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Consider a continuous and differentiable function $f(x,y,z)$ with $x,y,z\in \mathbb{R}$. For each $(y,z)$, there exists a unique $x_1(y,z)$ that maximizes $f(x,y,z)$. For each $(x,z)$, there exists a unique $y_1(x,z)$ that maximizes $f(x,y,z)$. $f(x,y,z)$ increases in $z$.

Hypothesis: $\frac{\partial x_1}{\partial z}>0$

I am pretty sure that this Hypothesis is a standard analytical result but somehow I don't see it. Can you hint me towards the Theorem that shows this or sketch a proof?

Do I need $\frac{\partial^2 f(x,y,z)}{\partial x \partial y}>0$ on top of this?

@Jean-ArmandMoroni! showed with below counterexample that the Hypothesis is not true with the above assumptions.

Would it be sufficient to limit $x,y\in \mathbb{R}^+$? Are there any other easy conditions that make my hypotheses correct?

Paul
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EDIT No conclusion can be made on $x_1$. Here is a counterexample.

If $f$ is a function which satisfies the conclusion, i.e.
$\frac {\partial x_1} {\partial z} \gt 0$,
then define $g(x, y, z) = f(-x, y, z)$.

$g$ is continuous and differentiable, and for each $(y, z)$ there exists a unique $x'_1(y, z)$ which maximizes $g(x, y, z)$: this is $x'_1(y, z) = - x_1(y, z)$.
$g(x, y, z)$ increases in $z$.

So $g$ verifies all hypotheses. But $\frac {\partial x'_1} {\partial z} = -\frac {\partial x_1} {\partial z}$, so
$\frac {\partial x'_1} {\partial z} \lt 0$

Below is what I first wrote.


Actually $y$ plays no role in the problem: the reasoning can take place by fixing $y$, and reasoning on $f_y$ which is the restriction of $f$ to a fixed value of $y$:

  • $x'_{1,y}(z)$, which maximizes $f_y(x, z)$, is the same as $x_1(y, z)$ which maximizes $f(x, y, z)$.
  • And so $\frac {\partial x'_{1,y}} {\partial z} (x, z) = \frac {\partial x_1} {\partial z} (x, y, z)$.

Then if
$\forall y, x, z_a, z_b$ we have $z_a \lt z_b \Rightarrow f_y(x, z_a) \lt f_y(x, z_b)$,
$\sup_x f_y(x, z_a) \lt \sup_x f_y(x, z_b)$
(the inequality stays strict because the $\sup$ is attained on some $x$)

The rest of the proof was wrong.