Environmental effects on star formation in
dwarf galaxies and star clusters
Key Words.:
tidal forces, ram pressure, RayleighTaylor, KelvinHelmholtz, dwarf galaxies, molecular clouds, star formation processes, stellar populations, colour magnitude diagramsAbstract
Context:The role of the environment in the formation of a stellar population is a difficult problem in astrophysics. The reason is that similar properties of a stellar population are found in star systems embedded in different environments or, vice versa, similar environments contain stellar systems with stellar populations having different properties.
Aims:In this paper we develop a simple analytical criterion to investigate the role of the environment on the onset of star formation. We will consider the main external agents that influence the star formation (i.e. ram pressure, tidal interaction, RayleighTaylor and KelvinHelmholtz instabilities) in a spherical galaxy moving through an external environment. The theoretical framework developed here has direct applications to the cases of dwarf galaxies in galaxy clusters and dwarf galaxies orbiting our Milky Way system, as well as any primordial gasrich cluster of stars orbiting within its host galaxy.
Methods:We develop an analytic formalism to solve the fluid dynamics equations in a noninertial reference frame mapped with spherical coordinates. The twofluids instability at the interface between a stellar system and its surrounding hotter and less dense environment is related to the star formation processes through a set of differential equations. The solution presented here is quite general, allowing us to investigate most kinds of orbits allowed in a gravitationally bound system of stars in interaction with a major massive companion.
Results:We present an analytical criterion to elucidate the dependence of star formation in a spherical stellar system (as a dwarf galaxy or a globular cluster) on its surrounding environment useful in theoretical interpretations of numerical results as well as observational applications. We show how spherical coordinates naturally enlighten the interpretation of the twofluids instability in a geometry that directly applies to astrophysical case. This criterion predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. Moreover, we show for the first time the theoretical dependencies of the different instability phenomena acting on a system in a fully analytical way.
Conclusions:
1 Introduction
The effects of the environment on the evolution of a system are studied in several branches of physics, thermodynamics, statistical mechanics, and also astronomy. One such astronomical system is a galaxy. Galaxies are characterized by their large dimension and hence are dominated in their evolution by the gravitational force. Gravity is a long range force propagating at the speed of light and without a natural scale length. Thus from a theoretical point of view, every system close enough to a reference point (inside the cosmological horizon) is never fully isolated and represents a system in interaction with its environment. Examples of gravitational interactions available to date are the globular clusters inside the Milky Way (MW) (e.g., Gnedin & Ostriker 1997; Odenkirchen et al. 2001; Jordi & Grebel 2010), the dwarf galaxies interacting around our MW (e.g., Cioni et al. 2008; Nidever et al. 2010; Sand et al. 2012) and around the MW neighbour Andromeda (e.g., Zucker et al. 2004; Ibata et al. 2001; Martin et al. 2006; Choi et al. 2002), and the closest groups of galaxies (e.g., Yun et al. 1994; Makarova et al. 2002; Crnojević et al. 2012).
A simple gravitational description of a galaxy would result in serious defect if it does not account for an appropriate description of its buildings blocks: the stars. The process of star formation is tightly connected with the gravitational evolution of a galaxy system. The interplay between star formation and gravitational evolution of a system has been extensively investigated in astronomy in the last century within the context of the Jeans instability (Jeans 1902) passing through all its generalizations (as most recently in Jog (2013)) or the star formation laws (e.g., Schmidt 1959). The star formation regions are investigated both observationally (e.g., Wisnioski et al. 2012) and with numerical experiments (e.g., Fernández et al. 2012; Tonnesen & Bryan 2012).
In a recent paper, Pasetto et al. (2012) hereafter Paper I, the authors presented a technique to couple gravitational effects and star formation processes. The investigation of the role of external effects on star formation being the primary focus of that study, the authors developed a relation to express the pressure exerted by external phenomena on a primary system. In this way they were able to account for the roles of the external agents (e.g., an external hot gas, an external gravitational force etc.) on the system under examination. The standard Jeans instability criterion for stellar formation was substituted by a description ruled by a partial differential system of equations (PDEs) allowing them then to handle the molecular mass spectrum, as well as to obtain high mass resolution (Fujita 1998; Fujita & Nagashima 1999). In Paper I it was shown that it is possible to study the linear response of a gravitationally bound group of stars (e.g., a dwarf galaxy) in this way, and to capture the essence of what is observed in a dwarf galaxy like Carina during its interaction with the MW.
In this present work we take our theoretical investigation further. We account for the interaction between gravity and star formation by developing a new criterion of instability for the growth of the perturbation in an unstable fluid (molecular gas) where the star formation begins. This work is based on the seminal work by Plesset (1954), generalized to account for the noninertial nature of the reference frame with the formalism presented in Paper I. We focus on the contrast between two gaseous systems of different density and temperature, such as the case of a gasrich galaxy moving within a hot intracluster medium. In Plesset’s work (but see also Birkhoff et al. (1958)) the instability growth was followed in spherical coordinates for an expanding bubble. The instability condition was worked out and then extended in the following years to a Lagrangian description (e.g., Ceschia & Nabergoj 1978), to account for the viscosity of the medium (e.g., Prosperetti & Seminara 1978) and for a stratified medium (e.g., Mikaelian 1990), etc. This theory is useful in various applications: in plasma physics, accelerated streams, RichtmyerMeshkov instability, etc.
