Use integration by parts in , writing the integrand as . Since an antiderivative of is ,
The boundary term vanishes because the Gaussian exponential function decays faster than any fixed power. These improper integrals are absolutely convergent, justifying the limiting integration by parts.
Starting from the permitted Gaussian integral , the Gaussian moment recurrence gives and then
More generally, iteration gives , using the double factorial with .
Assume that wrong-note events are independent events and that each note has the same error probability , with . Then their count has a binomial distribution. Choose the mistaken positions in ways and multiply the probabilities of the errors and correct notes:
The endpoint cases or are understood by continuity, giving deterministic counts. More than half means at least mistakes, so
The single-note error probability alone would not determine this count distribution if mistakes were correlated; independence is the additional standard modeling assumption.
A uniformly shuffled deck makes all unordered five-card hands equally likely, giving possible hands. Choose the rank appearing four times in ways; all four suits of that rank are then fixed. The remaining card can be any of the other cards. No hand is counted twice, because five cards cannot contain two different complete four-card ranks. This use of combinatorics gives the probability
Here is a binomial coefficient; the probability also simplifies to .
For , the required derivatives are
At these give , , and . Setting , the three-term Taylor polynomial yields
By the Taylor theorem with Lagrange remainder, the signed error is
It is positive, and . Consequently
The last comparison is exact because . Thus the estimate is an underestimate with the required rigorous absolute error bound.
With the first terms counted from the constant term, Taylor's theorem gives
where lies between and . Continuous derivatives through order on the joining interval are a sufficient hypothesis for this Taylor theorem with Lagrange remainder. The Taylor remainder measures the error of the finite Taylor polynomial; convergence of the corresponding infinite Taylor series is a separate question.
Since for all real , divide the equation by that factor. Its linear coefficient can be integrated by polynomial division:
Thus a positive integrating factor is . Multiplying the divided equation gives the product rule form
The integration by substitution gives
The initial condition fixes . The required solution is therefore
No real singularity was introduced by the division or the integrating factor, so the solution extends over the entire real line.
For the first-order linear ordinary differential equation, seek an integrating factor that makes its left side a product rule derivative. Multiplying by gives , and comparison with requires . On an interval where is continuous choose
This factor is never zero. The transformed equation is , so integration from to yields
Here for an initial value problem. The indefinite integral version is , with any constant choices inside the integrating factor absorbed into . Continuity of is a convenient sufficient hypothesis for a classical differentiable solution of a differential equation.
The homogeneous characteristic equation is , giving the complementary solution . For a particular solution, try . Substitution gives , so and . Therefore the general solution is
As a direct check, the polynomial part contributes , while both complementary terms contribute zero.

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