For the Sturm-Liouville problem , assume that the boundary term vanishes. One integration by parts gives the displayed identity. Distinct eigenvalues make the right side zero by orthogonality of Sturm-Liouville eigenfunctions, so the derivatives are orthogonal with weight , while the original functions are orthogonal with weight . This conclusion uses the absence of the term: for a general potential the extra integral need not vanish. For the Chebyshev polynomial of the second kind of degree , the two weights are and .
Match the coefficient of with the derivative of the coefficient of . For Sturm-Liouville form this requires
A positive integrating factor is therefore , with any positive constant multiple equally valid. Direct calculation gives
This uses the plus-divergence sign convention of the question. The usual minus-divergence Sturm-Liouville operator is its negative; no extra sign is inserted into the requested eigenvalue equation.
Because never vanishes on the interval, multiplying the original eigenvalue equation by leaves the requested weighted eigenvalue problem unchanged:
The weight in the inner product is essential. The substitution gives
Thus orthogonality of Sturm-Liouville eigenfunctions holds for the weighted inner product with weight , and the squared norm is .
Use the drift-removing substitution for a Dirichlet Sturm-Liouville problem, . Direct differentiation gives . The homogeneous boundary conditions become , so the eigenvalues and eigenfunctions are
The self-adjoint weighted form is
Thus the weight and leading coefficient are both . The orthogonality of Sturm-Liouville eigenfunctions reads
After multiplying the forcing equation by , it becomes . Expanding in the sine series of part (i) and dividing by gives
Every term satisfies the endpoint conditions. As a check, solving the transformed ODE directly gives , which has the same coefficients and forcing.
For the real coefficients of the stated self-adjoint Sturm-Liouville problem, define the weighted inner product
Since , a nonzero eigenfunction has positive squared norm. Let . Integration by parts and the Dirichlet boundary conditions give
Taking to be an eigenfunction shows that its eigenvalue is real, since is real. For two eigenfunctions with eigenvalues , the same identity gives
Hence distinct eigenvalues imply orthogonality in the weighted inner product. This is the orthogonality of Sturm-Liouville eigenfunctions. The calculation assumes the regularity needed for the stated self-adjoint boundary problem, so all boundary terms and integrals are defined.
Multiply the original equation by . Since , it becomes with , . This is Sturm-Liouville form. For two real eigenfunctions, multiply the equation for by , subtract the equation for multiplied by , and integrate. The Lagrange identity for a Sturm-Liouville operator gives
Each separated homogeneous boundary condition makes the corresponding determinant zero, provided its pair of coefficients is not both zero. For distinct eigenvalues, this proves the orthogonality of Sturm-Liouville eigenfunctions.
For the constant drift, the drift-removing substitution for a Dirichlet Sturm-Liouville problem is . It reduces the equation to with . Nonzero solutions occur exactly at
The zero and negative values give only the zero solution under both endpoint conditions. The self-adjoint expression is . Hence the weight is , and for the displayed normalization,
Multiply the equation for by and the equation for by , then subtract. The common terms cancel, and integration by parts gives the Lagrange identity for a Sturm-Liouville operator:
At each endpoint the two pairs and satisfy the same nontrivial homogeneous linear equation. They therefore lie on the same one-dimensional line, and their determinant vanishes. The boundary expression is zero. Since the eigenvalues are distinct, division gives the required orthogonality of Sturm-Liouville eigenfunctions:
For complex-valued eigenfunctions of a real self-adjoint problem one may choose real eigenfunctions, or use the conjugated version as a weighted inner product.
For real eigenfunctions , multiply their Sturm-Liouville problems crosswise and subtract. Integration gives
At , both eigenfunctions vanish, while at their bounded values and bounded first derivatives multiply a factor tending to zero. The right side is zero. Distinct eigenvalues therefore give the orthogonality of Sturm-Liouville eigenfunctions
For complex eigenfunctions, replace by , in accordance with the weighted inner product.
