Vector I
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vectors
This semester, Vectors was my favorite subject. Maybe because it’s easier for me to visualize it.
In this note, I’ll be documenting the different topics and how I reason about them. A vector is a quantity that has magnitude and a direction. Contrast with scalars which have only magnitude.
Vector representation
Vector being defined as magnitute + direction means we can represent them as something like or . But that’s one way of representing vectors. Let’s look at some ways of representing vectors:
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Polar coordinates as mentioned earlier is in the format , where is the magnitude or radius and is the direction/angle. The figure below demonstrates a polar coordinate.
This is the plot for
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Tuple notation is in the format where is a component of the vector . This notation allows for expressing vectors in dimension unlike the polar coordinate which can be used to represent a vector in just 2 dimensions.
Familiarly, we know vectors in 2 and 3 dimensions. But generalization is the essence of Mathematics. So some examples are ,
Note that vectors are NOT positional coordinates. Understanding this will prevent you from making some mistakes in future
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Matrix notation is the vertical form of the tuple notation:
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Unit vector notation: Given a two dimensional (2D) plane, we can have two basis vectors and and the scalars and such that and scales and respectively giving us:
On the 2D plane, we can have and . Taking as and as , we end up with the vector:
The applet below demonstrates this:
Throughout this article, I’ll be using the unit vector notation.
Vector addition
Vectors can be added. In practical terms, if we went north and then branched west, we can be able to tell how far we’ve moved from where we started (ie, the origin).