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Polynomial, Algebraic, and Quasi-Exactly Solvable Sectors

Series termination in a Heun equation is not a lucky cancellation at the end of a recurrence. After denominators are cleared, the differential operator preserves a finite-dimensional polynomial space. One parameter closes that space; the accessory parameter is then an eigenvalue of the resulting finite matrix. This viewpoint works without change for the general, confluent, doubly confluent, biconfluent, and triconfluent equations.

It also prevents three common conflations. A polynomial is a kind of function, algebraicity is a finite-branching property, and quasi-exact solvability is a property of an operator and a selected invariant space. They overlap, but none is a synonym for the others.

Five different claims live in the special sector

Section titled “Five different claims live in the special sector”

The following vocabulary will be kept separate throughout the book.

ClaimCertificateWhat it does not imply
Polynomial solutiony=PN(z)y=P_N(z) with degPN=N\deg P_N=NA second polynomial solution or finite monodromy
Quasi-polynomial solutiony=χ(z)PN(z)y=\chi(z)P_N(z) for a declared gauge χ\chiAlgebraicity when χ\chi contains a genuine exponential
Algebraic solutionF(z,y)=0F(z,y)=0 for some nonzero polynomial FFThat the whole two-dimensional solution space is algebraic
Liouvillian solutionConstruction by algebraic extensions, exponentials, and quadraturesA polynomial representation or finite branching
Quasi-exact solvabilityAfter a fixed coordinate and gauge, the spectral operator preserves an explicit space such as χPN\chi\mathcal P_NThe complete spectrum or even an admissible physical state

A polynomial is algebraic and Liouvillian. A power-gauged polynomial with rational powers is algebraic on a finite branched cover. An exponential-gauged polynomial is often Liouvillian but is normally not algebraic. The term QES sector refers to the invariant space that produces such functions, not to their analytic type after every gauge is restored. On this page, quasi-polynomial always means a declared elementary gauge times a polynomial; elsewhere the same word can also mean a finite sum of other special functions.

Termination is an invariant-subspace theorem

Section titled “Termination is an invariant-subspace theorem”

Let

PN=spanC{1,z,,zN},D= ⁣d ⁣dz.\mathcal P_N = \operatorname{span}_{\mathbb C} \{1,z,\ldots,z^N\}, \qquad D=\frac{\dd}{\dd z}.

Write a cleared canonical equation as

L0P=qP,\mathcal L_0 P=qP,

where qq is the accessory parameter. Suppose that

L0zk=rkzk+1+terms of degree at most k.\mathcal L_0z^k = r_kz^{k+1} +\text{terms of degree at most }k.

Every monomial below the top already maps into PN\mathcal P_N. Therefore

L0PNPNrN=0.\mathcal L_0\mathcal P_N \subseteq \mathcal P_N \quad\Longleftrightarrow\quad r_N=0.

In the ordered monomial basis, let

MN=L0PN.M_N = \left. \mathcal L_0 \right|_{\mathcal P_N}.

Then a nonzero polynomial of degree at most NN exists precisely when

det(MNqI)=0.\det(M_N-qI)=0.

The coefficient vector of the polynomial is an eigenvector. The characteristic equation has degree N+1N+1 counting algebraic multiplicity, but its roots need not be distinct and a repeated root need not have a full set of eigenvectors.

A polynomial ladder ending at a termination wall, followed by a finite invariant matrix and its accessory-parameter characteristic equation.

The finite-dimensional mechanism behind Heun termination. The highest raising coefficient rNr_N closes PN\mathcal P_N; the finite matrix then selects qq. These are logically separate tests.

Multiplying an ODE by its common denominator does not change its solutions away from the poles. A candidate eigenpolynomial must nevertheless be substituted back into the original meromorphic equation. This final check catches removable-singularity assumptions and degenerate parameter strata.

One calculation closes all five Heun families

Section titled “One calculation closes all five Heun families”

Use exactly the DLMF conventions fixed on the confluence page. After clearing denominators, the five operators are as follows.

