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This binary operation is often read as "b to the power n"; it may also be called "b raised to the nth power", "the nth power of b", [2] or most briefly "b to the n". The above definition of b n {\displaystyle b^{n}} immediately implies several properties, in particular the multiplication rule: [ nb 1 ]
Nth degree, or nth degree, are two words expressing a number to a certain level. In the first word, 'Nth' or 'nth', is a word expressing a number, in two parts, 'n' and 'th', but where that number is not known, (hence the use of 'n') and a correlatory factoring, 'th', (exponential amplification, usually from four onwards (fourth, fifth)), is used to multiply the 'n' (number), to arrive at a ...
This is because raising the latter's coefficient –1 to the nth power for even n yields 1: that is, (–r 1) n = (–1) n × r 1 n = r 1 n. As with square roots, the formula above does not define a continuous function over the entire complex plane, but instead has a branch cut at points where θ / n is discontinuous.
A power mean serves a non-linear moving average which is shifted towards small signal values for small p and emphasizes big signal values for big p. Given an efficient implementation of a moving arithmetic mean called smooth one can implement a moving power mean according to the following Haskell code.
A power of two is a number of the form 2 n where n is an integer, that is, the result of exponentiation with number two as the base and integer ...
In algebraic number theory the n-th power residue symbol (for an integer n > 2) is a generalization of the (quadratic) Legendre symbol to n-th powers. These symbols are used in the statement and proof of cubic , quartic , Eisenstein , and related higher [ 1 ] reciprocity laws .
Exponentiation for a natural power is defined as iterated multiplication, which Knuth denoted by a single up-arrow: a ↑ b = H 3 ( a , b ) = a b = a × a × ⋯ × a ⏟ b copies of a {\displaystyle {\begin{matrix}a\uparrow b=H_{3}(a,b)=a^{b}=&\underbrace {a\times a\times \dots \times a} \\&b{\mbox{ copies of }}a\end{matrix}}}
The term hyperpower [4] is a natural combination of hyper and power, which aptly describes tetration. The problem lies in the meaning of hyper with respect to the hyperoperation sequence. When considering hyperoperations, the term hyper refers to all ranks, and the term super refers to rank 4, or tetration.