For the normalized equation, is an ordinary point when both and are analytic near . A singular point is a regular singular point when and extend analytically to ; equivalently has at most a simple pole and at most a double pole there.
Thus ordinary points admit ordinary power-series solutions, while the Frobenius method applies at a regular singular point. The definitions refer to the coefficients after dividing by the leading coefficient of .
After normalization, and . Both are analytic at zero, so . At one,
are analytic, whereas themselves have poles. Hence .
Insert . The coefficient of gives ; for the coefficient of gives
Thus for . The initial data give , , so
The radius is one because the three cube roots of unity are poles of this solution. A direct structural check observes that the differential equation is exactly . Thus , and the initial data select . This is the product-derivative reduction of a second-order differential equation.
Use a Frobenius solution , with . The lowest power has coefficient , giving the indicial equation
For , matching the coefficient of gives
For both candidate exponents the cancelled factor is nonzero in this range, so the recurrence is
With , the exponent-zero solution is
For , the coefficients are , giving
The ratio test gives infinite radius of convergence for both series factors, since the successive ratios in magnitude are and . The second full solution still needs a square-root branch in the complex plane; on it is a real solution. The distinct leading behaviors and prove linear independence.
For an independent closed-form check on the structure, put . The equation becomes , a Kummer differential equation with equal parameters. Its exponential reduction of a confluent hypergeometric equation with equal parameters explains the elementary first solution and the branched companion.

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