Many other characterizations of the Bring radical have been developed, the first of which is in terms of "elliptic transcendents" (related to
elliptic and
modular functions) by
Charles Hermite in 1858, and further methods later developed by other mathematicians.
The Hermite–Kronecker–Brioschi characterization In 1858, Charles Hermite published the first known solution to the general quintic equation in terms of "elliptic transcendents", and at around the same time
Francesco Brioschi and
Leopold Kronecker came upon equivalent solutions. Hermite arrived at this solution by generalizing the well-known solution to the
cubic equation in terms of
trigonometric functions and finds the solution to a quintic in Bring–Jerrard form: x^5 - x + a = 0 into which any quintic equation may be reduced by means of Tschirnhaus transformations as has been shown. He observed that
elliptic functions had an analogous role to play in the solution of the Bring–Jerrard quintic as the trigonometric functions had for the cubic. For K and K', write them as the
complete elliptic integrals of the first kind: K(k) = \int_0^{\frac{\pi}{2}} \frac{d\varphi}{\sqrt{1-k^2 \sin^2\varphi}} K'(k) = \int_0^{\frac{\pi}{2}} \frac{d\varphi}{\sqrt{1-k'^2 \sin^2\varphi}} where k^2 + k'^2 = 1. Define the two "elliptic transcendents": \varphi(\tau) = \prod_{j=1}^\infty \tanh \frac{(2j-1)\pi i}{2\tau}=\sqrt{2}e^{\pi i\tau/8}\prod_{j=1}^\infty \frac{1+e^{2j\pi i\tau}}{1+e^{(2j-1)\pi i\tau}},\quad \operatorname{Im}\tau>0 \psi(\tau) = \prod_{j=1}^\infty \tanh \frac{(2j-1)\pi \tau}{2i},\quad\operatorname{Im}\tau>0 They can be equivalently defined by infinite series: \begin{align}\varphi(\tau)&=\sqrt{2}e^{\pi i\tau/8}\frac{\sum_{j\in\Z}e^{(2j^2+j)\pi i\tau}}{\sum_{j\in\Z}e^{j^2\pi i\tau}}\\ &=\sqrt{2}e^{\pi i\tau/8}(1-e^{\pi i\tau}+2e^{2\pi i\tau}-3e^{3\pi i\tau}+4e^{4\pi i\tau}-6e^{5\pi i\tau}+9e^{6\pi i\tau}-\cdots),\quad\operatorname{Im}\tau> 0\\ \psi(\tau)&=\frac{\sum_{j\in\Z}(-1)^j e^{2j^2\pi i\tau}}{\sum_{j\in\Z}e^{j^2\pi i\tau}}\\ &=1-2e^{\pi i\tau}+2e^{2\pi i\tau}-4e^{3\pi i\tau}+6e^{4\pi i\tau}-8e^{5\pi i\tau}+12e^{6\pi i\tau}-\cdots,\quad \operatorname{Im}\tau>0\end{align} If
n is a
prime number, we can define two values u and v as follows: u = \varphi(n\tau) and v = \varphi(\tau) When
n is an odd prime, the parameters u and v are linked by an equation of degree
n + 1 in u, \Omega_n(u,v)=0, known as the
modular equation, whose n+1 roots in u are given by: u=\varphi(n\tau) and u=\varepsilon (n)\varphi\left(\frac{\tau + 16m}{n}\right) where \varepsilon (n) is 1 or −1 depending on whether 2 is a
quadratic residue modulo n or not, respectively, and m\in\{0,1,\ldots,n-1\}. For
