linear independence

No redundant vectors

Linear independence is a mathematical property of a set of vectors: no vector in the set can be expressed as a combination of the others.

If you can write one vector as a sum of multiples of the rest, the set is linearly dependent.

The concept is foundational in linear algebra, determining whether vectors span a space efficiently or contain redundancy.

The three vectors are linearly independent, so they form a basis for three-dimensional space.

abstract

subspace

Subset forming smaller space

kernel · image · field · scalars · axioms · closure

equations

homogeneous

Alike in composition throughout

underdetermined · solvability · parametric · simultaneous equations · constraint

matrix

rank

Position in hierarchy

invertible · nullity

basis

span

Distance between endpoints

dimension · coefficient

vectors

orthogonality

State of being independent

parallel · perpendicular · component · magnitude · direction · cross product · projection

Categories
Opposites
vector relationship

linear independencedependence

State of needing another

collinearity · redundancy · dependency · derivability · span

mathematical structure quality

linear independencedegeneracy

Moral or physical decline

collinear · singularity · coplanar · redundant · derivable

Family

independence, linear, nonlinear, linearity, collinear, linearly, linearize, nonlinearity, interlinear

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