Dawson function

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In mathematics, the Carlson symmetric forms of elliptic integrals are a small canonical set of elliptic integrals to which all others may be reduced. They are a modern alternative to the Legendre forms. The Legendre forms may be expressed in terms of the Carlson forms and vice versa.

The Carlson elliptic integrals are:

RF(x,y,z)=120dt(t+x)(t+y)(t+z)
RJ(x,y,z,p)=320dt(t+p)(t+x)(t+y)(t+z)
RC(x,y)=RF(x,y,y)=120dt(t+y)(t+x)
RD(x,y,z)=RJ(x,y,z,z)=320dt(t+z)(t+x)(t+y)(t+z)

Since RC and RD are special cases of RF and RJ, all elliptic integrals can ultimately be evaluated in terms of just RF and RJ.

The term symmetric refers to the fact that in contrast to the Legendre forms, these functions are unchanged by the exchange of certain of their arguments. The value of RF(x,y,z) is the same for any permutation of its arguments, and the value of RJ(x,y,z,p) is the same for any permutation of its first three arguments.

The Carlson elliptic integrals are named after Bille C. Carlson.

Relation to the Legendre forms

Incomplete elliptic integrals

Incomplete elliptic integrals can be calculated easily using Carlson symmetric forms:

F(ϕ,k)=sinϕRF(cos2ϕ,1k2sin2ϕ,1)
E(ϕ,k)=sinϕRF(cos2ϕ,1k2sin2ϕ,1)13k2sin3ϕRD(cos2ϕ,1k2sin2ϕ,1)
Π(ϕ,n,k)=sinϕRF(cos2ϕ,1k2sin2ϕ,1)+13nsin3ϕRJ(cos2ϕ,1k2sin2ϕ,1,1nsin2ϕ)

(Note: the above are only valid for 0ϕ2π and 0k2sin2ϕ1)

Complete elliptic integrals

Complete elliptic integrals can be calculated by substituting φ = Template:Fracπ:

K(k)=RF(0,1k2,1)
E(k)=RF(0,1k2,1)13k2RD(0,1k2,1)
Π(n,k)=RF(0,1k2,1)+13nRJ(0,1k2,1,1n)

Special cases

When any two, or all three of the arguments of RF are the same, then a substitution of t+x=u renders the integrand rational. The integral can then be expressed in terms of elementary transcendental functions.

RC(x,y)=RF(x,y,y)=1201t+x(t+y)dt=x1u2x+ydu={arccosxyyx,x<y1y,x=yarccoshxyxy,x>y

Similarly, when at least two of the first three arguments of RJ are the same,

RJ(x,y,y,p)=3x1(u2x+y)(u2x+p)du={3py(RC(x,y)RC(x,p)),yp32(yx)(RC(x,y)1yx),y=px1y32,y=p=x

Properties

Homogeneity

By substituting in the integral definitions t=κu for any constant κ, it is found that

RF(κx,κy,κz)=κ1/2RF(x,y,z)
RJ(κx,κy,κz,κp)=κ3/2RJ(x,y,z,p)

Duplication theorem

RF(x,y,z)=2RF(x+λ,y+λ,z+λ)=RF(x+λ4,y+λ4,z+λ4),

where λ=xy+yz+zx.

RJ(x,y,z,p)=2RJ(x+λ,y+λ,z+λ,p+λ)+6RC(d2,d2+(px)(py)(pz))=14RJ(x+λ4,y+λ4,z+λ4,p+λ4)+6RC(d2,d2+(px)(py)(pz))

where d=(p+x)(p+y)(p+z) and λ=xy+yz+zx

Series Expansion

In obtaining a Taylor series expansion for RF or RJ it proves convenient to expand about the mean value of the several arguments. So for RF, letting the mean value of the arguments be A=(x+y+z)/3, and using homogeneity, define Δx, Δy and Δz by

RF(x,y,z)=RF(A(1Δx),A(1Δy),A(1Δz))=1ARF(1Δx,1Δy,1Δz)

that is Δx=1x/A etc. The differences Δx, Δy and Δz are defined with this sign (such that they are subtracted), in order to be in agreement with Carlson's papers. Since RF(x,y,z) is symmetric under permutation of x, y and z, it is also symmetric in the quantities Δx, Δy and Δz. It follows that both the integrand of RF and its integral can be expressed as functions of the elementary symmetric polynomials in Δx, Δy and Δz which are

E1=Δx+Δy+Δz=0
E2=ΔxΔy+ΔyΔz+ΔzΔx
E3=ΔxΔyΔz

Expressing the integrand in terms of these polynomials, performing a multidimensional Taylor expansion and integrating term-by-term...

