Compute the remainder when ( 1 2 0 1 4 ) + ( 4 2 0 1 4 ) + ( 7 2 0 1 4 ) + ⋯ + ( 2 0 1 4 2 0 1 4 ) is divided by 1 0 0 0 .
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By Euler's Theorem, 2 ϕ ( 1 2 5 ) ≡ 2 1 0 0 ≡ 1 ( m o d 1 2 5 ) , so 2 2 0 1 4 ≡ 2 1 4 ≡ ( 2 7 ) 2 ≡ 1 2 8 2 ≡ 3 2 ≡ 9 ( m o d 1 2 5 ) . Also, 2 2 0 1 4 ≡ 0 ( m o d 8 ) . Since 3 8 4 ≡ 9 ( m o d 1 2 5 ) and 3 8 4 ≡ 0 ( m o d 8 ) , by the Chinese Remainder Theorem, 2 2 0 1 4 ≡ 3 8 4 ( m o d 1 0 0 0 ) .
Then 2 2 0 1 4 − 1 ≡ 3 8 3 ( m o d 1 0 0 0 ) , and 3 2 2 0 1 4 − 1 ≡ 3 8 3 ⋅ 3 − 1 ( m o d 1 0 0 0 ) . Since 3 ⋅ 6 6 7 ≡ 2 0 0 1 ≡ 1 ( m o d 1 0 0 0 ) , 3 − 1 ≡ 6 6 7 ( m o d 1 0 0 0 ) , so 3 8 3 ⋅ 3 − 1 ≡ 3 8 3 ⋅ 6 6 7 ≡ 4 6 1 ( m o d 1 0 0 0 ) .
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Sorry guys, I have rechecked my answer and yes I multiplied it wrongly. Peace
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can you please elaborate how you got your second and third equation?? Simplification i got , but how you got the equations themselves is what i want to learn. @Sean Ty
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@Ashu Dablo – You can easily get the ( 1 + w ) and ( 1 + w 2 ) . Although, if you expand it, you won't get the desired cancellations. Therefore, we have to multiply it by some power of w such that the desired cancellations will happen.
@Sean Ty : It will be helpful for others if you edit your solution to add @Jon Haussmann 's comment
One can use the multisection formula and obtain the result directly. The multisection formula states that-
If f ( x ) = ∑ k a k x k ,
then ∑ k = r ( m o d m ) a k x k = m 1 ∑ s = 0 m − 1 ω − r s f ( ω s x ) where ω = e m 2 k π
ANSWER SHOULD BE 461
Answer should be 461 @Sean Ty
How did you get that w^2(1+w)^{2014}+w(1+w^2)^{2014}} = w+w^2?
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w^2 + w + 1 = 0 <=> 1 + w = - w^2 => w^2(-w^2)^{2014} = w^4030
4030 mod 3 = 1 => w^2(1+w)^{2014} = w
same thing for w(1+w^2)^{2014}}
This means that adding every third binomial coefficient just gives one third of the sum of the whole row (ignoring ( 0 2 0 1 4 ) ), right?
Let a n , b n , c n be the sum of the binomial coefficients ( i n ) where i is congruent to 0 , 1 , 2 mod 3 , respectively. The problem is asking for b 2 0 1 4 .
Pascal's identity gives a n b n c n = c n − 1 + a n − 1 = a n − 1 + b n − 1 = b n − 1 + c n − 1 so we can apply recursively to get a n b n c n = c n − 2 + 2 n − 2 = a n − 2 + 2 n − 2 = b n − 2 + 2 n − 2 and applying this three times gives b n = 2 n − 2 + 2 n − 4 + 2 n − 6 + b n − 6 .
In particular b 2 0 1 4 = 2 2 0 1 2 + 2 2 0 1 0 + ⋯ + 2 4 + b 4 = 2 2 0 1 2 + 2 2 0 1 0 + ⋯ + 2 4 + 5 = 2 2 0 1 2 + 2 2 0 1 0 + ⋯ + 2 4 + 2 2 + 1 = 3 2 2 0 1 4 − 1 and we can proceed as in the other solution.
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Nice problem, whenever we see problems like this, we could use the Roots of Unity . In this case, we use the primitive cube root of 1 , which we will call w . Therefore w 2 + w + 1 = 0 and w 3 = 1 . We know that:
( 1 + 1 ) 2 0 1 4 = ( 0 2 0 1 4 ) + ( 1 2 0 1 4 ) + ( 2 2 0 1 4 ) + ⋯ + ( 2 0 1 4 2 0 1 4 ) w 2 ( 1 + w ) 2 0 1 4 = ( 0 2 0 1 4 ) w 2 + ( 1 2 0 1 4 ) + ( 2 2 0 1 4 ) w + ⋯ + ( 2 0 1 4 2 0 1 4 ) w ( 1 + w 2 ) 2 0 1 4 = ( 0 2 0 1 4 ) w + ( 1 2 0 1 4 ) + ( 2 2 0 1 4 ) w 2 + ⋯ + ( 2 0 1 4 2 0 1 4 )
Also, it's widely known that k = 0 ∑ n ( k n ) = 2 n .
For convenience, let ( 1 2 0 1 4 ) + ( 4 2 0 1 4 ) + ⋯ + ( 2 0 1 4 2 0 1 4 ) = m
Adding our first three equations, we get w 2 ( 1 + w ) 2 0 1 4 + w ( 1 + w 2 ) 2 0 1 4 + 2 2 0 1 4 = 3 m
⟹ w + w 2 + 2 2 0 1 4 = 3 m
⟹ m = 3 2 2 0 1 4 − 1
And m ≡ 4 6 1 ( m o d 1 0 0 0 )