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An inference rule deriving a clause from two clauses containing complementary literals. In propositional logic the displayed rule eliminates the atom $A$. For first-order clauses, complementary atoms can first be made identical by a suitable first-order substitution.

A Hilbert proof system specifies axiom schemes and inference rules, commonly including modus ponens. A formal proof is a finite sequence of axiom instances, permitted assumptions and conclusions obtained from preceding lines by those rules. Soundness and completeness compare this syntactic derivability with semantic validity or semantic entailment. These properties concern the particular chosen axioms and rules.

A procedure passed as an argument to another procedure. For a nested procedure under lexical scope, the argument must preserve both its code and its defining environment, for example as a programming closure.

Here $\alpha >0$ and $q,p,\gamma$ are real functions of time. Differentiation in position gives ${\psi }_x=[-\alpha (x-q)+ip/\hslash ]\psi$. The standard probability current is thereforeFor a coherent state moving in a quadratic Hamiltonian, the centre follows the classical equation $\dot{q}=p/m$, so the current is the normalized Gaussian probability density transported at its centre velocity. The factor $\sqrt{\alpha /\pi }$ is essential: omitting it changes the current by a dimensional constant and violates the continuity equation for the normalized density. A spatially constant phase does not affect the current.

Let two first-order models satisfy a complete theory and suppose every element of the first is the value of a closed term. Send each such value to the value of the same first-order term in the second first-order model. Completeness decides all logical equality first-order sentences, making this map well-defined and injective. It also decides every logical formula with closed terms substituted, making the map elementary. Thus the first first-order model is prime.

The prime ideals $P$ of $\mathbb{Z}[t]$ with $P\cap \mathbb{Z}=\{0\}$ are the zero ideal and the principal ideals $(f)$ generated by nonconstant primitive polynomials that are irreducible in $\mathbb{Q}[t]$.

To prove the description, invert the nonzero integers to obtain the localization $\mathbb{Q}[t]$. The extension of an ideal $P$ consists of the polynomials $f/n$ with $f\in P$ and $n>0$. Its contraction is $P$: if $nh\in P$ and $n\ne 0$, the defining condition puts $n\notin P$, so primeness gives $h\in P$. The prime ideal correspondence for localization makes this extension a proper prime ideal of $\mathbb{Q}[t]$.

If $P\ne 0$, its extension has a nonzero generator because $\mathbb{Q}[t]$ is a principal ideal domain. Dividing this generator by its rational polynomial content gives an integer-coefficient primitive polynomial $f$ generating the same extended ideal. Divisibility descent by Gauss lemma for polynomials then gives $P=(f)$ in $\mathbb{Z}[t]$. The proper prime ideal $(f)$ in $\mathbb{Q}[t]$ makes $f$ irreducible there. Conversely, any such polynomial generates a prime ideal in $\mathbb{Q}[t]$ whose contraction is $(f)\subset \mathbb{Z}[t]$ and whose intersection with $\mathbb{Z}$ is zero.

The intersection condition is essential: $(2,t)$ is a maximal ideal of $\mathbb{Z}[t]$, since its quotient ring is ${\mathbb{F}}_2$, but it is not principal. A common divisor of $2$ and $t$ must be a unit, which would generate the whole ring.

Along a boundary-layer streamline directed by increasing $s$, an adverse pressure gradient is a rise in pressure in the direction of flow. The associated pressure gradient force opposes the velocity. In a steady inviscid outer stream the Euler equation gives $UdU/ds=-{\rho }^{-1}dp/ds$, so a positive gradient decelerates a positive outer velocity. Within a viscous boundary layer the slower fluid near the wall has less streamwise momentum and can reverse while the outer stream still moves forward. The onset of flow separation is therefore associated with vanishing and then reversed wall shear stress. A pressure rise does not by itself locate separation: the full boundary-layer solution and upstream history also matter.

A pressure increment applied to a confined fluid in equilibrium is transmitted throughout it. The pressure increment is a scalar, not a force vector copied in one direction. Comparing different heights also requires the hydrostatic pressure difference. Finite-speed pressure wave propagation precedes the new equilibrium.

An instrument measuring atmospheric pressure. A mercury barometer compares the hydrostatic pressure of a measured mercury column with the pressure above it. Its equation is $p_{\mathrm{atm}}=p_t+\rho gh$, with $h$ the vertical separation of the liquid levels.

A pressure difference compares the pressures at two stated locations or against two reference states. With $\Delta p=p_1-p_2$, a positive value means location one has higher pressure. A membrane or piston with equal effective face areas $A$ experiences a net pressure force of magnitude $|\Delta p|A$, even if both absolute pressures are large.