For the general equation,

L0G=z(z1)(za)D2+[γ(z1)(za)+δz(za)+ϵz(z1)]D+αβz.\begin{aligned} \mathcal L_0^{\mathrm G} ={}& z(z-1)(z-a)D^2\\ &+ \bigl[ \gamma(z-1)(z-a) +\delta z(z-a)\\ &\quad +\epsilon z(z-1) \bigr]D +\alpha\beta z. \end{aligned}

For the confluent equation,

L0C=z(z1)D2+[γ(z1)+δz]D+ϵz(z1)D+αz.\begin{aligned} \mathcal L_0^{\mathrm C} ={}& z(z-1)D^2\\ &+ \bigl[ \gamma(z-1)+\delta z \bigr]D \\ &+ \epsilon z(z-1)D +\alpha z. \end{aligned}

For the doubly confluent equation,

L0D=z2D2+(δ+γz+z2)D+αz.\mathcal L_0^{\mathrm D} = z^2D^2 +(\delta+\gamma z+z^2)D +\alpha z.

For the biconfluent and triconfluent equations,

L0B=zD2(γ+δz+z2)D+αz,L0T=D2+(γ+z)zD+αz.\begin{aligned} \mathcal L_0^{\mathrm B} &= zD^2 -(\gamma+\delta z+z^2)D +\alpha z, \\ \mathcal L_0^{\mathrm T} &= D^2 +(\gamma+z)zD +\alpha z. \end{aligned}

Only the coefficient of the highest possible power is needed to test invariance:

ClassRaising coefficient in L0zk\mathcal L_0z^kClosure of PN\mathcal P_N
GHErk=(k+α)(k+β)r_k=(k+\alpha)(k+\beta)α=N\alpha=-N or β=N\beta=-N
CHErk=ϵk+αr_k=\epsilon k+\alphaα=Nϵ\alpha=-N\epsilon
DCHErk=k+αr_k=k+\alphaα=N\alpha=-N
BHErk=αkr_k=\alpha-kα=N\alpha=N
THErk=k+αr_k=k+\alphaα=N\alpha=-N

This table is convention-sensitive. For example, the plus sign α=N\alpha=N in the biconfluent row follows from the minus sign in front of the DLMF derivative coefficient. Translating a closure condition to Maple or Wolfram requires the parameter crosswalk, not a function-name substitution.

The constant sector is a useful checksum. At N=0N=0, impose α=0\alpha=0 in CHE, DCHE, BHE, or THE, or impose α=0\alpha=0 or β=0\beta=0 in GHE. Then P0=1P_0=1 and q=0q=0.

There are two important exact-degree refinements:

  • In GHE, the choice α=N\alpha=-N can contain a smaller invariant space if also β=m\beta=-m for some 0m<N0\leq m<N, and conversely.
  • For CHE with ϵ0\epsilon\neq0, and for DCHE, BHE, and THE, a nonzero eigenpolynomial in the NN sector must have exact degree NN. If ϵ=0\epsilon=0 and α=0\alpha=0, the CHE operator preserves the whole polynomial flag; this is a rank-degenerate exactly solvable limit rather than an isolated QES sector.

The doubly confluent row is especially instructive. Both endpoints are generically irregular, so there is no generic Frobenius-normalized origin function. That fact does not prohibit exceptional polynomial solutions: when α=N\alpha=-N and the finite qq equation holds, the meromorphic ODE has a polynomial solution on C×\mathbb C^\times that extends as an entire function.

General-Heun polynomials from the recurrence

Section titled “General-Heun polynomials from the recurrence”

Take the general-Heun branch α=N\alpha=-N; the branch β=N\beta=-N is symmetric. Write

P(z)=n=0Ncnzn,c1=cN+1=0.P(z)=\sum_{n=0}^{N}c_nz^n, \qquad c_{-1}=c_{N+1}=0.

The coefficient of znz^n in (L0Gq)P(\mathcal L_0^{\mathrm G}-q)P gives

a(n+1)(n+γ)cn+1(q+Qn)cn+(n+α1)(n+β1)cn1=0,Qn=n[(1+a)(n+γ1)+aδ+ϵ].\begin{aligned} &a(n+1)(n+\gamma)c_{n+1} -(q+Q_n)c_n\\ &\qquad+ (n+\alpha-1)(n+\beta-1)c_{n-1} =0,\\ &Q_n = n\left[ (1+a)(n+\gamma-1) +a\delta+\epsilon \right]. \end{aligned}

For n=0,,Nn=0,\ldots,N, these relations form the finite accessory eigenproblem. The coefficient equation at n=N+1n=N+1 reduces to (N+α)(N+β)cN=0(N+\alpha)(N+\beta)c_N=0 and is automatic on the branch α=N\alpha=-N; all higher equations vanish. In the generic origin normalization c0=1c_0=1,

c1=qaγ.c_1=\frac{q}{a\gamma}.

