m = 0 ∑ ∞ n = 0 ∑ ∞ 2 m ( 2 m + 2 n ) m + n + m n = ?
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Hey Pranjal from where did You get this Problem ? I'am amazed That My Math Teacher Takes This question as Class illustration recently . And Now I think That She Also Uses Brilliant. ! ⌣ ¨
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You should ask your teacher!
If she does, good for you :)
If she doesn't, introduce her to the wonder that is Brilliant! :)
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Yes , I will surely asked him in her Next Lecture ! And Actually My Previous Math Teacher @Vagish Jha Sir is already on Brilliant, I respect him Very much But Unfortunately He Had Left our Institute , and actually he Taught Me in my 12th Class , and suggested me To use Brilliant , From That Day I used Brilliant for regularly bases ! ⌣ ¨
So far I have recommended Brilliant to 500 people.
Can you explain me the Second last line
Great question and great solution. I found the result by brute force.
How did you get the second line?
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Which one?
2 S = ∑ m = 0 ∞ ∑ n = 0 ∞ 2 m + 2 n m + n + m n ∗ ( 2 m 1 + 2 n 1 ) is just distributive law,
∑ m = 0 ∞ ∑ n = 0 ∞ 2 m + 2 n m + n + m n ∗ 2 m 1 + 2 n 1
= ∑ m = 0 ∞ ∑ n = 0 ∞ ( m + n + m n ) ∗ 2 m ∗ 2 n 1 also looks like distributive law to me: encapsulating 2 m ∗ 2 n 1 from above's equation. Both sides can be multiplied by 2 m ∗ 2 n , then it is obvious that this step is true. Deriving those steps might just require a keen eye or really lots of practice..
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@Alisa Meier No I mean, how do you go from S = m = 0 ∑ ∞ n = 0 ∑ ∞ 2 m ( 2 m + 2 n ) m + n + m n to 2 S = m = 0 ∑ ∞ n = 0 ∑ ∞ 2 m + 2 n m + n + m n × [ 2 m 1 + 2 n 1 ] ?
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@Jessica Wang – Oh, it is even easier. Symmetry. Just compare the terms and you see they are equal:
S = ∑ m = 0 ∞ ∑ n = 0 ∞ 2 m ( 2 m + 2 n ) m + n + m n = ∑ n = 0 ∞ ∑ m = 0 ∞ 2 m ( 2 m + 2 n ) m + n + m n
S = ∑ m = 0 ∞ ∑ n = 0 ∞ 2 n ( 2 m + 2 n ) m + n + m n = ∑ n = 0 ∞ ∑ m = 0 ∞ 2 n ( 2 m + 2 n ) m + n + m n
For further reading: "Riemann Rearrangement Theorem"
Related: "Riemann series theorem"
Loved your solution !! Thanks !!
The symmetrizing of n and m is readily seen when you type all the sum in a sieve and analize it as an infinite matrix; this method has always been of my predilection since i first thought of it, the key is the identity that makes the colapsing of the sum in the denominator to a power of 2 and so you can add it because the numerators form a symmetric matrix and use some nice identities on the sums of powers.
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What other nice identities do you know involving this idea? Care to share?
I have used the interactive phase of Java to evaluate the sum. That is I have used net beans IDE for the purpose. And the code used is as follows:
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As the terms after large values of "n" and "m" becomes too insignificant to affect the answer thus we can run the loop up to 100000 to have a fair idea of the answer.
Can you post the code? It would be appreciated.
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I have used the interactive phase of Java to evaluate the sum. That is I have used net beans IDE for the purpose. And the code used is as follows:
1 2 3 4 5 6 7 8 9 10 11 12 |
|
As the terms after large values of "n" and "m" becomes too insignificant to affect the answer thus we can run the loop up to 100000 to have a fair idea of the answer.
Log in to reply
Vinay, please refrain from typing in all capital letters, as that is taken to mean that you are shouting and is generally considered disrespectful on the internet.
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Considering m and n as identical and independent
S = m = 0 ∑ ∞ n = 0 ∑ ∞ 2 m ( 2 m + 2 n ) m + n + m n
2 S = m = 0 ∑ ∞ n = 0 ∑ ∞ 2 m + 2 n m + n + m n × [ 2 m 1 + 2 n 1 ]
= m = 0 ∑ ∞ n = 0 ∑ ∞ ( m + n + m n ) × 2 n 1 × 2 m 1
= m = 0 ∑ ∞ m ( 2 1 ) m n = 0 ∑ ∞ ( 2 1 ) n + m = 0 ∑ ∞ ( 2 1 ) m n = 0 ∑ ∞ n ( 2 1 ) n + m = 0 ∑ ∞ m ( 2 1 ) m n = 0 ∑ ∞ n ( 2 1 ) n
Thus
2 S = 4 + 4 + 2 . 2 = 1 2
S = 6