By the Fourier inversion theorem and Fubini's theorem,
Thus multiplication of Fourier transforms corresponds to the convolution , which is the convolution theorem in the convention used here.
Take the Fourier transform in . Since , the transformed heat equation is
Therefore
The given transform pair and the convolution theorem yield the heat-kernel solution
The convolution is
We claim that the -fold convolution is
This is true for . If it holds for and , then
and the convolution vanishes for . This is the gamma density from repeated exponential convolution.
The Fourier transform is
The convolution theorem states
Indeed, Fubini and give
Since , induction immediately verifies
For Parseval identity, take . Then
Using Fourier inversion at zero, which follows from the supplied delta identity,
and the convolution theorem gives
Apply this to . Since
one obtains the Even rational Parseval integral
Insert the transform definitions and use Fubini:
For the indicator of ,
Putting and in the convolution theorem gives
and hence
Use normalized convolution and Fourier coefficients, and define the large spectrum
By the Parseval identity and ,
so .
The convolution theorem gives
If , the part over is at most
because . On the complementary spectrum, and , so the contribution is less than . The required difference is therefore less than .
With the convention in convolution theorem, absolute integrability permits Fubini:
If is orthogonal to every translate of , then the correlation vanishes. By convolution theorem,
almost everywhere. Since vanishes only at one point, a null set, almost everywhere. By Plancherel theorem, . Orthogonal-complement characterization proves density in .
Transform pair. In the paper's symmetric normalization, the inverse Fourier transform is
Split the transform of at zero, with :
The inverse formula applied to this result gives
Because the kernel is even, replacing the transform variable by and the argument by yields
The factors of depend on the normalization and will also enter the convolution theorem.
Convolution theorem. For integrable functions define the convolution
Substitute this into the Fourier transform, interchange the two absolutely integrable factors using Fubini's theorem, and set :
Therefore
Integral equation. Put . Since this is even, the left side is . The transformed equation is
so
The assumption makes the new scale positive. Inverting with the previously established transform pair gives
The Cauchy convolution semigroup gives a quick verification. With , the formula is and . Hence , as required. The solution is unique among integrable functions because the multiplier never vanishes.
Use the Fourier transform convention , with inverse factor . For functions in L1 space, their convolution is . Fubini's theorem applies because the absolute double integral is . Substituting therefore proves the convolution theorem:
For the specified rectangular pulse, the support condition is . Its Fourier transform is
The convolution is the length of the overlap of and . Thus it is the triangular pulse
The transform's value at zero is four, given by its continuous extension. In this convention, the Parseval identity for square-integrable functions is
For the rectangular pulse the left side is two, giving the sinc-squared integral
For the triangular pulse, . Apply the same Parseval identity with transform to obtain the sinc fourth-power integral
Both integrands have removable singularities at zero and integrable tails.
The convolution is . In this transform convention, the convolution theorem says , and Parseval's identity says
To match the integral's scale exactly, set and . Then and , using the value one at zero. Their convolution is the box smoothing of a two-sided exponential with both scales equal to one:
Its transform is precisely . Since is even, Parseval's identity reduces the requested integral to
Use , and . Simplifying gives
The apparent singularity at is removable, and the integrand decays as , so the integral converges.
Use the convention
These are the Fourier transform and inverse Fourier transform for suitably integrable data. Assuming the required ordinary transforms exist and the lower derivatives vanish at both ends, integration by parts gives . Repeating this argument yields
The decay assumptions are used to discard the boundary terms at each step.
For positive diffusivity , transforming the heat equation gives . Thus , where . The convolution theorem and the Gaussian heat kernel give
For , the Fourier transform of a Gaussian is . Multiplying by the heat factor and inverting gives the Gaussian initial data for the heat equation solution
It recovers the initial profile as and preserves its spatial integral .
Choose the Fourier transform convention , with inverse . For absolutely integrable , Fubini's theorem permits the substitution in the convolution transform:
This proves the convolution theorem in the chosen convention.
Take . Splitting its transform at zero gives . Thus the desired inverse is . For , split the convolution integral at and :
The result is even, so
Different normalization conventions alter the transform prefactors, which is why the convention was stated explicitly.
Split the Fourier transform integral at zero:
By Fourier inversion applied to this pair, or by the residue theorem, the other transform is
For example, inversion with gives ; evenness supplies the desired sign convention.
