Cut the square model of the Klein bottle along the midline parallel to the pair of sides whose identification reverses orientation. Each half becomes a Möbius band, and the two new boundary circles are identified. If and are the core loops of these two bands, each boundary travels twice around its core. The Seifert-van Kampen theorem therefore gives
Writing and converts this into the standard Klein-bottle presentation
The orientation homomorphism sends both and to the nonzero element of . Its kernel is the index-two subgroup
By the classification of connected covering spaces, determines the orientation double cover of the Klein bottle
Choosing torus generators along the two translation directions, we may take
These commute: the standard relation says that conjugates to , so centralizes .
The space is the mapping cylinder of with its unused end omitted. Sliding to gives a deformation retraction of onto the bottom quotient . Hence
Finally suppose is open and homeomorphic to , and identify the bottom copy of inside . This is compact and therefore closed in the Hausdorff space . Apply van Kampen, in its groupoid form if intersections are disconnected, to
The intersection deformation retracts to a positive-height torus, and its map to has image precisely
The orientation homomorphism
is zero on this intersection, so it is compatible with the trivial homomorphism from to . The pushout property in van Kampen extends it to a surjection
Therefore
This is the Klein-bottle mapping-cylinder obstruction to simple connectivity.
Two nonzero fractional ideals of are in the same ideal class when
for some , equivalently when is principal. Multiplication is well defined on classes:
The identity is , the inverse of is , and commutativity comes from ideal multiplication. Nonzero fractional ideals are invertible because is a Dedekind domain. Thus these classes form the abelian ideal class group .
For finiteness, begin with a nonzero integral ideal . By hypothesis choose with
Since , the ideal
is integral, represents , and satisfies
Hence every class has an integral representative of bounded norm. There are only finitely many integral ideals of bounded norm, so is finite. This is the bounded-norm ideal representatives argument.
Now take . Since ,
The imaginary-quadratic Minkowski bound for ideal classes is
Every class is therefore represented by an integral ideal of norm at most seven.
The ramified prime ideals above two and three are
with
Neither is principal, since the norm equation
has no integer solution. Their product is also nonprincipal, since has no solution. Thus
are four distinct classes, all of order at most two.
The prime five is inert, so it contributes no ideal of norm five. The prime seven splits as
Since
comparison of norms, all equal to , confirms the factorization and gives
The conjugate prime has the inverse class, which is the same because this class has order two. Ideals of norms four and six yield respectively the principal class and . The Minkowski bound now shows that the four displayed classes exhaust the group. Therefore
This is the Ideal class group of Q of square root of minus thirty-three.
The simple continued fraction algorithm for begins with . Its complete quotients repeat after
Thus
The convergents through one period are
The last one gives the negative Pell equation solution
Therefore
The Mackey restriction formula says, for an -representation ,
Frobenius reciprocity says
Applying both with an irreducible character gives
The identity double coset contributes one, and all terms are nonnegative integers. Therefore Mackey irreducibility criterion says that is irreducible exactly when every term belonging to a nonidentity double coset is zero.
Now take . Write
so . For , commutators of with generate , because conjugation sends to and one can choose . Every degree-one character of is therefore trivial on and has the form
where is a multiplicative character.
The Bruhat decomposition of SL2 over a finite field has two double cosets,
and . Conjugation by inverts , so
The only nonidentity Mackey term vanishes exactly when these two one-dimensional characters differ. Consequently
Thus the trivial character is excluded, as is the unique quadratic character when is odd. All other degree-one characters of induce irreducibly; the induced representations have degree . This is the irreducible principal series of finite SL2.
In the Erdős-Rényi model , the vertex set is and every one of the possible edges is present independently with probability .
Let count isolated vertices. If , the union bound gives
Thus .
Chebyshev inequality states that
Now suppose . Monotonicity lets us use the largest allowed . With
the supplied lower exponential estimate shows
For distinct vertices ,
Hence
and
Chebyshev with gives , so .
For connectivity, the lower-threshold result is immediate because a connected graph has no isolated vertex:
For the upper threshold, if a graph is disconnected it has a component with vertex set of some size . In particular, every one of the edges from to its complement is absent. Therefore
Choose
For , the standard bound gives
The sum of these terms tends to zero. For , use and :
Thus above the threshold. Together,
This is the connectivity threshold in the Erdős-Rényi model.
The gravitational three-body Lagrangian is
Put and . Solving the definitions of the Jacobi coordinates for three particles gives
Substitution into the kinetic energy makes all cross terms cancel:
where
The pair separations are
Hence the gravitational potential energy is
which is independent of . Thus is an ignorable coordinate and
The center of mass moves uniformly because the isolated system has no external force.
Finally, substituting the inverse coordinate transformation into
again cancels every cross term and yields
This is the angular momentum decomposition in three-body Jacobi coordinates.
This is attenuation bias from classical measurement error, also called regression dilution. The latent predictor is , but and are noisy proxies. The noisier proxy produces a slope closer to zero.
For a regression with an intercept, the population slope is
Here all variables are centred and the noises are independent. Therefore
so regressing on has slope . For
we have
Thus
With the stated values, the slopes are
matching the simulation.
Under this independent additive measurement-error model, the magnitude of the -on- slope is generally smaller than the magnitude of the -on- slope whenever . Increasing does not change the population slope, because response noise contributes neither to nor to . It increases residual variance and the sampling variability of the estimate; with one million observations, doubling it should leave the displayed slope close to while increasing its standard error.

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