When γ{0,1,2,}\gamma\in\{0,-1,-2,\ldots\}, that normalization may fail even though the finite operator problem remains meaningful. One should solve for a nonzero coefficient vector first and normalize afterward.

For N=1N=1, set α=1\alpha=-1. The Fuchs relation gives

β=γ+δ+ϵ.\beta=\gamma+\delta+\epsilon.

With

K=γ(1+a)+aδ+ϵ,K = \gamma(1+a)+a\delta+\epsilon,

the degree-one accessory equation and a convenient unnormalized eigenpolynomial are

q(q+K)+aγβ=0,P1(z)=aγ+qz.\begin{aligned} q(q+K)+a\gamma\beta&=0,\\ P_1(z)&=a\gamma+qz. \end{aligned}

This is the smallest nontrivial Heun polynomial. The first relation α=1\alpha=-1 makes P1\mathcal P_1 invariant; the quadratic in qq chooses the eigenline inside that two-dimensional space.

On the unobstructed normalized-series locus, the finite eigenpolynomials are the DLMF Heun polynomials

PN,m(z)=H ⁣ ⁣(a,qN,m;N,β,γ,δ;z),m=0,,N.\begin{aligned} P_{N,m}(z) &= H\!\ell\!\left( \begin{gathered} a,q_{N,m};-N,\beta,\\ \gamma,\delta;z \end{gathered} \right),\\ m&=0,\ldots,N. \end{aligned}

They are analytic at all three finite singularities 00, 11, and aa. Outside that generic normalization locus, “polynomial solution” remains the safe operator-level statement.

In the Heine–Stieltjes sign convention AP+BPVP=0AP''+BP'-VP=0, the cubic AA and quadratic BB are fixed, while V=qαβzV=q-\alpha\beta z is the degree-one Van Vleck polynomial. The classical electrostatic interpretation concerns the roots of PNP_N, with the Van Vleck parameter selecting admissible equilibria, and needs additional real positivity assumptions. The finite-dimensional algebra above is valid over C\mathbb C without them.

Suppose α=N\alpha=-N and a monic eigenpolynomial has distinct roots away from the finite singularities:

PN(z)=i=1N(zzi).P_N(z)=\prod_{i=1}^{N}(z-z_i).

Evaluating the ODE at each root gives the Bethe–Stieltjes equations

2j=1jiN1zizj+γzi+δzi1+ϵzia=0.2\sum_{\substack{j=1\\j\neq i}}^N \frac1{z_i-z_j} + \frac{\gamma}{z_i} + \frac{\delta}{z_i-1} + \frac{\epsilon}{z_i-a} =0.

The accessory parameter is recovered from the sum of roots:

q=(β+N1)i=1NziN[(1+a)(N1+γ)+aδ+ϵ].\begin{aligned} q ={}& (\beta+N-1) \sum_{i=1}^{N}z_i\\ &- N\left[ (1+a)(N-1+\gamma) +a\delta+\epsilon \right]. \end{aligned}

This root description is equivalent to the coefficient eigenproblem only on the stated simple-root locus. Collisions with one another or with a singular point are degenerate cases and should be handled by the finite matrix instead.

