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.
Use a Lagrange multiplier for the norm constraint. For real variations with , integration by parts gives
Thus stationarity is equivalent to the Sturm-Liouville problem
Multiplying by and integrating shows , so the constrained stationary values are the eigenvalues, and the normalized stationary functions are their eigenfunctions. Conversely the eigenvalue equation makes the constrained first variation vanish. The self-adjoint operator has weight one.
For , zero and negative eigenvalues yield no nonzero solution with both Dirichlet boundary conditions. Positive eigenvalues have solutions after the left condition, and the right condition gives , . Hence the lowest eigenpair is
where the amplitude follows from .
The Rayleigh-Ritz variational principle bounds the full lowest eigenvalue by . Its derivative contribution is one. For the linear potential, reflection about gives
Thus the sine trial bound for a linear potential on an interval is
For the bound is strict, since is not a constant multiple of . Also by the Poincaré inequality and the nonnegative potential. Equality in the upper bound holds at .
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:
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.
Expand the forcing and the solution in the normalized eigenfunctions: and . Their coefficients are
Since all are nonzero, the equation gives . Hence the required Sturm-Liouville eigenfunction expansion is
This is constant forcing in a logarithmic Dirichlet Sturm-Liouville problem. The coefficients are , so the solution series converges uniformly and has zero endpoint values. Applying is justified in the weighted square-integrable sense; the forcing sine series equals one at interior points, while its endpoint sums are zero. The equation is imposed in the interior, so this does not contradict the boundary conditions.
As an independent check, solving directly gives
It has both zero endpoint values and satisfies . The invertibility of the Dirichlet operator makes it the same solution as the expansion.
Let , where for a nonzero admissible real function. Writing , its first variation is
Choose boundary conditions making the boundary term vanish, for example homogeneous Dirichlet boundary conditions, homogeneous Neumann boundary conditions, or a corresponding mixed pair. Arbitrary interior variations then give the Sturm-Liouville problem
Multiplying this equation by and integrating by parts, with , yields
Thus eigenfunctions are stationary directions of the quotient. The lowest eigenvalue is its global minimum; higher eigenfunctions need not be unrestricted maxima or minima. General Robin boundary conditions require including their boundary energy in the quotient unless the displayed endpoint products also vanish.
The Rayleigh-Ritz method chooses admissible trial functions depending on finitely many coefficients and minimizes this quotient over them. Expansion in a complete orthonormal basis with weight shows , so the trial minimum is an upper bound on the true lowest eigenvalue. In a finite basis, the minimization becomes a generalized eigenvalue problem for the stiffness and weighted mass matrices. Enlarging the trial space can only lower or preserve this upper bound.
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.
Using the normalized eigenfunctions and the same change of variables, their weighted inner product is
For distinct positive integers , the product-to-sum identity gives
because each integrated sine has integer-multiple-of- endpoints. For , the integral is one by the normalization already calculated. Hence
This verifies orthonormality explicitly, with the Kronecker delta.
For an eigenfunction in the operator domain, . Substitution into the Rayleigh quotient gives
The cancellation only needs a finite nonzero norm; orthonormalization makes both denominator and norm equal to one.
Set in the wave equation. A nonzero product obtained by separation of variables obeys
The fixed-end Dirichlet boundary conditions require . The zero and negative spatial eigenvalue cases produce only the trivial solution; the nontrivial eigenfunctions are
For each normal mode, . By superposition and completeness of the Fourier sine basis, the general finite-energy solution has the expansion
If and , orthogonality gives and . Individual products are separable; their sum is the general solution.
Multiply the eigenvalue equation of the Sturm-Liouville problem by and integrate. Integration by parts gives
Since is a nonzero eigenfunction and , the denominator is strictly positive. Thus the Rayleigh quotient is
The endpoint term must be retained for a general Robin boundary condition; it vanishes for homogeneous Dirichlet boundary conditions but need not vanish in the present general problem.
The left boundary condition is , while the right one is . Hence . The Rayleigh quotient becomes
Every term on the right is nonnegative. If the whole expression were zero, in particular , so would be constant. Its zero value at the left endpoint would force , contrary to its being an eigenfunction. Therefore
This is the positivity mechanism for Dirichlet-Robin eigenvalues on a finite interval. The sign of the boundary contribution is positive for the convention with .
