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Comments on Does every divergence-free vector field arise as the curl of some vector field?

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Does every divergence-free vector field arise as the curl of some vector field?

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I was introduced to the concepts of gradient $\nabla f$, curl $\nabla \times F$ and divergence $\nabla \cdot F$ in an introductory course on calculus during my undergraduate studies. There I learnt that for any scalar function $f$ on $\mathbb{R}^2$ or $\mathbb{R}^3$, we have $\nabla \times (\nabla f) = 0$. Moreover, we saw the following standard example of a vector field $F$ on an open subset of $\mathbb{R}^2$ such that $\nabla \times F = 0$ but for which $F \neq \nabla f$ for any scalar function $f$, namely, $$ F(x, y) = \left( \frac{-y}{x^2 + y^2}, \frac{x}{x^2 + y^2} \right) $$ for every $(x, y) \in \mathbb{R}^2 \setminus \{ (0,0) \}$.

Analogously, it seems to me, we also showed that for every vector field $F$ on $\mathbb{R}^2$ or $\mathbb{R}^3$, we have $\nabla \cdot (\nabla \times F) = 0$. However, we did not consider the converse: if $F$ is a vector field on some subset of $\mathbb{R}^2$ or $\mathbb{R}^3$ such that $\nabla \cdot F = 0$, is it true that $F = \nabla \times G$ for some vector field $G$?

My guess is that this is not true, just as the analogous earlier question regarding the curl and the gradient had a negative answer. However, I'm not able to come up with any counterexample. I understand that (in the $\mathbb{R}^2$ case) I'm interested in finding a vector field $G(x, y) = G_1(x, y) \hat{\iota} + G_2(x, y) \hat{\jmath}$ such that $$ \frac{\partial G_2}{\partial x} - \frac{\partial G_1}{\partial y} = F_3(x, y), $$ where $F = F_3(x, y) \hat{k}$ is the vector field I'm starting out with. This reminds me of an exact differential equation, but I admit I'm not familiar enough with the concept to be able to proceed further.

More generally, I would like to know whether we can put precise conditions on when a divergence-free vector field is the curl of some vector field. Like in the earlier case, I expect that the geometry of space should play an important role: there, asking that the domain be simply connected was a sufficient condition to guarantee the existence of the function $f$, so perhaps something similar will happen here as well?

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The Amplitwist‭ wrote almost 4 years ago · edited almost 4 years ago

Taking another look at the displayed equation in my post, I think I can take $G_1 = 0$ and $G_2 = \int F_3(x, y)\, dx$ (or the other way around) provided the integral exists. This seems to provide some criterion at least in the $\mathbb{R}^2$ case.

r~~‭ wrote almost 4 years ago

Counterexamples in Analysis (Gelbaum and Olmsted), p. 126, offers $\vec{F}(x, y, z) = (x^2 + y^2 + z^2)^{-\frac{3}{2}}(x\vec{i} + y\vec{j} + z\vec{k})$, defined everywhere but the origin, as a counterexample. This suggests that a simply connected domain is not sufficient—IIRC it needs to be 2-connected, in addition to being sufficiently differentiable, but I can't find a source for this right now or I'd make an answer.