n = 5, we have the modular equation: \Omega_5(u,v) = 0 \iff u^6 - v^6 + 5u^2v^2(u^2-v^2)+4uv(1-u^4v^4)=0 with six roots in u as shown above. The modular equation with n=5 may be related to the Bring–Jerrard quintic by the following function of the six roots of the modular equation (In Hermite's ''Sur la théorie des équations modulaires et la résolution de l'équation du cinquième degré'', the first factor is incorrectly given as [\varphi(5\tau)+\varphi(\tau/5)]): \Phi(\tau) = \left[-\varphi(5\tau) - \varphi\left(\frac{\tau}{5}\right)\right]\left[\varphi\left(\frac{\tau+16}{5}\right) - \varphi\left(\frac{\tau + 64}{5}\right)\right]\left[\varphi\left(\frac{\tau+32}{5}\right) - \varphi\left(\frac{\tau + 48}{5}\right)\right] Alternatively, the formula \Phi (\tau)=2\sqrt{10}e^{3\pi i\tau/40}(1+e^{\pi i\tau/5}-e^{2\pi i\tau/5}+e^{3\pi i\tau/5}-8e^{\pi i\tau}-9e^{6\pi i\tau/5}+8e^{7\pi i\tau/5}-9e^{8\pi i\tau/5}+\cdots) is useful for numerical evaluation of \Phi (\tau). According to Hermite, the coefficient of e^{n\pi i\tau/5} in the expansion is zero for every n\equiv 4\,(\operatorname{mod}5). The five quantities \Phi(\tau), \Phi(\tau+16), \Phi(\tau+32), \Phi(\tau+48), \Phi(\tau+64) are the roots of a quintic equation with coefficients rational in \varphi(\tau): \Phi^5 - 2000\varphi^4(\tau)\psi^{16}(\tau)\Phi - 64\sqrt{5^5}\varphi^3(\tau)\psi^{16}(\tau) \left[1 + \varphi^8(\tau)\right] = 0 which may be readily converted into the Bring–Jerrard form by the substitution: \Phi = 2\sqrt[4]{125}\varphi(\tau)\psi^4(\tau)x leading to the Bring–Jerrard quintic: x^5 - x + a = 0 where {{NumBlk||a = -\frac{2[1 + \varphi^8(\tau)]}{\sqrt[4]{5^5}\varphi^2(\tau)\psi^4(\tau)}|}} The Hermite–Kronecker–Brioschi method then amounts to finding a value for \tau that corresponds to the value of a, and then using that value of \tau to obtain the roots of the corresponding modular equation. We can use
root finding algorithms to find \tau from the equation (i.e. compute a
partial inverse of a). Squaring (*) gives a quartic solely in \varphi^4(\tau) (using \varphi^8(\tau)+\psi^8(\tau)=1). Every solution (in \tau) of (*) is a solution of the quartic but not every solution of the quartic is a solution of (*). The roots of the Bring–Jerrard quintic are then given by: x_r = \frac{\Phi(\tau + 16r)}{2\sqrt[4]{125}\varphi(\tau)\psi^4(\tau)} for r = 0, \ldots, 4. An alternative, "integral", approach is the following: Consider x^5-x+a=0 where a\in\mathbb{C}\setminus\{0\}. Then \tau=i\frac{K'(k)}{K(k)} is a solution of a = s\frac{2[1+\varphi^8(\tau)]}{\sqrt[4]{5^5}\varphi^2(\tau)\psi^4(\tau)} where s = \begin{cases} -\operatorname{sgn}\operatorname{Im}a&\text{ if }\operatorname{Re}a=0\\ \operatorname{sgn}\operatorname{Re}a&\text{ if }\operatorname{Re}a\ne 0, \end{cases} A = \frac{a\sqrt[4]{5^5}}{2}. The roots of the equation are: k = \tan \frac{\alpha}{4}, \tan \frac{\alpha+2\pi}{4}, \tan \frac{\pi - \alpha}{4}, \tan \frac{3\pi - \alpha}{4} where \sin \alpha = 4/A^2 in 1984, who used
Siegel modular forms in place of the exponential/elliptic transcendents, and replaced the integral by a
hyperelliptic integral.
