Fourier cosine transform 2026-10-20
For sufficiently regular decaying data, this half-line transform has inverse . To derive it, extend evenly to the real line. Its Fourier transform with negative exponential is , and its odd sine contribution vanishes. The Fourier inversion theorem then gives the stated factor . If the forward transform is instead defined as , the inverse factor is .
With boundary terms at infinity vanishing, two integrations by parts give the cosine transform of as . Thus a homogeneous Neumann boundary condition makes it a multiplier , paralleling the Fourier sine transform with a homogeneous Dirichlet boundary condition.
Fourier sine inversion 2026-10-06
For sufficiently regular integrable functions on a half-line, Fourier sine transform inversion recovers the odd extension at continuity points. A zero endpoint value is required when demanding continuity at the endpoint.
Now and . Define their Fourier sine transforms
First make the elimination from the global relations explicit. Write and . For , set . Apply the relation of part (a) at the two negative real spectral points and . They have the same and opposite . Subtracting cancels the left derivative transform, and gives
Likewise use , which have the same and opposite . Their difference gives
Thus both unknown normal traces have sine transforms determined by the given data. The reciprocal symmetries of the dispersion curve, rather than an arbitrary assumption about an unknown trace, perform the elimination.
Here is a direct way to finish that elimination in the integral representation of part (b). Its full-plane kernel has Fourier representation
and solves . Form the four-image kernel
For , the three reflected source points are outside the quadrant. Their boundary integrals against the solution vanish by Green second identity; spectrally these are superpositions of the same reflected global relations used above. Thus replacing by in part (b) does not change . But vanishes on either boundary, so all terms multiplying unknown normal traces disappear. The remaining inward kernel derivatives reconstruct the value:
Differentiate the displayed spectral kernel and combine positive and negative . The bottom derivative is , and the left derivative is the corresponding expression with interchanged. This derives the quadrant modified Helmholtz Dirichlet Poisson formula, entirely in known data:
It is an integral on the same complex dispersion curve. To display the requested complex -plane contours explicitly, let and as before. On the real ray above , , and . On the imaginary ray above , , and . Consequently
Both contours are oriented outward, and the sine-transform arguments on them are positive real numbers. No unknown boundary transform remains.
Every integrand solves , because . As with , the first term tends to by Fourier sine inversion and the second tends to zero by exponential convergence; the left trace follows symmetrically. Although the two separate contributions may have different corner limits, their sum is continuous at the corner when . For example, the local constant-data corner contributions are the complementary angular harmonic weights, whose sum is one; the mass term is lower order under corner rescaling. Equivalently, subtract a smooth local lifting with the common corner value and use the zero-trace quadrant Green function to obtain a continuous remainder. Decay and uniqueness follow from the positive mass and the weak maximum principle, or from the positive energy identity for a difference with zero boundary data.
A Lévy measure on the real line is a nonnegative Borel measure satisfying
It records the intensity per unit time of jumps of a Lévy process. Under the additional small-jump first-moment condition, the uncompensated Lévy–Khintchine formula is
where and . The integral is absolutely convergent: near zero its integrand has absolute value at most , while outside a neighborhood of zero it is at most and has finite mass. If the usual compensated Lévy–Khintchine formula uses drift , this convention has .
A Lévy process starts at zero and has stationary independent increments and stochastic continuity. Its characteristic function at time is , with and continuous. The given time-one characteristic function is strictly positive. It therefore has the unique continuous logarithm vanishing at zero,
Any other continuous exponent would differ by an integer multiple of ; continuity on the real line and the value at zero make that integer identically zero. This determines all increment laws. More explicitly, for ,
Thus it determines every finite-dimensional distribution. For the standard càdlàg version of a Lévy process, coordinates at rational times determine the path, so these laws determine the entire process law on its canonical path space as well.
