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Linear Algebra

  • Vectors
    • Scalars
    • Vectors vs Sets
    • Addition and Subtraction
    • Scalar Multiplication
    • Zero Vectors
    • Linear Combinations
    • Real Dot Product
    • Length of a Vector
    • Orthogonal Vectors
    • Parallel Vectors

Zero Vectors

There is a special kind of vector which I would like to mention - the so-called zero vector.

The zero vector is a vector whose components all equal 000. It is often denoted as 0⃗\vec{0}0 (the number zero with the little arrow on top).

A two-dimensional zero vector looks like this:

0⃗=[00].\vec{0} = \begin{bmatrix} 0 \\ 0 \end{bmatrix}.0=[00​].

The zero vector can be obtained by multiplying any vector by 000 (scalar multiplication), or by subtracting a vector from itself:

0v⃗=[0⋅v10⋅v2]=[00]=0⃗,0\vec{v} = \begin{bmatrix} 0 \cdot v_1 \\ 0 \cdot v_2 \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} = \vec{0},0v=[0⋅v1​0⋅v2​​]=[00​]=0,

or

v⃗−v⃗=[v1−v1v2−v2]=[00]=0⃗.\vec{v} - \vec{v} = \begin{bmatrix} v_1 - v_1 \\ v_2 - v_2 \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} = \vec{0}.v−v=[v1​−v1​v2​−v2​​]=[00​]=0.
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