valid. From a careful analysis of the switching behaviour across Stokes lines, we find that the first type of solution is uniquely defined, while the second type contains two free parameters, and that the region of validity may be extended for appropriate choice of these parameters.
1. Introduction
We consider the asymptotic limit of the first discrete Painlevé equation (dPI)
Equation (1.1) tends to PI in the scaling limit wn=1−h(2y(x)−c/2), , with α=h3/2a, β=−γ+3+h2b, γ=6+hc, as . PI is one of the six Painlevé equations which play a key role in a range of physical problems, in particular arising as universal models in reductions of the nonlinear Schrödinger equation [7], the Korteweg–de Vries equation [8,9] and the Boussinesq equation [10], and appear as models in such diverse fields as statistical mechanics [11], nonlinear optics [12], electrochemistry [13] and plasma physics [8]. The first discrete Painlevé equation also arises in physical applications, such as the study of quantum gravity [14,15].
Motivated by these applications, the study of the Painlevé equations in asymptotic limits has been widely pursued. However, the corresponding study of discrete Painlevé equations remains sparse. In this paper, we apply techniques of exponential asymptotics for differential-difference and difference equations developed by King & Chapman [16] in their analysis of the Frenkel–Kontorova model for atomic lattices to dPI, in order to obtain asymptotic approximations which are accurate up to exponentially small correction terms.
We note that there have been some previous investigations into exponential asymptotics for difference equations, such as that of [17,18]. The study by Olde Daalhuis [17] performed a Borel-plane analysis to consider the behaviour of second-order linear difference equations and to determine exponentially improved solutions in terms of an inverse factorial series. In fact, these Borel-plane methods could be applied to the current investigation, and controlled error estimates for the asymptotics could be obtained in this fashion. The primary reason for using the Stokes-smoothing technique described in [16] is that the analysis may be performed directly on the nonlinear difference equation, rather than requiring the solution to be formulated in terms of an integral expression; this feature permits the analysis to be easily extended to a wide range of more complicated problems.
(a) Background
The asymptotic behaviour of solutions to the Painlevé equations was studied by Boutroux [19], who considered the behaviour of the first Painlevé equation (PI),
(b) Discrete Painlevé equations
In this study, we are interested in the asymptotic behaviour of solutions of the first discrete Painlevé equation. The discrete Painlevé equations are a set of integrable nonlinear difference equations, which tend to the ordinary Painlevé equations when the continuum limit is taken.
The discrete Painlevé equations first appeared in the study of solutions to the continuous Painlevé equations. It was discovered that these equations possess Bäcklund transformations, which map one solution to another solution with different parameter values, or even to a solution of a different Painlevé equation (e.g. [10,24]). These transformations have been used to construct hierarchies of solutions to the Painlevé equations, often in terms of rational or special functions.
It was noted by Fokas et al. [14,15] that dPI arises in the study of Bäcklund transformations associated with the fourth Painlevé equation (PIV). This equation has two parameters, a and b, and is given by
The first discrete Painlevé equation has also featured in the study of problems arising outside of the field of integrable systems, particularly relating to the study of orthogonal and orthonormal polynomials [2,3]. A set of orthonormal polynomials pn(x), where n≥0, is defined with respect to some weight function w(x) as satisfying
In recent decades, however, discrete integrable systems such as dPI have become an object of study in themselves. In part, this is due to these equations being convenient examples of nonlinear difference equations which, due to their integrability, are more tractable than many equations within this class. Hence, they provide a useful testing ground for mathematical techniques intended for wider applicability.
The primary motivation for studying these equations, however, is to better understand their solutions. These equations are important discretizations of the continuous Painlevé equations; their particular significance is due to the fact that they retain the integrability property upon discretization. They arise as independent entities in applications and possess interesting solutions, whose properties permit us to understand the behaviour of classes of functions, such as the orthonormal polynomials described above. While addressing such questions about all solutions lies beyond the scope of the present study, it motivates our interest in understanding the asymptotic behaviour of the discrete Painlevé equations.
(c) Exponential asymptotics and Stokes lines
The formal series we study in this paper are shown to be divergent (see §2) and contain exponentially small terms that are invisible to conventional asymptotic approaches. The central idea of exponential asymptotic methods is that a divergent asymptotic series, when truncated optimally, produces an error term that is exponentially small in the asymptotic limit [26]. The problem may then be rescaled to directly determine the behaviour of this remainder term, allowing the exponentially small component of the solution to be determined separately to the asymptotic series itself. This idea was introduced by Berry [27–29] and Berry & Howls [30], who used these methods to determine the behaviour of special functions such as the Airy function.
