Terminology for Linear Systems
Key terms used when working with linear systems in matrix form:
- Linear system: A collection of one or more linear equations involving the same variables
- Consistent system: A system that has at least one solution
- Inconsistent system: A system that has no solution
- Homogeneous system: A system where all constant terms are zero (
Ax = 0) - Non-homogeneous system: A system where at least one constant term is nonzero
- Free variable: A variable that can take any value (corresponds to non-pivot columns)
- Basic (leading) variable: A variable corresponding to a pivot column in echelon form
- Augmented matrix: The coefficient matrix with the constant vector appended as an extra column
- Coefficient matrix: The matrix containing only the coefficients of the variables
- Row echelon form: A matrix form where each leading entry is to the right of the one above
- Reduced row echelon form: Row echelon form where each pivot is 1 and is the only nonzero entry in its column
Children
- Definition of augmented matrix (of a linear system)Definition: Augmented Matrix The augmented matrix of a linear system is formed by appending the constant vector...
- Definition of coefficient matrix of a linear systemDefinition: Coefficient Matrix The coefficient matrix of a linear system is the m × n matrix containing only the...
- Definition of constant vector of a linear systemDefinition: Constant Vector The constant vector of a linear system is the m × 1 column vector containing the...
- Definition of solution vector of a linear systemDefinition: Solution Vector The solution vector of a linear system is the n × 1 column vector containing the values...
- Definition of matrix representation of a linear systemDefinition: Matrix Representation of a Linear System The matrix representation of a linear system expresses the...
- Definition of domain of a linear transformationDefinition: The domain of a linear transformation \(T\) is the vector space \(V\) from which the transformation takes...
- Definition of codomain of a linear transformationDefinition: The codomain of a linear transformation \(T\) is the vector space \(W\) into which the transformation...
- Definition of image (of a point) under a linear transformationDefinition: The image of a vector \(\mathbf{v}\) under a linear transformation \(T: V \to W\) is the output vector...
- Definition of pre-image (of a point) under a linear transformationDefinition: The pre-image (or inverse image ) of a vector \(\mathbf{w} \in W\) under a linear transformation \(T: V...
- Definition of onto/surjective linear transformationDefinition: A linear transformation \(T: V \to W\) is onto (or surjective ) if every vector in the codomain \(W\) is...
- Definition of one-to-one/injective linear transformationDefinition: A linear transformation \(T: V \to W\) is one-to-one (or injective ) if distinct vectors in the domain...
- Definition of range of linear transformationDefinition: The range (or image ) of a linear transformation \(T: V \to W\) is the set of all possible output...
- Definition of kernel of linear transformationDefinition: The kernel (or null space ) of a linear transformation \(T: V \to W\) is the set of all vectors in the...
- Definition of invertible linear transformationDefinition: A linear transformation \(T: V \to W\) is invertible if there exists a linear transformation \(S: W \to...
- Definition of inverse of a linear transformationDefinition: If \(T: V \to W\) is an invertible linear transformation, its inverse is the unique linear transformation...
- Non-example of a linear transformationNon-example: A function that fails to be a linear transformation. Example 1 (fails additivity): The map \(T:...
- Definition of linear transformation/homomorphismDefinition: A function \(T: V \to W\) between vector spaces over the same field is a linear transformation (also...
- Definition of identity linear transformationDefinition: The identity linear transformation on a vector space \(V\), denoted \(I V\) (or simply \(I\)), is the...
- Definition of sum of linear transformationsDefinition: If \(S, T: V \to W\) are linear transformations, their sum \(S + T\) is defined pointwise: \[(S +...
- The sum of linear transformations is a linear transformationTheorem: If \(S, T: V \to W\) are linear transformations, then \(S + T\) is also a linear transformation. Proof: 1....
- Definition of scalar multiple of a linear transformationDefinition: If \(T: V \to W\) is a linear transformation and \(c\) is a scalar, the scalar multiple \(cT\) is defined...
- A scalar multiple of a linear transformation is a linear transformationTheorem: If \(T: V \to W\) is a linear transformation and \(c\) is a scalar, then \(cT\) is also a linear...
- Definition of pre-image of linear transformationDefinition: The pre-image of a subset \(B \subseteq W\) under a linear transformation \(T: V \to W\) is: \[T^{-1}(B)...
- Definition of range of a linear transformationDefinition: The range of a linear transformation \(T: V \to W\) is the set of all output vectors: \[\text{range}(T) =...
- Definition of invertible/nonsingular linear transformationDefinition: A linear transformation \(T: V \to W\) is invertible (or nonsingular ) if there exists a linear...
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