FFT & NTT 复习笔记

默认文中的形如 \([l,r)\) 的区间为其与整数集的交集。

快速变换

设原多项式为 \(F(x) = \sum_{i \in [0,n)} a_i x ^ i\),其中 \(n = 2 ^ k, k \in \mathbb Z ^ +\)

我们要求 \(\forall i \in [0,n),\hat a_i = F(t_i)\),其中 \(t\) 是一个长度为 \(n\) 且两两互不相同的序列。

显然 \(F\) 可以被一组 \(\hat a,t\) 唯一确定,即点值表示法。


另设两个多项式

\[G_0(x)=a_0 + a_2 x + \dots + a_{n - 2} x^{\frac n 2 - 1} \\ G_1(x)=a_1 + a_3 x + \dots + a_{n - 1} x^{\frac n 2 - 1} \\ \]

则有

\[\begin{aligned} F(x) & = \sum_{i \in [0,n)} a_i x ^ i \\ & = a_0 + a_1 x + a_2 x^2 + \dots + a_{n-1} x^{n-1} \\ & = (a_0 + a_2 x^2 + \dots + a_{n-2} x^{n-2}) + (a_1 x + a_3 x^3 + \dots + a_{n-1} x^{n-1}) \\ & = G_0 (x ^ 2) + x G_1 (x ^ 2) \\ \end{aligned} \]


考虑构造单位根 \(\omega _n ^k\) 满足 \(\omega _n ^{\frac n 2} = -1, \omega _{2n} ^ {2k} = \omega _n ^k\)

显然也有 \(\omega _n ^n = \omega _n ^0 = 1\)

\(\forall i \in [0,n), t_i = \omega _n ^i\)

\(x = \omega _n ^k, k \in [0,\frac n 2)\) 时显然有

\[\begin{aligned} F(\omega _n ^k) & = G_0(\omega _n ^{2k}) + \omega _n ^k G_1(\omega _n ^{2k}) \\ & = G_0(\omega _ {\frac n 2} ^ k) + \omega _n ^k G_1(\omega _{\frac n 2} ^k) \\ \end{aligned} \]

\(x = \omega _n ^{k + \frac n 2}, k \in [0,\frac n 2)\) 时有

\[\begin{aligned} F(\omega _n ^{k + \frac n 2}) & = G_0(\omega _n ^{2k + n}) + \omega _n ^{k + \frac n 2} G_1(\omega _n ^{2k + n}) \\ & = G_0(\omega _n ^{2k} \cdot \omega _n ^n) - \omega _n ^k G_1(\omega _n ^{2k} \cdot \omega _n ^n) \\ & = G_0(\omega _n ^{2k}) - \omega _n ^k G_1(\omega _n ^{2k}) \\ & = G_0(\omega _{\frac n 2} ^k) - \omega _n ^k G_1(\omega _{\frac n 2} ^k) \\ \end{aligned} \]


由于两者只有一个符号的差异,于是 \(F\) 的点值可以直接 \(\mathrm O(n)\)\(G_0, G_1\) 的点值得到。

递归解决,时间复杂度 \(\mathrm O(n \log n)\)

逆变换

设变换后的点值序列为 \(\hat a\),即

\[\begin{aligned} \forall i \in [0,n), \hat a_i & = F(\omega _n ^i) \\ & = \sum _{j \in [0,n)} a_j (\omega _n ^i)^j \\ & = \sum _{j \in [0,n)} a_j \omega _n ^{ij} \\ \end{aligned} \]

设多项式 \(\hat F(x) = \sum _{i \in [0,n)} \hat a_i x^i\)

\(\hat F\) 进行点值变换(\(\forall i \in [0,n),t_i = \omega _n ^{-i}\)),设点值序列为 \(s\)

则有

\[\begin{aligned} \forall i \in [0,n), s_i & = \hat F(\omega _n ^{-i}) \\ & = \sum _{j \in [0,n)} \hat a_j (\omega _n ^{-i}) ^j \\ & = \sum _{j \in [0,n)} \omega _n ^{-ij} \hat a_j \\ & = \sum _{j \in [0,n)} \omega _n ^{-ij} \sum _{k \in [0,n)} a_k \omega _n ^{jk} \\ & = \sum _{j \in [0,n), k \in [0,n)} \omega _n ^{-ij} a_k \omega _n ^{jk} \\ & = \sum _{j \in [0,n), k \in [0,n)} \omega _n ^{j(k-i)} a_k \\ & = \sum _{k \in [0,n)} a_k \sum _{j \in [0,n)} \omega _n ^{j(k-i)} \\ & = \sum _{k \in [0,n)} a_k \sum _{j \in [0,n)} (\omega _n ^{k-i}) ^j \\ \end{aligned} \]


