Write with minimal polynomial of degree . An embedding is determined by the image of , and each of the distinct complex roots gives one embedding, so there are exactly .
For an integral basis , the field discriminant is
Order the embeddings with all real embeddings first and each nonreal embedding adjacent to its conjugate. Replacing each conjugate pair of rows by their real and imaginary parts extracts one factor from the determinant. The remaining determinant is real and nonzero. Squaring shows
where is the number of conjugate pairs.
If is Galois, form the norm polynomial
The Galois group permutes the factors, so . Since the identity factor is , taking proves the claim.
If is merely finite separable, place it in a finite Galois closure and use the same product over . It gives divisible by in . Polynomial division of by uses only coefficients in , and the remainder is zero, so the quotient actually lies in . It is nonzero and satisfies .
For roots , the discriminant is
and for ,
If is irreducible, its Galois group is transitive in : it is when is a square in , and otherwise. If has one root in and an irreducible quadratic factor, the group is ; if it splits, it is trivial. A repeated-root depressed cubic already has all roots in , so adds no case.
For , the rational-root test proves irreducibility and
is not a rational square. Thus . By the fundamental theorem of Galois theory, the complete subfield list is
where the three cubic fields fix the three order-two subgroups and the quadratic field fixes .
The edge chromatic number is the least number of colors in a proper coloring of edges, where incident edges receive distinct colors. Hall marriage theorem says a bipartite graph has a matching saturating one side exactly when for every subset of that side.
In a 4-regular bipartite graph, the edges leaving all enter , whose vertices can receive at most such edges. Hence Hall's condition holds and there is a perfect matching. Remove it and repeat in the resulting 3-, 2-, and 1-regular bipartite graphs. The four perfect matchings give a four-edge-coloring, while every vertex requires four distinct colors. Therefore
Euler's formula for a connected plane graph is . If the graph is triangle-free, every face has boundary length at least four, so
Euler's formula then gives , so the average degree is less than four. There is a vertex of degree at most three. Delete it, color the remaining graph inductively with four colors, and restore it using a color absent from its at most three neighbors. Thus
A graph is -connected when it has more than vertices and remains connected after deletion of fewer than vertices. In a noncomplete 3-connected graph, choose a vertex with two nonadjacent neighbors . Since is connected, take a spanning tree rooted at and order its vertices so every vertex other than has a later tree neighbor. Color and first with the same color, then greedily color the other vertices in reverse tree order, leaving last. Every nonfinal vertex has one uncolored neighbor and therefore sees at most colors. At , the two neighbors share a color, so again at most colors occur. Hence
This is the relevant 3-connected case of Brooks' theorem.
A proper -coloring assigns one of colors to each vertex so adjacent vertices receive different colors. The chromatic number is the least such . Order the vertices arbitrarily and color greedily. At most colors are forbidden by previously colored neighbors, so
Equality occurs for every possible maximum degree: use for , for , an odd cycle for , and for every .
Let be an order isomorphism onto a down-set, and let be an order isomorphism onto the complement of a down-set . Define increasing down-sets
The order assumptions ensure inductively that each is a down-set. Define
The usual Cantor-Schröder-Bernstein theorem orbit argument shows that these two pieces partition both domain and codomain bijectively: points generated from move forward through , while every remaining point lies in and moves backward through . Each branch preserves order. If and then ; hence the only mixed case has , and the initial/final-segment hypotheses put . Thus is an order isomorphism and
The Knaster-Tarski theorem says that the fixed points of a monotone self-map of a complete lattice form a complete lattice. In particular,
For the first formula, let be the displayed meet. Monotonicity gives for every prefixed point , hence . Then , so is itself prefixed; minimality of gives . Thus . The dual argument gives the greatest fixed point. Applying the same construction above the join of any family of fixed points, and dually below its meet, supplies joins and meets within the fixed-point set.
A down-set contains every element below any of its members. Arbitrary unions and intersections of down-sets are down-sets. Thus the down-sets of , ordered by inclusion, have joins given by unions and meets by intersections, so they form a complete lattice.
For the requested counterexample, take
with their usual orders. The set is a down-set in , while is order-isomorphic to the down-set of . They are not isomorphic because has a greatest element and does not.
Neglecting the pressure and self-gravity bracket leaves
During radiation domination, and , so
Consequently
Matter perturbations therefore grow only logarithmically while radiation dominates.
Take the divergence of the linear Euler equation, use , and differentiate the continuity equation. Eliminating gives
The perturbed Poisson equation is
Thus
Here is the comoving Jeans wavenumber.
The homogeneous Euler equation removes the background force. Products of perturbations are second order, while differentiating the peculiar velocity inside the expanding flow produces the Hubble drag term. The first-order equation is therefore
The homogeneous part of the continuity equation gives . At first order,
For the density contrast , the background equation cancels the expansion terms, leaving
For real , collapse the Hankel contour onto the negative axis and use the jump in the argument of . The reflection formula for the gamma function yields
so . At positive integer , the original Hankel expression is interpreted by analytic continuation: the pole of cancels the corresponding zero of the contour integral.
When crosses the slit at , the pole of the real-integral kernel at crosses the integration path. The two boundary values differ by times its residue. Since there, that residue is , giving the jump
When is a nonpositive integer, is meromorphic and the Hankel contour may be shrunk to a small circle about zero. The integral is then computed by the residue at zero. This gives
These also follow by repeatedly applying to the geometric series.
For on the negative-real portions of the Hankel contour, expand
Local uniform convergence permits termwise integration. The reciprocal Hankel formula gives
so initially on the disc.
For , choose the contour around the negative axis so that it passes between zero and every pole satisfying . On compact subsets of the slit -plane it can be chosen uniformly, and differentiation under the integral proves holomorphy. Deforming without crossing a pole gives a single-valued analytic continuation. Near the cut, the pole lies on opposite sides of the two admissible contours; this is why the contour must pass it consistently.
For fixed , the factor grows at most polynomially in , whereas decays exponentially when . The defining series for the polylogarithm therefore converges absolutely and locally uniformly for every complex and . It is holomorphic in on the unit disc and entire in there.
A standard moment estimator is the Pearson dispersion estimator
For Bernoulli data, . The deviance divided by its residual degrees of freedom is a common alternative.
The residual deviance per residual degree of freedom is
reasonably close to one. The first and third quartiles of the deviance residuals, and , are also fairly close to the standard-normal quartiles . There is mild evidence of underdispersion, but nothing in this summary makes the binomial value one plainly unreasonable.
The code fits a Bernoulli logistic-regression model. Conditionally on the covariates, the responses are independent with
where the design includes the displayed numerical predictors and indicator columns for factor levels. It maximizes
Akaike information criterion is
where is the number of fitted parameters. Backward stepwise selection starts from the full model, tentatively removes each eligible term, chooses the removal producing the lowest AIC, and repeats while AIC decreases. It balances fit against model size rather than testing every coefficient at a fixed significance threshold.

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