G. Bozis ^(1){ }^{1} and M.-C. Anisiu ^(2,***){ }^{2, \star}^(1){ }^{1} Aristotle University of Thesaloniki, GR-54006, Greece^(2){ }^{2} T. Popoviciu Institute of Numerical Analysis, P. O. Box 68, 400110 Cluj-Napoca, Romania
Received 2009 Apr 2, accepted 2009 Aug 4
Published online 2009 Sep 20
Key words celestial mechanics, stellar dynamics
Abstract
In the framework of the inverse problem of dynamics, we face the following question with reference to the motion of one material point: Given a region T_("orb ")T_{\text {orb }} of the xyx y plane, described by the inequality g(x,y) <= c_(0)g(x, y) \leq c_{0}, are there potentials V=V(x,y)V=V(x, y) which can produce monoparametric families of orbits f(x,y)=cf(x, y)=c (also to be found) lying exclusively in the region T_("orb ")T_{\text {orb }} ? As the relevant PDEs are nonlinear, an answer to this question (generally affirmative, but not with assurance) can be given by the procedure of the determination of certain constants specifying the pertinent functions. In this paper we ease the mathematics involved by making certain simplifying assumptions referring to the homogeneity of both the function g(x,y)g(x, y) (describing the boundary of T_("orb ")T_{\text {orb }} ) and of the slope function gamma(x,y)=f_(y)//f_(x)\gamma(x, y)=f_{y} / f_{x} (representing the required family f(x,y)=cf(x, y)=c ). We develop the method to treat the so formulated problem and we show that, even under these restrictive assumptions, an affirmative answer is guaranteed provided that two algebraic equations have in common at least one solution.
The inverse problem of dynamics - finding the forces which give rise to a family of orbits - has been of interest since Newton discovered the inverse square law for the motion of the planets. In modern days the problem has received special attention after the publication by Szebehely (1974) of the partial differential equation for the potential generating a given family of orbits. Szebehely's equation was aimed to be used for the determination of the potential of the Earth by means of satellite observations. The form of Szebehely's equation allowed Bozis & Ichtiaroglou (1994) to state that the orbits of the family are actually traced only in a region which is limited by the family boundary curves (FBC). Later on, Bozis (1996) and Anisiu & Bozis (2000) considered the following related problem: given a planar region, find the potential and the families of curves described by a particle precisely in the given region (programmed to remain trapped into it).
In this paper we approach the problem of the programmed motion for a general planar region and families of curves with homogeneous slope, which contain as a special case the orbits gamma=-x//(4y)\gamma=-x /(4 y) found by Bozis et al. (1997) for the Hénon-Heiles (1964) potential V(x,y)=1//2x^(2)+8y+x^(2)y+16//3y^(3)V(x, y)=1 / 2 x^{2}+ 8 y+x^{2} y+16 / 3 y^{3} in the region (x^(2)+8y^(2)+12 y)y <= 0\left(x^{2}+8 y^{2}+12 y\right) y \leq 0.
The system of the second order differential equations for the motion of one material point allows both for real and nonreal orbits to result from a real or complex force field. In particular, a planar orbit traced by one material point in the presence of a two-dimensional force field (conservative
or not, in an inertial or in a rotating frame OxyO x y ) may be escaping or trapped in a region of the plane depending on the initial conditions given to the orbit. For conservative force fields, the requirement that, at any point along the orbit, the total energy EE of the moving particle must be greater than the potential V(x,y)V(x, y) at this point, determines the well known zero velocity curves (ZVC). Each ZVC, with equation E-V(x,y)=0E-V(x, y)=0, is associated with one specific orbit and with all possible orbits having the same energy EE (e.g. Szebehely 1967).
