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等幂求和 Connected to: {{::readMoreArticle.title}} 等幂求和,即法乌尔哈贝尔公式(英语:Faulhaber's formula),是指求幂数相同的变数之和 ∑ i = 1 n x i m {\displaystyle \sum _{i=1}^{n}x_{i}^{m)) 。 常见公式 三角形数: ∑ i = 1 n i = n ( n + 1 ) 2 {\displaystyle \sum _{i=1}^{n}i={\frac {n(n+1)}{2))} 正方形数: ∑ i = 1 n ( 2 i − 1 ) = n 2 {\displaystyle \sum _{i=1}^{n}(2i-1)=n^{2)) 调和级数: ∑ n = 1 k 1 n = ln k + γ + ε k {\displaystyle \sum _{n=1}^{k}\,{\frac {1}{n))\;=\;\ln k+\gamma +\varepsilon _{k)) 一般数列的等幂和 自然数等幂和 ∑ i = 1 n i 0 = n {\displaystyle \sum _{i=1}^{n}i^{0}=n} ∑ i = 1 n i 1 = n ( n + 1 ) 2 = 1 2 n 2 + 1 2 n {\displaystyle \sum _{i=1}^{n}i^{1}={\frac {n(n+1)}{2))={\frac {1}{2))n^{2}+{\frac {1}{2))n} ∑ i = 1 n i 2 = n ( n + 1 ) ( 2 n + 1 ) 6 = 1 3 n 3 + 1 2 n 2 + 1 6 n {\displaystyle \sum _{i=1}^{n}i^{2}={\frac {n(n+1)(2n+1)}{6))={\frac {1}{3))n^{3}+{\frac {1}{2))n^{2}+{\frac {1}{6))n} [1] ∑ i = 1 n i 3 = [ n ( n + 1 ) 2 ] 2 = 1 4 n 4 + 1 2 n 3 + 1 4 n 2 {\displaystyle \sum _{i=1}^{n}i^{3}=\left[{\frac {n(n+1)}{2))\right]^{2}={\frac {1}{4))n^{4}+{\frac {1}{2))n^{3}+{\frac {1}{4))n^{2)) [1] ∑ i = 1 n i 4 = n ( n + 1 ) ( 2 n + 1 ) ( 3 n 2 + 3 n − 1 ) 30 = 1 5 n 5 + 1 2 n 4 + 1 3 n 3 − 1 30 n {\displaystyle \sum _{i=1}^{n}i^{4}={\frac {n(n+1)(2n+1)(3n^{2}+3n-1)}{30))={\frac {1}{5))n^{5}+{\frac {1}{2))n^{4}+{\frac {1}{3))n^{3}-{\frac {1}{30))n} [1] ∑ i = 1 n i 5 = n 2 ( n + 1 ) 2 ( 2 n 2 + 2 n − 1 ) 12 = 1 6 n 6 + 1 2 n 5 + 5 12 n 4 − 1 12 n 2 {\displaystyle \sum _{i=1}^{n}i^{5}={\frac {n^{2}(n+1)^{2}(2n^{2}+2n-1)}{12))={\frac {1}{6))n^{6}+{\frac {1}{2))n^{5}+{\frac {5}{12))n^{4}-{\frac {1}{12))n^{2)) [1] ∑ i = 1 n i 6 = n ( n + 1 ) ( 2 n + 1 ) ( 3 n 4 + 6 n 3 − 3 n + 1 ) 42 = 1 7 n 7 + 1 2 n 6 + 1 2 n 5 − 1 6 n 3 + 1 42 n {\displaystyle \sum _{i=1}^{n}i^{6}={\frac {n(n+1)(2n+1)(3n^{4}+6n^{3}-3n+1)}{42))={\frac {1}{7))n^{7}+{\frac {1}{2))n^{6}+{\frac {1}{2))n^{5}-{\frac {1}{6))n^{3}+{\frac {1}{42))n} [1] ∑ i = 1 n i 7 = n 2 ( n + 1 ) 2 ( 3 n 4 + 6 n 3 − n 2 − 4 n + 2 ) 24 = 1 8 n 8 + 1 2 n 7 + 7 12 n 6 − 7 24 n 4 + 1 12 n 2 {\displaystyle \sum _{i=1}^{n}i^{7}={\frac {n^{2}(n+1)^{2}(3n^{4}+6n^{3}-n^{2}-4n+2)}{24))={\frac {1}{8))n^{8}+{\frac {1}{2))n^{7}+{\frac {7}{12))n^{6}-{\frac {7}{24))n^{4}+{\frac {1}{12))n^{2)) ∑ i = 1 n i 8 = n ( n + 1 ) ( 2 n + 1 ) ( 5 n 6 + 15 n 5 + 5 n 4 − 15 n 3 − n 2 + 9 n − 3 ) 90 = 1 9 n 9 + 1 2 n 8 + 2 3 n 7 − 7 15 n 5 + 2 9 n 3 − 1 30 n {\displaystyle \sum _{i=1}^{n}i^{8}={\frac {n(n+1)(2n+1)(5n^{6}+15n^{5}+5n^{4}-15n^{3}-n^{2}+9n-3)}{90))={\frac {1}{9))n^{9}+{\frac {1}{2))n^{8}+{\frac {2}{3))n^{7}-{\frac {7}{15))n^{5}+{\frac {2}{9))n^{3}-{\frac {1}{30))n} ∑ i = 1 n i 9 = n 2 ( n + 1 ) 2 ( n 2 + n − 1 ) ( 2 n 4 + 4 n 3 − n 2 − 3 n + 3 ) 20 = 1 10 n 10 + 1 2 n 9 + 3 4 n 8 − 7 10 n 6 + 1 2 n 4 − 3 20 n 2 {\displaystyle \sum _{i=1}^{n}i^{9}={\frac {n^{2}(n+1)^{2}(n^{2}+n-1)(2n^{4}+4n^{3}-n^{2}-3n+3)}{20))={\frac {1}{10))n^{10}+{\frac {1}{2))n^{9}+{\frac {3}{4))n^{8}-{\frac {7}{10))n^{6}+{\frac {1}{2))n^{4}-{\frac {3}{20))n^{2)) ∑ i = 1 n i 10 = n ( n + 1 ) ( 2 n + 1 ) ( n 2 + n − 1 ) ( 3 n 6 + 9 n 5 + 2 n 4 − 11 n 3 + 3 n 2 + 10 n − 5 ) 66 = 1 11 n 11 + 1 2 n 10 + 5 6 n 9 − n 7 + n 5 − 1 2 n 3 + 5 66 n {\displaystyle \sum _{i=1}^{n}i^{10}={\frac {n(n+1)(2n+1)(n^{2}+n-1)(3n^{6}+9n^{5}+2n^{4}-11n^{3}+3n^{2}+10n-5)}{66))={\frac {1}{11))n^{11}+{\frac {1}{2))n^{10}+{\frac {5}{6))n^{9}-n^{7}+n^{5}-{\frac {1}{2))n^{3}+{\frac {5}{66))n} [1] ∑ i = 0 n i m − 1 = ∑ k = 0 m S k m n k {\displaystyle \sum _{i=0}^{n}i^{m-1}=\sum _{k=0}^{m}S_{k}^{m}n^{k)) ,其中 S 0 m = 0 {\displaystyle S_{0}^{m}=0} , S m m = 1 m {\displaystyle S_{m}^{m}={\frac {1}{m))} ,当m−k为大于1的奇数时, S k m = 0 {\displaystyle S_{k}^{m}=0} 。 ∑ i = 0 n i m = 1 m + 1 ∑ i = 0 m ( m + 1 i ) B i n m + 1 − i {\displaystyle \sum _{i=0}^{n}i^{m}={1 \over {m+1))\sum _{i=0}^{m}{m+1 \choose {i))B_{i}\,n^{m+1-i)) [2],其中 B i {\displaystyle B_{i)) 是伯努利数。 ∑ i = 1 n i m + 1 = ∑ k = 0 m L k m ( n + k + 1 m + 2 ) , ( L k m = ∑ r = 0 k ( − 1 ) r ( m + 2 r ) ( k + 1 − r ) m + 1 ) {\displaystyle \displaystyle \sum _{i=1}^{n}i^{m+1}=\sum _{k=0}^{m}L_{k}^{m}{\binom {n+k+1}{m+2)),\left(L_{k}^{m}=\sum _{r=0}^{k}(-1)^{r}{\binom {m+2}{r))(k+1-r)^{m+1}\right)} [3] 奇数等幂和与偶数等幂和 ∑ i = 1 n ( 2 i − 1 ) 0 = n {\displaystyle \sum _{i=1}^{n}(2i-1)^{0}=n} ∑ i = 1 n ( 2 i ) 0 = n {\displaystyle \sum _{i=1}^{n}(2i)^{0}=n} ∑ i = 1 n ( 2 i − 1 ) 1 = n 2 {\displaystyle \sum _{i=1}^{n}(2i-1)^{1}=n^{2)) ∑ i = 1 n ( 2 i ) 1 = n ( n + 1 ) {\displaystyle \sum _{i=1}^{n}(2i)^{1}=n(n+1)} ∑ i = 1 n ( 2 i − 1 ) 2 = n ( 2 n − 1 ) ( 2 n + 1 ) 3 {\displaystyle \sum _{i=1}^{n}(2i-1)^{2}={\frac {n(2n-1)(2n+1)}{3))} ∑ i = 1 n ( 2 i ) 2 = 2 n ( n + 1 ) ( 2 n + 1 ) 3 {\displaystyle \sum _{i=1}^{n}(2i)^{2}={\frac {2n(n+1)(2n+1)}{3))} ∑ i = 1 n ( 2 i − 1 ) 3 = n 2 ( 2 n 2 − 1 ) {\displaystyle \sum _{i=1}^{n}(2i-1)^{3}=n^{2}(2n^{2}-1)} ∑ i = 1 n ( 2 i ) 3 = 2 [ n ( n + 1 ) ] 2 {\displaystyle \sum _{i=1}^{n}(2i)^{3}=2\left[n(n+1)\right]^{2)) 多项式求和 维基教科书中的相关电子教程:组合数求和 伯努利数也通用于等差数列的等幂和。[4] ∑ i = 1 n ( a 1 + ( i − 1 ) d ) m = 1 m + 1 ∑ i = 0 m B i d i − 1 ( m + 1 i ) ( a n + 1 m + 1 − i − a 1 m + 1 − i ) {\displaystyle \sum _{i=1}^{n}(a_{1}+(i-1)d)^{m}={\frac {1}{m+1))\sum _{i=0}^{m}B_{i}d^{i-1}{m+1 \choose i}(a_{n+1}^{m+1-i}-a_{1}^{m+1-i})} 也可以利用帕斯卡矩阵,把多项式的和写成矩阵相乘。 ∑ k = 1 n p ( k ) = ( C n 1 C n 2 ⋯ C n m + 1 ) ( C 0 0 0 ⋯ 0 − C 1 0 C 1 1 ⋯ 0 ⋮ ⋮ ⋱ ⋮ ( − 1 ) m C m 0 ( − 1 ) m − 1 C m 1 ⋯ C m m ) ( p ( 1 ) p ( 2 ) ⋮ p ( m + 1 ) ) = ∑ j = 1 m + 1 C n j Δ j − 1 p ( 1 ) {\displaystyle \sum _{k=1}^{n}p(k)={\begin{pmatrix}C_{n}^{1}&C_{n}^{2}&\cdots &C_{n}^{m+1}\end{pmatrix)){\begin{pmatrix}C_{0}^{0}&0&\cdots &0\\-C_{1}^{0}&C_{1}^{1}&\cdots &0\\\vdots &\vdots &\ddots &\vdots \\(-1)^{m}C_{m}^{0}&(-1)^{m-1}C_{m}^{1}&\cdots &C_{m}^{m}\\\end{pmatrix)){\begin{pmatrix}p(1)\\p(2)\\\vdots \\p(m+1)\end{pmatrix))=\sum _{j=1}^{m+1}C_{n}^{j}\Delta ^{j-1}p(1)} [5] [6] [7] 其中 Δ p ( n ) = p ( n + 1 ) − p ( n ) {\displaystyle \Delta p(n)=p(n+1)-p(n)} 也可以将数列表达成组合数然后利用朱世杰恒等式求和。 ∑ i = 1 n ( i 2 − i ) = 2 ∑ i = 1 n C i 2 = 2 C n + 1 3 {\displaystyle \sum _{i=1}^{n}\left(i^{2}-i\right)=2\sum _{i=1}^{n}C_{i}^{2}=2C_{n+1}^{3)) [8] 多项式根的等幂和 主条目:对称多项式 ∏ r = 1 n ( x − x r ) = ∑ r = 0 n a r x r = 0 , s m = ∑ r = 1 n x r m {\displaystyle \prod _{r=1}^{n}(x-x_{r})=\sum _{r=0}^{n}a_{r}x^{r}=0,s_{m}=\sum _{r=1}^{n}x_{r}^{m)) 牛顿公式 s m + a 1 s m − 1 + a 2 s m − 2 + . . . + a m − 1 s 1 + m a m = 0 {\displaystyle s_{m}+a_{1}s_{m-1}+a_{2}s_{m-2}+...