Maximize the Gibbs entropy subject to normalization and the two mean constraints. Introduce multipliers and differentiate
Stationarity gives . Strict concavity of entropy gives the constrained maximum, on its support. Differentiating the maximum value with respect to the constrained means, or differentiating the entropy along the maximizing distribution and using , gives . The thermodynamic identification is , . Therefore
This is endpoint asymptotics after odd Gaussian cancellation. All interior algebraic terms cancel because is odd. Split the interval into and the remaining tail:
The right-hand integral has its minimum phase at its left endpoint, with and nonzero amplitude . Endpoint Laplace method therefore give
The answer is exponentially small, rather than zero; applying only the interior Gaussian approximation misses the asymmetric boundary tail.
The unique minimum is at zero with phase and amplitude . The interior Laplace method gives
For an additional check, extending to the real line gives the exact Gaussian Fourier integral . The omitted tails are exponentially small, so the displayed leading term follows directly.
Suppose first that the unique interior minimum is nondegenerate, , and . Outside a small neighbourhood of the phase exceeds by a fixed positive amount, so that region is exponentially smaller. Inside, expand
The rescaling and a dominated local Gaussian calculation give the Laplace method
If the minimum is at and , the scale is , giving . At with , replace the denominator by . A stationary quadratic endpoint gives half the interior Gaussian factor.
The printed assumptions do not guarantee nondegeneracy or . More generally, if with and even at an interior minimum, the leading phase scale is and, for , the factor is
At a one-sided endpoint the factor two is absent and the first positive one-sided phase power need not be even. If the amplitude vanishes, expand it to its first contributing term; parity can cancel interior terms. A phase flat to all orders requires its actual local behavior rather than a nonexistent quadratic Taylor coefficient.
For the interior stationary candidate, let . Its formal relation gives
Integration therefore gives . Imposing and yields
This recovers the printed expression algebraically, but does not turn its stationary control into an optimum; it may also violate .
The actual globally optimal wealth from part (ii) is
The budget equation makes the two branches agree at the switch. Direct differentiation gives on both branches, and . This solution remains nonnegative throughout, even though only the terminal nonnegativity constraint was imposed. It provides the complete corrected solution for .
The adjoint equation is , so . For the interior stationary candidate from part (i), writing gives . Therefore it formally has
which derives the printed formula as a stationary, generally nonoptimal candidate.
For the work-then-consume optimum for a nonconcave consumption-leisure utility, the endpoint maximization in part (i) gives
whenever consumption is chosen, and otherwise. Compare the two endpoint values: leisure and consumption are preferred when
Because the unconstrained consumption is increasing in time, there is at most one switch: work first, then cease work and consume at an increasing rate.
Here is a global verification, not just a Pontryagin maximum principle condition. The terminal constraint is equivalent to
For any , pointwise maximization of gives an upper bound on every feasible objective, after adding . A control attaining this pointwise maximum and using the full budget attains the bound, so it is globally optimal.
Let . If
the optimal switch time is and . Otherwise choose the unique such that
The left side of the second equality after substitution decreases strictly from to zero, while the right side increases from to a positive number. Thus the switch exists and is unique. The control is before and after it. It saturates the budget and attains the dual upper bound, completing the proof of optimality for the actual printed parameter range.
The requested properties are not properties of the optimum under the printed assumption . We first derive their origin, and then solve the actual constrained problem.
Put , so , and write the Hamiltonian of an optimal-control problem
For an interior stationary control, gives
This proves the printed identity only as a necessary stationarity condition for an interior candidate.
It fails the required maximization condition. For fixed positive and fixed , maximization over gives
Since , this is strictly convex in . Its maximum on is at an endpoint, not at its interior stationary point. Thus the actual optimum uses , or . On any consumption interval the printed relation would require , although the actual optimal consumption varies with time.
This proves a genuine failure of the printed premise, not just failure to check a boundary condition. If the parameter inequality were reversed and an interior solution stayed within the control bounds, these first-order equations would instead arise from a concave objective.
When , an excursion after the jump from zero to one visits before its reset with probability
This tends to zero, so a catastrophe eventually occurs with probability one. Both the original chain and its jump chain are recurrent.
The expected number of jumps in a return cycle is
Thus the jump chain is null recurrent. But its holding time at has mean , and the initial holding time at zero has mean . The expected elapsed cycle time is
The continuous-time Markov chain is therefore positive recurrent. Its equilibrium distribution, computed as mean time in a state per mean cycle time, is
The entries sum to one by telescoping. The contrast is explained by progressively shorter holding times at the large states, not by a change in return probabilities.
For this linear birth process with catastrophes, the off-diagonal entries of the Q-matrix are
with all other off-diagonal entries zero. The diagonal entries are and for . At zero there is no separate catastrophe transition, because it would not change the state.
The chain is irreducible: every positive state can jump to zero, and from zero any finite sequence of births has positive probability. To prove nonexplosion, couple it with the linear birth process with immigration having birth rate and no catastrophes. Its mean population is finite at each finite time, obtained from , or its exponential holding-time sum diverges since . Couple births monotonically and implement catastrophes with an independent rate- Poisson clock, resetting the smaller population. On a finite time interval the dominating pure-birth process has finitely many births, and the catastrophe clock finitely many rings. Thus the original chain is nonexplosive.
