Use the unweighted inner product . Two applications of integration by parts give
The given boundary conditions set at both ends, but leave and independently variable. The remaining boundary term vanishes for every admissible precisely when . Consequently the formal adjoint and the boundary conditions specifying the adjoint operator are
The characteristic equation of the linear ordinary differential equation is , with roots . A real pair of homogeneous solutions is therefore
Their Wronskian, with the convention , is
Thus the two functions are linearly independent throughout the interval and span its homogeneous solutions.
The common value in the overlap region is . The additive composite expansion therefore gives
This leading approximation has and ; the left endpoint error is exponentially small. It rises from near one following the outer solution , approaches a value close to , then drops rapidly to zero in the right boundary layer. Its first derivative is
For small the largest value lies slightly inside the interval. For this additive composite expansion, the first derivative vanishes at
This locates the rounded top of the sketch; the rapid final drop has the scale found above. The additive composite expansion is a leading approximation, so its exponentially small endpoint error does not imply an exponentially small error throughout the interval: neglected algebraic corrections to the outer expansion and inner expansion remain.
Figure 1.
Leading composite approximation with a boundary layer at the right endpoint
. Original sketches for and . The dashed curve is the outer solution ; the inset plots the leading inner expansion against . Details.
The reduced equation and the left boundary condition give the leading outer solution
Introduce the right inner variable and write . The chain rule gives and . Multiplying the rescaled differential equation by gives the exact equation
At leading order, , with general solution . The right boundary condition gives . The asymptotic matching condition in the overlap region gives
Thus and , yielding the leading inner expansion
Equivalently, the inner variable gives . Both normalizations describe the same boundary layer.
Setting gives the reduced first-order linear differential equation . Its nonzero solutions cannot satisfy the zero value at , so one endpoint needs a boundary layer. To determine which endpoint, freeze the coefficient at in the rapidly varying part: has fast mode . It decays into the interval from the right endpoint but grows into the interval from the left endpoint. Hence
The dominant balance gives , so a convenient local thickness is . The left boundary condition must select the outer solution. Equivalently, a putative left inner variable would give , whose nonconstant solution grows like and cannot satisfy the asymptotic matching condition as .
Putting both data at zero makes this an initial value problem. The uniqueness theorem for ordinary differential equations applies, and one can also prove uniqueness directly: the difference of two solutions is a homogeneous solution whose value and first derivative at zero are both zero, forcing . In fact, for every prescribed continuous function ,
satisfies both initial data and . Consequently non-uniqueness is impossible for every , including . In this setting the kernel is trivial. The boundary conditions at a single endpoint do not give the same self-adjoint operator domain as the two separated Dirichlet boundary conditions, so the earlier exceptional lengths do not apply.
At , the Fredholm solvability condition is
by orthogonality of the Fourier sine basis. Thus a non-unique solution exists exactly when , with any real . Since , the complete family is
If there is no solution, for any . In particular, when , the family reduces to the kernel ; it is still non-unique. There is no choice of producing a unique solution for this length.
Expand in the Fourier sine basis, using unnormalized eigenfunctions:
Projection of onto each eigenfunction gives
When , every eigenvalue is nonzero and the eigenfunction expansion is uniquely determined:
When , the exceptional index is , for which the eigenfunction is . If , its coefficient equation is , an inconsistency: there is no solution. If , the coefficient equation is , and is arbitrary. The full family is
This is the Fredholm alternative directly in the coefficient equations: nonzero eigenvalues fix their coefficients; a zero eigenvalue requires zero forcing in that direction and leaves the corresponding coefficient free. An inconsistent equation at a zero eigenvalue cannot be repaired by assigning an infinite coefficient.
For convergence, Lipschitz continuity implies absolute continuity of , with bounded derivative almost everywhere. One integration by parts gives ; since the denominators grow quadratically, apart from the single free coefficient. The solution series and its first derivative therefore converge uniformly. The second derivative converges in , and the resulting Sobolev space solution satisfies . As is a continuous function, this is a classical solution, with both boundary conditions satisfied. The forcing's Fourier sine series is interpreted on the open interval or in ; its endpoint values need not equal the endpoint values of .
For , use variation of parameters with the homogeneous solutions , whose Wronskian is one. Write and impose . The differential equation gives , hence
After integrating from zero and using the left boundary condition,
The right boundary condition determines
so the unique solution is
Combining the two integrals gives , with Green's function
It is symmetric in , as expected from self-adjointness, and has zero endpoint values. At it is continuous, while its first derivative obeys the jump condition
Thus , with the positive normalization of the Dirac delta function required for .
The homogeneous solution is . The left boundary condition removes , and the right boundary condition gives . Thus the kernel of a linear map associated with this boundary value problem is
The Fredholm alternative now gives the complete classification:
For necessity at , multiply by the homogeneous solution and use the Lagrange identity for a Sturm-Liouville operator to obtain . For sufficiency, the particular solution
satisfies and . At the other endpoint,
which is zero under the compatibility condition. All solutions are then , with arbitrary. The assumed Lipschitz continuity of in particular makes continuous, so the displayed integral defines a classical solution. The length is excluded: it would not define a nonempty interval for this boundary value problem.
Take and use the inner product on the Hilbert space . The differential operator has domain
where is a Sobolev space. Twice applying integration by parts gives the Lagrange identity for a Sturm-Liouville operator
The Dirichlet boundary conditions make this expression zero for , and the formal adjoint is . To obtain the domain of the adjoint operator, initially impose the boundary conditions only on . The remaining expression is . Since and vary independently, it vanishes for all such exactly when . The adjoint domain is therefore the original domain: this is full self-adjointness, including the boundary conditions.