+a_{m-1}s_{1}+ma_{m}=0} [9] 组合公式 s m = ∑ r i = 0 ⌊ m i ⌋ m ( r 1 + r 2 + . . . + r n − 1 ) ! r 1 ! r 2 ! . . . r n ! ∏ i = 1 n ( − a n − i ) r i {\displaystyle s_{m}=\sum _{r_{i}=0}^{\lfloor {\frac {m}{i))\rfloor }{\frac {m(r_{1}+r_{2}+...+r_{n}-1)!}{r_{1}!r_{2}!...r_{n}!))\prod _{i=1}^{n}(-a_{n-i})^{r_{i))} 取 m = n = 3 {\displaystyle m=n=3} x 1 3 + x 2 3 + x 3 3 = 3 ( 3 − 1 ) ! 3 ! ( x 1 + x 2 + x 3 ) 3 + 3 ( 1 + 1 − 1 ) ! 1 ! 1 ! ( x 1 + x 2 + x 3 ) ( − x 1 x 2 − x 1 x 3 − x 2 x 3 ) + 3 ( 1 − 1 ) ! 1 ! ( x 1 x 2 x 3 ) {\displaystyle \displaystyle x_{1}^{3}+x_{2}^{3}+x_{3}^{3}={\frac {3(3-1)!}{3!))(x_{1}+x_{2}+x_{3})^{3}+{\frac {3(1+1-1)!}{1!1!))(x_{1}+x_{2}+x_{3})(-x_{1}x_{2}-x_{1}x_{3}-x_{2}x_{3})+{\frac {3(1-1)!}{1!))(x_{1}x_{2}x_{3})} x 1 3 + x 2 3 + x 3 3 = ( x 1 + x 2 + x 3 ) 3 − 3 ( x 1 + x 2 + x 3 ) ( x 1 x 2 + x 1 x 3 + x 2 x 3 ) + 3 ( x 1 x 2 x 3 ) {\displaystyle x_{1}^{3}+x_{2}^{3}+x_{3}^{3}=(x_{1}+x_{2}+x_{3})^{3}-3(x_{1}+x_{2}+x_{3})(x_{1}x_{2}+x_{1}x_{3}+x_{2}x_{3})+3(x_{1}x_{2}x_{3})} a n − m = ∑ r i = 0 ⌊ m i ⌋ ∏ i = 1 m ( − s i ) r i i r i r i ! {\displaystyle a_{n-m}=\sum _{r_{i}=0}^{\lfloor {\frac {m}{i))\rfloor }\prod _{i=1}^{m}{\frac {(-s_{i})^{r_{i))}{i^{r_{i))r_{i}!))} 取 m = n = 3 {\displaystyle m=n=3} − x 1 x 2 x 3 = 1 1 3 3 ! ( − x 1 − x 2 − x 3 ) 3 + 1 1 1 1 ! 2 1 1 ! ( − x 1 − x 2 − x 3 ) ( − x 1 2 − x 2 2 − x 3 2 ) + 1 3 1 1 ! ( − x 1 3 − x 2 3 − x 3 3 ) {\displaystyle \displaystyle -x_{1}x_{2}x_{3}={\frac {1}{1^{3}3!))(-x_{1}-x_{2}-x_{3})^{3}+{\frac {1}{1^{1}1!2^{1}1!))(-x_{1}-x_{2}-x_{3})(-x_{1}^{2}-x_{2}^{2}-x_{3}^{2})+{\frac {1}{3^{1}1!))(-x_{1}^{3}-x_{2}^{3}-x_{3}^{3})} x 1 x 2 x 3 = 1 6 ( x 1 + x 2 + x 3 ) 3 − 1 2 ( x 1 + x 2 + x 3 ) ( x 1 2 + x 2 2 + x 3 2 ) + 1 3 ( x 1 3 + x 2 3 + x 3 3 ) {\displaystyle \displaystyle x_{1}x_{2}x_{3}={\frac {1}{6))(x_{1}+x_{2}+x_{3})^{3}-{\frac {1}{2))(x_{1}+x_{2}+x_{3})(x_{1}^{2}+x_{2}^{2}+x_{3}^{2})+{\frac {1}{3))(x_{1}^{3}+x_{2}^{3}+x_{3}^{3})} 参见 有形数 斯特灵数 隙积术 欧拉-麦克劳林求和公式 参考资料 ^ 1.0 1.1 1.2 1.3 1.4 1.5 李政丰. 