On the other hand, in the framework of the inverse problem, Szebehely's (1974) partial differential equation, as modified later by Bozis (1983), relates, in an inertial frame, slope functions gamma(x,y)=f_(y)//f_(x)\gamma(x, y)=f_{y} / f_{x} of monoparametric families of orbits f(x,y)=f(x, y)= const. to potentials V(x,y)V(x, y) which can produce these families (for adequately chosen initial conditions, of course) and to the energy dependence function E=E(f(x,y))E=E(f(x, y)). This PDE also allows both for real and complex pairs ( V(x,y),gamma(x,y)V(x, y), \gamma(x, y) ), accompanied by complex values of the total energy EE as well (Contopoulos & Bozis 2000). Naturally, families of complex orbits are of pure mathematical interest, whereas real orbits are actually observed and, so or otherwise, good to have in Physics. Out of these real orbits, those which are trapped in the interior of a certain finite region T_("orb ")T_{\text {orb }} of the plane are of interest in many physical situations. Our possibility of managing to have orbits of this nature partly answers the more general question of programmed motion in mechanics (Galiullin 1984).
To succeed to program motion in the above sense, we are helped by the so-called family boundary curves (FBC).
Those are curves defining regions B(x,y) >= 0B(x, y) \geq 0 where motion of the particle may take place (as the particle moves on various members of the same family), with total energy generally varying from member to member (Bozis & Ichtiaroglou 1994). We know that to each pair ( V,gammaV, \gamma ) of a potential and a family there corresponds a specific FBC. An essential difficulty which arises is due to the fact that infinitely many pairs ( V,gammaV, \gamma ) may lead to the same geometrical entity representing the region T_("orb ")T_{\text {orb }} which we have preassigned.
In the present study we face this problem aided by some homogeneity assumptions referring both to the form of the slope function gamma(x,y)\gamma(x, y) and to the form of the equation g(x,y) <= c_(0)g(x, y) \leq c_{0} representing T_("orb ")T_{\text {orb }}. In Sect. 2 we remind the reader of the definition of the boundary function B(x,y)B(x, y) and we put the problem in its general prospect. In Sect. 3 we derive differential relations involving the boundary function B(x,y)B(x, y) and the slope function gamma(x,y)\gamma(x, y), respectively B(x,y)B(x, y) and the potential V(x,y)V(x, y). We find also a formula giving explicitly the slope function gamma(x,y)\gamma(x, y) in terms of B(x,y)B(x, y) and V(x,y)V(x, y). In Sect. 4 we describe some aspects of the problem and we focus on what we define as the basic programmedmotion problem which then we study in detail in Sect. 5 with homogeneous functions. In Sect. 6 we offer an example for the basic programmed motion. In Sect. 7 we make some general concluding remarks.
2 The boundary function
Monoparametric families of orbits f(x,y)=cf(x, y)=c, which are produced by a given potential V(x,y)V(x, y) and which have the 'slope function' gamma(x,y)=f_(y)//f_(x)\gamma(x, y)=f_{y} / f_{x}, satisfy the second order nonlinear PDE (Bozis 1995) gamma^(2)gamma_(xx)-2gammagamma_(xy)+gamma_(yy)=h\gamma^{2} \gamma_{x x}-2 \gamma \gamma_{x y}+\gamma_{y y}=h,
where
Having in mind a pair ( V(x,y),gamma(x,y)V(x, y), \gamma(x, y) ) satisfying the above PDE (1), let us denote by B(x,y)B(x, y) the 'boundary function’ B(x,y)=(V_(x)+gammaV_(y))/(gamma_(y)-gammagamma_(x))B(x, y)=\frac{V_{x}+\gamma V_{y}}{\gamma_{y}-\gamma \gamma_{x}}.
Families of straight lines for which gammagamma_(x)-gamma_(y)=0\gamma \gamma_{x}-\gamma_{y}=0 and V_(x)+gammaV_(y)=0V_{x}+\gamma V_{y}=0 (Bozis & Anisiu 2001) are excluded from our study, as both hh and BB are indeterminate.
As we know (Bozis & Ichtiaroglou 1994), in general, the inequality
determines the region T_("orb ")T_{\text {orb }} of the xyx y plane where the potential V(x,y)V(x, y) creates real orbits or real parts of the orbits belonging to the family with slope function gamma(x,y)\gamma(x, y). On these grounds, we shall refer to B(x,y)B(x, y) as the 'boundary
function' for the compatible pair (V(x,y),gamma(x,y))(V(x, y), \gamma(x, y)). Apparently, the pair (-V(x,y),gamma(x,y))(-V(x, y), \gamma(x, y)) is compatible outside the region T_("orb ")T_{\text {orb }}.
