Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
183_notes:scalars_and_vectors [2021/01/28 20:57] – [Determining Vector Components in Two Dimensions] stumptyl | 183_notes:scalars_and_vectors [2024/01/30 13:50] (current) – [Vector Simulation] hallstein | ||
---|---|---|---|
Line 3: | Line 3: | ||
===== Scalars and Vectors ===== | ===== Scalars and Vectors ===== | ||
- | We often use mathematics to describe physical situations. Two types of quantities that are particularly important for describing physical systems are scalars and vectors. In the notes below, you will read about those quantities (in general) and their properties. | + | We often use mathematics to describe physical situations. Two types of quantities that are particularly important for describing physical systems are scalars and vectors. |
==== Lecture Video ==== | ==== Lecture Video ==== | ||
Line 17: | Line 17: | ||
Vectors are often represented with arrows. The end with the triangle is the " | Vectors are often represented with arrows. The end with the triangle is the " | ||
- | ==== Defining Vectors Mathematically ==== | + | ===== Defining Vectors Mathematically |
{{ course_planning: | {{ course_planning: | ||
Line 29: | Line 29: | ||
\\ | \\ | ||
- | === Length of a vector === | + | ==== Length of a vector |
The **magnitude** (or length) of a vector is a scalar quantity. Mathematically, | The **magnitude** (or length) of a vector is a scalar quantity. Mathematically, | ||
Line 38: | Line 38: | ||
\\ | \\ | ||
- | === Unit vector === | + | ==== Unit vector |
Any vector can be multiplied or divided by a scalar quantity. Often it is useful to divide a vector by its own magnitude. The result is the "unit vector." | Any vector can be multiplied or divided by a scalar quantity. Often it is useful to divide a vector by its own magnitude. The result is the "unit vector." | ||
Line 64: | Line 64: | ||
//The above equations only work when the vectors are decomposed with along the x and y axis as defined in the figure to the right.// Oftentimes, an angle that is given or derived cannot make use of the simple decomposition formulae above. The geometric properties of the problem will dictate which trigonometric functions are used. | //The above equations only work when the vectors are decomposed with along the x and y axis as defined in the figure to the right.// Oftentimes, an angle that is given or derived cannot make use of the simple decomposition formulae above. The geometric properties of the problem will dictate which trigonometric functions are used. | ||
+ | |||
+ | {{youtube> | ||
==== Adding & Subtracting Vectors ===== | ==== Adding & Subtracting Vectors ===== | ||
Line 72: | Line 74: | ||
→a−→b=⟨ax,ay,az⟩−⟨bx,by,bz⟩=⟨ax−bx,ay−by,az−bz⟩ | →a−→b=⟨ax,ay,az⟩−⟨bx,by,bz⟩=⟨ax−bx,ay−by,az−bz⟩ | ||
- | {{ course_planning:course_notes: | + | {{ 183_notes:vector_addition_new.png? |
Graphically, | Graphically, | ||
**Vector addition** For addition, place the tail of the second vector at the tip of the first vector. The vector that points from the tail of the first to the tip of the second is the sum or the " | **Vector addition** For addition, place the tail of the second vector at the tip of the first vector. The vector that points from the tail of the first to the tip of the second is the sum or the " | ||
- | {{ course_planning:course_notes: | + | {{ 183_notes:vector_subtraction_new.png? |
**Vector subtraction** For subtraction, | **Vector subtraction** For subtraction, | ||
Line 89: | Line 91: | ||
Here's simulation that let's you play with vectors in 2D.((Credit the [[http:// | Here's simulation that let's you play with vectors in 2D.((Credit the [[http:// | ||
- | {{url>http:// | + | {{url>https:// |