A degree-one atlas for the confluent descendants

Section titled “A degree-one atlas for the confluent descendants”

The same calculation provides a useful sign audit for every confluent form. At generic parameter values the degree-one sectors are:

ClassClosure conditionAccessory equation
CHEα=ϵ\alpha=-\epsilonq[q(γ+δϵ)]ϵγ=0q[q-(\gamma+\delta-\epsilon)]-\epsilon\gamma=0
DCHEα=1\alpha=-1q2γq+δ=0q^2-\gamma q+\delta=0
BHEα=1\alpha=1q(q+δ)+γ=0q(q+\delta)+\gamma=0
THEα=1\alpha=-1q(qγ)=0q(q-\gamma)=0

Convenient representatives are

classP1(z)CHEγqzDCHEδ+qzBHEγqz\begin{array}{c|c} \text{class}&P_1(z)\\ \hline \mathrm{CHE}&\gamma-qz\\ \mathrm{DCHE}&\delta+qz\\ \mathrm{BHE}&\gamma-qz \end{array}

For THE the two generic eigenpairs are

q=0:P1(z)=z+γ,q=γ:P1(z)=z.\begin{aligned} q=0 &: & P_1(z)&=z+\gamma, \\ q=\gamma &: & P_1(z)&=z. \end{aligned}

If γ=0\gamma=0, the two accessory roots coalesce and the finite matrix has only one eigenline. This elementary example is enough to disprove the frequent assertion that a degree-NN termination condition always produces N+1N+1 distinct polynomial solutions. A generalized eigenvector satisfies

(L0Tq)P(1)=P(0),(\mathcal L_0^{\mathrm T}-q)P^{(1)} = P^{(0)},

so it solves an inhomogeneous equation and is not a second eigenpolynomial.

These are operator eigenpolynomials. A package’s named origin-normalized triconfluent function need not select either eigenvector without an additional initial-data match.

Index gauges generate quasi-polynomial sectors

Section titled “Index gauges generate quasi-polynomial sectors”

Strict polynomials are only one gauge sector. At the three finite singularities of GHE, choose

s0{0,1γ},s1{0,1δ},sa{0,1ϵ},\begin{aligned} s_0&\in\{0,1-\gamma\},\\ s_1&\in\{0,1-\delta\},\\ s_a&\in\{0,1-\epsilon\}, \end{aligned}

and set

y(z)=zs0(z1)s1(za)sau(z).y(z) = z^{s_0}(z-1)^{s_1}(z-a)^{s_a}u(z).

After a branch and cuts are fixed, uu satisfies another general-Heun equation. If

S=s0+s1+sa,S=s_0+s_1+s_a,

its transformed parameters are

γ=γ+2s0,δ=δ+2s1,ϵ=ϵ+2sa,α=α+S,β=β+S,q=q+(aδ+ϵ)s0+aγs1+γsa+2as0s1+2s0sa.\begin{aligned} \gamma'&=\gamma+2s_0, \\ \delta'&=\delta+2s_1, \\ \epsilon'&=\epsilon+2s_a, \\ \alpha'&=\alpha+S, \\ \beta'&=\beta+S, \\ q' &= q+(a\delta+\epsilon)s_0 +a\gamma s_1\\ &\quad +\gamma s_a +2as_0s_1+2s_0s_a. \end{aligned}

Whenever α=N\alpha'=-N or β=N\beta'=-N and the transformed accessory determinant vanishes, u=PNu=P_N and the original solution is

y(z)=zs0(z1)s1(za)saPN(z).y(z) = z^{s_0}(z-1)^{s_1}(z-a)^{s_a}P_N(z).

Thus the three binary index choices generate eight finite-singularity gauge sectors before Möbius permutations are considered. The displayed qq' is the accessory parameter to use in the transformed finite determinant; it does not stay fixed merely because the exponents have shifted.

The analytic label depends on the gauge:

  • if every sjs_j is a nonnegative integer, yy is a polynomial;
  • if every sjs_j is an integer but some are negative, yy is rational and becomes polynomial only if zeros of PNP_N cancel every pole;
  • if every sjs_j is rational and some are noninteger, yy is algebraic on a finite branched cover;
  • generic irrational powers give infinite branching;
  • a genuine exponential gauge in a confluent equation normally gives a nonalgebraic quasi-polynomial.

The transformation page tracks the associated branches, Wronskians, and continuation paths.

The doubly confluent equation makes the exponential part of “quasi-polynomial” explicit. Assume δ0\delta\neq0, absorb any zero of PP at the origin into its power, fix a branch of zrz^r, and set

y(z)=exp(sz+tz)zrP(z).y(z) = \exp\left( sz+\frac tz \right)z^rP(z).

