If has no explicit dependence, the chain rule gives
Consequently
on an Euler-Lagrange equation solution. Thus the Beltrami identity supplies the first integral
The opposite sign is an equally valid convention. The conserved value can be zero for particular integrands or paths; absence of explicit alone does not guarantee a nonzero numerical value. The useful statement is that this expression is constant along an extremal.
For fixed endpoint values, a stationary differentiable path obeys the Euler-Lagrange equation
It follows by taking the first variation of the functional and integrating the term in by parts; vanishes at the endpoints.
At the smaller indicial root , the equation is : it leaves free. For , the valid recurrence is
Choosing makes every later coefficient zero. The resulting terminating Frobenius series is therefore
Substitution gives and ; the three terms in the equation sum to .
Termination is a permitted choice, not a condition forced on every smaller-root solution. Retaining the free adds the solution in part (e), so the general real solution on is . This is exactly the freedom explained by undetermined coefficient at Frobenius resonance. On either negative interval avoiding and , analogous real formulas use and .
The Taylor series of the logarithm gives
Therefore the closed form of the larger-root Frobenius solution is
The series derivation holds initially for ; the closed form extends as a real solution to all . To check it without series, put in the original equation. All undifferentiated terms cancel and the remaining expression is . Hence , and indeed solves it. Its logarithm is analytic near zero, so this is not a forced companion term at the Frobenius point.
For the larger indicial root , the recurrence in part (b) becomes
No factor being cancelled is zero in this range, so
Thus the resulting Frobenius solution is
There is exactly one free parameter, , setting the overall scale. The analytic series factor has radius of convergence one. For a real-valued expression take ; a complex version requires a local square-root branch.
Because , the lowest-power equation from part (b) requires the indicial equation
The two candidate indicial roots are therefore
Their difference is the integer one, so the smaller-root coefficient equation at needs examination rather than automatic division.
For the Frobenius solution, differentiate term by term:
The unshifted terms in the equation have coefficient . The extra factors of give the shifted contribution . Equating the coefficient of for gives the linear recurrence relation
Factoring both coefficients is especially useful:
The separate lowest-power equation is . Do not cancel when it vanishes: that is the possible undetermined coefficient at Frobenius resonance.
After division by the leading coefficient, write , where
The only finite singular points of a differential equation are . At zero, and are analytic. At , and are analytic. The regular singular point criterion for a second-order equation therefore makes both points regular.
If infinity is included, it is a regular singular point at infinity as well: and . Equivalently, with the transformed coefficients are and , which satisfy the same regular-singular criterion at .
Using the exponential form of the complex cosine, is equivalent to . Thus the zeros are exactly
At each point , so the cosine has a simple zero. Cubing it gives
The order of a zero of a holomorphic function is therefore three at every zero. There are no finite singularities because this is an entire function.
To classify infinity, examine at . The identity shows that its Laurent series contains the nonzero negative-power coefficients
There are infinitely many terms in the principal part, the criterion for an essential singularity. Therefore This is also the general characterization of a nonpolynomial entire function at infinity.
Insert the specified real part into the polar Cauchy-Riemann equations. The first gives , and integration with respect to gives
The second equation then requires , so . The remaining imaginary additive constant is fixed by . Thus
The resulting polynomial is holomorphic at the origin too, consistently extending the calculation made in polar coordinates with .
For a holomorphic function with , the chain rule gives
Writing and equating real parts and imaginary parts,
For , division by gives the Cauchy-Riemann equations in polar coordinates:
The restriction reflects the coordinate singularity at the origin; the Cartesian equations have no such restriction.
Use and take the Hermitian conjugate in the reverse product order:
The factorization gives , while . Consequently
The last equality uses the fact that commutes with and its inverse. Thus is a Hermitian matrix. The exclusion of the eigenvalue one is essential to define the inverse. Spectrally, an eigenvalue is sent to , a real number. This is the inverse Cayley transform of a unitary matrix without eigenvalue one.
Part (a) makes each real. In the eigenvector basis,
and . Hence .
All factors that are rational functions of commute. Taking the Hermitian conjugate reverses product order and gives
Therefore
so . This is a Cayley transform of a Hermitian matrix, with scale and the convention that an infinite real eigenvalue maps to one.
Applying it to each eigenvector yields
The eigenvectors are unchanged, and because numerator and denominator are complex conjugates. No equals one when . The scalar map is injective on real , so the eigenspaces, including any degeneracies, are preserved exactly.
A complex square matrix is a unitary matrix if . Equivalently, it preserves the complex inner product and hence the norm. If with , then
Division by the positive squared norm gives . Thus every eigenvalue lies on the unit circle.
Let be a Hermitian matrix and with . The scalar equals its own complex conjugate, because
Since and the squared norm is positive, .
Now take and . The inner product satisfies
Subtracting gives . Thus distinct eigenvalues imply , proving orthogonality of the corresponding eigenvectors. Within a degenerate eigenspace, an orthonormal basis may be chosen, but arbitrary distinct vectors in that same eigenspace need not be orthogonal.
At the angles in part (f),
Let the two diagonal matrices be and . Multiplication gives
The vector condition is exactly . For , the general form is therefore
Every pair is attainable, for example with and . The transformation need not be orthogonal or invertible; the question asks only for diagonal rescalings with this one vector image. If and , no linear map can satisfy the condition. If , the entry is arbitrary as well.

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