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E (mathematical constant)

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The mathematical constant *e* is a fundamental value that serves as the base for natural logarithms and exponential functions. It is approximately equal to 2.71828. Along with 0, 1, $\pi$, and $i$, it is considered one of the most important numbers in all of mathematics. The number is irrational, meaning it cannot be expressed as a ratio of two integers. It is also transcendental, which means it is not the root of any non-zero polynomial with rational coefficients.

One way to understand *e* is through the mechanism of continuous compound interest. Imagine an investment that grows at an annual interest rate of 100%. If the interest is added once a year, the total grows to 2. If it is added every six months, the amount grows to 2.25. If interest is added every month, the value approaches a specific limit. Jacob Bernoulli studied this in 1683 and found that as the number of compounding intervals increases toward infinity, the growth approaches *e*.

Compound Interest with Varying Frequencies
Compound Interest with Varying Frequencies

There are several distinct mathematical ways to define this constant. It is the limit of an expression used to calculate compound interest as the number of intervals becomes infinite. It can also be expressed as the sum of an infinite series: $1/0! + 1/1! + 1/2! + 1/3!$ and so on. Furthermore, *e* is the unique positive number that makes the slope of the function $y = e^x$ exactly 1 at the point where $x = 0$.

Exp derivative at 0
Exp derivative at 0

The history of *e* involves many famous mathematicians. The first references appeared in 1618 in a work on logarithms by John Napier, though the constant itself was not explicitly named. In 1661, Christiaan Huygens studied logarithms geometrically but did not recognize the constant as a unique entity. Jacob Bernoulli introduced the constant in 1683 while solving problems regarding continuous interest. Later, Gottfried Leibniz used the letter *e* in correspondence around 1690.

Ln+e
Ln+e

Leonhard Euler played a massive role in making *e* a standard mathematical tool. He began using the symbol *e* around 1727 and published it in his work *Mechanica* in 1736. Euler proved that *e* is the sum of an infinite series involving factorials. He also connected *e* to complex numbers through Euler's identity. This identity is a famous formula that links *e*, $i$, $\pi$, 1, and 0 in a single equation.

Area under rectangular hyperbola
Area under rectangular hyperbola

Beyond finance, *e* is vital in the study of probability and randomness. In Bernoulli trials, such as playing a slot machine with a one-in-*e* chance of winning, the probability of losing every single time approaches approximately 36.79% as the number of tries increases.

Bernoulli trial sequence
Bernoulli trial sequence

Another example is the "hat check problem," or derangements. This problem asks for the probability that no guest at a party receives their own hat when hats are returned at random. As the number of guests grows, this probability approaches $1/e$.

Finally, *e* is essential for describing growth and decay in the physical world. Exponential growth occurs when the rate of change of a quantity is proportional to the quantity itself. This describes many natural processes where things increase at an ever-accelerating rate. Conversely, exponential decay describes quantities that decrease over time. *e* also appears in the standard normal distribution, which is a fundamental concept in statistics used to model many natural phenomena.

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🖼️ Images & Media (8)
File:Hyperbola E.svg
Hyperbola E.svg
File:Compound Interest with Varying Frequencies.svg
Compound Interest with Varying Frequencies.svg
File:Bernoulli trial sequence.svg
Bernoulli trial sequence.svg
File:Exp derivative at 0.svg
Exp derivative at 0.svg
File:Ln+e.svg
Ln+e.svg
File:Area under rectangular hyperbola.svg
Area under rectangular hyperbola.svg
Exponentials vs x+1.pdf
File:Xth root of x.svg
Xth root of x.svg
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