Conversely, if we have in mind only a specific region T_("orb ")T_{\text {orb }} of the xyx y plane which we want to make the exclusive allowed region for certain unknown families created by an unknown potential, the hidden function B(x,y)B(x, y) is also not known to us. In fact, the boundary function B(x,y)B(x, y) is not known even if one of the functions gamma(x,y)\gamma(x, y) or V(x,y)V(x, y) is not given.
We restrict ourselves to regions which are described by one inequality, say b(x,y) >= 0b(x, y) \geq 0,
and impose the condition that the function B(x,y)B(x, y) corresponding to a pair ( V(x,y),gamma(x,y)V(x, y), \gamma(x, y) ) defines the same region (4) as the inequality (5) does. We interpret this by stating that there must exist a nonvanishing function Theta(x,y)\Theta(x, y), in a region T_(0)T_{0} broader from the region T_("orb ")T_{\text {orb }}, such that
with Theta(x,y) >= 0,(x,y)inT_(0), tilde(Theta)(x,y)!=oo\Theta(x, y) \geq 0,(x, y) \in T_{0}, \tilde{\Theta}(x, y) \neq \infty,
where tilde(Theta)(x,y)\tilde{\Theta}(x, y) denotes the (one-variable) function Theta(x,y)\Theta(x, y) evaluated at the points of the curve b(x,y)=0b(x, y)=0.
For the special case of the families f(x,y)=y-H(x)f(x, y)=y-H(x), Anisiu & Bozis (2000) solved the problem of programmed motion by taking B=bB=b, i.e. Theta=1\Theta=1. The generalizing step made in the present study refers to this multiplier Theta(x,y)\Theta(x, y) which is now allowed to be any function satisfying the conditions (7).
3 PDEs relating the boundary functions to families of orbits and to potentials
We now obtain a PDE (Eq. (11) and its counterpart Eq. (13) below) relating slope functions gamma(x,y)\gamma(x, y) and boundary functions B(x,y)B(x, y) as follows: Solving Eq. (3) for gammagamma_(x)-gamma_(y)\gamma \gamma_{x}-\gamma_{y} and taking derivatives in xx and yy we obtain respectively gammagamma_(xx)-gamma_(xy)=h_(1),quad gammagamma_(xy)-gamma_(yy)=h_(2)\gamma \gamma_{x x}-\gamma_{x y}=h_{1}, \quad \gamma \gamma_{x y}-\gamma_{y y}=h_{2},
where h_(1)h_{1} and h_(2)h_{2} are functions of gamma\gamma and BB and first order partial derivatives of them, and also of first and second order derivatives of VV. We now see that the algebraic system of the three Eqs. (1) and (8) in gamma_(xx),gamma_(xy),gamma_(yy)\gamma_{x x}, \gamma_{x y}, \gamma_{y y} is indeterminate and this implies that h-gammah_(1)+h_(2)=0h-\gamma h_{1}+h_{2}=0 or, after some algebra, gamma=(B_(y)+2V_(y))/(B_(x))\gamma=\frac{B_{y}+2 V_{y}}{B_{x}}.
We solve Eqs. (3) and (9) for V_(x),V_(y)V_{x}, V_{y} and we find V_(x)=-B(gammagamma_(x)-gamma_(y))+(1)/(2)gamma(B_(y)-gammaB_(x))V_{x}=-B\left(\gamma \gamma_{x}-\gamma_{y}\right)+\frac{1}{2} \gamma\left(B_{y}-\gamma B_{x}\right), V_(y)=-(1)/(2)(B_(y)-gammaB_(x))V_{y}=-\frac{1}{2}\left(B_{y}-\gamma B_{x}\right).
