We have n elements {x1,... , xn} we want to hash into a table T of size s = Let us consider the following method of hashing these n elements into T: 2п. For each i = 1, . п, do the following: 1. Pick a permutation of [1, ... , s] uniformly at random. Call this permutation T; : [s] → [s], which maps each index to the element which ends up in that index. 2. Set j = 1. 3. While T[T;(j)] has an element in it, increment j. 4. Place x; in T[T;(j)]. 1.1 Show that while inserting any xi, the probability that there are at least t iterations of the while loop in Step 3 is at most 2–t.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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We have n elements {x1, ..., xn} we want to hash into a table T of size s = 2n.
Let us consider the following method of hashing these n elements into T:
For each i = 1,..., n, do the following:
1. Pick a permutation of [1,..., s] uniformly at random. Call this permutation
T; : [s] → [s], which maps each index to the element which ends up in that
index.
2. Set j :
: 1.
3. While T[T;(j)] has an element in it, increment j.
4. Place x; in T[T;(j)].
1.1
Show that while inserting any ;, the probability that there are at least t iterations
of the while loop in Step 3 is at most 2-t.
Transcribed Image Text:We have n elements {x1, ..., xn} we want to hash into a table T of size s = 2n. Let us consider the following method of hashing these n elements into T: For each i = 1,..., n, do the following: 1. Pick a permutation of [1,..., s] uniformly at random. Call this permutation T; : [s] → [s], which maps each index to the element which ends up in that index. 2. Set j : : 1. 3. While T[T;(j)] has an element in it, increment j. 4. Place x; in T[T;(j)]. 1.1 Show that while inserting any ;, the probability that there are at least t iterations of the while loop in Step 3 is at most 2-t.
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