Expand the solution and the forcing in the orthonormal Sturm-Liouville eigenfunction expansion. The forcing coefficients are
Every is nonzero, so the solution coefficient is . Thus
As an independent check, solving directly with the two endpoint conditions gives
It satisfies both Dirichlet boundary conditions and the forced ordinary differential equation.
Write the endpoint condition in its linear Robin boundary condition form . For a positive eigenvalue , the left Dirichlet boundary condition gives , and the right condition gives
For each positive root , the squared norm is
Consequently the sine coefficients in any complete expansion are
When , these are all modes and the Sturm-Liouville eigenfunction expansion gives exactly the stated sine series, with the usual convergence interpretation. Positivity of all eigenvalues follows from integration by parts and the Cauchy-Schwarz inequality:
for a nonzero admissible , since .
However, the original PDF states only , and with that range its sine-only completeness claim is false. The missing modes are as follows. At , admits , so the correct expansion is
For , a negative eigenvalue admits , with
There is exactly one positive root: decreases strictly from to zero. For example, its derivative has the sign of , because . Thus the corrected expansion is
These are the nonpositive modes in a Dirichlet-Robin interval expansion. As an explicit counterexample to the printed claim, at take : it satisfies both boundary conditions, and each positive root obeys
because . Thus all vanish despite . Likewise is a counterexample for , by orthogonality of Sturm-Liouville eigenfunctions with distinct eigenvalues. The formulas above give the full solution without silently assuming away the omitted modes.
Apply separation of variables with and temporal factor . The spatial eigenvalue equation is
The nontrivial solutions of these Dirichlet boundary conditions are sine eigenfunctions. Normalizing in the usual inner product on gives
with . The superposition principle and the Fourier sine series then give
The constants are the initial-data coefficients . Here physical diffusion means .
For the upper Apollonius circle, let its constant ratio be . Matching the center and radius from part (i) gives
Subtracting their squares yields . Also
The relevant inverse hyperbolic cosine is positive. Now is the real part of a local holomorphic logarithm, hence a harmonic function away from . The point is inside the excluded disk, because , while is below the real axis. Thus neither singularity lies in the physical domain.
On the numerator and denominator have equal modulus, so the logarithm is zero. On the circular boundary its value is . Therefore the harmonic potential between a grounded line and a circular boundary is
This verifies Laplace's equation and both prescribed Dirichlet boundary conditions. It also tends to zero at infinity. A uniqueness assertion on this unbounded domain would require an additional boundedness or infinity condition; the displayed function is the natural decaying solution requested.
For the harmonic extension in a circular sector, write a separated harmonic function as . The Laplace equation in polar coordinates yields
The angular Dirichlet boundary conditions select the Fourier sine basis
Indeed, the angular equation has no nonzero solution with nonpositive : multiplying by and integrating gives . The radial Cauchy-Euler equation has solutions and . Boundedness at the vertex excludes the latter, so superposition gives
Reflecting the solution across preserves its Dirichlet boundary conditions and outer boundary data, so uniqueness makes the solution reflection-symmetric. Since
only odd angular Fourier modes survive. Put and . On the symmetry axis , comparison of the convergent power series gives
Thus
This is the imaginary part of , so a useful closed form is
At either straight edge , while on the symmetry axis the formula is . Every term is harmonic in the sector, and the factorial denominator gives convergence up to , verifying the full solution.
For separation of variables, take and divide the reaction-diffusion equation by this product wherever it is nonzero:
Each spatial term depends on a different variable and must be constant. Write and similarly for the other two factors. The Dirichlet boundary conditions give . A zero separation constant permits only a linear function and hence the zero solution; a positive value of likewise permits no nonzero function vanishing at both endpoints. The nontrivial choices are therefore
The temporal ordinary differential equation is
so, absorbing its constant multiplier into ,
The superposition principle and completeness of the Fourier sine series give the stated threefold expansion with these factors. For an initial density , orthogonality also determines the constants:
The fastest temporal growth occurs for the lowest spatial eigenvalue, with . Its growth rate is
For a generic initial condition its coefficient is nonzero, so this term determines the long-time behavior. In fact, every nonzero, nonnegative initial density has , since the product of the three first sine eigenfunctions is strictly positive in the interior. Consequently
For every term decays. At equality the first term is stationary and all higher terms decay: equality does not produce exponential growth. This is a reaction-diffusion equation threshold arising from competition between production and loss through the Dirichlet boundary condition.
The separation of variables solution with Dirichlet boundary conditions on the cuboid is
The constants are fixed by the initial density through Fourier sine series. The fastest term again has . When , its growth rate becomes
Thus the precise condition for no exponentially growing term is
For example, gives , while gives : either a sufficiently flat or a sufficiently elongated cuboid suppresses growth despite its unchanged volume. The function decreases to its minimum at , then increases without bound. Hence there are two positive threshold values, with growth only between them; equality leaves one stationary term and all other terms decaying.