In our case, we generalize Plesset’s technique to a noninertial reference frame using the pressure equation derived in Paper I. We then apply the resulting equation to the case of the instability of two systems with a high density difference, as is the case for the hot intergalactic medium in a cluster of galaxies and the cold molecular clouds where stars form. The contents of the paper are the following: in Section 2 the linear response theory is just introduced but formally developed in Appendix A. In Section 3 the resulting instability parameter is presented and explained. In Section 4 a few examples are illustrated. In Section 5 we summarize the results of the paper. Appendix A contains the full development of the theory representing the core of the paper: in Appendix A.1 the kinematic boundary conditions between two fluids in relative motion are computation of the potential flow for internal (Appendix A.1.2) and external (Appendix A.1.3) gas. The dynamical boundary conditions are then evaluated in Appendix A.2.1 for the internal gas pressure equation and in Appendix A.2.2 for the external pressure equation. The equation for the surface of equilibrium is presented in Appendix A.2.3. Finally the condition for instability is obtained in Appendix A.3. In Appendix B a few auxiliary functions defined in the text are analysed.
2 Orbiting systems
The picture we are going to introduce is quite general, and suits several applications. Nevertheless, it is convenient to focus on a simple example. We consider two extended bodies consisting of a first system larger in mass and size, described by a density profile (or relative potential), and a secondary system smaller in mass such as a dwarf galaxy orbiting a major companion (e.g., MW dwarf galaxies or a spherical galaxy in a cluster of galaxies). We start considering a galaxy at rest or in a rectilinear motion, i.e. a single system not perturbed by external agents. We consider it to be well represented in the configuration space by a spherical geometry. Hence, despite its clumpy nature, we assume that the molecular gas, the site of the star formation, is well represented by a spherical distribution (in the literature the assumption of spherical geometry is extensively adopted from stellar clusters to clusters of galaxies). If we now consider this galaxy in interaction with external agents (tidal interaction with a perturbing system, ram pressure from external gas, etc.) its initial state of equilibrium in the velocity as well as in configuration space is perturbed (see Fig.1).
In the following we are interested in quantifying the external effects acting on this galaxy gas distribution and on the star formation processes. The same treatment for the density profile perturbation of stars or dark matter can be achieved with the formalism developed in Colpi et al. (1999) or Nelson & Tremaine (1999) where star formation processes are nevertheless ignored. Here, we are going to neglect the internal mass distribution profile of the orbiting galaxy (or stellar cluster) by simply constructing the system with two parameters: mass and scale radius . The internal gas component resulting mass distribution is for example given by and its gravitational radius by , despite any spherical couple potentialdensity can be considered (see Appendix A). The external major system description can be as complex as we like.
2.1 Preliminaries: Internal processes and instabilities
We start with the description of the surface of the galaxy in its motion throughout an intracluster medium (MW hot corona, galaxy cluster intergalactic medium etc.). We suppose that the galaxy, whose dimension we denote with (where can be thought to be the effective radius, the tidal radius, or any scale radius chosen for a particular purpose), is perturbed from its equilibrium as mentioned above. Then, the distribution of the molecular clouds in the interstellar medium of the galaxy (that we identify with the reservoir of gas for stellar formation) can be identified with a density distribution bordered by a surface in a system of reference (SoR) comoving with the galaxy whose barycentric is in and axis vectors that we call for (for a more formal definition see Appendix A). This distribution is then perturbed to a new state, corresponding to a new perturbed surface density. Since we are interested in investigating only the instabilities ablating the gas from the stellar system or compressing it, we will limit ourselves to a linear analysis and we will assume the defining equation for the surface (where spherical coordinates have been employed introduced in ) to reduce to
(1) 
because is defined by the value of the norm of the position vector where , is a real function (we omit its dependence on and ) and for are the spherical harmonics with symmetry for , and with the Legendre functions (e.g., Lebedev et al. 1965). We are interested in the instability problem so we can omit the sum sign in Eq.(1) (e.g., Chandrasekhar 1961, Chap. 1) and later on we will focus on the perturbative mode. Nevertheless, in other to recover the correct literature flatgeometry limit we will keep unspecified for now. (see Section 4, and Fig1).
In Paper I, the authors established a framework to predict how a few selected instabilities (ram pressure, gas instabilities and tidal interactions) affect star formation. The key result of that work was a technique able to handle interacting systems in semianalytical fashion. The authors obtained a pressure equation solution of the NavierStokes equations in a frame comoving with an orbiting stellar system. In this way, they were able to study the instabilities and the star formation through a pressure formulation within the scale radius of a system, , and for a specific direction relative to the motion, that reduced to classical results of dimensionless galaxies (e.g., Gunn & Gott 1972) as particular cases. Indeed, once an equation for the pressure was derived in a noninertial reference frame, the star formation efficiency and lifetime of of the mass spectrum of molecular clouds was computed by following literature recipes (e.g., Elmegreen & Efremov 1997). Here defines the mass resolution with which the system of PDEs governing the evolution of the molecular clouds is integrated:
(2) 
where with being the total mass of the clouds, is the stepfunction (e.g., Abramowitz & Stegun 1972), is the gas ejection rate from the stars. This gas ejection rate depends on the fraction of stars (of mass born at time ) returned to the interstellar medium with return mass function normalized , on the stellar initial mass function , and on the star formation itself. The is the recycling rate of the molecular gas. Once this system is considered, an instability may gives rise to star formation if (and only if) gas is effectively present, i.e. , and suitable criteria dependent on the physics and geometry involved are met. In this case the resulting star formation is
(3) 
The star formation history can then be recovered once longlife, , and shortlife ( and ) stellar feedback to the interstellar medium (ISM) is considered, following the recipe in Fujita (1998) and accounting for a twophase ISM model (Field’s instability) where a delay due to the HI phase is considered for the gas ejected by stars and evaporated by young stars before it becomes finally molecular gas. Of course, this approach relies heavily on the stellar model adopted and on the timescales of gas transitions. We followed the recipes depicted in Fujita & Nagashima (1999) combined with the stellar models of Bertelli et al. (2009, 1995). Different stellar models and ISM recipes can produce different timescales for the remnants and as a consequence we consider our results as indicative only.
