( 3 n ) + ( 7 n ) + ( 1 1 n ) + ⋯ = ?
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Great approach using the roots of unity to find the sum via cancelling of terms.
Why is this stuff level 3 ?
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What level do you expect? It is fluctuating between 3 and 4. ;-)
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Looks like Level 5 to me ! Maybe this is actually easier for most people, but I find it very difficult.
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@Venkata Karthik Bandaru – Most multiple choice questions won't reach level 5 because people can just guess. There's 20% chance of getting it correct by pure guessing. If you think a bit, you can realize that three of the options actually won't give integral answers ( sin 4 n π = ± 2 2 for odd n , and multiplying by 2 n and what else won't remove the 2 ), so you're left with two choices. The fact that one formula survives makes it more likely that it's the answer (instead of the anticlimactic "none of these choices").
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@Ivan Koswara – Initially I thought to put none of these as answer. ;-)
Nice approach. :)
Made typical use of induction to eliminate option using n=3 &n=4 which leads to the correct option within a minute!
Can you show that it's true by induction? I doubt it's that straightforward. Thanks.
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Let i = − 1 . Recall that the binomial theorem says, for any complex x and non-negative integer n ,
( 1 + x ) n = k = 0 ∑ n ( k n ) x k
By the convention that ( k n ) = 0 when k > n , we can change the upper bound:
( 1 + x ) n = k = 0 ∑ ∞ ( k n ) x k
And now we can break it into four separate series according to the value of k m o d 4 :
( 1 + x ) n = k = 0 ∑ ∞ ( 4 k n ) x 4 k + k = 0 ∑ ∞ ( 4 k + 1 n ) x 4 k + 1 + k = 0 ∑ ∞ ( 4 k + 2 n ) x 4 k + 2 + k = 0 ∑ ∞ ( 4 k + 3 n ) x 4 k + 3
Substituting x = 1 ,
( 1 + 1 ) n = k = 0 ∑ ∞ ( 4 k n ) 1 4 k + k = 0 ∑ ∞ ( 4 k + 1 n ) 1 4 k + 1 + k = 0 ∑ ∞ ( 4 k + 2 n ) 1 4 k + 2 + k = 0 ∑ ∞ ( 4 k + 3 n ) 1 4 k + 3 = k = 0 ∑ ∞ ( 4 k n ) + k = 0 ∑ ∞ ( 4 k + 1 n ) + k = 0 ∑ ∞ ( 4 k + 2 n ) + k = 0 ∑ ∞ ( 4 k + 3 n )
Similarly, we can do the same for x = i , − 1 , − i :
( 1 + i ) n ( 1 − 1 ) n ( 1 − i ) n = k = 0 ∑ ∞ ( 4 k n ) i 4 k + k = 0 ∑ ∞ ( 4 k + 1 n ) i 4 k + 1 + k = 0 ∑ ∞ ( 4 k + 2 n ) i 4 k + 2 + k = 0 ∑ ∞ ( 4 k + 3 n ) i 4 k + 3 = k = 0 ∑ ∞ ( 4 k n ) + i k = 0 ∑ ∞ ( 4 k + 1 n ) − k = 0 ∑ ∞ ( 4 k + 2 n ) − i k = 0 ∑ ∞ ( 4 k + 3 n ) = k = 0 ∑ ∞ ( 4 k n ) ( − 1 ) 4 k + k = 0 ∑ ∞ ( 4 k + 1 n ) ( − 1 ) 4 k + 1 + k = 0 ∑ ∞ ( 4 k + 2 n ) ( − 1 ) 4 k + 2 + k = 0 ∑ ∞ ( 4 k + 3 n ) ( − 1 ) 4 k + 3 = k = 0 ∑ ∞ ( 4 k n ) − k = 0 ∑ ∞ ( 4 k + 1 n ) + k = 0 ∑ ∞ ( 4 k + 2 n ) − k = 0 ∑ ∞ ( 4 k + 3 n ) = k = 0 ∑ ∞ ( 4 k n ) ( − i ) 4 k + k = 0 ∑ ∞ ( 4 k + 1 n ) ( − i ) 4 k + 1 + k = 0 ∑ ∞ ( 4 k + 2 n ) ( − i ) 4 k + 2 + k = 0 ∑ ∞ ( 4 k + 3 n ) ( − i ) 4 k + 3 = k = 0 ∑ ∞ ( 4 k n ) − i k = 0 ∑ ∞ ( 4 k + 1 n ) − k = 0 ∑ ∞ ( 4 k + 2 n ) + i k = 0 ∑ ∞ ( 4 k + 3 n )
Now, observe that ( 1 + 1 ) n + i ( 1 + i ) n − ( 1 − 1 ) n − i ( 1 − i ) n add up to exactly 4 ∑ k = 0 ∞ ( 4 k + 3 n ) . (The trick is that we convert the coefficients so that they become the sum of roots of unity, except for the ∑ ( 4 k + 3 n ) one which now becomes all 1 's.)
Additionally, let E ( θ ) = cos θ + i sin θ . ( E is more known as cis , but we also have E ( θ ) = e i θ . Also cis is much harder to type in LaTeX.) Note that E ( θ ) n = E ( n θ ) . Note that ( 1 + i ) n = ( 2 E ( 4 π ) ) n = 2 n / 2 E ( 4 n π ) , and likewise ( 1 − i ) n = ( 2 E ( 4 − π ) ) n = 2 n / 2 E ( 4 − n π ) . Thus,
k = 0 ∑ ∞ ( 4 k + 3 n ) = 4 1 ( ( 1 + 1 ) n + i ( 1 + i ) n − ( 1 − 1 ) n − i ( 1 − i ) n ) = 4 1 ( 2 n + i ⋅ 2 n / 2 E ( 4 n π ) − 0 − i ⋅ 2 n / 2 E ( 4 − n π ) ) = 4 1 ( 2 n + i ⋅ 2 n / 2 ⋅ ( E ( 4 n π ) − E ( 4 − n π ) ) ) = 4 1 ( 2 n + i ⋅ 2 n / 2 ⋅ ( ( cos 4 n π + i sin 4 n π ) − ( cos 4 − n π + i sin 4 − n π ) ) ) = 4 1 ( 2 n + i ⋅ 2 n / 2 ⋅ ( cos 4 n π + i sin 4 n π − cos 4 n π + i sin 4 n π ) ) = 4 1 ( 2 n + i ⋅ 2 n / 2 ⋅ 2 i ⋅ sin 4 n π ) = 2 1 ( 2 n − 1 − 2 n / 2 sin 4 n π )