For two real eigenfunctions, multiply the equation for by and the equation for by , then subtract. The terms cancel. The resulting Lagrange identity for a Sturm-Liouville operator is
Integrating first over and then taking the endpoint limits gives
The needed assumptions are that the improper integral exists and that the displayed boundary expression tends to zero at both endpoints. Bounded and their first derivatives are sufficient because , but are stronger than necessary. Merely knowing that does not control arbitrarily growing eigenfunctions. With the vanishing boundary form and distinct eigenvalues, division by proves orthogonality of Sturm-Liouville eigenfunctions:
For complex eigenfunctions in a real self-adjoint differential operator problem, use instead, giving the corresponding weighted inner product.
Multiplying the particular equation by puts it in Sturm-Liouville form:
Consequently
Its polynomial eigenfunctions are the Laguerre polynomials. Products of these polynomials, with or without one derivative, grow only algebraically at infinity. The exponential in therefore makes the boundary form vanish there; its factor makes it vanish at zero. Their orthogonality is thus
For , substitution of gives . For , substitution of gives and . Choosing , which fixes the otherwise arbitrary nonzero multiplicative constants, yields
Their product is . Using the Gamma function identity , also obtainable by repeated integration by parts, verifies the required orthogonality directly:
For real positive weight , the weighted inner product is
The functions must have finite weighted norm; the conjugate is omitted for real functions. Multiplying the differential equation by gives
Thus the Sturm-Liouville form has , and . With the positive-sign spectral convention define
The existing Laguerre differential operator on polynomials uses the opposite operator , with eigenvalues ; keeping this sign convention explicit avoids confusing the two descriptions.
For admissible , integration by parts gives
The boundary form must vanish for every pair in the self-adjoint domain. In the usual regular-at-zero Laguerre realization one imposes , excluding the logarithmic branch; at infinity one uses the weighted square-integrable domain with vanishing boundary form. A condition would be inappropriate for polynomial eigenfunctions. For any pair of polynomials, the factor makes the boundary form zero at zero, while the exponential beats all polynomial growth at infinity. These functions also have finite weighted norms.
Self-adjointness yields , giving orthogonality of Sturm-Liouville eigenfunctions:
For the specified polynomials, direct differentiation gives and . Hence their eigenvalues in the displayed convention are 1 and 3, respectively, or −1 and −3 for .
To find the quadratic, put . The equation reduces to . Thus , . Since ,
These are scalar multiples of the Laguerre polynomials of degrees one, three and two.
For , the first integral is , so all solutions with the prescribed interior normalization are
Two independent choices are
They both equal one at , and their Wronskian is . For sufficiently large , the last unit interval contributes at least , proving that . These are the zero-eigenvalue solutions of the Laguerre differential equation, with the second expressible through the exponential integral. It also has a logarithmic singularity at zero and is not an admissible polynomial or weighted square-integrable eigenfunction. An interior value alone does not enforce the endpoint conditions of the spectral problem.
Use the real eigenfunctions, or insert a complex conjugate on the first factor for complex functions. Multiply by , do the same with interchanged, and subtract. Integration by parts gives
The boundary term vanishes because both functions and derivatives are bounded while . For distinct squared indices, orthogonality of Sturm-Liouville eigenfunctions therefore yields
A second integration by parts, using the equation for , gives
Thus derivative orthogonality when the Sturm-Liouville potential vanishes gives
The index qualification matters. The source initially allows integer indices, so alone does not imply distinct eigenvalues: gives the same . Taking the conventional nonnegative labels makes the stated conclusion valid. For the polynomial solutions below, , so opposite indices are an explicit counterexample to an unqualified orthogonality claim.
Let . By self-adjointness,
Taking first shows that each eigenvalue is real: for a nonzero eigenfunction, since . Therefore
For distinct eigenvalues this proves orthogonality of Sturm-Liouville eigenfunctions:
The weight is essential: this need not be orthogonality under the unweighted integral.
