Concept

Polylogarithm

Summary
In mathematics, the polylogarithm (also known as Jonquière's function, for Alfred Jonquière) is a special function Li_s(z) of order s and argument z. Only for special values of s does the polylogarithm reduce to an elementary function such as the natural logarithm or a rational function. In quantum statistics, the polylogarithm function appears as the closed form of integrals of the Fermi–Dirac distribution and the Bose–Einstein distribution, and is also known as the Fermi–Dirac integral or the Bose–Einstein integral. In quantum electrodynamics, polylogarithms of positive integer order arise in the calculation of processes represented by higher-order Feynman diagrams. The polylogarithm function is equivalent to the Hurwitz zeta function — either function can be expressed in terms of the other — and both functions are special cases of the Lerch transcendent. Polylogarithms should not be confused with polylogarithmic functions, nor with the offset logarithmic integral Li(z), which has the same notation without the subscript. File:Complex polylogminus3.jpg|{{math|Li{{sub| -3}}(''z'')}} File:Complex polylogminus2.jpg|{{math|Li{{sub| -2}}(''z'')}} File:Complex polylogminus1.jpg|{{math|Li{{sub| -1}}(''z'')}} File:Complex polylog0.jpg|{{math|Li{{sub|0}}(''z'')}} File:Complex polylog1.jpg|{{math|Li{{sub|1}}(''z'')}} File:Complex polylog2.jpg|{{math|Li{{sub|2}}(''z'')}} File:Complex polylog3.jpg|{{math|Li{{sub|3}}(''z'')}} The polylogarithm function is defined by a power series in z, which is also a Dirichlet series in s: This definition is valid for arbitrary complex order s and for all complex arguments z with < 1; it can be extended to ≥ 1 by the process of analytic continuation. (Here the denominator k^s is understood as exp(s ln k)). The special case s = 1 involves the ordinary natural logarithm, Li_1(z) = −ln(1−z), while the special cases s = 2 and s = 3 are called the dilogarithm (also referred to as Spence's function) and trilogarithm respectively.
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.