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In $\mathbb{R}$, if there is only one critical point, and it is a local minimum, it is also the global minimum (because on every path to a different global minimum, there would have to be another critical point).

In $\mathbb{R}^n$ with $n > 1$, this does not hold, e.g., for $f(x,y) = x^2 + y^2(1-x)^3$, $(0,0)$ is the only critical point and a local minimum, but obviously not the global minimum.

Now let's consider any path from this local minimum to the global minimum (or any point $(x,y)$ s.t. $f(x,y) < f(0,0)$ for that matter).

My question is: Is it correct that on such a path, every partial derivative has to be zero at least once (but not necessarily at the same point, therefore no further critical point)?

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    $\begingroup$ There is no global minimum! Suppose $g(0) = (0,0)$ and $g(t_0) = (x_0,y_0)$, with $f(g(t_0)) < 0$. How would you deduce from the fact that $f\circ g$ has a critical point in $0<t<t_0$ that $\partial f/\partial x$ must vanish on the path $g(t)$, $0<t<t_0$? $\endgroup$ Commented yesterday
  • $\begingroup$ Well that's basically the question, I'm not saying it's right, that's just the intuition I had. In 1D thats how it works, I tried to find a way to extend that intuition to $n$ dimensions. Of course on the path there is not going to be a critical point, but I thought there might have to be one if we only look at the "slice" wrt. to each input, just not at the same point. $\endgroup$ Commented 10 hours ago
  • $\begingroup$ Yes, there is a critical point of the restriction of $f$ to any such path, but that just tells you (by the chain rule) that $\nabla f$ is orthogonal to the tangent vector of the curve at some point. $\endgroup$ Commented 3 hours ago

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