Programmed motion in the presence of homogeneity

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Mira-Cristiana Anisiu
Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy

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Bozis G, Anisiu M-C, Programmed motion in the presence of homogeneity, Astronomische Nachrichten, vol. 330, issue 8, 2009, pag. 791-796

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2009-Anisiu_Astron-Programmed-motion

Programmed motion in the presence of homogeneity

G. Bozis 1 1 ^(1){ }^{1}1 and M.-C. Anisiu 2 , 2 , ^(2,***){ }^{2, \star}2, 1 1 ^(1){ }^{1}1 Aristotle University of Thesaloniki, GR-54006, Greece 2 2 ^(2){ }^{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 orb  T_("orb ")T_{\text {orb }}Torb  of the x y x y xyx yxy plane, described by the inequality g ( x , y ) c 0 g ( x , y ) c 0 g(x,y) <= c_(0)g(x, y) \leq c_{0}g(x,y)c0, are there potentials V = V ( x , y ) V = V ( x , y ) V=V(x,y)V=V(x, y)V=V(x,y) which can produce monoparametric families of orbits f ( x , y ) = c f ( x , y ) = c f(x,y)=cf(x, y)=cf(x,y)=c (also to be found) lying exclusively in the region T orb T orb  T_("orb ")T_{\text {orb }}Torb  ? 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 ) g(x,y)g(x, y)g(x,y) (describing the boundary of T orb T orb  T_("orb ")T_{\text {orb }}Torb  ) and of the slope function γ ( x , y ) = f y / f x γ ( x , y ) = f y / f x gamma(x,y)=f_(y)//f_(x)\gamma(x, y)=f_{y} / f_{x}γ(x,y)=fy/fx (representing the required family f ( x , y ) = c f ( x , y ) = c f(x,y)=cf(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.