To find the Lévy measure, try the symmetric density . Its jump exponent is
Differentiation under the integral is justified by the integrable bound . The elementary Fourier sine transform gives
Since , integration in yields . Choosing matches the prescribed exponent exactly. This is the Lévy measure of a symmetric Laplace time-one law:
The candidate satisfies the Lévy measure condition because its density is of order near zero and decays exponentially at infinity; moreover . Uniqueness of the triplet in the Lévy–Khintchine formula proves that these are the required coefficients. The infinite mass near zero means infinitely many small jumps, not a Gaussian component; their total variation is finite on bounded time intervals because .
Take the negative-exponential Half-range Fourier transform and set
The advection-diffusion equation has the local relation with flux . Integration over the half-line gives the half-line drift global relation
For the upper decay domain
write . It is the region above , in particular above . Its boundary is oriented from upper-left infinity through to upper-right infinity, with the domain on the left. Fourier inversion and deformation of the boundary terms give
Use the dispersion symmetry elimination of a boundary trace . It preserves and maps into the lower half-plane. Because , the global relation at implies
The last term contributes an holomorphic upper-domain integral multiplied by , so it vanishes upon closing the contour for . The solution representation with only known data is consequently
For the boundary value , direct integration gives
This quotient is an entire function of when its apparent singularities at are filled by their limits. Those points are not genuine forcing poles of the finite-time transform.
To obtain an exponentially decaying spectral integrand, choose and the exponential-decay contour for half-line drift diffusion
Deform to . No pole is crossed: the initial-data denominator in that boundary integral has its only pole at , which lies below since . The apparent singularities of the forcing transform are removable. In the swept outer sectors, has the appropriate bounded growth for the deformation. The contour formula becomes
Evaluate the second quotient as a removable expression at , rather than splitting it into artificial residue terms. On either ray,
Since , the transient factors have Gaussian decay as . The nontransient forcing term is and thus also decays exponentially for every . The real-axis integral has the Gaussian factor . These estimates provide the requested improvement over integration along .
Figure 1.
Upper cubic-dispersion contour and exponentially decaying drift-diffusion contour, with their orientations
. Details.
The first panel shows the cubic domain from Question 1. The second uses and ; its marked initial-data pole corresponds to and lies below both boundary contours.
An independent real-kernel form also makes the initial and boundary traces explicit. Apply the Dirichlet gauge transform for constant drift, , and then multiply by to obtain the heat equation. The odd-reflected heat kernel for initial data and its Dirichlet boundary-forcing heat-kernel formula yield
The first kernel tends to the initial delta kernel on as and vanishes at . For the second kernel, the substitution gives the unit-mass approximate boundary delta as , so its trace is ; it vanishes initially for fixed . Differentiating the kernels for verifies the advection-diffusion equation. The integrals converge for every positive , even when the exponentially weighted initial datum grows, because the spatial Gaussian controls that growth. Thus this gives the same decaying solution without introducing an additional restriction on .
For a general decaying initial datum, an unweighted Fourier sine transform does not directly diagonalize the drift operator. Define
Two integrations by parts for and one for give
The cosine transform remains unknown, so this is not a closed sine-transform evolution. In contrast, the weighted sine transform for half-line drift diffusion of is closed:
When the weighted initial transform exists, Fourier sine inversion gives . This method requires suitable decay of , not merely decay of . For the exponential datum it is an ordinary integrable sine transform only when . At one would need a generalized or regularized transform instead; the contour and real-kernel formulas above already work without that restriction. Therefore the ordinary sine transform of is not a closed solution method; a weighted sine transform works under the stated extra weighted-decay condition.
The partial differential equation. Each term in is a translated heat kernel and satisfies for . The same holds for , either by direct differentiation or because it is . For , and its derivatives vanish faster than any power as . Therefore differentiating the boundary convolution creates no extra upper-endpoint term. Gaussian domination justifies differentiating both integrals on compact subsets of , proving the advection-diffusion equation.
The initial condition. For fixed , the first Gaussian in is an approximate identity centered at . Its integral tends to . The reflected Gaussian is exponentially small as , because its center lies outside the half-line. The boundary convolution also tends to zero for . Thus .
