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Black hole thermodynamics applies to Entropy. Activate to inspect this relation.Chemical thermodynamics depends on Entropy. Activate to inspect this relation.Digital filter applies to Signal. Activate to inspect this relation.Entropy constrains Efficiency. Activate to inspect this relation.Entropy measures Microstate. Activate to inspect this relation.Entropy is part of Free energy. Activate to inspect this relation.Entropy is analogous to Shannon entropy. Activate to inspect this relation.Entropy applies to Information theory. Activate to inspect this relation.Entropy depends on Probability. Activate to inspect this relation.Gibbs free energy depends on Entropy. Activate to inspect this relation.Information theory depends on Shannon entropy. Activate to inspect this relation.Kolmogorov complexity is part of Information theory. Activate to inspect this relation.Neural signal is a Signal. Activate to inspect this relation.Noise influences Signal-to-noise ratio. Activate to inspect this relation.Noise suppresses Signal. Activate to inspect this relation.Nyquist frequency constrains Signal. Activate to inspect this relation.Nyquist–Shannon sampling theorem constrains Sampling rate. Activate to inspect this relation.Nyquist–Shannon sampling theorem explains Aliasing. Activate to inspect this relation.Nyquist–Shannon sampling theorem is part of Information theory. Activate to inspect this relation.Second law of thermodynamics explains Entropy. Activate to inspect this relation.Shannon entropy applies to Probability. Activate to inspect this relation.Signal enables Information. Activate to inspect this relation.Signal applies to Information theory. Activate to inspect this relation.Signal-to-noise ratio applies to Noise. Activate to inspect this relation.Signal-to-noise ratio measures Signal. Activate to inspect this relation.Nyquist–Shannon sampling theoremInformation theorySampling rateAliasingEntropySignalShannon entropyKolmogorov complexityEfficiencySecond law of thermodynamicsGibbs free energyProbabilityChemical thermodynamicsMicrostateFree energyBlack hole thermodynamicsInformationNeural signalNoiseSignal-to-noise ratioNyquist frequencyDigital filter
Relationship types

17 concepts viewed through this lens. Bridge concepts connect this view to Acoustics, Algorithms, Audio Engineering, Audiology….

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  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
22 concepts25 relationships24 disciplines6 relation families

Nyquist–Shannon sampling theorem

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At a glance

A signal can be reconstructed exactly if it is sampled at more than twice its highest frequency.

Disciplines
Signal Processing · Mathematics · Information Theory
Role in the graph
Connector
Relationships
3 · 3 relation families
Mental models
2

What am I looking at?

In this lens (17)

Bridge concepts (32)

Just outside the lens — they connect it to other context.

  • Probability2
    Mathematics, Probability, Statistics · connects to Entropy, Shannon entropy
  • Algorithm1
    Algorithms, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation · connects to Data compression
  • Aliasing1
    Signal Processing · connects to Nyquist–Shannon sampling theorem
  • Attenuation1
    Telecommunications Engineering · connects to Signal-to-noise ratio
  • Auditory masking1
    Acoustics, Audiology, Psychoacoustics · connects to Audio data compression

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 24 disciplines: Audio Engineering, Biology, Chemical Engineering, Chemistry, Communication Science, Computer Science, Economics, Electrical Engineering, Engineering, Environmental Engineering, Human-Computer Interaction, Information Theory, Mathematics, Neuroscience, Physical Chemistry, Physics, Physiology, Probability, Signal Processing, Statistical Physics, Statistics, Sustainability Science, Telecommunications Engineering, Thermodynamics.
  • Nyquist–Shannon sampling theorem is a bridge concept — viewed here through Information Theory, Mathematics, Signal Processing.
  • The connections here span 6 relation families.
  • Information explains 5 concepts in this view (Biology, Communication Science, Computer Science, Electrical Engineering, Human-Computer Interaction, Information Theory, Mathematics, Neuroscience, Physiology, Signal Processing, Statistics, Telecommunications Engineering).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

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A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.