© 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

1 Introduction

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 γ = x / ( 4 y ) γ = x / ( 4 y ) gamma=-x//(4y)\gamma=-x /(4 y)γ=x/(4y) found by Bozis et al. (1997) for the Hénon-Heiles (1964) potential V ( x , y ) = 1 / 2 x 2 + 8 y + x 2 y + 16 / 3 y 3 V ( x , y ) = 1 / 2 x 2 + 8 y + x 2 y + 16 / 3 y 3 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}V(x,y)=1/2x2+8y+x2y+16/3y3 in the region ( x 2 + 8 y 2 + 12 y ) y 0 x 2 + 8 y 2 + 12 y y 0 (x^(2)+8y^(2)+12 y)y <= 0\left(x^{2}+8 y^{2}+12 y\right) y \leq 0(x2+8y2+12y)y0.
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 O x y O x y OxyO x yOxy ) 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 E E EEE of the moving particle must be greater than the potential V ( x , y ) V ( x , y ) V(x,y)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 ) = 0 E V ( x , y ) = 0 E-V(x,y)=0E-V(x, y)=0EV(x,y)=0, is associated with one specific orbit and with all possible orbits having the same energy E E EEE (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 γ ( x , y ) = f y / f x γ ( x , y ) = f y / f x gamma(x,y)=f_(y)//f_(x)\gamma(x, y)=f_{y} / f_{x}γ(x,y)=fy/fx of monoparametric families of orbits f ( x , y ) = f ( x , y ) = f(x,y)=f(x, y)=f(x,y)= const. to potentials V ( x , y ) V ( x , y ) V(x,y)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 ) ) E=E(f(x,y))E=E(f(x, y))E=E(f(x,y)). This PDE also allows both for real and complex pairs ( V ( x , y ) , γ ( x , y ) V ( x , y ) , γ ( x , y ) V(x,y),gamma(x,y)V(x, y), \gamma(x, y)V(x,y),γ(x,y) ), accompanied by complex values of the total energy E E EEE 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 orb  T_("orb ")T_{\text {orb }}Torb  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 ) 0 B ( x , y ) 0 B(x,y) >= 0B(x, y) \geq 0B(x,y)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 , γ V , γ V,gammaV, \gammaV,γ ) 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 , γ V , γ V,gammaV, \gammaV,γ ) may lead to the same geometrical entity representing the region T orb T orb  T_("orb ")T_{\text {orb }}Torb  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 γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) and to the form of the equation g ( x , y ) c 0 g ( x , y ) c 0 g(x,y) <= c_(0)g(x, y) \leq c_{0}g(x,y)c0 representing T orb T orb  T_("orb ")T_{\text {orb }}Torb . In Sect. 2 we remind the reader of the definition of the boundary function B ( x , y ) B ( x , y ) B(x,y)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 ) B(x,y)B(x, y)B(x,y) and the slope function γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y), respectively B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) and the potential V ( x , y ) V ( x , y ) V(x,y)V(x, y)V(x,y). We find also a formula giving explicitly the slope function γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) in terms of B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) and V ( x , y ) V ( x , y ) V(x,y)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 ) = c f ( x , y ) = c f(x,y)=cf(x, y)=cf(x,y)=c, which are produced by a given potential V ( x , y ) V ( x , y ) V(x,y)V(x, y)V(x,y) and which have the 'slope function' γ ( x , y ) = f y / f x γ ( x , y ) = f y / f x gamma(x,y)=f_(y)//f_(x)\gamma(x, y)=f_{y} / f_{x}γ(x,y)=fy/fx, satisfy the second order nonlinear PDE (Bozis 1995)
γ 2 γ x x 2 γ γ x y + γ y y = h γ 2 γ x x 2 γ γ x y + γ y y = h gamma^(2)gamma_(xx)-2gammagamma_(xy)+gamma_(yy)=h\gamma^{2} \gamma_{x x}-2 \gamma \gamma_{x y}+\gamma_{y y}=hγ2γxx2γγxy+γyy=h,
where
h = γ y γ γ x V x + γ V y × (2) ( γ x V x ( 2 γ γ x 3 γ y ) V y γ ( V x x V y y ) ( γ 2 1 ) V x y ) h = γ y γ γ x V x + γ V y × (2) γ x V x 2 γ γ x 3 γ y V y γ V x x V y y γ 2 1 V x y {:[h=(gamma_(y)-gammagamma_(x))/(V_(x)+gammaV_(y))xx],[(2)(gamma_(x)V_(x)-(2gammagamma_(x)-3gamma_(y))V_(y)-gamma(V_(xx)-V_(yy)):}],[{:-(gamma^(2)-1)V_(xy))]:}\begin{align*} h= & \frac{\gamma_{y}-\gamma \gamma_{x}}{V_{x}+\gamma V_{y}} \times \\ & \left(\gamma_{x} V_{x}-\left(2 \gamma \gamma_{x}-3 \gamma_{y}\right) V_{y}-\gamma\left(V_{x x}-V_{y y}\right)\right. \tag{2}\\ & \left.-\left(\gamma^{2}-1\right) V_{x y}\right) \end{align*}h=γyγγxVx+γVy×(2)(γxVx(2γγx3γy)Vyγ(VxxVyy)(γ21)Vxy)
Having in mind a pair ( V ( x , y ) , γ ( x , y ) V ( x , y ) , γ ( x , y ) V(x,y),gamma(x,y)V(x, y), \gamma(x, y)V(x,y),γ(x,y) ) satisfying the above PDE (1), let us denote by B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) the 'boundary function’
B ( x , y ) = V x + γ V y γ y γ γ x B ( x , y ) = V x + γ V y γ y γ γ x 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}}B(x,y)=Vx+γVyγyγγx.
Families of straight lines for which γ γ x γ y = 0 γ γ x γ y = 0 gammagamma_(x)-gamma_(y)=0\gamma \gamma_{x}-\gamma_{y}=0γγxγy=0 and V x + γ V y = 0 V x + γ V y = 0 V_(x)+gammaV_(y)=0V_{x}+\gamma V_{y}=0Vx+γVy=0 (Bozis & Anisiu 2001) are excluded from our study, as both h h hhh and B B BBB are indeterminate.
As we know (Bozis & Ichtiaroglou 1994), in general, the inequality
(4) B ( x , y ) 0 (4) B ( x , y ) 0 {:(4)B(x","y) >= 0:}\begin{equation*} B(x, y) \geq 0 \tag{4} \end{equation*}(4)B(x,y)0
determines the region T orb T orb  T_("orb ")T_{\text {orb }}Torb  of the x y x y xyx yxy plane where the potential V ( x , y ) V ( x , y ) V(x,y)V(x, y)V(x,y) creates real orbits or real parts of the orbits belonging to the family with slope function γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y). On these grounds, we shall refer to B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) as the 'boundary
function' for the compatible pair ( V ( x , y ) , γ ( x , y ) ) ( V ( x , y ) , γ ( x , y ) ) (V(x,y),gamma(x,y))(V(x, y), \gamma(x, y))(V(x,y),γ(x,y)). Apparently, the pair ( V ( x , y ) , γ ( x , y ) ) ( V ( x , y ) , γ ( x , y ) ) (-V(x,y),gamma(x,y))(-V(x, y), \gamma(x, y))(V(x,y),γ(x,y)) is compatible outside the region T orb T orb  T_("orb ")T_{\text {orb }}Torb .
Conversely, if we have in mind only a specific region T orb T orb  T_("orb ")T_{\text {orb }}Torb  of the x y x y xyx yxy 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 ) B(x,y)B(x, y)B(x,y) is also not known to us. In fact, the boundary function B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) is not known even if one of the functions γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) or V ( x , y ) V ( x , y ) V(x,y)V(x, y)V(x,y) is not given.
We restrict ourselves to regions which are described by one inequality, say
b ( x , y ) 0 b ( x , y ) 0 b(x,y) >= 0b(x, y) \geq 0b(x,y)0,
and impose the condition that the function B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) corresponding to a pair ( V ( x , y ) , γ ( x , y ) V ( x , y ) , γ ( x , y ) V(x,y),gamma(x,y)V(x, y), \gamma(x, y)V(x,y),γ(x,y) ) defines the same region (4) as the inequality (5) does. We interpret this by stating that there must exist a nonvanishing function Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(x,y), in a region T 0 T 0 T_(0)T_{0}T0 broader from the region T orb T orb  T_("orb ")T_{\text {orb }}Torb , such that
(6) B ( x , y ) = b ( x , y ) Θ ( x , y ) (6) B ( x , y ) = b ( x , y ) Θ ( x , y ) {:(6)B(x","y)=b(x","y)Theta(x","y):}\begin{equation*} B(x, y)=b(x, y) \Theta(x, y) \tag{6} \end{equation*}(6)B(x,y)=b(x,y)Θ(x,y)
with
Θ ( x , y ) 0 , ( x , y ) T 0 , Θ ~ ( x , y ) Θ ( x , y ) 0 , ( x , y ) T 0 , Θ ~ ( x , y ) 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 \inftyΘ(x,y)0,(x,y)T0,Θ~(x,y),
where Θ ~ ( x , y ) Θ ~ ( x , y ) tilde(Theta)(x,y)\tilde{\Theta}(x, y)Θ~(x,y) denotes the (one-variable) function Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(x,y) evaluated at the points of the curve b ( x , y ) = 0 b ( x , y ) = 0 b(x,y)=0b(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 ) f(x,y)=y-H(x)f(x, y)=y-H(x)f(x,y)=yH(x), Anisiu & Bozis (2000) solved the problem of programmed motion by taking B = b B = b B=bB=bB=b, i.e. Θ = 1 Θ = 1 Theta=1\Theta=1Θ=1. The generalizing step made in the present study refers to this multiplier Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(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 γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) and boundary functions B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) as follows: Solving Eq. (3) for γ γ x γ y γ γ x γ y gammagamma_(x)-gamma_(y)\gamma \gamma_{x}-\gamma_{y}γγxγy and taking derivatives in x x xxx and y y yyy we obtain respectively
γ γ x x γ x y = h 1 , γ γ x y γ y y = h 2 γ γ x x γ x y = h 1 , γ γ x y γ y y = h 2 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}γγxxγxy=h1,γγxyγyy=h2,
where h 1 h 1 h_(1)h_{1}h1 and h 2 h 2 h_(2)h_{2}h2 are functions of γ γ gamma\gammaγ and B B BBB and first order partial derivatives of them, and also of first and second order derivatives of V V VVV. We now see that the algebraic system of the three Eqs. (1) and (8) in γ x x , γ x y , γ y y γ x x , γ x y , γ y y gamma_(xx),gamma_(xy),gamma_(yy)\gamma_{x x}, \gamma_{x y}, \gamma_{y y}γxx,γxy,γyy is indeterminate and this implies that h γ h 1 + h 2 = 0 h γ h 1 + h 2 = 0 h-gammah_(1)+h_(2)=0h-\gamma h_{1}+h_{2}=0hγh1+h2=0 or, after some algebra,
γ = B y + 2 V y B x γ = B y + 2 V y B x gamma=(B_(y)+2V_(y))/(B_(x))\gamma=\frac{B_{y}+2 V_{y}}{B_{x}}γ=By+2VyBx.
We solve Eqs. (3) and (9) for V x , V y V x , V y V_(x),V_(y)V_{x}, V_{y}Vx,Vy and we find
V x = B ( γ γ x γ y ) + 1 2 γ ( B y γ B x ) V x = B γ γ x γ y + 1 2 γ B y γ B x 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)Vx=B(γγxγy)+12γ(ByγBx),
V y = 1 2 ( B y γ B x ) V y = 1 2 B y γ B x V_(y)=-(1)/(2)(B_(y)-gammaB_(x))V_{y}=-\frac{1}{2}\left(B_{y}-\gamma B_{x}\right)Vy=12(ByγBx).
The above formulae (10) serve to determine the potential, when a compatible pair ( B ( x , y ) , γ ( x , y ) B ( x , y ) , γ ( x , y ) B(x,y),gamma(x,y)B(x, y), \gamma(x, y)B(x,y),γ(x,y) ) is given. This
compatibility is ensured by the requirement that V x y = V y x V x y = V y x V_(xy)=V_(yx)V_{x y}=V_{y x}Vxy=Vyx and implies that the PDE
B x x + k B x y + B y y = λ B x + μ B y + ν B B x x + k B x y + B y y = λ B x + μ B y + ν B -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^{*} BBxx+kBxy+Byy=λBx+μBy+νB,
where
k = 1 γ 2 γ , λ = γ x + 2 γ γ y γ k = 1 γ 2 γ , λ = γ x + 2 γ γ y γ 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}k=1γ2γ,λ=γx+2γγyγ,
μ = 2 γ γ x 3 γ y γ μ = 2 γ γ x 3 γ y γ mu^(**)=(2gammagamma_(x)-3gamma_(y))/(gamma)\mu^{*}=\frac{2 \gamma \gamma_{x}-3 \gamma_{y}}{\gamma}μ=2γγx3γyγ,
(12) ν = 2 ( γ x γ y γ y y + γ γ x y ) γ (12) ν = 2 γ x γ y γ y y + γ γ x y γ {:(12)nu^(**)=(2(gamma_(x)gamma_(y)-gamma_(yy)+gammagamma_(xy)))/(gamma):}\begin{equation*} \nu^{*}=\frac{2\left(\gamma_{x} \gamma_{y}-\gamma_{y y}+\gamma \gamma_{x y}\right)}{\gamma} \tag{12} \end{equation*}(12)ν=2(γxγyγyy+γγxy)γ
is satisfied. Equation (11) can also be derived directly from Szebehely's equation (Anisiu 2003).
An alternative form of formula (11) is
2 B ( γ γ x y γ y y + γ x γ y ) + ( B x + 2 γ B y ) γ x (13) + ( 2 γ B x 3 B y ) γ y + B x y γ 2 + ( B x x B y y ) γ B x y = 0 2 B γ γ x y γ y y + γ x γ y + B x + 2 γ B y γ x (13) + 2 γ B x 3 B y γ y + B x y γ 2 + B x x B y y γ B x y = 0 {:[2B(gammagamma_(xy)-gamma_(yy)+gamma_(x)gamma_(y))+(B_(x)+2gammaB_(y))gamma_(x)],[(13)quad+(2gammaB_(x)-3B_(y))gamma_(y)+B_(xy)gamma^(2)],[quad+(B_(xx)-B_(yy))gamma-B_(xy)=0]:}\begin{align*} & 2 B\left(\gamma \gamma_{x y}-\gamma_{y y}+\gamma_{x} \gamma_{y}\right)+\left(B_{x}+2 \gamma B_{y}\right) \gamma_{x} \\ & \quad+\left(2 \gamma B_{x}-3 B_{y}\right) \gamma_{y}+B_{x y} \gamma^{2} \tag{13}\\ & \quad+\left(B_{x x}-B_{y y}\right) \gamma-B_{x y}=0 \end{align*}2B(γγxyγyy+γxγy)+(Bx+2γBy)γx(13)+(2γBx3By)γy+Bxyγ2+(BxxByy)γBxy=0
This is better suited for finding γ γ gamma\gammaγ when B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) is given.
Inserting in Eq. (1) the function γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y), as given by (9), we find the PDE
B [ ( B y 2 V y ) 2 B x x 2 B x ( B y + 2 V y ) B x y (14) + B x 2 B y y + 2 V y y B x 2 2 V x y B x B y 4 V y V x y B x ] = B x 2 ( V x B x + V y B y + 2 V y 2 ) B B y 2 V y 2 B x x 2 B x B y + 2 V y B x y (14) + B x 2 B y y + 2 V y y B x 2 2 V x y B x B y 4 V y V x y B x = B x 2 V x B x + V y B y + 2 V y 2 {:[B[(B_(y)-2V_(y))^(2)B_(xx)-2B_(x)(B_(y)+2V_(y))B_(xy):}],[(14)quad+B_(x)^(2)B_(yy)+2V_(yy)B_(x)^(2)-2V_(xy)B_(x)B_(y)],[{: quad-4V_(y)V_(xy)B_(x)]=B_(x)^(2)(V_(x)B_(x)+V_(y)B_(y)+2V_(y)^(2))]:}\begin{align*} & B\left[\left(B_{y}-2 V_{y}\right)^{2} B_{x x}-2 B_{x}\left(B_{y}+2 V_{y}\right) B_{x y}\right. \\ & \quad+B_{x}^{2} B_{y y}+2 V_{y y} B_{x}^{2}-2 V_{x y} B_{x} B_{y} \tag{14}\\ & \left.\quad-4 V_{y} V_{x y} B_{x}\right]=B_{x}^{2}\left(V_{x} B_{x}+V_{y} B_{y}+2 V_{y}^{2}\right) \end{align*}B[(By2Vy)2Bxx2Bx(By+2Vy)Bxy(14)+Bx2Byy+2VyyBx22VxyBxBy4VyVxyBx]=Bx2(VxBx+VyBy+2Vy2)
which relates potentials V V VVV and boundary functions B B BBB, and which is nonlinear in both variables V V VVV and B B BBB. Equation (14) can also be derived from the corresponding equation given by Bozis (1996) for nonconservative fields.