The above formulae (10) serve to determine the potential, when a compatible pair ( B(x,y),gamma(x,y)B(x, y), \gamma(x, y) ) is given. This
compatibility is ensured by the requirement that V_(xy)=V_(yx)V_{x y}=V_{y x} and implies that the PDE -B_(xx)+k^(**)B_(xy)+B_(yy)=lambda^(**)B_(x)+mu^(**)B_(y)+nu^(**)B-B_{x x}+k^{*} B_{x y}+B_{y y}=\lambda^{*} B_{x}+\mu^{*} B_{y}+\nu^{*} B,
where k^(**)=(1-gamma^(2))/(gamma),quadlambda^(**)=(gamma_(x)+2gammagamma_(y))/(gamma)k^{*}=\frac{1-\gamma^{2}}{\gamma}, \quad \lambda^{*}=\frac{\gamma_{x}+2 \gamma \gamma_{y}}{\gamma}, mu^(**)=(2gammagamma_(x)-3gamma_(y))/(gamma)\mu^{*}=\frac{2 \gamma \gamma_{x}-3 \gamma_{y}}{\gamma},
This is better suited for finding gamma\gamma when B(x,y)B(x, y) is given.
Inserting in Eq. (1) the function gamma(x,y)\gamma(x, y), as given by (9), we find the PDE
which relates potentials VV and boundary functions BB, and which is nonlinear in both variables VV and BB. Equation (14) can also be derived from the corresponding equation given by Bozis (1996) for nonconservative fields.
3.1 Remarks
If we insert (10) into (1), we obtain again the same PDE (11), relating families gamma(x,y)\gamma(x, y) to boundary functions B(x,y)B(x, y).
If (11) is satisfied by the pair ( gamma,B\gamma, B ) which is associated with the potential VV, it is also satisfied by the pair (gamma,k_(0)B)\left(\gamma, k_{0} B\right), now associated with the potential k_(0)Vk_{0} V, where k_(0)k_{0} is a constant. This remark also applies to Eq. (14).
As seen from (11), for a certain family gamma\gamma there may exist, in general, as many boundary functions BB as two arbitrary functions allow. Each of these BB 's specifies which members of gamma\gamma are lying inside which region. Each BB, of course, is associated with one (except for an additive constant) of the potentials given by (10) which can generate the given family.
If gamma\gamma is homogeneous of degree zero, then so is k^(**)k^{*}, whereas lambda^(**),mu^(**)\lambda^{*}, \mu^{*} are of degree -1 and nu^(**)\nu^{*} is of degree -2 . If, in addition to that, BB is homogeneous of degree nn, all terms in (11) are of degree n-2n-2.
Moreover, due to the linearity of (11), if the function B(x,y)B(x, y) is weighted homogeneous of degrees e.g. n_(1)n_{1} and n_(2)n_{2} (i.e. BB is the sum of two homogeneous expressions of degrees n_(1)n_{1} and n_(2)n_{2} ), then the entire Eq. (11) will lead to a weighted homogeneous expression of degrees n_(1)-2n_{1}-2 and n_(2)-2n_{2}-2. We shall make use of this remark in Sect. 5.
3.2 Example
Consider the family of concentric circles gamma=y//x\gamma=y / x produced by all potentials V(r,theta)=g(r)+(1)/(r^(2))h(theta)V(r, \theta)=g(r)+\frac{1}{r^{2}} h(\theta),
where r,thetar, \theta are polar coordinates and g(r),h(theta)g(r), h(\theta) arbitrary functions (Broucke & Lass 1977). The corresponding boundary function is found from (3): B(r,theta)=(cos^(2)theta)/(r^(2))(r^(3)(dg)/(dr)-2h)B(r, \theta)=\frac{\cos ^{2} \theta}{r^{2}}\left(r^{3} \frac{d g}{d r}-2 h\right).
All formulae (9) to (14) can be verified for this particular example. The presence of the arbitrary functions g(r)g(r) and h(theta)h(\theta) is helpful in conceiving the meaning of the formulae and also of the above Remark 3.