In this context the role of the instabilities was left to a description developed locally in a plane geometry approximation. The criteria adopted there were the standard literature instability conditions (e.g., Chandrasekhar 1961). In particular, within the Paper I framework, the pressure on the molecular cloud of a dwarf galaxy was considered as a piston acting on a locally defined position of the dwarf  specified by the angle and radius  and there (i.e., determined âlocallyâ for each point) the criterion for the growth of the instability was derived in the context of the planegeometry. The classical linear growth rate, , for the RayleighTaylor (RT) and KelvinHelmholtz (KH) instabilities in a plane geometry can be derived by combining standard literature results (e.g., Chandrasekhar 1961) as:
(4) 
Here refers to the hot intergalactic medium external (outside) of the galaxy (e.g., hot intracluster gas, MW hot coronal gas etc.), refers to the colder molecular cloud gas of the galaxy that will give rise (when unstable) to star formation processes, is the wave number of the instability, and the gravity acting on the system at the distance impacting the external pressure, for unitary mass and mass at the distance . If the fluid inside and outside an ideal surface of separation moves with relative velocity , then Eq.(4) simultaneously accounts for the instability modes of sliding and pressing fluids, i.e. the KH or RT instabilities already considered in Paper I.
In this work, we will show how the description of the Paper I is simplified considerably in respect of the physical interpretation of the phenomena involved once the same instability growth criteria are followed directly in a spherical geometry. In order to achieve such a description, a few preliminary steps have to be performed in order to find a treatable reference frame for the equations involved. We start introducing the reference frame in the following section, a fundamental step to set the scene for the theory development and to understand our results.
2.2 Geometrical framework for potential flow approximation
The framework follows closely that already introduced in Pasetto & Chiosi (2009). We consider the inertial reference frame attached to the more massive galaxy, , and we call the reference system comoving with the smaller body. In general, the axes of these two reference frames can be translated to match the same origin and overlapped by a rotation matrix with . Generally, if the smaller object is orbiting on its geodesic motion around the major one and is attached to it, this rotation matrix will be time dependent . This twoextendedbody system will be considered in isolation. The reader can visualize the abstract description of this paper if focusing on the image of a small stellar system, e.g., a dwarf galaxy or a globular cluster, centred in the origin of the system of reference , and orbiting in the external potential of a cluster of galaxies or in the halo of the galaxies respectively. As in Paper I, we will make use of the concept of the velocity potential. We assume the inter/intragalactic medium to be irrotational (e.g., Landau & Lifshitz 1959, Chap. 1) with being the fluid velocity in . Hence, there exists a scalar function , the velocity potential, whose gradient is the fluid velocity i.e. . The is used in the NavierStokes equations to investigate the fluid dynamics of the two gas components: the one belonging to ’s galaxy and the one external to it. As in Paper I, we will make use of the concept of the velocity potential. We assume the inter/intragalactic medium to be irrotational (e.g., Landau & Lifshitz 1959, Chap. 1) with being the fluid velocity in . Hence, there exists a scalar function , the velocity potential, whose gradient is the fluid velocity i.e. . The is used in the NavierStokes equations to investigate the fluid dynamics of the two gas components: the one belonging to ’s galaxy and the one external to it. However, as claimed in the introduction to this section, we are interested in providing a solution for the NavierStokes equation for the mentioned instabilities in a noninertial reference frame. For this purpose, we have to picture the potential flow description of the NavierStokes equations solution in .
The geometry of the problem is as shown in Fig. 2, where is the arbitrary but fixed position vector in the SoR introduced above: centred , with unitary vectors ; the position vector in centred in whose orbit as seen by an observer in is ; where the position of the origin in . The external velocity potential fluid was introduced in Paper I: the potential flow past a spheroidal dwarf galaxy is approximated by a classical literature result, that gives the potential flow in when added to a translational potential flow that “brings the galaxy to rest”. , thanks to the scalar character of the velocity potential (we recall that is the velocity of the fluid at infinity and the velocity of the system, the speed obtained with standard Euclidean norm , the standard inner product between two vectors).
