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How to solve recurrences with transcendental terms?
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Problem
Problem:
A number is said to be a magic number, if the sum of its digits, taken again and again till it becomes a single digit number, is 1.
Example: $289 => 19 => 10 => 1 => 289$ is a magic number
but, $20 => 2 =>$ not a magic number.
So the simple algorithm is to keep doing the digit sums till we reach a single digit number. I tried to calculate the time complexity of this algorithm, and came up with the following recurrence:
$$T(n) = T(lg\ n) + O(1)$$
Let us say we have a number $N$ to test for magic number. The number of digits in this number is $O(lg\ n)$, so the sum of its digits is at most $9*lg\ n$ which is $O(lg\ n)$. So we have one smaller subproblem of size $lg\ n$ and some constant work to return data.
How do I solve this recurrence? The answer would be, ostensibly, the number of times I have to take $log $ of a number to get to 1. Is there a direct equation for this?
A number is said to be a magic number, if the sum of its digits, taken again and again till it becomes a single digit number, is 1.
Example: $289 => 19 => 10 => 1 => 289$ is a magic number
but, $20 => 2 =>$ not a magic number.
So the simple algorithm is to keep doing the digit sums till we reach a single digit number. I tried to calculate the time complexity of this algorithm, and came up with the following recurrence:
$$T(n) = T(lg\ n) + O(1)$$
Let us say we have a number $N$ to test for magic number. The number of digits in this number is $O(lg\ n)$, so the sum of its digits is at most $9*lg\ n$ which is $O(lg\ n)$. So we have one smaller subproblem of size $lg\ n$ and some constant work to return data.
How do I solve this recurrence? The answer would be, ostensibly, the number of times I have to take $log $ of a number to get to 1. Is there a direct equation for this?
Solution
The function $\log^\ast$ ("log-star", iterated logarithm), which shows up in complexity theory, is exactly the number of applications of $\log$ which reduce a number below some constant.
(Confusingly, in information theory the same notation is used for the function $\log + \log\log + \log\log\log + \cdots$.)
(Confusingly, in information theory the same notation is used for the function $\log + \log\log + \log\log\log + \cdots$.)
Context
StackExchange Computer Science Q#69650, answer score: 7
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