linear algebra

Vectors and matrices

Linear algebra is the branch of mathematics dealing with vectors, matrices, and linear transformations—systems where outputs change proportionally with inputs.

It provides tools for solving systems of linear equations and understanding multidimensional space.

The subject is foundational to physics, computer graphics, machine learning, and statistics: The course covers linear algebra before differential equations.

matrices

determinant

Matrix-derived scalar quantity

trace · identity · Gaussian elimination · pivot · cofactor · LU decomposition · unitary matrix · minor

vectors

magnitude

Size or scale

basis · normalization · projection · component · parallel · perpendicular · norm · eigenvector · coordinate · angle

decomposition

eigenvalues

Transformation scaling constants

QR decomposition · eigendecomposition · factorization

spaces

subspace

Subset forming smaller space

transformations

rotation

Turning on an axis

affine · projective · isometry · dilation · contraction · perspective · mapping · invertible · image · range

systems

solution

Answer or liquid mixture

homogeneous · nonhomogeneous · substitution · elimination · consistent · inconsistent · underdetermined · overdetermined

products

wedge product

Antisymmetric tensor multiplication

Categories
Opposites
mathematical domain

linear algebracalculus

Mathematical analysis system

chaos theory · analysis · differential equations · topology · differential calculus

linearity vs. nonlinearity

linear algebrachaos theory

Study of sensitive dependence

polynomial equations · exponential functions

abstraction level

linear algebraarithmetic

Mathematics of basic operations

applied mathematics

Family

algebra, linear, nonlinear, linearity, rectilinear, collinear, linearly

Familiarity
Top 500,000
Profile
Used worldwide · Timeless · Abstract · Rated G