3.1 Remarks

  1. If we insert (10) into (1), we obtain again the same PDE (11), relating families γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) to boundary functions B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y).
  2. If (11) is satisfied by the pair ( γ , B γ , B gamma,B\gamma, Bγ,B ) which is associated with the potential V V VVV, it is also satisfied by the pair ( γ , k 0 B ) γ , k 0 B (gamma,k_(0)B)\left(\gamma, k_{0} B\right)(γ,k0B), now associated with the potential k 0 V k 0 V k_(0)Vk_{0} Vk0V, where k 0 k 0 k_(0)k_{0}k0 is a constant. This remark also applies to Eq. (14).
  3. As seen from (11), for a certain family γ γ gamma\gammaγ there may exist, in general, as many boundary functions B B BBB as two arbitrary functions allow. Each of these B B BBB 's specifies which members of γ γ gamma\gammaγ are lying inside which region. Each B B BBB, of course, is associated with one (except for an additive constant) of the potentials given by (10) which can generate the given family.
  4. If γ γ gamma\gammaγ is homogeneous of degree zero, then so is k k k^(**)k^{*}k, whereas λ , μ λ , μ lambda^(**),mu^(**)\lambda^{*}, \mu^{*}λ,μ are of degree -1 and ν ν nu^(**)\nu^{*}ν is of degree -2 . If, in addition to that, B B BBB is homogeneous of degree n n nnn, all terms in (11) are of degree n 2 n 2 n-2n-2n2.
    Moreover, due to the linearity of (11), if the function B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) is weighted homogeneous of degrees e.g. n 1 n 1 n_(1)n_{1}n1 and n 2 n 2 n_(2)n_{2}n2 (i.e. B B BBB is the sum of two homogeneous expressions of degrees n 1 n 1 n_(1)n_{1}n1 and n 2 n 2 n_(2)n_{2}n2 ), then the entire Eq. (11) will lead to a weighted homogeneous expression of degrees n 1 2 n 1 2 n_(1)-2n_{1}-2n12 and n 2 2 n 2 2 n_(2)-2n_{2}-2n22. We shall make use of this remark in Sect. 5.

