Difference between revisions of "2000 USAMO Problems/Problem 1"

(Solution 3)
(Solution 3)
 
Line 35: Line 35:
 
=== Solution 3 ===
 
=== Solution 3 ===
  
We consider the function
+
Define the symmetric average
 
<cmath>
 
<cmath>
f(x, y) = \frac{x + y}{2} + |x - y|,
+
F(x, y) = \frac{f(x) + f(y)}{2}.
 
</cmath>
 
</cmath>
defined on <math>\mathbb{R}^2</math>. Define the graph of <math>f</math> as the manifold
+
Then the inequality becomes
 
<cmath>
 
<cmath>
\mathcal{M} = \{ (x, y, z) \in \mathbb{R}^3 : z = f(x, y) \}.
+
F(x, y) \ge f\left( \frac{x + y}{2} \right) + |x - y|.
 
</cmath>
 
</cmath>
  
Claim: The manifold <math>\mathcal{M}</math> is not the graph of a function <math>\mathbb{R} \to \mathbb{R}^2</math>, i.e., it cannot be inverted to express <math>(x, y)</math> as a function of <math>z</math>.
+
Because <math>|x - y|</math> is not differentiable along the line <math>x = y</math>, the surface defined by <math>F(x, y)</math> must have a permanent kink along the diagonal. A kink is a sharp crease where the surface fails to have a well-defined tangent plane.
  
Proof:
+
If f were a true function on <math>\mathbb{R}</math> satisfying the inequality at all scales, then this kink would have to persist no matter how closely x and y are chosen. That means the graph of F never becomes smooth near the diagonal.
We first observe that <math>f</math> is symmetric:
 
<cmath>
 
f(x, y) = f(y, x),
 
</cmath>
 
and convex, as it is the sum of a linear function and the convex function <math>|x - y|</math>.
 
 
 
Consider the behavior of <math>f</math> along the line <math>x = y</math>. For <math>x > y</math>, we have
 
<cmath>
 
f(x, y) = \frac{x + y}{2} + (x - y) = \frac{3x - y}{2},
 
</cmath>
 
while for <math>x < y</math>, we have
 
<cmath>
 
f(x, y) = \frac{x + y}{2} + (y - x) = \frac{3y - x}{2}.
 
</cmath>
 
The partial derivatives with respect to <math>x</math> and <math>y</math> do not match along <math>x = y</math>, creating a non-differentiable crease. Specifically,
 
<cmath>
 
\nabla f(x, y) =
 
\begin{cases}
 
\left( \frac{3}{2}, -\frac{1}{2} \right), & x > y, \\
 
\left( -\frac{1}{2}, \frac{3}{2} \right), & x < y.
 
\end{cases}
 
</cmath>
 
At <math>x = y</math>, the gradient does not exist; the directional derivatives have a jump discontinuity, forming a kink along the line <math>x = y</math>.
 
 
 
Suppose for contradiction that <math>\mathcal{M}</math> is the graph of a function <math>g: \mathbb{R} \to \mathbb{R}^2</math> such that <math>g(z) = (x, y)</math> with <math>f(x, y) = z</math>. Then each level set
 
<cmath>
 
L_z = \{ (x, y) \in \mathbb{R}^2 : f(x, y) = z \}
 
</cmath>
 
must be the image of a unique point <math>g(z) \in \mathbb{R}^2</math>.
 
 
 
However, since <math>f(x, y) = f(y, x)</math>, the level sets are symmetric across the line <math>x = y</math>. Furthermore, near any <math>z</math> for which the level set intersects the kink <math>x = y</math>, the gradient directions from either side differ, and the level set contains multiple points mapping to the same height <math>z</math>. Therefore, the preimage <math>f^{-1}(z)</math> contains at least two distinct points, violating the definition of a function <math>z \mapsto (x, y)</math>.
 
 
 
Hence, <math>\mathcal{M}</math> cannot be the graph of a function <math>\mathbb{R} \to \mathbb{R}^2</math>. The surface folds along the kink, failing the vertical line test in the direction of <math>z</math>.
 
  
<cmath>
+
But every differentiable real-valued function f produces a smooth symmetric average F. Therefore, the presence of a permanent kink contradicts the assumption that f is differentiable at any scale. The kink cannot be removed by local smoothing.
\boxed{\text{Therefore, } \mathcal{M} \text{ is a non-functional manifold.}} \quad \blacksquare
 
</cmath>
 
  
 +
Hence, the geometric shape of the inequality forces a kink that no function f can produce, so no function can be very convex.
  
