The coordinate tangent vectors are the partial derivatives of the position vector:
Their pairwise dot products vanish. Their lengths, the scale factors of orthogonal coordinates, are . Since , the last is positive throughout the body. Thus these circular torus coordinates are orthogonal wherever ; at the cross-section angle degenerates, as in ordinary polar coordinates.
The ordered Jacobian determinant is
Its sign is positive for , so the volume element is . The coordinate degeneracy on the central circle has zero volume and does not obstruct volume integration.
Figure 1.
Circular torus coordinates and their orthogonal tangent directions
. Details.
Take the closed surface with its outward orientation. For sufficiently smooth fields defined throughout the solid, the divergence theorem and the identity that the divergence of a curl is zero give
Thus the curl term carries no net outward flux, and is independent of . The hole in the solid torus does not invalidate the divergence theorem; singularities of inside the integration region would invalidate the smoothness argument and must be excluded.
Only the quartic term contributes to the Laplacian. The mixed cubic has zero second derivative in each coordinate, while the exponential–trigonometric pairs are harmonic:
Using and the Jacobian determinant from part (a), the divergence theorem gives
The term containing integrates to zero. Equivalently, the second vertical moment of a solid ring torus with major radius one is .
Remove the first spatial derivative by the Dirichlet gauge transform for constant drift:
The nonzero exponential factor preserves the zero side and top values; it also preserves on the bottom. A separated product has the spatial eigenvalue problems
The nontrivial solutions are for and for . There is no zero spatial mode in either direction. The temporal equation gives , where
Therefore the mixed-boundary drift-diffusion eigenmodes on a rectangle give
At the temporal factors are one, giving the required expansion. The sine and mixed-end cosine bases are complete and orthogonal for . In particular,
The factor four comes from the product of the two squared basis norms, each .
After multiplying the initial field by , the dependence is exactly the cosine mode. Its orthogonality therefore gives when . For , the remaining Fourier coefficient in the Fourier sine series is
Thus
The coefficients are independent of , because the initial exponential exactly cancels the drift-removing weight. Substitution into the preceding expansion gives the full subsequent solution, with decay rates .
For the Green function of , the homogeneous solutions satisfying the left and right endpoint conditions are and . Their Wronskian is
Continuity of the kernel at and integration of require . Hence the Dirichlet modified Helmholtz Green function on an interval is
Here and . The negative sign is essential for this operator convention. Integrating the forcing against the kernel gives
This satisfies both endpoint conditions. It solves the equation classically for continuous , and in the corresponding weak sense for integrable forcing. A homogeneous difference satisfying both endpoint conditions must vanish, so the solution is unique.
Use the zero initial displacement and velocity given in the PDF. The characteristic roots of the homogeneous equation are . Its causal Green function of a damped oscillator is
where is the Heaviside step function. The positive-time kernel has and , so its derivative jump generates a unit impulse. The zero-data forced solution is consequently the causal convolution
Differentiating once gives ; differentiating twice supplies the endpoint term and verifies the differential equation. No homogeneous transient is required with these initial data.
The PDF bounds the absolute value of the forcing. Taking absolute values in the Green function integral and using yields
For , this gives
The ratio is nonnegative for either or . The missing special case is , for which
This proves decay of a damped oscillator under exponentially decaying forcing. A one-sided upper bound on without an absolute value, as in the transcription, would not justify the conclusion.
Use the Fourier transform convention , with inverse factor . Direct integration over the pulse gives
The apparent singularity at zero is removable. Changing the values of the pulse at its two endpoints does not affect the transform.
The filter is a real even triangular function. Its Fourier transform is
with . Since the transmitted pulse is the convolution , the convolution theorem gives
The normalized filter preserves the time integral of the pulse, while its extra inverse-frequency factors suppress high-frequency content. It is a smoothing filter rather than an exact compact-bandwidth cutoff.
By the Fourier modulation and translation identity, delaying the pulse by multiplies its transform by . Hence
The removable value at zero is . For real , the squared spectral magnitude is multiplied by , showing the interference between the direct and reflected signals.
The Fourier transform of a Gaussian gives
The Fourier transform of a derivative obeys , so multiplication of the spectrum by corresponds to . Since ,
This is real and even, as required by the given spectrum. Its time integral is two for every , consistently with .
