
Bessel Functions of integer and fractional order, of first
and second kind,
besselI(x, nu, expon.scaled = FALSE)
besselK(x, nu, expon.scaled = FALSE)
besselJ(x, nu)
besselY(x, nu)
numeric,
numeric; The order (maybe fractional and negative) of the corresponding Bessel function.
logical; if TRUE
, the results are
exponentially scaled in order to avoid overflow
(
Numeric vector with the (scaled, if 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.
If expon.scaled = TRUE
,
For besselK
which is symmetric in nu
.
The current algorithms will give warnings about accuracy loss for
large arguments. In some cases, these warnings are exaggerated, and
the precision is perfect. For large nu
, say in the order of
millions, the current algorithms are rarely useful.
Abramowitz, M. and Stegun, I. A. (1972). Handbook of Mathematical Functions. Dover, New York; Chapter 9: Bessel Functions of Integer Order.
In order of “Source” citation above:
Sockne, David J. (1973). Bessel Functions of Real Argument and Integer Order. Journal of Research of the National Bureau of Standards, 77B, 125--132.
Cody, William J. (1983). Algorithm 597: Sequence of modified Bessel functions of the first kind. ACM Transactions on Mathematical Software, 9(2), 242--245. 10.1145/357456.357462.
Campbell, J.B. (1980). On Temme's algorithm for the modified Bessel function of the third kind. ACM Transactions on Mathematical Software, 6(4), 581--586. 10.1145/355921.355928.
Campbell, J.B. (1979). Bessel functions J_nu(x) and Y_nu(x) of float order and float argument. Computer Physics Communications, 18, 133--142. 10.1016/0010-4655(79)90030-4.
Temme, Nico M. (1976). On the numerical evaluation of the ordinary Bessel function of the second kind. Journal of Computational Physics, 21, 343--350. 10.1016/0021-9991(76)90032-2.
Other special mathematical functions, such as
gamma
, beta
,
# NOT RUN {
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(-.5, 1)
plot(x, x, ylim = yl, ylab = "", type = "n",
main = "Bessel Functions J_nu(x)")
abline(h=0, v=0, lty=3)
for(nu in nus) lines(x, besselJ(x, nu = nu), col = nu + 2)
legend("topright", legend = paste("nu=", nus), col = nus + 2, lwd = 1, bty="n")
## Negative nu's --------------------------------------------------
xx <- 2:7
nu <- seq(-10, 9, length.out = 2001)
## --- I() --- --- --- ---
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=1:5)
## --- J() --- --- --- ---
bJ <- t(outer(xx, nu, besselJ))
matplot(nu, bJ, type = "l", ylim = c(-500, 200),
xlab = quote(nu), ylab = quote(J[nu](x)),
main = expression(paste("Bessel ", J[nu](x), " for fixed ", x)))
abline(v = 0, col = "light gray", lty = 3)
legend("topright", legend = paste("x=", xx), col=seq(xx), lty=1:5)
## ZOOM into right part:
matplot(nu[nu > -2], bJ[nu > -2,], type = "l",
xlab = quote(nu), ylab = quote(J[nu](x)),
main = expression(paste("Bessel ", J[nu](x), " for fixed ", x)))
abline(h=0, v = 0, col = "gray60", lty = 3)
legend("topright", legend = paste("x=", xx), col=seq(xx), lty=1:5)
##--------------- x --> 0 -----------------------------
x0 <- 2^seq(-16, 5, length.out=256)
plot(range(x0), c(1e-40, 1), log = "xy", xlab = "x", ylab = "", type = "n",
main = "Bessel Functions J_nu(x) near 0\n log - log scale") ; axis(2, at=1)
for(nu in sort(c(nus, nus+0.5)))
lines(x0, besselJ(x0, nu = nu), col = nu + 2, lty= 1+ (nu%%1 > 0))
legend("right", legend = paste("nu=", paste(nus, nus+0.5, sep=", ")),
col = nus + 2, lwd = 1, bty="n")
x0 <- 2^seq(-10, 8, length.out=256)
plot(range(x0), 10^c(-100, 80), log = "xy", xlab = "x", ylab = "", type = "n",
main = "Bessel Functions K_nu(x) near 0\n log - log scale") ; axis(2, at=1)
for(nu in sort(c(nus, nus+0.5)))
lines(x0, besselK(x0, nu = nu), col = nu + 2, lty= 1+ (nu%%1 > 0))
legend("topright", legend = paste("nu=", paste(nus, nus + 0.5, sep = ", ")),
col = nus + 2, lwd = 1, bty="n")
x <- x[x > 0]
plot(x, x, ylim = c(1e-18, 1e11), log = "y", ylab = "", type = "n",
main = "Bessel Functions K_nu(x)"); axis(2, at=1)
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)}))
# }
Run the code above in your browser using DataLab