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

Revision en8, by zhengqingyuan, 2024-09-20 08:20:32

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 integer

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

example:510D.

2.The number of factors of an integer

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 integer($$$\operatorname{d}(n)$$$) 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: $$$\operatorname{O}(\log_2 n)$$$ 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.

Tags number theory, brute force, maths

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en22 English zhengqingyuan 2024-09-20 11:02:07 117
en21 English zhengqingyuan 2024-09-20 10:59:30 18
en20 English zhengqingyuan 2024-09-20 10:58:55 437
en19 English zhengqingyuan 2024-09-20 10:45:05 12 Tiny change: 'er:Timosh]to remind ' -> 'er:Timosh] to remind '
en18 English zhengqingyuan 2024-09-20 10:44:52 10 Tiny change: 'ser:Timosh,2024-9-20]to remind' -> 'ser:Timosh]to remind'
en17 English zhengqingyuan 2024-09-20 10:44:29 10 Tiny change: 'ser:Timosh]to remind' -> 'ser:Timosh,2024-9-20]to remind'
en16 English zhengqingyuan 2024-09-20 10:37:09 29
en15 English zhengqingyuan 2024-09-20 10:35:51 2 Tiny change: 'd}(n) <= 68$;\n2. For' -> 'd}(n) <= 64$;\n2. For'
en14 English zhengqingyuan 2024-09-20 10:29:16 397
en13 English zhengqingyuan 2024-09-20 10:11:11 2 Tiny change: 'on diverse.\n- [user:' -> 'on diverse;\n- [user:'
en12 English zhengqingyuan 2024-09-20 10:10:58 394
en11 English zhengqingyuan 2024-09-20 08:45:40 20 Tiny change: 'v)$ primes.This can ' -> 'v)$ primes ($2 ^ k$ the worst).This can '
en10 English zhengqingyuan 2024-09-20 08:38:08 1 Tiny change: 'e to thanks:\n\n- [us' -> 'e to thank:\n\n- [us'
en9 English zhengqingyuan 2024-09-20 08:37:56 887
en8 English zhengqingyuan 2024-09-20 08:20:32 23
en7 English zhengqingyuan 2024-09-19 11:52:50 5 Tiny change: '{O}(\log_2(v))$ times t' -> '{O}(\log_2 n)$ times t'
en6 English zhengqingyuan 2024-09-19 10:15:54 484 (published)
en5 English zhengqingyuan 2024-09-19 09:47:36 2 Tiny change: 'or $\operaotrname{O}(\' -> 'or $\operatorname{O}(\'
en4 English zhengqingyuan 2024-09-19 09:47:22 20
en3 English zhengqingyuan 2024-09-19 09:46:32 17
en2 English zhengqingyuan 2024-09-19 09:45:57 7 Tiny change: 'ox n \ln n\n\nI've found' -> 'ox n \ln n$.\n\nThen I've found'
en1 English zhengqingyuan 2024-09-19 09:45:35 1816 Initial revision (saved to drafts)