The Dirichlet sine modes on are orthogonal, and so are the Neumann cosine modes. That is not a coincidence of trigonometry. It comes from integration by parts, and it survives when the equation has variable coefficients, provided the integral carries the right weight. This lesson writes a second-order eigenvalue equation in self-adjoint form, states the hypotheses that make the problem regular, and derives from them weighted orthogonality and the fact that every eigenvalue is real and simple. Throughout, is the independent variable and .
Key terms
Self-adjoint form
Definition A second-order eigenvalue equation is in self-adjoint form, also called Sturm-Liouville form, when it reads
where the functions , and of are the leading coefficient, the potential and the weight. Here sits inside the outer derivative, so it is not the middle coefficient of the normalized form used for initial-value problems. Write . For a continuously differentiable and twice continuously differentiable and , the Lagrange identity
holds, because the integrand is exactly the derivative of . The operator is self-adjoint on a set of functions when this boundary term vanishes for every pair , in the set. Any equation with continuous coefficients and on can be brought into this form. Multiply it by , where
which gives and .
In plain words Self-adjoint form puts the derivative of in front, so that integration by parts moves the operator from one function to the other and leaves only a boundary term. The function multiplying tells you which integral to use for orthogonality.
Example The equation has , so . Multiplying by gives , hence
with and . Legendre’s equation is already in self-adjoint form, since , with , and .
Positive leading coefficient and weight
Definition The coefficient hypotheses of a regular problem on a finite closed interval are that is continuously differentiable on , that and are continuous on , that all three are real, and that
Positivity of at every point, the endpoints included, means the equation can be divided by , and the normalized equation
has continuous coefficients on all of . So each initial-value problem at a point of has exactly one solution there. Positivity of makes for every continuous that is not identically zero, so the weighted integral below is a genuine inner product. These hypotheses say nothing about the sign of , and they do not make the eigenvalues positive.
In plain words The leading coefficient must not vanish anywhere on the closed interval, or the equation degenerates at that point. The weight must be positive so that the weighted integral of really measures the size of .
Example For on both functions are smooth and at least , so the hypotheses hold. For Legendre’s equation on the leading coefficient vanishes at both endpoints, so that problem is singular, and the regular theory does not carry over unchanged. Its familiar eigenfunctions, the Legendre polynomials with , come from requiring bounded solutions at , and the conclusions about them need a separate argument at the singular endpoints. Positive and also allow negative eigenvalues. The problem with has and , and gives , so is an eigenvalue.
Separated boundary conditions
Definition Separated boundary conditions impose one condition at each end,
with real constants such that and . The first condition involves only the left endpoint and the second only the right endpoint. Dirichlet, Neumann and Robin conditions are all of this kind. If and both satisfy the left condition, then the vectors and both solve the single equation with , so they are parallel and
The same holds at , so the boundary term in the Lagrange identity vanishes, and is self-adjoint on the functions that satisfy the conditions.
In plain words Each end gets its own rule, and that rule fixes the pair of value and slope there up to a common factor. Two functions with proportional pairs at an end have a zero Wronskian at that end, which is exactly what removes the boundary term.
Example The conditions and on are separated, with and . The periodic conditions and are not separated, because each of them couples the two ends. For they still make the boundary term vanish, so is self-adjoint there too, but the simplicity statement below fails for them, since and share the eigenvalue .
Regular Sturm-Liouville problem
Definition A regular Sturm-Liouville problem consists of the equation
on a finite closed interval, with the coefficient hypotheses above, which require and on all of , and with real separated boundary conditions at both ends. A number , real or complex, is an eigenvalue when the problem has a solution that is not identically zero, and that solution is an eigenfunction. Problems on an infinite interval, or with or vanishing at an endpoint, are called singular and need separate treatment.
In plain words A regular problem is the well-behaved case. The interval is finite, the coefficients are smooth and positive right up to the ends, and each end has its own homogeneous condition.
