The Observation Theory EncyclopediaFrom TSKAboutBy kindBy chapterBy Lean fileLedgerProvenance

matrix concept

DefinitionA table of numbers with n rows and d columns that sends a vector to the linear combination of its columns with the vector's coordinates as the scalars. A data table with numeric columns is one. Primer L, equation L.5.
ExampleRows (2, 1) and (1, 3) send (1, 2) to 1 (2, 1) + 2 (1, 3) = (4, 7).
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id matrix, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equation

Book equation L.5.

Assumptions and scopenone
Prior artnone recorded
Evidencenone
Reviewedsemantic review 2026-09-09; generated 2026-09-10 from records at the commits on the provenance page.

Equation

Book equation L.5.

\[(Ax)_i=\sum_{j}A_{ij}x_j,\qquad Ax=x_1\,a_1+\cdots+x_d\,a_d\ \ \text{with } a_j \text{ the } j\text{th column}.\]

Conditions

none

Ledger

none

First stated

Primer L section L.3 of Data Mining as Observation, added in draft 0.3 (2026-09-09) for the ECE 514 readers whose first courses are far behind. The idea is standard and TSK Appendix A covers it at length.

Measurements

none

Failures and corrections

none

Invariance envelope

none declared

Machine checked

none

Used in

Data Mining as Observation primers L and S, chapters 0, 1, 4, 6, 7, 8, 9, 10, 12, 13.

Related

vector; transpose; inverse; rank; linear combination.

See also

none

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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