As we uncover this exponentially small behaviour, we will discover two varieties of important curves, identified originally by Stokes [31] and known as Stokes lines and anti-Stokes lines. These curves relate to the behaviour of exponentially small components of the solutions. As Stokes lines are crossed, the exponentially small behaviour experiences a smooth, rapid change in value in the neighbourhood of the curve itself; in many cases, the behaviour may switch off entirely on one side of the Stokes line. Hence, Stokes lines allow us to determine which exponentially small contributions may be present in certain regions of the plane. Anti-Stokes lines determine directions where exponentially small behaviour changes to become exponentially large, and therefore mark the boundaries of the region in which the asymptotic series expression for the solution is valid.
In this investigation, we will apply an exponential asymptotic method developed by Olde Daalhuis et al. [32] for linear differential equations and extended by Chapman et al. [33] for application to nonlinear differential equations. We provide a brief outline of the process here; however, more detailed explanation of the methodology may be found in these studies.
To optimally truncate an asymptotic series, we require a general form for the asymptotic series coefficients, which is often algebraically intractable. In singular perturbation problems, Dingle [34] noted that successive terms in the asymptotic series expansion are obtained by repeated differentiation of an earlier term in the series. Hence, the late-order terms am of the resultant asymptotic series typically diverge as the ratio between a factorial and the increasing power of a function χ, such as
The next step, described by Olde Daalhuis et al. [32], is to substitute the truncated series expression back into the original problem, obtaining an equation for the exponentially small remainder term after truncation. The positions of Stokes lines are found by determining the curves along which the remainder term varies rapidly, and the behaviour of this remainder is found by solving the remainder equation in the neighbourhood of these Stokes lines.
Away from the Stokes line, the governing behaviour is obtained by solving the homogeneous version of the remainder equations, generally giving an expression of the form A e−χ/ϵ (this is a consequence of the analysis in Chapman et al. [33], although it is also shown as a part of the Stokes smoothing analysis contained herein). Stokes switching will occur when the switching exponential is maximally subdominant; this occurs when the singulant is purely real and positive. Anti-Stokes lines may be found when the exponential term switches from being small to large; this occurs when the singulant is purely imaginary. These are therefore convenient conditions to determine the possible location of Stokes and anti-Stokes lines, as observed by Dingle [34], and we apply them to the series solutions of dPI.
(d) Paper outline
In §2, we find the full formal series expansions of the (pole-free) solutions of dPI and provide recurrence relations for the coefficients. It is important to note that we find two types of series solutions, called Type A and B solutions. We also describe the late-order terms in these series. We determine the Stokes structures of the Type A solutions in §3, which involves descriptions of the exponentially small terms in the solutions. These are used to find the regions in which the solutions are pole-free. We carry out the analysis of Type B solutions in §4. Finally, we discuss the results and conclusions of the paper in §5.
2. Asymptotic series expansions
In this section, we expand the solution as a power series in the limit and determine a recurrence relation for the coefficients of the series. Finally, we determine a general expression for the late-order terms of the series.
Consider the first discrete Painlevé equation
In subsequent analysis, we assume with iteration n↦n+1 acting on domains and takes an initial value as given by a function f(n) in a domain that includes the initial point. This is a standard interpretation [36,37] and underlies the theory of difference calculus. This allows us to analytically continue the solution in the complex n-plane.
We now apply the method of multiple scales in terms of the fast variable n, and a slow variable s=ϵn. We scale yn and zn and express them such that
We assume that u(s,ϵ) and v(s,ϵ) are analytic in the variable s and expand the solutions to (2.4a,b) as a Taylor series in s to give the system
We now expand the solutions u(s,ϵ) and v(s,ϵ) as a formal power series in ϵ1/2, such that
Equations (2.5a,b) therefore become
Matching orders of ϵ as gives
We see that in both solution types, u0 and v0 contain a singularity at s=0, and that this singularity increases in strength by one half in each subsequent term of the asymptotic series. Consequently, we expect that the series will diverge, and exponentially small Stokes switching behaviour will be present in the solution.
