Show that the function $f(x,y) = |xy|$ is differentiable at 0, but is not of class $C^1$ in any neighborhood of 0.

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The problem from Munkres' Analysis on Manifold is that

Show that the function $f(x,y) = |xy|$ is differentiable at 0, but is not of class $C^1$ in any neighborhood of $0$.


My thought on the first part is that since $Df(0)= [0 0]$, $f$ is differentiable at $0$.

However, I have no idea of how to approach to the second part.

This was my initial thought :


Let $x=(x_1, x_2)\in\Bbb R^2$.

Then,

$D_1f(x) =\begin{cases}x_2&\text{ if }\quad x_1x_2 &> 0\\x_1&\text{ if }\quad x_1x_2&<0\end{cases}$

Therefore, $D_1f(x) =0\quad as \quad x \to 0$.

Since $D_1f(0) = 0$, this implies that $D_1f$ is continuous at $0$. Similar argument goes for $D_2f$.


Is this result wrong or compatible to what the problem requires?

And how can I prove that $f$ is not continuously differentiable in neighborhood of $0$?

Thanks!

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Your prove for differentiability is okay.

Not $C^1$:

Notice that $D_1 f$ does not exist at $(0,y)$ for any $y\ne 0$.

Differentiable:

The function $f$ is constant zero on the axes. Thus, the partial derivatives at $(0,0)$ are $0$. Hence, the candidate for $Df(0)$ is $(0,0)$. Now, for $(x,y) \ne (0,0)$ we have $$ \begin{align} |f(x,y) - f(0,0) - 0\cdot x - 0\cdot y| &= |x||y| \\ &= \min(|x|,|y|)\max(|x|,|y|) \\ &\le \min(|x|,|y|) \sqrt{x^2 + y^2}. \end{align}$$ As $\min(|x|,|y|)$ tends to $0$ for $(x,y)\to (0,0)$, we have shown that $f$ is differentiable at $(0,0)$ with $Df(0,0) = (0,0)$.