vault backup: 2026-10-06 11:55:37
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@@ -7,28 +7,38 @@ u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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> [!NOTE] Basic Properties
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> [!NOTE] Basic Properties
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> if
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> if $\mathbf{u}$ and $\mathbf{v}$ are vectors defined as
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> $$\mathbf{u} =\begin{bmatrix}
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> u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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> \end{bmatrix} \quad \text{and} \quad \mathbf{v} =\begin{bmatrix}
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> v_{1} \\ v_{2} \\ \vdots \\ v_{n}
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> \end{bmatrix}$$
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>
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> **Equality:**
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>
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> $\mathbf{u}=\mathbf{v}$ if and only if $u_{1}=v_{1}, u_{2}=v_{2},\dots,u_{n}=v_{n}$
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>
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> **Addition:**
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> $$\mathbf{u}+\mathbf{v} = \begin{bmatrix}
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> u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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> \end{bmatrix} + \begin{bmatrix}
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> v_{1} \\ v_{2} \\ \vdots \\ v_{n}
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> \end{bmatrix} = \begin{bmatrix}
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> u_{1}+v_{1} \\ u_{2}+v_{2} \\ \vdots \\ u_{n}+v_{n}
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> \end{bmatrix}$$
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>
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> **Scalar Multiplication:**
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> $$c \mathbf{u} = c \begin{bmatrix}
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> u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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> \end{bmatrix} = \begin{bmatrix}
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> c \cdot u_{1} \\ c \cdot u_{2} \\ \vdots \\ c \cdot u_{n}
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> \end{bmatrix}$$
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if $\mathbf{u}$ and $\mathbf{v}$ are vectors defined as
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A linear combination of vectors is when vectors multiplied by scalar coefficients are added or subtracted
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$$\mathbf{u} =\begin{bmatrix}
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$$c_{1}\mathbf{u_{1}}+c_{2}\mathbf{u_{2}}+\dots+c_{m}\mathbf{u_{m}}$$
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u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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is a linear combination if all $c$ values are scalars and $\mathbf{u}$ are vectors
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\end{bmatrix} \quad \text{and} \quad \mathbf{v} =\begin{bmatrix}
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v_{1} \\ v_{2} \\ \vdots \\ v_{n}
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\end{bmatrix}$$
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**Equality:**
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The general form of a solution to a linear system of equations can be represented as a linear combination of vectors
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$\mathbf{u}=\mathbf{v}$ if and only if $u_{1}=v_{1}, u_{2}=v_{2},\dots,u_{n}=v_{n}$
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**Addition:**
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if the solution of a linear system of equations is
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$$\mathbf{u}+\mathbf{v} = \begin{bmatrix}
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$$$$
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u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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\end{bmatrix} + \begin{bmatrix}
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v_{1} \\ v_{2} \\ \vdots \\ v_{n}
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\end{bmatrix} = \begin{bmatrix}
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u_{1}+v_{1} \\ u_{2}+v_{2} \\ \vdots \\ u_{n}+v_{n}
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\end{bmatrix}$$
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**Scalar Multiplication:**
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$$c \mathbf{u} = c \begin{bmatrix}
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u_{1} \\ u_{2} \\ \vdots \\ u_{n}
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\end{bmatrix} = \begin{bmatrix}
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c \cdot u_{1} \\ c \cdot u_{2} \\ \vdots \\ c \cdot u_{n}
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\end{bmatrix}$$
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