The characteristic polynomial is , with distinct complex roots . Taking the real and imaginary parts of the corresponding exponential functions gives the real fundamental system of solutions and . Consequently the general real solution is
Their Wronskian is , so they span the two-dimensional real solution space.
For each , the Green's function is a distribution in satisfying
Equivalently, is a classical homogeneous solution on each side of , satisfies the same endpoint conditions, and obeys the Green function jump conditions
To see equivalence, let and denote its jumps. The singular part of is . Matching a unit Dirac delta distribution with no derivative first forces continuity, then the unit derivative jump. Conversely these conditions produce exactly that distribution. The solution for a regular forcing is . The homogeneous endpoint problem has only the zero solution, which ensures uniqueness of this kernel.
Choose a left-end solution and a right-end solution . They satisfy and . Their Wronskian, with the order used here, is
The Green's function is , where and . Explicitly,
The two expressions agree at the source. Their derivative difference is , checking both normalization and sign. The first-order derivative term means the kernel need not be symmetric under exchange of and .
A distribution is a continuous linear functional on the space of test functions . A precise useful form of continuity is: for every compact set there exist an integer and a constant such that
Equivalently, if a sequence of test functions has supports in one fixed compact set and every derivative tends uniformly to zero, then its images under tend to zero. Keeping a common compact support is part of the test function topology; mere pointwise convergence is insufficient.
Linearity follows from linearity of differentiation and point evaluation. For a test function supported in a fixed compact set , its value and derivative vanish at any point outside . Therefore
This proves the continuity estimate with and for every . Thus the stated mapping is a distribution of order at most one, supported in . In particular, a sequence tending to zero in the test function topology has both and .
The distributional derivative is defined by moving the derivative onto a test function and changing the sign:
Since , one has . Hence
The minus sign in front of is essential: it makes its action the positive derivative evaluation required here.
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 .
Normalize the Laguerre differential equation as , where and . At , the products and are analytic. Thus zero is a regular singular point, with indicial equation
At the coefficients are analytic, so it is an ordinary point. No singular-point indicial equation is needed there.
For infinity put and . Then the equation becomes
At , the coefficient is not analytic. Therefore infinity is an irregular singular point, including when . A terminating polynomial solution does not change the classification of the differential equation.
Substitute and compare the coefficient of . The two derivative terms give , while the remaining terms give . Thus
Iterating the recurrence gives
Indeed the recurrence first vanishes at and then remains zero. Consequently the Laguerre polynomial is
with exact degree and leading coefficient . This is the regular power-series branch normalized at zero; the second branch at the repeated indicial root is not an additional analytic solution with this normalization.
Assume first that . Substituting Rodrigues' formula for gives
Here integration by parts was performed times. Each boundary term vanishes: at infinity a polynomial times tends to zero; at zero every derivative of of order less than vanishes. If , the derivative is zero, proving orthogonality. The case follows by exchanging the two factors.
For , the leading coefficient found above gives . Therefore
The same conclusion includes directly. Thus the full Laguerre orthonormality relation is

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