Take the spatial Fourier transform of the Laplace equation. For it gives . Removing the exponentially growing solution and matching the boundary gives
At this formula is interpreted by continuity; a single transform value does not alter the inverse integral. The previous transform pair identifies
the Poisson kernel for the upper half-plane. The convolution theorem therefore gives the Poisson integral
This is the bounded harmonic solution for bounded decaying data, or the corresponding solution in an appropriate Fourier class. Such a growth condition matters if vertical decay is interpreted only pointwise: the nonzero harmonic function vanishes on the real axis and tends to zero for fixed as , but grows rapidly in and has no ordinary spatial Fourier transform. It can be excluded by requiring boundedness; the stated pointwise limits alone would not establish uniqueness.
For the interval data, direct integration gives the Poisson extension of interval boundary data
As it approaches for , zero for , and at . At those jump points the prescribed isolated values cannot be attained by a continuous extension; they do not affect the integral. The solution decays vertically, with for fixed and large .
The convolution theorem turns the product into a spatial convolution. Its kernel is
Complete the square:
After rescaling the variable, the supplied translated Gaussian integral gives
This is the heat-kernel solution for diffusivity one. Its kernel integrates to one, preserving the total temperature integral, and approaches a Dirac delta function as . Its variance is ; the factor is appropriate to , rather than the alternative convention with diffusivity .
First prove the convolution theorem with the stated negative-exponential Fourier transform. Assuming absolute integrability sufficient for Fubini's theorem, change variables :
For the differential equation, integration by parts gives
The boundary terms vanish by the assumed decay of . As with the convolution step, the transforms can first be justified for integrable functions and derivatives; the resulting kernel gives the desired decaying response. Thus
The convolution theorem and Fourier inversion theorem imply .
For the inverse transform of , use
The poles are at . For , close the inverse-transform contour above; the residues of there are and . The inverse-transform factor makes the answer times their sum. For , close below, enclosing no poles. The large arcs vanish: the complete rational factor is and the exponential is bounded on the appropriate semicircle. Therefore the causal Green function of an overdamped oscillator is
It is continuous, with and , so . The response can also be written .
For the bilateral exponential forcing, split the real integral at zero:
Consequently
For negative time the lower half-plane contains only . The residue of there is . Clockwise closure makes the inverse transform times that residue. For positive time the three upper residues, at respectively, are
Multiplication of their sum by gives the bilateral exponential forcing of an overdamped oscillator:
Both expressions have . This verifies the matching that prevents an extra Dirac delta function at zero. Direct substitution gives the forcing on either side, and all terms decay at their corresponding infinities. A causal Green function does not imply zero response before when the forcing has already been acting at negative times. The assumptions avoid repeated poles; their limiting cases would contain polynomial times exponential terms.
For integrable , define their convolution by . Absolute integrability of the double integral permits Fubini's theorem. With ,
The convolution theorem, together with uniqueness of the Fourier transform, therefore identifies the inverse transform of that product with . With the stated convention the inverse carries , so there is no extra factor in the convolution itself.
Now take . For , split the convolution at and :
The convolution of two even functions is even, so the self-convolution of a bilateral exponential gives
In particular the centre value is one; both pieces extend continuously there.
Splitting the Fourier integral at zero gives
Hence . The Fourier inversion theorem yields
The integral is absolutely convergent. At it gives , providing a normalization check.
The filter is a real even triangular function. Its Fourier transform is
with . Since the transmitted pulse is the convolution , the convolution theorem gives
The normalized filter preserves the time integral of the pulse, while its extra inverse-frequency factors suppress high-frequency content. It is a smoothing filter rather than an exact compact-bandwidth cutoff.
Suppose initially that are absolutely integrable, so Fubini's theorem justifies exchanging the integrations. The transform of their convolution is
Set , so and . The exponential separates:
Therefore the convolution theorem is
No extra occurs in this direction with the specified normalization.
For an integrable applied voltage, the convolution theorem gives
The integrated electric current is the zero-frequency transform, . Since can be arbitrary, zero total electric charge for every such input is equivalent to
For nonzero , this can be written
Because both amplitudes are positive, nonzero must have opposite signs. If exactly one is zero there is no cancellation with positive amplitudes; if both vanish the kernel is identically zero and any amplitudes work. In particular, if both frequency parameters were additionally required to be positive, no such nontrivial system would exist. The PDF requires positivity of , but allows real fixed .
This is zero-frequency cancellation of a causal response kernel. The phrase arbitrary voltage is understood within a class for which the net-charge integrals exist; a permanent DC input need not have finite total charge.
Let , interpreted as in the overdamped case. Factoring the denominator gives
Fourier inversion and the convolution theorem give
where
Thus the requested numerator is
For all positive , both poles lie in the upper half-plane. In the overdamped case their imaginary parts are , both positive. At equality they merge into a double pole.