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I'm trying to find some(class of) functions $f:\mathbb R^n\to\mathbb C$ such that

$$\frac{\partial f}{\partial x^i}\frac{\partial f^*}{\partial x^j}$$

is a real number for all $1\leq i,j\leq n$ and ${}^*$ is the complex conjugate operator.

Any such $f$ whose image lies in $\mathbb R$ obviously will do, but I need to find non-trivial solutions, and, in the best case, a general closed form solution(which I don't think it will happen).

I noticed that any function of the form

$$f(x^1,\ldots, x^n)=A \exp\left(i \sum_{i=1}^n a_i x^i\right)$$

with $a_i\in\mathbb R$ and $A\in\mathbb C$ will do(we can even add a constant at the end).

Is this the only family of functions with said property?

I tried inserting another function inside the exponent with the hope that must not depend on coords for the above requirement to make sense, but the expression got complicated and couldn't follow.

Any help would be greatly appreciated. Thanks.

Arctic Char
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Garmekain
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1 Answers1

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Writing $f=u+iv$ with real-valued $u$ and $v$ we obtain the following form of your condition: $${\partial u\over\partial x_j}{\partial v\over\partial x_k}-{\partial v\over\partial x_j}{\partial u\over\partial x_k}\equiv0\qquad\forall j\ne k\ .$$ This means that the matrix $$\left[\matrix{u_1&\ldots&u_n\cr v_1&\ldots&v_n\cr}\right]_x$$ has rank $\leq1$ at all $x\in{\mathbb R}^n$, hence the gradients $\nabla u(x)$ and $\nabla v(x)$ are linearly dependent at all points. This indicates that the two functions $u$, $v:\>{\mathbb R}^n\to{\mathbb R}$ are functionally dependent, i.e., there is a "hidden" nontrivial $F:\>{\mathbb R}^2\to{\mathbb R}$ such that $$F\bigl(u(x),v(x)\bigr)\equiv0\ ,\qquad{\rm or}\qquad v(x)=\Phi\bigl(u(x)\bigr)\quad\forall x\in{\mathbb R}^n\ .$$ Concerning functional dependence see this question or, e.g., pages 50–58 in this document. But maybe you find something about functional dependence in an advanced calculus book.

When you look at your example $$f(x):=\exp(i\,a\cdot x)$$ you get $u(x)=\cos(a\cdot x)$, $\,v(x)=\sin(a\cdot x)$, so that we have the "hidden" dependence $u^2+v^2=1$.

  • That means f must be proportional to any one of those gradients if im not mistaken, but i cannot see how you reached that conclusion from your =0. Could you please elaborate a bit? maybe im not seeing something.. – Garmekain Sep 22 '20 at 14:00
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    @Garmekain: "That means $f$ must be proportional to any one of those gradients" is of course wrong. The $f$ is a scalar function, whereas the gradients are vectors. – Christian Blatter Sep 22 '20 at 15:47
  • well, thats embarrasing... should've think a bit more. but thanks anyways. – Garmekain Sep 22 '20 at 16:07
  • Reading more about wedge products I understood the linear dependent gradients thing, but I didn't know covectors are linearly dependent if their wedge product is zero. – Garmekain Sep 25 '20 at 15:07