显然第二个求和是一个等比数列,由等比数列求和公式 \(\sum _{i \in [m,n)} p^i = \frac {p^m - p^n} {1 - p}\) 得:

  • \(\omega _n ^{k-i} \not = 1 \iff i \not = k\)

\[\begin{aligned} \sum _{j \in [0,n)} (\omega _n ^{k-i}) ^j & = \frac {1 - \omega _n ^{(k-i) n}} {1 - \omega _n ^{k-i}} \\ & = \frac {1 - (\omega _n ^{k-i}) ^n} {1 - \omega _n ^{k-i}} \\ & = \frac {1 - 1} {1 - \omega _n ^{k-i}} \\ & = 0 \end{aligned} \]

  • \(\omega _n ^{k-i} = 1 \iff i = k\)

\[\sum _{j \in [0,n)} (\omega _n ^{k-i}) ^j = \sum _{j \in [0,n)} 1 = n \]


因此

\[\begin{aligned} \forall i \in [0,n), s_i & = \sum _{k \in [0,n)} a_k \sum _{j \in [0,n)} (\omega _n ^{k-i}) ^j \\ & = n a_i \\ \end{aligned} \]

于是我们有

\[\forall i \in [0,n), a_i = \frac {s_i} n \]

构造单位根

  • FFT

在复数域下,有 \(\omega _n = \cos \frac {2 \pi} n + \mathrm i \sin \frac {2 \pi} {n}\)

其中 \(\mathrm i = \sqrt {-1}\) 是 虚数单位,可以用 C++ 中的 complex 库中的 std::complex<double/long double> 存储复数。

  • NTT

对于模数 \(P \in \mathbb P, \exist n,k \in \mathbb Z^+, P=2^nk+1\),在模 \(P\) 意义下有 \(\omega _n \equiv g ^ {\frac {P-1} n}\),其中 \(g\) 是原根。

\(g\) 是模 \(P\) 意义下的原根当且仅当 \(g ^i \not \equiv 1 \pmod P,\forall i \in [1,\phi(P))\)\(g ^{\phi(P)} \equiv 1 \pmod P\)

specially,\(\forall P \in \mathbb P\),其原根 \(g\) 满足 \(\forall i \in [1,P-1), g ^i \not \equiv 1 \pmod P\)\(g^{P-1} \equiv 1 \pmod P\)

于是对 \(n = 2 ^m, m \in \mathbb Z ^+\),我们有 \(\omega _n ^n \equiv g ^{\frac {P - 1} {n} \cdot n} \equiv g ^{P - 1} \equiv 1, \pmod P\),且 \(\omega _n ^{\frac n 2} \equiv g ^{\frac {P - 1} 2} \equiv \pm \sqrt {g ^ {P - 1}} \equiv \pm 1 \pmod P\),又 \(g ^ {\frac {P-1} 2} \not \equiv 1 \pmod P\),所以 \(\omega _n ^{\frac n 2} \equiv -1 \pmod P\)

还有 \(\omega _{2n} ^{2k} \equiv g ^{\frac {2k(P-1)} {2n}} \equiv g ^{\frac{k(P-1)} n} \equiv \omega _n ^k \pmod P\)

由于原根的特殊性,模数 \(P \in \mathbb P\) 有特殊的限制,一般有 \(P = k 2 ^m + 1, k,m\in \mathbb Z ^+\)

常见的模数有

\[167772161 = 5 \times 2 ^{25} + 1, g = 3 \\ 469762049 = 7 \times 2 ^{26} + 1, g = 3 \\ 754974721 = 45 \times 2 ^{24} + 1, g = 11 \\ 998244353 = 119 \times 2 ^{23} + 1, g = 3 \\ 1004535809 = 479 \times 2 ^{21} + 1, g = 3 \\ \]

posted @ 2024-06-22 17:34  lnw143  阅读(18)  评论(0编辑  收藏  举报