The homogeneous linear differential equation can be written in divergence form:
One integration gives . Therefore the two cases are
In each case the displayed functions have linear independence throughout the interval. Imposing both homogeneous Dirichlet boundary conditions forces : for , , and for , . This also establishes uniqueness for the inhomogeneous boundary value problem.
Multiplication by gives the Sturm-Liouville form
so the weight is . Use the weighted inner product and the Sturm-Liouville operator . Integration by parts gives its boundary form:
The upper endpoint term vanishes by the Dirichlet boundary conditions, and the lower one vanishes for the regular solutions. More precisely, the radial Dirichlet spectrum in three dimensions identifies under the unitary transformation with on with zero endpoint values; this specifies the self-adjoint realization at the singular endpoint as well as proving the formal identity.
For eigenfunctions with different eigenvalues, the same identity gives . Taking real eigenfunctions proves the required orthogonality of Sturm-Liouville eigenfunctions.
The Lax-Milgram theorem states that a bounded bilinear form on a real Hilbert space , satisfying for some , has for each a unique with for all . Moreover .
For a compact operator on a Hilbert space, the Fredholm alternative says that has closed range, finite-dimensional kernel and cokernel of equal dimension, and
Thus a zero kernel gives unique solvability for every right-hand side; a nonzero kernel gives solvability exactly under the adjoint orthogonality conditions, and then all solutions differ by a kernel vector.
Take . Gårding's inequality supplies constants , with . Therefore for the shifted form is coercive. It is bounded for every fixed , and is bounded on . Lax-Milgram gives unique weak solvability for , with . The inequality itself follows, for example, by absorbing the drift cross-term using Young's inequality and allowing a lower correction for .
For the compact inverse and adjoint of a coercive elliptic operator, under the additional zero-shift coercivity assumption, define by for all , and let be this solution viewed in . The solution operator is linear and bounded into , and the Rellich-Kondrachov compact embedding makes compact. Rewriting the weak equation as gives
Conversely an solution of this operator equation lies in , because it equals , and satisfies the weak differential equation.
For constant drift coefficients and zero Dirichlet traces, integration by parts gives . Symmetry of the principal coefficients therefore makes the unshifted weak form of the displayed formal adjoint. The shifted adjoint equation requires
The spectral shift in an adjoint weak formulation is essential: the printed sentence omitting it is false for nonzero . For instance take a smooth ball, , any nonzero and . The printed unshifted identity holds, but whenever . This counterexample also meets zero-shift coercivity and constant-drift assumptions. The corrected identity above is used for the remainder of the argument.
Let solve , which exists by Lax-Milgram because the diagonal coercivity is unchanged. For ,
Thus , viewed as an operator, is exactly . Applying this inverse to the corrected shifted adjoint equation gives
and the converse follows from its range lying in , just as before.
Finally let the original homogeneous equation have a nonzero solution. Its parameter is nonzero, since the unshifted problem is coercive. Fredholm gives solvability precisely when for every . Such a satisfies , so . Hence the necessary and sufficient condition is
When this holds, the solutions are an affine translate of the original finite-dimensional homogeneous solution space. The compatibility space is the adjoint kernel; a drift term does not generally permit replacing it by the original kernel.
A weak solution belongs to and satisfies
with the nonlinear right-hand side defining a bounded functional on . Under the stated global Lipschitz hypothesis this requirement is automatic: and boundedness of give whenever . Continuity of alone, without growth control, would not guarantee this for an arbitrary Sobolev function.
For the semilinear Poisson contraction threshold, use the gradient norm on , and let satisfy the Poincaré inequality . For , Lax-Milgram gives the zero-Dirichlet Poisson solution . Testing with yields . Define , a self-map of the complete space . For ,
Therefore is a sufficient condition for Banach's theorem to give a unique fixed point and hence a unique weak solution. There is no need to assume or to restrict to a small ball: the Lipschitz bound makes the map defined on all of . The same estimates give
With the optimal Poincaré constant, the threshold is for the First Dirichlet eigenvalue; the stated sufficient condition does not depend on knowing that optimal constant.
For nonnegative initial data, . The proved Crank-Nicolson maximum principle under a step restriction immediately gives for all indices. For nonpositive initial data, and the same bound gives . Equivalently, apply positivity to , since the finite difference method is linear and has homogeneous Dirichlet boundary conditions. Both conclusions use .
Let and , and define the scaled forward difference operator, backward difference operator and second-order central difference by
The two finite difference methods are the nonlinear systems
with the prescribed Dirichlet boundary conditions and . These equations determine the interior nodal values.
For clarity distinguish the interior and edge inner products and their norms:
The bracketed norm includes the last edge . Let , so , and put for . Direct telescoping gives discrete summation by parts:
Subtract the two nonlinear systems, multiply each equation by and sum. The resulting discrete energy identity is
The nonlinear summands are nonnegative by the factorization in (a). Using Young's inequality for products at every node gives
This also proves uniqueness of each discrete solution. Existence can be seen by minimizing, with the endpoints fixed, the strictly convex energy functional
It is a coercive function of its finitely many interior values, so it attains a minimum. Its first derivatives are ; thus its minimizer solves the scheme. The same argument applies to .
