The dot product of two vectors \( \vec{a} \) and \( \vec{b} \) is
a⋅b=∥a∥×∥b∥cosθ,
where θ is the angle between the vectors a and b.
Algebraically, the dot product of two vectors a=[a1,a2,…,an] and b=[b1,b2,…,bn] is given by
a⋅b=∑aibi.
The equivalence of these two forms can be shown through the cosine rule.
The dot product satisfies the following properties:
If a⋅b=0, then θ=90∘, implying a and b are orthogonal.
a⋅a=∥a∥2.
Given vectors a and b, the projection of a onto b is given by \vec{a}_\vec{b} = \frac { \vec{a} \cdot \vec{b} } { \lVert \vec{b} \rVert} . This formula is useful for finding the (perpendicular) distance of a point to a line (or hyperplane).
Worked Examples
1. Derive the law of cosines.
Solution: In triangle OAB, let OA=a, OB=b and BA=c=a−b. Then, we have
3. In a circle Γ with center O and radius r, we have inscribed a regular n−gon A1A2…An. If P is any point on the circumference, show that ∑∣AiP∣2=2nr2.
Solution: Let O be the origin. Then A1+…+An=0. Hence,
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a_{i-1}
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I don't get that last one, #3: Why is Sum of A vectors up to An zero? Also, what is the meaning of A1A2...An, the product of all -gons before the n gon and including?
Easy Math Editor
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2^{34}
a_{i-1}
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I don't get that last one, #3: Why is Sum of A vectors up to An zero? Also, what is the meaning of A1A2...An, the product of all -gons before the n gon and including?
Thanks,
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the sum of A VECTORS adds up to zero as it results into a closed structure and hence the addition resulting in a zero resultant vector.
good
Nice proof for the last question