The Dirichlet boundary condition. The identity
shows that , so the initial-data contribution vanishes at zero. The boundary contribution must be evaluated as a limit, not by substituting inside its singular integral. The positive kernel satisfies
for every . Hence it is a one-sided approximate identity at zero time, and continuity of gives
The mass formula follows from the Gaussian Laplace integral, or from the decaying solution of the corresponding constant-coefficient ordinary differential equation. Compatibility gives the continuous corner value. These arguments also verify the equivalent contour solution in (iii). In the decaying energy class the solution is unique: the difference of two solutions has zero data and for real solutions, with the analogous modulus identity for complex solutions.
The unheaded sine transform question. The direct classical Fourier sine transform does not close on . If
then integration by parts gives
The drift introduces an unknown cosine transform; the usual scalar sine-transform solution of the heat equation is therefore unavailable directly.
A Dirichlet gauge transform for constant drift does provide a qualified alternative. Set . Then , with and . If these weighted data have the decay needed for an ordinary Fourier sine transform, it solves the transformed problem and produces exactly the kernel above. Mere decay of does not ensure this weighted integrability. Thus not directly by the classical sine transform of ; yes after a gauge transformation when the required weighted-transform hypotheses hold, or after a justified cutoff/limit argument.
The unknown Neumann boundary condition can be removed by the Fokas method. Evaluate the global relation for the half-line free Schrodinger equation at :
Consequently . In the representation from part (a), the last term has integral , by the Cauchy integral theorem and Jordan lemma. It is analytic in the upper half-plane, and the exponential decays on the closing first-quadrant arc. Hence an expression involving only the given data is
One may replace by in the upper limit defining : the contribution of boundary times closes to zero in , since then decays there. Using makes causality transparent.
For an explicit proof of uniform convergence, it is useful to apply boundary lifting before inversion. Set , , , and
The compatibility condition gives . The Fourier sine transform of satisfies , with initial value . The integrating factor therefore gives the equivalent representation
This last integral is absolutely and uniformly convergent for , under concrete sufficient hypotheses , decay of the boundary terms, and . Indeed, two integrations by parts give for . Another integration by parts, this time in , gives
Thus the initial term is uniformly and the forcing term uniformly . For , use and the bounded time integral. An integrable majorant proves the claimed uniform convergence and permits evaluation at both boundaries.
At , Fourier sine inversion gives . At , the integral vanishes, giving , including the compatible corner. To verify the equation, note that and the transformed equation implies
Adding the lifted part gives . Under the stated smoothness, this holds classically in the interior; differentiated spectral integrals can first be Gaussian-regularized, or read in the sine-transform sense and then identified with the smooth solution. Uniform convergence of itself does not require claiming uniform convergence of every differentiated integral at the corner.
Quadrant modified Helmholtz Dirichlet Poisson formula Created 2026-10-14 Updated 2026-10-20
Here and are the Fourier sine transforms of the boundary values. The modified Helmholtz closed spectral one-form and its reflected global relations remove the unknown normal traces. Equivalently, four reflected fundamental solutions give a zero-boundary Green function in the quadrant. Its inward derivatives give the displayed formula. The two terms recover the bottom and left traces respectively; matching corner values ensure continuity at the corner.
For the free Schrodinger equation with compatible smooth initial and boundary data, subtract before taking a Fourier sine transform. The lifted initial datum vanishes at the endpoint, making its sine transform if its second derivative is integrable. The transformed forcing is ; time integration followed by integration by parts makes its solution contribution uniformly . An integrable spectral majorant proves uniform convergence even at the compatible initial-boundary corner.
Weighted sine transform for half-line drift diffusion Created 2026-10-14 Updated 2026-10-18
For , the exponential change of unknown gives . Its Fourier sine transform satisfies a closed scalar evolution with a boundary forcing term. The initial transform uses ; ordinary integrable-transform arguments require sufficient decay of this weighted datum. For this requires . In contrast, the unweighted sine transform of couples to its cosine transform through the drift term, so it does not directly diagonalize this half-line problem.