Bessel                 package:base                 R Documentation

_B_e_s_s_e_l _F_u_n_c_t_i_o_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     Bessel Functions of integer and fractional order, of first and
     second kind, J(nu) and Y(nu), and Modified Bessel functions (of
     first and third kind), I(nu) and K(nu). 

     'gammaCody' is the (Gamma) function as from the Specfun package
     and originally used in the Bessel code.

_U_s_a_g_e:

     besselI(x, nu, expon.scaled = FALSE)
     besselK(x, nu, expon.scaled = FALSE)
     besselJ(x, nu)
     besselY(x, nu)
     gammaCody(x)

_A_r_g_u_m_e_n_t_s:

       x: numeric, >= 0.

      nu: numeric; The _order_ (maybe fractional!) of the corresponding
          Bessel function.

expon.scaled: logical; if 'TRUE', the results are exponentially scaled
          in order to avoid overflow (I(nu)) or underflow (K(nu)),
          respectively.

_D_e_t_a_i_l_s:

     The underlying C code stems from _Netlib_ (<URL:
     http://www.netlib.org/specfun/r[ijky]besl>).

     If 'expon.scaled = TRUE', exp(-x) I(x;nu), or exp(x) K(x;nu) are
     returned.

     'gammaCody' may be somewhat faster but less precise and/or robust
     than R's standard 'gamma'.  It is here for experimental purpose
     mainly, and _may be defunct very soon_.

     For nu < 0, formulae 9.1.2 and 9.6.2 from the reference below are
     applied (which is probably suboptimal), unless for 'besselK' which
     is symmetric in 'nu'.

_V_a_l_u_e:

     Numeric vector of the same length of 'x' with the (scaled, if
     'expon.scale=TRUE') values of the corresponding Bessel function.

_A_u_t_h_o_r(_s):

     Original Fortran code: W. J. Cody, Argonne National Laboratory 
      Translation to C and adaption to R: Martin Maechler
     maechler@stat.math.ethz.ch.

_R_e_f_e_r_e_n_c_e_s:

     Abramowitz, M. and Stegun, I. A. (1972) _Handbook of Mathematical
     Functions._ Dover, New York; Chapter 9: Bessel Functions of
     Integer Order.

_S_e_e _A_l_s_o:

     Other special mathematical functions, such as 'gamma', Gamma(x),
     and 'beta', B(x).

_E_x_a_m_p_l_e_s:

     nus <- c(0:5, 10, 20)

     x <- seq(0, 4, len = 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, len=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, len = 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+.5)))
         lines(x0, besselJ(x0, nu=nu), col = nu+2)
     legend(3, 1e50, legend = paste("nu=", paste(nus, nus+.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+.5)))
         lines(x0, besselK(x0, nu=nu), col = nu+2)
     legend(3, 1e50, legend = paste("nu=", paste(nus, nus+.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)