The description of the motion in instead of has some advantages in the mathematical treatment of the fluid dynamics equations. This is not a new approach to the NavierStokes equation and represents a standard literature procedure when dealing with twofluid problems (e.g., Batchelor 2000; Landau & Lifshitz 1959). In this way it is possible to simplify the description of the twofluid interaction to a common reference frame: it is simple to prove that if the fluid is irrotational in a given reference frame it is not in another, being the vorticity, say , a concept relative to the reference frame as the velocity (, with relative rotational velocity of and where the vorticity is called and respectively). The description of the motion in a noninertial reference frame simplifies this approach. We also follow standard literature results in formulating the potential flow in relation to the velocity of the stellar system instead of the velocity of the impacting flow which simplifies the physical interpretation of our results. Finally, with (e.g., Batchelor 2000), we describe the potential flow of the gas internal to the galaxy alone. Moreover, we add it to the description of the external flow impacting the galaxy’s internal molecular cloud gas when necessary (for example to describe the hot MW coronal gas).
The description presented so far was initially introduced in Paper I. However it has some limitations and imprecisions that do not permit the best understanding of the involved physics. Despite its success in reproducing the star formation history of the Carina dwarf galaxy presented in Paper I, the formalism there developed did not account properly for the deformation of the dwarf galaxy because of tidal interaction, and hence for the star formation instability presented in a real system. In any physical case, we expect the system to suffer a geometric compression in a direction roughly orthogonal to the orbit and an elongation along the orbits where the tidal tails lie (e.g., Pasetto et al. 2003, 2011). Vice versa, we expect that elongation to be tilted by about , with respect to the orbital direction proximate to the pericentre passages (e.g., Klimentowski et al. 2009). In both the extreme cases, we want to be able to follow the impact of the pressure on a galaxy foliated by homoeoidal surfaces tilted with an arbitrary rotation matrix introduced above (see Fig.1).
In order to achieve such a generalization and simultaneously to investigate the role of the star formation instability, in Appendix A we will develop a twofluids instability analysis in spherical geometry for a noninertial reference frame under the influence of a nonuniform external gravitational field. The development of the theory proceeds as in the plane geometrical case of Paper I with two additional difficulties:

the presence of apparent forces owing to the noninertial nature of the geometrical frame we used;

the deformation from spherical to oblatespheroidal to address the limitation of the simple spherical geometry in the description of the tidal interaction of a system with an external gravitational field.
The linear response theory is described separately in Appendix A in order to give space here to the results and applications. Our key result take the form of an instability criterion that can be evaluated once a small parameter space is considered for the stellar system and its environment. The result is inspired by the standard quantummechanics WenntzelKramersBrillouin (WKB) approximation for the solution of evolution equations with slowly varying coefficients, but limited to the analysis of the condition on the positivity of the growth factor of the perturbation of a stellar system in motion. The result is obtained in Eq.(A.3) of Appendix A. After some algebra by collecting properly the terms and the trigonometric functions, this can be written as
(5) 
where we introduce the generalized Atwood number^{1}^{1}1Note how our definition differs from Eq. (14) in Plesset (1954) (and the form widely used in literature) because in the original definition the dependence of ) while we prefer to keep the original dimensionless nature of the Atwood number.:
(6) 
Here is angle between the position vector and the stellar system velocity vector in . and are the relative acceleration and velocity of in , is the selected scale radius of the system (with its velocity and acceleration ), and finally and are the gas density inside (HI, molecular) or outside (hot interstellar medium) of the system being examined. The special functions and are auxiliary functions defined in Appendix B. The spherical harmonic azimuthal modes (with , etc.) are used to account for the departure of the tidal deformation of the stellar system from its starting spherical shape (see Fig.1). Finally, because of the short lifetime of the molecular clouds compared with the orbital time of the stellar systems considered, we can safely assume and  and ultimately the Atwood number  to be in local thermodynamic equilibrium. This will result in a further simplification of our equations described in the following sections.
3 Results
To interpret the role of the stability phenomena in the evolution of a stellar system centred on orbiting a major companion centred on , it is convenient to make a few minor changes to Eq.(2.2). We split the velocity components of the external fluid into a parallel and a perpendicular component to the position vector in . The same is done for the acceleration: with instead of we will proceed to define and . Moreover, while in Section A.2 the algebra is laid out with the generic to prove that we are able to recover the plane limit in Section A.3.1, here only the perturbation case is of interest. With Eq.(6) for , we can rewrite the growth factor as:
(7) 
with
(8) 
where we additionally defined the special function and . This is the fundamental result of this paper, and it gives us the interpretation key of the stability phenomena globally acting on a spherical stellar system. To first order the growth of the instabilities is the sum of different contributions,
(9) 
which we identify line by line:

The terms in the first line of Eq.(3)
(10) which is the standard literature result for an inertial reference frame. These terms do not depend on the subject of our study: for example they are in common with previous studies on the growth of bubbles in an inertial reference frame or supernova explosions. Here, though, we limit ourselves to the mode of disturbance because of the physical system under consideration. This mode contributes positively to the instability every time , and when assuming in the case of galaxies or stellar clusters moving through a hot medium. Its positivity depends for example on the expansion/contraction of the tidal radius of the stellar system. Equation (3), if solved together with the corresponding Eq.(45) of the equilibrium surface, will eventually lead to the complete eigenvalues of the system which can directly be compared with numerical simulation;

The terms in the next line of Eq.(3)
