FactorialPower[x,n]
给出阶乘幂
.
FactorialPower[x,n,h]
给出步长为 h 的阶乘幂
.
FactorialPower
FactorialPower[x,n]
给出阶乘幂
.
FactorialPower[x,n,h]
给出步长为 h 的阶乘幂
.
更多信息
- 数学函数,适宜于符号和数值运算.
- 对于整数 n,
由
给出,
由
给出. - 对于任何 n ,
由
给出.
由
给出,而
由
给出.- 仅当 x 和 n 是数字时,FactorialPower[x,n] 才自动执行计算.
- FunctionExpand 总是将 FactorialPower 转换为一个多项式或伽玛函数的组合.
- FactorialPower 可与 Interval 和 CenteredInterval 对象一起使用. »
范例
打开所有单元 关闭所有单元基本范例 (6)
FactorialPower[10, 2]FactorialPower 没有自动展开:
FactorialPower[x, 8]用 FunctionExpand 展开:
FunctionExpand[%]Plot[FactorialPower[x, 3], {x, -3, 4}]ComplexPlot3D[FactorialPower[z ^ 2, 5], {z, -2 - 2I, 2 + 2I}, PlotLegends -> Automatic]Series[FactorialPower[x, 5], {x, 0, 5}]//FullSimplifyInfinity 处的级数展开式:
Series[FactorialPower[x, 5], {x, ∞, 6}]//FullSimplify范围 (35)
数值计算 (7)
FactorialPower[2, .9]FactorialPower[4, 2]N[FactorialPower[1 / 3, 7, 3], 50]FactorialPower[0.100000000000000000, 7, 3]FactorialPower[1 + I, I, 3.]FactorialPower[1 / 3, 7, 3`100]//TimingFactorialPower[2`1000, 1 / 5, 1 / 3];//TimingFactorialPower 按照元素作用于列表:
FactorialPower[4, {1, 2, 3, 4, 5}]用 Interval 和 CenteredInterval 对象计算最坏情况下的区间:
FactorialPower[0.3, 0.4, Interval[{0.5, 0.6}]]FactorialPower[1 / 2, 1 / 3, CenteredInterval[1 / 5, 1 / 1000]]或者用 Around 计算普通的统计区间:
FactorialPower[Around[2, 0.01], 2]FactorialPower[{{1, 2}, {3, 4}}, 2]或者用 MatrixFunction 计算矩阵形式的 FactorialPower 函数::
MatrixFunction[FactorialPower[#, .2]&, {{1, 2}, {3, 4}}]特殊值 (6)
在固定点处的 FactorialPower 的值:
Table[FactorialPower[x, 2], {x, 1, 5}]获取 n 的整数值的多项式表示 FactorialPower[x,n]:
FactorialPower[x, 4]//FunctionExpand步长
时,FactorialPower[x,n,h] 给出升阶乘:
FunctionExpand[FactorialPower[x, 5, -1]]这与 Pochhammer 等价:
Pochhammer[x, 5]对固定的 x 值展开 FactorialPower[x,n]:
FactorialPower[(3/2), n]//FunctionExpandTable[FactorialPower[(3/2), n, h], {h, 0, 3}]//FunctionExpandFactorialPower[n, 0]FullSimplify[FactorialPower[0, n], n∈PositiveIntegers]//Quiet求当 FactorialPower[x,1/7]=1.2 时 x 的值:
xval = x /. FindRoot[FactorialPower[ x , 1 / 7] == 1.2, {x, 3}]Plot[FactorialPower[x, 1 / 7], {x, 0, 10}, Epilog -> Style[Point[{xval, FactorialPower[xval, 1 / 7]}], PointSize[Large], Red]]可视化 (3)
绘制各阶 FactorialPower 函数:
Plot[{FactorialPower[x, 1], FactorialPower[x, 2], FactorialPower[x, 3], FactorialPower[x, 4]}, {x, -3, 3}]绘制作为参数
的函数的 FactorialPower:
Plot[{FactorialPower[1 / 2, n], FactorialPower[1, n], FactorialPower[3 / 2, n], FactorialPower[2, n]}, {n, -4, 4}, PlotLegends -> "Expressions"]ComplexContourPlot[Re[FactorialPower[z, 5]], {z, -1 - 2I, 1 + 2 I}, Contours -> 20]ComplexContourPlot[Im[FactorialPower[z, 5]], {z, -1 - 2I, 1 + 2 I}, Contours -> 20]函数的属性 (10)
FunctionDomain[FactorialPower[x, y], {x, y}]FunctionDomain[FactorialPower[w, z], {w, z}, Complexes]不同 n 固定值下 FactorialPower[x,n] 的函数范围:
Table[FunctionRange[FactorialPower[x, n], x, y], {n, {0, 1 / 2, 1, 2}}]FunctionAnalytic[FactorialPower[x, 3], x]FunctionMonotonicity[FactorialPower[x, 3], x]FunctionInjective[FactorialPower[x, 3], x]Plot[{FactorialPower[x, 3], .2}, {x, -1, 3}]FunctionSurjective[FactorialPower[x, 3], x]Plot[{FactorialPower[x, 3], 10}, {x, -5, 5}]FactorialPower 既不是非负,也不是非正:
FunctionSign[FactorialPower[x, 1], x]FunctionSingularities[FactorialPower[x, y], {x, y}]FunctionDiscontinuities[FactorialPower[x, y], {x, y}]FunctionConvexity[FactorialPower[x, 3], x]TraditionalForm 格式:
FactorialPower[x, n]//TraditionalFormFactorialPower[x, n, h]//TraditionalForm微分 (3)
