Exposition · Mathematics

Operator Inversion and Bauer's Series

A proof of an alternating hypergeometric series evaluation, centered on an algorithmic inversion between two related differential equations.

Published August 10, 2026 · Updated August 14, 2026 · 5 min read

PDF

The problem came from a post by Daniel Ángeles on X. The proposed series was

n=04n+1(2n1)2(n+1)2((2n1)!!(2n)!!)3(1)n=83π.\sum_{n=0}^{\infty} \frac{4n+1}{(2n-1)^2(n+1)^2} \left(\frac{(2n-1)!!}{(2n)!!}\right)^3(-1)^n = \frac{8}{3\pi}.

The PDF linked above gives the full proof. Here I concentrate on the operator computation behind it.

I evaluated the series first and only later recognized an intermediate expression as Bauer’s series:

B=n=0(4n+1)((2n1)!!(2n)!!)3(1)n=2π.\mathcal B =\sum_{n=0}^{\infty}(4n+1) \left(\frac{(2n-1)!!}{(2n)!!}\right)^3(-1)^n =\frac{2}{\pi}.

The operator calculation below shows that the original sum is a rational multiple of B\mathcal B:

F(1)=43B.F(-1)=\frac{4}{3}\mathcal B.

The Reduction

Let fnf_n denote the coefficient of znz^n in

F(z)=n=04n+1(2n1)2(n+1)2((2n1)!!(2n)!!)3zn.F(z)=\sum_{n=0}^{\infty} \frac{4n+1}{(2n-1)^2(n+1)^2} \left(\frac{(2n-1)!!}{(2n)!!}\right)^3z^n.

Using (2n1)!!(2n)!!=4n(2nn)\frac{(2n-1)!!}{(2n)!!}=4^{-n}\binom{2n}{n}, its consecutive coefficients satisfy

fn+1fn=(n+54)(n12)2(n+12)(n+14)(n+2)2(n+1).\frac{f_{n+1}}{f_n} =\frac{(n+\frac54)(n-\frac12)^2(n+\frac12)} {(n+\frac14)(n+2)^2(n+1)}.

Since f0=1f_0=1, this identifies FF as

F(z)=4F3(54,12,12,1214,2,2;z).F(z)={}_4F_3\left( \begin{matrix} \frac54,-\frac12,-\frac12,\frac12\\ \frac14,2,2 \end{matrix};z\right).

Set θ=zddz\theta=z\frac{d}{dz} and

G(z)=3F2(12,12,122,2;z).G(z)={}_3F_2\left( \begin{matrix} -\frac12,-\frac12,\frac12\\ 2,2 \end{matrix};z\right).

The quotient (54)n/(14)n(\frac54)_n/(\frac14)_n is 4n+14n+1, so

F=(4θ+1)G.F=(4\theta+1)G.

For the operator calculation, let

H(z)=3F2(12,12,121,1;z).H(z)={}_3F_2\left( \begin{matrix} \frac12,\frac12,\frac12\\ 1,1 \end{matrix};z\right).

If G(z)=gnznG(z)=\sum g_nz^n and H(z)=hnznH(z)=\sum h_nz^n, then

hngn=(2)n2(12)n2(1)n2(12)n2=(n+1)2(2n1)2.\frac{h_n}{g_n} =\frac{(2)_n^2(\frac12)_n^2}{(1)_n^2(-\frac12)_n^2} =(n+1)^2(2n-1)^2.

Since θzn=nzn\theta z^n=nz^n, this coefficient identity may be written

H=BG,B=(2θ1)2(θ+1)2.H=BG, \qquad B=(2\theta-1)^2(\theta+1)^2.

The standard hypergeometric differential equation

[(θ+1)2θz(θ+12)(θ12)2]G=0.\left[(\theta+1)^2\theta -z\left(\theta+\frac12\right) \left(\theta-\frac12\right)^2\right]G=0.

expands to AG=0AG=0, where

A=(1z)θ3+4+z2θ2+4+z4θz8.A=(1-z)\theta^3+\frac{4+z}{2}\theta^2 +\frac{4+z}{4}\theta-\frac z8.

