Skip to main content
1 of 7
R B
  • 618
  • 3
  • 18

Reconstructing the number of distinct elements from a random projection

Assume we have an unknown sequence $x_1,\ldots, x_n\in \mathcal U$.

We get to observe the sequence $h(x_1),h(x_2),\ldots h(x_n)$, where $h:\mathcal U\to \{1,\ldots k\}$ is a random function such that for every $i\in \mathcal U$, $h(i)$ is uniformly distributed over $\{1,\ldots,k\}$ independently of all others.

Denote by $D$ the number of distinct elements in $x_1,\ldots, x_n$, and by $Z$ the number of distinct elements in $h(x_1),h(x_2),\ldots h(x_n)$.

Obviously, we always have $Z\leq D$.

What can we say about a lower bound for $Z$?

How can we find a good bound $L_{\delta}$ such that $\Pr[Z\ge C-L_\delta]\ge 1-\delta$?

(We can assume that $k=\omega(C)$).

R B
  • 618
  • 3
  • 18