(11) proportional to . We will call these terms “pure”RT terms. They influence the instability owing to the pressure along the radial extension of the star cluster. They show how the instability dependence on the RT effect is quadratic on the velocity of the fluid impacting the galaxy, i.e. quadratic on the velocity of the stellar system itself. It is especially interesting to observe how the term is always present: even if , for example in the case of a galaxy that has reached its equilibrium by violent relaxation, the instability grows with quadratic dependence on the orbital velocity. As expected, it is maximum at the stagnation point, and it decreases slowly away from the direction of motion, becoming formally zero at ;

The term
(12) proportional to . We will refer to this term as the “pure”KH term. This is influenced by the sliding of the relative velocity between the dwarf galaxy ISM and the intercluster medium through which the stellar system is moving. As in the RT case, is quadratic with the velocity of motion of the stellar system and does not depend on the radial expansion or contraction of the galaxy. Further insight in the understanding of this term will be gained in the next section where the astrophysical case of interest will be developed;

The term
(13) This is a mixedcontribution term. It always exists except for the special case of the stagnation point or the tangential point where it disappears, either or being null, respectively. It is a quadratic term in the velocities, and it shows how the coexistence of KH and RT instabilities is always present once the galaxy is in motion along its geodesic. Its contribution to the instability depends on the sign of , being negative for small angles, contributing positively to the growth of the instability near the stagnation point, and positive for thus having a stabilizing factor against the âpureâKH term introduced before (See Fig A.1 in Appendix A);

The term
(14) proportional to the acceleration component in the direction indicated by the position vector. This term is a completely new result of our theory (it cancels out at the plane geometry limit). This term has a different nature from the terms originally described in the works of Kelvin, Helmholtz, Rayleigh and Taylor: this term is an apparent force due to the noninertial nature of the reference system we adopted. It shows a linear dependence on the acceleration to contribute orthogonally to the surface of the galaxy, i.e., only along its radial direction. Hence, to the first order, this term contributes (with a positive or negative force, stabilizing or promoting instability) only to the RT instability, not to the KH one. Clearly this term has a different contribution to the instability depending on the actual orbit and on the angle .
Curiously, our results indicate no direct contribution of the tangential component of the acceleration to the overall instability , i.e. we discovered that no apparent force acts on the KH type of instability to the first order. This component has nevertheless to be present at second order, as evident in the equilibrium equation derived in Appendix A Eq.(45) to the leading order, or in the growth factor Eq.(3) when analysed to the second order. We mention that in the more complicated work by Shaw (2006) a similar analysis to ours is carried out to higher order but for a nontranslational system of reference. We remark that even besides the technical difficulties in carrying out such an analysis in our noninertial case, this is not of interest in our case: in Paper I we showed that the lifetime of the molecular clouds subject to external pressure is below 300 Myrs for the Local Group case. Hence, within these timescales, higher order terms or resonances do not have time to play a role. A general treatment of the force acting on the generic point of an element in was given by Eq.(6) of Pasetto & Chiosi (2009) that in tidal approximation reads . Eq.(2.2) holds only in the case of the short lifetime of the dwarf galaxy’s molecular clouds we are considering (see Fig.(1) in Pasetto et al. (2012)).
4 Application and examples
In what follows, we develop some analytical, numerical and theoretical examples and exercises to show the potential of the criterion developed above.
4.1 Instability for the case
To gain better insight into the physical conditions for the positivity of the growth factor, we consider the special case where the hot intergalactic medium, here , is much more diffuse than the cold molecular clouds density distribution, , that we are considering as the star formation site. In this case a lighter fluid is pressing on a heavier one described in the noninertial reference frame . This is a practical case of interest in astrophysics. Because the density difference between the hot intergalactic medium and molecular clouds is assumed to be extremely high, and we can expand the previous Eq. (3) to get to the first order in the small parameter :
(15) 
whose positivity, for example at the stagnation point is simply:
(16) 
which shows a competition between the relative acceleration of the two reference frames and , the gravity of the systems , the velocity terms and the contraction velocity . At the limit of there are no hydrodynamical effects and the gas instability will be purely gravitational. We get:
(17) 
satisfied in the zones of the galaxy where , i.e. where the component of the external acceleration compresses the gas. This is indeed a well known literature result on the purely gravitational compressive effect of a tidal field acting on a galaxy, that we recover with our stability criteria. The dissipative phenomena in the pure dynamical case are still a matter of debate (e.g., Efroimsky & Makarov 2014; Jog 2013) that we avoid here. We simply limit ourself to observe that with the total potential acting at the point of interest on as
(18) 
so that
(19) 
to which we want to add the stellar cluster mass distribution at the same position . This proof follows tightly the derivation of Eqs. 9 and 10 of Paper I and holds only for small systems orbiting major companions.
4.2 Small angles
We are obviously interested in the small angles approximation. This is because in the spherical geometry that we have developed, the stagnation point lies where the pressure is higher, i.e. it is the first point impacting on the external intragalaxy medium. Vice versa in a different geometry this is not necessarily true. If we assume a spiral galaxy penetrating a cluster of galaxies with a hot intracluster medium in a direction orthogonal to the disk plane, the first instability to be seen is the stripping from the border of the disk because of the weaker galaxy potential at the edges of the disk (e.g., Roediger & Hensler 2008, 2005). The instability criterion of Eq.(3) reduces to
(20) 
where we made use of the asymptotic behaviour of the special functions and (see Appendix B). This result proves that to the linearorder is independent of the direction. This is an important theoretical result (not expected a priori) that indicates how our instability parameter is weakly dependent on the particular geometry developed (the curvature) and it has probably a wider range of applicability than what is formally mathematically permitted.