Let . Commutation gives , so preserves each eigenspace of . Since the eigenvalues of are nondegenerate, each eigenspace is one-dimensional and . The spectral theorem for a Hermitian matrix lets us choose these vectors as an orthonormal eigenbasis. With ,
This is simple spectrum gives simultaneous diagonalization. The common eigenvectors can be chosen up to their phases and ordering. In fact degeneracy does not prevent a common eigenbasis for commuting Hermitian matrices, but the one-dimensional argument already suffices here.
The convergent matrix exponential series respects similarity, so and likewise for . Scalar exponentials multiply on each diagonal entry, giving
The essential hypothesis is commutation; Hermiticity supplies this convenient diagonalization proof.
Expand both sides through second order as , holding fixed. The product is
Put . Its exponential is
Thus
This is the quadratic part of the Baker--Campbell--Hausdorff formula. The remainder estimate is in any fixed finite-dimensional matrix norm, and is an asymptotic statement rather than an exact formula for arbitrary finite .
Use the lower antisymmetric block shown in the original PDF. Write with
Powers preserve the block structure. Splitting the matrix exponential series into even and odd powers gives . For the other block, the matrix exponential when the square is minus the identity gives . Therefore
The upper block is hyperbolic and the lower block is a rotation. The transcription's altered last row and hyperbolic functions in the lower block would describe a different problem.
The spectral theorem for a real symmetric matrix gives real eigenvalues and an orthonormal eigenbasis. Compute the roots of , find a basis for each eigenspace, and orthonormalize within any repeated-eigenvalue eigenspace. Eigenvectors belonging to distinct eigenvalues are already orthogonal: if and , symmetry gives .
Putting the normalized basis vectors in the columns of an orthogonal matrix yields
For repeated eigenvalues, the choice of axes inside their eigenspace is not unique.
The quadratic-form matrix has eigenvectors
with eigenvalues . In the principal axes coordinates , and , the equation becomes
It is a prolate spheroid, centred at the origin, with semiaxis three along and one in every perpendicular direction. The displayed are one choice of short principal axes.
The sphere has equation . Combining it with the ellipsoid equation gives
The intersection of a prolate spheroid and a concentric sphere therefore consists of two circles in planes perpendicular to . Each has radius , and their centres are
Their plane equations in the original coordinates are .
Figure 1.
The ellipsoid, radius-two sphere, and their two circular intersections in principal coordinates
. Details.
Minimize or maximize subject to . A Lagrange multiplier gives
The constraint excludes and implies , so it is a regular constraint surface. Multiplying the stationarity equation by gives . Thus the distance extrema on a real quadratic surface satisfy
Every constrained extremum lies in a positive-eigenvalue eigenspace, with squared distance . If is positive definite, the global minimum is and the global maximum is . For an indefinite or singular form the surface need not be bounded; eigenvector directions give stationary candidates, which may be saddles and need not supply both global extrema. With a repeated positive eigenvalue, there can be an entire family of equally distant stationary points.
Complex differentiability requires the same limit for increments along the real and imaginary directions. Real increments give . Imaginary increments give
Equating real and imaginary parts yields the Cauchy-Riemann equations
They hold throughout the open region where is holomorphic. Conversely, continuous first real partial derivatives satisfying these equations on an open set ensure holomorphy there.
For the real part specified in the PDF,
Integrating gives
Substitution into shows . Thus
Indeed , so the real part of is exactly the prescribed expression. The arbitrary imaginary constant is the only freedom on a connected domain.
Write and assume its domain is open and connected. If the constant modulus is zero then . Otherwise let . Differentiating this identity and using the Cauchy-Riemann equations gives
These are a linear system for with coefficient matrix , whose determinant is . Therefore , and the Cauchy-Riemann equations also give . It follows that
This proves the constant-modulus holomorphic function result directly. On a disconnected domain the same conclusion holds separately on each connected component, but the constants can differ.
Partial fraction decomposition give . Let . Each fraction has a geometric expansion, so
Equivalently, its coefficient is . The first terms are
The linear and fifth-order coefficients vanish. Both geometric series converge for , and has genuine simple poles at , each distance from the centre. Thus the Taylor series has
In normalized form, the coefficients are and . They are analytic near zero, so .
At each of , has a simple pole and at most a simple pole. The products and are analytic, so both are regular singular points. More precisely their limiting values are and zero, giving indicial equation , with exponents .
To classify infinity, set and . The transformed equation is
After division, its coefficients satisfy
Both are analytic at , while itself has a pole. Hence , with indicial exponents . These classifications remain valid at , when the exponents at infinity coincide.
