Let $f\in L^1(\mathbb{R}^n)$ and $\phi_\varepsilon(x):=\varepsilon^{-n}e^{-\pi|\varepsilon^{-1}x|^2}$. It is straightforward to see that $\phi_\varepsilon(x)$ is an approximate identity.
I want to prove that $$\int_{\mathbb{R}^n}\left\vert\lim_{\varepsilon\to 0}\phi_\varepsilon*f-f\right\vert dx= \lim_{\varepsilon\to 0}\int_{\mathbb{R}^n}\left\vert\phi_\varepsilon*f-f\right\vert dx .$$
Can we apply Lebesgue Dominated Convergence theorem here? If not, could we find another way out, namely how to switch the order of limit and integration of
$$\lim_{\varepsilon\to 0}\int_{\mathbb{R}^n}\left\vert\phi_\varepsilon*f-f\right\vert dx?$$
If we apply Lebesgue Dominated Convergence theorem, then we need to do two things:
- Prove that $\phi_\varepsilon*f(x)-f(x)$ converges pointwise to a function $h(x)$ as $\varepsilon\to 0$.
- Prove that $\phi_\varepsilon*f(x)-f(x)$ is dominated by some integrable function $g(x)$ in the sense that $$|\phi_\varepsilon*f(x)-f(x)|\le |g(x)|.$$
But I’m totally stuck here. Could you give me some help? Thank you!
Motivation:
I’m reading the proof of Fourier Inversion theorem:
$$\int_{\mathbb{R}^n}\widehat{f}(\xi)e^{2\pi ix\cdot\xi}d\xi=f(x)$$ almost everywhere, where $f,\widehat{f}\in L^1(\mathbb{R}^n)$.
I managed to understand the proof (including the equality right below) until $$\lim_{\varepsilon\to 0}\int_{\mathbb{R}^n}\widehat{f}(\xi)e^{2\pi ix\cdot\xi}e^{-\pi|\varepsilon \xi|^2}d\xi= \lim_{\varepsilon\to 0}\phi_\varepsilon*f(x).$$
It is mentioned in many books but there are always no more details. We are always told to apply Lebesgue Dominated Convergence theorem here and then the proof shall be concluded.
I managed to understand that the left side is equal to $$\int_{\mathbb{R}^n}\widehat{f}(\xi)e^{2\pi ix\cdot\xi}d\xi.$$ For the left side, the theorem is indeed applied.
For the right side, if the equality that I stated on the top holds, then since $$\lim_{\varepsilon\to 0}\int_{\mathbb{R}^n}\left\vert\phi_\varepsilon*f-f\right\vert dx=\lim_{\varepsilon\to 0}\Vert f*\phi_\varepsilon-f\Vert_1=0,$$we have $$\int_{\mathbb{R}^n}\left\vert\lim_{\varepsilon\to 0}\phi_\varepsilon*f-f\right\vert dx=0.$$ There is a theorem stating that
$E$ is a measurable set and $f$ is integrable on $E$. Then $$\int_E |f|~dm=0$$if and only if $f=0$ almost everywhere.
Therefore we have $\lim\limits_{\varepsilon\to 0}\phi_\varepsilon*f=f$ almost everywhere. It completes the proof.
Any help is appreciated. Thank you!
Let $B_r$ denote the ball of radius $r$ centered at the origin. Then Lebesgue Differentiation Theorem tells:
Now let $f : \mathbb{R}^n \to \mathbb{R}$ be a measurable function which is either non-negative or integrable, and let $\phi_{\varepsilon}$ be as in OP. Then
\begin{align*} (f \ast \phi_{\varepsilon})(x) &= \int_{\mathbb{R}^n} f(x-y)\varepsilon^{-n}e^{-\pi|y/\varepsilon|^2} \, \mathrm{d}y \\ &= \int_{\mathbb{R}^n} f(x-y) \biggl( \int_{|y|}^{\infty} 2\pi r \varepsilon^{-n-2}e^{-\pi r^2 / \varepsilon^2} \, \mathrm{d}r \biggr) \, \mathrm{d}y \\ &= \int_{0}^{\infty} \biggl( \int_{\{|y| < r\}} f(x-y) \, \mathrm{d}y \biggr) 2\pi r \varepsilon^{-n-2}e^{-\pi r^2 / \varepsilon^2} \, \mathrm{d}r \tag{$\because$ Fubini} \\ &= \int_{0}^{\infty} \biggl( \frac{1}{|B_{\varepsilon s}|} \int_{B_{\varepsilon s}(x)} f(z) \, \mathrm{d}z \biggr) 2\pi |B_1| s^{n+1} e^{-\pi s^2} \, \mathrm{d}s, \end{align*}
where the substitutions $r=\varepsilon s$ and $z=x-y$ are utilized in the final step. Write
$$k(s) := 2\pi |B_1| s^{n+1} e^{-\pi s^2}$$
for simplicity. Then either by a direct computation or by plugging $f \equiv 1$ to the identity above, we note that
$$\int_{0}^{\infty} k(s) \, \mathrm{d}s = 1.$$
Now assume that $f$ is integrable. Then for each $x\in\mathbb{R}^n$ satisfying $\text{(*)}$, the map
$$ (0, \infty) \ni r \mapsto \frac{1}{|B_{r}|} \int_{B_{r}(x)} f(z) \, \mathrm{d}z $$
is bounded and converges to $f(x)$ as $r \to 0$. So by the dominated convergence theorem,
\begin{align*} \lim_{\varepsilon \to 0} (f \ast \phi_{\varepsilon})(x) &= \int_{0}^{\infty} \biggl( \lim_{\varepsilon \to 0} \frac{1}{|B_{\varepsilon s}|} \int_{B_{\varepsilon s}(x)} f(z) \, \mathrm{d}z \biggr) k(s) \, \mathrm{d}s \\ &= \int_{0}^{\infty} f(x)k(s) \, \mathrm{d}s = f(x) \end{align*}
as required.