Linear combinations and span
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A linear combination is a scalar-weighted sum of finitely many vectors; the span collects every finite linear combination.
mko-linear-combination-span · definition · v0.10.0
Mathematical statement
For a vector family in a real vector space, a finite linear combination is a finite sum weighted by real coefficients. Its span is the set of all finite-length linear combinations and does not include undefined infinite series.
Representative formula (exact TeX)
S(V)
Assumptions
- Exercises use integer coordinate vectors in a fixed dimension and integer or exact rational coefficients.
- Each question audits only its explicitly supplied finite generator family and candidate witness; a fixed arity does not exhaust the abstract definition of span.
Symbol scope
S— span operatorV— finite generator family
Intuition, definition, and misconceptions
A weighted sum requires matching vector dimensions and the correct number of coefficients.
Supplied coefficients can reconstruct a target directly, providing a membership witness.
Two independent generators in R² permit unique coordinates to be found using their nonzero determinant.
Do not call an infinite sum a finite linear combination or infer membership in a span from dimension alone.
Adopted derivation guide
Linear combinations and span: deciding membership using finite coefficient lists as witnessesThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Real vector space — Linear combinations use vector addition and real scalar multiplication.
- Linear systems in two variables and degenerate constraints — Coordinate membership can be expressed as a linear system.
Verification boundary
Only finite coordinate witnesses are audited; a general span still quantifies over all finite combinations.
not_formalized
This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.
Next obligation
Add linear independence, bases and dimension.
Same-source structured data
This page and the interactive view use the same object and existing language edition; this adds no proof or human review.
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