Use for the sampled exact solution, and let . The Dirichlet boundary conditions imply . The definition of the truncation error gives the exact discrete equation
Subtracting it from the numerical equation therefore gives
The sign on the right is positive because was defined as the difference approximation minus the exact second derivative. Multiply by , sum over the interior nodes and apply discrete summation by parts:
Again . By Young's inequality for products, . Hence
No fourth derivative is needed for this step: the assumed twice continuous differentiability suffices to define and obtain the discrete energy estimate.
For , direct differentiation yields
Since the planar Laplacian is , the required eigenvalue of is
On the sides the first sine factor vanishes, and on the second sine factor vanishes. Thus the homogeneous Dirichlet boundary condition holds on the whole boundary. The eigenfunction is nonzero, for instance at , where its value is one.
The five-point Laplacian on the square grid is
It adds the second-order central differences in the two coordinate directions and uses the given zero Dirichlet boundary conditions when a neighbouring node lies on the boundary.
The sine addition formula implies
Apply this identity with in the direction and with in the direction. For , it gives
Hence the discrete eigenvalues are
Both sine factors vanish on their respective boundary sides. Also , since and lie strictly between zero and . Thus each array is a nonzero discrete eigenvector, rather than merely the zero solution of the homogeneous system. The separated structure is also described by the five-point Dirichlet Laplacian as a Kronecker sum.
The interior time-independent Schrödinger equation for a free particle is
Confinement by the rectangular infinite well imposes Dirichlet boundary conditions: at and . The wave function is square-integrable and may be normalized to unit probability on the rectangle.
Separation of variables gives products of the one-dimensional well states,
The Hamiltonian is the sum of the independent and kinetic-energy operators, so the one-dimensional energies add. Put . Then
For , increasing gives . The smallest energy with is also , attained at ; all give larger energies. Thus the ground and first three distinct excited energy levels are
The largest listed energy therefore has energy-level degeneracy , since the two product eigenfunctions are linearly independent and no other pair solves .
Use the Fourier transform convention , initially in a class where the integral transforms and subsequent limits are defined. Transforming Laplace's equation gives on real . Decay for selects
The boundary trace is the sum of its negative-half-line unknown and the given positive-half-line datum. The normal derivative is zero on the negative side. Therefore
For the convention, negative support gives a integral transform analytic for , and positive support gives one analytic for , subject to the appropriate endpoint interpretation. The normal trace in this particular problem requires a finite-part interpretation, detailed below.
For the Wiener-Hopf method, regularize the real-axis kernel by
Take the branch cut of vertically downward from and that of vertically upward from . Their product on the real axis is the positive square root . The branch of has its cut downward from zero. Dividing the regularized equation by gives
The forcing is analytic in , between its two cuts. Decompose by Cauchy integrals on two horizontal lines within that strip. Separation gives
when the endpoint growth class makes the common entire remainder bounded. For one can take the minus Cauchy integral on , with , obtaining
The integrand is at infinity, so the Cauchy integral converges there. In the limit choose , for example ; a fixed positive cannot remain between zero and . With denoting the limiting lower-analytic branch and with the prescribed limiting interpretation,
The numerator square root has a cut going upward from ; the power has a cut going downward from zero. The contour passes between them. The pole is below this contour when is in the lower integral transform domain. These branch choices are essential, rather than independent principal powers of the factors.
Figure 1.
The Wiener-Hopf contour lies between the upward square-root cut and the downward quarter-power cut
. Details.
There is an important mathematical limitation in the source's ordinary integral definition of . An explicit harmonic function particular solution in polar coordinates is
Each separated polar power is harmonic function; at it has the required Dirichlet boundary condition value, and at its angular derivative vanishes, giving the required zero normal derivative. It also decays at infinity. Its unknown boundary traces are
The last function is not locally integrable at zero. Therefore the printed ordinary integral diverges, even for . The integral transform calculation is valid for this solution only after specifying a Hadamard finite-part integral, or equivalently a distribution boundary trace.
For the canonical homogeneous extension of this power, the two transformed traces are
The first is analytic below and the second above. The second formula follows from and the finite-part continuation of the Laplace transform. Substituting their real-axis boundary values directly verifies the boxed integral transform relation for both signs of , so the qualification can be checked without relying only on formal factorization.
There is also homogeneous corner freedom:
satisfies zero Dirichlet boundary condition data on the positive axis, zero Neumann boundary condition data on the negative axis and decay at infinity. Its negative trace has integral transform , corresponding to the term . Higher singular modes would also satisfy the homogeneous boundary conditions for integers , but are excluded if the negative trace is required to be locally integrable. Thus the one-constant formula belongs to a specified corner-growth class. The original boundary conditions alone, without that class, do not assert uniqueness. These facts form the finite-part normal trace for mixed quarter-power boundary data.