In general, we find
In order to determine the optimal truncation point, we must determine the form of the terms in the asymptotic series as . We therefore follow [33] and define a late-order ansatz in the limit :
Applying this ansatz to (2.11a,b) and matching leading orders of m as gives
To determine the behaviour of the prefactor and singulant terms, we must consider Type A and B solutions separately and solve (2.13a,b) to find the singulant χ(s), and then (2.14a,b) to find the prefactors U(s) and V (s).
3. Stokes structure of Type A solutions
In this section, we solve the late-order term equations for Type A solutions. We use the resultant expressions to determine the Stokes structure, as well as the form of the exponentially small components of the solution. From these results, we determine the region of the complex plane which is asymptotically pole-free.
(a) Late-order terms
The singulant equations given in (2.13a,b) reduce to
Recalling that u0 and v0 are singular at s=0, and hence that χ(0)=0, we find that the relevant singulants are given by
To find the prefactor associated with these singulants, we solve (2.14a)–(2.14b). We take the limit of the summation terms as . Equation (2.14b) becomes
Finally, we note that for the ansatz (2.12) to be consistent with the leading-order behaviour given in (2.9), we must have k=−1/2. This gives a singularity of the appropriate strength in the limit . Hence, the late-order terms are given by
The only component of the late-order terms that remains to be found is the value of the constants Λi, which may be determined numerically. We illustrate this on an example problem in appendix A(a).
(b) Stokes structure
Having calculated χ1 and χ2, we recall from §1c that the behaviour of the exponential term will be proportional to ; this is also demonstrated in the full Stokes switching analysis contained within appendix B. This term will be exponentially small when Re(χ)>0, and exponentially large when Re(χ)<0. We also recall that Stokes lines exist where Im(χ)=0 and Re(χ)>0, while anti-Stokes lines follow Re(χ)=0. Figure 1 illustrates the behaviour of the singulants in each of the four quadrants within the complex s-plane.
Figure 1. Behaviour of the singulants for Type A solutions in each of the four quadrants. The dashed curve indicates where the real part of both singulants is zero (and hence corresponds to an anti-Stokes line), and the solid curve indicates where the imaginary parts are zero, corresponding to potential Stokes lines. The black jagged line represents a branch cut. Recalling that Stokes switching may only occur when Im(χ)=0 and Re(χ)>0, we see that χ1 switches across the curve arg(s)=−π/2, whereas χ2 switches across the curve arg(s)=π/2.
We see that there is an anti-Stokes line following the positive real axis, while Stokes lines follow the negative and positive imaginary axis for χ1 and χ2, respectively. To determine the behaviour that occurs as the Stokes lines are crossed, we note that the remainder term is of algebraic order along anti-Stokes lines. However, this would make it comparable in size to the leading-order behaviour on the positive real axis, which is not possible. Hence, we conclude that the remainder terms associated with χ1 and χ2 are not present along the real axis at all, and hence cannot be active in the first or fourth quadrant.
Consequently, we conclude that the exponential contributions associated with χ1 and χ2 are present on the left-hand side of their Stokes lines, but are switched off as they cross from the left to the right-hand side (into the fourth and first quadrant, respectively). Figure 2 illustrates the regions in which the exponential contributions are active.
Figure 2. (a) The regions of the s-plane in which exponential contributions associated with χ1 and χ2 are active. Switching behaviour of exponential contributions occurs across the Stokes lines, denoted as solid black lines, where the associated singulant is indicated by the nearby circled numbers. The anti-Stokes line is represented as a dashed curve. The exponential contributions cannot be present along the anti-Stokes line, as they would not be exponentially small here, and hence would be visible to the algebraic power series. (b) The exponentially small remainder terms present in each region.
Importantly, we see that as the exponential contributions associated with χ1 and χ2 are present only in the third and second quadrants, respectively, in which they are exponentially small (as Re(χ)>0), they do not cause any difficulty for the validity of the asymptotic expansion. Hence, the solutions satisfying (2.9) are valid on the entire complex plane, with the exception of the branch cut. We therefore conclude that the solutions are asymptotically pole-free in the entire far-field, aside from the negative real axis.
Finally, now that we know the nature of the switching behaviour as the Stokes lines are crossed, we are in a position to calculate the precise form of the remainder term associated with the late-order terms, and hence determine the exponentially small contribution present in the problem.
(c) Stokes smoothing
To determine the behaviour in the neighbourhood of the Stokes line, we return to (2.5a,b). Now, we express u and v as asymptotic expansions truncated after N terms, with remainder RN and SN respectively, such that
A full analysis of the remainder terms RN and SN is given in appendix B. This analysis is quite technical; we therefore summarize the results in the remainder of this section.
