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If the constant symmetric matrix $A$ satisfies $A\xi \cdot \xi \ge \theta |\xi {|}^2$, then every smooth function $u$ with compact support satisfiesIndeed, the Fourier transform of a derivative and the Plancherel theorem turn the squared norms into integrals with Fourier multipliers $|\xi {|}^4$ and $(A\xi \cdot \xi {)}^2$.

A linear partial differential operator sends a function to a linear combination of its partial derivatives. If its coefficients are constant, the Fourier transform of a derivative turns it into multiplication by its polynomial symbol $P(\xi )$.

Interpret the given velocity regularity in the stated Sobolev space sense. Repeated integration by parts, or the Fourier transform of a derivative in distributions, givesThe usual one-dimensional one-dimensional Sobolev representative or a smooth approximation justifies this identity without imposing extra decay of classical derivatives at specific boundary points. The transform of an integrable function has absolute value at most its $L^1$ norm. ThereforeSetting $\xi =kt$ and taking the supremum gives the required uniform weighted bound. The $k=0$ term on the left is zero; there is no division by that frequency in this argument.

The original PDF has forcing $e^{-|x|}$; the supplied TeX loses the absolute-value bars. Set $q=|\omega |$. First assume $q>0$ and $q\ne 1$. The Fourier transform of a derivative, obtained by integration by parts with the boundary terms zero, is $\widetilde{u^{\prime \prime }}=-k^2\tilde{u}$. Applying it and the preceding transform givesUsing the inverse Fourier transform pairs from part (i),Both decay conditions hold. The first derivatives of the two exponential terms cancel at zero, so $u$ is continuously differentiable there; the second derivatives have matching limits and the differential equation holds at zero as well as on both half-lines. For uniqueness, a difference solves the homogeneous equation. Decay gives $A{e}^{-qx}$ on the positive half-line and $B{e}^{qx}$ on the negative half-line. Continuity gives $A=B$ and derivative continuity gives $-qA=qB$, forcing both to be zero.

The PDF's condition $\omega \ne \pm 1$ also allows $\omega =0$, but no decaying solution exists when $\omega =0$. Indeed on $x>0$, $-u^{\prime \prime }=e^{-x}$ and decay forces $u=-e^{-x}$; on $x<0$, decay forces $u=-e^x$. Their one-sided derivatives at zero are $1$ and $-1$, which cannot match. The missing condition $\omega \ne 0$ is therefore a genuine source omission, not a transcription repair. The transform expression at $q=0$ has a nonintegrable $k^{-2}$ singularity, consistently with this obstruction.

For smooth rapidly decaying initial data, apply the Fourier transform in $x$ and differentiate under the integral. The Fourier transform of a derivative turns the wave equation intoSolving this constant-coefficient ordinary differential equation givesAt $k=0$ the quotient means its continuous limit $t$, so $\tilde{v}(0,t)=\tilde{f}(0)+t\tilde{g}(0)$.

Since $\cos kt=(e^{ikt}+e^{-ikt})/2$, the Translation property of the Fourier transform inverts the first term as $(f(x+t)+f(x-t))/2$. Also $K_t(x)=\frac{1}{2}{1}_{[-t,t]}(x)$ has Fourier transform $\sin kt/k$, including its limiting value at zero. The convolution theorem therefore inverts the second term asThis proves the D'Alembert formulaThe formula itself extends beyond the rapidly decaying class: $f\in C^2$ and $g\in C^1$ suffice for a classical solution, verified by differentiation and the two initial conditions. The decay assumption above justifies the ordinary transform derivation without distributional qualifications.

With periodic or sufficiently decaying boundary conditions, integration by parts givesAssume $\kappa \ge 0$ for a stable quadratic free energy; the diffusive smoothing discussed below requires $\kappa >0$. In a periodic box of volume $V$, use the unitary convention ${\varphi }_{\mathbf{q}}=V^{-1/2}{\int }_V\varphi (\mathbf{r})e^{-i\mathbf{q}\cdot \mathbf{r}}d\mathbf{r}$. A real field has ${\varphi }_{-\mathbf{q}}={\varphi }_{\mathbf{q}}^{\ast }$. Since the Fourier transform of a derivative converts ${\nabla }^2$ to $-q^2$, each Fourier mode obeysIt is an Ornstein-Uhlenbeck process. Multiplication by the integrating factor $e^{r(q)t}$ givesThe noise integral is understood as an Itô integral with a deterministic kernel; writing $\eta ds$ is shorthand for the corresponding Wiener increment. Direct differentiation in the mild stochastic sense checks both the equation and the initial value. The stated Kronecker-delta noise covariance corresponds to this finite-volume normalization. Unlike a conserved order parameter, the zero wavenumber mode decays at the nonzero rate $\Gamma a$.

