Vectors
Introduction to Vectors
Applications of Vectors
Vector vs Scalar
Vectors
Scalar
Properties of Vectors
Multiplication of a vector by a Scalar (k)
Geometric Vectors: Vectors that are considered without reference to coordinate axes
Algebraic Vectors: Vectors that are placed on a coordinate plane in order to use vectors in application
Vectors as Forces:
Equations of Lines & Planes
In R^2 Equation of Lines
Unit Vectors
Colinear Vectors
Any quantities described by the magnitude and direction
Examples: Velocity, Friction, Gravity, Acceleration
Any quantities described by only the magnitude
Examples: Age, Height, Area, Temperature
Drawing & Notation
Notation
Opposite Vectors:
Equal Vectors:
Example:
Important Distinctions:
Lie along the positive x,y and z-axes and they are used to write positive vectors in 2 ways
Vector Subtraction
Vector Addition
Parralellogram Law
Linear Combination
Spanning Sets
Adding and Subtracting vectors uses the same process in both R^2 and R^3, of course in R^2 you ignore the z-component
CH 6: Worked Example #3
Vectors in R^3
Vectors in R^2
xy-Plane
Position Vector
Magnitude + Component
xyz-Plane
Position Vector
Magnitude + Component
Example
CH 6: Example #1
CH 6: Worked Example #2
Resolution of a Vector
Equilibrant Forces:
A number of vector forces that oppose when acting on an object. This force maintains the object in a state of equilibrium
CH 7: Worked Example #2 :
Velocity
Air Velocity: As an object travels, the velocity of air flow will create resultant velocity and/or change the direction of
the object.
Ground Velocity: As an object travels, the velocity of water flow will create resultant velocity and/or change the
direction of the object.
Scalar & Vector Projection
Direction Cosines and Direction Angles
Scalar:
Vector
Dot Product
Definition: Scalar number that represents the amount one vector travels in the direction of the other vector. Can be
determine with either geometric or algebraic vectors. Both will provide the same information.
Dot Product of Geometric Vectors
Dot Product of Algebraic Vectors
Definition
Signs of Dot Product
Angles
Sign of Dot Product
Cross Product
Definition: Given 2 vectors, it is possible to find a third vector, in R^3, that is perpendicular/orthagonal to both, by easily finding the cross product of the 2 vectors
Right-Handed System
Properties
Torque
Area of Parallelogram & Triangle
CH 7: Worked Exampe #1
Perpendicular >The Dot Product gives a scalar
Parallel
When 2 vectors are Crossed, it gives another vector
CH8: Worked Example #2
Recall: In order to find an equation of a line y=mx + b, it requires 2 pieces of information on:
1) Slope/Direction
2) a Point on the line
Parametric
Vector
Cartesian
Angles
In R^3
Vector
Plane
Line
Parametric
Line
Plane
Symmetric
Line
Plane
- A line and a point not on the line
- 3 Non-collinear Points
- 2 Intersecting Lines
- 2 Parallel and non-coincident lines
Cartesian Equation of Plane
CH 8: Worked Example #1
CH 8: Worked Example #3
Zero Vector: A vector with zero magnitude and zero direction
Angles:
Example:
Definition: -Force is determined by multiplying mass(kg) and acceleration (m/s^2).
-The resulting unit is in Newtons (N) Since force is calculated by multiplying a scalar (mass) and vector(acceleration), force itself is a vector
Vectors have a Horizontal(i) and Verticle (j) component
ONLY defined for vectors in R^3 as it is not possible to find a vector perpendicular to 2 non-collinear vector in R^2
Properties
In R^3 & R^2
Work