3.2 Example

Consider the family of concentric circles γ = y / x γ = y / x gamma=y//x\gamma=y / xγ=y/x produced by all potentials
V ( r , θ ) = g ( r ) + 1 r 2 h ( θ ) V ( r , θ ) = g ( r ) + 1 r 2 h ( θ ) V(r,theta)=g(r)+(1)/(r^(2))h(theta)V(r, \theta)=g(r)+\frac{1}{r^{2}} h(\theta)V(r,θ)=g(r)+1r2h(θ),
where r , θ r , θ r,thetar, \thetar,θ are polar coordinates and g ( r ) , h ( θ ) g ( r ) , h ( θ ) g(r),h(theta)g(r), h(\theta)g(r),h(θ) arbitrary functions (Broucke & Lass 1977). The corresponding boundary function is found from (3):
B ( r , θ ) = cos 2 θ r 2 ( r 3 d g d r 2 h ) B ( r , θ ) = cos 2 θ r 2 r 3 d g d r 2 h 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)B(r,θ)=cos2θr2(r3dgdr2h).
All formulae (9) to (14) can be verified for this particular example. The presence of the arbitrary functions g ( r ) g ( r ) g(r)g(r)g(r) and h ( θ ) h ( θ ) h(theta)h(\theta)h(θ) 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 x y x y xyx yxy 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 ) , γ ( x , y ) ) ( V ( x , y ) , γ ( x , y ) ) (V(x,y),gamma(x,y))(V(x, y), \gamma(x, y))(V(x,y),γ(x,y)) corresponding to the given V V VVV. According to (3), each of these pairs is accompanied by a certain function B B BBB which, once V V VVV and b b bbb 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 B B BBB (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 ) B(x,y),V(x,y)B(x, y), V(x, y)B(x,y),V(x,y) ) there corresponds one monoparametric family γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(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 ) g(r)g(r)g(r) and h ( ϑ ) h ( ϑ ) h(vartheta)h(\vartheta)h(ϑ) ) there correspond infinitely many functions B ( x , y ) B ( x , y ) B(x,y)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 ) B(x,y)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 ) b(x,y)b(x, y)b(x,y) and of the unknown function γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y). This equation reads
b ( Θ x x + K Θ x y + Θ y y ) (17) L Θ x M Θ y N Θ = 0 , b Θ x x + K Θ x y + Θ y y (17) L Θ x M Θ y N Θ = 0 , {:[b(-Theta_(xx)+KTheta_(xy)+Theta_(yy))],[(17)quad-LTheta_(x)-MTheta_(y)-N Theta=0","]:}\begin{align*} & b\left(-\Theta_{x x}+K \Theta_{x y}+\Theta_{y y}\right) \\ & \quad-L \Theta_{x}-M \Theta_{y}-N \Theta=0, \tag{17} \end{align*}b(Θxx+KΘxy+Θyy)(17)LΘxMΘyNΘ=0,
where
K = k , L = λ b + 2 b x k b y (18) M = b μ k b x 2 b y N = ν b + λ b x + μ b y + b x x k b x y b y y K = k , L = λ b + 2 b x k b y (18) M = b μ k b x 2 b y N = ν b + λ b x + μ b y + b x x k b x y b y y {:[K=k^(**)","quad L=lambda^(**)b+2b_(x)-k^(**)b_(y)],[(18)M=bmu^(**)-k^(**)b_(x)-2b_(y)],[N=nu^(**)b+lambda^(**)b_(x)+mu^(**)b_(y)+b_(xx)-k^(**)b_(xy)-b_(yy)]:}\begin{align*} & K=k^{*}, \quad L=\lambda^{*} b+2 b_{x}-k^{*} b_{y} \\ & M=b \mu^{*}-k^{*} b_{x}-2 b_{y} \tag{18}\\ & N=\nu^{*} b+\lambda^{*} b_{x}+\mu^{*} b_{y}+b_{x x}-k^{*} b_{x y}-b_{y y} \end{align*}K=k,L=λb+2bxkby(18)M=bμkbx2byN=νb+λbx+μby+bxxkbxybyy
and where k , λ , μ , ν k , λ , μ , ν k^(**),lambda^(**),mu^(**),nu^(**)k^{*}, \lambda^{*}, \mu^{*}, \nu^{*}k,λ,μ,ν, given by (12), depend merely on γ γ gamma\gammaγ and its derivatives.
At first sight, it seems as if, except for b b bbb, we can also give in advance the family γ γ gamma\gammaγ and ask for solutions Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(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 Θ Θ Theta\ThetaΘ of (17) may not exist for any preassigned γ γ gamma\gammaγ. Indeed, the fact that b b bbb is fixed a priori reduces the set of boundary functions B ( x , y ) B ( x , y ) B(x,y)B(x, y)B(x,y) (as Eq. 6 suggests) and, according to (11), does not allow for any functions γ γ gamma\gammaγ 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
(19) g ( x , y ) c 0 , (19) g ( x , y ) c 0 , {:(19)g(x","y) <= c_(0)",":}\begin{equation*} g(x, y) \leq c_{0}, \tag{19} \end{equation*}(19)g(x,y)c0,
where g g ggg is homogeneous of degree m 0 m 0 m!=0m \neq 0m0, and c 0 c 0 c_(0)c_{0}c0 is a nonzero constant. Comparing (19) to (5) we take
(20) b = c 0 x m b 0 ( z ) , z = y x (20) b = c 0 x m b 0 ( z ) , z = y x {:(20)b=c_(0)-x^(m)b_(0)(z)","quad z=(y)/(x):}\begin{equation*} b=c_{0}-x^{m} b_{0}(z), \quad z=\frac{y}{x} \tag{20} \end{equation*}(20)b=c0xmb0(z),z=yx
where b 0 0 b 0 0 b_(0)!=0b_{0} \neq 0b00.
(ii) The required slope functions γ γ gamma\gammaγ are homogeneous of degree zero. i.e.
(21) γ = γ ( z ) . (21) γ = γ ( z ) . {:(21)gamma=gamma(z).:}\begin{equation*} \gamma=\gamma(z) . \tag{21} \end{equation*}(21)γ=γ(z).
(iii) The functions Θ Θ Theta\ThetaΘ to be determined are also homogeneous of degree k k kkk, i.e.
(22) Θ ( x , y ) = x k Θ 0 ( z ) , (22) Θ ( x , y ) = x k Θ 0 ( z ) , {:(22)Theta(x","y)=x^(k)Theta_(0)(z)",":}\begin{equation*} \Theta(x, y)=x^{k} \Theta_{0}(z), \tag{22} \end{equation*}(22)Θ(x,y)=xkΘ0(z),
where Θ 0 0 Θ 0 0 Theta_(0)!=0\Theta_{0} \neq 0Θ00.
