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isotropic concept

DefinitionOf a covariance, having the same variance in every direction. Chapter 0. Also anisotropic.
ExampleCovariance diag(1, 1) is isotropic, and a reader at any angle sees variance 1.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id isotropic, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equationnone
Assumptions and scope
  • An isotropic covariance has the same variance in every direction, so every unit reader reads it the same and no flip is possible. An anisotropic one has different variances in different directions, and two unit readers can read it differently.
  • The flip needs anisotropy. Two codes with the variances exchanged are read the same by every reader exactly when the two variances agree, which is the boundary the coupling null names from the other side.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/Isotropy.lean
Reviewednot yet reviewed; generated 2026-09-10 from records at the commits on the provenance page.
reader
Every direction has the same variance.

Equation

none

Conditions

Conditions are curated in entries.toml rather than read from a record.

Ledger

none

First stated

Chapter 0 section 0.3 and chapter 3 section 3.2 of Data Mining as Observation, with the isotropic-Gaussian control of chapter 10.

Measurements

none

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/Isotropy.lean, theorems isotropic_reads_same, isotropic_no_flip, anisotropic_readers_differ, flip_iff_anisotropic, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation chapters 0, 2, 3, 4, 7, 9, 10, 11, 12.

Related

the flip; coupling null; covariance matrix; alignment.

See also

Book equations stated beside the entry’s terms, not defining it: 3.1, 4.6.

Ledger rows that cite the entry’s records without naming it: GO-2 (neg. half: not reconstruction).

Status

Generated 2026-09-10 by encyclopedia/generate.py; book at observation-data-mining f3914f0; the commit of every record is listed in the encyclopedia’s provenance.

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