The importance of this result can be grasped by examining Fig. 3. If we assume that is small (see point A on Fig. 3) then the difference between the orthogonal (and tangential) vectors to the unperturbed and perturbed surfaces is always small even if , i.e., even if does not hold strictly (e.g., along the direction of the tidal tails of an orbiting dwarf galaxy with a highly radial orbit). Similarly, for the point B, i.e., far away from or we expect the theory not to hold properly (as indeed the divergence of the special functions and indicates). To grasp the importance of this result it is worth examining Fig. 3. If we assume that is small (see point A on Fig. 3) then the difference between the orthogonal (and tangential) vectors to the unperturbed and perturbed surfaces is always small even if , i.e., even if does not hold strictly (e.g., along the direction of the tidal tails of an orbiting dwarf galaxy with a highly radial orbit). Vice versa, for the point B, i.e., far away from or we expect the theory not to hold properly (as indeed the divergence of the special functions and indicates). If there were a strong angular dependence at the stagnation point to the first order (e.g., ) it would inevitably limit our results to the very specific spherical system (even though every stellar system with a sufficiently smooth density distribution can be approximated with an osculating sphere).
The ’s independence in the first order in is an encouraging result on the potential of the criterion we have developed. Finally, note that the angle , differently from , is not necessarily small, but depends on the configuration space of the external cluster of galaxies or stellar distribution acting on the system under examination.
4.3 Application to observations
Although the investigation of a particular catalogue of galaxies, galaxy clusters, or globular cluster is beyond the goal of the present paper, it is interesting to observe that the criterion in Eq.(3) can give a hint on the activity of the star formation directly by observational measures. Depending on the precision of the data available and on the system under study, the simplest approach to the criterion (from an observational point of view) is as follows. The mass spectrum of the molecular clouds, where stars are born, is reasonably well known (Paper I). For the external hot intergalactic medium the Xray emitting hot intracluster gas distribution is known to be well represented by models (Cavaliere & FuscoFemiano 1976). Consider a galaxy with an effective radius , starting to free fall in equilibrium from the outskirts of a galaxy cluster parametrized by a potentialdensity couple . The galaxy will experience tidal stretching (or compression) by the tidal field along (or orthogonally) to the free fall direction (with velocity ). Hence, it will be stable or unstable to star formation simply if the total mass of the galaxy is enough to shield the galaxy from the external field or not (where is evaluated through the radial direction to the galaxy cluster centre, ). The only observational datum required to be obtained is the tidal distribution of the gravitational system and this can easily be computed as
(21) 
where is the location of the galaxy under examination within the catalogue describing the cluster of galaxies located respectively at , and is the bidimensional Dirac delta function. An example of this type of computation from observational data is shown in Pasetto & Chiosi (2009) (for a different geometry than in Section 2). In this way, all the parameters necessary to exploit the instability criterion (e.g., in the form of Eq. (4.1) ) are entirely obtained from a catalogue
4.4 Numerical example on dwarf galaxies of the Local Group (LG)
In paper I a local description of the instability processes was assumed, using a pressure equation (there Eq.(10)) that recovers standard literature results (e.g., Gunn & Gott 1972) if considered in dimensionless systems (i.e., for we obtained the ram pressure equation of Gunn & Gott (1972)). This pressure equation was applied locally to a molecular cloud spectrum of masses (Elmegreen & Efremov 1997). In this way, each different molecular cloud class was accounted differently for its instability (in the linear regime), reacting differently depending on the particular mass. The result was then integrated to obtain the overall mass consumed, transformed into stars, or transferred back to the intergalactic medium following the recipe of Fujita & Nagashima (1999). The compatibility of the result was confirmed against a numerical integration of the evolution of an extensively studied LG dwarf galaxy (Carina) (Pasetto et al. 2011). In paper I a local description of the instability processes was assumed, using a pressure equation (there Eq.(10)) that recovers standard literature results (e.g., Gunn & Gott 1972) if considered in dimensionless systems (i.e., for we obtained the ram pressure equation of Gunn & Gott (1972)). This pressure equation was applied locally to a molecular cloud spectrum of masses (Elmegreen & Efremov 1997). In this way, each different molecular cloud class was accounted differently for its instability (in the linear regime), reacting differently depending on the particular mass. The result was then integrated to obtain the overall mass consumed, transformed into stars, or transferred back to the intergalactic medium following the recipe of Fujita & Nagashima (1999). The compatibility of the result was confirmed against a numerical integration of the evolution of an extensively studied LG dwarf galaxy (Carina) (Pasetto et al. 2011).
With the criterion of instability derived above in Eq. (2.2), we can now investigate more precisely the role of the different orbital parameters involved in the instability process. For example, we assume a dwarf galaxy orbiting in the plane of the MW potential, starting at 200 kpc from the centre of (centred on the MW) on an orbit with eccentricity . The orbit and star formation (for an initially metal poor galaxy) is as in Fig.4
where in the left panel the orbit computed for the MW galaxy model of Paper I is illustrated. The legend explains the colourcoding of the orbits as a function of time (Gyrs). The same colourcode is used in the right panel where the star formation history has been computed with the technique developed in Paper I.
For an example position along the orbit, say Gyr (where is the lookback time), we ask ourselves which mass limit gives rise to star formation instability. We plot our instability factor Eq.(9), with the model of the MW external potential and electron number density for coronal gas as in Paper I, as a function of the total mass of the dwarf galaxy. The results are shown in Fig.5 (left panel).
