The full cumulative distribution function isThus the function graph is horizontal at zero for , rises continuously from to , and is horizontal at one for . Its derivative is positive on and zero at both endpoints. The second derivative changes sign at , giving an inflection point there.
The probability density function is the derivative of the cumulative distribution function:It is nonnegative and has integral . This is a beta distribution with parameters and .
The probability density function is zero outside . Inside that interval, it rises from , reaches its only interior maximum at , and falls to . The derivative ispositive for and negative for . Its maximum height is . The second panel of the figure in part (b) shows the function graph on the requested full range, with this mode marked.
L'Hôpital's rule applies to a quotient of differentiable functions near a limiting point, excluding that point itself, provided there. If the quotient has an indeterminate form or , and the limit of exists as a finite or infinite value , thenThe rule also applies to one-sided limits and to limits at infinity, under the corresponding hypotheses. Existence of the derivative-ratio limit and the indeterminate-form hypotheses are required; an arbitrary quotient cannot be replaced by a quotient of derivatives.
The chain rule and the quotient rule giveThe exponential function and denominator are positive, so the stationary points occur exactly at . Their values areThe derivative is negative for and positive for , so is a local minimum and a local maximum. They are also global extrema, since .
The fundamental theorem of calculus gives , so the graph is strictly increasing. Its second derivative is : it curves upward for and downward for , with an inflection point at zero.
By the Gaussian integral and the evenness of its integrand,Thus the only axis intersection is ; there is no finite -axis intersection because the integral is strictly positive for every finite . The error function gives .
Setting the tangent line approximation equal to zero gives the Newton root-finding iterationThe step requires a nonzero derivative at the starting point.
Taylor's theorem gives a finite Taylor polynomial of degree , consisting of the first terms, and a remainder:In the Taylor theorem with Lagrange remainder form, assuming the required derivatives exist on an interval containing and ,for some strictly between and when ; at the remainder is zero. In particular, if on that segment, then . This is a finite expansion; it does not assume equality with an infinite Taylor series.
Take in the substitution rule, so . The transformed integral isThe two terms follow from the derivatives of the natural logarithm and the inverse tangent. Returning to gives the antiderivative
Apply the Leibniz rule for the th derivative of a product. Only the first three terms survive, because all derivatives of of order greater than two vanish and every derivative of is :At this gives
The difference quotient at zero isIf , its absolute value is at most , so is differentiable at zero with derivative .
For the Leibniz integral rule, the upper endpoint has derivative and the lower endpoint has derivative . The integrand has partial derivative . ThereforeThe last integral is . Combining terms gives
For , interpret the endpoint by a one-sided limit. Part (iii) shows that extends continuously there with value zero, so both nested integrals converge. Let denote the nested expression inside the derivative. The fundamental theorem of calculus, applied twice with moving lower endpoints, givesBy part (iii), , henceA direct check is , so , with the same third derivative.
The derivative is , so the tangent line has slope at . The corresponding point is because . Hence the tangent line is , or . Thus
The chain rule givesSince , the exponent is at most , with equality precisely at . The exponential function is increasing, soThe sign of the derivative, positive for and negative for , gives the same conclusion.
The equation as printed requires ; its sign does not affect the result. Seek separated solutions . Substitution into the wave equation givesThe Neumann boundary conditions impose . Multiplying the spatial equation by and integration by parts gives , so nontrivial spatial eigenfunctions require .
For , is constant and . For , . The first boundary condition gives , and the second gives . Thus is a positive integer and the spatial eigenfunctions are . Their time dependence is . By superposition,The zero initial velocity sets . The trigonometric identity gives the initial profile , so only the constant mode and the first cosine mode occur. HenceIts spatial derivative is , which vanishes at both boundaries, and its time derivative vanishes initially. Thus it satisfies all the required data.