Direct conjugation shows that the absence of degree-N+2N+2, z1z^{-1}, and z2z^{-2} obstructions leaves four gauges:

Gauge χ(z)\chi(z)Closure conditionAccessory value for the finite block
11α=N\alpha=-Nq^=q\widehat q=q
ez\ee^{-z}α=N+γ\alpha=N+\gammaq^=q+δ\widehat q=q+\delta
eδ/zz2γ\ee^{\delta/z}z^{2-\gamma}α=γN2\alpha=\gamma-N-2q^=q+γ+δ2\widehat q=q+\gamma+\delta-2
ez+δ/zz2γ\ee^{-z+\delta/z}z^{2-\gamma}α=N+2\alpha=N+2q^=q+γ2\widehat q=q+\gamma-2

In each row, the remaining condition is

q^Spec(MN(χ)),\widehat q \in \operatorname{Spec} \left( M_N^{(\chi)} \right),

where MN(χ)M_N^{(\chi)} is the conjugated operator restricted to PN\mathcal P_N. The four rows pair the two formal exponential choices at zero with the two at infinity. When δ=0\delta=0, the origin becomes rank-degenerate and this atlas must be reclassified rather than used by continuity.

Algebraicity is a global finite-branching condition

Section titled “Algebraicity is a global finite-branching condition”

A local solution branch is algebraic over C(z)\mathbb C(z) if a nonzero polynomial FF satisfies

F(z,y(z))=0.F\bigl(z,y(z)\bigr)=0.

Analytic continuation then produces only finitely many branches. A single Heun polynomial supplies one invariant line with trivial continuation, but it says almost nothing about the complementary solution. If y1y_1 is known, reduction of order gives

y2(z)=y1(z)zexp(sp(t) ⁣dt)y1(s)2 ⁣dsy_2(z) = y_1(z) \int^z \frac{ \exp\left(-\int^s p(t)\,\dd t\right) }{ y_1(s)^2 } \dd s

for y+p(z)y+r(z)y=0y''+p(z)y'+r(z)y=0. The quadrature may generate logarithms or more general transcendental functions even when y1y_1 is a polynomial.

For a regular-singular equation on the sphere with coefficients in C(z)\mathbb C(z), a full basis of algebraic solutions exists if and only if the linear monodromy group is finite. Finite projective monodromy controls the ratio of two solutions; its scalar character, equivalently the Wronskian character, must still be audited before claiming that the individual solutions are algebraic. Klein’s pullback principle relates the finite-projective-monodromy problem, up to a radical gauge and removal of apparent singularities, to a finite-monodromy hypergeometric equation.

A practical construction has the form

y(z)=χ(z)2F1(A,B;C;ϕ(z)),y(z) = \chi(z)\, {}_2F_1 \left( A,B;C;\phi(z) \right),

where ϕ\phi is rational and χ\chi is a radical gauge. Pullback singularities come from inverse images of 00, 11, and \infty; ramification over an ordinary hypergeometric point can also create an apparent pullback singularity. Some candidate singularities become ordinary or apparent after the gauge. Belyi maps, whose critical values lie in {0,1,}\{0,1,\infty\}, organize many classified hypergeometric-to-Heun reductions. If the source hypergeometric solutions are algebraic, the radical pullback remains algebraic.

A particularly clean normalized-germ identity is

H ⁣(12,2AB;2A,2B,C,C;x)=2F1(A,B;C;4x(1x)).\begin{aligned} &H\!\ell \left( \frac12,2AB; 2A,2B,C,C; x \right)\\ &\qquad= {}_2F_1 \left( A,B;C;4x(1-x) \right). \end{aligned}

For nonexceptional CC, this is a quadratic hypergeometric-to-Heun identity of normalized germs near x=0x=0; exceptional values are handled only after analytic continuation or a parameter limit. For generic AA, BB, and CC, both sides remain transcendental.

Now set B=CB=C. The elementary identity 2F1(A,C;C;u)=(1u)A{}_2F_1(A,C;C;u)=(1-u)^{-A} gives

H ⁣ ⁣(12,2AC;2A,2C,C,C;x)=(12x)2A.\begin{aligned} &H\!\ell\!\left( \begin{gathered} \frac12,2AC;\\ 2A,2C,C,C;x \end{gathered} \right)\\ &\qquad= (1-2x)^{-2A}. \end{aligned}

For example, A=1/3A=1/3 produces the algebraic, nonpolynomial germ (12x)2/3(1-2x)^{-2/3} on the branch equal to 11 at the origin. This one algebraic solution still says nothing by itself about the complementary solution.

