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Entropy constrains Efficiency. Activate to inspect this relation.Second law of thermodynamics explains Entropy. 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.Signal sampling applies to Signal. Activate to inspect this relation.Sampling rate measures Signal sampling. Activate to inspect this relation.Nyquist–Shannon sampling theorem constrains Sampling rate. Activate to inspect this relation.Nyquist–Shannon sampling theorem is part of Information theory. Activate to inspect this relation.Nyquist–Shannon sampling theorem explains Aliasing. Activate to inspect this relation.Nyquist frequency is derived from Sampling rate. Activate to inspect this relation.Nyquist frequency constrains Signal. Activate to inspect this relation.Aliasing emerges from Signal sampling. Activate to inspect this relation.Anti-aliasing filter suppresses Aliasing. 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.Signal applies to Information theory. Activate to inspect this relation.Nyquist–Shannon sampling theoremInformation theorySampling rateAliasingEntropySignalShannon entropyKolmogorov complexitySignal samplingNyquist frequencyAnti-aliasing filterEfficiencySecond law of thermodynamicsGibbs free energy
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14 concepts17 relationships17 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

Insights from this view

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

  • This view connects 17 disciplines: Audio Engineering, Chemistry, Communication Science, Economics, Electrical Engineering, Engineering, Environmental Engineering, Human-Computer Interaction, Information Theory, Mathematics, Neuroscience, Physical Chemistry, Physics, Signal Processing, Statistical Physics, Sustainability Science, Thermodynamics.
  • Nyquist–Shannon sampling theorem is a bridge concept — viewed here through Information Theory, Mathematics, Signal Processing.
  • The connections here span 6 relation families.
  • Energy transformation explains 3 concepts in this view (Economics, Engineering, Environmental Engineering, Information Theory, Physical Chemistry, Physics, Statistical Physics, Sustainability Science, Thermodynamics).

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

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ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

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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.

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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.