Vector Arithmetic

 

Vector Arithmetic

Addition, subtraction and scalar multiplication of vectors is very straight forward. Vector multiplication and vector division, however, do not make sense and therefore do not have a definition.

Vector Addition:


vector arithmetic


To add two vectors together, one simply adds together the corresponding

 components. For example:


\left(\begin{array}{c}3\\5\end{array}\right)+\left(\begin{array}{c}4\\-3\end{array}\right)=\left(\begin{array}{c}7\\2\end{array}\right)


The vector that results from applying one vector followed by another by adding, i.e. {\bf a}+{\bf b} is the vector that points directly from the start point to the finish point. Applying the vectors the other way round, i.e. {\bf b}+{\bf a}, also results in the same resultant vector. This is known as the parallelogram law of vector addition. See figure.

This may also be written as \overrightarrow{AB}+\overrightarrow{BC}=\overrightarrow{AC} if considering vectors between points AB and C.

Vector Subtraction


vector arithmetic


As you might expect, vector subtraction is achieved by subtracting the corresponding components of the given vectors. For example:


\left(\begin{array}{c}3\\-5\end{array}\right)-\left(\begin{array}{c}-4\\2\end{array}\right)=\left(\begin{array}{c}7\\-7\end{array}\right).



 Rather than starting from a point and moving along two vectors one after the other, consider two vectors starting from the same point, say {\bf a} and {\bf b}. The vector that results from subtracting {\bf a} from {\bf b} is the one that points directly from the end of {\bf a} to the end of {\bf b}. See figure. This is known as the triangle law of vector addition. It can be thought of as starting at the end of {\bf a}, moving backwards along {\bf a} and then forwards along {\bf b} (-{\bf a}+{\bf b}) but written as ({\bf b}-{\bf a}). See Position Vectors for more on this.

Scalar Multiplication of Vectors

vector arithmeticThere is no definition for multiplying vectors together but we can multiply or divide vectors by a scalar (ie a single number).


 For example,

2\left(\begin{array}{c}-1\\6\end{array}\right)=\left(\begin{array}{c}-2\\12\end{array}\right)  or -\frac{1}{3}\left(\begin{array}{c}3\\-2\end{array}\right)=\left(\begin{array}{c}-1\\\frac{2}{3}\end{array}\right)



As we can see from the diagram, scalar multiples of vectors are all parallel.

Since scalar multiplication and vector addition is possible, it follows that any vector can be expressed as a linear combination of the standard unit vectors.


For example,

\left(\begin{array}{c}7\\-5\end{array}\right)=\left(\begin{array}{c}7\\0\end{array}\right)-\left(\begin{array}{c}0\\5\end{array}\right)=7\left(\begin{array}{c}1\\0\end{array}\right)-5\left(\begin{array}{c}0\\1\end{array}\right)=7{\bf i}-5{\bf j}


This is useful when writing vectors on a single line rather than stacked horizontally.


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