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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 sum of linear transformations definition
# Definition of sum of linear transformations

Put content here**Definition:** If \(S, T: V 	o W\) are linear transformations, their *sum* \(S + T\) is defined pointwise:
\[(S + T)(\mathbf{v}) = S(\mathbf{v}) + T(\mathbf{v}) \quad 	ext{for all } \mathbf{v} \in V\]
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The sum is computed by applying both transformations to the same input and adding the results in the codomain \(W\).
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**Example:** If \(T(x,y) = (x, 0)\) and \(S(x,y) = (0, y)\), then \((T+S)(x,y) = (x, y)\), which is the identity transformation on \(\mathbb{R}^2\).

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* Terminology
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