The implicit function theorem states that if and the partial derivative is an invertible linear map, then near the zero set of is uniquely the graph of a continuously differentiable function.
If is a differentiable bijection with differentiable inverse , the chain rule applied to and gives
Thus is an isomorphism with inverse .
If a continuously differentiable map has invertible derivative everywhere, the inverse function theorem makes it a local diffeomorphism. In particular it is an open map, so its image is open. Its image need not be closed: has nonzero derivative everywhere and image .
For the given map of elementary symmetric polynomials,
and direct evaluation of the determinant gives
Hence the critical set is
Its complement is the Zariski-open set on which the three coordinates are pairwise distinct. Each point has one of the six possible strict coordinate orderings, and each ordering defines a nonempty convex open region. A continuous path cannot change an ordering without crossing . Therefore has exactly
connected components.
A Euclidean domain is an integral domain equipped with a function such that for , , there are with
For the Gaussian integers , take . Choosing a Gaussian integer nearest to makes the remainder norm smaller than .
The units are precisely the elements of norm one:
Unique factorization in this Euclidean domain gives
The displayed factors have prime norms or , so they are irreducible; factors appearing together are nonassociate.
Now suppose . Necessarily . First let be odd. Then is odd, and and are coprime in : a common Gaussian prime would divide , while their product has odd norm. Hence
up to a unit, which can be absorbed into the cube. Comparing imaginary parts gives
Checking yields only , , and therefore
If is even, congruence modulo gives with odd and , where
Each of contains exactly one factor , so the coprime quotients are cubes up to units. Thus
Comparing the imaginary part after the four possible units reduces to
Each integer factor must have absolute value one. Substitution then gives , so and . Hence
All four pairs satisfy the equation, so the complete answer is
Starting from , gradient descent repeatedly computes the gradient and updates
stopping when the gradient norm, step, or objective decrease is sufficiently small.
The Hessian bounds say that is -strongly convex and has -smooth gradient. With ,
Thus the iteration count is
convergence becomes slower linearly with the condition number .
For
the Hessian matrix is , so
Take
Then
whose Hessian is and whose condition number is .
The Rao-Blackwell theorem says that if is an estimator with finite second moment and is a sufficient statistic, then
has the same expectation as and satisfies
with equality only when is already a function of almost surely.
Here is unbiased because
Conditional on , every weak composition of has the same probability . There are
such compositions. For , those with correspond to weak compositions of into parts, of which there are
The Rao-Blackwell estimator is therefore
For and , is not determined by ; for example, conditional on , the sole failure can occur in any coordinate. The variance inequality is consequently strict:

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
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    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
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact