The upper incomplete gamma function is under the convention used here.
For , this integral is an entire function of : the exponential series converges uniformly on bounded subsets after multiplication by the integrable bound . Thus
For positive real , a change of variables gives , where here denotes the lower incomplete gamma function. The singular-looking factor is removed by the integral over . Applying integration by parts to the derivative of gives ; differentiating and eliminating proves .
Repeated integration by parts generates successive inverse powers of a large endpoint, with a remainder expressed by the same integral with shifted parameters.
For fixed and ,
For
repeated integration by parts gives
For fixed finite and , the omitted integral from zero to is negligible, so and Stirling's formula applies.
When with , the integral is dominated by its lower endpoint. Setting and applying Watson's lemma gives coefficients rational in .

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The incomplete gamma function is a mathematical function that generalizes the gamma function, which itself is a fundamental function in mathematics, particularly in the fields of statistics and probability theory. The incomplete gamma function is useful in various applications, including statistical distributions and hypothesis testing. The incomplete gamma function is defined in two forms: the lower incomplete gamma function and the upper incomplete gamma function.