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.
(23) R 1 x k + R 2 x m + k = 0 , (23) R 1 x k + R 2 x m + k = 0 , {:(23)R_(1)x^(k)+R_(2)x^(m+k)=0",":}\begin{equation*} R_{1} x^{k}+R_{2} x^{m+k}=0, \tag{23} \end{equation*}(23)R1xk+R2xm+k=0,
where R 1 R 1 R_(1)R_{1}R1 and R 2 R 2 R_(2)R_{2}R2 are functions of z z zzz.
Both R 1 R 1 R_(1)R_{1}R1 and R 2 R 2 R_(2)R_{2}R2 must vanish identically, and this leads to the two equations (the dots representing differentiation with respect to z z zzz )
(24) 2 Θ 0 ( z γ + 1 ) γ ¨ + 2 Θ 0 z γ ˙ 2 + k 1 γ ˙ + k 0 = 0 , (24) 2 Θ 0 ( z γ + 1 ) γ ¨ + 2 Θ 0 z γ ˙ 2 + k 1 γ ˙ + k 0 = 0 , {:(24)2Theta_(0)(z gamma+1)gamma^(¨)+2Theta_(0)zgamma^(˙)^(2)+k_(1)gamma^(˙)+k_(0)=0",":}\begin{equation*} 2 \Theta_{0}(z \gamma+1) \ddot{\gamma}+2 \Theta_{0} z \dot{\gamma}^{2}+k_{1} \dot{\gamma}+k_{0}=0, \tag{24} \end{equation*}(24)2Θ0(zγ+1)γ¨+2Θ0zγ˙2+k1γ˙+k0=0,
2 b 0 Θ 0 ( z γ + 1 ) γ ¨ + 2 b 0 Θ 0 z γ ˙ 2 + m 1 γ ˙ + m 0 = 0 2 b 0 Θ 0 ( z γ + 1 ) γ ¨ + 2 b 0 Θ 0 z γ ˙ 2 + m 1 γ ˙ + m 0 = 0 2b_(0)Theta_(0)(z gamma+1)gamma^(¨)+2b_(0)Theta_(0)zgamma^(˙)^(2)+m_(1)gamma^(˙)+m_(0)=02 b_{0} \Theta_{0}(z \gamma+1) \ddot{\gamma}+2 b_{0} \Theta_{0} z \dot{\gamma}^{2}+m_{1} \dot{\gamma}+m_{0}=02b0Θ0(zγ+1)γ¨+2b0Θ0zγ˙2+m1γ˙+m0=0,
where (arranged in Θ 0 , Θ ˙ 0 , Θ ¨ 0 Θ 0 , Θ ˙ 0 , Θ ¨ 0 Theta_(0),Theta^(˙)_(0),Theta^(¨)_(0)\Theta_{0}, \dot{\Theta}_{0}, \ddot{\Theta}_{0}Θ0,Θ˙0,Θ¨0 )
(26) k 1 = k 10 Θ 0 + k 1 d Θ ˙ 0 , k 0 = k 00 Θ 0 + k 0 d Θ ˙ 0 + k 0 d d Θ ¨ 0 (26) k 1 = k 10 Θ 0 + k 1 d Θ ˙ 0 , k 0 = k 00 Θ 0 + k 0 d Θ ˙ 0 + k 0 d d Θ ¨ 0 {:(26)k_(1)=k_(10)Theta_(0)+k_(1d)Theta^(˙)_(0)","k_(0)=k_(00)Theta_(0)+k_(0d)Theta^(˙)_(0)+k_(0dd)Theta^(¨)_(0):}\begin{equation*} k_{1}=k_{10} \Theta_{0}+k_{1 d} \dot{\Theta}_{0}, k_{0}=k_{00} \Theta_{0}+k_{0 d} \dot{\Theta}_{0}+k_{0 d d} \ddot{\Theta}_{0} \tag{26} \end{equation*}(26)k1=k10Θ0+k1dΘ˙0,k0=k00Θ0+k0dΘ˙0+k0ddΘ¨0
with
k 10 = 2 ( 1 k ) γ + k z , k 1 d = 4 z γ z 2 + 3 k 10 = 2 ( 1 k ) γ + k z , k 1 d = 4 z γ z 2 + 3 k_(10)=2(1-k)gamma+kz,k_(1d)=4z gamma-z^(2)+3k_{10}=2(1-k) \gamma+k z, k_{1 d}=4 z \gamma-z^{2}+3k10=2(1k)γ+kz,k1d=4zγz2+3,
k 00 = k ( 1 k ) γ , k 0 d = ( 1 k ) ( γ 2 2 z γ 1 ) k 00 = k ( 1 k ) γ , k 0 d = ( 1 k ) γ 2 2 z γ 1 k_(00)=k(1-k)gamma,k_(0d)=(1-k)(gamma^(2)-2z gamma-1)k_{00}=k(1-k) \gamma, k_{0 d}=(1-k)\left(\gamma^{2}-2 z \gamma-1\right)k00=k(1k)γ,k0d=(1k)(γ22zγ1),
k 0 d d = z γ 2 + ( 1 z 2 ) γ z k 0 d d = z γ 2 + 1 z 2 γ z k_(0dd)=zgamma^(2)+(1-z^(2))gamma-zk_{0 d d}=z \gamma^{2}+\left(1-z^{2}\right) \gamma-zk0dd=zγ2+(1z2)γz,
and
m 1 = m 10 Θ 0 + m 1 d Θ ˙ 0 m 1 = m 10 Θ 0 + m 1 d Θ ˙ 0 m_(1)=m_(10)Theta_(0)+m_(1d)Theta^(˙)_(0)m_{1}=m_{10} \Theta_{0}+m_{1 d} \dot{\Theta}_{0}m1=m10Θ0+m1dΘ˙0,
(28) m 0 = m 00 Θ 0 + m 0 d Θ ˙ 0 + m 0 d d Θ ¨ 00 (28) m 0 = m 00 Θ 0 + m 0 d Θ ˙ 0 + m 0 d d Θ ¨ 00 {:(28)m_(0)=m_(00)Theta_(0)+m_(0d)Theta^(˙)_(0)+m_(0dd)Theta^(¨)_(00):}\begin{equation*} m_{0}=m_{00} \Theta_{0}+m_{0 d} \dot{\Theta}_{0}+m_{0 d d} \ddot{\Theta}_{00} \tag{28} \end{equation*}(28)m0=m00Θ0+m0dΘ˙0+m0ddΘ¨00
with (arranged in b 0 , b ˙ 0 , b ¨ 0 b 0 , b ˙ 0 , b ¨ 0 b_(0),b^(˙)_(0),b^(¨)_(0)b_{0}, \dot{b}_{0}, \ddot{b}_{0}b0,b˙0,b¨0 )
m 10 = b 0 ( 2 ( k + m 1 ) γ ( k + m ) z ) (29) + b ˙ 0 ( 4 z γ z 2 + 3 ) , m 1 d = b 0 ( 4 z γ z 2 + 3 ) , m 10 = b 0 ( 2 ( k + m 1 ) γ ( k + m ) z ) (29) + b ˙ 0 4 z γ z 2 + 3 , m 1 d = b 0 4 z γ z 2 + 3 , {:[m_(10)=-b_(0)(2(k+m-1)gamma-(k+m)z)],[(29)quad+b^(˙)_(0)(4z gamma-z^(2)+3)","quadm_(1d)=b_(0)(4z gamma-z^(2)+3)","]:}\begin{align*} & m_{10}=-b_{0}(2(k+m-1) \gamma-(k+m) z) \\ & \quad+\dot{b}_{0}\left(4 z \gamma-z^{2}+3\right), \quad m_{1 d}=b_{0}\left(4 z \gamma-z^{2}+3\right), \tag{29} \end{align*}m10=b0(2(k+m1)γ(k+m)z)(29)+b˙0(4zγz2+3),m1d=b0(4zγz2+3),
m 00 = b 0 ( k + m ) ( k + m 1 ) γ m 00 = b 0 ( k + m ) ( k + m 1 ) γ m_(00)=-b_(0)(k+m)(k+m-1)gammam_{00}=-b_{0}(k+m)(k+m-1) \gammam00=b0(k+m)(k+m1)γ
b ˙ 0 ( k + m 1 ) ( γ 2 2 z γ 1 ) + b ¨ 0 ( γ z ) ( z γ + 1 ) , b ˙ 0 ( k + m 1 ) γ 2 2 z γ 1 + b ¨ 0 ( γ z ) ( z γ + 1 ) , {:[-b^(˙)_(0)(k+m-1)(gamma^(2)-2z gamma-1)],[+b^(¨)_(0)(gamma-z)(z gamma+1)","]:}\begin{aligned} & -\dot{b}_{0}(k+m-1)\left(\gamma^{2}-2 z \gamma-1\right) \\ & +\ddot{b}_{0}(\gamma-z)(z \gamma+1), \end{aligned}b˙0(k+m1)(γ22zγ1)+b¨0(γz)(zγ+1),
(30) m 0 d = b 0 ( k + m 1 ) ( γ 2 2 z γ 1 ) (30) m 0 d = b 0 ( k + m 1 ) γ 2 2 z γ 1 {:(30)m_(0d)=-b_(0)(k+m-1)(gamma^(2)-2z gamma-1):}\begin{equation*} m_{0 d}=-b_{0}(k+m-1)\left(\gamma^{2}-2 z \gamma-1\right) \tag{30} \end{equation*}(30)m0d=b0(k+m1)(γ22zγ1)
+ 2 b ˙ 0 ( γ z ) ( z γ + 1 ) , + 2 b ˙ 0 ( γ z ) ( z γ + 1 ) , +2b^(˙)_(0)(gamma-z)(z gamma+1),+2 \dot{b}_{0}(\gamma-z)(z \gamma+1),+2b˙0(γz)(zγ+1),
m 0 d d = b 0 ( γ z ) ( z γ + 1 ) m 0 d d = b 0 ( γ z ) ( z γ + 1 ) m_(0dd)=b_(0)(gamma-z)(z gamma+1)m_{0 d d}=b_{0}(\gamma-z)(z \gamma+1)m0dd=b0(γz)(zγ+1).
