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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 definition of augmented matrix
# Definition of augmented matrix (of a linear system)

Put content here**Definition: Augmented Matrix**
⏎
The augmented matrix of a linear system is formed by appending the constant vector (right-hand side) as the last column of the coefficient matrix, separated by a vertical bar for clarity.
⏎
For the system `Ax = b` where `A` is `m × n`, the augmented matrix is `m × (n+1)`:
```
[a₁₁ a₁₂ ... a₁ₙ | b₁]
[a₂₁ a₂₂ ... a₂ₙ | b₂]
[...  ...  ... ... | ...]
[aₘ₁ aₘ₂ ... aₘₙ | bₘ]
```
⏎
**Example:** For the system:
```
2x + y - z = 8
-3x - y + 2z = -11
-2x + y + 2z = -3
```
⏎
The augmented matrix is:
```
[ 2  1 -1 |  8]
[-3 -1  2 |-11]
[-2  1  2 | -3]
```
⏎
The augmented matrix contains all the information needed to solve the system using row reduction.

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