Inverting BB Modulo AA

A Commutative Analogy

This example is not used in the proof. It isolates the inversion that will be needed below.

Consider the matrix

M=(0111),M2+M+I=0.M=\begin{pmatrix}0&-1\\1&-1\end{pmatrix}, \qquad M^2+M+I=0.

Suppose yy is unknown and only

h=(M+I)yh=(M+I)y

is known. The task is to recover yy using the polynomial equation satisfied by MM.

Set

a(x)=x2+x+1,b(x)=x+1.a(x)=x^2+x+1, \qquad b(x)=x+1.

Then a(M)=0a(M)=0 and h=b(M)yh=b(M)y. In Q[x]\mathbb Q[x],

a(x)xb(x)=1,a(x)-xb(x)=1,

so b(x)1x(moda(x))b(x)^{-1}\equiv-x\pmod{a(x)}. Evaluating the identity at MM gives

a(M)Mb(M)=I.a(M)-Mb(M)=I.

Since a(M)=0a(M)=0 and b(M)y=hb(M)y=h,

y=Mh.y=-Mh.

All the operators in this example are polynomials in the same matrix MM, so they commute.

The Operator Computation

In the proof, AG=0AG=0 and H=BGH=BG play the roles of a(M)y=0a(M)y=0 and h=b(M)yh=b(M)y. The coefficients of AA and BB now depend on zz, and θ\theta does not commute with them. I applied the extended Euclidean algorithm in the Ore ring

R=Q(z)θ,θf=fθ+zf(z),\mathcal R=\mathbb Q(z)\langle\theta\rangle, \qquad \theta f=f\theta+zf'(z),

writing coefficients to the left of the powers of θ\theta. If δf=zf(z)\delta f=zf'(z), multiplication is determined by

(aθm)(bθn)=ar=0m(mr)δr(b)θm+nr.(a\theta^m)(b\theta^n) =a\sum_{r=0}^{m}\binom{m}{r}\delta^r(b)\theta^{m+n-r}.

Right division is taken to mean

P=SQ+R,degθR<degθQ.P=SQ+R, \qquad \deg_\theta R<\deg_\theta Q.

The divisor QQ occurs on the right of the quotient SS. With the arguments in the order (B,A)(B,A), the extended algorithm computes operators U,VU,V and a rational function gg satisfying

VB+UA=g(z).VB+UA=g(z).
S.<z> = QQ['z']
R = S.fraction_field()
delta = (z * S.derivation()).extend_to_fraction_field()
Ore.<theta> = R['theta', delta]

A = (
    (1 - z)*theta^3
    + (4 + z)/2*theta^2
    + (4 + z)/4*theta
    - z/8
)
B = (2*theta - 1)^2*(theta + 1)^2

def right_xgcd(P, Q):
    r0, r1 = P, Q
    u0, u1 = Ore.one(), Ore.zero()
    v0, v1 = Ore.zero(), Ore.one()
    while r1:
        q, r = r0.right_quo_rem(r1)
        r0, r1 = r1, r
        u0, u1 = u1, u0 - q*u1
        v0, v1 = v1, v0 - q*v1
    return r0, u0, v0

def print_factored(name, op):
    print(f"{name} =")
    for i in reversed(range(op.degree() + 1)):
        c = op[i]
        if c:
            print(f"  theta^{i}: {factor(c)}")

g, V, U = right_xgcd(B, A)   # V*B + U*A = g

print("g =", factor(g[0]))
print_factored("V", V)
print_factored("U", U)
Factored output
g = (9/484) * (z - 1)^-4 * (z^2 + 13*z + 1)^2

