Civil Rights
Movements, leaders, victories and the continuing fight for equality.
Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
In August 1908, a white mob attacked Springfield, Illinois’s Black community, destroying homes and businesses and lynching two Black men. National outrage over the violence helped spur the movement that created the NAACP the following year.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985

In complex analysis, a branch of mathematics, a holomorphic function is said to be of exponential type C if its growth is bounded by the exponential function for some real-valued constant as . When a function is bounded in this way, it is then possible to express it as certain kinds of convergent summations over a series of other complex functions, as well as understanding when it is possible to apply techniques such as Borel summation, or, for example, to apply the Mellin transform, or to perform approximations using the Euler–Maclaurin formula. The general case is handled by Nachbin's theorem, which defines the analogous notion of -type for a general function as opposed to .
A function defined on the complex plane is said to be of exponential type if there exist real-valued constants and such that
in the limit of . Here, the complex variable was written as to emphasize that the limit must hold in all directions . Letting stand for the infimum of all such , one then says that the function is of exponential type .
For example, let . Then one says that is of exponential type , since is the smallest number that bounds the growth of along the imaginary axis. So, for this example, Carlson's theorem cannot apply, as it requires functions of exponential type less than . Similarly, the Euler–Maclaurin formula cannot be applied either, as it, too, expresses a theorem ultimately anchored in the theory of finite differences.
A holomorphic function is said to be of exponential type if for every there exists a real-valued constant such that
for where . We say is of exponential type if is of exponential type for some . The number

is the exponential type of . The limit superior here means the limit of the supremum of the ratio outside a given radius as the radius goes to infinity. This is also the limit superior of the maximum of the ratio at a given radius as the radius goes to infinity. The limit superior may exist even if the maximum at radius does not have a limit as goes to infinity. For example, for the function
the value of
at is dominated by the n−1st term and this goes to zero as goes to infinity,[1] but is nevertheless of exponential type 1, as can be seen by looking at the points .
Stein (1957) has given a generalization of exponential type for entire functions of several complex variables. Suppose is a convex, compact, and symmetric subset of . It is known that for every such there is an associated norm with the property that
In other words, is the unit ball in with respect to . The set
is called the polar set and is also a convex, compact, and symmetric subset of . Furthermore, we can write
We extend from to by
An entire function of -complex variables is said to be of exponential type with respect to if for every there exists a real-valued constant such that
for all .
Collections of functions of exponential type can form a complete uniform space, namely a Fréchet space, by the topology induced by the countable family of norms
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In complex analysis, a branch of mathematics, a holomorphic function is said to be of exponential type C if its growth is bounded by the exponential function e C | z | {\displaystyle e^{C|z|}} for some real-valued constant C {\displaystyle C} as | z | → ∞ {\displaystyle |z|\to \infty } . When a function is bounded in this way, it is then possible to express it as certain kinds of convergent summations over a series of other complex functions, as well as understanding when it is possible to apply techniques such as Borel summation, or, for example, to apply the Mellin transform, or to perform approximations using the Euler–Maclaurin formula. The general case is handled by Nachbin's theorem, which defines the analogous notion of Ψ {\displaystyle \Psi } -type for a general function Ψ ( z ) {\displaystyle \Psi (z)} as opposed to e z {\displaystyle e^{z}} .