Three tests must not be weakened:

  1. Rational local exponent differences are necessary for finite local projective monodromy, but not sufficient for finite global monodromy.
  2. An apparent singularity has trivial or scalar local monodromy after the relevant gauge; it does not force the other monodromy generators to be finite.
  3. One algebraic solution makes the monodromy reducible on a finite cover; it does not make the full representation finite.

These finite-monodromy statements are Fuchsian. They cannot be transferred unchanged to a genuinely confluent equation, where exponential factors and Stokes matrices are additional global data.

On PN\mathcal P_N, define

J=D,J0=zDN2,J+=z2DNz.\begin{aligned} J^-&=D,\\ J^0&=zD-\frac N2,\\ J^+&=z^2D-Nz. \end{aligned}

Their action on a monomial is

Jzk=kzk1,J0zk=(kN2)zk,J+zk=(kN)zk+1.\begin{aligned} J^-z^k&=kz^{k-1},\\ J^0z^k&=\left(k-\frac N2\right)z^k,\\ J^+z^k&=(k-N)z^{k+1}. \end{aligned}

In particular, J+zN=0J^+z^N=0. These operators realize sl2\mathfrak{sl}_2 and preserve PN\mathcal P_N. Quadratic polynomials in the three generators give the standard one-variable sl2\mathfrak{sl}_2-algebraic second-order QES operators.

The cleared Heun operators above enter this class when their closure condition is imposed. The condition depends on the selected NN, so it usually produces one invariant space, not the entire flag

P0P1P2.\mathcal P_0 \subset \mathcal P_1 \subset \mathcal P_2 \subset\cdots.

Preservation of one member is the quasi-exact statement. Preservation of a full nested flag, with compatible parameters, is the stronger exactly solvable situation.

In a Schrödinger reduction, the physical wavefunction commonly has the form

Ψ(x)=χ(z(x))PN(z(x)).\Psi(x) = \chi\bigl(z(x)\bigr) P_N\bigl(z(x)\bigr).

The finite matrix supplies a finite set of candidate spectral values and wavefunctions. It does not decide whether Ψ\Psi is single-valued on the physical domain, square-integrable, regular at an endpoint, or recessive in the required Stokes sectors. Those boundary and sector conditions remain part of the spectral problem. The physical energy may also enter several canonical parameters rather than coincide with qq.

An audit workflow for a claimed special solution

Section titled “An audit workflow for a claimed special solution”
  1. Declare the equation convention. Record the exact ODE and ordered parameter tuple.
  2. Choose the coordinate and gauge. Decide whether the finite object is PN(z)P_N(z) or χ(z)PN(z)\chi(z)P_N(z), and fix every branch.
  3. Clear denominators. Isolate the accessory parameter as L0P=qP\mathcal L_0P=qP without discarding singular points silently.
  4. Close the space. Compute only the coefficient of zN+1z^{N+1} in L0zN\mathcal L_0z^N and impose its vanishing.
  5. Solve the finite problem. Construct MNM_N exactly and solve det(MNqI)=0\det(M_N-qI)=0.
  6. Inspect the eigenvector. Check its top coefficient, multiplicity, and normalization; repeated accessory roots need separate treatment.
  7. Return to the original problem. Substitute into the uncleared ODE, restore the gauge, and test analytic and physical boundary conditions.

Stopping after the degree condition. The relation rN=0r_N=0 only prevents escape to zN+1z^{N+1}. The finite equations can still be inconsistent unless qq lies in the accessory spectrum.

Counting roots as distinct solutions. A characteristic polynomial has N+1N+1 roots only with algebraic multiplicity. Its discriminant can vanish, and a repeated eigenvalue can have a smaller eigenspace.

Ruling out DCHE polynomials because the origin is irregular. Generic Frobenius normalization and exceptional entire solutions are different questions. The DCHE closure condition and accessory determinant can cancel the singular coefficients on one polynomial solution.

