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Wright omega function
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In mathematics, the Wright omega function or Wright function,cite-ref-1[note 1] denoted Ο‰, is defined in terms of the Lambert W function as:

Ο‰ ( z ) = W ⌈ I m ( z ) βˆ’ Ο€ 2 Ο€ βŒ‰ ( e z ) . {\displaystyle \omega (z)=W_{{\big \lceil }{\frac {\mathrm {Im} (z)-\pi }{2\pi }}{\big \rceil }}(e^{z}).}

It is simpler to be defined by its inverse function

z ( Ο‰ ) = ln ⁑ ( Ο‰ ) + Ο‰ {\displaystyle z(\omega )=\ln(\omega )+\omega }

Contents

β€’ Uses
β€’ Properties
β€’ Values
β€’ Plots
β€’ Notes
β€’ References

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Uses

One of the main applications of this function is in the resolution of the equation z = ln(z), as the only solution is given by z = eβˆ’Ο‰(Ο€ i).

y = Ο‰(z) is the unique solution, when z β‰  x Β± i Ο€ {\displaystyle z\neq x\pm i\pi } for x ≀ βˆ’1, of the equation y + ln(y) = z. Except for those two values, the Wright omega function is continuous, even analytic.

Properties

The Wright omega function satisfies the relation W k ( z ) = Ο‰ ( ln ⁑ ( z ) + 2 Ο€ i k ) {\displaystyle W_{k}(z)=\omega (\ln(z)+2\pi ik)} .

It also satisfies the differential equation

d Ο‰ d z = Ο‰ 1 + Ο‰ {\displaystyle {\frac {d\omega }{dz}}={\frac {\omega }{1+\omega }}}

wherever Ο‰ is analytic (as can be seen by performing separation of variables and recovering the equation ln ⁑ ( Ο‰ ) + Ο‰ = z {\displaystyle \ln(\omega )+\omega =z} , and as a consequence its integral can be expressed as:

∫ Ο‰ n d z = { Ο‰ n + 1 βˆ’ 1 n + 1 + Ο‰ n n if n β‰  βˆ’ 1 , ln ⁑ ( Ο‰ ) βˆ’ 1 Ο‰ if n = βˆ’ 1. {\displaystyle \int \omega ^{n}\,dz={\begin{cases}{\frac {\omega ^{n+1}-1}{n+1}}+{\frac {\omega ^{n}}{n}}&{\mbox{if }}n\neq -1,\\\ln(\omega )-{\frac {1}{\omega }}&{\mbox{if }}n=-1.\end{cases}}}

Its Taylor series around the point a = Ο‰ a + ln ⁑ ( Ο‰ a ) {\displaystyle a=\omega _{a}+\ln(\omega _{a})} takes the form :

Ο‰ ( z ) = βˆ‘ n = 0 + ∞ q n ( Ο‰ a ) ( 1 + Ο‰ a ) 2 n βˆ’ 1 ( z βˆ’ a ) n n ! {\displaystyle \omega (z)=\sum _{n=0}^{+\infty }{\frac {q_{n}(\omega _{a})}{(1+\omega _{a})^{2n-1}}}{\frac {(z-a)^{n}}{n!}}}

where

q n ( w ) = βˆ‘ k = 0 n βˆ’ 1 ⟨ ⟨ n + 1 k ⟩ ⟩ ( βˆ’ 1 ) k w k + 1 {\displaystyle q_{n}(w)=\sum _{k=0}^{n-1}{\bigg \langle }\!\!{\bigg \langle }{\begin{matrix}n+1\\k\end{matrix}}{\bigg \rangle }\!\!{\bigg \rangle }(-1)^{k}w^{k+1}}

in which

⟨ ⟨ n k ⟩ ⟩ {\displaystyle {\bigg \langle }\!\!{\bigg \langle }{\begin{matrix}n\\k\end{matrix}}{\bigg \rangle }\!\!{\bigg \rangle }}


Values

Ο‰ ( 0 ) = W 0 ( 1 ) β‰ˆ 0.56714 Ο‰ ( 1 ) = 1 Ο‰ ( βˆ’ 1 Β± i Ο€ ) = βˆ’ 1 Ο‰ ( βˆ’ 1 3 + ln ⁑ ( 1 3 ) + i Ο€ ) = βˆ’ 1 3 Ο‰ ( βˆ’ 1 3 + ln ⁑ ( 1 3 ) βˆ’ i Ο€ ) = W βˆ’ 1 ( βˆ’ 1 3 e βˆ’ 1 3 ) β‰ˆ βˆ’ 2.237147028 {\displaystyle {\begin{array}{lll}\omega (0)&=W_{0}(1)&\approx 0.56714\\\omega (1)&=1&\\\omega (-1\pm i\pi )&=-1&\\\omega (-{\frac {1}{3}}+\ln \left({\frac {1}{3}}\right)+i\pi )&=-{\frac {1}{3}}&\\\omega (-{\frac {1}{3}}+\ln \left({\frac {1}{3}}\right)-i\pi )&=W_{-1}\left(-{\frac {1}{3}}e^{-{\frac {1}{3}}}\right)&\approx -2.237147028\\\end{array}}}

Plots

Notes

cite-note-1note 1. ↑ Not to be confused with the Fox–Wright function, also known as Wright function.

References

β€’ "The Wright Ο‰ function", Robert Corless and David Jeffrey