After division by , the coefficients are and . At , and are analytic functions, so is a regular singular point. Its indicial equation is . There are no other finite singular points of a differential equation. At infinity the regular singular point criterion for a second-order equation would require , but ; hence infinity is an irregular singular point.
Substituting reduces the equation to , so
A linearly independent pair is and . Their Wronskian is . The second has a removable singularity at and value , whereas the first has a simple pole, agreeing with the two characteristic exponents at a regular singular point, . The integer difference does not require a logarithm. At infinity has an essential singularity, consistent with the irregular singular point; the existence of the simpler solution does not make infinity regular.
Expand the finite Euler product into geometric series. By unique prime factorization, it is the sum of over positive integers whose prime factors do not exceed , and hence contains every term up to . The harmonic sum satisfies
The last inequality uses , including when is an integer. For each prime number ,
The telescoping series over all integers bounds the sum of these remainders by . Taking logarithms of the product bound therefore gives
This explicit constant suffices; no asymptotic theorem about the distribution of prime numbers is needed.
Let and . A denominator zero away from the removable zero at obeys
Near , write and choose the logarithm branch with . Expanding gives
Consequently
The lower-half-plane pole is a scattering resonance: an odd standing wave is nearly confined between the two high repulsive barriers but leaks out slowly. If , then and its probability lifetime is . It is not a genuine bound state of the repulsive potential.
Use base-two logarithms. The weakly typical sequence definition is
Equivalently, . By the weak law of large numbers applied to the independent and identically distributed random variables , the probability of this typical set tends to one.
This captures the usual probability scale of a long sample, but it need not make every symbol frequency representative. For a fair binary source, every word has probability and , so even the all-zero word is weakly typical. The strongly typical sequence definition additionally controls empirical symbol frequencies and excludes this word for small tolerance. Thus weak typicality agrees with the high-probability-set intuition, while allowing individually unrepresentative members.
There are two positive roots for : the derivative of is , so the function decreases to its minimum at and then increases. Negative cannot solve the equation. For the larger root, expansion of the exponential function in gives
so series reversion yields
For the smaller root, set and take a logarithm. Then , so successive substitution gives and
These are the first two nonzero terms of the two asymptotic expansions. Equivalently, the roots are and , from the real branches of Lambert W.
Apply the Jensen inequality to the convex exponential function under the trial equilibrium measure:
The given identity therefore implies . Taking minus the logarithm reverses the inequality and proves the Feynman-Bogoliubov inequality
The units make and dimensionless here. Equality holds when is constant on the support of the trial measure. Optimizing the trial parameters tightens an upper bound, which is the basis of the Gaussian variational approximation.
On either open half-line, part (i) says . Differentiating the formula in part (iii) makes all elementary terms cancel except the logarithm and the bracket. Therefore
where
and
where
Both functions are smooth on their respective half-lines, proving the required assertion.
Put and . Since is a function of , the chain rule for information entropy and part (c) give
Part (a), applied to the nonnegative integer-valued random variable , yields
The logarithm inequality implies . Thus
Part (c) also gives , so monotonicity of the logarithm lets us replace by . Rearranging proves
The function solves the linear ordinary differential equation. Apply reduction of order by writing . Substituting and and cancelling the terms in gives
For , this becomes a first-order linear ordinary differential equation:
A partial fraction decomposition provides the required antiderivative:
Therefore
The logarithm has positive argument on the required interval. The Wronskian of and is , proving their linear independence and hence completeness of this general solution.
Put for . The factorial gives
The logarithm identity
follows from continuity of the logarithm at one and . The product rule for limits of sequences therefore makes the displayed ratio tend to zero. In particular, some satisfies for all . By mathematical induction, . A geometric sequence with ratio in tends to zero, so the squeeze theorem proves
The endpoint radii are and , but substituting those two numbers in the finite conical frustum formula is invalid. A rotation about the -axis preserves the horizontal angle between the endpoint position vectors; here and are not parallel. The radius along the generating segment is not linear in height.
Parametrize the actual segment by
Its rotated circle at height has radius
Thus the rotated image is the surface of revolution . Applying the conical frustum formula to infinitesimal pieces of this radial profile, or directly using the cross product as in ii, gives the surface area of a surface of revolution
To evaluate it explicitly, put . Then . Define
The chain rule gives , so the answer is
The positive logarithm arguments make this a real-valued expression. Rotating the segment's endpoints independently into one vertical plane before joining them would instead create a different surface, with surface area .
Figure 1.
The rotated segment has a curved radial profile, although its three-dimensional generator is straight.
Details.
Separation of variables gives
Here makes the argument of the second logarithm positive. Substituting the initial condition yields . The positive branch is therefore
This is the maximal connected interval containing on which this branch solves the original differential equation. At its left endpoint , the original right-hand side has a zero denominator, so one cannot extend the solution through that point merely by continuing the squared equation.
Use the real logarithm near zero and subtract its two Taylor series:
Thus the first three nonzero terms are
Divide by on an interval where it is nonzero. For the resulting first-order linear differential equation, use the integrating factor , since . The right-hand side after division is also , so
The identity shows never vanishes on the interval, giving
An integrating factor may have either fixed sign; if obtained by integrating , the real logarithm is .
For fixed real , the base is positive for all sufficiently large positive . Take its logarithm and use the Taylor expansion :
Continuity of the exponential function then gives . This includes .
Put , so . The integral becomes , giving
For the real logarithm, choose an interval in or ; the original integrand is singular at one and undefined for nonpositive .
This is a separable differential equation. Multiply by and integrate:
The initial condition gives . Hence
For a real solution the outer logarithm requires a positive argument. The maximal interval containing the initial point is therefore . At either endpoint diverges, so the real solution cannot continue through it with a finite value.
The even-power formula reduces every summand to a scalar multiple of :
Both series have absolute convergence. Apply the logarithm expansion for to obtain
Thus the off-diagonal entries vanish and both diagonal entries have the required value.
The argument is odd, so its squared sine is even. Replacing by interchanges the numerator and denominator inside the logarithm, changing that factor's sign. Thus the full integrand is an odd function. It is continuous on the symmetric interval because . Therefore