Glasser's derivation This derivation due to M. Lawrence Glasser generalizes the series method presented earlier in this article to find a solution to any
trinomial equation of the form: x^N - x + t=0 In particular, the quintic equation can be reduced to this form by the use of Tschirnhaus transformations as shown above. Let x = \zeta^{-\frac{1}{N-1}}\,, the general form becomes: \zeta = e^{2\pi i} + t\phi(\zeta) where \phi(\zeta) = \zeta^{\frac{N}{N-1}} A formula due to
Lagrange states that for any
analytic function f \,, in the neighborhood of a root of the transformed general equation in terms of \zeta \,, above may be expressed as an
infinite series: f(\zeta) = f(e^{2\pi i}) + \sum^\infty_{n=1} \frac{t^n}{n!}\frac{d^{n-1}}{da^{n-1}}[f'(a)|\phi(a)|^n]_{a = e^{2\pi i}} If we let f(\zeta) = \zeta^{-\frac{1}{N-1}}\, in this formula, we can come up with the root: x_k = e^{-\frac{2k\pi i}{N -1}} - \frac{t}{N-1}\sum^\infty_{n=0}\frac{(te^{\frac{2k\pi i}{N-1}})^n}{\Gamma(n + 2)}\cdot \frac{\Gamma\left(\frac{Nn}{N-1} + 1\right)}{\Gamma\left(\frac{n}{N-1} + 1\right)} k=1,2, 3, \dots , N-1 \, By the use of the
Gauss multiplication theorem the infinite series above may be broken up into a finite series of
hypergeometric functions: \psi_n(q) =\left(\frac{e^{\frac{2n\pi i}{N-1}} t}{N-1}\right)^q N^{\frac{qN}{N-1}}\frac{\prod_{k=0}^{N-1}\Gamma\left(\frac{q}{N-1} + \frac{1 + k}{N}\right)}{\Gamma\left(\frac{q}{N-1} + 1\right)\prod^{N-2}_{k=0}\Gamma\left(\frac{q+k+2}{N-1}\right)} =\left(\frac{te^{\frac{2n\pi i}{N-1}}}{N-1}\right)^q N^{\frac{qN}{N-1}}\prod_{k=2}^{N}\frac{\Gamma\left(\frac{q}{N-1}+\frac{k-1}{N}\right)}{\Gamma\left(\frac{q+k}{N-1}\right)} x_n = e^{-\frac{2n\pi i}{N-1}} - \frac{t}{(N-1)^2}\sqrt{\frac{N}{2\pi(N-1)}}\sum^{N-2}_{q=0}\psi_n(q)_{(N+1)}F_N \begin{bmatrix} \frac{qN+N-1}{N(N-1)}, \ldots, \frac{q+N-1}{N-1}, 1; \\[8pt] \frac{q+2}{N-1}, \ldots, \frac{q+N}{N-1}, \frac{q+N-1}{N-1}; \\[8pt] \left(\frac{te^{\frac{2n\pi i}{N-1}} }{N-1}\right)^{N-1}N^N \end{bmatrix},\quad n=1,2, 3, \dots , N-1 x_N = \sum_{m=1}^{N-1} \frac{t}{(N-1)^2}\sqrt{\frac{N}{2\pi(N-1)}}\sum^{N-2}_{q=0}\psi_m(q)_{(N+1)}F_N \begin{bmatrix} \frac{qN+N-1}{N(N-1)}, \ldots, \frac{q+N-1}{N-1}, 1; \\[8pt] \frac{q+2}{N-1}, \ldots, \frac{q+N}{N-1}, \frac{q+N-1}{N-1}; \\[8pt] \left(\frac{te^{\frac{2m\pi