AiryAiPrime[z]
给出 Airy 函数的导数
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AiryAiPrime
AiryAiPrime[z]
给出 Airy 函数的导数
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更多信息
- 数学函数,适用于符号和数值操作.
- AiryAiPrime 自动计算某些特殊自变量的精确值.
- AiryAiPrime 可用于求解任意数值精度的值.
- AiryAiPrime 自动线性作用于列表.
- AiryAiPrime 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 (5)
AiryAiPrime[0.5]Plot[AiryAiPrime[x], {x, -10, 10}]ComplexPlot3D[AiryAiPrime[z], {z, -8 - I, 5 + I}, PlotLegends -> Automatic]Series[AiryAiPrime[x], {x, 0, 4}]在 Infinity 的级数展开:
Series[AiryAiPrime[x], {x, ∞, 2}]范围 (40)
数值计算 (5)
N[AiryAiPrime[5 / 2], 50]AiryAiPrime[2.50000000000000000000000]AiryAiPrime[2.5 + I]在高精度条件下高效计算 AiryAiPrime:
AiryAiPrime[0.5`500]//TimingAiryAiPrime[0.5`2000];//Timing用 Interval 和 CenteredInterval 对象计算最坏情况下的区间:
AiryAiPrime[Interval[{1.9, 2}]]AiryAiPrime[CenteredInterval[2, 0.1]]或用 Around 计算一般情况下的统计区间:
AiryBiPrime[ Around[2, 0.01]]AiryBiPrime[{{-1.2, 0}, {0, 1.}}]或用 MatrixFunction 计算矩阵形式的 AiryBiPrime 函数:
MatrixFunction[AiryBiPrime, {{-1.2, 0}, {0, 1.}}]特殊值 (3)
AiryAiPrime[0]Limit[AiryAiPrime[x], x -> Infinity]用 Solve 求 AiryAiPrime 的零点:
xzero = N@Solve[AiryAiPrime[x] == 0 && -4 < x < -2, x][[1, 1, 2]]//QuietPlot[AiryAiPrime[x], {x, -5, 3}, Epilog -> Style[Point[{xzero, AiryAiPrime[xzero]}], PointSize[Large], Red]]可视化 (3)
绘制 AiryAiPrime 函数:
Plot[AiryAiPrime[x], {x, -7, 3}]ComplexContourPlot[Re[AiryAiPrime[z]], {z, -4 - 4I, 4 + 4I}, Contours -> 20]ComplexContourPlot[Im[AiryAiPrime[z]], {z, -4 - 4I, 4 + 4I}, Contours -> 20]复平面上标绘 AiryAiPrime 的绝对值:
Plot3D[Abs[AiryAiPrime[x + I y]], {x, -8, 5}, {y, -1, 1}, ClippingStyle -> None]函数属性 (9)
AiryAiPrime 是针对所有实数和复数定义的:
FunctionDomain[AiryAiPrime[x], x]FunctionDomain[AiryAiPrime[z], z, Complexes]AiryAiPrime 函数的范围:
FunctionRange[AiryAiPrime[x], x, y]AiryAiPrime 是 x 的解析函数:
FunctionAnalytic[AiryAiPrime[x], x]AiryAiPrime 既不是非递增,也不是非递减:
FunctionMonotonicity[AiryAiPrime[x], x]AiryAiPrime 不是单射函数:
FunctionInjective[AiryAiPrime[x], x]Plot[{AiryAiPrime[x], .3}, {x, -10, 5}]AiryAiPrime 是满射函数:
FunctionSurjective[AiryAiPrime[x], x]Plot[{AiryAiPrime[x], -1.5}, {x, -50, 5}]AiryAiPrime 既不是非负,也不是非正:
FunctionSign[AiryAiPrime[x], x]AiryAiPrime 没有奇点或断点:
FunctionSingularities[AiryAiPrime[x], x]FunctionDiscontinuities[AiryAiPrime[x], x]AiryAiPrime 既不凸,也不凹:
FunctionConvexity[AiryAiPrime[x], x]微分 (3)
D[AiryAiPrime[x], x]Table[D[AiryAiPrime[x], {x, n}], {n, 1, 4}]Plot[Evaluate[%], {x, -1, 1}, PlotLegends -> {"First Derivative", "Second Derivative", "Third Derivative", "Fourth Derivative"}]D[AiryAiPrime[x], {x, n}]积分 (3)