D[FactorialPower[x, n], x]D[FactorialPower[x, n], n]Table[D[FactorialPower[x, n], {x, k}], {k, 1, 3}]//FullSimplifyPlot[Evaluate[% /. n -> 1 / 2], {x, -3, 0}, PlotLegends -> {"First Derivative", "Second Derivative", "Third Derivative"}]级数展开 (4)
用 Series 求泰勒展开式:
Series[FactorialPower[x, n], {x, 0, 2}]//Normal// FullSimplifyfuncAndSeries = Prepend[Table[Series[FactorialPower[x, 3], {x, 0, m}], {m, 1, 2}], FactorialPower[x, 3]]//Normal;
Plot[funcAndSeries, {x, -10, 10}]Series[FactorialPower[x, n], {x, x0, 2}]//Normal// FullSimplifySeries[FactorialPower[x, 4], {x, -1, 3}]FactorialPower 可以应用于幂级数中:
FactorialPower[x + O[x] ^ 5, 10]应用 (4)
由 FactorialPower[n,r] 给出一个由不同元素组成的长度为 n 的列表的长度为 r 的排列组合的数量:
Length[Permutations[Range[5], {3}]]FactorialPower[5, 3]FactorialPower[10, 3]Count[Tuples[Range[10], {3}], x_ /; DeleteDuplicates[x] === x]用牛顿前向差分公式的一个函数的近似[MathWorld]:
delta[k_, x_] = DifferenceDelta[Sin[x], {x, k}]approx[a_] = Sum[(FactorialPower[a, k]/k!)delta[k, 0], {k, 0, 10}];Plot[{Sin[a], approx[a]}, {a, -Pi / 2, Pi / 2}]Table[NorlundB[n, n], {n, 10}]Table[Integrate[FactorialPower[x - 1, n], {x, 0, 1}], {n, 10}]//FunctionExpand属性和关系 (11)
FactorialPower 是关于 Sum 的操作,就像 Power 是关于 Integrate 的操作:
Sum[FactorialPower[x, 5], x]Integrate[x ^ 5, x]FactorialPower 满足
:
DifferenceDelta[FactorialPower[x, n], x]这使得 FactorialPower 类似于 Power 及其与 D 的关系:
D[x ^ n, x]FactorialPower 总可以被表示为伽玛函数的比率:
FunctionExpand[FactorialPower[x, n]]FunctionExpand[Pochhammer[x - n + 1, n]]FactorialPower[x,n] 等价于
:
FullSimplify[FactorialPower[x, n] == n!Binomial[x, n]]FactorialPower[x,x] 等价于 x!:
FunctionExpand[FactorialPower[x, x]]FunctionExpand[x!]Pochhammer 可以用一个 FactorialPower 表达式来表示:
Pochhammer[a, n] == FactorialPower[a + n - 1, n]//FullSimplifyFullSimplify[Pochhammer[x, k] == FactorialPower[x, k, -1]//FunctionExpand, k∈ℤ]FactorialPower[x, 5, -1]//FunctionExpand验证前几种情况中用 Pochhammer 对 FactorialPower 的展开:
Table[FactorialPower[x, n] == Underoverscript[∑, k = 0, n](-1)^n - k(n!/k!)Binomial[n - 1, k - 1]Pochhammer[x, k]//FunctionExpand//Simplify, {n, 0, 9}]FactorialPower 可用 DifferenceRoot 进行表示:
DifferenceRootReduce[FactorialPower[k, z], k]DifferenceRootReduce[FactorialPower[z, k], k]FactorialPower 的母函数:
GeneratingFunction[FactorialPower[n, k], n, x]FactorialPower 的指数母函数:
ExponentialGeneratingFunction[FactorialPower[n, k], n, x]可能存在的问题 (2)
一般,作为
时 FactorialPower 的极限,Power 回升:
Series[FactorialPower[x, a, h], {h, 0, 1}]N[FactorialPower[-1 / 3, 1 + I, 10^-7], 20]N[(-1 / 3)^1 + I, 20]Series[FactorialPower[x, n], {x, 0, 2}]Quiet[% /. n -> 2]Assuming[Element[n, Integers] && n > 0, Series[FactorialPower[x, n], {x, 0, 2}]]% /. n -> 2Series[FactorialPower[x, 2], {x, 0, 2}]相关链接
文本
Wolfram Research (2008),FactorialPower,Wolfram 语言函数,https://reference.wolfram.com/language/ref/FactorialPower.html.
CMS
Wolfram 语言. 2008. "FactorialPower." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/ref/FactorialPower.html.
APA
Wolfram 语言. (2008). FactorialPower. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/FactorialPower.html 年
BibTeX
@misc{reference.wolfram_2026_factorialpower, author="Wolfram Research", title="{FactorialPower}", year="2008", howpublished="\url{https://reference.wolfram.com/language/ref/FactorialPower.html}", note=[Accessed: 07-September-2026]}
BibLaTeX
@online{reference.wolfram_2026_factorialpower, organization={Wolfram Research}, title={FactorialPower}, year={2008}, url={https://reference.wolfram.com/language/ref/FactorialPower.html}, note=[Accessed: 07-September-2026]}