Self-adjoint form. Grouping the two derivative terms gives . Thus a regular Sturm-Liouville operator is
The boundary conditions are mixed Neumann boundary conditions at zero and Dirichlet boundary conditions at . For , , and , as required. The boundary term vanishes for two functions satisfying these conditions, confirming self-adjointness on that domain.
Constrained variation. Introduce a Lagrange multiplier for the normalization and vary
Its first variation is
The endpoint term vanishes because and . The Euler-Lagrange equation is therefore
which is exactly the original eigenvalue problem for the boxed choices of . Multiply by and integrate by parts. The same endpoint conditions give
Thus the stationary functional values are the eigenvalues, with . More generally, before normalization the relevant Rayleigh quotient is
Unperturbed ground mode. At , the equation is . The quadratic form is nonnegative, and zero eigenvalue would force a constant function incompatible with the endpoint at . For positive , . The derivative condition forces , while the other endpoint gives . Hence
The lowest eigenvalue and normalized eigenfunction are
Trial-function bound. The Rayleigh-Ritz method says that the minimum eigenvalue is no larger than the quotient of any admissible trial function. The same still satisfies both boundary conditions and retains unit norm. Its derivative is , giving
Using ,
Therefore the affine-parameter Sturm-Liouville eigenvalue bound is
This is an upper bound for every , not merely a small-parameter approximation. As a lower-bound check, and the unperturbed variational minimum imply for every admissible normalized . Thus
The relevant weighted inner product is . The normalized eigenfunctions of the Sturm-Liouville problem have the orthonormality property
Here is the Kronecker delta: the integral is one for and zero otherwise. The weight is , rather than or the unweighted measure.
For a nonzero admissible radial profile define the radial diffusion Rayleigh quotient
Minimizing the numerator subject to introduces a multiplier . The Euler-Lagrange equation for is
The allowed variations vanish at , and the natural condition at the centre is zero radial flux. Thus the minimum, when attained, is the smallest decay eigenvalue . Equivalently, expansion in weighted-orthogonal eigenfunctions makes a weighted average of their decay eigenvalues. The Rayleigh-Ritz variational principle therefore gives
Admissible trial functions must obey the outer boundary condition, be nonzero and have finite weighted norm and energy; they need not solve the differential equation. If the diffusion operator has no lowest eigenfunction, the same variational argument bounds the infimum of its spectrum. Existence of a fundamental diffusion mode is an additional assumption for strongly vanishing diffusivity, not a consequence of the identity alone.
Take real admissible functions with finite , positive , and a self-adjoint domain for the Sturm-Liouville operator. Compactly supported variations avoid any boundary contribution at infinity. Formal self-adjointness gives
For , the quotient rule therefore gives
Vanishing for arbitrary variations requires
Conversely an eigenfunction in the self-adjoint domain makes this variation zero. Multiplying its equation by and integrating also shows directly that its stationary quotient is .
Thus the stationary values are the admissible eigenvalues. Under the usual positive-weight, semibounded hypotheses the lowest is the global minimum, while higher eigenfunctions generally give saddle points. The assumption alone is not a complete domain specification for arbitrary : the required integrals and boundary form must exist. The rapidly decaying oscillator trials in part (b) meet these conditions.
Normalize the Gaussian trial first. The Gaussian integral gives
Its second and fourth moments are and . Since , the kinetic term is . At the specified coupling, the energy is therefore
The stationary condition is
The quadratic factor is positive for real , so the unique positive stationary width is . Also and diverges at both ends of , proving a global minimum within this trial family. Its value is
The associated Sturm-Liouville problem is
Here , and . The Rayleigh-Ritz variational principle makes the exact lowest eigenvalue the minimum over all normalized admissible states. Restricting to Gaussians can only raise this minimum, hence . The inequality is strict because is not constant: the trial is not an exact eigenfunction. This is the Gaussian trial for a quadratic-plus-quartic oscillator.
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.
Move the differential terms to the left in the sign convention of part (a). Then , , and . The integrating factor is therefore , up to a positive constant. The Sturm-Liouville problem is
The trial is admissible because and vanishes at one. Its Rayleigh quotient has numerator
and denominator
Consequently the Rayleigh-Ritz variational principle gives
The numerator is positive for every nonzero admissible function, so the lowest eigenvalue is positive. The trial is not an exact eigenfunction: substituting it would require for every . Thus the upper inequality is actually strict. This example underlies the exponential-polynomial trial space for a mixed Sturm-Liouville problem.