The orbits define the phase space parameter of the galaxy. If we increase the total mass of the orbiting object at fixed orbital parameters (MW model centred on , kpc and ), we see that the system gradually becomes more stable and at (an arbitrary point on the real line of the time) we can easily see that systems more massive than with a tidal radius of kpc become stable to external star formation activation.
We remark at this point that Eq.(3) represents a criterion of stability, not an equation governing the evolution of the system analysed. We do not follow the linear response of a system but only study the onset of star formation. Different masses, or systems, would evolve on different orbits than the one chosen in our example. The instability criterion simply has the function to predict which parameters in the multidimensional space of mass, size and phasespace give rise to instability and hence potentially lead to star formation because of the specified external environment. Of course if the galaxy does not contain gas (i.e., the criterion of in Eq.(2) is not satisfied), then regardless of whether its structural and orbital parameters satisfy the positivity of the instability growth factor, the galaxy will not experience star formation. More on this point will be said in the Section 5.
Another interesting feature of our theory is the possibility to account for a scale parameter . Hence, on the same fixed orbit of Fig.5 (left panel) we can investigate the instability once is allowed to vary. We consider the same instant and orbit. As seen in the left panel of Fig.5, any mass is enough to shield the galaxy from activating star formation by external factors. We now imagine to dilute (or compact) a over larger and larger scale radii at the same position and velocity as computed for in the previous plot. The result is as in Fig.5 (right panel). The result clearly shows that the growth of the instabilities is favoured by diffusing the stellar system. As soon as a galaxy of total mass is diffused over a scale radius greater than 4.1 kpc the galaxy becomes prone to the growth of instabilities (here the tidal radius, but note that the passage between different scale radii will result in just a shift along the x axis) coherently with left panel in the figure.
Finally, both the panels show a comparative study in the particular instant of the selected orbit for the relative importance of the different effects. We selected an angular dependence of to show all the effects contributing to model the total instability parameter curve. As is evident, the mixed term is dominant over the pure KH term, , and RT term, . This holds for compact systems. At fixed mass () for increasing radius, we see that is the more diffuse is the system, the more the inertial term of Eq.(10) becomes relevant. It finally becomes dominant over 5 kpc. We stress once more that this is not expected to be a general trend, but it is specific to this particular orbit. Nevertheless, for each orbit, the instability criterion can indicate the dominant effects for the parameter selected. The RTacceleration effect (Eq.(14)) is constant at a fixed point on the orbit and dominant over all terms. This is because for the chosen orbits and dwarf scale parameters kpc and there is a tight correlation between pericentre passages and star formation history (see Fig. 4 right panel).
We combine the two panels of the previous figures to show in Fig.6 (a given orbit and precise instant, in our case) the characteristic manifold of the star forming regions (in the masssize space).
As evident from the Figure, the dwarf galaxy orbiting the MW in the example orbit can either have star formation (red zone) or be stable against it (green region) depending on its mass and size. The criterion derived here predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. This plot indeed can be calculated for to any point of the MW dwarf galaxies’ phasespace distribution. In Fig. 6 the “green valley” of the manifold formalizes the intuition that smaller (in size) systems require less total mass to be shielded from external influences. Finally, beyond a certain limit the internalinertial term becomes dominant and induces the modal instability regardless of the role of the external pressure or tidal forces. As evident from the Figure, the dwarf galaxy orbiting the MW in the example orbit can either have star formation (red zone) or be stable against it (green region) depending on its mass and size. The criterion derived here predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. This plot indeed can be calculated for to any point of the MW dwarf galaxies’ phasespace distribution. In Fig. 6 the “green valley” of the manifold formalizes the intuition that smaller (in size) systems require less total mass to be shielded from external influences. Finally, beyond a certain limit the internalinertial term becomes dominant and induces the modal instability regardless of the role of the external pressure or tidal forces.
We stress that this is not intended to be an investigation of the instability zones of the parameter spaces of the MW, LG or any particular LG dwarf galaxy. A statistical investigation of the errors involved and on their propagation on the positions and velocities of a dwarf galaxy is a complicated task that requires more advanced techniques (e.g., see the analysis of the Carinaâs dwarf galaxy orbit in Pasetto et al. (2011) based on the minimum action principle) and is in preparation for MW dwarf galaxies (Pasetto et al 2014, in preparation).
5 Conclusion
Since the original works on collapse and instability of Jeans (Jeans 1902) and the phenomenological works of Schmidt (1959), and Kennicutt (1998), criteria ruling the star formation processes have been of great interest in astrophysics and an extensive matter of debate. The treatment of the star formation processes accounting for environmental effects has almost always been the âterritoryâ of experimental/numerical astrophysics (for a review, see e.g., Mayer (2010)).
In this work we address this problem from an analytical point of view for the first time, by presenting a new treatment of the gas instability processes that activate star formation in interacting stellar systems embedded in an external environment. Our approach is based on the study of the pressure acting on a density distribution of molecular clouds subject to external pressure acting on them. The arguments are developed in spherical geometry and a consistent new instability criterion is obtained, which accounts for gravitational and hydrodynamical properties of the molecular clouds and their surrounding environment.
