Analysis Problem of the Day 28

Today’s quite intimidating problem appeared as Problem 5 on the UCLA Spring 2023 Analysis Qual:

Problem 5. Let e_1,e_2,e_3 \in \mathbb{R}^3 be the standard basis for \mathbb{R}^3, and let w \in \mathbb{R}^3.

a) Show that there is no f \in L^2(\mathbb{R}^3) satisfying

    \[f(x) = \frac16 \sum_{j=1}^3 (f(x+e_j)+f(x-e_j)) +e^{iw \cdot x - |x|^2/2}\]

a.e.

b) Show that for every \epsilon > 0 there exists f \in L^2(\mathbb{R}^3) such that

    \[\left\|f(x)-\left(\frac16 \sum_{j=1}^3 (f(x+e_j)+f(x-e_j)) +e^{iw \cdot x - |x|^2/2}\right)\right\|_2^2 < \epsilon.\]


Solution: a) The presence of a complex exponential, a Gaussian, and the fact that we are working over L^2 highly suggests that this problem is related to the Fourier transform. Thus, let’s take the Fourier transform on both sides to get

    \[\widehat{f}(\xi) = \frac16 \sum_{j=1}^3 \widehat{f}(\xi) (e^{i e_j \cdot \xi}+e^{-i e_j \cdot \xi}) + e^{-|\xi -w|^2/2},\]

where we use the fact that the Fourier transform of a Gaussian is a Gaussian and translation corresponds to a phase shift on the frequency side. Simplifying and solving for \widehat{f} yields

    \[\widehat{f}(\xi) = \frac{e^{-|\xi-w|^2/2}}{1-\frac13\sum_{j=1}^3 \cos (\xi_i)}.\]

Notice that the right hand side blows up whenever \xi_i = 2\pi n. To understand how fast this blow up occurs, we Taylor expand by using \cos x \approx 1 -\frac{x^2}{2}. Then, the denominator simplifies as \frac16 (\xi_1^2+\xi_2^2+\xi_3^2) = \frac16 |\xi|^2. On \mathbb{R}^3, integrating in spherical coordinates yields a Jacobian factor proportional to r^2, so since the Gaussian is bounded near the origin, the L^2 norm of \widehat{f} is bounded below by \int \frac{1}{r^4} r^2 dr = \infty, i.e. \widehat{f} \not \in L^2(\mathbb{R}^3). By Plancherel’s theorem, this implies that f \not \in L^2(\mathbb{R}^3), so no f satisfying such conditions can exist.

b) From the above discussion, the issue with L^2 integrability clearly occurs precisely at the lattice points 2\pi \mathbb{Z}^3. To remedy this, we thus may modify \widehat{f} in a small neighborhood of those lattice points. For small enough \delta>0, pick balls of radii B_j of radii \frac{\delta}{\sqrt[3]{\frac43\pi}2^{\frac{j}{3}}} centered at the lattice points so that \int_{\bigcup_j B_j} |\widehat{f}|^2 dx < \epsilon (this can be done by absolute continuity). Then, set \widehat{f}(\xi) to be

    \[\widehat{f}(\xi) := \frac{e^{-|\xi-w|^2/2}}{1-\frac13\sum_{j=1}^3 \cos (\xi_i)}\]

outside of those balls and some fixed \epsilon>0 on \bigcup_j B_j. Note that \widehat{f} has finite L^2 norm on \bigcup_j B_j rougly bounded by \epsilon \delta. Moreover, \widehat{f} has finite L^2 norm on \left(\bigcup_j B_j\right)^c, since the Gaussian is in L^2 and near the lattice points, \sum_j e^{-|w-\xi|^2} \frac{2^j \pi}{\delta} = O(1) (since e^{-x^2} decays faster than the growth of 2^x.) Thus, \widehat{f} \in L^2(\mathbb{R}^3), so by Plancherel’s, f \in L^2(\mathbb{R}^3). Finally, by shrinking \delta>0 if necessary,

    \[\widehat{f}(\xi) - \left(\frac16 \sum_{j=1}^3 \widehat{f}(\xi) (e^{i e_j \cdot \xi}+e^{-i e_j \cdot \xi}) + e^{-|\xi -w|^2/2}\right)\]

has L^2 norm less than \epsilon since the function vanishes on \left(\bigcup_j B_j\right)^c, while on all of the balls, \widehat{f} contributes at most a constant multiple of \epsilon, and so does the Gaussian. Thus, the inverse Fourier transform f of \widehat{f} as constructed satisfies the statement of the problem.

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