Vectors are mathematical entities that possess both magnitude and direction, crucial for representing quantities in various fields of science and engineering. In this section, we delve into the composition of vectors and explore the concept of collinearity through scalar multiplication.
Composition of Vectors
The composition of vectors involves adding two or more vectors together to form a single vector. This resultant vector encapsulates the combined effect of the original vectors.
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Adding Vectors
To add vectors, align their components and combine them. For two vectors and , the resultant vector is computed as:
Example 1:
Given vectors and , calculate .
This shows as the sum of and .
Graphical Representation
Graphically, to perform vector addition, place the tail of vector at the head of . The vector spans from the tail of to the head of .
Collinearity and Scalar Multiplication
Collinearity indicates that three or more points lie on a single straight line. Vectors express this through scalar multiplication, with vector being collinear with if , where is a scalar.
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Scalar Multiplication
Multiplying a vector by a scalar adjusts its magnitude, not its direction, unless the scalar is negative, which reverses the direction.
Example 2:
Given, find such that is thrice .
Here, is three times the length of , directed similarly.
Assessing Collinearity
Collinearity can be deduced if vectors between points are scalar multiples of each other.
Example 3:
For points , , and with position vectors , , and , determine collinearity.
First, find vectors and :
Since , points , , and are collinear.
Practice Questions
Question 1:
Given vectors and , find .
Question 2:
If vector and are collinear, find .
To find , equate to :
Question 3:
Prove that points , , and with position vectors , , and are collinear.
Comparing vectors and :
Since , , , and are collinear with the scalar multiplication factor of