The main results in this analysis are

an analytical expression for the instability conditions, a criterion obtained by analysing the growth of the instability because of a perturbation at a surface of equilibrium. The description of the perturbation is limited to a mode of interest for the astrophysical case, in a spherical harmonic expansion. Limiting conditions (Eqs.(15) or (4.1) with (4.1)) are also developed to propose a version of the instability criterion fully testable with limited observational data. From observational constraints this is expected to give indications on the nature of a studied system.

we show for the first time the dependence of instability on the orbital parameters for a particular example. This approach has the advantage of casting light on the role of the different instability processes in giving rise to unstable (i.e. growth) modes. In particular, this approach is complementary to pure numerical methodology (adaptive mesh refinement, smooth particle hydrodynamics etc.) indicating the main dependencies of the analysed stellar system on dynamical parameters (speed, acceleration, mass and size) and how strong they are. In this way, this analytical result is a fundamental key for interpreting the numerical/experimental results where all of these effects act simultaneously.
Finally, an investigation of the star formation criterion is presented for a typical orbit of a LG dwarf galaxy (e.g., Weisz et al. 2014; Tolstoy et al. 2009; Grebel 1997). We briefly presented our instability parameter as an investigative tool to the stellar formation in preassigned orbits of a LG dwarf galaxy.
We conclude with a few remarks on the criterion developed here. It is obtained by a dynamically consistent equation derived to the first order in the perturbation factor , but it is not an evolution equation, it is only an instability criterion. We did not consider the eigenfunction of the perturbation equation nor the equilibrium equation that should be solved together to obtain the time evolution of the perturbation, eventually producing a system of equations directly comparable to Nbody AMD/SPH simulations. This comparison was done in Paper I to which we refer the reader.
Despite the difficulties in handling instability with numerical techniques, the Nbody AMD/SPH simulations provide a valuable tool to perform experiments/exercises that can guide the theoretical and observational studies. Nevertheless, the degree of comprehension of a phenomenon that can be achieved with analytical studies cannot be reached by a controlled numerical experiment where all the effects (internal and external) overlap in a nonlinear way. It is the purpose of this paper to present a possible interpretative key for disentangling the different theoretical aspects of a numerical experiment.
Still, numerical experiments can lead the theoretical research where the limitation of the analytical approaches struggles to advance to a simple formulation (e.g., Del Popolo 2012). For example every time two systems lose their identities when merging into a single object (e.g., Renaud et al. 2014, 2008; Sales et al. 2007) the linear response theory here developed can be only of indicative help, while a numerical simulation where the instability criteria are implemented locally seems  to date  the better way to do advance our understanding.
This work addresses in an analytical way the problem of the environmental influence on a system. The criterion derived here predicts the threshold value for the onset of star formation in a mass vs. size space for any orbit of interest. It shows that the instability can be triggered or suppressed in a different way depending on the internal density profile of the system under examination. Finally, we remark that in the case of primordial globular clusters moving supersonically throughout the disk of a spiral galaxy, the algebra of the instability criterion developed here is expected to work once the pressure equation is considered in the supersonic regime. A relation between pre and post shock pressure to account for this isentropic compression was already worked out in Appendix A.3 of Paper I.
Acknowledgements.
SP thanks: Anna Pasquali and Denija Crnojevic for stimulating discussions. We thank the anonymous referee for useful suggestions. We acknowledge PRACE for awarding us access to resource ARCHER UK National Supercomputing Service. The support of Chris Johnson from EPCC, UK for the technical work is gratefully acknowledged.Appendix A Noninertial linear response theory for gas instabilities in spherical coordinates
In this appendix we develop the mathematics of the linear response theory introduced in Section 2. The unstable periphery of a gaseous sphere penetrating an external medium is considered in a noninertial reference frame and kinematic and dynamical boundary conditions are considered. An instability criterion is obtained in spherical coordinates and plane geometry limit is considered.
a.1 Kinematic boundary conditions
a.1.1 Perturbed surface
In the geometrical framework introduced in the Section 2.2, we consider a potentialflow type description of the surface of the galaxy in its motion throughout an intracluster medium The distribution of the molecular clouds in the interstellar medium of the galaxy is described with a density distribution in bordered by a surface surface of the frontier of the domain of existence of the (bound) density function . No singularity is allowed in the potentialdensity couple satisfying the associated Poisson equation . This distribution is then perturbed to a new state, corresponding to a new perturbed surface density (where the spherical coordinates introduced above in have been employed). We will limit ourselves to a linear analysis and we assume the defining equation for the surface to be given by Eq.(1).
a.1.2 Internal gas perturbed potential flow
We will refer to a quantity of the orbiting stellar system as “internal”, e.g., its density , velocity potential etc. To describe the cold interstellar medium we will use the solution for the Laplace equation for a stationary expanding/contracting potential flow written as (e.g., Landau & Lifshitz 1959) to which we add the perturbation solution of the Laplace equation proportional to , i.e. (with proportionality coefficients of the spherical harmonic basis):
(22) 
where we already excluded terms proportional to in the radial solution of the Laplace equation by setting their corresponding coefficients . This is done in order to avoid divergences as long as we move away from inward into the galaxy. To ensure continuity of the surface element fluids at the surface, we proceed in the standard way (e.g., Batchelor 2000) by evaluating the kinematical boundary conditions (i.e., of the Eulerian derivative at the surface) of the fluid elements at the perturbed surface