Some useful conclution for some naive algorithms to solve number theory problem

Правка en6, от zhengqingyuan, 2024-09-19 10:15:54

Here are some useful conclution for naive algorithms to solve number theory problem,I hope you can know something about it and solve number theory problems more easily.

1.The number of prime factors of an intelliger

It's sure that the number of prime factors of an intelliger is very small,and an intelliger $$$v$$$ can be divided into $$$\log_2(v)$$$ primes.This can be used for bruteforce and State compression.

example:510D.

2.The number of factors of an intelliger

First of all,$$$\sum_{i = 1} ^ n \operatorname{d}(n) = \sum_{i = 1} ^ n [\frac{n}{i}] \approx n \ln n$$$.

Then I've found out that the number of factors of an intelliger($$$\operatorname{d}(n)$$$) is usually small,and to make sure,I made a code to get the maxinum number of the number of factors,and get:

  1. For $$$n \le 10 ^ 4,\max \operatorname{d}(n) <= 68$$$;
  2. For $$$n \le 5 \times 10 ^ 4,\max \operatorname{d}(n) <= 100$$$;
  3. For $$$n \le 10 ^ 5,\max \operatorname{d}(n) <= 128$$$;
  4. For $$$n \le 2 \times 10 ^ 5,\max \operatorname{d}(n) <= 160$$$;
  5. For $$$n \le 3 \times 10 ^ 5,\max \operatorname{d}(n) <= 180$$$;
  6. For $$$n \le 5 \times 10 ^ 5,\max \operatorname{d}(n) <= 200$$$;
  7. For $$$n \le 10 ^ 6,\max \operatorname{d}(n) <= 240$$$;
  8. For $$$n \le 5 \times 10 ^ 6,\max \operatorname{d}(n) <= 384$$$;
  9. For $$$n \le 10 ^ 7,\max \operatorname{d}(n) <= 448$$$;

So if your solution of a problem is $$$\operatorname{O}(n\max \operatorname{d}(a_i))$$$ or $$$\operatorname{O}(\sum \operatorname{d}(a_i))$$$,it might be correct because for $$$a_i \le 10 ^ 7$$$,it's sure that $$$\operatorname{d}(a_i) \le 500$$$.

examples:

3.Euler's Function: $$$\operatorname{O}(\log_2(v))$$$ times to $$$1$$$.

It's sure that $$$\phi(n) \le \frac{n}{2}$$$ for $$$2 | n$$$,and $$$2 | \phi(n)$$$ for $$$n > 1$$$.So if you use operation $$$x = \phi(x)$$$ for $$$x = n$$$ initially,it will become $$$1$$$ in $$$\operatorname{O}(\log_2 n)$$$ times.

example:906D.

Теги number theory, brute force, maths

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  Rev. Язык Кто Когда Δ Комментарий
en7 Английский zhengqingyuan 2024-09-19 11:52:50 5 Tiny change: '{O}(\log_2(v))$ times t' -> '{O}(\log_2 n)$ times t'
en6 Английский zhengqingyuan 2024-09-19 10:15:54 484 (published)
en5 Английский zhengqingyuan 2024-09-19 09:47:36 2 Tiny change: 'or $\operaotrname{O}(\' -> 'or $\operatorname{O}(\'
en4 Английский zhengqingyuan 2024-09-19 09:47:22 20
en3 Английский zhengqingyuan 2024-09-19 09:46:32 17
en2 Английский zhengqingyuan 2024-09-19 09:45:57 7 Tiny change: 'ox n \ln n\n\nI've found' -> 'ox n \ln n$.\n\nThen I've found'
en1 Английский zhengqingyuan 2024-09-19 09:45:35 1816 Initial revision (saved to drafts)