Our hypotheses ( b 0 0 , Θ 0 0 b 0 0 , Θ 0 0 (b_(0)!=0,Theta_(0)!=0:}\left(b_{0} \neq 0, \Theta_{0} \neq 0\right.(b00,Θ00 and straight lines excluded) assure that the coefficient of γ ¨ γ ¨ gamma^(¨)\ddot{\gamma}γ¨ 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 ) γ ˙ + m 0 b 0 k 0 = 0 m 1 b 0 k 1 γ ˙ + m 0 b 0 k 0 = 0 (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(m1b0k1)γ˙+m0b0k0=0.
If we set
(32) Θ ˙ 0 = w Θ 0 , b ˙ 0 = r b 0 (32) Θ ˙ 0 = w Θ 0 , b ˙ 0 = r b 0 {:(32)Theta^(˙)_(0)=wTheta_(0)","quadb^(˙)_(0)=rb_(0):}\begin{equation*} \dot{\Theta}_{0}=w \Theta_{0}, \quad \dot{b}_{0}=r b_{0} \tag{32} \end{equation*}(32)Θ˙0=wΘ0,b˙0=rb0
we also have
Θ ¨ 0 = ( w ˙ + w 2 ) Θ 0 , b ¨ 0 = ( r ˙ + r 2 ) b 0 Θ ¨ 0 = w ˙ + w 2 Θ 0 , b ¨ 0 = r ˙ + r 2 b 0 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}Θ¨0=(w˙+w2)Θ0,b¨0=(r˙+r2)b0.
From (31) we then obtain (for m 1 b 0 k 1 0 m 1 b 0 k 1 0 m_(1)-b_(0)k_(1)!=0m_{1}-b_{0} k_{1} \neq 0m1b0k10 )
γ ˙ = Γ 2 γ 2 + Γ 1 γ + Γ 0 Δ 1 γ + Δ 0 γ ˙ = Γ 2 γ 2 + Γ 1 γ + Γ 0 Δ 1 γ + Δ 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}}γ˙=Γ2γ2+Γ1γ+Γ0Δ1γ+Δ0,
where
(35) Γ 2 = Γ 00 + Γ 01 w , Γ 1 = Γ 10 + Γ 11 w , Γ 0 = Γ 2 , Γ 00 = ( 1 k m ) r + z ( r ˙ + r 2 ) , Γ 01 = 2 z r m Γ 10 = m ( 1 2 k m ) 2 ( 1 k m ) z r (36) + ( 1 z 2 ) ( r ˙ + r 2 ) Γ 11 = 2 ( r + m z r z 2 ) , (35) Γ 2 = Γ 00 + Γ 01 w , Γ 1 = Γ 10 + Γ 11 w , Γ 0 = Γ 2 , Γ 00 = ( 1 k m ) r + z r ˙ + r 2 , Γ 01 = 2 z r m Γ 10 = m ( 1 2 k m ) 2 ( 1 k m ) z r (36) + 1 z 2 r ˙ + r 2 Γ 11 = 2 r + m z r z 2 , {:[(35)Gamma_(2)=Gamma_(00)+Gamma_(01)w","Gamma_(1)=Gamma_(10)+Gamma_(11)w","Gamma_(0)=-Gamma_(2)","],[Gamma_(00)=(1-k-m)r+z((r^(˙))+r^(2))","Gamma_(01)=2zr-m],[Gamma_(10)=m(1-2k-m)-2(1-k-m)zr],[(36)+(1-z^(2))((r^(˙))+r^(2))],[Gamma_(11)=2(r+mz-rz^(2))","]:}\begin{align*} \Gamma_{2}= & \Gamma_{00}+\Gamma_{01} w, \Gamma_{1}=\Gamma_{10}+\Gamma_{11} w, \Gamma_{0}=-\Gamma_{2}, \tag{35}\\ \Gamma_{00}= & (1-k-m) r+z\left(\dot{r}+r^{2}\right), \Gamma_{01}=2 z r-m \\ \Gamma_{10}= & m(1-2 k-m)-2(1-k-m) z r \\ & +\left(1-z^{2}\right)\left(\dot{r}+r^{2}\right) \tag{36}\\ \Gamma_{11}= & 2\left(r+m z-r z^{2}\right), \end{align*}(35)Γ2=Γ00+Γ01w,Γ1=Γ10+Γ11w,Γ0=Γ2,Γ00=(1km)r+z(r˙+r2),Γ01=2zrmΓ10=m(12km)2(1km)zr(36)+(1z2)(r˙+r2)Γ11=2(r+mzrz2),
and
Δ 1 = 2 ( m 2 r z ) , Δ 0 = r z 2 m z 3 r Δ 1 = 2 ( m 2 r z ) , Δ 0 = r z 2 m z 3 r 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 rΔ1=2(m2rz),Δ0=rz2mz3r.
Also, the coefficients in the two Eqs. (24) and (25) may be freed from Θ 0 Θ 0 Theta_(0)\Theta_{0}Θ0 and be expressed in terms of the ratio w = Θ ˙ 0 / Θ 0 w = Θ ˙ 0 / Θ 0 w=Theta^(˙)_(0)//Theta_(0)w=\dot{\Theta}_{0} / \Theta_{0}w=Θ˙0/Θ0, given by (32). Besides that (and although b 0 b 0 b_(0)b_{0}b0 is known) the calculations suggest that, instead of b 0 b 0 b_(0)b_{0}b0, it is
simpler to use r = b ˙ 0 / b 0 r = b ˙ 0 / b 0 r=b^(˙)_(0)//b_(0)r=\dot{b}_{0} / b_{0}r=b˙0/b0, 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 + γ z ) γ ¨ + 2 z γ ˙ 2 + K 1 γ ˙ + K 0 = 0 2 ( 1 + γ z ) γ ¨ + 2 z γ ˙ 2 + K 1 γ ˙ + K 0 = 0 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}=02(1+γz)γ¨+2zγ˙2+K1γ˙+K0=0,
with the coefficients arranged in powers of γ γ gamma\gammaγ as follows
K 1 = K 11 γ + K 10 , K 0 = K 02 γ 2 + K 01 γ + K 00 K 1 = K 11 γ + K 10 , K 0 = K 02 γ 2 + K 01 γ + K 00 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}K1=K11γ+K10,K0=K02γ2+K01γ+K00,
where
(40) K 11 = 4 z w + 2 ( 1 k ) , K 10 = ( z 2 3 ) w + k z (40) K 11 = 4 z w + 2 ( 1 k ) , K 10 = z 2 3 w + k z {:(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*}(40)K11=4zw+2(1k),K10=(z23)w+kz
and
K 02 = ( 1 k ) w + z ( w ˙ + w 2 ) , K 00 = K 02 (41) K 01 = k ( 1 k ) 2 z ( 1 k ) w + ( 1 z 2 ) ( w ˙ + w 2 ) . K 02 = ( 1 k ) w + z w ˙ + w 2 , K 00 = K 02 (41) K 01 = k ( 1 k ) 2 z ( 1 k ) w + 1 z 2 w ˙ + w 2 . {:[K_(02)=(1-k)w+z((w^(˙))+w^(2))","quadK_(00)=-K_(02)],[(41)K_(01)=k(1-k)-2z(1-k)w],[+(1-z^(2))((w^(˙))+w^(2)).]:}\begin{align*} K_{02} & =(1-k) w+z\left(\dot{w}+w^{2}\right), \quad K_{00}=-K_{02} \\ K_{01} & =k(1-k)-2 z(1-k) w \tag{41}\\ & +\left(1-z^{2}\right)\left(\dot{w}+w^{2}\right) . \end{align*}K02=(1k)w+z(w˙+w2),K00=K02(41)K01=k(1k)2z(1k)w+(1z2)(w˙+w2).
So, now we have to deal with the two Eqs. (34) and (38), where the coefficients K 1 , K 0 K 1 , K 0 K_(1),K_(0)K_{1}, K_{0}K1,K0 in (38) are given by Eqs. (39)-(41) and the coefficients in the fraction (34) are given by Eqs. (35)-(37).
We consider m m mmm, r = b ˙ 0 / b 0 , c 0 r = b ˙ 0 / b 0 , c 0 r=b^(˙)_(0)//b_(0),c_(0)r=\dot{b}_{0} / b_{0}, c_{0}r=b˙0/b0,c0 (i.e. the boundary function b b bbb given by Eq. 20) as known and we try to find appropriate γ γ gamma\gammaγ 's satisfying the Eqs. (34) and (38). To this end we prepare γ ¨ γ ¨ gamma^(¨)\ddot{\gamma}γ¨ from (34) and insert into (38). In so doing, we obtain the quintic in γ γ gamma\gammaγ algebraic equation
α 5 γ 5 + α 4 γ 4 + α 3 γ 3 + α 2 γ 2 + α 1 γ + α 0 = 0 α 5 γ 5 + α 4 γ 4 + α 3 γ 3 + α 2 γ 2 + α 1 γ + α 0 = 0 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}=0α5γ5+α4γ4+α3γ3+α2γ2+α1γ+α0=0,
