Use the standard regular Sturm-Liouville problem hypotheses: positive weight , real coefficients, and real self-adjoint boundary conditions. The positive weight and boundary-domain assumptions are implicit in the requested real orthonormal basis; real differential coefficients alone would not guarantee them for arbitrary complex boundary conditions.
Multiply the eigenfunction equation by and integrate. By self-adjointness, the number is real, whereasThe second integral is strictly positive, so . Because the coefficients and boundary conditions are real, the real and imaginary parts of any complex eigenfunction separately obey the same equation and conditions. At least one is nonzero, so a real eigenfunction can be chosen. More generally, each eigenspace has a real basis, which can be orthonormalized using the weighted inner product.
The orthogonality of Sturm-Liouville eigenfunctions, with normalization chosen to one, isFor the real choice, omit the complex conjugate.
The Sturm-Liouville eigenfunction expansion of a suitable real function isComparing this identity with the sampling property of the Dirac delta distribution gives the completeness kernelThis is an identity of distributions, rather than a pointwise-convergent series of ordinary functions.
Assuming zero is not an eigenvalue, define the spectral Green function of a regular Sturm-Liouville problem byApplying gives : multiplying the preceding completeness kernel by leaves the Dirac delta distribution unchanged. Each term also obeys the same homogeneous boundary conditions. There is no extra weight factor in for the ordinary source measure .
If zero is an eigenvalue, the inverse Green's function does not exist on all forcing functions: the forcing must obey the solvability condition at a Sturm-Liouville eigenvalue. Omitting the zero mode instead constructs a reduced inverse, with its projection removed from the right-hand side. This exception occurs in part (c) at .
Write the endpoint condition in its linear Robin boundary condition form . For a positive eigenvalue , the left Dirichlet boundary condition gives , and the right condition givesFor each positive root , the squared norm isConsequently the sine coefficients in any complete expansion areWhen , these are all modes and the Sturm-Liouville eigenfunction expansion gives exactly the stated sine series, with the usual convergence interpretation. Positivity of all eigenvalues follows from integration by parts and the Cauchy-Schwarz inequality:for a nonzero admissible , since .
However, the original PDF states only , and with that range its sine-only completeness claim is false. The missing modes are as follows. At , admits , so the correct expansion isFor , a negative eigenvalue admits , withThere is exactly one positive root: decreases strictly from to zero. For example, its derivative has the sign of , because . Thus the corrected expansion isThese are the nonpositive modes in a Dirichlet-Robin interval expansion. As an explicit counterexample to the printed claim, at take : it satisfies both boundary conditions, and each positive root obeysbecause . Thus all vanish despite . Likewise is a counterexample for , by orthogonality of Sturm-Liouville eigenfunctions with distinct eigenvalues. The formulas above give the full solution without silently assuming away the omitted modes.
Put and . Their differential equations are and . Subtract the two cross-multiplied equations and use integration by parts:The lower boundary term is zero because both functions vanish there. At the upper endpoint, the Robin boundary condition gives , soSince distinct positive roots have , we concludeThis orthogonality holds for every , even when the sine family requires the additional nonpositive mode for completeness as explained in part (c).
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