Series solutions near an irregular singular point
We study the second–order linear ODE
where and are meromorphic. Our goal is to understand how to construct series solutions near an irregular singular point, with particular emphasis on .
At a regular singular point, Frobenius theory gives convergent power series. At an irregular singular point:
- one still has Frobenius–type formal series, but they typically diverge;
- the leading behaviour usually involves an exponential factor ;
- in some cases, fractional powers of enter after a ramified change of variables.
This note introduces these ideas through formal, normal, and subnormal solutions.
1. Setup and formal Frobenius–type series
Section titled “1. Setup and formal Frobenius–type series”We focus on and assume that and are meromorphic there. Write their Laurent expansions as
with integers and not both zero (unless or ).
Recall that:
- If and as , then is an ordinary or regular singular point.
- If at least one of holds, the point is an irregular singular point of polar type. This is the case we study.
1.1 Frobenius–type ansatz at infinity
Section titled “1.1 Frobenius–type ansatz at infinity”We first try a Frobenius–type ansatz
Differentiate:
Substitute into and factor out :
Inside the braces we have a formal Laurent series in integer powers of . For to be a formal solution, the coefficient of each power of must vanish.
The highest powers come from:
- the term: at most ;
- the term: from ;
- the term: from .
If , then is the highest power and its coefficient is , so no such formal series exists.
Thus a necessary condition for a Frobenius–type formal solution is
If (so all ), then is again the highest power with coefficient , and the ansatz fails unless . In that sense the “order” of is , and the condition still fails.
1.2 Determining the exponent
Section titled “1.2 Determining the exponent ρ\rhoρ”Assume from now on that and . The dominant power in the curly bracket is then . Two subcases occur.
-
.
The exponent is strictly larger than , so only the term contributes to this power. Its coefficient is , so -
.
Now and both contribute to the power , giving coefficient . Hence
This “indicial equation” is linear in , in contrast with the quadratic indicial equation at a regular singular point.
Once is fixed, one equates the coefficients of the lower powers of to zero, obtaining a linear recurrence that determines uniquely in terms of the free parameter . The resulting series is a formal Frobenius–type solution at .
1.3 Asymptotic meaning
Section titled “1.3 Asymptotic meaning”For an irregular singular point, the coefficients typically grow faster than , so the series diverges for every finite . However it still carries information:
A formal series
is an asymptotic expansion of a genuine solution if, for each fixed ,
in some sector of the complex plane.
Truncating the divergent series after finitely many terms then provides good approximations for large . Stokes phenomena arise as one crosses rays where exponentially small corrections switch on and off.
2. Normal solutions
Section titled “2. Normal solutions”When the necessary condition fails (for example if and grows at infinity), Frobenius–type series of the form do not exist. In many such situations solutions have the more general form
where the exponential factor contains a polynomial that captures the dominant growth or decay.
2.1 Prototype: first–order equations
Section titled “2.1 Prototype: first–order equations”Consider the first–order equation
If as , then has only negative powers in its Laurent expansion, and can admit a Frobenius–type expansion.
If instead has a polynomial part,
then
Splitting the integral into its polynomial and decaying parts, we obtain
with
- a polynomial (coming from the integral of the polynomial part of ),
- determined by the coefficient of in ,
- , a Frobenius–type series.
This motivates the following definition.
Normal solution (at ).
A solution of a linear ODE is called normal if it can be written aswhere is a (non‑constant) polynomial.
2.2 Reduction for second–order equations
Section titled “2.2 Reduction for second–order equations”For the second–order equation
we look for a normal solution by setting
Compute
Substituting into the ODE and cancelling the common factor we get an equation for :
with modified coefficients
We now apply the formal Frobenius analysis of Section 1 to this transformed equation. In particular:
- expand in Laurent series at infinity,
- let be their orders,
- demand so that a Frobenius–type formal series for can exist.
This requirement determines the degree and coefficients of . Once is fixed, the exponent and the coefficients in follow from the same recurrence process as before.
From the viewpoint of the Riccati equation for , choosing amounts to approximating the “logarithmic derivative” by a polynomial and removing that leading behaviour.
3. Example: Weber / Hermite equation
Section titled “3. Example: Weber / Hermite equation”Consider the ODE
the one-dimensional harmonic oscillator (after rescaling). Here , and
Because , the necessary condition for a Frobenius–type series fails: there is no formal solution of the simple form . We therefore seek a normal solution.
3.1 Choosing the exponential factor
Section titled “3.1 Choosing the exponential factor”Set
As above, the transformed equation for is
with
We want the order of at infinity to be higher than that of . Since contains , must be at most linear; otherwise would dominate and make the order of too large. So try
Then
For to have strictly higher order than , the coefficients of and in must vanish:
Thus
and we can take
The corresponding transformed equation is
For physical applications we are interested in solutions decaying at . This corresponds to
for which
and
This is the Hermite (parabolic cylinder) equation.
3.2 Formal series for
Section titled “3.2 Formal series for vvv”Seek a Frobenius–type series
Substituting into the Hermite equation and comparing coefficients gives:
- the exponent
- all odd coefficients vanish, ;
- the even coefficients satisfy the recurrence
From this recurrence one can check that grows roughly like , so the series diverges for all finite . Nevertheless
is an asymptotic expansion of a true solution that decays along suitable rays in the complex plane.
3.3 Terminating series and Hermite polynomials
Section titled “3.3 Terminating series and Hermite polynomials”If
then for some the factor in the recurrence vanishes, and the series terminates: for all . The solution becomes a polynomial of degree .
Writing , these polynomials are proportional to the standard Hermite polynomials , defined by, e.g.,
Thus for the discrete values we obtain global, square-integrable solutions
the familiar eigenfunctions of the quantum harmonic oscillator. In this case the normal solution is not just asymptotic but given by a convergent finite series.
4. Subnormal solutions
Section titled “4. Subnormal solutions”Sometimes no polynomial makes the transformed coefficients satisfy the condition needed for a Frobenius–type series. However, an algebraic change of variables can improve the situation.
A typical structure is:
- after a ramified substitution with , the transformed equation in admits a normal solution;
- when expressed back in the original variable , the solution involves exponentials and series in fractional powers of .
Subnormal solution.
A solution of is called subnormal of order if, after the change of variable , it becomes a normal solution in the variable .
4.1 Example
Section titled “4.1 Example”Consider
with
Here and decays like . One checks that no choice of polynomial yields a normal solution directly.
Introduce the substitution (so ). Using and
the equation becomes
Now
and the coefficient of is , whose order at infinity is higher than that of . The transformed equation therefore does admit a normal solution of the form
for some exponent and coefficients .
Returning to gives the subnormal solution
The presence of and the series in half-integer powers of are characteristic of a subnormal solution of order 2.
5. Summary
Section titled “5. Summary”For the second–order ODE at an irregular singular point of polar type (say ):
-
A Frobenius–type formal series can exist only if the order of at infinity exceeds that of . When it exists, the exponent is determined by a linear indicial equation and the coefficients follow from a recurrence. The series usually diverges and must be interpreted asymptotically.
-
When this condition fails, one looks for normal solutions with a polynomial chosen so that the transformed equation for does admit a Frobenius–type series. The Weber/Hermite equation is a canonical example, where .
-
In more complicated cases, an algebraic change of variables can create a normal solution in . The resulting solutions in the original variable are subnormal, involving exponentials and series in fractional powers of .
These constructions give a systematic way to understand the local structure of solutions near irregular singular points and provide the starting point for global questions such as Stokes phenomena, connection formulae, and quantisation conditions in quantum mechanics.