Consequently the eigenvalues are real, eigenfunctions for distinct eigenvalues are orthogonal, and regular Sturm-Liouville theory supplies a complete orthonormal eigenbasis. Here these objects can be exhibited explicitly:
Indeed , and the Fourier sine basis is complete in . There are no additional eigenvalues: for a nonzero eigenfunction , integration by parts gives
so and the endpoint values force . All these eigenvalues are simple. The eigenvectors are precisely the nonzero multiples of these eigenfunctions, regarded as vectors in the Hilbert space.
Choose the real leading eigenfunction , keeping its amplitude fixed. At first order in the regular perturbation expansion, the equation becomes
The operator with these homogeneous Dirichlet boundary conditions is self-adjoint, as allowed in the question, and its null space is spanned by . The Fredholm solvability condition requires the forcing to be orthogonal to that null space:
The same condition follows directly by integrating by parts: the endpoint term vanishes, and . Since a nonzero real has a positive squared integral,
This is the requested expression and is an instance of the leading nonlinear eigenvalue shift in a Sturm-Liouville problem. In the amplitude convention above, and , so . For the particular choice , it is .
The amplitude dependence of a nonlinear eigenvalue correction follows here from the quadratic term: rescaling the eigenfunction changes the eigenvalue shift. There is no single numerical correction independent of the chosen leading amplitude. Once the solvability condition is met, is determined up to addition of a multiple of ; a normalization such as can fix that remaining freedom.
For a positive eigenvalue write . The general solution of the limiting constant-coefficient differential equation is . The endpoint at zero gives . A nonzero eigenfunction then requires , and the endpoint at gives . Consequently
For real eigenfunctions the constants may be any nonzero real amplitudes. Requiring unit L2 norm would set , but that normalization is not required by the question. The lowest eigenvalue is and its eigenspace is spanned by . For completeness, zero yields only an affine solution annihilated by both endpoints, and negative eigenvalues yield hyperbolic functions whose two zero endpoint values also force the zero solution.
For every real and integer , gives
This estimate covers both even and odd , without any assumption on the sign of . Since , the energy estimate from part (i) becomes
Equivalently, an integrating factor gives
The bracket is nonnegative and starts at zero, so it vanishes identically. This is also the zero-data case of the Gronwall inequality. The vanishing L2 norm and continuity of imply
Define the squared L2 norm . Multiplication of the semilinear partial differential equation by , followed by integration by parts, gives
At the Dirichlet boundary condition makes the boundary term zero. At the Robin boundary condition is , so subtraction of the lower endpoint gives . In particular the sign is dissipative. Thus the exact energy identity is
which implies
The parabolic boundary values are zero. An exact solution satisfies the preceding differential inequality, so its maximum estimate with gives . The function satisfies the same equation because both the linear differential operator and the cubic term change sign. Applying the same maximum principle to gives . Hence the complete solution set is
Substitution verifies existence, and the two inequalities prove uniqueness among the assumed smooth solutions for every continuous choice of the drift coefficients.
With zero drift, choose the smooth function
It equals on the entire parabolic boundary, so . On the closed cylinder, , while
Consequently
Nevertheless the maximum at is
The negative cubic term permits an interior increase while the boundary stays fixed, explaining why the sign condition in the preceding part matters.
Let on the unit disk over . Smoothness is understood to include continuity on the closed cylinder. If exceeded its nonnegative parabolic boundary maximum , it would attain a positive global maximum at some spatial interior point at time . There,
At the last inequality uses the derivative from the past; at an interior time it is equality. These signs imply , contradicting the given differential inequality. Thus
If , equality at any point of gives the same contradiction with , so throughout . If , equality is possible: is an example. More precisely, write the inequality as with . The strong parabolic maximum principle shows that an interior zero at time forces on .
That conclusion need not extend into the future for a subsolution. For , take a spatially constant function which is zero for and equals for . It is smooth, nonincreasing and nonpositive, so , but it becomes negative after .
Use the compatible open semicircles and set . The characteristic curve through has
The condition is essential: at there is finite-time blowup, so the opposite branch cannot be reached from the data. From and ,
Eliminating yields
The ratio inside the cube root is positive precisely on the two data-determined regions
On each point traces to the upper semicircle, and on to the lower semicircle, with . To check the parameter ranges explicitly, for they are , whereas for they are . At the latter lower endpoint the planar projection escapes to infinity. The inverse function theorem and uniqueness for the characteristic ordinary differential equations give a unique smooth solution on each region. Equivalently, each point has the unique foot and parameter .
A direct check is particularly short. For , let . Then , , and
Since , the displayed formula solves the partial differential equation, and gives on both open semicircles. The finite boundary where , away from the axis, is the parabola and corresponds to blowup. Points on cannot be added to a classical continuation of these regions: where they are approached from a data-determined region, the height behaves like a nonzero multiple of , or has incompatible limits at the endpoints. The formula is therefore the complete classical answer for the compatible arcs, while the full-circle problem as printed has no classical solution.
Parametrize the data by . The determinant testing Noncharacteristic Cauchy data is
Thus the open upper and lower semicircles are noncharacteristic, but the entire circle is not a valid noncharacteristic data curve: the determinant vanishes at and .
There is a stronger obstruction at those two points. On , the differential equation forces , and hence . This contradicts the prescribed value at both endpoints. Therefore
The obstruction is already present if the equation is imposed next to the circle and the solution and its first partial derivatives extend continuously to it.
Away from the endpoints, the characteristic projections are radial half-lines:
For , increases with ; for , decreases with . Each projection meets its own open semicircle exactly once and never crosses . The endpoint projections themselves are single stationary points, although their lifted characteristic curves have varying height.

Pinned article: Introduction to the OurBigBook Project

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    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
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