Promoting one polynomial to finite monodromy. A polynomial solution defines one invariant line. The second solution may contain a logarithm, so the full monodromy group can remain infinite.

Calling every algebraic eigenpair physical. QES algebra determines a finite set of formal eigenfunctions. Domain, measure, endpoint, reality, and Stokes conditions decide which of them belong to the physical operator.

Assume that L0zk\mathcal L_0z^k has degree at most k+1k+1 for every kk and that its zk+1z^{k+1} coefficient is rkr_k. Prove that rN=0r_N=0 is necessary and sufficient for L0PNPN\mathcal L_0\mathcal P_N\subseteq\mathcal P_N.

Solution

For 0k<N0\leq k<N, the degree bound gives

deg(L0zk)k+1N.\deg\bigl(\mathcal L_0z^k\bigr) \leq k+1 \leq N.

Thus every basis monomial except zNz^N already maps into PN\mathcal P_N. For the last monomial,

L0zN=rNzN+1+terms in PN.\mathcal L_0z^N = r_Nz^{N+1} +\text{terms in }\mathcal P_N.

It belongs to PN\mathcal P_N exactly when rN=0r_N=0. Linearity completes both directions of the proof.

2. Reproduce the degree-one general-Heun sector

Section titled “2. Reproduce the degree-one general-Heun sector”

Set α=1\alpha=-1 and P1=c0+c1zP_1=c_0+c_1z. Derive the quadratic equation for qq without using the displayed recurrence.

Solution

The Fuchs relation gives β=γ+δ+ϵ\beta=\gamma+\delta+\epsilon. Acting on the basis {1,z}\{1,z\} gives

L0G(1)=βz,L0G(z)=aγKz,\begin{aligned} \mathcal L_0^{\mathrm G}(1) &= -\beta z,\\ \mathcal L_0^{\mathrm G}(z) &= a\gamma -Kz, \end{aligned}

where K=γ(1+a)+aδ+ϵK=\gamma(1+a)+a\delta+\epsilon. Hence, with columns defined by the images of the basis vectors,

M1=(0aγβK).M_1 = \begin{pmatrix} 0&a\gamma\\ -\beta&-K \end{pmatrix}.

Therefore

det(M1qI)=q(q+K)+aγβ.\det(M_1-qI) = q(q+K)+a\gamma\beta.

An eigenvector can be chosen as (aγ,q)T(a\gamma,q)^{\mathsf T}, giving P1=aγ+qzP_1=a\gamma+qz.

Apply each cleared operator to zkz^k and retain only the coefficient of zk+1z^{k+1}. Recover every row of the five-family table.

Solution

For GHE, the leading contributions are

k(k1)+k(γ+δ+ϵ)+αβ.k(k-1) +k(\gamma+\delta+\epsilon) +\alpha\beta.

Using γ+δ+ϵ=α+β+1\gamma+\delta+\epsilon=\alpha+\beta+1 gives (k+α)(k+β)(k+\alpha)(k+\beta). The remaining four raising coefficients are read directly from their highest polynomial terms:

CHEϵk+αDCHEk+αBHEk+αTHEk+α\begin{array}{c|c} \mathrm{CHE}&\epsilon k+\alpha\\ \mathrm{DCHE}&k+\alpha\\ \mathrm{BHE}&-k+\alpha\\ \mathrm{THE}&k+\alpha \end{array}

Setting the appropriate coefficient at k=Nk=N to zero gives

GHE:α=N or β=N,CHE:α=Nϵ,DCHE:α=N,BHE:α=N,THE:α=N.\begin{aligned} \mathrm{GHE}:&\quad \alpha=-N\ \text{or}\ \beta=-N,\\ \mathrm{CHE}:&\quad \alpha=-N\epsilon,\\ \mathrm{DCHE}:&\quad \alpha=-N,\\ \mathrm{BHE}:&\quad \alpha=N,\\ \mathrm{THE}:&\quad \alpha=-N. \end{aligned}

For DCHE with α=1\alpha=-1, show directly that

P1(z)=δ+qzP_1(z)=\delta+qz

solves the equation exactly when q2γq+δ=0q^2-\gamma q+\delta=0. Explain why this does not make the origin an ordinary point of the equation.