AiryAiPrime 的积分返回 AiryAi:
Integrate[AiryAiPrime[x], x]AiryAiPrime 的定积分:
Integrate[AiryAiPrime[x], {x, 0, Infinity}]Integrate[x ^ a AiryAiPrime[x] ^ 2, x]Integrate[AiryAi[a x]AiryAiPrime[a x], x]级数展开式 (4)
AiryAiPrime 的泰勒展开式:
Series[AiryAiPrime[x], {x, 0, 7}]绘制 AiryAiPrime 在
处的前三个近似式:
terms = Normal@{Series[AiryAiPrime[x], {x, 0, 2}], Series[AiryAiPrime[x], {x, 0, 3}], Series[AiryAiPrime[x], {x, 0, 5}]};
Plot[{AiryAiPrime[x], terms}, {x, -2, 2}]AiryAiPrime 级数展开式的通项:
SeriesCoefficient[AiryAiPrime[x], {x, 0, n}]Series[AiryAiPrime[x], {x, Infinity, 3}]Series[AiryAiPrime[x], {x, -Infinity, 1}]AiryAiPrime 可应用于幂级数:
AiryAiPrime[Log[1 + x] + O[x] ^ 4]积分变换 (3)
用 FourierTransform 计算傅立叶变换:
FourierTransform[AiryAiPrime[t], t, ω]MellinTransform[AiryAiPrime[x], x, s]HankelTransform[AiryAiPrime[r], r, s ]函数恒等式和化简 (3)
AiryAiPrime[z] + E^(2 I π/3) AiryAiPrime[E^-(2 I π/3) z] + E^-(2 I π/3) AiryAiPrime[E^(2 I π/3) z]//FullSimplify把表达式化简为 AiryAiPrime:
(z^2 Hypergeometric0F1[(5/3), (z^3/9)]/2 3^2 / 3 Gamma[(2/3)]) - ( Hypergeometric0F1[(1/3), (z^3/9)]/3^1 / 3 Gamma[(1/3)])//FullSimplifyFunctionExpand 试图简化 AiryAiPrime 的参数:
FunctionExpand [AiryAiPrime[z Exp[2Pi I / 3]]]//SimplifyFunctionExpand[AiryAiPrime[(z^3)^1 / 3]]函数表示 (4)
AiryAiPrime[z] == (1/3) (z^2 (z^3 / 2)^-(2/3) BesselI[(2/3), (2 z^3 / 2/3)] - (z^3 / 2)^2 / 3 BesselI[-(2/3), (2 z^3 / 2/3)])//FullSimplifyAiryAiPrime 可用 DifferentialRoot 来表示:
DifferentialRootReduce[AiryAiPrime[x], x]AiryAiPrime 也可用 MeijerG 来表示:
MeijerGReduce[AiryAiPrime[x], x]Activate[%]//FullSimplifyTraditionalForm 格式输出:
AiryAiPrime[z]//TraditionalForm应用 (4)
以 AiryAiPrime 的形式解微分方程:
DSolve[-9 z ^ 2 w[z] + 9 z ^ 5 w[z] - 15 w'[z] + 20 z ^ 3 w'[z] + 15 z w''[z] - 10 z ^ 4 w''[z] - 6 z ^ 2 w'''[z] + z ^ 3 w''''[z] == 0, w[z], z]DSolve[{-ψ''[z] + Piecewise[{{z, z > 0}, {-z, z < 0}}] ψ[z] == ε ψ[z],
ψ[0] == 1, ψ'[0] == 0}, ψ[z], z]由 AiryAiPrime 零点确定可规范化状态:
b[n_] := x /. FindRoot[AiryAiPrime[x], {x, -(3Pi / 8(Max[0, 4n - 1])) ^ (2 / 3), -(3Pi / 8(4n + 3)) ^ (2 / 3)}]ψ[n_, x_] := 1 / Sqrt[-b[n]] / AiryAi[b[n]]AiryAi[Sqrt[x ^ 2] + b[n]]Plot[Evaluate[Prepend[Table[-b[n] + ψ[n, x], {n, 0, 12}], Abs[x]]], {x, -16, 16}, Frame -> True, Axes -> False]ContourPlot[(AiryAi[x] AiryAiPrime[y] - AiryAiPrime[x] AiryAi[y]) / (x - y), {x, -5, 2}, {y, -5.5, 2}, Exclusions -> None]卷积积分对任意函数
求解修正线性 Korteweg–deVries方程:
u[x_, t_] := (3 t) ^ (-2 / 3) Integrate[AiryAiPrime[(x - y) (3 t) ^ (-1 / 3)] f[y], {y, -Infinity, Infinity}]D[u[x, t], t, x] + D[u[x, t], x, x, x, x] //.