4 Some aspects of the programmed-motion problem
a The usual situation a physicist is confronted with is to have to deal with a specific potential (direct problem). In this case one may think of the following two aspects of programmed motion:
a1 One may ask to find families of orbits inside (or outside) a preassigned region of the xyx y plane described by the inequality (5). Clearly, such a requirement may not admit of an affirmative answer. Indeed, there is an 'immense' but 'specific' set of compatible pairs (V(x,y),gamma(x,y))(V(x, y), \gamma(x, y)) corresponding to the given VV. According to (3), each of these pairs is accompanied by a certain function BB which, once VV and bb are given, cannot generally be forced to be of the prescribed form (6)-(7), basically because of the restriction (7).
a2 As seen from (14), for the given potential, there may exist, in principle, infinitely many functions BB (in fact, as many as two arbitrary functions allow) and, consequently, infinitely many allowed regions. To each compatible pair ( B(x,y),V(x,y)B(x, y), V(x, y) ) there corresponds one monoparametric family gamma(x,y)\gamma(x, y), given by (9). Thus, e.g. to a certain potential of the form (15) (i.e. for a specific selection of the functions g(r)g(r) and h(vartheta)h(\vartheta) ) there correspond infinitely many functions B(x,y)B(x, y). Only one of these is given by (16) and this corresponds to the family of circles produced by (15).
b Let us now disregard the assumption that the potential is known and suppose that only the region is given in advance by the unique inequality (5). We shall refer to this as the basic programmed-motion problem. The question is: What families can be created in the given region and which are the potentials generating these families?
To answer this question we introduce the function B(x,y)B(x, y), as given by (6), into the Eq. (11) and we obtain a linear PDE with coefficients which are functions
of the known function b(x,y)b(x, y) and of the unknown function gamma(x,y)\gamma(x, y). This equation reads
and where k^(**),lambda^(**),mu^(**),nu^(**)k^{*}, \lambda^{*}, \mu^{*}, \nu^{*}, given by (12), depend merely on gamma\gamma and its derivatives.
At first sight, it seems as if, except for bb, we can also give in advance the family gamma\gamma and ask for solutions Theta(x,y)\Theta(x, y) of the linear PDE (17) with the provision that the inequalities (7) are also satisfied. However, this last requirement implies that such solutions Theta\Theta of (17) may not exist for any preassigned gamma\gamma. Indeed, the fact that bb is fixed a priori reduces the set of boundary functions B(x,y)B(x, y) (as Eq. 6 suggests) and, according to (11), does not allow for any functions gamma\gamma to belong to this set.
5 Basic programmed motion with homogeneous functions
In this section we outline the procedure to be followed in order to face the basic programmed-motion problem, as we defined it in Sect. 4 (b). In order to ease the mathematics, we put some additional assumptions regarding the homogeneity of the functions involved. Specifically we assume the following:
(i) The allowed region is given in the form
where Theta_(0)!=0\Theta_{0} \neq 0.
Inserting (20), (21) and (22) into (17), we rewrite (as implied by Remark 4 of Sect. 3) this equation so that its left hand side is a weighted homogeneous expression, i. e.
where R_(1)R_{1} and R_(2)R_{2} are functions of zz.
Both R_(1)R_{1} and R_(2)R_{2} must vanish identically, and this leads to the two equations (the dots representing differentiation with respect to zz )
m_(0dd)=b_(0)(gamma-z)(z gamma+1)m_{0 d d}=b_{0}(\gamma-z)(z \gamma+1).
Our hypotheses (b_(0)!=0,Theta_(0)!=0:}\left(b_{0} \neq 0, \Theta_{0} \neq 0\right. and straight lines excluded) assure that the coefficient of gamma^(¨)\ddot{\gamma} in (24) and (25) is different from zero.
One can see easily that one of the two Eqs. (24) and (25), say (25), may be replaced by the simpler equation (m_(1)-b_(0)k_(1))gamma^(˙)+m_(0)-b_(0)k_(0)=0\left(m_{1}-b_{0} k_{1}\right) \dot{\gamma}+m_{0}-b_{0} k_{0}=0.
we also have Theta^(¨)_(0)=((w^(˙))+w^(2))Theta_(0),quadb^(¨)_(0)=((r^(˙))+r^(2))b_(0)\ddot{\Theta}_{0}=\left(\dot{w}+w^{2}\right) \Theta_{0}, \quad \ddot{b}_{0}=\left(\dot{r}+r^{2}\right) b_{0}.
