Expand the two operators before comparing coefficients:Equality requires , , and . Thus , giving the positive integrating factorWith , the result is the Sturm-Liouville form . The arbitrary positive multiplier rescales both sides of the eigenvalue problem and does not change its eigenvalues. The coefficient is already present in the divergence term of ; it must not be counted a second time in the exponential.
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 giveHence define the quadratic functionalsand 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 giveEquality is attained by a lowest eigenfunction, soThis 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 isThe trial is admissible because and vanishes at one. Its Rayleigh quotient has numeratorand denominatorConsequently the Rayleigh-Ritz variational principle givesThe 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.
For the added trial term , the left Dirichlet boundary condition is automatic for a positive integer . At the right endpoint,To preserve for an arbitrary variational coefficient , choose . Then minimize the Rayleigh quotient of over .
Since remains available, this optimization cannot worsen the original upper bound. For , the added function is a multiple of the first trial, so the quotient does not change: an independent choice is needed for extra freedom. More generally, several such functions form the exponential-polynomial trial space for a mixed Sturm-Liouville problem, and the Rayleigh-Ritz method reduces minimization to a small generalized eigenvalue problem.
The added sine vanishes at zero. Its derivative at one is , so nontrivial admissible choices areNegative values give the same trial directions after changing the sign of ; adds nothing. For each choice, minimize the Rayleigh quotient of over , or optimize over several coefficients simultaneously. The original trial is included, so the best bound is no larger than . Enlarging the trial subspace successively is the Rayleigh-Ritz method; the boundary-compatible half-integer sines provide additional independent shapes.
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