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Digamma function. In mathematics, the digamma function is defined as the logarithmic derivative of the gamma function: [ 1][ 2][ 3] It is the first of the polygamma functions. This function is strictly increasing and strictly concave on , [ 4] and it asymptotically behaves as [ 5] for complex numbers with large modulus ( ) in the sector with ...
In 1929, Carl Ludwig Siegel proved that J ν (x), J ' ν (x), and the logarithmic derivative J' ν (x) / J ν (x) are transcendental numbers when ν is rational and x is algebraic and nonzero. [51] The same proof also implies that K ν (x) is transcendental under the same assumptions. [52]
Definitions. For real non-zero values of x, the exponential integral Ei ( x) is defined as. The Risch algorithm shows that Ei is not an elementary function. The definition above can be used for positive values of x, but the integral has to be understood in terms of the Cauchy principal value due to the singularity of the integrand at zero. For ...
In statistics, the Q-function is the tail distribution function of the standard normal distribution. [ 1][ 2] In other words, is the probability that a normal (Gaussian) random variable will obtain a value larger than standard deviations. Equivalently, is the probability that a standard normal random variable takes a value larger than .
One proof of the chain rule begins by defining the derivative of the composite function f ∘ g, where we take the limit of the difference quotient for f ∘ g as x approaches a: ′ = (()) (()). Assume for the moment that g ( x ) {\displaystyle g(x)\!} does not equal g ( a ) {\displaystyle g(a)} for any x {\displaystyle x} near a ...
The derivative of the function at a point is the slope of the line tangent to the curve at the point. Slope of the constant function is zero, because the tangent line to the constant function is horizontal and its angle is zero. In other words, the value of the constant function, y, will not change as the value of x increases or decreases.
Divided differences. In mathematics, divided differences is an algorithm, historically used for computing tables of logarithms and trigonometric functions. [citation needed] Charles Babbage 's difference engine, an early mechanical calculator, was designed to use this algorithm in its operation. [ 1]
The cumulative distribution function of a real-valued random variable is the function given by [ 2]: p. 77. (Eq.1) where the right-hand side represents the probability that the random variable takes on a value less than or equal to . The probability that lies in the semi-closed interval , where , is therefore [ 2]: p. 84.
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