V =
  theta^2: (-4/33) * (z - 1)^-2 * z^-1 * (z^2 + 13*z + 1)^2
  theta^1: (-38/363) * (z - 1)^-3 * z^-1 * (z - 3/19) * (z^2 + 13*z + 1)^2
  theta^0: (-8/363) * (z - 1)^-4 * (z - 13/8) * (z^2 + 13*z + 1)^2

U =
  theta^3: (-16/33) * (z - 1)^-3 * z^-1 * (z^2 + 13*z + 1)^2
  theta^2: (112/363) * (z - 1)^-4 * z^-1 * (z - 19/14) * (z^2 + 13*z + 1)^2
  theta^1: (20/363) * (z - 1)^-4 * z^-1 * (z^2 + 13*z + 1)^2
  theta^0: (2/121) * (z - 1)^-4 * z^-1 * (z^2 + 13*z + 1)^2

ok

The last nonzero remainder and the coefficient of BB have a common factor:

p=z2+13z+1,g=9p2484(z1)4,V=4p233z(z1)2θ22(19z3)p2363z(z1)3θ(8z13)p2363(z1)4.\begin{aligned} p&=z^2+13z+1,\\ g&=\frac{9p^2}{484(z-1)^4},\\ V&=-\frac{4p^2}{33z(z-1)^2}\theta^2 -\frac{2(19z-3)p^2}{363z(z-1)^3}\theta -\frac{(8z-13)p^2}{363(z-1)^4}. \end{aligned}

Since BG=HBG=H and AG=0AG=0, the Bézout identity acts on GG as

gG=(VB+UA)G=V(BG)+U(AG)=VH.gG=(VB+UA)G=V(BG)+U(AG)=VH.

Equivalently, modulo the left ideal RA\mathcal RA,

(g1V)B=1(g1U)A1(modRA).(g^{-1}V)B=1-(g^{-1}U)A\equiv1\pmod{\mathcal RA}.

Set C=g1VC=g^{-1}V. Then

C=176(z1)227zθ28(z1)(19z3)27zθ+5232z27,G=CH.\begin{aligned} C={}&-\frac{176(z-1)^2}{27z}\theta^2 -\frac{8(z-1)(19z-3)}{27z}\theta +\frac{52-32z}{27},\\ G={}&CH. \end{aligned}

Since F=(4θ+1)GF=(4\theta+1)G, we now have F=(4θ+1)CHF=(4\theta+1)CH. This operator has order three. On HH, it can be reduced modulo

D=θ3z(θ+12)3,DH=0.D=\theta^3-z\left(\theta+\frac12\right)^3, \qquad DH=0.

Right division by DD, followed by replacing powers of θ\theta with ordinary derivatives, gives

F(z)=16z(1z2)H(z)+88z216z+563H(z)8z+43H(z).F(z)=16z(1-z^2)H''(z) +\frac{-88z^2-16z+56}{3}H'(z) -\frac{8z+4}{3}H(z).

The coefficient of HH'' vanishes at z=1z=-1:

F(1)=43(H(1)4H(1)).F(-1)=\frac43\bigl(H(-1)-4H'(-1)\bigr).

To identify the expression in parentheses, write

H(z)=n=0cnzn,cn=((2n1)!!(2n)!!)3.H(z)=\sum_{n=0}^{\infty}c_nz^n, \qquad c_n=\left(\frac{(2n-1)!!}{(2n)!!}\right)^3.

For n1n\geq1, ncnnc_n decreases to zero, so the differentiated series converges uniformly on [1,0][-1,0] by the alternating test. Termwise differentiation at 1-1 gives

H(1)4H(1)=n=0(4n+1)((2n1)!!(2n)!!)3(1)n=B.H(-1)-4H'(-1) =\sum_{n=0}^{\infty}(4n+1) \left(\frac{(2n-1)!!}{(2n)!!}\right)^3(-1)^n =\mathcal B.