From appendix B, we find that the optimal truncation point is given by Nopt=2|χ|/ϵ+ω, where 0≤ω<1 is chosen so that N is integer-valued. The remainder terms given in (B5) and (B6) are shown to take the form
Consequently, the optimally truncated asymptotic series for u(s,ϵ) and v(s,ϵ) takes the form
4. Stokes structure of Type B solutions
In this section, we determine the late-order asymptotic terms associated with Type B. These are then used to determine the exponentially small contributions to the asymptotic solution, and subsequently the Stokes structure. From these results, we determine the region of validity for the general solution and show that for particular choices of the two Stokes-switching parameters, the region of validity may be extended.
(a) Late-order terms
When considering Type B solutions, we find that the asymptotic series expansion for u and v are identical, and hence that um=vm for all values of m. We therefore set V (s)=U(s).
Now, using (2.10), both singulant equations (2.13a,b) reduce to
Hence, we find that the late-order terms may be expressed as
The numerical process to determine Λi is more complicated than that demonstrated in appendix A, as we must now compute four values of Λi, rather than two. An example numerical calculation is illustrated in appendix Ab.
(b) Stokes structure
Having calculated the singulants, we may determine the Stokes structure in a similar fashion to §3b, noting that Stokes lines follow curves on which Im(χ)=0 and Re(χ)=0, and anti-Stokes lines follow curves satisfying Re(χ)=0. The behaviour of the four different singulants is illustrated in figure 3.
Figure 3. Behaviour of the singulants for Type B solutions in the complex s-plane. The dashed lines indicate where the real part of the singulants is zero (and hence corresponds to an anti-Stokes line), and the solid lines indicate where the imaginary parts are zero. The jagged line represents a branch cut. Recalling that Stokes switching may only occur when Im(χ)=0 and Re(χ)>0, we see that χ2 and χ4 switch across the Stokes line in the upper half plane, whereas χ1 and χ3 switch across the Stokes line in the lower half plane. (a) Stokes structure for χ1,2 and (b) Stokes structure for χ3,4.
From this figure, we see that the Stokes structure of the solution is substantially more complicated than in Type A solutions. Not only are there four different exponential contributions to consider, but there are two different sets of Stokes lines, each associated with two of the singulants.
There is, however, also a more interesting difference. From figure 1, we were able to conclude that neither exponential contribution could be present on the positive real axis in Type A solutions, as they would not be exponentially small. Hence, as the jump across Stokes lines is prescribed in (3.7) and (3.8), the asymptotic behaviour is specified uniquely, with no free parameters. However, from figure 3, we see that this is no longer true for Type B solutions. While we can see that χ2 and χ3 cannot be present on the positive real axis, as they would be exponentially large in the asymptotic limit, the same cannot be said about χ1 and χ4. As Re(χ1,4)>0 on the positive real axis, the associated exponential contribution is exponentially small, and the asymptotic series is still valid when such contributions are present. Hence, the value of on the real axis may be freely specified, meaning that the solution contains two free parameters.
Consequently, we determine that the exponential contributions active in each region of the plane are those shown in figure 4a. We see that, assuming that is non-zero on the real axis, the region in which the asymptotic expansion associated with (2.10) is valid is a sector between the anti-Stokes lines associated with χ1,2 and χ3,4, in which the exponentials associated with χ2 and χ3 are inactive, and those associated with χ1 and χ4 are exponentially small. The angle between the edge of the sector and the real axis (denoted by θ in figure 4) is given by

Figure 4. Behaviour of the singulants for Type B solutions in the complex s-plane. We illustrate the behaviour of the four exponential contributions (associated with the four singulants) individually, and also the composite behaviour when each is taken into account. The region in which the series expansion (2.6) provides a valid asymptotic approximation for u(s,ϵ) and v(s,ϵ) is illustrated in the composite expression. In each figure, the change in Stokes multiplier across Stokes lines is described. We recall that the jump across Stokes lines is specified in (4.4). Hence, as must be zero on the real axis, their behaviour is completely specified. However, this is not true of , which leads to two free parameters being present in the problem (specifically, the value of these Stokes multipliers on the real axis). Figure (a) illustrates the behaviour for general, non-zero choices of on the real axis. Figure (b) illustrates a special case when are chosen to be zero on the real axis, giving a larger region of validity for the asymptotic solution.
