% File src/library/base/man/Bessel.Rd % Part of the R package, http://www.R-project.org % Copyright 1995-2013 R Core Team % Distributed under GPL 2 or later \name{Bessel} \title{Bessel Functions} \alias{bessel} \alias{Bessel} \alias{besselI} \alias{besselJ} \alias{besselK} \alias{besselY} \usage{ besselI(x, nu, expon.scaled = FALSE) besselK(x, nu, expon.scaled = FALSE) besselJ(x, nu) besselY(x, nu) } \description{ Bessel Functions of integer and fractional order, of first and second kind, \eqn{J_{\nu}}{J(nu)} and \eqn{Y_{\nu}}{Y(nu)}, and Modified Bessel functions (of first and third kind), \eqn{I_{\nu}}{I(nu)} and \eqn{K_{\nu}}{K(nu)}. } \arguments{ \item{x}{numeric, \eqn{\ge 0}.} \item{nu}{numeric; The \emph{order} (maybe fractional!) of the corresponding Bessel function.} \item{expon.scaled}{logical; if \code{TRUE}, the results are exponentially scaled in order to avoid overflow (\eqn{I_{\nu}}{I(nu)}) or underflow (\eqn{K_{\nu}}{K(nu)}), respectively.} } \value{ Numeric vector with the (scaled, if \code{expon.scaled = TRUE}) values of the corresponding Bessel function. The length of the result is the maximum of the lengths of the parameters. All parameters are recycled to that length. } \details{ If \code{expon.scaled = TRUE}, \eqn{e^{-x} I_{\nu}(x)}{exp(-x) I(x;nu)}, or \eqn{e^{x} K_{\nu}(x)}{exp(x) K(x;nu)} are returned. For \eqn{\nu < 0}{nu < 0}, formulae 9.1.2 and 9.6.2 from Abramowitz & Stegun are applied (which is probably suboptimal), except for \code{besselK} which is symmetric in \code{nu}. } \source{ The C code is a translation of Fortran routines from \url{http://www.netlib.org/specfun/ribesl}, \samp{../rjbesl}, etc. } \references{ Abramowitz, M. and Stegun, I. A. (1972) \emph{Handbook of Mathematical Functions.} Dover, New York; Chapter 9: Bessel Functions of Integer Order. } \seealso{ Other special mathematical functions, such as \code{\link{gamma}}, \eqn{\Gamma(x)}, and \code{\link{beta}}, \eqn{B(x)}. } \author{ Original Fortran code: W. J. Cody, Argonne National Laboratory \cr Translation to C and adaption to \R: Martin Maechler \email{maechler@stat.math.ethz.ch}. } \examples{ require(graphics) nus <- c(0:5, 10, 20) x <- seq(0, 4, length.out = 501) plot(x, x, ylim = c(0, 6), ylab = "", type = "n", main = "Bessel Functions I_nu(x)") for(nu in nus) lines(x, besselI(x, nu = nu), col = nu + 2) legend(0, 6, legend = paste("nu=", nus), col = nus + 2, lwd = 1) x <- seq(0, 40, length.out = 801); yl <- c(-.8, .8) plot(x, x, ylim = yl, ylab = "", type = "n", main = "Bessel Functions J_nu(x)") for(nu in nus) lines(x, besselJ(x, nu = nu), col = nu + 2) legend(32, -.18, legend = paste("nu=", nus), col = nus + 2, lwd = 1) ## Negative nu's : xx <- 2:7 nu <- seq(-10, 9, length.out = 2001) op <- par(lab = c(16, 5, 7)) matplot(nu, t(outer(xx, nu, besselI)), type = "l", ylim = c(-50, 200), main = expression(paste("Bessel ", I[nu](x), " for fixed ", x, ", as ", f(nu))), xlab = expression(nu)) abline(v = 0, col = "light gray", lty = 3) legend(5, 200, legend = paste("x=", xx), col=seq(xx), lty=seq(xx)) par(op) x0 <- 2^(-20:10) plot(x0, x0^-8, log = "xy", ylab = "", type = "n", main = "Bessel Functions J_nu(x) near 0\n log - log scale") for(nu in sort(c(nus, nus+0.5))) lines(x0, besselJ(x0, nu = nu), col = nu + 2) legend(3, 1e50, legend = paste("nu=", paste(nus, nus+0.5, sep=",")), col = nus + 2, lwd = 1) plot(x0, x0^-8, log = "xy", ylab = "", type = "n", main = "Bessel Functions K_nu(x) near 0\n log - log scale") for(nu in sort(c(nus, nus+0.5))) lines(x0, besselK(x0, nu = nu), col = nu + 2) legend(3, 1e50, legend = paste("nu=", paste(nus, nus + 0.5, sep = ",")), col = nus + 2, lwd = 1) x <- x[x > 0] plot(x, x, ylim = c(1e-18, 1e11), log = "y", ylab = "", type = "n", main = "Bessel Functions K_nu(x)") for(nu in nus) lines(x, besselK(x, nu = nu), col = nu + 2) legend(0, 1e-5, legend=paste("nu=", nus), col = nus + 2, lwd = 1) yl <- c(-1.6, .6) plot(x, x, ylim = yl, ylab = "", type = "n", main = "Bessel Functions Y_nu(x)") for(nu in nus){ xx <- x[x > .6*nu] lines(xx, besselY(xx, nu=nu), col = nu+2) } legend(25, -.5, legend = paste("nu=", nus), col = nus+2, lwd = 1) ## negative nu in bessel_Y -- was bogus for a long time curve(besselY(x, -0.1), 0, 10, ylim = c(-3,1), ylab = "") for(nu in c(seq(-0.2, -2, by = -0.1))) curve(besselY(x, nu), add = TRUE) title(expression(besselY(x, nu) * " " * {nu == list(-0.1, -0.2, ..., -2)})) } \keyword{math}