Because zero is an ordinary point, substitute . Matching powers gives
Even and odd coefficients evolve independently. Taking and constructs solutions
Their initial values and derivatives give , so they are linearly independent. These power series of the Chebyshev differential equation span the local solution space. A useful check is and , with at .
For a nonterminating parity series, consecutive nonzero terms satisfy
The ratio test therefore gives for each nonterminating series. The nearest singular coefficient points are , both distance one from the expansion centre.
The polynomial exception is essential here. If is an integer, the series of the same parity as terminates and has ; the opposite-parity independent series remains nonterminating with radius one. For noninteger , both have radius one. A regular singular point can be removable for one particular solution, so its presence does not force every individual solution to have finite convergence radius.
If is an integer, the recurrence has zero numerator at . Choosing the parity containing therefore makes all later coefficients vanish. Conversely, for a nonzero polynomial of degree , the coefficient of in the differential equation is , so is necessary.
Normalizing the terminating series by gives the first Chebyshev polynomials:
Substitution verifies each differential equation and endpoint value. More generally, ; its recurrence also establishes polynomiality and the normalization.
For fixed endpoint values and smooth admissible variations, the Euler-Lagrange equation is
The first variation follows by integrating by parts and using at the endpoints.
For the claimed first integral, differentiate directly:
Along an extremal the bracket vanishes. Thus when , the Beltrami identity is
For a further regular constraint , introduce a constant Lagrange multiplier and make stationary. Apply the Euler-Lagrange equation to the combined integrand, then impose the endpoints and to determine the integration constants and multiplier.
A curve element has arc length and mass . Adding its gravitational energies gives
For the fixed-length constraint, use the augmented integrand . It has no explicit dependence, so the Beltrami identity gives
The desired lower circular arc is
It joins the required endpoints, subtends angle , and has length . Its slope gives . Therefore a gravitational potential producing a circular hanging chain is
Choosing makes the first integral constant, . Its gravitational acceleration is , which points downward. An arbitrary additive potential constant changes no force.
This construction really gives a minimum. With , the variable part of is ; the term is fixed by the length. The calibration for semicircular hyperbolic geodesics uses , whose gradient has norm . The Cauchy-Schwarz inequality gives , with equality on traversed left to right. Thus the circular arc minimizes the energy among competitors of the same length and endpoints in the stated potential domain, rather than merely satisfying a necessary stationarity condition.
Figure 1.
A circular hanging chain and the inverse-height gravitational potential that supports it
. Details.
Let , where for a nonzero admissible real function. Writing , its first variation is
Choose boundary conditions making the boundary term vanish, for example homogeneous Dirichlet boundary conditions, homogeneous Neumann boundary conditions, or a corresponding mixed pair. Arbitrary interior variations then give the Sturm-Liouville problem
Multiplying this equation by and integrating by parts, with , yields
Thus eigenfunctions are stationary directions of the quotient. The lowest eigenvalue is its global minimum; higher eigenfunctions need not be unrestricted maxima or minima. General Robin boundary conditions require including their boundary energy in the quotient unless the displayed endpoint products also vanish.
The Rayleigh-Ritz method chooses admissible trial functions depending on finitely many coefficients and minimizes this quotient over them. Expansion in a complete orthonormal basis with weight shows , so the trial minimum is an upper bound on the true lowest eigenvalue. In a finite basis, the minimization becomes a generalized eigenvalue problem for the stiffness and weighted mass matrices. Enlarging the trial space can only lower or preserve this upper bound.
For a spherically symmetric function, the Laplacian in spherical coordinates reduces to
Multiplying the Helmholtz equation by gives
The endpoint at is singular in Sturm-Liouville terminology; bounded regular radial fields select the physical solution and eliminate the branch. At the field has the imposed zero Dirichlet value. For regular solutions and admissible trial functions, the endpoint term vanishes at the origin and at the wall.
The radial Rayleigh quotient is
For the given trial profile, the numerator is . The denominator is
Therefore
The profile is regular at the origin and vanishes at the wall, so it belongs to the admissible trial space. This is the variational estimate for the radial Dirichlet modes of a spherical cavity.
Set for . Direct differentiation gives , so the radial equation reduces to
Boundedness of requires , and the wall condition requires . The nontrivial solutions are consequently
Their origin values are the removable limits . At , the only bounded radial solution is constant and the wall forces it to vanish, so there is no zero mode. The lowest eigenvalue is
It is below , as required by the Rayleigh-Ritz variational principle. The trial value overestimates by approximately .

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