Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2014/iii/paper-59/1/solution

Synchronous radius and its limits. Kepler's third law for a circumplanetary orbit gives
Here is the gravitational constant. A planet-synchronous orbit repeats after one spin period. A planet-stationary orbit additionally requires a circular orbit, zero orbital inclination to the equator and prograde motion. Then an antenna fixed on the ground points continuously at the same satellite; merely matching the orbital period does not give this property.
Write the planetary radius as . Requiring the semi-major axis to exceed gives . The stellar tidal force restricts the circumplanetary orbit to the Hill sphere, of radius . Thus
These are the surface and Hill-radius constraints in the idealized spherical, small- model. Long-term prograde stability generally requires a radius appreciably inside the Hill sphere; for nonzero orbital eccentricity, the surface constraint applies to the periapsis, not just to the semi-major axis.
Collision time and the launch population. A phase-mixed isotropic swarm occupies a shell of radial scale . Its number density scales as , its relative speed as , and its geometric collision cross-section as . Consequently the total collision rate scales as . To give the numerical normalization used here, adopt an effective shell volume . At a fixed position the velocity directions are uniformly distributed in the tangent plane, so their mean relative speed is . For an unordered pair, the collision cross-section is , giving
Thus the mean interval between collisions is in this large-population kinetic model. The effective shell width fixes an order-one coefficient: small orbital eccentricity and random planes alone do not specify a unique radial probability density. Phase mixing, negligible gravitational focusing, , and uncorrelated encounters are implicit in this estimate. Exactly identical orbital periods with perfectly fixed phases do not themselves produce a memoryless collision process.
For nearly planet-stationary orbits with , the swarm volume is smaller by a factor of order , while the relative speed is smaller by the same factor, since vertical motion of scale dominates the eccentric motion. The two changes cancel in the rate : there is no parametric factor in the collision time within the same phase-mixed kinetic approximation. Numerical factors and phase correlations can differ. This is not an argument that bringing all satellites into one nearly circular plane makes their phases random.
With , an Inhomogeneous Poisson process has cumulative hazard function
The survival function of the first collision is . Setting the expected number of collisions to one gives
This is a characteristic first-event population, with probability of an earlier event. It is not a median: the median has an additional factor .
Which population collides next? Immediately after the first disruption let and . The latter follows from mass conservation for equal-density spherical pieces. Using the same unordered-pair counting and geometric collision cross-sections as above, define ; then
Here stand for the usual large-population approximations to . The factor two distinguishing identical and different species is essential. The probability that the next collision is fragment–fragment is
It is the most likely type if and . It has probability greater than one half if
For , a strongly fragment-dominated next event therefore requires ; the fragment–satellite comparison is more restrictive than the satellite–satellite comparison. If , the next event must be fragment–fragment, provided fragments remain.
Population equations and the normalization discrepancy. Every satellite–satellite event produces fragments and destroys two satellites. Every satellite–fragment event produces a net fragments and destroys one satellite; every fragment–fragment event destroys two fragments. Consistent collision counting therefore gives
For , and . The last two terms in are then twice those in the printed equation. This is a genuine factor-of-two inconsistency: equal-size fragment pairs have a collision cross-section smaller by , so their event rate must be if the satellite event rate is ; destroying both fragments necessarily gives the sink .
If the printed equation is taken as a prescribed approximate rate model instead, its implicit event rates are , and . Under precisely that mixed normalization, its corresponding satellite equation is
The printed source term also neglects the consumed fragment in a satellite–fragment event, a legitimate relative approximation. That approximation does not repair the pair-counting discrepancy.
The ensuing cascade. This is a two-size fragmentation cascade. First use the printed approximate model, dropping satellite–satellite events as requested. Put , , and take . Then
Integrating this linear differential equation, with and , gives
Initially the collisional cascade grows if , with approximate early exponential growth time when the satellite population is nearly fixed. The fragment population reaches its maximum at
Afterwards satellites are depleted and fragment–fragment losses dominate. For the continuum solution has , , with
When no satellites remain initially, directly. Small integer populations eventually invalidate these deterministic differential equations.
The consistently counted model has, to leading order in , exactly the same curve and peak, but both retained time derivatives are twice as large. Its growth time is , and . Keeping and the consumed fragment replaces by and in the curve by . This explicitly separates the physical collision bookkeeping from the printed normalization while giving the evolution under both conventions.

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