For the Airy equation, let . Its local relation follows by arranging the flux so that the unwanted spatial derivatives cancel:ConsequentlyThus the dispersion relation and the required flux are given byThe calculation is polynomial in the complex spectral parameter, so the local relation holds for every .
Use negative-exponential spatial Fourier transforms and finite-time spectral boundary transforms:Write and . Integrate the local relation first over and then over time. The left and right endpoint fluxes have opposite signs, giving the finite-interval Airy global relationAll these spatial and temporal integral transforms are entire functions of for sufficiently smooth data on the finite intervals. Put and , . The dispersion relation obeys ; hence the same global relation holds at all three . In particular, the missing traces satisfy the concrete linear systemwhere, with a common upper time limit ,The finite-time spectral boundary transforms are invariant under these rotations because their time kernel depends only on . The coefficients multiplying them are not invariant; these differences make the three equations useful for eliminating the missing boundary traces.
LetThe upper domain is the sector ; the lower domain consists of the sectors and . Orient their boundaries with the corresponding domain to the left. For and , the Fokas method gives the integral representationHere are the combinations of all six finite-time spectral boundary transforms defined above. Initially, Fourier inversion of the global relation gives the first integral together with and . For the left endpoint, deform through the upper complementary sectors, where the spatial exponential decays andis bounded. This replaces the real line by . For the right endpoint, deform in the lower half-plane; the real portions of run from right to left. Thus its integral is the negative of the real-line integral, explaining the minus sign in the last displayed term. The arc contributions vanish by spatial exponential decay and integration by parts in the transforms. Oscillatory real-line integrals can equivalently be defined by a decaying cutoff and its limit.
Finally use the finite-horizon extension of a boundary transform. The difference between upper limits and contains , bounded in , while the appropriate spatial factor decays inside or . The Cauchy integral theorem makes this difference vanish. Keeping also avoids an artificial endpoint half-value in temporal inversion. The integral representation at this stage deliberately includes the unknown traces; the rotated global relations eliminate them in the next step.
The rotated global relations form a square system for the three missing boundary traces. Solve this system and substitute the resulting finite-time spectral boundary transforms into the integral representation. The pieces containing have zero contour contribution by analyticity, rotation of the relevant sectors and the Cauchy integral theorem. The remaining expression involves only . The finite-interval Airy spectral determinant has no nonremovable zeros in the contour domains, as established below, so this elimination introduces no extra spectral data there. Differentiating the representation, and using temporal inversion and compatibility at the corners, verifies the partial differential equation, initial value and the three prescribed boundary values.
For a direct Hadamard well-posedness check, the homogeneous difference satisfiesThis proves uniqueness and continuous dependence for homogeneous boundary data. More generally subtract a smooth quadratic boundary lift satisfying the three prescribed endpoint conditions. The remaining problem has homogeneous boundary conditions and forcing . Its semigroup generator is on with . It is a dissipative operator; for every real the equation has a unique solution, since the homogeneous third-order boundary system is injective by the same energy identity and therefore invertible. Thus is maximal dissipative and generates a contraction semigroup. This gives existence and continuous dependence on the lifted data and forcing. Smooth compatible data therefore define a well-posed problem. This operator argument and the spectral elimination describe the same evolution.
Expanding the matrix determinant from part (b) givesThe finite-interval Airy spectral determinant obeys . At the origin,This zero comes from coalescence of the three rotated equations; it is removable in the underlying boundary system. Indeed, with has only the zero quadratic solution.
For , a zero of is equivalent to the existence of a nonzero combination satisfying the homogeneous endpoint conditions. This can be checked by expanding the determinant of those three endpoint equations. Such a function satisfies , so it is an eigenfunction of with eigenvalue . Integration by parts yieldsso every nonzero zero has . None lies on the boundary : by a cube-root rotation it suffices to take real. With , the determinant equation becomesThe right-hand side has squared modulus for , whereas the left-hand side has modulus one. Therefore there are no nonremovable spectral poles in , and the contour representation has no discrete residue contribution from that domain.
Taken literally as a claim about the operator's discrete spectrum, however, the printed assertion is false. To see this constructively, put , . ThenThus zeros occur whenBetween successive positive cosine maxima and adjacent negative minima the difference changes sign. There are consequently infinitely many positive roots, producing genuine negative eigenvalues of . The third-order resolvent maps into , whose inclusion into is compact, so these are indeed discrete spectrum of an operator with compact resolvent. The valid conclusion is absence of poles in the reconstruction sectors, not absence of operator eigenvalues.
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