Hence F(1)=43BF(-1)=\frac43\mathcal B.

Evaluating Bauer’s Series

I will only summarize the rest of the evaluation. The differentiated transformations and the elliptic integral calculation are worked out in the PDF.

Clausen’s identity gives

H(z)=I(z)2,I(z)=2F1(14,141;z).H(z)=I(z)^2, \qquad I(z)={}_2F_1\left( \begin{matrix} \frac14,\frac14\\ 1 \end{matrix};z\right).

It follows that

B=I(1)(I(1)8I(1)).\mathcal B=I(-1)\bigl(I(-1)-8I'(-1)\bigr).

Kummer’s quadratic transformation takes the form

I(4z(1z))=TK(z),TK(z)=2F1(12,121;z),I(4z(1-z))=T_K(z), \qquad T_K(z)={}_2F_1\left( \begin{matrix} \frac12,\frac12\\ 1 \end{matrix};z\right),

and the preimage of 1-1 needed here is

z0=122,4z0(1z0)=1.z_0=\frac{1-\sqrt2}{2}, \qquad 4z_0(1-z_0)=-1.

Differentiating Kummer’s identity at z0z_0 changes the expression for B\mathcal B to

B=TK(z0)(TK(z0)2TK(z0)).\mathcal B =T_K(z_0)\bigl(T_K(z_0)-\sqrt2\,T_K'(z_0)\bigr).

Pfaff’s transformation sends z0z_0 to

z1=z0z01=322.z_1=\frac{z_0}{z_0-1}=3-2\sqrt2.

After differentiation and substitution at z0z_0,

B=(642)TK(z1)2+(80562)TK(z1)TK(z1).\mathcal B =(6-4\sqrt2)T_K(z_1)^2 +(80-56\sqrt2)T_K(z_1)T_K'(z_1).

The derivative is eliminated with

TE(z)=2F1(12,121;z),TK(z)=TE(z)(1z)TK(z)2z(1z).\begin{aligned} T_E(z)&={}_2F_1\left( \begin{matrix}-\frac12,\frac12\\1\end{matrix};z\right),\\ T_K'(z)&=\frac{T_E(z)-(1-z)T_K(z)}{2z(1-z)}. \end{aligned}

Substitution at z1z_1 leaves

B=2TK(z1)2+22TK(z1)TE(z1).\mathcal B =-2T_K(z_1)^2+2\sqrt2\,T_K(z_1)T_E(z_1).

Set k=21k=\sqrt2-1, so that k2=z1k^2=z_1. The hypergeometric forms of the complete elliptic integrals are

K(k)=π2TK(k2),E(k)=π2TE(k2),K(k)=\frac\pi2T_K(k^2), \qquad E(k)=\frac\pi2T_E(k^2),

and the last expression becomes

B=4π2(2K(k)2+22K(k)E(k)).\mathcal B =\frac{4}{\pi^2} \left(-2K(k)^2+2\sqrt2\,K(k)E(k)\right).

At k=21k=\sqrt2-1, the Landen transformation substituted into Legendre’s relation gives

22K(k)E(k)2K(k)2=π2.2\sqrt2\,K(k)E(k)-2K(k)^2=\frac\pi2.

It follows that B=2/π\mathcal B=2/\pi and

F(1)=43B=83π.F(-1)=\frac43\mathcal B=\frac{8}{3\pi}.

Conclusion

The extended Euclidean algorithm produces a left inverse for BkerAB|_{\ker A}, turning H=BGH=BG into G=g1VHG=g^{-1}VH. I had not encountered this use of the algorithm before.

The inversion alone does not finish the reduction. The resulting formula for FF still contains HH'', with coefficient 16z(1z2)16z(1-z^2). This coefficient vanishes at z=1z=-1, leaving exactly 43(H(1)4H(1))\frac43(H(-1)-4H'(-1)). Without that cancellation, the calculation would not reach Bauer’s series.