( 3 2 0 2 1 ) − ( 6 2 0 2 1 ) + ( 9 2 0 2 1 ) − . . . + ( 2 0 1 9 2 0 2 1 ) = a × 1 0 k Here the number has been expressed in scientific form. Enter ⌈ a ⌉ × k
For more finite series : A finite series-2 , A finite series-3
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Let N : = 2 0 2 1 and define the sequence a k : = ( − 1 ) k + 1 ( k N ) . If we wanted to calculate the sum over the entire sequence a k , the task would be quite easy. However, we are only interested in every third term! What we need is a filter that takes in the entire sequence a k and sets all unwanted terms to zero. Luckily, there is a thing called
Unity-Filter: Let n ∈ N and define z = e i n 2 π as the fundamental n'th root of unity. Then k ∈ Z : u k ( n ) : = n 1 l = 0 ∑ n − 1 z k l = { 1 : 0 : k ∈ n Z else
If we multiply the unity-filter with a sequence, it only lets every n'th element pass and sets all other elements to zero. In this task, we need a unity-filter with n = 3 to rewrite the sum X we need to calculate. Adding a 0 = − 1 , we get X − 1 : = k = 0 ∑ ⌊ 3 N ⌋ a 3 k = k = 0 ∑ N u k ( 3 ) a k = 3 1 l = 0 ∑ 2 k = 0 ∑ N ( k N ) ( − 1 ) k + 1 z l k = − 3 1 l = 0 ∑ 2 ( 1 − z l ) N ∣ Binomial Theorem The term with l = 0 vanishes, and the other two are complex conjugates because z 2 = z ∗ : X = 1 − 3 2 ℜ { ( 1 − z ) N } = 1 − 3 2 ⋅ 3 2 N cos ( − N 6 π ) = 1 + 3 2 N − 1 ∣ ∣ ∣ 1 − z = 1 − e i 3 2 π = 3 e − i 6 π While it is possible to calculate X with arbitrary size integers (e.g. with maxima), we can also use logarithms to find a , k : k = ⌊ lo g 1 0 ( 1 + 3 2 N − 1 ) ⌋ = : ⌊ k ′ ⌋ = 4 8 1 , a = ⌈ 1 0 k ′ − k ⌉ = 8 ⇒ a × k = 3 8 4 8
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