 
~Lopkiloinm
 
~Lopkiloinm

Latest revision as of 03:48, 30 June 2025

Problem

Call a real-valued function $f$ very convex if

\[\frac {f(x) + f(y)}{2} \ge f\left(\frac {x + y}{2}\right) + |x - y|\]

holds for all real numbers $x$ and $y$. Prove that no very convex function exists.

Solution

Solution 1

Let $y \ge x$, and substitute $a = x, 2b = y-x$. Then a function is very convex if $\frac{f(a) + f(a+2b)}{2} \ge f(a + b) + 2b$, or rearranging,

\[\left[\frac{f(a+2b)-f(a+b)}{b}\right]-\left[\frac{f(a+b)-f(a)}{b}\right] \ge 4\]

Let $g(a) = \frac{f(a+b) - f(a)}{b}$, which is the slope of the secant between $(a,f(a))(a+b,f(a+b))$. Let $b$ be arbitrarily small; then it follows that $g(a+b) - g(a) > 4$, $g(a+2b) - g(a+b) > 4,\, \cdots, g(a+kb) - g(a+ [k-1]b) > 4$. Summing these inequalities yields $g(a+kb)-g(a) > 4k$. As $k \rightarrow \infty$ (but $b << \frac{1}{k}$, so $bk < \epsilon$ is still arbitrarily small), we have $\lim_{k \rightarrow \infty} g(a+kb) - g(a) = g(a + \epsilon) - g(a) > \lim_{k \rightarrow \infty} 4k = \infty$. This implies that in the vicinity of any $a$, the function becomes vertical, which contradicts the definition of a function. Hence no very convex function exists.


Solution 2

Suppose, for the sake of contradiction, that there exists a very convex function $f.$ Notice that $f(x)$ is convex if and only if $f(x) + C$ is convex, where $C$ is a constant. Thus, we may set $f(0) = 0$ for convenience.

Suppose that $f(1) = A$ and $f(-1) = B.$ By the very convex condition, \[\frac{f(0) + f\left(2^{-n}\right)}{2} \ge f\left(2^{-(n+1)}\right) + \frac{1}{2^n}.\] A straightforward induction shows that: \[f\left(2^{-n}\right) \le \frac{A - 2n}{2^n}\] for all nonnegative integers $n.$ Using a similar line of reasoning as above, \[f\left(-2^{-n}\right) \le \frac{B - 2n}{2^n}.\] Therefore, for every nonnegative integer $n,$ \[f\left(2^{-n}\right) + f\left(-2^{-n}\right) \le \frac{A+B-4n}{2^n}.\] Now, we choose $n$ large enough such that $n > \frac{A+B}{4} - 1.$ This is always possible because $A$ and $B$ are fixed for any particular function $f.$ It follows that: \[f\left(2^{-n}\right) + f\left(-2^{-n}\right) < \frac{1}{2^{n-2}}.\] However, by the very convex condition, \[f\left(2^{-n}\right) + f\left(-2^{-n}\right) \ge \frac{1}{2^{n-2}}.\] This is a contradiction. It follows that no very convex function exists.

Solution 3

Define the symmetric average \[F(x, y) = \frac{f(x) + f(y)}{2}.\] Then the inequality becomes \[F(x, y) \ge f\left( \frac{x + y}{2} \right) + |x - y|.\]

Because $|x - y|$ is not differentiable along the line $x = y$, the surface defined by $F(x, y)$ must have a permanent kink along the diagonal. A kink is a sharp crease where the surface fails to have a well-defined tangent plane.

If f were a true function on $\mathbb{R}$ satisfying the inequality at all scales, then this kink would have to persist no matter how closely x and y are chosen. That means the graph of F never becomes smooth near the diagonal.

But every differentiable real-valued function f produces a smooth symmetric average F. Therefore, the presence of a permanent kink contradicts the assumption that f is differentiable at any scale. The kink cannot be removed by local smoothing.

Hence, the geometric shape of the inequality forces a kink that no function f can produce, so no function can be very convex.

~Lopkiloinm

See Also

2000 USAMO (ProblemsResources)
Preceded by
First Question
Followed by
Problem 2
1 2 3 4 5 6
All USAMO Problems and Solutions

These problems are copyrighted © by the Mathematical Association of America, as part of the American Mathematics Competitions. AMC Logo.png