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When physical wavelengths greatly exceed the Hubble radius, spatial derivatives are small compared with temporal expansion scales. A cosmological gradient expansion then approximates neighbouring regions as locally homogeneous universes, while retaining finite perturbation amplitudes. This does not alone discard frozen tensor cosmological perturbations.

For a surjective ring endomorphism $f$ of a Noetherian ring, the ascending kernel chain $\ker f\subseteq \ker f^2\subseteq \cdots$ stabilizes. If $\ker f^m=\ker f^{m+1}$ and $f(a)=0$, choose $b$ with $f^m(b)=a$. Then $b\in \ker f^{m+1}=\ker f^m$, so $a=0$. Thus the endomorphism is a ring automorphism.

The slip length measures tangential wall mobility in the Navier slip boundary condition. Where the wall shear rate is nonzero,The numerator is a velocity and the denominator has units ${\mathrm{s}}^{-1}$, so $b$ has units of length. Geometrically, take a local inward normal coordinate $s$, with the wall at $s=0$. The tangent line to the relative velocity profile isIt reaches zero at $s=-b$, a fictitious distance $b$ inside the solid. This extrapolation does not assert that fluid exists there. At a moving wall, extrapolate to the wall's velocity, rather than to zero laboratory velocity. If both the wall shear rate and relative velocity vanish, their ratio cannot determine $b$.

The useful comparison is $b/H$, where $H$ is the channel gap. A small absolute slip length can noticeably change volumetric flow rate in a micrometre-scale channel. Measured effective slip length may summarize unresolved interfacial structure; it need not mean literal molecular sliding at every point. The review distinguishes intrinsic, apparent and effective slip and discusses how surface conditions affect measurements. ^[ref]

For a subset $A$ of the positive integers, its upper asymptotic density isThe limit superior keeps the largest limiting proportion even when the running proportions oscillate. Because they lie in $[0,1]$, this limit superior always exists in $[0,1]$. If natural density exists, upper asymptotic density equals it.

The convention here uses $1,\dots ,N$, while natural density above uses $0,\dots ,N-1$. Replacing one interval by the other changes a count by at most one, so the proportions differ by at most $1/N$ and have the same limit superior. For the set without natural density above, the count in $\{1,\dots ,16\}$ is six rather than five, because $16$ is included and zero is absent. Nevertheless its upper asymptotic density is exactly $2/3$. The even positive integers have upper asymptotic density $1/2$ and the prime numbers have upper asymptotic density zero.

The useful feature is that a large proportion along arbitrarily large initial integer intervals already supplies structure. The Szemerédi theorem says that positive upper asymptotic density forces arithmetic progressions of every finite length, with positive common difference, even without an existing natural density. Szemerédi's 1975 paper resolved this general finite-length problem; it makes density a bridge from counting to additive structure. ^[ref]

A minimizer of the Mumford–Shah functional with bounded image signal data has an essentially closed jump set: replacing $J_u$ by its relative closure adds no $(n-1)$-dimensional measure. Its complement supports a Sobolev representative. This regularity theorem connects a relaxed SBV space minimizer to the classical closed-edge formulation; it is not a property of every special bounded-variation function.

The infinite gradient-weight limit restricts to SBV space image signals with $\nabla u=0$ almost everywhere. Their energy is fidelity plus jump length, represented by constants on a Caccioppoli partition. Internal perimeter is counted once by $\frac{1}{2}{\sum }_i\mathrm{Per}(E_i;\Omega )$; adjacent equal-valued regions can be merged.

As the jump-length weight tends to infinity with the gradient weight fixed, the limiting problem minimizes $\Vert u-g{\Vert }_2^2+\alpha \Vert \nabla u{\Vert }_2^2$ on $H^1$. It has a unique minimizer by the Lax-Milgram theorem and strict convexity. Without prescribed boundary values, its weak equation is $u-\alpha \Delta u=g$ with natural Neumann boundary conditions.