However, we note that it is possible to choose on the real axis. Figure 4b illustrates this behaviour. In this case, the region in which the asymptotic expansion is valid is substantially larger than the general case shown in figure 4a; there is no exponential contribution associated with χ1 or χ4 to become large as the anti-Stokes lines are crossed. Instead, the angle θ is now given by
(c) Stokes smoothing
Using a nearly identical analysis to §3c, we are able to show that for Type B solutions, the quantity switched across each Stokes line takes the form
Consequently, the optimally truncated asymptotic series for u(s,ϵ), and hence v(s,ϵ), is shown to take the form
5. Conclusion
In this paper, we used methods of exponential asymptotics to compute and investigate two types of asymptotic solutions to the first discrete Painlevé equation, associated with the leading-order behaviours described in (2.9) and (2.10). We identified the Stokes structure of the solution for each type and used this information to deduce the sectors displaying asymptotically pole-free behaviour in the far-field limit. These asymptotic solutions were given as the sum of a truncated asymptotic power series and an exponentially subdominant remainder term, shown in (3.9) and (3.10) for Type A solutions, and (4.5) for Type B solutions.
In §3, we showed that the asymptotic solution associated with (2.9) is a valid approximation in the far field of the entire complex plane, aside from a branch-cut along the negative real axis, and hence the solution is asymptotically pole-free. This solution has no exponentially small behaviour on the positive real axis, although there is exponentially small behaviour present in the left-half complex plane. This implies that this asymptotic behaviour is uniquely defined, with no free parameter present in the solution.
The asymptotic solution associated with (2.10), discussed in §4, is generally asymptotically pole-free within a narrow wedge in the complex plane containing the positive real axis, seen in figure 4a. Unlike the first asymptotic solution, however, there are two free parameters in the asymptotic approximation, associated with Stokes switching. If these parameters are chosen appropriately, we discover asymptotic solutions with larger ranges of validity, such as that shown in figure 4b. Outside of the asymptotically pole-free regions, the asymptotic series solution is no longer valid, and we instead see the elliptic function behaviour described by Joshi [5]. In fact, the oscillatory behaviour that is present along anti-Stokes lines is a degenerate form of this behaviour.
We note with interest that the two classes of asymptotically pole-free solutions to dPI, Types A and B, demonstrate power series-type behaviour in the far field; however, they differ in that Type A solutions are uniquely specified with no free parameters, while Type B solutions contain free parameters associated with the Stokes multipliers in the solution. Similar asymptotic behaviour is seen in the tritronquée and tronquée solutions to PI, the former of which is uniquely specified, while the latter contains free parameters associated with Stokes switching. Consequently, the two classes of asymptotic behaviour described in this study may be regarded as corresponding to tritronquée and tronquée solutions of PI, respectively.
The asymptotic solutions to dPI also provide insight into the behaviour of solution hierarchies to the equations described in (1.3) and (1.5). The first of these describes solution hierarchies to the fourth Painlevé equation. For example, Type B solutions (2.10) correspond to solution families which grow as in the large-n limit, with the parameters described in (1.2) also growing appropriately. These solution hierarchies are of particular mathematical interest due to their power series dependence on n in the asymptotic limit, which is particular to the asymptotic classes of dPI solutions described in the present study.
Finally, we emphasize that this methodology may be applied to a wide range of difference equations, as it does not require the problem to be integrable, nor does it require that solution be expressed in terms of an integral equation. This is demonstrated in appendix C, where we outline how this procedure could be applied to determine the Stokes switching behaviour of a non-integrable difference equation. Consequently, although we applied the method to determine information about the exponentially small components of the solution to dPI, it could easily be adapted to analyse asymptotic solutions of broad classes of difference equations.
One particular case of interest is the behaviour of orthonormal polynomials satisfying (1.4) for a variety of different weight functions, such as the semi-classical weights described in [2]. In general, these polynomial families may be computed using non-integrable difference equations. However, as there is no aspect of the methodology which depends on the integrability of the equation, these difference equations are still amenable to the asymptotic methods described in the present study.
Note added in proof
We thank Professor R. Schiappa for informing us about his related work on instantons in string theory [38,39].
Data accessibility
We have no supporting data aside from that contained within the text.
Acknowledgements
The authors would like to thank Prof. C. J. Howls and Prof. Y. Takei for discussion and suggestions regarding this study. The authors would also like to thank the referees for their helpful comments and suggestions.
Authors contributions
N.J. and C.J.L. collaborated on the mathematical analysis. C.J.L. drafted the manuscript. All authors gave final approval for publication.
