Physics

61 primes originate from Physics. 37 more draw from it as a secondary origin.

Primary members (61)

Primes whose canonical origin is Physics.

• Amplification — Increase signal or disturbance.
• Anisotropy
• Coherence Breakdown Under External Interaction — 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.
• Conjugate Variables — Interlinked variable pairs.
• Conservation Laws — Quantities remain constant.
• Convection — Circulatory process via gradients.
• Correspondence Principle — New theories match old limits.
• Critical Mass — The minimum quantity needed to sustain a self-perpetuating process.
• Damping — Reduce oscillations.
• Degrees of Freedom — Independent parameters.
• Diffusion — Spread over time.
• Dimensional Analysis — Ensures consistency in units.
• Discrete vs. Continuous (Quantization) — Step vs continuous evolution.
• Ensemble — 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.
• Entanglement — Linked distant states.
• Entropy (Thermodynamic Sense) — Degree of disorder.
• Equilibrium — Balanced state.
• Equivalence Principle — Gravity indistinguishable from acceleration.
• Flow — Structured movement of energy, matter, or information.
• Fold — A layered or extended structure absorbs applied stress by bending rather than breaking, preserving continuity through curvature.
• Frame of Reference — Observational perspective.
• Gauge Invariance / Gauge Symmetry — Equivalent representations.
• Half-Life — Time to halve quantity.
• Hidden Path and Barrier Crossing — Non-obvious transitions.
• Hysteresis — Path dependence.
• Inertia — Resistance to change.
• Instability — Amplifies perturbations.
• Intermittency — Irregular bursts.
• Irreversibility — Cannot revert state.
• Mach's Principle — 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.
• Measurement and Disturbance — Obtaining information while minimizing measurement perturbation.
• Measurement Uncertainty And Complementarity
• Noether's Theorem — Symmetry links to conservation.
• Observer Effect — Observation alters system.
• Oscillation — Repeated variation.
• Perturbation — Small disturbance.
• Perturbation Theory — 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 Diagram — Maps system states.
• Phase Space — All possible system states.
• Principle of Least Action — Optimal system paths.
• Propagation — 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.
• Quantum Decoherence
• Quantum Tunneling
• Renormalization — Adjust parameters across scales.
• Resonance — Amplified response at frequency.
• Scale Invariance — Behavior unchanged under scaling.
• Second Law of Thermodynamics — Entropy increases.
• Signal Decay and Fadeout — Signals, influence, or effects systematically weaken over time or space.
• Stochasticity vs. Determinism — System behavior fully determined by prior state or fundamentally random.
• Superposition — Multiple states coexist.
• Symmetry Breaking — Loss of symmetry creates structure.
• Synchronization — The emergence of stable shared timing or phase among independent oscillating processes through local coupling, without any central conductor.
• Thermodynamic Equilibrium — No net flows.
• Threshold-Driven Order Emergence — Order after critical point.
• Time — 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) — Abrupt state change.
• Turbulence — Chaotic multi-scale flow.
• Universality in Critical Phenomena — Shared scaling laws.
• Wave — Propagating disturbance.
• Wave-Particle Duality — Dual nature of matter.
• Yield Loss — The 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.

Also draws from Physics (37)

Primes whose canonical origin is elsewhere, but who list Physics among their alternate origin domains.

• Allometry and Scaling Law — Properties scale nonlinearly with size according to characteristic exponents.
• Approximation — Good-enough representation.
• Balance — Even distribution of elements.
• Calibration — Aligning a system's output to a trusted reference by measuring deviation, adjusting to reduce it, and monitoring for drift.
• Causality — Cause-effect relationships.
• Chaos — Unpredictable dynamics.
• Correlation — Systematic co-variation between variables, distinct from causation.
• Coupling — Interdependence among subsystems.
• Crystallization
• Dimension — Degrees of freedom in a system.
• Discreteness — Countable steps.
• Duality — Complementary perspectives.
• Environmental Coupling Strength — Rate of energy, information, or material exchange across boundary.
• Equivariance — A map whose output transforms in step with transformations of its input.
• Gradient — Distribution and change over space/time.
• Gradual Deterioration — 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.
• Invariance — Properties unchanged under transformation.
• Linearity — Proportional output.
• Markov Process — Future state depends only on the present, not the full history.
• Modal Reasoning — Reasoning about necessity, possibility, and contingency.
• Monte Carlo Simulation — Random sampling approximation.
• Nonlinearity — Disproportionate output.
• Periodicity — Regular cycles.
• Progressive Refinement from Core Model — Incremental refinement.
• Randomness — Model unpredictability.
• Recurrence — 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.
• Reductionism — Explaining a whole entirely in terms of its constituent parts.
• Scale — Properties change with size.
• Scaling and Scale Dependence — Patterns and constraints change qualitatively across different scales.
• Sedimentation
• Self-Organization — Order without central control.
• Simulated Annealing — Probabilistic search escaping local optima.
• Stationarity — Stable statistical properties.
• Stress and Rupture — Accumulated tension leads to break.
• Symmetry — Invariance under transformation.
• Threshold — Safe vs harmful levels.
• Uncertainty — Incomplete knowledge.