Beginning Self-Study, Vectors (March 3, 2026)

I have self-studied physics, calculus, and a little bit of linear algebra, but the closest thing to “records” I have is my notebook with notes and problems I solved, which is all over the place. I thought it would be nice if I have a place where I can record my progress, which is why I’m writing this page right now.

My first topic to self-study is multivariable calculus. I figured it’s something I would have to learn anyway, and it could be useful for my research in the future.

To begin, I reviewed the basics that I had to know. Although I already knew a little about vectors and their operations from physics and linear algebra, I wanted to make sure I have a steady foundation. This category will be all about summarizing what I learned after each session.

A vector, in its most basic explanation, is something with a magnitude and direction. An easy way to understand this is through the position vector (introduced in physics as well).

For example, in 2 dimensions,

P(v1,v2)P(v_1,v_2)

Would show the position of point P.

In 3 dimensions, it would be

P(v1,v2,v3)P(v_1,v_2,v_3)

In these cases, the magnitudes of the vectors can be found easily using the Pythagorean Theorem. For any dimension n where there are points

P(x1,x2,,xn) and A(y1,y2,,yn)P(x_1,x_2,\cdots,x_n) ~\text{and}~A(y_1,y_2,\cdots,y_n)

the vector between them would be

|PA|=(y1x1)2+(y2x2)2++(ynxn)2|PA|=\sqrt{(y_1-x_1)^2+(y_2-x_2)^2+\cdots+(y_n-x_n)^2}

However, vectors can be more abstract. A vector is an element of a vector space, where a vector space is a set of objects where you can add, multiply by scalars, etc.

I will continue in the next part.

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