From (31) we then obtain (for m_(1)-b_(0)k_(1)!=0m_{1}-b_{0} k_{1} \neq 0 ) gamma^(˙)=(Gamma_(2)gamma^(2)+Gamma_(1)gamma+Gamma_(0))/(Delta_(1)gamma+Delta_(0))\dot{\gamma}=\frac{\Gamma_{2} \gamma^{2}+\Gamma_{1} \gamma+\Gamma_{0}}{\Delta_{1} \gamma+\Delta_{0}},
where
and Delta_(1)=2(m-2rz),quadDelta_(0)=rz^(2)-mz-3r\Delta_{1}=2(m-2 r z), \quad \Delta_{0}=r z^{2}-m z-3 r.
Also, the coefficients in the two Eqs. (24) and (25) may be freed from Theta_(0)\Theta_{0} and be expressed in terms of the ratio w=Theta^(˙)_(0)//Theta_(0)w=\dot{\Theta}_{0} / \Theta_{0}, given by (32). Besides that (and although b_(0)b_{0} is known) the calculations suggest that, instead of b_(0)b_{0}, it is
simpler to use r=b^(˙)_(0)//b_(0)r=\dot{b}_{0} / b_{0}, also given by (32). We take these remarks into account and, as we are interested only in formula (24), we rewrite it here as 2(1+gamma z)gamma^(¨)+2zgamma^(˙)^(2)+K_(1)gamma^(˙)+K_(0)=02(1+\gamma z) \ddot{\gamma}+2 z \dot{\gamma}^{2}+K_{1} \dot{\gamma}+K_{0}=0,
with the coefficients arranged in powers of gamma\gamma as follows K_(1)=K_(11)gamma+K_(10),quadK_(0)=K_(02)gamma^(2)+K_(01)gamma+K_(00)K_{1}=K_{11} \gamma+K_{10}, \quad K_{0}=K_{02} \gamma^{2}+K_{01} \gamma+K_{00},
where
{:(40)K_(11)=4zw+2(1-k)","quadK_(10)=-(z^(2)-3)w+kz:}\begin{equation*}
K_{11}=4 z w+2(1-k), \quad K_{10}=-\left(z^{2}-3\right) w+k z \tag{40}
\end{equation*}
So, now we have to deal with the two Eqs. (34) and (38), where the coefficients K_(1),K_(0)K_{1}, K_{0} in (38) are given by Eqs. (39)-(41) and the coefficients in the fraction (34) are given by Eqs. (35)-(37).
We consider mm, r=b^(˙)_(0)//b_(0),c_(0)r=\dot{b}_{0} / b_{0}, c_{0} (i.e. the boundary function bb given by Eq. 20) as known and we try to find appropriate gamma\gamma 's satisfying the Eqs. (34) and (38). To this end we prepare gamma^(¨)\ddot{\gamma} from (34) and insert into (38). In so doing, we obtain the quintic in gamma\gamma algebraic equation alpha_(5)gamma^(5)+alpha_(4)gamma^(4)+alpha_(3)gamma^(3)+alpha_(2)gamma^(2)+alpha_(1)gamma+alpha_(0)=0\alpha_{5} \gamma^{5}+\alpha_{4} \gamma^{4}+\alpha_{3} \gamma^{3}+\alpha_{2} \gamma^{2}+\alpha_{1} \gamma+\alpha_{0}=0,
where the coefficients alpha_(5),alpha_(4),dots,alpha_(0)\alpha_{5}, \alpha_{4}, \ldots, \alpha_{0} are functions of zz and ww and its derivative of the first order.
We now differentiate (42) in zz and we obtain gamma^(˙)\dot{\gamma} which we equate to gamma^(˙)\dot{\gamma} given by (34). In so doing we obtain the sixth order algebraic equation
with the coefficients beta_(6),beta_(5),dots,beta_(0)\beta_{6}, \beta_{5}, \ldots, \beta_{0} functions of zz and of ww, w^(˙),w^(¨)\dot{w}, \ddot{w}. We are interested in the common roots of the Eqs. (42) and (43) and this leads us to the eleventh order Sylvester determinant which is an ODE in ww of the second order. A solution ww of this equation (for a suitable kk ) allows us to solve the problem to completion.