Extend $u$ by zero to ${\mathbb{R}}^n$; its compact support inside the ball makes the extension smooth. The Fourier transform of a derivative givesThe assumption says that $L_0$ is a uniformly elliptic operator, soMoreover,The Plancherel theorem therefore yieldsAll integrands vanish outside the original support where appropriate, so

Taking the Fourier transform of a derivative givesThus, away from $\xi =0$,This formula determines the $L^2$ solution uniquely; a distribution supported only at $\xi =0$ cannot belong to $L^2$ unless it is zero.

For $|\xi |\le 1$, the Fourier transform estimate $|\hat{f}(\xi )|\le C\Vert f{\Vert }_1$ and local integrability of $|\xi {|}^{-2}$ in three dimensions control the squared norm. For $|\xi |>1$,The Plancherel theorem therefore yields $\Vert B_j{\Vert }_{H^{s+1}}\le C(\Vert f{\Vert }_1+\Vert f{\Vert }_{H^s})$. Finally the Sobolev embedding theorem in three dimensions gives $H^{s+1}\subset C^1$ when $s+1>1+3/2$, namely when $s>3/2$.

Integration by parts, using decay of $m$, gives the Fourier transform of a derivative

Let $K$ contain the support of $u\in {\mathcal{E}}^{\prime }({\mathbb{R}}^n)$. Choose a cutoff function that equals one near $K$. It makeswell-defined, and differentiating the parameter under the pairing givesThus the Fourier transform of a compactly supported distribution is a smooth function. Since a compactly supported distribution has finite order, some $N$ and $C$ satisfyApplying this estimate to the exponential yields $|\hat{u}(\lambda )|\le C^{\prime }⟨\lambda {⟩}^N$.

Now take $v\in {\mathcal{E}}^{\prime }(X)$, multiply by a cutoff function supported in $X$ and equal to one near $\mathrm{supp}v$, and regard the result as an element of ${\mathcal{E}}^{\prime }({\mathbb{R}}^n)$. Choose $m$ so large thatis Lebesgue integrable. The inverse Fourier transform $f={\mathcal{F}}^{-1}g$ is a bounded continuous function, and the Fourier transform of a derivative givesas a distributional identity. This is the Bessel potential proof of the structure theorem for compactly supported distributions.

The function $f$ itself need not have compact support. Choose another cutoff $\rho \in \mathcal{D}(X)$ equal to one near $\mathrm{supp}v$. Then $v=\rho (1-\Delta {)}^{m}f$. Repeatedly usingexpresses $v$ as a finite sum ${\sum }_{\beta }{\partial }^{\beta }{f}_{\beta }$, where every coefficient $f_{\beta }$ is continuous and compactly supported in $X$.

The Fourier transform of a derivative givesSince $p^{\prime }=g$,An arbitrary additive constant in $p$ affects only the zero-frequency Dirac delta function when transforms are interpreted as distributions.

The values of $\log i$ are $i(\pi /2+2\pi n)$. HenceThese are infinitely many distinct positive real numbers.

The Fourier transform of a derivative givesHencefor $k\ne 0$. The assumed existence of the transforms excludes an arbitrary nonzero constant in $p$.

In free space $Q=0$, and the fourth moment obeysFor the two-dimensional Fourier transformthe Fourier transform of a derivative turns this equation into the ordinary differential equationThusUsing the screen-exit value from part (a), the inverse transform givesthrough first order in $\Delta x$. Equivalently, the free-space fourth-moment propagator has kernel

Setting $ϵ=0$ makes the inhibitor equation quasistatic:Taking the spatial Fourier transform and using the Fourier transform of a derivative givesTherefore the fast-inhibitor elimination in a reaction-diffusion system is

Use the Fourier transform conventionThe zero mode vanishes because the compositional order parameter has zero spatial average. Parseval identity and the Fourier transform of a derivative turn the quadratic part of the dimensionless free energy intoHere ${\sum }_{\mathbf{q}}^{+}$ is the positive-wavevector sum for a real field. Each independent complex amplitude has density proportional to $e^{-G(q)|{\varphi }_{\mathbf{q}}{|}^2}$, so its elementary Gaussian integral gives the static structure factorwhenever $G(q)>0$.

The stationary points of the Brazovskii model kernel obeyBecause $\kappa <0<\gamma$, the nonzero minimum is the nonzero-wavevector soft-mode sphereAt this wavevector,The first Gaussian field theory divergence therefore occurs at

For $m\ge 2$ integrable weak velocity derivatives on a unit-period spatial circle, the Fourier transform of a derivative gives $|{\hat{f}}_0(k,kt)|\le \Vert {\partial }_v^m{f}_0{\Vert }_1/(2\pi |kt|{)}^m$ for $k\ne 0$. Summing these modes uses ${\sum }_{k\ne 0}|k{|}^{-m}=2\zeta (m)$. The resulting absolute Fourier summability gives the displayed uniform bound for the continuous representative of the density. For $m=1$ the same summation diverges, so this argument needs additional input.