For its jump chain, the transitions are
The literal assertion needs . If , the two geodesic circles coincide, have equal tangent lines at every point, and do not intersect transversally; their intersection is not finite. We prove that close geodesic circles intersect twice for nearby distinct centres, and in fact find exactly two intersections.
Choose a strongly convex normal neighbourhood about and a sufficiently small so that every circle considered and all geodesics joining its points to nearby centres remain there. Squared distance is then smooth in both arguments, and the exponential map is nonsingular on the relevant radius- tangent circles. Consequently all these distance spheres are smooth embedded one-dimensional manifolds.
Write with and , and parameterize by . Define
The first variation of geodesic energy gives
Indeed differentiating the energy of the joining geodesic cancels the interior term by the geodesic equation, leaving the initial endpoint term . This is also the endpoint form of the Gauss lemma.
Since , the quotient extends smoothly to by integrating from zero to . At zero it is , with exactly two simple zeros. The implicit function theorem gives two nearby simple zeros for small positive . Compactness of the unit vector circle makes the choice of small uniform in ; away from fixed neighbourhoods of those two zeros the cosine is bounded away from zero, so there are no additional zeros.
A nonzero angular derivative at either zero says that the defining function of has a nonzero derivative along . Thus their tangent lines differ: the intersections are transverse. Shrinking the neighbourhood of centres accordingly proves
The Gauss lemma says that the radial and angular directions of the exponential map are orthogonal, with radial lengths preserved. On a surface it gives
so the metric in geodesic polar coordinates is .
To prove it, consider a smooth variation of geodesics with unit initial vectors . Put and . Each radial geodesic has constant unit speed, and the Levi-Civita connection is torsion free. Hence
At , because all geodesics start at , so the constant inner product is zero. Unit radial length follows from constant speed. General initial-vector variations split into a radial component, whose image has the same length, and a component tangent to the initial sphere, whose image is orthogonal to it. This proves the full Gauss lemma.
For for which the geodesic exists up to time one, the exponential map is , where and . The initial velocity determines the geodesic uniquely. Since is the identity, this map is a local diffeomorphism near zero.
Choose an orthonormal basis of and set . The geodesic polar coordinates are
in a normal neighbourhood, away from its centre. For sufficiently small positive , the geodesic circle is
within that neighbourhood. Outside the injectivity range the distance sphere need not have this smooth coordinate description.
The same pole-order argument provides a basis
For the first set contains elements, and the second contains . Distinct pole orders imply linear independence, and the coordinate-ring expression proves spanning. Hence
For a function in the space would have no poles anywhere and would vanish at infinity; a regular function on a projective integral curve is constant, so it must be zero. Equivalently the coordinate-ring pole argument first makes it constant, then the vanishing condition excludes nonzero constants.
A rational function with no poles away from is regular on the smooth affine curve. Its ring of regular functions is the coordinate ring
so it has a unique expression with polynomials . This regular-function assertion uses smoothness, hence normality, of the affine curve, not Riemann-Roch theorem.
The nonconstant leading term of has even pole order at infinity, while has odd pole order . These different parities prevent cancellation. Thus no nonconstant such function has a pole of order at most one. Therefore
Let , and let . The latter are distinct because the product is nonzero and the characteristic is not two. At each , the derivative of the curve equation with respect to is nonzero, so is a local parameter and has a simple zero. At , the derivative of the cubic in is nonzero, so is a local parameter with a simple zero; has order two there.
The only poles occur at the point at infinity, and their orders were computed in part (i). Thus the principal divisors are
Over a field where the are not rational, their sum is interpreted as the degree-two zero divisor, or computed after scalar extension and then descended.
Use the usual hypothesis that the ground field has characteristic different from two, and work over its algebraic closure for the geometric points. This hypothesis is necessary for the smooth elliptic-curve calculation: in characteristic two, the displayed cubic model can be singular even when its three roots are distinct.
Homogenization gives
At this says , so
To compute the pole orders on a smooth cubic in Weierstrass form, work in the chart , writing and . The equation is . Its derivative in at is one on the left after bringing the right side across, so is a local parameter. The equation gives . Consequently and have poles of orders two and three at .
The previous permutation calculation shows that every automorphism either preserves separately or interchanges them. Their sum and product are therefore fixed by the Galois group and belong to , proving the quadratic assertion.
For the depressed cubic, , , and . Using gives
and hence
Also . The desired polynomial is
Its discriminant is , where . Here is a square in , since .
One can justify the group criterion directly even when one resolvent vanishes. The nonzero root-difference product
has and changes sign exactly under odd root permutations. It is fixed by the entire group exactly when the group is contained in . If is a square in , then equals one of its two square roots in ; conversely, a fixed lies in . Therefore
Separability ensures , and the characteristic hypotheses ensure that all divisions and the sign argument are valid.
The irreducible cubic is separable, and its Galois group acts transitively on its three roots. The only transitive subgroups of are
For the cycle , the Lagrange resolvent for a cubic obeys . A transposition interchanging sends to . Since , these scalars are fixed by every automorphism. Thus the two possibilities for the image set are
These are descriptions of sets, so coincident values or a zero resolvent are not being asserted distinct.
For the ideal gas, gives . With , the relation in part (ii) gives

There are unlisted articles, also show them or only show them.