A special case arises from the fact that the above reasoning was made under the hypothesis m_(1)-b_(0)k_(1)!=0m_{1}-b_{0} k_{1} \neq 0, imposed from formula (34) on. Therefore we have to analyze also the case when m_(1)-b_(0)k_(1)=0m_{1}-b_{0} k_{1}=0, i. e. Delta_(1)gamma+Delta_(0)=0\Delta_{1} \gamma+\Delta_{0}=0.
We express gamma\gamma from Eq. (44) and substitute it in m_(0)-b_(0)k_(0)=m_{0}-b_{0} k_{0}= 0, i. e. Gamma_(2)gamma^(2)+Gamma_(1)gamma+Gamma_(0)=0\Gamma_{2} \gamma^{2}+\Gamma_{1} \gamma+\Gamma_{0}=0. We obtain then the value of ww, and substitute gamma\gamma and ww in Eq. (38); if there is any kk for which the expression becomes identically null, we have a solution for the problem.
6 Example
As an example of the basic problem of programmed motion let us try to find families of orbits and the corresponding potentials creating them in the region (3)/(8)x^(2)+y^(2)+y <= 0\frac{3}{8} x^{2}+y^{2}+y \leq 0,
which represents the interior of an ellipse. Apparently, the region (45) lies in the negative yy 's, in fact it is tangent to the xx-axis at the origin, its center is at the point ( 0,-1//20,-1 / 2 ) and its semi-axes (parallel to the coordinate axes xx and yy ) are sqrt(2//3)\sqrt{2 / 3} and 1//21 / 2, respectively.
At first we write (45) in the form (19) as g(x,y)=-((3x^(2))/(8y)+y)=-x((3)/(8z)+z),quadc_(0)=1g(x, y)=-\left(\frac{3 x^{2}}{8 y}+y\right)=-x\left(\frac{3}{8 z}+z\right), \quad c_{0}=1.
Therefore m=1,b_(0)(z)=-((3)/(8z)+z),quadc_(0)=1m=1, b_{0}(z)=-\left(\frac{3}{8 z}+z\right), \quad c_{0}=1,
and, in view of (20), b(x,y)=(3x^(2))/(8y)+y+1b(x, y)=\frac{3 x^{2}}{8 y}+y+1.
Aided by a Maple program, we formed, for the case at hand, the two Eqs. (42) and (43) and we checked that, for k=3k=3, their Sylvester determinant vanishes when w=1//zw=1 / z. So, in view of the Eq. (32) and the inequality (7) we obtain Theta_(0)(z)=-z\Theta_{0}(z)=-z,
meaning that, for the case at hand and according to (22), it is Theta(x,y)=-x^(2)y\Theta(x, y)=-x^{2} y.
The function Theta\Theta satisfies the condition (7) with T_(0)={(x,y):y <= 0}T_{0}= \{(x, y): y \leq 0\}. According to (6), (48) and (50), we find B(x,y)=-((3)/(8)x^(4)+x^(2)y^(2)+x^(2)y)B(x, y)=-\left(\frac{3}{8} x^{4}+x^{2} y^{2}+x^{2} y\right).
With the function w(z)=1//zw(z)=1 / z, we write the Eqs. (42) and (43) and we look for a common solution of the form gamma=gamma(z),z=y//x\gamma= \gamma(z), z=y / x, which is gamma=-(2)/(3)z\gamma=-\frac{2}{3} z.
Finally, with the aid of (51) and (52), we find from (10) the potential
In Sect. 4 we discussed some aspects of the question of the programmed planar motion. We were led to focus attention on what appeared to us as the most meaningful version of the problem which we called basic programmed-motion problem. We treated this problem, having at our disposal (i) the Eq. (9), offering explicitly the slope function gamma\gamma in terms of BB and VV and (ii) the two nonlinear PDEs (13) and (14), relating gamma,B\gamma, B, and V,BV, B, respectively. Due to the complexity of these tools we were led to study the problem in some detail under certain additional assumptions regarding the homogeneity of the functions involved. Specifically we considered the case of an allowed region of the form (19), combined with a family of homogeneous orbits (21). In addition to that and in order to facilitate the calculations, we restricted ourselves to consider multiplying functions Theta(x,y)\Theta(x, y) which are also homogeneous.
