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Physics

← Back to Prime Abstractions by Origin Domain

76 primes originate from Physics and 61 more draw from it as a secondary origin — sort the Origin column to separate them. They span 37 subdomains; sort by that column to group them, or click any subdomain to filter to it.

PrimeOriginSubdomainDescription
Allometry and Scaling LawAlso draws fromProperties scale nonlinearly with size according to characteristic exponents.
AmplificationPrimary—Increase signal or disturbance.
AnisotropyPrimary—Make a property or response depend on direction, orientation, or axis in the carrier, so rotating the same probe changes the measured relation.
ApproximationAlso draws from—Good-enough representation.
Assortative MixingPrimaryDetect and quantify whether network edges join nodes whose declared attributes are more similar—or more dissimilar—than an edge-end baseline predicts.
Asymmetric FluxPrimaryA direction- or channel-selective boundary drives accumulation even under symmetric forcing.
AsymmetryAlso draws from—Directed imbalance in a relation whose two sides are not interchangeable under swap.
BalanceAlso draws from—Even distribution of elements.
BimodalityAlso draws fromA distribution has two separated local maxima with a lower-density interval between them, a shape that constrains but does not by itself identify the process that produced the two modes.
CalibrationAlso draws fromAligning a system's output to a trusted reference by measuring deviation, adjusting to reduce it, and monitoring for drift.
Calibration AnomalyPrimaryA quantitative theory-vs-observation gap that survives noise and measurement error and constrains which assumption is wrong.
CausalityAlso draws from—Cause-effect relationships.
ChaosAlso draws from—Unpredictable dynamics.
CoaxialityAlso draws from—Two or more spatial entities are coaxial when their constitutive axes coincide, allowing placement, rotation, and radial offset to be reasoned about relative to one common line.
Coherence Breakdown Under External InteractionPrimary—The loss of a system's internal phase alignment or coordination when it couples to an uncontrolled, noisy environment that drains coherence into inaccessible correlations.
ConcentrationAlso draws fromMassing a divisible resource or effort at the decisive point rather than spreading it thin — the deliberate creation of local superiority by accepting weakness elsewhere.
Conjugate VariablesPrimary—Interlinked variable pairs.
Conjugate-Observable ComplementarityPrimaryCertain observable pairs cannot be jointly specified to arbitrary precision because sharpening one structurally blurs its conjugate — a built-in trade-off of the system, not a measurement limitation.
Conservation LawsPrimary—Quantities remain constant.
ContinuityAlso draws from—Smooth change without jumps.
Continuity vs. RuptureAlso draws from—Gradual vs abrupt change.
ConvectionPrimary—Circulatory process via gradients.
CorrelationAlso draws from—Systematic co-variation between variables, distinct from causation.
Correspondence PrinciplePrimary—New theories match old limits.
Counter-Current ExchangePrimaryTwo streams flowing in opposite directions along a shared interface preserve a near-constant driving gradient along the whole contact, lifting extraction efficiency toward unity.
CouplingAlso draws from—Interdependence among subsystems.
CovarianceAlso draws fromCenter two varying quantities, multiply their paired deviations, and average: the signed result reveals whether departures co-move while retaining their joint scale rather than normalizing it away.
Critical MassPrimary—The minimum quantity needed to sustain a self-perpetuating process.
CriticalityPrimaryRegime poised at a phase boundary where response becomes scale-free and correlations diverge.
DampingPrimary—Reduce oscillations.
Degrees of FreedomPrimary—Independent parameters.
Detailed balancePrimary—Require every elementary transition channel at stationarity to be individually matched by its designated reverse, eliminating pairwise probability or material currents rather than only their aggregate.
DeterminismAlso draws from—Present state plus laws fix exactly one successor state.
DiffusionPrimary—Spread over time.
DimensionAlso draws from—Degrees of freedom in a system.
Dimensional AnalysisPrimary—Ensures consistency in units.
Discrete vs. Continuous (Quantization)Primary—Step vs continuous evolution.
DiscretenessAlso draws from—Countable steps.
DispersionPrimaryA co-launched bundle separates because propagation rate depends on a per-component property.
DissipationPrimaryIrreversible conversion of organized energy or order into thermalized, unrecoverable form across many degrees of freedom.
DistanceAlso draws fromA nonnegative measure or ordering of separation between two entities under a specified space, representation, path convention, or dissimilarity rule.
DualityAlso draws from—Complementary perspectives.
EmergenceAlso draws from—Complex patterns from simple rules.
