Fermat's little law

Finance and Economics 3239 10/07/2023 1056 Oliver

The Birthday Paradox and the Pigeonhole Principle The Birthday Paradox and the Pigeonhole Principle are two mathematical principles that are closely related. Both are related to statistics, probability, and combinatorics. The Birthday Paradox states that in a group of at least 23 randomly chosen ......

The Birthday Paradox and the Pigeonhole Principle

The Birthday Paradox and the Pigeonhole Principle are two mathematical principles that are closely related. Both are related to statistics, probability, and combinatorics. The Birthday Paradox states that in a group of at least 23 randomly chosen people, there is at least a 50% chance that two people will have the same birthday either in the same calendar year or a different one. The Pigeonhole Principle states that if n items are to be put into m containers, and n is greater than m, then at least one container will contain two or more items.

The Birthday Paradox is an example of a Pigeonhole Principle. Lets use the example of a group of 30 randomly chosen people. Here, there are 365 days in the year for each person in the group to have a unique birthday, and therefore we have 30 different pigeonholes and three hundred and sixty five different items (the days of the year). Since 30 is less than 365, this is a classic example of the Pigeonhole Principle. As such, at least two people in the group must have the same birthday, and the probability of this happening is exactly 50%.

This concept can be extended to include people in more than one calendar year. In this case, there can be 730 different items (the days of two calendar years combined) and if n (the number of people in the group) is greater than 730 then the Pigeonhole Principle will apply, and at least two people in the group may share the same birthday.

The Birthday Paradox is a counter-intuitive result with many applications in computer science. It can be used to measure the security of some cryptographic systems and can be used to demonstrate the unlikely nature of mathematical coincidences. It is also used to explain why lottery numbers are picked so as to avoid a combination of numbers that represent a persons birthday.

The Birthday Paradox also demonstrates how a small change can have a large effect. For example, if the group of 30 people is expanded to 43, the chance of two people having the same birthday increases to over 97%.

The Pigeonhole Principle is a more general concept. It is often used in mathematics, computer science, and many other fields. In the case of the Birthday Paradox, it is used to explain why two people might have the same birthday. This principle can also be used to explain why people must have enough different passwords for all their online accounts, or why it is unlikely to have a successful lottery ticket with six numbers that are all the same digits of a persons date of birth.

In conclusion, the Birthday Paradox and the Pigeonhole Principle are closely related mathematical concepts with many applications in mathematics, computer science, and other fields. The Birthday Paradox explains why two people in a group are likely to have the same birthday, while the Pigeonhole Principle is a more general concept about the limitations of putting items into containers. Together, these two principles can help us better understand the nature of probability and coincidence.

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Finance and Economics 3239 2023-07-10 1056 EchoFlow

The Birthday Paradox, known as the Birthday Problem or the Birthday Principle, is a well-known probability problem that has been around since the early 1900s. It was originally formulated as a puzzle in a 1959 Statistical Science article by physicist Frank Gastwirth, who asked the question If ther......

The Birthday Paradox, known as the Birthday Problem or the Birthday Principle, is a well-known probability problem that has been around since the early 1900s. It was originally formulated as a puzzle in a 1959 Statistical Science article by physicist Frank Gastwirth, who asked the question If there are enough people in a room, what is the probability that two of them have the same birthday?

The answer to this question is quite surprising. It turns out that even if there are only 23 people in a room, there is about a 50% chance that two of them will have the same birthday. This counter-intuitive result is known as the Birthday Paradox.

The Birthday Paradox is often used to illustrate the power of probability and is a great example of how even a seemingly improbable event can occur with surprising frequency. Mathematically, it is described by the so-called Birthday Problem or Birthday Principle. This principle states that given the number of people in the room (n), the probability that two of them will have the same birthday is related to the equation:

P(n) = 1 - (365 / 365) ^ nC2

Where nC2 is the number of combinations of two people out of a total of n people.

The Birthday Paradox is an important concept in etatistics that is has significance in a variety of fields. For example, the paradox is an important factor in cryptography, computer security, and online algorithms. It is also used in studies of genetics, population dynamics, and epidemiology, as well as in slot machines, game theory, and many other areas where probability is a factor.

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