The example in Sect. 6 has indicated that an affirmative answer to the programmed-motion problem can be obtained in spite of all the above restrictive assumptions. Yet, this is not generally what one expects. For another preassigned region of the form (19) the two algebraic equations (analogous to Eqs. 42 and 43) could be such as not to provide a common solution.
So, then, what is it that we generally expect, if we free ourselves from some or all the homogeneity assumptions?
We argued in Sect. 4 (b) that Eq. (17) would generally have no 'adequate' solution Theta(x,y)\Theta(x, y) for any gamma(x,y)\gamma(x, y). In fact, the finding of such pairs ( V,gammaV, \gamma ) is our objective. (Once gamma\gamma and Theta\Theta are found, we also have B=b ThetaB=b \Theta.) Of course, in view of (14), to any potential V(x,y)V(x, y) producing a family gamma(x,y)\gamma(x, y) which we may suspect as possibly lying in the given region b(x,y) >= 0b(x, y) \geq 0, there correspond infinitely many but definite functions B(x,y)B(x, y). However, none of these functions is obliged to provide (as the inequality (3) suggests) the same information with b(x,y) >= 0b(x, y) \geq 0.
On the other hand, the PDE (13) is more promising in offering an affirmative answer. Given the function b(x,y)b(x, y), we can select appropriate functions Theta(x,y)\Theta(x, y) (or, even better, select forms of functions Theta(x,y)\Theta(x, y), introduced by certain constants) and consider B=b ThetaB=b \Theta. Then, introduce this BB in (13) and try to obtain solutions of (13) for gamma(x,y)\gamma(x, y) again of a certain form by determining the constants.
Thus, e.g. for b(x,y)=-x^(2)+3x+yb(x, y)=-x^{2}+3 x+y, let us try Theta(x,y)=x^(2)+2Theta_(1)xy+Theta_(2)y^(2)\Theta(x, y)=x^{2}+2 \Theta_{1} x y+\Theta_{2} y^{2} (which is a non-negative definite quadratic expression for Theta_(1)^(2) <= Theta_(2)\Theta_{1}^{2} \leq \Theta_{2} ). With B(x,y)=b ThetaB(x, y)= b \Theta, let us now search for solutions gamma\gamma of the form gamma(x,y)=gamma_(0)+gamma_(1)y//x\gamma(x, y)= \gamma_{0}+\gamma_{1} y / x, with gamma_(1)!=0\gamma_{1} \neq 0 (no straight lines). The formula (13) leads to a polynomial in x,yx, y including fifth and fourth degree terms which becomes identically equal to zero if and only if: Theta_(1)=Theta_(2)=0\Theta_{1}=\Theta_{2}=0 and gamma_(0)=1,gamma_(1)=-2\gamma_{0}=1, \gamma_{1}=-2.
Therefore the family with gamma=1-2y//x\gamma=1-2 y / x, whose members are lying 'in one side' of the parabola y >= x^(2)-3xy \geq x^{2}-3 x is f(x,y)=4y^(3)-x^(3)-3x^(2)yf(x, y)=4 y^{3}-x^{3}-3 x^{2} y and, as can be found from (10), is produced by the potential V(x,y)=3x^(4)-6x^(3)y+6x^(2)y^(2)-10x^(3)+12x^(2)y-12 xy^(2)-2y^(3)V(x, y)=3 x^{4}-6 x^{3} y+ 6 x^{2} y^{2}-10 x^{3}+12 x^{2} y-12 x y^{2}-2 y^{3}.
Notice that the function b=-x^(2)+3x+yb=-x^{2}+3 x+y, used in the above example, can be put in the form (20). Thus, the same result can be found by the straightforward method developed in Sect. 5.
We remark that, for slope functions of the form gamma=gamma(y//x)\gamma= \gamma(y / x), the allowed region was found to be of the form (20) for potentials of the Hénon-Heiles type by Bozis et al. (1997), and for quartic perturbations of a harmonic oscillator by Anisiu (2007).
Acknowledgements. The authors thank Dr. V. Mioc of the Astronomical Institute of the Romanian Academy for his careful reading of the manuscript and his constant interest in the present topic.
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