Solution

Using the cleared operator,

L0DP1=q(δ+γz+z2)z(δ+qz)=qδ+(γqδ)z.\begin{aligned} \mathcal L_0^{\mathrm D}P_1 &= q(\delta+\gamma z+z^2) -z(\delta+qz)\\ &= q\delta +(\gamma q-\delta)z. \end{aligned}

Equality with

qP1=qδ+q2zqP_1=q\delta+q^2z

is equivalent to q2γq+δ=0q^2-\gamma q+\delta=0. Dividing the original equation by z2z^2 gives

p(z)=δz2+γz+1,r(z)=1zqz2.\begin{aligned} p(z) &= \frac{\delta}{z^2} +\frac{\gamma}{z} +1,\\ r(z) &= -\frac1z -\frac q{z^2}. \end{aligned}

These coefficients remain singular. Generically δ0\delta\neq0 makes the origin irregular; when δ=0\delta=0, it can reduce to regular singular. It is never ordinary here. Cancellation on one polynomial solution does not reclassify the differential equation.

Choose s0=1γs_0=1-\gamma and s1=sa=0s_1=s_a=0. Suppose the transformed parameter satisfies α=α+1γ=N\alpha'=\alpha+1-\gamma=-N and its accessory determinant vanishes. Classify

y=z1γPN(z)y=z^{1-\gamma}P_N(z)

when 1γ1-\gamma is a nonnegative integer, a negative integer, a noninteger rational number, or an irrational number.

Solution

With generic PN(0)0P_N(0)\neq0:

  • a nonnegative integer power gives a polynomial;
  • a negative integer power gives a rational function with a pole at zero;
  • a noninteger rational power gives an algebraic multivalued function on a finite branched cover;
  • an irrational power has infinitely many branches and is not algebraic.

Zeros of PNP_N at the origin can cancel an integer pole and must be checked before assigning the final label. In every case the function remains a quasi-polynomial in the declared gauge sector.

Verify that JJ^-, J0J^0, and J+J^+ preserve PN\mathcal P_N, and compute their commutators.

Solution

Their monomial actions were displayed above. The only operator that can raise degree is J+J^+, and J+zN=0J^+z^N=0, so all three preserve PN\mathcal P_N. Direct calculation gives

[J0,J]=J,[J0,J+]=J+,[J+,J]=2J0.\begin{aligned} [J^0,J^-]&=-J^-,\\ [J^0,J^+]&=J^+,\\ [J^+,J^-]&=-2J^0. \end{aligned}

These are the sl2\mathfrak{sl}_2 commutation relations in the stated sign convention.

7. One polynomial need not give finite monodromy

Section titled “7. One polynomial need not give finite monodromy”

Use

y+1zy=0y''+\frac1z y'=0

to show that a Fuchsian equation can have a polynomial solution while its full monodromy is infinite.

Solution

One solution is y1=1y_1=1. Reduction of order gives

y2=z ⁣dss=logz.y_2 = \int^z\frac{\dd s}{s} = \log z.

After one positive circuit around the origin,

(y1y2)(y1y2)(12πi01)\begin{pmatrix} y_1&y_2 \end{pmatrix} \longmapsto \begin{pmatrix} y_1&y_2 \end{pmatrix} \begin{pmatrix} 1&2\pi\ii\\ 0&1 \end{pmatrix}

after choosing the corresponding row-basis convention. Repeated circuits produce arbitrarily large upper-right entries. The polynomial line is fixed, but the full monodromy group is infinite.

A finite matrix produces Ψ(x)=exp[W(x)]PN(z(x))\Psi(x)=\exp[-W(x)]P_N(z(x)) at an algebraic value of the energy. List four independent checks still needed before calling it a bound state.

Solution

At minimum one must check:

  1. the chosen branches make Ψ\Psi single-valued on the physical domain;
  2. Ψ\Psi lies in the Hilbert-space measure and is square-integrable;
  3. it satisfies the required endpoint or self-adjoint boundary conditions;
  4. the algebraic energy and parameters have the required reality properties.

For unbounded complex contours, the endpoint test is replaced or augmented by recessiveness in the specified Stokes sectors. None of these conditions is encoded by the finite polynomial determinant alone.