RF(x,y,z)=12A01(t+1)3(t+1)2E1+(t+1)E2E3dt=12A0(1(t+1)32E22(t+1)72+E32(t+1)92+3E228(t+1)1123E2E34(t+1)132+O(E1)+O(Δ6))dt=1A(1110E2+114E3+124E22344E2E3+O(E1)+O(Δ6))

The advantage of expanding about the mean value of the arguments is now apparent; it reduces E1 identically to zero, and so eliminates all terms involving E1 - which otherwise would be the most numerous.

An ascending series for RJ may be found in a similar way. There is a slight difficulty because RJ is not fully symmetric; its dependence on its fourth argument, p, is different from its dependence on x, y and z. This is overcome by treating RJ as a fully symmetric function of five arguments, two of which happen to have the same value p. The mean value of the arguments is therefore take to be

A=x+y+z+2p5

and the differences Δx, Δy Δz and Δp defined by

RJ(x,y,z,p)=RJ(A(1Δx),A(1Δy),A(1Δz),A(1Δp))=1A32RJ(1Δx,1Δy,1Δz,1Δp)

The elementary symmetric polynomials in Δx, Δy, Δz, Δp and (again) Δp are in full

E1=Δx+Δy+Δz+2Δp=0
E2=ΔxΔy+ΔyΔz+2ΔzΔp+Δp2+2ΔpΔx+ΔxΔz+2ΔyΔp
E3=ΔzΔp2+ΔxΔp2+2ΔxΔyΔp+ΔxΔyΔz+2ΔyΔzΔp+ΔyΔp2+2ΔxΔzΔp
E4=ΔyΔzΔp2+ΔxΔzΔp2+ΔxΔyΔp2+2ΔxΔyΔzΔp
E5=ΔxΔyΔzΔp2

However, it is possible to simplify the formulae for E2, E3 and E4 using the fact that E1=0. Expressing the integrand in terms of these polynomials, performing a multidimensional Taylor expansion and integrating term-by-term as before...

RJ(x,y,z,p)=32A3201(t+1)5(t+1)4E1+(t+1)3E2(t+1)2E3+(t+1)E4E5dt=32A320(1(t+1)52E22(t+1)92+E32(t+1)112+3E224E48(t+1)132+2E53E2E34(t+1)152+O(E1)+O(Δ6))dt=1A32(1314E2+16E3+988E22322E4952E2E3+326E5+O(E1)+O(Δ6))

As with RJ, by expanding about the mean value of the arguments, more than half the terms (those involving E1) are eliminated.

Negative arguments

In general, the arguments x, y, z of Carlson's integrals may not be real and negative, as this would place a branch point on the path of integration, making the integral ambiguous. However, if the second argument of RC, or the fourth argument, p, of RJ is negative, then this results in a simple pole on the path of integration. In these cases the Cauchy principal value (finite part) of the integrals may be of interest; these are

p.v.RC(x,y)=xx+yRC(x+y,y),

and

p.v.RJ(x,y,z,p)=(qy)RJ(x,y,z,q)3RF(x,y,z)+3yRC(xz,pq)y+p=(qy)RJ(x,y,z,q)3RF(x,y,z)+3xyzxz+pqRC(xz+pq,pq)y+p

where

q=y+(zy)(yx)y+p.

which must be greater than zero for RJ(x,y,z,q) to be evaluated. This may be arranged by permuting x, y and z so that the value of y is between that of x and z.

Numerical evaluation

The duplication theorem can be used for a fast and robust evaluation of the Carlson symmetric form of elliptic integrals and therefore also for the evaluation of Legendre-form of elliptic integrals. Let us calculate RF(x,y,z): first, define x0=x, y0=y and z0=z. Then iterate the series

λn=xnyn+ynzn+znxn,
xn+1=xn+λn4,yn+1=yn+λn4,zn+1=zn+λn4

until the desired precision is reached: if x, y and z are non-negative, all of the series will converge quickly to a given value, say, μ. Therefore,

RF(x,y,z)=RF(μ,μ,μ)=μ1/2.

Evaluating RC(x,y) is much the same due to the relation

RC(x,y)=RF(x,y,y).

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