EnsemblePrimary—Multiple comparable realizations are generated or assembled and analyzed together through a probability model and aggregation rule to characterize a distribution rather than a single trajectory.
EntanglementPrimary—Linked distant states.
Entropy (Thermodynamic Sense)Primary—Log-count of microstates consistent with a macrostate; non-decreasing in an isolated system.
Environmental Coupling StrengthAlso draws from—Rate of energy, information, or material exchange across boundary.
EquilibriumPrimary—Balanced state.
Equivalence PrinciplePrimary—Gravity indistinguishable from acceleration.
EquivarianceAlso draws from—A map whose output transforms in step with transformations of its input.
Expected ValueAlso draws fromAverage a random quantity against its probability measure: the resulting linear functional compresses a distribution to its first moment while discarding dispersion, tails, and other shape.
FlowPrimary—Structured movement of energy, matter, or information.
FoldPrimaryA layered or extended structure absorbs applied stress by bending rather than breaking, preserving continuity through curvature.
Foreseeing (Prediction)Also draws from—Predict future states.
Fractal GeometryAlso draws from—Self-similar patterns.
Frame of ReferencePrimary—Observational perspective.
Gauge Invariance / Gauge SymmetryPrimary—Equivalent representations.
GradientAlso draws from—Distribution and change over space/time.
Gradual DeteriorationAlso draws from—The incremental, often invisible decay of a system as sub-threshold stressors accumulate damage until capacity collapses, posing greater risk precisely because the slow progression is easy to overlook.
Half-LifePrimary—Time to halve quantity.
Hidden Path and Barrier CrossingPrimary—Non-obvious transitions.
HysteresisPrimary—Path dependence.
InertiaPrimary—Resistance to change.
InfinityAlso draws from—Unbounded quantity.
Input PartitionPrimaryOne incident quantity is split among mutually exclusive output channels whose amounts or fractions exhaust the input, so changing one share necessarily changes at least one other under a closure constraint.
InstabilityPrimary—Amplifies perturbations.
IntermittencyPrimary—Irregular bursts.
InvarianceAlso draws from—Properties unchanged under transformation.
IrreversibilityPrimary—Cannot revert state.
Law (Universal Principle)PrimaryA law, in the universal-principle sense, asserts an invariant relation that holds necessarily or without admitted exception throughout a declared domain and conditions.
LinearityAlso draws from—Proportional output.
Mach's PrinciplePrimary—The thesis that a body's inertia is not intrinsic but arises from its relation to the total distribution of matter in the universe, making local inertial structure a consequence of global contents.
Markov ProcessAlso draws fromFuture state depends only on the present, not the full history.
Measurement and DisturbancePrimaryObtaining information while minimizing measurement perturbation.
MixingPrimaryRedistribute distinguishable constituents among local regions so composition becomes less dependent on original position, while preserving the total amount being rearranged.
Modal ReasoningAlso draws fromReasoning about necessity, possibility, and contingency.
Monte Carlo SimulationAlso draws from—Random sampling approximation.
Multiplicative Random GrowthAlso draws fromIndependent proportional shocks compound a positive state multiplicatively, so its logarithm follows an additive random walk and, under finite-variance increments, its cross-sectional distribution tends toward log-normal.
Noether's TheoremPrimary—Symmetry links to conservation.
Non-LocalityPrimaryDistant elements influence or correlate with each other without a chain of contiguous intervening contact — coupling that jumps the substrate rather than propagating through neighbors.
NonlinearityAlso draws from—Disproportionate output.
Number DensityPrimaryCount the members of a specified population per associated spatial extent, keeping the region, dimension, and counting or estimation rule with the value.
Number DensityAlso draws fromCount the members of a specified population per associated spatial extent, keeping the region, dimension, and counting or estimation rule with the value.
Observer EffectPrimary—Observation alters system.
Order of MagnitudeAlso draws fromAn order of magnitude is a logarithmic scale class that groups quantities by powers of a fixed base, conventionally ten, so multiplicative differences can be compared by integer-scale separation rather than exact value.
OscillationPrimary—Repeated variation.
PeriodicityAlso draws from—Regular cycles.
PermutationAlso draws fromReassign every member or position of a collection exactly once, preserving membership while changing arrangement; the resulting bijective self-maps compose, invert, and decompose into cycles.
PerturbationPrimary—Small disturbance.
Perturbation TheoryPrimary—A technique for handling an intractable problem by splitting it into an exactly solvable baseline plus a small correction, then expanding the quantities of interest as a power series in that small parameter.