where the coefficients α 5 , α 4 , , α 0 α 5 , α 4 , , α 0 alpha_(5),alpha_(4),dots,alpha_(0)\alpha_{5}, \alpha_{4}, \ldots, \alpha_{0}α5,α4,,α0 are functions of z z zzz and w w www and its derivative of the first order.
We now differentiate (42) in z z zzz and we obtain γ ˙ γ ˙ gamma^(˙)\dot{\gamma}γ˙ which we equate to γ ˙ γ ˙ gamma^(˙)\dot{\gamma}γ˙ given by (34). In so doing we obtain the sixth order algebraic equation
(43) β 6 γ 6 + β 5 γ 5 + β 4 γ 4 + β 3 γ 3 + β 2 γ 2 + β 1 γ + β 0 = 0 (43) β 6 γ 6 + β 5 γ 5 + β 4 γ 4 + β 3 γ 3 + β 2 γ 2 + β 1 γ + β 0 = 0 {:(43)beta_(6)gamma^(6)+beta_(5)gamma^(5)+beta_(4)gamma^(4)+beta_(3)gamma^(3)+beta_(2)gamma^(2)+beta_(1)gamma+beta_(0)=0:}\begin{equation*} \beta_{6} \gamma^{6}+\beta_{5} \gamma^{5}+\beta_{4} \gamma^{4}+\beta_{3} \gamma^{3}+\beta_{2} \gamma^{2}+\beta_{1} \gamma+\beta_{0}=0 \tag{43} \end{equation*}(43)β6γ6+β5γ5+β4γ4+β3γ3+β2γ2+β1γ+β0=0
with the coefficients β 6 , β 5 , , β 0 β 6 , β 5 , , β 0 beta_(6),beta_(5),dots,beta_(0)\beta_{6}, \beta_{5}, \ldots, \beta_{0}β6,β5,,β0 functions of z z zzz and of w w www, w ˙ , w ¨ w ˙ , w ¨ w^(˙),w^(¨)\dot{w}, \ddot{w}w˙,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 w w www of the second order. A solution w w www of this equation (for a suitable k k kkk ) 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 0 m 1 b 0 k 1 0 m_(1)-b_(0)k_(1)!=0m_{1}-b_{0} k_{1} \neq 0m1b0k10, imposed from formula (34) on. Therefore we have to analyze also the case when m 1 b 0 k 1 = 0 m 1 b 0 k 1 = 0 m_(1)-b_(0)k_(1)=0m_{1}-b_{0} k_{1}=0m1b0k1=0, i. e.
Δ 1 γ + Δ 0 = 0 Δ 1 γ + Δ 0 = 0 Delta_(1)gamma+Delta_(0)=0\Delta_{1} \gamma+\Delta_{0}=0Δ1γ+Δ0=0.
We express γ γ gamma\gammaγ from Eq. (44) and substitute it in m 0 b 0 k 0 = m 0 b 0 k 0 = m_(0)-b_(0)k_(0)=m_{0}-b_{0} k_{0}=m0b0k0= 0, i. e. Γ 2 γ 2 + Γ 1 γ + Γ 0 = 0 Γ 2 γ 2 + Γ 1 γ + Γ 0 = 0 Gamma_(2)gamma^(2)+Gamma_(1)gamma+Gamma_(0)=0\Gamma_{2} \gamma^{2}+\Gamma_{1} \gamma+\Gamma_{0}=0Γ2γ2+Γ1γ+Γ0=0. We obtain then the value of w w www, and substitute γ γ gamma\gammaγ and w w www in Eq. (38); if there is any k k kkk 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 3 8 x 2 + y 2 + y 0 (3)/(8)x^(2)+y^(2)+y <= 0\frac{3}{8} x^{2}+y^{2}+y \leq 038x2+y2+y0,
which represents the interior of an ellipse. Apparently, the region (45) lies in the negative y y yyy 's, in fact it is tangent to the x x xxx-axis at the origin, its center is at the point ( 0 , 1 / 2 0 , 1 / 2 0,-1//20,-1 / 20,1/2 ) and its semi-axes (parallel to the coordinate axes x x xxx and y y yyy ) are 2 / 3 2 / 3 sqrt(2//3)\sqrt{2 / 3}2/3 and 1 / 2 1 / 2 1//21 / 21/2, respectively.
At first we write (45) in the form (19) as
g ( x , y ) = ( 3 x 2 8 y + y ) = x ( 3 8 z + z ) , c 0 = 1 g ( x , y ) = 3 x 2 8 y + y = x 3 8 z + z , c 0 = 1 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}=1g(x,y)=(3x28y+y)=x(38z+z),c0=1.
Therefore
m = 1 , b 0 ( z ) = ( 3 8 z + z ) , c 0 = 1 m = 1 , b 0 ( z ) = 3 8 z + z , c 0 = 1 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}=1m=1,b0(z)=(38z+z),c0=1,
and, in view of (20),
b ( x , y ) = 3 x 2 8 y + y + 1 b ( x , y ) = 3 x 2 8 y + y + 1 b(x,y)=(3x^(2))/(8y)+y+1b(x, y)=\frac{3 x^{2}}{8 y}+y+1b(x,y)=3x28y+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 = 3 k = 3 k=3k=3k=3, their Sylvester determinant vanishes when w = 1 / z w = 1 / z w=1//zw=1 / zw=1/z. So, in view of the Eq. (32) and the inequality (7) we obtain
Θ 0 ( z ) = z Θ 0 ( z ) = z Theta_(0)(z)=-z\Theta_{0}(z)=-zΘ0(z)=z,
meaning that, for the case at hand and according to (22), it is
Θ ( x , y ) = x 2 y Θ ( x , y ) = x 2 y Theta(x,y)=-x^(2)y\Theta(x, y)=-x^{2} yΘ(x,y)=x2y.
The function Θ Θ Theta\ThetaΘ satisfies the condition (7) with T 0 = { ( x , y ) : y 0 } T 0 = { ( x , y ) : y 0 } T_(0)={(x,y):y <= 0}T_{0}= \{(x, y): y \leq 0\}T0={(x,y):y0}. 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 ) = 3 8 x 4 + x 2 y 2 + x 2 y 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)B(x,y)=(38x4+x2y2+x2y).
With the function w ( z ) = 1 / z w ( z ) = 1 / z w(z)=1//zw(z)=1 / zw(z)=1/z, we write the Eqs. (42) and (43) and we look for a common solution of the form γ = γ ( z ) , z = y / x γ = γ ( z ) , z = y / x gamma=gamma(z),z=y//x\gamma= \gamma(z), z=y / xγ=γ(z),z=y/x, which is
γ = 2 3 z γ = 2 3 z gamma=-(2)/(3)z\gamma=-\frac{2}{3} zγ=23z.
Finally, with the aid of (51) and (52), we find from (10) the potential
(53) V ( x , y ) = 1 48 ( 3 x 4 + 36 x 2 y 2 + 8 y 4 ) 1 18 y ( 9 x 2 + 4 y 2 ) (53) V ( x , y ) = 1 48 3 x 4 + 36 x 2 y 2 + 8 y 4 1 18 y 9 x 2 + 4 y 2 {:[(53)V(x","y)=-(1)/(48)(3x^(4)+36x^(2)y^(2)+8y^(4))],[-(1)/(18)y(9x^(2)+4y^(2))]:}\begin{align*} V(x, y)= & -\frac{1}{48}\left(3 x^{4}+36 x^{2} y^{2}+8 y^{4}\right) \tag{53}\\ & -\frac{1}{18} y\left(9 x^{2}+4 y^{2}\right) \end{align*}(53)V(x,y)=148(3x4+36x2y2+8y4)118y(9x2+4y2)