If $X,Y$ are independent and identically distributed random variables with a centered multivariate normal distribution and covariance matrix $\Sigma$, then $(U_{\theta },V_{\theta })$ has the same probability law as $(X,Y)$. Its two marginal covariance matrices are $\Sigma$ and its cross-covariance is zero. The pair has a multivariate normal distribution, so the two components are independent. This remains valid when $\Sigma$ is singular.

For a nonnegative integer exponent, exponentiation iterates multiplication: $a^0=1$ and $a^{b+1}=a{a}^b$. This convention defines $0^0=1$ in primitive recursive arithmetic. Extensions to other exponents may use different domains and conventions.

The identity morphism on an object $A$ is the neutral element for composition in a category: $f{1}_A=f$ and $1_{A}g=g$ whenever the composites are defined.

Nested Monte Carlo approximates an outer expected value whose integrand contains another expected value. A nonlinear transformation, such as a logarithm, of an inner sample average usually introduces finite-sample bias. Increasing both sample sizes requires suitable integrability controls to establish consistency; an unbiased estimator of the inner quantity does not make its logarithm unbiased.

Independent uniform distribution draws $U_1,U_2$ on $(0,1)$ produce independent standard normal distribution draws $X_1=\sqrt{-2\log U_1}\cos (2\pi U_2)$ and $X_2=\sqrt{-2\log U_1}\sin (2\pi U_2)$. The proof transforms an independent uniform angle and radial density $r{e}^{-r^2/2}$ through the polar-coordinate Jacobian.

Replacing a simulated quantity $H$ by $E[H\mid \mathcal{G}]$ preserves its expectation and reduces variance by the law of total variance. This is Rao-Blackwellization. For a random sum, conditioning on the count and all but one summand replaces an event indicator by a cumulative distribution function evaluation. The resulting estimator needs that conditional expectation to be computable.

For a modular machine whose $(0,0)$ is terminal, $H_0(\mathcal{M})$ is the set of configurations whose forward computation reaches exactly $(0,0)$, including the zero-step computation there. It may differ from the set of configurations stopping at any terminal configuration. Determinism makes membership invariant along each instruction edge.

A modular machine can be encoded by HNN extensions of $K={\mathbb{Z}}^2\ast ⟨t⟩$. The kernel of $K\to {\mathbb{Z}}^2$ has a free basis of a group $t(r,s)=x^{-r}{y}^{-s}t{x}^r{y}^s$. Associated-subgroup maps send these basis elements according to the two arithmetic transition types. In the resulting group, membership of $t(r,s)$ in the subgroup generated by $t$ and the instruction stable letters is equivalent to $(r,s)\in H_0(\mathcal{M})$. One more HNN extension centralizes that finitely generated subgroup, converting membership to equality and hence to the word problem for a group.

Two first-order structures are elementarily equivalent when they satisfy the same first-order sentences. They need not be isomorphic or embed into one another. Every elementary embedding implies elementary equivalence of its source and target.

Given nonempty first-order structures ${\mathcal{M}}_i$ and a proper filter on a set $F$, a reduced product identifies product functions $f,g$ when $\{i:f(i)=g(i)\}\in F$. Operations are interpreted coordinatewise, and relations hold when their coordinate truth sets belong to $F$. For an ultrafilter this is an ultraproduct. Primitive positive formulas transfer through an arbitrary proper filter, whereas logical disjunction and logical negation can fail to transfer.

For a first-order theory $T$ and $A\models T_{\forall }$, an algebraically prime extension is a structure embedding $i:A\to P\models T$ such that every embedding $j:A\to N\models T$ factors as $j=h\circ i$ for some structure embedding $h:P\to N$. The embeddings need not be elementary or unique. A theory has algebraically prime models when every such $A$ has an extension of this kind.

This first-order theory has as models the nonzero torsion-free divisible Abelian groups. Rational division equips them with the structure of vector spaces over the rational numbers. A rational divisible hull gives an algebraically prime extension of each nonzero torsion-free base, while the zero base uses a one-dimensional rational space.

The theory of formally real fields consists of the field axioms and all sentences asserting that $-1$ is not a sum of $m$ squares, one for each positive integer $m$. The real closure theorem and model completeness make the Theory of real closed fields its model companion.