Funding statement
N.J. and C.J.L. were supported by
Conflict of interests
We have no competing interests.
Appendix A. Calculating the prefactor constants
(a) Type A
To determine the value of the constants Λi, we return to the late-order expression given in (3.5). We see that these expressions may be rewritten as
By adding (and subtracting) successive terms appropriately in the limit , we may easily determine Λ1 and Λ2 by considering sufficiently high values of um. For example, adding and subtracting appropriate even terms gives
As a specific example, we consider the case when α=−1, β=1 and γ=0. A numerical study similar to that performed by Joshi & Kitaev [20], shown in figure 5a, indicates that this behaviour tends to the appropriate asymptotic expression with the boundary conditions w0=0.52040003 and w1=0.55549107. We select the case when , giving u1=0 and . We may now evaluate (2.11a,b) in order to determine progressively higher terms in the series. In figure 5b, we apply (A2a) to approximate Λ1 for various values of m, with the dashed line indicating the quantity that Λ1 converges to for sufficiently large m. Using the general relation in (2.11a,b), we calculate behaviour of um up to m=251, we find

Figure 5. (a) The behaviour of the solution to dPI with α=−1, β=1 and γ=0. The boundary conditions are chosen such that w0=0 and w1=1. The values of wn are represented as black circles, and the asymptotic solution , associated with Type A solutions, is represented as a solid curve. It is apparent that the behaviour of the discrete equation tends to the asymptotic expression in question for large n. (b) The approximation for Λ1 obtained by computing the expression given in (A 2a). As m increases, the approximation tends to the dashed curve.
(b) Type B
When considering the more complicated form of the late-order terms for Type B solutions given in (4.2), we must solve for four different values of Λi. In this case, we write χ1=|χ1| eiθ, and note the late-order terms may be rewritten as
We consider a numerical example, choosing α=3, β=1 and γ=0 (ensuring that um=vm, and hence eliminating the need to consider vm separately). We begin with the leading-order solution and compute the behaviour of um up to m=500 and use four consecutive even values of m in (A3) to generate the system of equations which is subsequently solved for Λi. The computed values of Λ1 and Λ4 are shown in figure 6 for a range of values of m, and we see that they are converging to a constant value. By taking a system of equations using sufficiently large computed values of um, we find that

Figure 6. This figure illustrates the computed approximations associated with Type B solutions having α=3, β=1 and γ=0 for (a) Λ1 and (b) Λ4, obtained by solving the system generated from (A3) using four consecutive even values of m, beginning with the value indicated on the horizontal axis. As m increases, the approximations tend to the dashed curve.
Appendix B. Stokes smoothing
To perform an exponential asymptotic analysis on the remainder terms in (3.6), we must ensure that the asymptotic series is truncated optimally. To find the optimal truncation point, we follow the commonly used strategy described by Boyd [26], in which the series is truncated at its smallest term (and hence where consecutive terms have the same size).
By solving
Applying this series expression and using (2.11a,b) to eliminate terms, recalling that u0=−v0, gives
Noting that RN and SN have decoupled, we will use (B2b) to determine the behaviour of RN. We apply a WKB ansatz to the homogeneous version of (B2b) by setting RN=f(s) eg(s)/ϵ. The solution away from the Stokes line (where the right-hand side not have any effect) is therefore given by the homogeneous version of (B2b), and therefore to leading order as
Knowing that the behaviour will switch rapidly in the neighbourhood of the Stokes line, we set
Noting the form of the optimal truncation (B1), we set χ=r eiθ and restrict ourselves to curves with r fixed. This gives
Appendix C. A non-integrable equation
To demonstrate the utility of this method, we consider a non-integrable variant of dPI and briefly outline the steps required to determine the late-order term behaviour, and hence the Stokes structure of the solution. We begin with the equation presented in (1.1) and adjust the final term, giving
We again define a late-order ansatz in the limit ; however, due to the different form of the asymptotic series, we instead select the ansatz to have the form
Applying this ansatz to (C3a,b) and matching leading orders of m as gives new singulant and prefactor equations. The singulant equations for Type A and Type B solutions, respectively, are now given by
We therefore see that, although the exponential asymptotic method described in this study may be used to study the Stokes-switching behaviour of integrable equations such as the discrete Painlevé equations, it does not depend on the integrability of the problem, and hence may be applied to a much more broad class of equations without significant changes to the process.
Footnotes
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