Phase DiagramPrimary—Maps system states.
Phase SpacePrimary—All possible system states.
Principle of Least ActionPrimary—Optimal system paths.
Progressive Refinement from Core ModelAlso draws from—Incremental refinement.
PropagationPrimary—The systematic spreading of a signal, effect, or state from a source through a medium or network, where the medium's structure governs how fast it moves, how it attenuates, and which paths it follows.
Random WalkAlso draws from—A trajectory built as the running sum of independent random increments, whose displacement grows like the square root of the number of steps.
RandomnessAlso draws from—Model unpredictability.
Reciprocal Additivity (Optic Equation)Also draws from—Relate nonzero inputs to one effective result by requiring the reciprocal of the result to equal the sum of the input reciprocals, so parallel contribution becomes ordinary addition after reciprocal transformation.
RecurrenceAlso draws from—The property by which a state, event, or value reappears across time or iterations because the present state depends on prior states, distinct from mere repetition by its measurable lag structure.
ReductionismAlso draws fromExplaining a whole entirely in terms of its constituent parts.
RenormalizationPrimary—Adjust parameters across scales.
ResonancePrimary—Amplified response at frequency.
Rule of LawAlso draws fromNo element of a system is exempt from its governing rules, including the element that generates or enforces them.
ScaleAlso draws from—Properties change with size.
Scale InvariancePrimary—Behavior unchanged under scaling.
Scaling and Scale DependenceAlso draws fromPatterns and constraints change qualitatively across different scales.
Second Law of ThermodynamicsPrimary—Entropy increases.
Selective PropagationPrimaryA heterogeneous population moves through one carrier or medium while a component property controls continued passage or dropout, so the population that reaches farther is systematically composition-shifted even when the survivors move at the same speed.
Self-OrganizationAlso draws from—Order without central control.
Signal Decay and FadeoutPrimary—Signals, influence, or effects systematically weaken over time or space.
Signature-Borne ProvenancePrimaryA conservative property carries origin through transport, read back without a custody chain.
Simulated AnnealingAlso draws from—Probabilistic search escaping local optima.
State and State TransitionAlso draws from—Captures system condition and evolution.
StationarityAlso draws from—Stable statistical properties.
Stochastic ProcessAlso draws fromA quantity indexed (usually by time) whose evolution is governed by randomness — an indexed family of random variables sharing one probability law.
Stochasticity vs. DeterminismPrimary—System behavior fully determined by prior state or fundamentally random.
Stress and RuptureAlso draws from—Accumulated tension leads to break.
SuperpositionPrimary—Multiple states coexist.
SymmetryAlso draws from—Invariance under transformation.
Symmetry BreakingPrimary—Loss of symmetry creates structure.
SynchronizationPrimary—The emergence of stable shared timing or phase among independent oscillating processes through local coupling, without any central conductor.
Thermodynamic EquilibriumPrimary—No net flows.
Thought ExperimentAlso draws from—Test a claim or expose a concept by stipulating an imagined case, propagating its constraints, and treating the resulting fit, conflict, or consequence as evidence for revision.
ThresholdAlso draws from—Safe vs harmful levels.
Threshold-Driven Order EmergencePrimary—Order after critical point.
TimePrimary—The dimension that orders events from earlier to later with measurable duration and an irreversible direction, providing the foundation for change, rate, and causality.
Tipping Points (or Phase Transitions)Primary—Abrupt state change.
Topographic ForcingPrimaryA fixed boundary's relief reorganizes a passing flow, converting background transport into localized deflection, vertical motion, wakes, mixing, or flux concentration.
Transient ResponseAlso draws fromThe time-course by which a system approaches (or departs from) a state after a disturbance — the trajectory between disturbed and settled, with a named anatomy (settling time, relaxation time, overshoot, damping) that is distinct from the resting state it approaches.
TurbulencePrimary—Chaotic multi-scale flow.
UncertaintyAlso draws from—Incomplete knowledge.
UniversalityPrimarySystems with different microscopic detail obey identical macroscopic laws because only a low-dimensional signature survives coarse-graining.
Universality in Critical PhenomenaPrimary—Shared scaling laws.
VariabilityAlso draws from—Differences across instances.
WavePrimary—Propagating disturbance.
Wave-Particle DualityPrimary—Dual nature of matter.
Yield LossPrimaryThe gap between a transformation's theoretical maximum output and its realized output, decomposed under a balance constraint into named loss channels that sum to the deficit and can be ranked and attacked.