math

exponential function

exponential function — from formula anatomy
2 related articles · 5 formulas

Description

The exponential function, often written as exp(x) or e^x, is a mathematical function where the rate of growth is proportional to the current value. It is defined as the unique function that is its own derivative, with the base e (approximately 2.71828). This function appears throughout physics whenever a quantity changes at a rate proportional to itself, such as radioactive decay, population growth, or the cooling of a hot object.

History

The exponential function was introduced by Leonhard Euler in the 18th century, who also established the relationship e^(iπ) + 1 = 0, linking it to trigonometry and complex numbers.

How it works

The exponential function can be defined by the infinite series e^x = 1 + x + x^2/2! + x^3/3! + ..., which converges for all real and complex x. Its defining property, d/dx e^x = e^x, makes it the solution to the differential equation dy/dx = ky, where k is a constant. This equation models processes where the change rate is proportional to the amount present, leading to exponential growth (k>0) or decay (k<0).

In practice

Exponential functions are used in physics to describe radioactive decay, capacitor discharge, atmospheric pressure with altitude, and the time evolution of quantum states in the form of complex exponentials.

Fun fact

The exponential function is so important that it appears in the Schrödinger equation, where the time evolution of a quantum state is given by a complex exponential of the Hamiltonian.

Concept graph →

Formulas

$$\mathcal{L} = \prod_i \exp\left( -\frac{1}{2} \left[ \frac{f(x_i) - y_i}{\sigma_i} \right]^2 \right)$$
Probability of observed data given a model with Gaussian errors.
What is in the formula
f(x_i)variablemodel prediction at input x_i — function value
y_ivariableobserved data point — data value
σ_ivariablestandard deviation of measurement error — standard deviation
∏operatorProduct over all data points i — product operator
expoperatorExponential function — exponential function
$$\frac{N_i}{N} = \frac{g_i e^{-E_i/kT}}{Q}$$
Probability of a state in thermal equilibrium.
What is in the formula
N_ivariableNumber of particles in state i — particle number
NvariableTotal number of particles — particle number
g_ivariableDegeneracy of state i — degeneracy
E_ivariableEnergy of state i — energy joule
TvariableAbsolute temperature — temperature kelvin
kconstantRelates energy to temperature at the particle level — boltzmann constant = 1.380649e-23 joule per kelvin
e^{-E_i/kT}operatorExponential of the negative energy over kT — exponential function
$$k(x, x') = \sigma^2 \exp\left(-\frac{(x-x')^2}{2\ell^2}\right)$$
Gaussian covariance function for smoothness in Gaussian processes.
What is in the formula
xvariableinput point — input variable
x'variableanother input point — input variable
σvariablesignal amplitude — amplitude
ℓvariablelength scale — length scale
expoperatorraises e to the given power — exponential function
$$s(\zeta; a) = \frac{1}{1+\exp(-\zeta/a)}$$
Smooth approximation to the indicator function with steepness parameter.
What is in the formula
svariablesigmoid function value — sigmoid function
ζvariableinput argument — argument
avariablesteepness parameter — steepness parameter
expoperatorraises e to the given power — exponential function
$$P(v) = \sqrt{\frac{2}{\pi}} \frac{v^2}{\sigma^3} \exp\left(-\frac{v^2}{2\sigma^2}\right)$$
Probability distribution of speeds in an ideal gas.
What is in the formula
P(v)variableProbability density of speed v — probability density second per metre
vvariableSpeed of a particle — speed metre per second
σvariableScale parameter related to temperature — speed scale metre per second
expoperatorExponential function — exponential function
√operatorSquare root — square root

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