Consider the regular octagon centered at the origin as shown above. Eight unit vectors are drawn from the center of the octagon to each of its vertices. For each pair of distinct unit vectors, the dot product is computed. What is the sum of all of these dot products?
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It is superb solution. Thank you.
A (B + C) = A B + A C is not actually an ever true identity though. When involving with an upright in general number (3 dimensional number); it has to be true only occasionally, when B and C is said to be co-directional, where their complex portion is of exactly sole directional the same, not even relation of -1 or exact opposite is allowed. Otherwise, the logic is incorrect instead. This also explains why Complex functions such as trigonometric and hyperbolic plus their inverses are invalid to 3 dimensional numbers as their derivatives based on this identity ought to fail. Only Ln G is one step definable as | G | + j Q + k P.
Let the vectors be represented by v i .
We have
∑
v
i
=
0
(since pairs of them cancel out).
We also have
∑
v
i
2
=
8
since each of them are unit vectors.
Since
( ∑ v i ) 2 = ∑ v i 2 + 2 i < j ∑ v i v j .
Hence, we conclude that ∑ v i v j = 2 0 − 8 = − 4 .
Note: All that we needed was ∑ v i = 0 . We didn't need to know the exact shape of the octagon.
Could u explain where the 3rd equation comes from?? Thanks!
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(Made slight edits.)
What happens when you square ∑ v i ? You get the square of the individual terms which are ∑ v i 2 , and you also get the cross terms which are ∑ v i v j with j = i .
Note that we only want each pair once, and we don't want both v i v j and v j v i to appear in the summation. Hence this accounts for the coefficient of 2.
This is powerful provided the equation is true.
Let the vectors be v 1 , … , v 8 . For any given vector v i we have j ∑ v i ⋅ v j = v i ⋅ ( j ∑ v j ) = v i ⋅ 0 = 0 . But we must sum pairs of distinct vectors, so we subtract the product of v i with itself: j = i ∑ v i ⋅ v j = ( j ∑ v i ⋅ v j ) − v i ⋅ v i = 0 − v i 2 = − 1 . Adding this for all eight vectors we get i ∑ j = i ∑ v i ⋅ v j = 8 ( − 1 ) = − 8 . However, now we have counted each pair i = j twice, so divide by two. The answer is 2 − 8 = − 4 .
Fun solution!
The dot product of vectors is distributive over addition. As such, for a given pair ( v i , v j ) , the two products v i . v j and v i . − v j cancel out, except that we have an unpaired term where v i = − v j (since only distinct pairs are counted).
So it's just v 1 . v 5 + v 2 . v 6 + v 3 . v 7 + v 4 . v 8 . Each of these dot products is equal to 1 × 1 cos π = − 1 , giving a total of − 4 .
A (B + C) = A B + A C is not actually an ever true identity though. When involving with an upright in general number (3 dimensional number); it has to be true only occasionally, when B and C is said to be co-directional, where their complex portion is of exactly sole directional the same, not even relation of -1 or exact opposite is allowed. Otherwise, the logic is incorrect instead. This also explains why Complex functions such as trigonometric and hyperbolic plus their inverses are invalid to 3 dimensional numbers as their derivatives based on this identity ought to fail. Only Ln G is one step definable as | G | + j Q + k P.
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There are a total of ( 2 8 ) = 2 8 pairs of unit vectors: 8 pairs make an angle of 4 5 ∘ , 8 pairs make an angle of 9 0 ∘ , 8 pairs make an angle of 1 3 5 ∘ , and 4 pairs make an angle of 1 8 0 ∘ . Using the formula u ⋅ v = ∥ u ∥ ∥ v ∥ cos ( θ ) and since each vector is has magnitude 1, the contribution by each type is:
8 cos ( 4 5 ∘ ) 8 cos ( 9 0 ∘ ) 8 cos ( 1 3 5 ∘ ) 4 cos ( 1 8 0 ∘ ) = 4 2 = 0 = − 4 2 = − 4
The sum of all these values is − 4 .