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Let $f\colon\mathbb R^2\to\mathbb R$ be a measurable function such that \begin{equation*} F(t):=\int_{\mathbb R}dx\,f(t,x) \end{equation*} exists and is finite for all real $t$. Suppose that \begin{equation*} f_t(t,x):=\frac{\partial f(t,x)}{\partial t} \end{equation*} exists and is finite for all real $t,x$, and also suppose that \begin{equation*} \int_{\mathbb R}dx\, f_t(t,x) \end{equation*} exists and is finite for all real $t$.

Then, under certain additional conditions, \begin{equation*} F'(t)=\int_{\mathbb R}dx\, f_t(t,x) \tag{1}\label{1} \end{equation*} for all real $t$; see e.g. Folland, Theorem 2.27 or the more general Lemma 2.3.

Among counterexamples to \eqref{1} are this and this. However, in those counterexamples the function $f$ is not continuous.

A question arose whether there is a counterexample to \eqref{1} with a continuous function $f$. Such an example will be given in the answer below.

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2 Answers 2

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A simple example is given by $$ f(t,x)=\cases{\exp(-(x-t^{-2})^2),&$t\neq 0$,\\0,&$t=0.$} $$ For each fixed $t\neq 0$, $\int f(t,x)\,dx$ is a Gaussian integral equal to $\sqrt{\pi}$, while for $t=0$, the integral equals to zero. Therefore, $F(t)$ is not even continuous at $0$, let alone differentiable.

On the other hand, at $t\neq 0$, any partial derivative of $f$ has a form $P(t^{-1},x)\exp(-(x-t^{-2})^2)$ for some polynomial $P$. This tends to zero as $t\to 0$, uniformly in $x$ in compacts. Therefore, $f$ is smooth with all partial derivatives vanishing on at $\mathbb{R}$. Also, any expression of this form, and in particular $\partial_t f(t,x)$, is clearly integrable over $x$ for all $t$.

Update: The above example may feel like cheating, since in essence the discontinuity of $f$ has just been moved to infinity. Here's a better one in that respect:

$$ f(t,x)=\cases{\mathrm{sign}(t)|t|^\frac{1}{2}\exp\left(-\frac{(x-\sqrt[5]{t})^2}{|t|}\right),&$t\neq 0$,\\0,&$t=0.$} $$ This has $F(t)=\sqrt{\pi}t$ while still $\partial_t f(t,x)|_{t=0}\equiv 0$. It has an additional feature that $$ \int_I\partial_t f(t,x)\,dx\neq\partial_t \int_I f(t,x)\,dx $$ for any non-empty interval $I$ containing the origin. It has smooth restrictions onto vertical and horisontal lines, but it is not overall smooth or even continuously differentiable: indeed, if it were, it would have its derivatives bounded on compacts, thus $\int_I$ and $\partial_t$ would commute for any compact interval $I$.

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    $\begingroup$ Thank you for your answer. Concerning your second example: actually, $\partial_t f(t,0)|_{t=0}=\infty\ne0$. I had thought about an example like this but did not finish that idea, ending up with that different one. I suspect one can modify the rescaled-normal-pdf idea to get $\partial_t f(t,x)|_{t=0}\equiv 0$ indeed. $\endgroup$ Commented Dec 11, 2022 at 13:45
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    $\begingroup$ @IosifPinelis indeed - corrected. $\endgroup$
    – Kostya_I
    Commented Dec 11, 2022 at 16:26
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    $\begingroup$ Great! I will wait a bit for other answers. If no more answers are given, I am going to accept yours. $\endgroup$ Commented Dec 11, 2022 at 16:30
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$\newcommand{\R}{\mathbb R}$Let us give a counterexample with $f$ continuous and (as a bonus) $f_t(t,x)$ (infinitely) smooth in $t$.

Let $\psi\colon\R\to\R$ be a smooth nonzero nonnegative function supported on the interval $[0,1]$. For instance, one may take $\psi(u)=1(0<u<1)\,\exp-\frac1{(1-u)u}$ for real $u$.

Take any real $p$ and $q$ such that \begin{equation*} 1<p<q. \end{equation*} For all real $t$ and $x$, let \begin{equation*} f(t,x):=\int_{-\infty}^t ds\, g(s,x), \end{equation*} where \begin{equation*} g(t,x):=1(x>0)\,x^{-p}\psi(t/x^q)=1(x>0,t>0)\,x^{-p}\psi(t/x^q). \end{equation*} Then $f_t=g$, so that $f_t(t,x)$ is indeed smooth in $t$.

Also, $f(0,x)=0$ for all real $x$ and hence $F(0)=0$. Also, $f=0$ on $\R\times(-\infty,0]$.

Next, for all real $t$ and $x$, \begin{equation*} f(t,x)=1(x>0,t>0)\,x^{-p}\int_0^t ds\, \psi(t/x^q) =1(x>0,t>0)\,x^{q-p}\int_0^{t/x^q} du\, \psi(u)=O(1(x>0)x^{q-p}) \end{equation*} uniformly in real $t$. So, $f$ is continuous at any point $(t,x)$ with $x=0$. That $f$ is continuous at any point $(t,x)$ with $x\ne0$ is obvious. So, $f$ is continuous.

Finally, for real $t>0$, \begin{equation*} \begin{aligned} F(t)-F(0)=F(t) &=\int_0^\infty dx\,f(t,x) \\ & =\int_0^\infty dx\,x^{q-p}\int_0^{t/x^q} du\, \psi(u) \\ & =\int_0^\infty du\, \psi(u)\,\int_0^{(t/u)^{1/q}} dx\,x^{q-p} \\ & =c_1 t^{1-(p-1)/q}\int_0^\infty du\,\psi(u) u^{(p-1)/q-1} \\ & =c_2 t^{1-(p-1)/q} \end{aligned} \end{equation*} for some real $c_1>0$ and $c_2>0$. So, the right derivative of $F$ at $0$ is \begin{equation*} F'_+(0)=\lim_{t\downarrow0}\frac{F(t)-F(0)}t=\infty, \end{equation*} whereas \begin{equation*} \int_{\mathbb R}dx\, f_t(0,x)=\int_{\mathbb R}dx\, g(0,x)=0. \end{equation*} So, identity \eqref{1} fails to hold for $t=0$. $\quad\Box$

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    $\begingroup$ @DanieleTampieri : Thank you for your edit and the useful information about it. $\endgroup$ Commented Dec 11, 2022 at 13:30
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    $\begingroup$ You are welcome, Iosif: I follow almost all your Q&A on the MathOverflow, and I like when I can improve a bit such high quality writings. $\endgroup$ Commented Dec 11, 2022 at 14:32
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    $\begingroup$ @DanieleTampieri : Thank you very much for your kind words and for your help. $\endgroup$ Commented Dec 11, 2022 at 16:03
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    $\begingroup$ Thank you both! I guess the original question stems from here. In fact, I was trying to make sense of this question for kernel approximation in machine learning: Let $k(x, y)$ be a kernel. It is often possible to construct (random) feature maps: $\phi(x; Z)$, $\phi(y; Z)$ such that $k(x, y) = \mathbb E_Z[\phi(x; Z)^\top \phi(y; Z)]$. Here $Z$ is some random variable. But, does the following necessarily hold? ${\partial k(x, y) \over\partial x} = \mathbb E_Z [{\phi(x; Z)^\top \phi(y; Z) \over \partial x}]$ $\endgroup$ Commented Dec 11, 2022 at 19:51

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