i}{N-1}} }{N-1}\right)^{N-1}N^N \end{bmatrix} and the trinomial of the form has roots ax^N+bx^2 + c=0,N\equiv 1\pmod{2} x_{N}=-\frac{a}{2b}\sqrt{\left(\frac{c}{b}\right)^{N-1}}{}_{N-1}F_{N-2} \begin{bmatrix} \frac{N+1}{2N},\frac{N+3}{2N},\cdots,\frac{N-2}{N},\frac{N-1}{N},\frac{N+1}{N},\frac{N+2}{N},\cdots,\frac{3N-3}{2N},\frac{3N-1}{2N};\\[8pt] \frac{N+1}{2N-4},\frac{N+3}{2N-4},\cdots,\frac{N-4}{N-2},\frac{N-3}{N-2},\frac{N-1}{N-2},\frac{N}{N-2},\cdots,\frac{3N-5}{2N-4},\frac{3}{2};\\[8pt] -\frac{a^2c^{N-2}}{4b^N\left(N-2\right)^{N-2}} \end{bmatrix} +\sqrt{\frac{c}{b}}i{}_{N-1}F_{N-2} \begin{bmatrix} \frac{1}{2N},\frac{3}{2N},\cdots,\frac{N-4}{2N},\frac{N-2}{2N},\frac{N+2}{2N},\frac{N+4}{2N},\cdots,\frac{2N-3}{2N},\frac{2N-1}{2N};\\[8pt] \frac{3}{2N-4},\frac{5}{2N-4},\cdots,\frac{2N-3}{2N-4};\\[8pt] -\frac{a^2c^{N-2}}{4b^N\left(N-2\right)^{N-2}} \end{bmatrix} x_{N-1}=-\frac{a}{2b}\sqrt{\left(\frac{c}{b}\right)^{N-1}}{}_{N-1}F_{N-2} \begin{bmatrix} \frac{N+1}{2N},\frac{N+3}{2N},\cdots,\frac{N-2}{N},\frac{N-1}{N},\frac{N+1}{N},\frac{N+2}{N},\cdots,\frac{3N-3}{2N},\frac{3N-1}{2N};\\[8pt] \frac{N+1}{2N-4},\frac{N+3}{2N-4},\cdots,\frac{N-4}{N-2},\frac{N-3}{N-2},\frac{N-1}{N-2}, \frac{N}{N-2},\cdots,\frac{3N-5}{2N-4},\frac{3}{2};\\[8pt] -\frac{a^2c^{N-2}}{4b^N\left(N-2\right)^{N-2}} \end{bmatrix} -\sqrt{\frac{c}{b}}i{}_{N-1}F_{N-2} \begin{bmatrix} \frac{1}{2N},\frac{3}{2N},\cdots,\frac{N-4}{2N},\frac{N-2}{2N},\frac{N+2}{2N},\frac{N+4}{2N},\cdots,\frac{2N-3}{2N},\frac{2N-1}{2N};\\[8pt] \frac{3}{2N-4},\frac{5}{2N-4},\cdots,\frac{2N-3}{2N-4};\\[8pt] -\frac{a^2c^{N-2}}{4b^N\left(N-2\right)^{N-2}} \end{bmatrix} \begin{align} x_n ={}& -e^{\frac{2n\pi i}{N-2}}\sqrt[N-2]{\frac{b}{a}}{}_{N-1}F_{N-2} \begin{bmatrix} -\frac{1}{N\left(N-2\right)},-\frac{1}{N\left(N-2\right)}+\frac{1}{N},-\frac{1}{N\left(N-2\right)}+\frac{2}{N},\cdots,-\frac{1}{N\left(N-2\right)}+\frac{1}{N},\frac{N-5}{2N},-\frac{1}{N\left(N-2\right)}+\frac{N-3}{2N},-\frac{1}{N\left(N-2\right)}+\frac{N+1}{2N},-\frac{1}{N\left(N-2\right)}+\frac{N+3}{2N},\cdots,-\frac{1}{N\left(N-2\right)}+\frac{N-1}{N},;\\[8pt] \frac{1}{N-2},\frac{2}{N-2},\cdots,\frac{2N-5}{2N-4},;\\[8pt] -\frac{a^2c^{N-2}}{4b^N\left(N-2\right)^{N-2}} \end{bmatrix}+ \\ &+\sqrt[N-2]{\frac{b}{a}}\sum^{N-3}_{q=1}\frac{\Gamma\left(\frac{2q-1}{N-2}+q\right)}{\Gamma\left(\frac{2q-1}{N-2}+1\right)}\cdot\left(-\frac{c}{b}\sqrt[N-2]{\frac{a^2}{b^2}}\right)^q\cdot\frac{e^{\frac{2n\left(1-2q\right)}{N-2}\pi i}}{q!