Some time ago I stumbled across a problem from the Putnam Mathematical Competition. I could not find it, but I remember the text quite well.
There are two vectors: a=(10, $y$) and b=($x$,10), where $0 ≤ x ≤ 10$, and $0 ≤ y ≤ 10$. We have to compute the probability of these two vectors forming a parallelogram with an area A ≥ 50. The hint in the text is that the probability can be expressed as $$\ln(\sqrt a) + \frac{b}{c}$$ (where $a, b, c \in \mathbb{N}$; $b$ and $c$ are coprime and $a$ is as smaller as possible).
Here is a visual representation for the problem :
First, I calculated the area of the parallelogram: $A = ||\vec{a} \times \vec{b}|| = xy - 100$, which implies that $0 ≤ A ≤ 100$. We can write the inequality $A ≥ 50$ as $xy ≤ 50$.
If we assume that $y$ is a given (we could repeat this reasoning for $x$), then $x ≤ \frac{50}{y}$. If $y ≤ 5$ then all $x$ values $≤ 10$ are acceptable; therefore the probability of $A ≥ 50$ is at least $\frac{1}{2}$. When $y ≥ 5, x ≤ 50$; so when $y$ increases the portion of acceptable $x$ values decreases. I calculated $$\int_{5}^{10} \frac{50}{y} \cdot \frac{1}{10} \ dy$$ to count these values. The idea is that for every $y$ value greater than 5 the probability of $x$ values being less than $\frac{50}{y}$ is $\frac{\frac{50}{y}}{10}$, where 10 is the segment of all possible $x$ values. The integration yields $5 \ln (2)$. Using the law of total probability I wrote:
$$P(A \geq 50) = P(y < 5) \cdot P(A \geq 50 | y < 5) + P(y \geq 5) \cdot P(A \geq 50 | y > 5)$$
$$P(A \geq 50) = \frac{1}{2} \cdot 1 + \frac{1}{2} \cdot (5 \ln(2)) \approx 2.23.$$
But why is the probability greater than 1?