j = 0 ∑ ∞ i = 0 ∑ ∞ i + j + 1 2 − ( i + j ) = ?
Give your answer to 3 decimal places.
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Good observation about the number of terms, which cancels out the denominator.
this is arguably the best way to solve this problem
Oh wow! Awesome method!
Pls explain, where is K+1 on the upper side come from?
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It is the number of possibilities such that i + j is equal to k .
You need to first justify that rearranging the terms are permitted. You collect the equal terms together, which means you're rearranging things from
( 1 2 0 + 2 2 − 1 + 3 2 − 2 + … ) + ( 2 2 − 1 + 3 2 − 2 + … ) + ( 3 2 − 2 + … )
to
( 1 2 0 ) + ( 2 2 − 1 + 2 2 − 1 ) + ( 3 2 − 2 + 3 2 − 2 + 3 2 − 2 ) + …
This fortunately works for this particular series, but it isn't always guaranteed to work.
Wow!! nice solution.
could u pls explain how u got 2 from 2^-K
How did come k+1 in product ?
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Number of permutation (i, j) where i + j = k and i, j element of [0,k]
Brilliant!
An interesting observation is that the term only depends on i + j , which makes us wish to be able to rearrange the terms of the series. However, this is not always possible (for example, rearranging the terms of a conditionally convergent series might change the sum due to Riemann series theorem ). So we need to establish that the series we have is unconditionally convergent (rearranging the terms don't change the sum).
Since R (with the usual Euclidean metric) is complete, it is enough to show that the series is absolutely convergent. Since all terms of the series are non-negative, it is enough to show that the series converges.
We invoke several theorems:
As a corollary, if { a i } , { b i } are two sequences of non-negative real numbers where a i ≤ b i for all i , and ∑ b i converges, then ∑ a i converges as well. (Observe the partial sums of { a i } ; this is bounded by ∑ b i by the first theorem. The partial sums thus converge by the second theorem; this is ∑ a i .)
In this case, we will use this corollary twice.
First, observe that i + j + 1 2 − ( i + j ) ≤ 2 − ( i + j ) for all i , j ≥ 0 . Moreover, note that the series ∑ j = 0 ∞ 2 − ( i + j ) converges for any i (it's just a geometric series, with sum 2 − i + 1 ). Thus, by the corollary, the series ∑ j = 0 ∞ i + j + 1 2 − ( i + j ) also converges; let's call the value b i . We know it satisfies 0 ≤ b i ≤ 2 − i + 1 (the left-hand inequality is because the terms are non-negative and so the sum is non-negative, the right-hand inequality is due to the first theorem).
Next, we observe the sequence { b i } i = 0 ∞ , which is the thing we want to sum. We know that b i ≤ 2 − i + 1 for all i . Additionally, the series ∑ i = 0 ∞ 2 − i + 1 converges (to 2 2 = 4 , geometric series again), so the series ∑ i = 0 ∞ b i also converges. This means the entire thing converges, and thus is absolutely convergent, and thus is unconditionally convergent. Hence we can rearrange the terms at will.
Now, observe that all terms only depend on i + j , and not what i , j themselves are. Thus we can collect terms having equal i + j . For any non-negative integer k , there are k + 1 pairs of ( i , j ) adding to k (namely ( 0 , k ) , ( 1 , k − 1 ) , ( 2 , k − 2 ) , … , ( k , 0 ) ), all appearing in the series. Hence, instead of working with i , j , we can work on k instead:
i = 0 ∑ ∞ j = 0 ∑ ∞ i + j + 1 2 − ( i + j ) = k = 0 ∑ ∞ ( k + 1 ) ⋅ k + 1 2 − k = k = 0 ∑ ∞ 2 − k = 2 1 = 2
Because all of the terms are positive, this implies that if the sequence is conditionally convergent, then it is also absolutely convergent, and hence we can justify rearranging the terms.
So, instead of being a "Which came first, the chicken or the egg?", we actually get "the chicken and the egg" at the same time.
I = j = 0 ∑ ∞ i = 0 ∑ ∞ i + j + 1 2 − ( i + j ) = j = 0 ∑ ∞ i = 0 ∑ ∞ 2 − ( i + j ) . ∫ 0 1 t i + j d t I = ∫ 0 1 j = 0 ∑ ∞ i = 0 ∑ ∞ ( 2 t ) i + j d t N o w t h i s i s n o t h i n g b u t i n t e g r a l o f i n f i n i t e s u m m a t i o n o f g p . T h e r e f o r e , I = 2
Nice one!!
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Thanks @hasan kassim . did u also do with the same method?
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No I used a different one. I will post it if you want!
Nice solution !
How is (1/i+j+1)= \int _{ 0 }^{ 1 }{ { t }^{ i+j }\quad dt } ??
I constructed the folowing table, which made me see the answer right away:
i,j 0 1 2 3 4 ⋮ 0 1 2 2 − 1 3 2 − 2 4 2 − 3 5 2 − 4 ⋮ 1 2 2 − 1 3 2 − 2 4 2 − 3 5 2 − 4 6 2 − 5 ⋮ 2 3 2 − 2 4 2 − 3 5 2 − 4 6 2 − 5 7 2 − 6 ⋮ 3 4 2 − 3 5 2 − 4 6 2 − 5 7 2 − 6 8 2 − 7 ⋮ 4 … 5 2 − 4 … 6 2 − 5 … 7 2 − 6 … 8 2 − 7 … 9 2 − 8 … ⋮ ⋱
i = 0 ∑ ∞ j = 0 ∑ ∞ i + j + 1 2 − i − j = 1 + 2 × 2 2 − 1 + 3 × 3 2 − 2 + … = 1 + 2 1 + 2 2 1 + 2 3 1 + … = 1 − 2 1 1 = 2 .
woowwwww brilliant
so do the incredible substitution x = i + j. for each x, we end up having x + 1 pairs (i, j) such that i + j = x, so we can really just say this is \sum {k = 0}^{\infty} \frac{2^{-k}}{x + 1} * (x + 1) = \sum {k = 0}^{\infty} 2^{-k} = 2.
Its just what hasan did
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Let us fix i + j = k for a certain k ranging between 0 and ∞ . Now the question is: How many way we can get the sum i + j to be k ?
Note that for i + j = k to be fulfilled, i and j should range between 0 and k : if i = 0 , j = k , if i = 1 , j = k − 1 ... And thus k + 1 possibilities. Therefore:
i + j + 1 2 − ( i + j ) = ( k + 1 ) k + 1 2 − ( k ) = 2 − k
And since ( i , j ) = [ 0 , ∞ ] × [ 0 , ∞ ] = > k ∈ [ 0 , ∞ ] Therefore our sum is equivalent to :
k = 0 ∑ ∞ 2 − k = 2