For example, pressures $120\mathrm{kPa}$ and $100\mathrm{kPa}$ across $10^{-3}{\mathrm{m}}^2$ give a net pressure force of $20\mathrm{N}$. A liquid-column manometer converts a pressure difference to a vertical level difference through hydrostatic pressure, while a differential pressure transducer senses it directly. Comparing ports at different heights requires accounting for the fluid between them. During flow, the relation between pressure difference and volumetric flow rate also depends on geometry, viscosity and other contributions to the energy balance.

For the Hermite differential equation $f^{\prime \prime }-2\xi f^{\prime }+(ϵ-1)f=0$ with real $ϵ$, the wavefunction $e^{-{\xi }^2/2}f$ is square integrable on the real line only if $f$ is a polynomial. To prove this without assuming that even and odd tails cannot cancel, project a square-integrable solution onto its even and odd parts first. Each projection remains square integrable and satisfies the same equation.

In either nonterminating parity sequence, $b_j=a_{2j+p}$ obeysThe tail has constant complex phase. For any fixed $0<\delta <1/2$, comparison with $(1-\delta )/(j+1)$ bounds its coefficient magnitudes below by $K(1-\delta {)}^j/j!$ for sufficiently large $j$. Thus on the positive real axis the tail dominates a positive multiple of ${\xi }^p{e}^{(1-\delta ){\xi }^2}$ after subtraction of finitely many terms. The Gaussian function factor leaves exponential growth $e^{(1/2-\delta ){\xi }^2}$, contradicting the square-integrable condition. Hence each nonzero parity sequence terminates. Its top coefficient forces $ϵ=2n+1$, giving Hermite oscillator quantization and a Hermite polynomial of degree $n$.

At a stationary point of the power penalty, define the displayed multiplier estimates. Its stationarity equation becomes $\nabla f-D{c}^{T}y=0$. If $\mu \downarrow 0$ and these multipliers are bounded, then each $c_i\to 0$. Along any convergent primal subsequence, a further multiplier subsequence converges and yields equality-constrained first-order KKT conditions at the limit. This is a statement about finite cluster points: bounded multipliers alone do not prove convergence or boundedness of the primal iterates.

In uniform gravity a body's gravitational potential energy is its mass times gravitational acceleration times the Cartesian height of its centre of mass. If that height is represented by an axis distance $h$ and tilt angle $\theta$, it is $h\cos \theta$ and the energy becomes $Mgh\cos \theta$. Treating $h$ simultaneously as a Cartesian height would introduce an extra, unjustified cosine.

Historical pharmaceutical preparation; its composition and clinical use must be identified by edition. ^[ref]

Near an equilibrium, a positive-definite scalar function has value zero at that point and is strictly positive at every other nearby point. This scalar notion differs from positive definiteness of a kernel.

The abducens nucleus lies in the dorsal pons and contains neurons involved in horizontal eye-movement control. Its motor output reaches the lateral rectus through the abducens nerve. A nuclear lesion can affect coordinated gaze more broadly than an isolated peripheral nerve lesion.

The facial motor nucleus is a pontine motor nucleus whose axons travel in the facial nerve to facial-expression muscles. Its fibers curve around the abducens nucleus, contributing to the facial colliculus. The surface landmark therefore reflects more than one nerve system.

A vestibular nucleus is one of the brainstem nuclei processing input from the vestibular system and connected pathways. Outputs contribute to eye movements, posture and further central processing. These nuclei combine incoming signals rather than merely reproducing one peripheral measurement.

The locus coeruleus is a pontine nucleus containing many noradrenaline-releasing neurons with widespread projections. It participates in state-dependent regulation of neural activity. Activity in this population is one component of a distributed system rather than a complete scalar measure of arousal.

For a nonzero polynomial $g\in \mathbb{Q}[t]$, choose a positive integer $n$ clearing its denominators and set $c(g)=c(ng)/n$, where the polynomial content of an integer-coefficient polynomial is the positive greatest common divisor of its coefficients. This is independent of $n$: if $f/n=h/m$, then $mf=nh$, hence $mc(f)=nc(h)$.

The integer-coefficient product formula from Gauss lemma for polynomials givesMoreover $g/c(g)$ is an integer-coefficient primitive polynomial: if $g=f/n$, then $g/c(g)=f/c(f)$. For example,This normalization proves a useful divisibility descent. If $f\in \mathbb{Z}[t]$ is primitive, $g\in \mathbb{Z}[t]$ and $g=fq$ for $q\in \mathbb{Q}[t]$, then $c(q)=c(g)$ is an integer. Since $q/c(q)\in \mathbb{Z}[t]$, it follows that $q\in \mathbb{Z}[t]$.