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ObsidianVault/College/AU 26/MATH 208 (Matrix Algebra)/Chapter 2.1 Notes.md
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Vectors can be represented vertically in a matrix (column vector): $$\mathbf{u} = \begin{bmatrix} u_{1} \ u_{2} \ \vdots \ u_{n} \end{bmatrix}$$

[!NOTE] Basic Properties if \mathbf{u} and \mathbf{v} are vectors defined as $$\mathbf{u} =\begin{bmatrix} u_{1} \ u_{2} \ \vdots \ u_{n} \end{bmatrix} \quad \text{and} \quad \mathbf{v} =\begin{bmatrix} v_{1} \ v_{2} \ \vdots \ v_{n} \end{bmatrix}$$

Equality:

\mathbf{u}=\mathbf{v} if and only if u_{1}=v_{1}, u_{2}=v_{2},\dots,u_{n}=v_{n}

Addition: $$\mathbf{u}+\mathbf{v} = \begin{bmatrix} u_{1} \ u_{2} \ \vdots \ u_{n} \end{bmatrix} + \begin{bmatrix} v_{1} \ v_{2} \ \vdots \ v_{n} \end{bmatrix} = \begin{bmatrix} u_{1}+v_{1} \ u_{2}+v_{2} \ \vdots \ u_{n}+v_{n} \end{bmatrix}$$

Scalar Multiplication: $$c \mathbf{u} = c \begin{bmatrix} u_{1} \ u_{2} \ \vdots \ u_{n} \end{bmatrix} = \begin{bmatrix} c \cdot u_{1} \ c \cdot u_{2} \ \vdots \ c \cdot u_{n} \end{bmatrix}$$

A linear combination of vectors is when vectors multiplied by scalar coefficients are added or subtracted

c_{1}\mathbf{u_{1}}+c_{2}\mathbf{u_{2}}+\dots+c_{m}\mathbf{u_{m}}

is a linear combination if all c values are scalars and \mathbf{u} are vectors

The general form of a solution to a linear system of equations can be represented as a linear combination of vectors

if the solution of a linear system of equations is