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Linear Algebra Terms
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Determinant
A scalar value that is a function of the entries of a square matrix and encodes certain properties of the linear transformation.
Row Space
The set of all linear combinations of the row vectors of a matrix.
Inverse Matrix
A matrix that, when multiplied by the original matrix, yields the identity matrix.
Linearly Independent
A set of vectors in which no vector can be written as a linear combination of the others.
Subspace
A subset of a vector space that is itself a vector space under the same operations.
Rank
The dimension of the vector space spanned by the columns (or rows) of the matrix.
Eigenvector
A non-zero vector that changes at most by a scalar factor when that linear transformation is applied.
Vector Space
A collection of vectors which can be added together and multiplied by scalars while satisfying certain axioms.
Span
The set of all possible linear combinations of a given set of vectors.
Matrix
A rectangular array of numbers, symbols, or expressions arranged in rows and columns that represents a linear transformation.
Null Space
The set of all vectors that, when multiplied by the matrix, result in the zero vector.
Column Space
The set of all linear combinations of the column vectors of a matrix.
Basis
A set of vectors in a given vector space V that is linearly independent and spans V.
Eigenvalue
A scalar associated with a linear system of equations that, when multiplied by an Eigenvector of the system, yields that Eigenvector scaled by the scalar.
Linear Transformation
A mapping between two vector spaces that preserves the operations of vector addition and scalar multiplication.
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