}{}_{N-1}F_{N-2} \begin{bmatrix} \frac{Nq-1}{N\left(N-2\right)},\frac{Nq-1}{N\left(N-2\right)}+\frac{1}{N},\frac{Nq-1}{N\left(N-2\right)}+\frac{2}{N},\cdots,\frac{Nq-1}{N\left(N-2\right)}+\frac{N-3}{2N},\frac{Nq-1}{N\left(N-2\right)}+\frac{N+1}{2N},\cdots,\frac{Nq-1}{N\left(N-2\right)}+\frac{N-1}{N};\\[8pt] \frac{q+1}{N-2},\frac{q+2}{N-2},\cdots,\frac{N-4}{N-2},\frac{N-3}{N-2},\frac{N-1}{N-2},\frac{N}{N-2},\cdots,\frac{q+N-2}{N-2},\frac{2q+2N-5}{2N-4};\\[8pt] -\frac{a^2c^{N-2}}{4b^N\left(N-2\right)^{N-2}} \end{bmatrix},n=1,2,\cdots,N-2 \end{align} A root of the equation can thus be expressed as the sum of at most N-1 hypergeometric functions. Applying this method to the reduced Bring–Jerrard quintic, define the following functions: \begin{align} F_1(t) & = \,_4F_3\left(-\frac{1}{20}, \frac{3}{20}, \frac{7}{20}, \frac{11}{20}; \frac{1}{4}, \frac{1}{2}, \frac{3}{4}; \frac{3125t^4}{256}\right) \\[6pt] F_2(t) & = \,_4F_3\left(\frac{1}{5}, \frac{2}{5}, \frac{3}{5}, \frac{4}{5}; \frac{1}{2}, \frac{3}{4}, \frac{5}{4}; \frac{3125t^4}{256}\right) \\[6pt] F_3(t) & = \,_4F_3\left(\frac{9}{20}, \frac{13}{20}, \frac{17}{20}, \frac{21}{20}; \frac{3}{4}, \frac{5}{4}, \frac{3}{2}; \frac{3125t^4}{256}\right) \\[6pt] F_4(t) & = \,_4F_3\left(\frac{7}{10}, \frac{9}{10}, \frac{11}{10}, \frac{13}{10}; \frac{5}{4}, \frac{3}{2}, \frac{7}{4}; \frac{3125t^4}{256}\right) \end{align} which are the hypergeometric functions that appear in the series formula above. The roots of the quintic are thus: \begin{array}{rcrcccccc} x_1 & = & {} -tF_2(t) \\[1ex] x_2 & = & {} -F_1(t) & + & \frac{1}{4}tF_2(t) & + & \frac{5}{32}t^2F_3(t) & + & \frac{5}{32}t^3F_4(t)\\[1ex] x_3 & = & F_1(t) & + & \frac{1}{4}tF_2(t) & - & \frac{5}{32}t^2F_3(t) & + & \frac{5}{32}t^3F_4(t)\\[1ex] x_4 & = & {} -i F_1(t) & + & \frac{1}{4}tF_2(t) & - & \frac{5}{32}i t^2F_3(t) & - & \frac{5}{32}t^3F_4(t)\\[1ex] x_5 & = & i F_1(t) & + & \frac{1}{4}tF_2(t) & + & \frac{5}{32}i t^2F_3(t) & - & \frac{5}{32}t^3F_4(t) \\ \end{array} This is essentially the same result as that obtained by the following method.
