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This problem ties together several different ideas in mathematics. Having a strong understanding of the basics allows us to make quick deductions on how best to proceed approximating the answer.
If you do not know initially that m is greater then 100 then how you will proceed ?
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I suppose I didn't really need to reference the inspiration problem here, since from the second to last inequality in my calculation it is clear that m > 1 0 0 . in which case m 2 ( m − 1 0 0 ) > 3 9 6 2 5 is an appropriate inequality to work with. I suppose we could take one more step and let k = m − 1 0 0 > 0 , giving us
( 1 0 0 + k ) 2 × k > 3 9 6 2 5 ⟹
k > ( 1 0 0 + k ) 2 3 9 6 2 5 > 1 0 0 2 3 9 6 2 5 = 3 . 9 6 2 5 ⟹ k ≥ 4 .
But doesn't n = 10 make the initial inequality wrong?
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Sorry! Someone completely changed my original problem without any input from me. The powers should be 5 0 and not 5 . I've changed it back to its original form.
P.S.. I've noticed your report. Hopefully you'l get credit for a correct answer soon. :)
Sir, I tried to solve it in a different way but ended up in a confusion. Please let me know where I did mistake.Here is my approach. Take logarithm on both sides, we get Log(n^50+(n+1)^50) > log((n+2)^50) We know that log( a+b)=log a log b , we get Log(n^50) log((n+1)^50) > log ((n+2)^50) We know that log(a^x)=x log a, we get 50 50 log (n) * log (n+1) > 50 log (n+2) Now cancelling 50 and applying log a * log b= log (a+b), we get 50 log(2n+1) > log (n+2) =>(2n+1)^50 > (n+2)
To satisfy the above equation, the least value of n be 1. But if I substitute n=1 in the given equation, it is not satisfying.
Please let me know the mistake I made in solving the problem
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The rule for logs is that lo g ( a b ) = lo g ( a ) + lo g ( b ) , and not the equation lo g ( a + b ) = lo g ( a ) lo g ( b ) . Try a = b = 1 in your equation, for example. lo g ( a + b ) would equal lo g ( 2 ) = 0 , but lo g ( a ) + lo g ( b ) = lo g ( 1 ) + lo g ( 1 ) = 0 .
...or you just go use Excel like I did
This is whack! What class would one normally have to have completed to know this?
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I would think a high school senior on the math team would have the knowledge and problem-solving ability to solve this analytically.
what is o ( m − 7 ) ? very nice problem btw.
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This is known as Big_O notation . So O ( m − 7 ) means that all the remaining powers in the series are ≤ − 7 .
What is the operation involved in the summation of 1/m^k from 0 to 50 and why? Also, i don't get the big_o notation. Thanks!
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The summations are the expansions of ( 1 + m 1 ) 5 0 and ( 1 − m 1 ) 5 0 using the Binomial Theorem .
The Big-O notation O ( m a ) means that all the remaining powers in the series are ≤ a . This is meant to indicate thus their contributions to the sum are increasingly negligible, and the Big-O notation just "collects" them all in one expression.
Brute force it in 3ms!
I do hope I get a lot of downvotes for 'cheating'
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Gives:
n = 103
Process returned 0 (0x0) execution time : 0.003 s
I cheated too, but I didn't have the time to write a program. Thank god for google's feature of not having to press enter to give an answer.
Nothing wrong with brute force, especially when it confirms the analytic result. :)
Thanks for posting your program. (+1)
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.I did the same way but on Keisan Online Calculator.
Tried 1,1,100; 1001,1,100; 50,1,200, just not to give much work to calculator !!! Used function n^50+(n+1)^50 - (n+2)^50 . Checked for change of sign.
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Letting m = n + 1 , the given equation can be rewritten as
m 5 0 > ( m + 1 ) 5 0 − ( m − 1 ) 5 0 ⟹ 1 > ( 1 + m 1 ) 5 0 − ( 1 − m 1 ) 5 0 ⟹
1 > k = 0 ∑ 5 0 ( k 5 0 ) m k 1 − k = 0 ∑ 5 0 ( k 5 0 ) m k ( − 1 ) k ⟹
1 > m 1 0 0 + m 3 3 9 2 0 0 + m 5 4 2 3 7 5 2 0 + O ( m − 7 ) ⟹
m > 1 0 0 + m 2 3 9 2 0 0 + m 4 4 2 3 7 5 2 0 + O ( m − 6 ) ⟹
m 2 ( m − 1 0 0 ) > 3 9 2 0 0 + m 2 4 2 3 7 5 2 0 + O ( m − 4 ) .
Now from the inspiration problem we know that m > 1 0 0 , so the RHS of the equation will max out at about 3 9 2 0 0 + 4 2 5 , so we are looking for the least m such that m 2 ( m − 1 0 0 ) > 3 9 6 2 5 . But as m > 1 0 0 we have that m 2 ( m − 1 0 0 ) > 1 0 0 0 0 ( m − 1 0 0 ) , so m = 1 0 4 is the least m that will accomplish the task, giving us n = m − 1 = 1 0 3 .
(Just as a check, note that 3 × 1 0 3 2 = 3 1 8 2 7 and 4 × 1 0 4 2 = 4 3 2 6 4 .)