Apply Green second identity to and the free-space Green function on with a small ball about removed. Both functions are harmonic there, so only boundary terms remain. The contribution from the small sphere tends to because
has unit delta source, while the remaining small-sphere term vanishes. Taking the radius to zero gives Green's third identity
Cut the octagon for along a diagonal joining the appropriate two vertex classes. The two resulting polygons can be reattached along that diagonal in the opposite order. Reading the new boundary word gives the square word
which is exactly the edge identification displayed for . The cut-and-paste map is affine on the two pieces and respects every paired edge, so it descends to a homeomorphism . Both are the Klein bottle.
After deleting an open disc, the punctured Klein bottle can be realized as a boundary connected sum of two embedded Möbius strips, and hence embeds in . The closed Klein bottle cannot embed: every connected closed surface embedded in is two-sided and therefore orientable, by the Jordan-Brouwer separation theorem, whereas the Klein bottle is nonorientable. Thus
A topological surface is a Hausdorff, second-countable space in which every point has a neighbourhood homeomorphic to an open subset of .
For , interior points and points in the interiors of paired edges plainly have disc neighbourhoods. The corner identifications form two classes; in each class two quarter-discs are glued to make a half-disc, and the adjacent identified edge neighbourhoods complete a disc. Equivalently, this polygon is a cell decomposition of the real projective plane, hence a quotient of by the antipodal group. Thus is a topological surface.
In , three distinct sides labelled are identified. A point in the interior of their common image has a neighbourhood made from three half-discs meeting along their diameters. Removing the common diameter leaves three local sides rather than two, so this neighbourhood is not a disc or half-disc. Therefore
The density is an equal mixture of the uniform distributions on and . Hence
so
Thus is unbiased.
Also,
The central limit theorem gives
Replacing in the asymptotic standard error by the consistent estimator gives the Wald confidence interval
It may be intersected with the parameter space .
Let
Ignoring the immaterial choice of density values at the sample points, the likelihood function is
Between consecutive order statistics, is constant while decreases with . A maximum can therefore be moved to the left endpoint of one of these intervals. With an equivalent version using , the maximum is attained at a sample order statistic. Thus the maximum-likelihood estimator coincides with one of .
At a fixed observation time , varying the release time gives
Hence the dye streakline is the parabolic arc
A particle released at the origin at time satisfies
Integration gives
Its distance from the origin is therefore
If , then for some nonzero , and
Thus . The formula
is consequently independent of the representative and defines an -module homomorphism on the quotient module.
If is injective and , then is torsion, so for some nonzero . Injectivity gives , hence . Therefore
The converse fails. For , take
Then is not injective, but quotienting by its torsion submodule leaves , and is the identity.
The zero element is torsion. If , choose nonzero with and . Since is an integral domain, , and
Thus . If , then , so . Hence is closed under addition and scalar multiplication and is an submodule of .
The pair is an irreducible positive recurrent product Markov chain with stationary distribution
The stationary cycle occupation formula says that, during one return cycle to a state , the expected number of visits to a set is . Take
Then
The initial and terminal states both have , so either convention for including the endpoints gives the same count. Thus
The self-loop at zero makes the irreducible chain aperiodic. The convergence theorem for irreducible, aperiodic, positive recurrent countable-state chains gives
Because and are independent,
Therefore
The chain is an irreducible birth-death process. The detailed balance equations are
so . Normalization gives the stationary distribution
An irreducible countable-state Markov chain that possesses a stationary probability distribution is positive recurrent. Hence is positive recurrent.
Apply the method to the linear test equation and put . Solving the implicit stage gives the stability function
If , the quadratic numerator makes unbounded as , so the method cannot be A-stable. For ,
which is the trapezoidal rule stability function and satisfies whenever . Therefore
Writing at , the implicit stage has the expansion
Thus one step is
The exact Taylor expansion has third-order term
The coefficients agree through order two for every real , while the coefficient prevents order three for any . Hence the order of a Runge-Kutta method is
(The linear special case has one extra matched term when , but the order for general nonlinear equations remains two.)

There are unlisted articles, also show them or only show them.