Set , so , and write . Direct differentiation of this Cauchy-Euler equation gives
The eigenvalue equation is therefore with . For , the linear/hyperbolic solutions cannot satisfy both endpoint conditions except trivially. For , the sine solution vanishes at both endpoints exactly when its frequency is a positive integer. Thus
Each associated eigenspace is one-dimensional.
The displayed differential operator is not self-adjoint for the unweighted inner product. Let . Integration by parts on compactly supported smooth functions gives its formal adjoint
which differs from . One can see an explicit failure of symmetry without boundary terms: take a nonzero real compactly supported smooth in the interval and . Then
Both test functions obey the Dirichlet endpoint conditions. Changing the sign of for the eigenproblem does not repair this failure. A different, weighted inner product with weight does give the Sturm-Liouville form , explaining why a real discrete spectrum is nevertheless natural.
Use the cosine difference identity to separate the kernel:
Thus has image , where , . Their squared norms in are and they are orthogonal. Consequently
Every nonzero eigenvalue must belong to this two-dimensional image, so the complete list of eigenvalues of finite multiplicity is
Each has multiplicity one. On the operator vanishes, giving the zero eigenvalue infinite multiplicity. For example is a nonzero element of the kernel because both relevant integrals over the interval vanish.
The forcing is , which lies in the image of . Since the eigenvalue on is , a particular solution is . The full family is
Thus solutions exist and are not unique: adding any element of the infinite-dimensional kernel leaves unchanged. For example every constant can be added.
Every image of is a linear combination . The function is not such a combination. Indeed these functions are continuous, so equality almost everywhere would imply equality everywhere; evaluation at the endpoints would require simultaneously and . Therefore the forcing is outside the image and there is no solution. Orthogonality to the kernel is the equivalent image test for this self-adjoint finite-rank operator.
Rewrite the equation as . On , the operator has eigenvalues and , both nonzero. On it equals . The orthogonal decomposition therefore makes bijective with bounded inverse. In particular there is exactly one solution for this forcing. This is also the finite-rank Fredholm alternative: is not an eigenvalue of , so adding the identity term removes the image obstruction present in .

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