Linear Algebra Definitions

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Last updated 7:43 PM on 2/11/25
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25 Terms

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Elementary row operations

Basic operations that can be performed on the rows of a matrix to simplify it.

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Row Echelon Form

A form of a matrix where all non-zero rows are above any rows of all zeros and leading coefficients are to the right of the leading coefficients of the previous row.

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Reduced Row Echelon Form

A form of a matrix where it is in row echelon form and all leading coefficients are 1 and are the only non-zero entries in their columns.

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Coefficient matrix

The matrix that consists of the coefficients of the variables in a system of linear equations.

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Augmented matrix

A matrix that contains the coefficients of a linear system and the constants from the equations.

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Consistent system

A system of equations that has at least one solution.

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Inconsistent system

A system of equations that has no solutions.

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Basic variable

Variables that correspond to the leading 1's in the row echelon form of a matrix.

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Free variable

Variables that are not leading variables in a system of equations, which can take on any value.

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Homogeneous system

A system of equations that has all zero constant terms.

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Non-homogeneous system

A system of equations that has at least one non-zero constant term.

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Parametric Vector Form

A representation of a vector in terms of parameters that allow for different solutions.

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Linear combination

An expression formed by summing scalar multiples of vectors.

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Trivial solution

The solution to a homogeneous system where all variables are equal to zero.

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Non-trivial solution

A solution to a homogeneous system where at least one variable is not equal to zero.

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Linearly independent vectors

Vectors that cannot be expressed as linear combinations of each other.

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Linearly dependent vectors

Vectors that can be expressed as linear combinations of each other.

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Span of a set of vectors

The set of all possible linear combinations of a given set of vectors.

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Transformation

A function that maps elements from one set into another.

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Domain

The set of all possible input values for a function.

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Co-domain

The set that contains all potential output values of a function.

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Range

The set of actual output values of a function.

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Linear transformation

A transformation that preserves vector addition and scalar multiplication.

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Onto

A function where every element in the co-domain is the image of at least one element from the domain.

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One-to-One

A function where each element in the domain maps to a unique element in the co-domain.