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2. Lecture: Vectors
Geometrically, a vector is an arrow with a length and direction:

Vectors with the same length and direction are called equivalent:

Vectors in the same (or opposite) direction are called parallel:

We can add and subtract vectors (click on the image to see the video):
We can multiply vectors by a real number (called a scalar), and this just scales the vector:

All of this is true for vectors in 3D as well:

Alegbraically, a vector is a list of numbers:
We typically use an arrow over a letter or a bold letter to denote a vector.
Addition and subtraction with components is easy:
Scalar multiplication is also easy:
The length of a vector, also called its magnitude is given by
A vector with length 1 is called a unit vector, and we use a hat notation for this
The following three unit vectors are called the basis unit vectors:
$\large \hat{i}=\left<1,0,0\right>$ $\large \hat{j}=\left<0,1,0\right>$ $\large \hat{k}=\left<0,0,1\right>$
The basis vectors provide us with an alternative notation for vectors (a notation preferred by physicists!):
- Practice working with vectors
I can:
- Add/subtract vectors and multiply by a scalar, both graphically and algebraically
- Find the magnitude of a vector
- Define the terms: component, magnitude, unit vector, parallel, equivalent vector
For more on vectors, see https://openstax.org/books/calculus-volume-3/pages/2-1-vectors-in-the-plane
Calculus of Vector Valued Functions
Kepler's Laws of Orbital Motion
Gradient and Directional Derivative
Least Squares Best Fitting Line
Double Integrals on Rectangular Regions
Double Integrals on General Domains
Double Integrals in Polar Coordinates
Triple Integrals in Cylindrical/Spherical Coordinates
Line Integrals in Vector Fields
Fundamental Theorem of Line Integrals