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The method of continuity on a constant-coefficient one-dimensional path
Example
Assume Countable Choice and fix . Let , , and, for and , . Then every is a bounded operator , is bijective, and the bijectivity set is : for the eigenfunction expansion converges absolutely and uniformly together with its first derivative, defines an element of with and obeys the uniform bound , while at the kernel is spanned by and the range is the proper closed subspace . In this model one computes directly that is open in , that is relatively closed on every subinterval on which all the operators are injective, and that the uniform estimate fails on every interval that meets the spectrum.
Facts & Assumptions
Given: Countable Choice, , , , the spaces and , and .
The only choice assumption is Countable Choice ; all series and subsequences below are countable and no further selection is made. (The Axiom of Countable Choice ())
The norms on and are the usual ones: and with . (Hölder spaces , closure and interior scaled norms, and domains)
The functions , , satisfy , , and ; these are the classical eigenpairs of with Dirichlet conditions on . For the odd -periodic extension , translation by gives : away from endpoint jumps use Hölder continuity, and the jump-crossing strips have length . With , the exponential Fourier coefficient identity gives . The sine coefficients of an satisfy , and Dini pointwise convergence criterion for Fourier series, after rescaling to period one, gives for every (the local Dini integral is bounded by ). The convergence follows separately from Fourier series converge in mean square applied to the odd extension. (Hölder spaces , closure and interior scaled norms, and domains)
If then lies in , vanishes at and , satisfies , and obeys with for ; this is the explicit Dirichlet solution of the one-dimensional Poisson problem, obtained by differentiating twice under the integral sign.
Uniform derivative limits: if is for every , converges at one point, and uniformly, then uniformly for a differentiable with ; applied twice it gives: if uniformly, uniformly and uniformly, then with those derivatives. (If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit)
The abstract method-of-continuity theorem assumes a uniform a priori estimate and Countable Choice (The method of continuity for a uniformly estimated affine family of bounded operators).
The global Schauder solvability theorem is the PDE-level version of the continuity argument (Global Schauder estimate and classical Dirichlet solvability by the continuity method).
Classical derivatives agree with distributional derivatives under the assumed Countable Choice; distributional differentiation is continuous in the distribution topology (Distributional derivative, Distributional differentiation is continuous and commutes).
On the bounded interval, convergence implies local convergence by Cauchy--Schwarz, and locally convergence gives convergence of the associated regular distributions (Locally integrable functions embed in distributions).
A distribution on the connected interval whose derivative vanishes is a constant regular distribution; this result uses Countable Choice for the regular-distribution convention (A distribution with zero derivatives on a connected open set is constant).
Verification
The operators and the base point. For one has , so maps boundedly into for every . For , : if with then is affine and vanishes at both endpoints, so (injectivity); and for every the explicit function of [F3] satisfies , vanishes at the endpoints, and obeys , so (surjectivity). Hence is bijective.
The eigenvalue picture. By [F2], . For any , two integrations by parts, using at both endpoints, give . If , all sine coefficients of vanish when is not a square; if , all except the th vanish. Since , the Fourier identity in [F2] then gives in the first case and in the second. Thus is injective exactly off the displayed spectrum, and its kernel at a spectral parameter is exactly .
The Fourier solution away from resonance, including the coercive range. Fix . If , assume and set ; for every set . In the non-resonant case this defines every . In either case , because the ratios tend to and none of the finitely many remaining ratios is zero. Put . The coefficient bound in [F2] gives and . Thus only the series for and are asserted to converge absolutely and uniformly; [F4] gives a limit with zero endpoint values. For one has , giving the stated coercive-range bound. To see , write . For , split at : the low-frequency part is at most , and the high-frequency part is at most . For , the supremum bound gives the same control. Hence .
Identify the equation and upgrade regularity. Put . At a resonance the omitted coefficient is zero by hypothesis, so for every sufficiently large the partial-sum identity is still . By [F2], in , while uniformly; hence in . Since also in , continuity of distributional differentiation and the regular-function embedding in [F7--F8] show distributionally on . The function is continuous. Set ; then the distributional derivative of the continuous function is zero. By [F9], is a constant distribution, hence equals that constant pointwise; therefore (with one-sided endpoint derivatives) and . Since by step 1.3 and , , so and .
The range at a spectral parameter. If , integration by parts as in step 1.2 gives for every , so the range lies in the proper closed hyperplane . Conversely, for any in that hyperplane, steps 1.3 and 2.1 construct with ; thus this hyperplane is exactly the range. Moreover, the inverse norm of on its bijective parameters blows up near : for , testing on gives and hence as .
Estimate in the coercive range. For , in step 1.3, so the sup and Hölder bounds there control and by . From step 2.1, , hence . Thus . Uniqueness follows from step 1.2; in particular is bijective for every non-spectral parameter, while this is the stated quantitative estimate on the coercive range.
The two continuity properties of the bijectivity set. By steps 1.2 and 2.1, is exactly the bijectivity set. Its complement is finite, so is open in . Every subinterval on which all are injective contains no spectral parameter by step 1.2, hence is relatively closed in . These are the two properties inspected in the abstract method of continuity [F5]. At a spectral parameter the inverse norms on neighboring bijective parameters blow up as in step 3.1, so no a priori estimate uniform across that parameter can hold.
Conclusion. The model family on is bounded for every , has the bijective base point , and has bijectivity set . For the eigenfunction expansion gives the inverse bound ; at the kernel is and the range is the closed hyperplane orthogonal to it. Openness and the relative-closedness property hold by direct inspection of the finite exceptional set. This one-dimensional example illustrates the abstract method of continuity [F5] and its PDE-level application [F6].
Remarks
- The example isolates the two ingredients of the method of continuity: a uniform inverse bound holds on compact parameter sets a positive distance from the spectrum; an open interval can avoid resonance while approaching it, in which case the inverse norm still diverges, and the base point is bijective. The exceptional parameters are the zeros of , where the inverse norm blows up like .
- The coefficient decay is the only analytic input; it is exactly what makes and the splitting estimate for the H"older seminorm of converge, and this absolute-summability argument does not apply at . For continuous forcing off resonance, direct integration of the ODE is an alternative route.
Depends on
- The method of continuity for a uniformly estimated affine family of bounded operators
- Global Schauder estimate and classical Dirichlet solvability by the continuity method
- Hölder spaces $C^{k,\alpha}$, closure and interior scaled norms, and $C^{k,\alpha}$ domains
- If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Distributional derivative
- Locally integrable functions embed in distributions
- Distributional differentiation is continuous and commutes
- A distribution with zero derivatives on a connected open set is constant
- Dini pointwise convergence criterion for Fourier series
- Fourier series converge in mean square
Used by
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Sources
- John Villavert, Elementary Theory and Methods for Elliptic Partial Differential Equations (2017; complete 220-page lecture notes) (standard reference, not scraped)
- Armin Schikorra, Partial Differential Equations I & II (version October 1, 2025; complete 281-page graduate lecture notes) (standard reference, not scraped)
- Leon Simon, Lectures on Partial Differential Equations (Stanford University; complete 118-page author notes, Chapter 12 Schauder Theory) (standard reference, not scraped)