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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

Scalar Multiplication

Another very basic operation on vectors is scalar multiplication. For a basic introduction, you can read through my short lesson about scalars.

Vectors can be multiplied by a scalar, such as 222 or βˆ’1-1βˆ’1 or any number ccc. Scalar multiplication by a scalar ccc is defined as

cvβƒ—=[cv1cv2].c\vec{v} = \begin{bmatrix} cv_1 \\ cv_2 \end{bmatrix}.cv=[cv1​cv2​​].

Let us illustrate this through an example:

vβƒ—=[34].\vec{v} = \begin{bmatrix} 3 \\ 4 \end{bmatrix}.v=[34​].

We now multiply this vector by 222:

2vβƒ—=[2β‹…32β‹…4]=[68].2\vec{v} = \begin{bmatrix} 2 \cdot 3 \\ 2 \cdot 4 \end{bmatrix} = \begin{bmatrix} 6 \\ 8 \end{bmatrix}.2v=[2β‹…32β‹…4​]=[68​].

Graphical Representation

I have touched upon the idea of β€œscaling” a vector in my introductory lesson about scalars. This is because, when depicted graphically, the vector cvβƒ—c\vec{v}cv, is simply a scaled version of vβƒ—\vec{v}v:

Multiplying a vector by a negative number (say βˆ’1-1βˆ’1), simply reverses its direction:

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