7 General comments

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 γ γ gamma\gammaγ in terms of B B BBB and V V VVV and (ii) the two nonlinear PDEs (13) and (14), relating γ , B γ , B gamma,B\gamma, Bγ,B, and V , B V , B V,BV, 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 Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(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 Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(x,y) for any γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y). In fact, the finding of such pairs ( V , γ V , γ V,gammaV, \gammaV,γ ) is our objective. (Once γ γ gamma\gammaγ and Θ Θ Theta\ThetaΘ are found, we also have B = b Θ B = b Θ B=b ThetaB=b \ThetaB=bΘ.) Of course, in view of (14), to any potential V ( x , y ) V ( x , y ) V(x,y)V(x, y)V(x,y) producing a family γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) which we may suspect as possibly lying in the given region b ( x , y ) 0 b ( x , y ) 0 b(x,y) >= 0b(x, y) \geq 0b(x,y)0, there correspond infinitely many but definite functions B ( x , y ) B ( x , y ) B(x,y)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 ) 0 b ( x , y ) 0 b(x,y) >= 0b(x, y) \geq 0b(x,y)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 ) b(x,y)b(x, y)b(x,y), we can select appropriate functions Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(x,y) (or, even better, select forms of functions Θ ( x , y ) Θ ( x , y ) Theta(x,y)\Theta(x, y)Θ(x,y), introduced by certain constants) and consider B = b Θ B = b Θ B=b ThetaB=b \ThetaB=bΘ. Then, introduce this B B BBB in (13) and try to obtain solutions of (13) for γ ( x , y ) γ ( x , y ) gamma(x,y)\gamma(x, y)γ(x,y) again of a certain form by determining the constants.
Thus, e.g. for b ( x , y ) = x 2 + 3 x + y b ( x , y ) = x 2 + 3 x + y b(x,y)=-x^(2)+3x+yb(x, y)=-x^{2}+3 x+yb(x,y)=x2+3x+y, let us try Θ ( x , y ) = x 2 + 2 Θ 1 x y + Θ 2 y 2 Θ ( x , y ) = x 2 + 2 Θ 1 x y + Θ 2 y 2 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}Θ(x,y)=x2+2Θ1xy+Θ2y2 (which is a non-negative definite quadratic expression for Θ 1 2 Θ 2 Θ 1 2 Θ 2 Theta_(1)^(2) <= Theta_(2)\Theta_{1}^{2} \leq \Theta_{2}Θ12Θ2 ). With B ( x , y ) = b Θ B ( x , y ) = b Θ B(x,y)=b ThetaB(x, y)= b \ThetaB(x,y)=bΘ, let us now search for solutions γ γ gamma\gammaγ of the form γ ( x , y ) = γ 0 + γ 1 y / x γ ( x , y ) = γ 0 + γ 1 y / x gamma(x,y)=gamma_(0)+gamma_(1)y//x\gamma(x, y)= \gamma_{0}+\gamma_{1} y / xγ(x,y)=γ0+γ1y/x, with γ 1 0 γ 1 0 gamma_(1)!=0\gamma_{1} \neq 0γ10 (no straight lines). The formula (13) leads to a polynomial in x , y x , y x,yx, yx,y including fifth and fourth degree terms which becomes identically equal to zero if and only if: Θ 1 = Θ 2 = 0 Θ 1 = Θ 2 = 0 Theta_(1)=Theta_(2)=0\Theta_{1}=\Theta_{2}=0Θ1=Θ2=0 and γ 0 = 1 , γ 1 = 2 γ 0 = 1 , γ 1 = 2 gamma_(0)=1,gamma_(1)=-2\gamma_{0}=1, \gamma_{1}=-2γ0=1,γ1=2.
Therefore the family with γ = 1 2 y / x γ = 1 2 y / x gamma=1-2y//x\gamma=1-2 y / xγ=12y/x, whose members are lying 'in one side' of the parabola y x 2 3 x y x 2 3 x y >= x^(2)-3xy \geq x^{2}-3 xyx23x is f ( x , y ) = 4 y 3 x 3 3 x 2 y f ( x , y ) = 4 y 3 x 3 3 x 2 y f(x,y)=4y^(3)-x^(3)-3x^(2)yf(x, y)=4 y^{3}-x^{3}-3 x^{2} yf(x,y)=4y3x33x2y and, as can be found from (10), is produced by the potential 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 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 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}V(x,y)=3x46x3y+6x2y210x3+12x2y12xy22y3.
Notice that the function b = x 2 + 3 x + y b = x 2 + 3 x + y b=-x^(2)+3x+yb=-x^{2}+3 x+yb=x2+3x+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 γ = γ ( y / x ) γ = γ ( y / x ) gamma=gamma(y//x)\gamma= \gamma(y / x)γ=γ(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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2009

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