Example Solve on with , which is regular since and . Substitute . The factor never vanishes, so . Then
because the two terms cancel. Dividing the equation by leaves
which is the Dirichlet problem for on . So and , which gives
The first two eigenvalues are and . In the original form the equation is , and substituting and into it directly confirms each pair.
Weighted orthogonality
Definition For real functions on the weighted inner product is
In a regular Sturm-Liouville problem, real eigenfunctions and with different eigenvalues satisfy . To prove it, put and into the Lagrange identity. The terms cancel, and the separated conditions make the boundary term zero, so
and the integral vanishes because . If is an expansion in eigenfunctions with distinct eigenvalues, taking its weighted inner product with a fixed removes every term except the one with , which gives the coefficients
and an eigenfunction is normalized when . The eigenfunctions of a regular problem are also complete. For every piecewise continuous on , the series with these coefficients converges to in the weighted mean-square sense, which by itself does not give convergence at every point.
In plain words Orthogonality is not imposed from outside. It falls out of the equation once the boundary term is gone, and the weight in the equation is the weight that must appear in the integral.
Example For the modes and of the example above, the weight cancels the two exponential factors,
The unweighted integral gives the wrong test, since
which is not zero. In the same way , so the normalized eigenfunctions are .
Simple real eigenvalues
Definition For a regular Sturm-Liouville problem the following statements hold.
- Every eigenvalue is real, and its eigenfunctions can be taken real-valued.
- Every eigenvalue is simple, which means that all of its eigenfunctions are multiples of one of them, so each eigenspace has dimension .
- The eigenvalues form an infinite increasing sequence with . There is a smallest eigenvalue, but it need not be positive.
The first two statements follow from the structure above. If with not identically zero, then the complex conjugate satisfies the same real boundary conditions and , because , and are real. The Lagrange identity with and then gives
and the integral is positive, so is real. The real and imaginary parts of then solve the same problem, and at least one of them is not identically zero. For simplicity, the condition at forces the pair of every eigenfunction to be a multiple of . Two eigenfunctions for the same therefore have proportional initial data at , and uniqueness for the initial-value problem makes them proportional on all of . The third statement is a deeper part of the same theorem.
In plain words In a regular problem each eigenvalue is a real number and comes with exactly one shape, up to scale. The list of eigenvalues starts somewhere and climbs without bound, and the positivity of and alone does not say where it starts.
Example The exponential-weight problem has the simple real eigenvalues , increasing to infinity, each with the single eigenfunction up to scale. The shifted problem with Dirichlet conditions on has the eigenvalues , namely , so its smallest eigenvalue is negative. Periodic conditions show why the separated hypothesis matters. For on with periodic conditions all the coefficient hypotheses hold, yet has the two independent eigenfunctions and .
Check yourself
- Decide which of the following pairs of conditions on are separated. The first pair is and , the second is and , and the third is and .
Show the answer
Only the first pair is separated. It reads and , so and . The second pair is periodic, and both of its conditions couple the two ends. In the third pair the condition involves one end only, but couples both ends, so the pair is not separated.
- A classmate argues that every eigenvalue of with is positive, because and are positive. Check the claim, and name a hypothesis on that does guarantee positive eigenvalues under Dirichlet conditions.
Show the answer
The equation is with Dirichlet conditions, so and the eigenvalues are , namely , , and so on. The claim is false, since gives . Positive and do not control the sign of the eigenvalues. A sufficient hypothesis is on . Multiplying by a real eigenfunction and integrating by parts gives
because the boundary term vanishes when . The right side is positive, since cannot vanish identically for a nonzero with , so .
- Put on into self-adjoint form and check that the problem with is regular. Then find its eigenvalues and eigenfunctions, and verify that the first two eigenfunctions are orthogonal with the correct weight.
Show the answer
Here and , so . Multiplying the equation by gives , that is,
with , and . On the function is smooth with , the weight satisfies , and the conditions are Dirichlet, so the problem is regular. With the derivative satisfies , so , and the problem becomes on with zero end values. Hence
For the weighted test, substitute and ,
Without the weight the integral is about , so the unweighted test would wrongly report that these eigenfunctions are not orthogonal.