On its specified domain of admissible functions, a self-adjoint operator equals its adjoint, including the adjoint domain. Its integration identity on the interval is
For a differential operator, the boundary conditions must make the boundary form from integration by parts vanish. Formal symmetry of the differential expression alone does not specify a self-adjoint boundary-value problem.
Apply this identity to two eigenfunctions. Since the weight is real,
First take : positivity of shows , so the eigenvalues are real. For distinct eigenvalues, subtraction therefore gives
This is orthogonality of Sturm-Liouville eigenfunctions in the weighted inner product, rather than necessarily in the unweighted inner product.
Multiplication by a positive weight puts the differential equation into Sturm-Liouville form if . Thus , and the constant factor can be chosen so that
This fixes the otherwise arbitrary normalization of the weight consistently with the requested unit norms.
Write the polynomial as . Comparing coefficients gives
Consequently , identifying the solutions as Laguerre polynomials. In particular,
Repeated integration by parts gives the moments . Therefore
For later use, integration by parts in the weighted eigenvalue equations also gives
The endpoint expression vanishes because of the factor at zero and exponential decay at infinity. Hence distinct Laguerre polynomials are orthogonal, an instance of orthogonality of Sturm-Liouville eigenfunctions.
Fix one self-adjoint choice of separated homogeneous Dirichlet boundary conditions or Neumann boundary conditions at each endpoint. The stated product condition then makes the boundary term vanish. Multiplication of by and integration by parts give
Hence define the quadratic functionals
and for nonzero admissible . The first expression for is linear in the operator , and is linear in the weight .
To prove the minimum statement, expand an admissible function in a complete weighted orthonormal system of eigenfunctions of the Sturm-Liouville problem, , with ordered eigenvalues . Self-adjointness and orthogonality of Sturm-Liouville eigenfunctions give
Equality is attained by a lowest eigenfunction, so
This is the Rayleigh-Ritz variational principle. The endpoint product condition is shorthand for fixed choices of boundary type: allowing each trial function to choose different endpoint types would not define one fixed self-adjoint eigenvalue problem.
Let with in the self-adjoint domain. By the boundary identity from part (i),
Since its squared weighted norm is positive, .
For and , the same identity gives
Thus implies
This is orthogonality of Sturm-Liouville eigenfunctions. Degenerate eigenspaces can be given an orthonormal basis, although vectors in a degenerate eigenspace are not automatically orthogonal.
First, setting in the self-adjoint operator identity shows that is real, so every eigenvalue is real. For two eigenfunctions,
Distinct eigenvalues therefore imply
This is orthogonality of Sturm-Liouville eigenfunctions.
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, whereas
The 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, is
For the real choice, omit the complex conjugate.
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 gives
For each positive root , the squared norm is
Consequently the sine coefficients in any complete expansion are
When , 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 is
For , a negative eigenvalue admits , with
There is exactly one positive root: decreases strictly from to zero. For example, its derivative has the sign of , because . Thus the corrected expansion is
These 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 obeys
because . 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.
Multiplication by gives the Sturm-Liouville form
so the weight is . Use the weighted inner product and the Sturm-Liouville operator . Integration by parts gives its boundary form:
The upper endpoint term vanishes by the Dirichlet boundary conditions, and the lower one vanishes for the regular solutions. More precisely, the radial Dirichlet spectrum in three dimensions identifies under the unitary transformation with on with zero endpoint values; this specifies the self-adjoint realization at the singular endpoint as well as proving the formal identity.
For eigenfunctions with different eigenvalues, the same identity gives . Taking real eigenfunctions proves the required orthogonality of Sturm-Liouville eigenfunctions.
Multiply the equation for by and that for by , then subtract. Integrating the resulting identity yields
All endpoint terms vanish because both functions satisfy the zero Dirichlet boundary conditions. Since the multipliers differ,
This is the weighted orthogonality of Sturm-Liouville eigenfunctions.