Evaluate the Fourier sine series of part (d) at the interior point . Only odd indices remain, with alternating signs:
Thus .
For the second identity, apply Parseval's identity to . From part (c), , and , so
The left side is , giving . Consequently
The first series is conditionally convergent, while the second converges absolutely by the P-series criterion.
Termwise differentiation of a Fourier series, applied to the continuous periodic extension in part (c), gives for
Hence the required Fourier sine series is
The endpoint deserves care: at every term is zero, so the Fourier series sums to , the average of the periodic one-sided limits and . It therefore does not reproduce the specified endpoint value . Changing a value at one point does not change any Fourier coefficient, so this is still the Fourier series of the stated function on .
For , the even function has , because is an odd function. Its constant coefficient is . The remaining Fourier coefficients are
Two applications of integration by parts give the antiderivative, with ,
Its endpoint difference is , so . Therefore
The periodic extension is continuous and piecewise smooth, so pointwise convergence of a piecewise smooth Fourier series gives equality, including at the endpoints.
The Fourier coefficients follow by multiplying the expansion by , by the appropriate cosine, or by the appropriate sine, then using orthogonality. In the convention with constant term ,
The factor comes from the squared norms of the nonconstant sine and cosine functions: the integral of each square over is . The constant function has squared norm .
The requested bounds are and , both within the support. Since the probability distribution is continuous, endpoints have zero probability, and subtraction of the cumulative distribution function gives
This leaves the answer in rational fractions as requested.
The expected value is
The second moment is . Hence the variance and standard deviation are
At the mode, the cumulative distribution function has value
Since is strictly increasing on , its unique crossing of occurs earlier. Therefore the median is less than the mode.
The interior stationary point of the probability density function solves with , giving . The sign change of established in part (d), together with zero endpoint values, makes this the global maximum. Thus
The probability density function is zero outside . Inside that interval, it rises from , reaches its only interior maximum at , and falls to . The derivative is
positive 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.
The full cumulative distribution function is
Thus 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.
Figure 1.
Cumulative distribution and density, with the mode marked, for Question 16
. Details.
Factor the leading term out of the Maclaurin series for the sine:
The binomial theorem gives, through degree four inside the bracket,
The coefficient of is . Multiplying back by yields
Put . Since , the outer Taylor series requires and . Therefore
Both logarithms are defined on a neighbourhood of zero, so this composition of power series is valid there.
The Maclaurin series , applied with and then multiplied by , gives
These are the first three nonzero terms. The remainder is written in Big O notation.
The chain rule expresses the coordinate differential operators as
The coefficients are constant, so a second application gives
and
Adding cancels the mixed partial derivatives, and gives
The transformation has rotation matrix , so this identity expresses the rotational invariance of the Laplacian.
Let . The product rule and the chain rule give the partial derivatives
Hence the terms containing cancel:
This also follows from the Euler theorem for homogeneous functions, because for .
The stated total differential is that of , so . The zero-volume condition gives . For positive , divide the total differential by this volume to obtain
For the specified small changes, , so the volume increases by approximately . The fractional expression requires ; at a degenerate zero-volume state it is undefined. For finite changes, the exact multiplier is , whose difference from is ; the total differential gives its first-order approximation.
For an exact differential form, equality of the mixed partial derivatives requires . Here
Equality for all and real forces , so . To construct the potential, integrate with respect to :
Differentiation with respect to gives , so . Thus the most general potential on the connected domain is
Its explicit partial derivatives verify sufficiency as well as necessity.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
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    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
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