α_. Integrate[a_, i_] + β_. Integrate[b_, i_] :> Integrate[α a + β b, i]属性和关系 (5)
利用 FullSimplify 化简 Airy 函数,这里在 Airy 方程的 Wronskian 中:
Det[Outer[D[#1, {x, #2}]&, {AiryAi[x], AiryBi[x]}, {0, 1}]]FullSimplify[%]与 Wronskian 的输出进行比较:
Wronskian[{AiryAi[x], AiryBi[x]}, x]FunctionExpand 力求化简 AiryAiPrime 的自变量:
FunctionExpand [AiryAiPrime[z Exp[2Pi I / 3]]]//Simplify由 DSolve 的解生成 Airy 函数:
DSolve[z w''[z] - w'[z] - z ^ 2w[z] == 0, w[z], z]由各项和得到 AiryAiPrime:
-(1 /3^1 / 3 Gamma[(1/3)])Underoverscript[∑, k = 0, ∞](1/Pochhammer[(1/3), k] k!)((z^3/9))^k + (z^2 /2 3^2 / 3 Gamma[(2/3)])Underoverscript[∑, k = 0, ∞](1/Pochhammer[(5/3), k] k!)((z^3/9))^k//FullSimplifyAiryAiPrime 出现在一些数学函数特例中:
{ (z^2 Hypergeometric0F1[(5/3), (z^3/9)]/2 3^2 / 3 Gamma[(2/3)]) - ( Hypergeometric0F1[(1/3), (z^3/9)]/3^1 / 3 Gamma[(1/3)]), MeijerG[{{}, {}}, {{0, (2/3)}, {}}, 3^-2 / 3 z, (1/3)]}//FullSimplify可能存在的问题 (3)
AiryAiPrime[-10. ^ 12 ]N[AiryAiPrime[-10 ^ 12 ], 10]需要对 $MaxExtraPrecision 设置较大的值:
N[AiryAiPrime[-10 ^ 100], 20]
Block[{$MaxExtraPrecision = 200}, N[AiryAiPrime[-10 ^ 100], 20]]AiryAiPrime[150.I]MachineNumberQ[%]巧妙范例 (1)
AiryAiPrime 平方的嵌套积分:
NestList[Integrate[#, z]&, AiryAiPrime[z] ^ 2, 4]//Simplify//TraditionalForm技术笔记
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- 特殊函数
相关指南
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- 量子力学应用的函数 ▪
- 特殊函数
历史
1991年引入 (2.0) | 在以下年份被更新:2021 (13.0) ▪ 2022 (13.1)
文本
Wolfram Research (1991),AiryAiPrime,Wolfram 语言函数,https://reference.wolfram.com/language/ref/AiryAiPrime.html (更新于 2022 年).
CMS
Wolfram 语言. 1991. "AiryAiPrime." Wolfram 语言与系统参考资料中心. Wolfram Research. 最新版本 2022. https://reference.wolfram.com/language/ref/AiryAiPrime.html.
APA
Wolfram 语言. (1991). AiryAiPrime. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/AiryAiPrime.html 年
BibTeX
@misc{reference.wolfram_2026_airyaiprime, author="Wolfram Research", title="{AiryAiPrime}", year="2022", howpublished="\url{https://reference.wolfram.com/language/ref/AiryAiPrime.html}", note=[Accessed: 17-August-2026]}
BibLaTeX
@online{reference.wolfram_2026_airyaiprime, organization={Wolfram Research}, title={AiryAiPrime}, year={2022}, url={https://reference.wolfram.com/language/ref/AiryAiPrime.html}, note=[Accessed: 17-August-2026]}