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  • Terminology

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  • Definition of augmented matrix (of a linear system)
  • Definition of coefficient matrix of a linear system
  • Definition of constant vector of a linear system
  • Definition of solution vector of a linear system
  • Definition of matrix representation of a linear system
  • Definition of domain of a linear transformation
  • Definition of codomain of a linear transformation
  • Definition of image (of a point) under a linear transformation
  • Definition of pre-image (of a point) under a linear transformation
  • Definition of onto/surjective linear transformation
  • Definition of one-to-one/injective linear transformation
  • Definition of range of linear transformation
  • Definition of kernel of linear transformation
  • Definition of invertible linear transformation
  • Definition of inverse of a linear transformation
  • Non-example of a linear transformation
  • Definition of linear transformation/homomorphism
  • Definition of identity linear transformation
  • Definition of sum of linear transformations
  • The sum of linear transformations is a linear transformation
  • Definition of scalar multiple of a linear transformation
  • A scalar multiple of a linear transformation is a linear transformation
  • Definition of pre-image of linear transformation
  • Definition of range of a linear transformation
  • Definition of invertible/nonsingular linear transformation
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Description:Added linear transformation/homomorphism definition
# Definition of linear transformation/homomorphism

Put content here**Definition:** A function \(T: V 	o W\) between vector spaces over the same field is a *linear transformation* (also called a *homomorphism*) if it satisfies:
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1. \(T(\mathbf{u} + \mathbf{v}) = T(\mathbf{u}) + T(\mathbf{v})\) for all \(\mathbf{u}, \mathbf{v} \in V\)
2. \(T(c\mathbf{v}) = cT(\mathbf{v})\) for all \(\mathbf{v} \in V\) and \(c \in \mathbb{F}\)
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Equivalently, \(T\) preserves linear combinations:
\[T(c_1\mathbf{v}_1 + \cdots + c_k\mathbf{v}_k) = c_1T(\mathbf{v}_1) + \cdots + c_kT(\mathbf{v}_k)\]
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The term *homomorphism* emphasizes that \(T\) is a structure-preserving map between algebraic structures (vector spaces). It preserves the operations of addition and scalar multiplication.
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**Example:** The derivative operator \(D: P_n 	o P_{n-1}\) defined by \(D(p) = p'\) is a linear transformation because \((af + bg)' = af' + bg'\).

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