The method of differential resolvents James Cockle and Robert Harley developed, in 1860, a method for solving the quintic by means of differential equations. They consider the roots as being functions of the coefficients, and calculate a differential resolvent based on these equations. The Bring–Jerrard quintic is expressed as a function: f(x) = x^5 - x + a and a function \,\phi(a)\, is to be determined such that: f[\phi(a)] = 0 The function \phi must also satisfy the following four differential equations: \begin{align} \frac{d f[\phi(a)]}{da} = 0 \\[6pt] \frac{d^2 f[\phi(a)]}{da^2} = 0 \\[6pt] \frac{d^3 f[\phi(a)]}{da^3} = 0 \\[6pt] \frac{d^4 f[\phi(a)]}{da^4} = 0 \end{align} Expanding these and combining them together yields the differential resolvent: \frac{(256 - 3125a^4)}{1155}\frac{d^4\phi}{da^4} - \frac{6250a^3}{231}\frac{d^3\phi}{da^3} - \frac{4875a^2}{77} \frac{d^2\phi}{da^2} - \frac{2125a}{77}\frac{d\phi}{da} + \phi = 0 The solution of the differential resolvent, being a fourth order
ordinary differential equation, depends on four
constants of integration, which should be chosen so as to satisfy the original quintic. This is a Fuchsian ordinary differential equation of hypergeometric type, whose solution turns out to be identical to the series of hypergeometric functions that arose in Glasser's derivation above. A general formula for differential resolvents of arbitrary univariate polynomials is given by
Nahay's powersum formula.
Doyle–McMullen iteration In 1989, Peter Doyle and
Curt McMullen derived an iteration method that solves a quintic in Brioschi normal form: x^5 - 10Cx^3 + 45C^2x - C^2 = 0. The iteration algorithm proceeds as follows: • Set Z = 1 - 1728C • Compute the rational function T_Z(w) = w - 12\frac{g(Z,w)}{g'(Z,w)} where g(Z,w) is a polynomial function given below, and g' is the
derivative of g(Z,w) with respect to w • Iterate T_Z[T_Z(w)] on a random starting guess until it converges. Call the
limit point w_1 and let w_2 = T_Z(w_1)\,. • Compute \mu_i = \frac{100Z(Z-1)h(Z,w_i)}{g(Z, w_i)} where h(Z,w) is a polynomial function given below. Do this for both w_1\, and w_2 = T_Z(w_1)\,. • Finally, compute x_i = \frac{(9 + \sqrt{15}i) \mu_i + (9 - \sqrt{15}i)\mu_{3-i}}{90} for . These are two of the roots of the Brioschi quintic. The two polynomial functions g(Z,w)\, and h(Z,w)\, are as follows: \begin{align} g(Z,w) = {} & 91125Z^6 \\ & {} + (-133650w^2 + 61560w - 193536)Z^5 \\ & {} + (-66825w^4 + 142560w^3 + 133056w^2 - 61140w + 102400)Z^4 \\ & {} + (5940w^6 + 4752w^5 + 63360w^4 - 140800w^3)Z^3 \\ & {} + (-1485w^8 + 3168w^7 - 10560w^6)Z^2 \\ & {} + (-66w^{10} + 440w^9)Z \\ & {} + w^{12} \\[8pt] h(Z,w) = {} & (1215w - 648)Z^4 \\ & {} + (-540w^3 - 216w^2 - 1152w + 640)Z^3 \\ & {} + (378w^5 - 504w^4 + 960w^3)Z^2 \\ & {} + (36w^7 - 168w^6)Z \\ & {} + w^9 \end{align} This iteration method produces two roots of the quintic. The remaining three roots can be obtained by using
synthetic division to divide the two roots out, producing a cubic equation. Due to the way the iteration is formulated, this method seems to always find two
complex conjugate roots of the quintic even when all the quintic coefficients are real and the starting guess is real. This iteration method is derived from the symmetries of the
icosahedron and is closely related to the method Felix Klein describes in his book. ==See also==