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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 solution vector
# Definition of solution vector of a linear system

Put content here**Definition: Solution Vector**
⏎
The solution vector of a linear system is the `n × 1` column vector containing the values of the variables that satisfy all equations simultaneously.
⏎
For the system `Ax = b`, the solution vector `x` is:
```
x = [x₁]
    [x₂]
    [...]
    [xₙ]
```
⏎
A vector `x` is a solution if and only if `Ax = b` (matrix multiplication yields the constant vector).
⏎
**Example:** For the system:
```
2x + y - z = 8
-3x - y + 2z = -11
-2x + y + 2z = -3
```
⏎
The solution vector is `x = [2, 3, -1]ᵀ`, since:
- `2(2) + 1(3) - 1(-1) = 8` ✓
- `-3(2) - 1(3) + 2(-1) = -11` ✓
- `-2(2) + 1(3) + 2(-1) = -3` ✓
⏎
If the system is consistent with free variables, the solution set is expressed parametrically as a particular solution plus a linear combination of vectors scaled by free parameters.

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