Problem on Probability -- Hash Table & Collisions

In summary: So probability should be ##1 \times \frac{1}{n-1} \times \frac{1}{n-2} \times ... \times \frac{1}{n-(k-2)} \times \frac{k-1}{n}## In summary, the probability of bucket number 1 being empty after the ##K^{th}## insertion is ##(\frac{n-1}{n})^k##, the probability of no collisions occurring in any of the ##K## insertions is ##1 \times \frac{1}{n-1} \times \frac{1}{n-2} \times ... \times \frac{1}{n-(k-1)}##,
  • #1
22990atinesh
143
1

Homework Statement


Consider a hash table with ##n## buckets, where external (overflow) chaining is used to resolve collisions. The hash function is such that the probability that a key value is hashed to a particular bucket is ##\frac{1}{n}##. The hash table is initially empty and ##K## distinct values are inserted in the table

(a) What is the probability that bucket number 1 is empty after the the ##K^{th}## insertion ?
(b) What is the probability that no collision has occurred in any of the ##K## insertions ?
(c) What is the probability that the first collision occurs at the ##K^{th}## insertions ?

Homework Equations

The Attempt at a Solution


Probability that a key value is hashed to the first bucket = ##\frac{1}{n}##
Probability that a key value is doesn't hashed to the first bucket = ##1 - \frac{1}{n}## = ##\frac{n-1}{n}##

(a) Probability that bucket number 1 is empty after the the ##K^{th}## insertion = ##(\frac{n-1}{n})^k##
(b) Probability that no collision has occurred in any of the ##K## insertions = ##1 \times \frac{1}{n-1} \times \frac{1}{n-2} \times ... \times \frac{1}{n-(k-1)}##
(c) Probability that the first collision occurs at the ##K^{th}## insertions = ##1 \times \frac{1}{n-1} \times \frac{1}{n-2} \times ... \times \frac{1}{n-(k-2)} \times \frac{1}{k-1}##

are my above ans correct or I've done some mistake. Please share
 
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  • #2
Where does the last factor at (c) come from?
Everything else looks right.
 
  • #3
mfb said:
Where does the last factor at (c) come from?
Everything else looks right.

Probability that no collision has occurred in any of the ##K-1## insertions P(K-1)= ##1 \times \frac{1}{n-1} \times \frac{1}{n-2} \times ... \times \frac{1}{n-(k-2)}##
Probability that the first collision occurs at the ##K^{th}## insertions = ## P(K-1) \times## Probability of collision of ##K^{th}## element
As K-1 slots are filled, first collision will occur if ##K^{th}## element will get into these slot, It'll do it with probability = ##\frac{1}{k-1}##
Hence
Probability that the first collision occurs at the ##K^{th}## insertions = ##1 \times \frac{1}{n-1} \times \frac{1}{n-2} \times ... \times \frac{1}{n-(k-2)} \times \frac{1}{k-1}##
 
  • #4
22990atinesh said:
As K-1 slots are filled, first collision will occur if ##K^{th}## element will get into these slot, It'll do it with probability = ##\frac{1}{k-1}##
No it does not.
If 2 out of 100 slots are filled, then the next element won't go to a filled slot with a probability of 1/(3-1)=1/2.
 
  • #5
mfb said:
No it does not.
If 2 out of 100 slots are filled, then the next element won't go to a filled slot with a probability of 1/(3-1)=1/2.

Would it be ##\frac{k}{n}## in place of ##\frac{1}{k-1}## in (c)
 
  • #6
Nearly. The numerator should be k-1.
 
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Likes 22990atinesh
  • #7
mfb said:
Nearly. The numerator should be k-1.
Oops little mistake, you are right. ##\frac{k-1}{n}## is right.
 

1. What is a hash table and how does it work?

A hash table is a data structure that is used to store and retrieve data in an efficient way. It is essentially an array of buckets, where each bucket can hold one or more key-value pairs. The hash table uses a hashing function to map each key to a specific index in the array, making it easy to retrieve the value associated with that key.

2. What are collisions in a hash table and how are they handled?

Collisions occur when two or more keys are mapped to the same index in the hash table. This can happen due to the limited number of indexes in the array or due to the nature of the hashing function. Collisions are typically handled by using a technique called chaining, where each bucket in the hash table contains a linked list of key-value pairs. When a collision occurs, the new key-value pair is added to the end of the linked list in that bucket.

3. How do you calculate the load factor of a hash table?

The load factor of a hash table is the ratio of the number of elements in the table to the total number of buckets. It can be calculated by dividing the number of elements by the number of buckets. A high load factor can lead to more collisions and decrease the efficiency of the hash table, so it is important to regularly resize the table to maintain a low load factor.

4. Can you explain the concept of a perfect hash function?

A perfect hash function is one that maps each key to a unique index in the hash table, without any collisions. This results in a highly efficient hash table as there is no need for chaining or any other collision resolution techniques. However, finding a perfect hash function for a given set of keys can be a difficult and time-consuming task.

5. How do you handle resizing a hash table?

Resizing a hash table is necessary to maintain a low load factor and ensure efficient performance. When the load factor exceeds a certain threshold, the hash table is resized by creating a new, larger array and rehashing all the elements from the original table into the new one. This process can be time-consuming and should be done carefully to avoid any data loss or collisions.

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