連續整數冪次和公式的另類思考 (PDF). 《数学传播》 (台北市: 中央研究院数学研究所). 2002-06, 26 (2): 页73–74,76 [2021-12-16]. (原始内容 (PDF)存档于2021-12-16) (中文(台湾)). ^ 谈祥柏. 伯努利数. 科学. 1999, (4) [2014-04-18]. (原始内容存档于2019-06-10). ^ 罗见今. 《垛积比类》内容分析. 内蒙古师范大学学报(自然科学汉文版). 1982, (1) [2015-03-29]. (原始内容存档于2019-06-08). ^ 金晶 杨婷娜 朱伟义. 等差数列前n项等幂和计算公式及算法实现. 渭南师范学院学报. 2012, (2) [2015-09-20]. (原始内容存档于2019-06-09). ^ 陶家元. 高阶等差数列的前n项求和. 成都大学学报(自然科学版). 1999, (1) [2016-05-18]. (原始内容存档于2020-01-15). ^ 黄婷 车茂林 彭杰 张莉. 自然数幂和通项公式证明的新方法. 内江师范学院学报. 2011, (8) [2014-03-30]. (原始内容存档于2020-02-12). ^ 黄嘉威. 方幂和及其推广和式. 数学学习与研究. 2016, (7) [2016-05-17]. (原始内容存档于2020-01-15). ^ 田达武. 朱世杰恒等式及其应用. 数学教学通讯. 2009, (36) [2014-05-24]. (原始内容存档于2020-01-15). ^ 沈南山. 牛顿(Newton)公式的一个注记及其应用. 数学通报. 2005, (3) [2014-03-20]. (原始内容存档于2019-06-08). 查论编基本乘法公式及恒等式 (因式分解)分配律 ( a + b ) ( c + d ) = a c + a d + b c + b d {\displaystyle (a+b)(c+d)=ac+ad+bc+bd\,\!} 二项式定理和与差的平方 ( a ± b ) 2 = a 2 ± 2 a b + b 2 {\displaystyle (a\pm b)^{2}=a^{2}\pm 2ab+b^{2)) 和与差的立方 ( a ± b ) 3 = a 3 ± 3 a 2 b + 3 a b 2 ± b 3 {\displaystyle (a\pm b)^{3}=a^{3}\pm 3a^{2}b+3ab^{2}\pm b^{3)) 多项式定理三数和平方 ( a + b + c ) 2 = a 2 + b 2 + c 2 + 2 a b + 2 b c + 2 c a {\displaystyle (a+b+c)^{2}=a^{2}+b^{2}+c^{2}+2ab+2bc+2ca\,\!} 等幂和差平方和 a 2 + b 2 = ( a + b i ) ( a − b i ) {\displaystyle a^{2}+b^{2}=(a+bi)(a-bi)} 平方差 a 2 − b 2 = ( a + b ) ( a − b ) {\displaystyle a^{2}-b^{2}=\left(a+b\right)\left(a-b\right)} 立方和和立方差 a 3 ± b 3 = ( a ± b ) ( a 2 ∓ a b + b 2 ) {\displaystyle a^{3}\pm b^{3}=(a\pm b)(a^{2}\mp ab+b^{2})\,\!} 等幂和差逆定理 a 4 + a 2 b 2 + b 4 = ( a 2 + a b + b 2 ) ( a 2 − a b + b 2 ) {\displaystyle a^{4}+a^{2}b^{2}+b^{4}=(a^{2}+ab+b^{2})(a^{2}-ab+b^{2})\,\!} 对称多项式 a 3 + b 3 + c 3 = ( a + b + c ) 3 + 3 ( a + b + c ) ( − a b − b c − c a ) + 3 a b c {\displaystyle a^{3}+b^{3}+c^{3}=(a+b+c)^{3}+3(a+b+c)(-ab-bc-ca)+3abc\,\!} 分类 分类:数学公式有限差分 {{bottomLinkPreText}} {{bottomLinkText}} This page is based on a Wikipedia article written by contributors (read/edit). 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