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polylog

Polylogarithm Li_s(z) and Debye Functions


Description

Compute the polylogarithm function Li_s(z), initially defined as the power series,

Li_s(z) = sum(k=1..Inf; z^k / k^s),

for |z| < 1, and then more generally (by analytic continuation) as

Li_1(z) = -log(1-z),

and

Li_{s+1}(z) = Int[0..z] (Li_s(t) / t) dt.

Currently, mainly the case of negative integer s is well supported, as that is used for some of the Archimedean copula densities.

For s = 2, Li_2(z) is also called ‘dilogarithm’ or “Spence's function”. The "default" method uses the dilog or complex_dilog function from package gsl, respectively when s = 2.

Also compute the Debye_n functions, for n=1 and n=2, in a slightly more general manner than the gsl package functions debye_1 and debye_2 (which cannot deal with non-finite x.)

Usage

polylog(z, s,
        method = c("default", "sum", "negI-s-Stirling",
                   "negI-s-Eulerian", "negI-s-asymp-w"),
        logarithm = FALSE, is.log.z = FALSE, is.logmlog = FALSE,
        asymp.w.order = 0, n.sum)

debye1(x)
debye2(x)

Arguments

z

numeric or complex vector

s

complex number; current implementation is aimed at s in (0,-1,...)

method

a string specifying the algorithm to be used.

logarithm

logical specified to return log(Li.(.)) instead of Li.(.)

is.log.z

logical; if TRUE, the specified z argument is really w = log(z); that is, we compute Li_s(exp(w)), and we typically have w < 0, or equivalently, z < 1.

is.logmlog

logical; if TRUE, the specified argument z is lw = log(-w) = log(-log(z)) (where as above, w = log(z)).

asymp.w.order

currently only default is implemented.

n.sum

for method="sum" only: the number of terms used.

x

numeric vector, may contain Inf, NA, and negative values.

Details

Almost entirely taken from https://en.wikipedia.org/wiki/Polylogarithm:

For integer values of the polylogarithm order, the following explicit expressions are obtained by repeated application of z * d/dz to Li_1(z):

Li_1(z) = -log(1-z), Li_0(z) = z / (1-z), Li_{-1}(z) = z / (1-z)^2, Li_{-2}(z) = z (1+z) / (1-z)^3,

Li_{-3}(z) = z (1+4z+z^2) / (1-z)^4, etc.

Accordingly, the polylogarithm reduces to a ratio of polynomials in z, and is therefore a rational function of z, for all nonpositive integer orders. The general case may be expressed as a finite sum:

Li_{-n}(z) = ( z d/dz )^n z/(1-z) = sum(k=0..n ; k! S(n+1,k+1) (z /(1-z))^(k+1)), (n=0,1,2,...),

where S(n,k) are the Stirling numbers of the second kind.

Equivalent formulae applicable to negative integer orders are (Wood 1992, § 6) ...

Li_{-n}(z) = 1/((1-z)^(n+1)) sum(k=0..(n-1); < n \ k > z^(n-k)) = = (z ∑_{k=0}^{n-1} < n \ k > z^k) / ((1-z)^(n+1)), (n=1,2,3,..),

where < n \ k > are the Eulerian numbers; see also Eulerian.

Value

numeric/complex vector as z, or x, respectively.

References

Wikipedia (2011) Polylogarithm, https://en.wikipedia.org/wiki/Polylogarithm.

Wood, D. C. (June 1992). The Computation of Polylogarithms. Technical Report 15-92. Canterbury, UK: University of Kent Computing Laboratory. https://www.cs.kent.ac.uk/pubs/1992/110/.

Apostol, T. M. (2010), "Polylogarithm", in the NIST Handbook of Mathematical Functions, https://dlmf.nist.gov/25.12

Lewin, L. (1981). Polylogarithms and Associated Functions. New York: North-Holland. ISBN 0-444-00550-1.

For Debye functions: Levin (1981) above, and
Wikipedia (2014) Debye function, https://en.wikipedia.org/wiki/Debye_function.

See Also

The polylogarithm is used in MLE for some Archimedean copulas; see emle;

The Debye functions are used for tau or rho computations of the Frank copula.

Examples

## The dilogarithm,  polylog(z, s = 2) = Li_2(.) -- mathmatically defined on C \ [1, Inf)
## so x -> 1 is a limit case:
polylog(z = 1, s = 2)
## in the limit, should be equal to
pi^2 / 6

## Default method uses  GSL's dilog():
rLi2 <- curve(polylog(x, 2), -5, 1, n= 1+ 6*64, col=2, lwd=2)
abline(c(0,1), h=0,v=0:1, lty=3, col="gray40")
## "sum" method gives the same for |z| < 1 and large number of terms:
ii <- which(abs(rLi2$x) < 1)
stopifnot(all.equal(rLi2$y[ii],
            polylog(rLi2$x[ii], 2, "sum", n.sum = 1e5),
          tolerance = 1e-15))


z1 <- c(0.95, 0.99, 0.995, 0.999, 0.9999)
L   <- polylog(         z1,  s=-3,method="negI-s-Euler") # close to Inf
LL  <- polylog(     log(z1), s=-3,method="negI-s-Euler",is.log.z=TRUE)
LLL <- polylog(log(-log(z1)),s=-3,method="negI-s-Euler",is.logmlog=TRUE)
all.equal(L, LL)
all.equal(L, LLL)

p.Li <- function(s.set, from = -2.6, to = 1/4, ylim = c(-1, 0.5),
                 colors = c("orange","brown", palette()), n = 201, ...)
{
    s.set <- sort(s.set, decreasing = TRUE)
    s <- s.set[1] # <_ for auto-ylab
    curve(polylog(x, s, method="negI-s-Stirling"), from, to,
          col=colors[1], ylim=ylim, n=n, ...)
    abline(h=0,v=0, col="gray")
    for(is in seq_along(s.set)[-1])
        curve(polylog(x, s=s.set[is], method="negI-s-Stirling"),
              add=TRUE, col = colors[is], n=n)
    s <- rev(s.set)
    legend("bottomright",paste("s =",s), col=colors[2-s], lty=1, bty="n")
}

## yellow is unbearable (on white):
palette(local({p <- palette(); p[p=="yellow"] <- "goldenrod"; p}))

## Wikipedia page plot (+/-):
p.Li(1:-3, ylim= c(-.8, 0.6), colors = c(2:4,6:7))

## and a bit more:
p.Li(1:-5)

## For the range we need it:
ccol <- c(NA,NA, rep(palette(),10))
p.Li(-1:-20, from=0, to=.99, colors=ccol, ylim = c(0, 10))
## log-y scale:
p.Li(-1:-20, from=0, to=.99, colors=ccol, ylim = c(.01, 1e7),
     log = "y", yaxt = "n")
if(require(sfsmisc)) eaxis(2) else axis(2)

copula

Multivariate Dependence with Copulas

v1.0-1
GPL (>= 3) | file LICENCE
Authors
Marius Hofert [aut] (<https://orcid.org/0000-0001-8009-4665>), Ivan Kojadinovic [aut] (<https://orcid.org/0000-0002-2903-1543>), Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>), Johanna G. Nešlehová [ctb] (evTestK(), <https://orcid.org/0000-0001-9634-4796>), Rebecca Morger [ctb] (fitCopula.ml(): code for free mixCopula weight parameters)
Initial release
2020-12-07

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