Exponential may refer to any of several mathematical topics related to exponentiation, including: Exponential function, also: Matrix exponential, the matrix analogue to the above Exponential decay, decrease at a rate proportional to value Exponential discounting, a specific form of the discount function, used in the analysis of choice over time Exponential growth, where the growth rate of a mathematical function is proportional to the function's current value Exponential map (Riemannian geometry), in Riemannian geometry Exponential map (Lie theory), in Lie theory Exponential notation, also known as scientific notation, or standard form Exponential object, in category theory Exponential time, in complexity theory in probability and statistics: Exponential distribution, a family of continuous probability distributions Exponentially modified Gaussian distribution, describes the sum of independent normal and exponential random variables Exponential family, a parametric set of probability distributions of a certain form Exponential smoothing, a technique that can be applied to time series data Exponential type Exponential type or function type, in type theory Exponential type in complex analysis Topics listed at list of exponential topics Exponential may also refer to: Exponential Technology, a vendor of PowerPC microprocessors
This is a list of exponential topics, by Wikipedia page. See also list of logarithm topics. Accelerating change Approximating natural exponents (log base e) Artin–Hasse exponential Bacterial growth Baker–Campbell–Hausdorff formula Barometric formula Beer–Lambert law Carlitz exponential Catenary Cell growth Characterizations of the exponential function Compound interest C0-semigroup De Moivre's formula Derivative of the exponential map Doléans-Dade exponential Double exponential function Doubling time e-folding Elimination half-life Error exponent Euler's formula Euler's identity e (mathematical constant) Exponent Exponent bias Exponential (disambiguation) Exponential backoff Exponential decay Exponential dichotomy Exponential discounting Exponential diophantine equation Exponential dispersion model Exponential distribution Exponential error Exponential factorial Exponential family Exponential field Ordered exponential field Exponential formula Exponential function Exponential generating function Exponential-Golomb coding Exponential growth Exponential hierarchy Exponential integral Exponential integrator Exponential map (Lie theory) Exponential map (Riemannian geometry) Exponential map (discrete dynamical systems) Exponential notation Exponential object (category theory) Exponential polynomials—see also Touchard polynomials (combinatorics) Exponential response formula Exponential sheaf sequence Exponential smoothing Exponential stability Exponential sum Exponential time Sub-exponential time Exponential tree Exponential type Exponentially equivalent measures Exponentiating by squaring Exponentiation Forgetting curve Four exponentials conjecture Fourier analysis List of Fourier analysis topics Gaussian function Gudermannian function Half-exponential function Half-life Hyperbolic function Inflation, inflation rate Interest Lambert W function Lifetime (physics) Limiting factor Lindemann–Weierstrass theorem List of integrals of exponential functions List of integrals of hyperbolic functions Lyapunov exponent Malthusian catastrophe Malthusian growth model Marshall–Olkin exponential distribution Matrix exponential Modular exponentiation Moore's law Nachbin's theorem Ordered exponential Piano key frequencies Plethystic exponential p-adic exponential function Power law Proof that e is irrational Proof that e is transcendental q-exponential Radioactive decay Rule of 70, Rule of 72 Schanuel's conjecture Scientific notation Six exponentials theorem Spontaneous emission Super-exponentiation Tetration Transseries Versor Weber–Fechner law Wilkie's theorem Zenzizenzizenzic
In probability theory and statistics, the Gumbel distribution (also known as the type-I generalized extreme value distribution) is used to model the distribution of the maximum (or the minimum) of a number of samples of various distributions. This distribution might be used to represent the distribution of the maximum level of a river in a particular year if there was a list of maximum values for the past ten years. It is useful in predicting the chance that an extreme earthquake, flood or other natural disaster will occur. The potential applicability of the Gumbel distribution to represent the distribution of maxima relates to extreme value theory, which indicates that it is likely to be useful if the distribution of the underlying sample data is of the normal or exponential type. The Gumbel distribution is a particular case of the generalized extreme value distribution (also known as the Fisher–Tippett distribution). It is also known as the log-Weibull distribution and the double exponential distribution (a term that is alternatively sometimes used to refer to the Laplace distribution). It is related to the Gompertz distribution: when its density is first reflected about the origin and then restricted to the positive half line, a Gompertz function is obtained. In the latent variable formulation of the multinomial logit model — common in discrete choice theory — the errors of the latent variables follow a Gumbel distribution. This is useful because the difference of two Gumbel-distributed random variables has a logistic distribution. The Gumbel distribution is named after Emil Julius Gumbel (1891–1966), based on his original papers describing the distribution.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Madam C.J. Walker