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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 is linear theorem
# The sum of linear transformations is a linear transformation

Put content here**Theorem:** If \(S, T: V 	o W\) are linear transformations, then \(S + T\) is also a linear transformation.
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**Proof:**
1. *Additivity:* \((S+T)(\mathbf{u} + \mathbf{v}) = S(\mathbf{u} + \mathbf{v}) + T(\mathbf{u} + \mathbf{v}) = S(\mathbf{u}) + S(\mathbf{v}) + T(\mathbf{u}) + T(\mathbf{v}) = (S(\mathbf{u}) + T(\mathbf{u})) + (S(\mathbf{v}) + T(\mathbf{v})) = (S+T)(\mathbf{u}) + (S+T)(\mathbf{v})\)
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2. *Homogeneity:* \((S+T)(c\mathbf{v}) = S(c\mathbf{v}) + T(c\mathbf{v}) = cS(\mathbf{v}) + cT(\mathbf{v}) = c(S(\mathbf{v}) + T(\mathbf{v})) = c(S+T)(\mathbf{v})\)
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Both linearity conditions are satisfied, so \(S + T\) is linear.
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**Intuition:** The pointwise sum of two structure-preserving maps is itself structure-preserving because addition in the codomain is compatible with the linearity of each map.

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