多元复合函数求导法则
回顾
一元复合函数:
其求导有链式法则:
画出函数关系图:,可见从到x$$有一条路径,所以结果是1项的和,每一段路径(对应一个导数)乘起来。
全导数
一元函数与多元函数复合的情形
如果函数及都在点可导,函数在对应 点具有连续偏导数,那么复合函数在点可导,且有
\begin{align}\frac{\mathrm{d} z}{\mathrm{~d} t}=\frac{\partial z}{\partial u}\cdot\frac{\mathrm{d} u}{\mathrm{~d} t}+\frac{\partial z}{\partial v} \cdot\frac{\mathrm{d} v}{\mathrm{~d} t}\end{align}
注意:的表示偏导数,表示一元函数的导数
多元函数与多元函数复合的情形
如果函数及都在点具有对及对的偏导数,函数在对应点具有连续偏导数,那么复合函数在点的两个偏导数都存在,且有
\begin{align} \frac{\partial z}{\partial x}=\frac{\partial z}{\partial u} \frac{\partial u}{\partial x}+\frac{\partial z}{\partial v} \frac{\partial v}{\partial x} \\ \frac{\partial z}{\partial y}=\frac{\partial z}{\partial u} \frac{\partial u}{\partial y}+\frac{\partial z}{\partial v} \frac{\partial v}{\partial y} \end{align}
混合情形
如果函数在点具有对及对的偏导数,函数在点可导,函数在对应点具有连续偏导数,那么复合函数在点的两个偏导数都存在,且有
\begin{align} &\frac{\partial z}{\partial x}=\frac{\partial z}{\partial u} \frac{\partial u}{\partial x} \\& \frac{\partial z}{\partial y}=\frac{\partial z}{\partial u} \frac{\partial u}{\partial y}+\frac{\partial z}{\partial v} \frac{\mathrm{d} v}{\mathrm{~d} y} \end{align}
例题
设。求
设,而。求和
\begin{align} \frac{\partial z}{\partial x} & =\frac{\partial z}{\partial u} \frac{\partial u}{\partial x}+\frac{\partial z}{\partial v} \frac{\partial v}{\partial x}=\mathrm{e}^{u} \sin v \cdot y+\mathrm{e}^{u} \cos v \cdot 1 \\ & =\mathrm{e}^{x y}[y \sin (x+y)+\cos (x+y)] \\ \frac{\partial z}{\partial y} & =\frac{\partial z}{\partial u} \frac{\partial u}{\partial y}+\frac{\partial z}{\partial v} \frac{\partial v}{\partial y}=\mathrm{e}^{u} \sin v \cdot x+\mathrm{e}^{u} \cos v \cdot 1 \\ & =\mathrm{e}^{\mathrm{x} y}[x \sin (x+y)+\cos (x+y)] \end{align}
设,而。求和
\begin{align} \frac{\partial u}{\partial x} & =\frac{\partial f}{\partial x}+\frac{\partial f}{\partial z} \frac{\partial z}{\partial x}=2 x \mathrm{e}^{x^{2}+y^{2}+z^{2}}+2 z \mathrm{e}^{x^{2}+y^{2}+z^{2}} \cdot 2 x \sin y \\ & =2 x\left(1+2 x^{2} \sin ^{2} y\right) \mathrm{e}^{x^{2}+y^{2}+x^{4} \sin ^{2} y} \\ \frac{\partial u}{\partial y} & =\frac{\partial f}{\partial y}+\frac{\partial f}{\partial z} \frac{\partial z}{\partial y}=2 y \mathrm{e}^{x^{2}+y^{2}+z^{2}}+2 z \mathrm{e}^{x^{2}+y^{2}+z^{2}} \cdot x^{2} \cos y \\ & =2\left(y+x^{4} \sin y \cos y\right) \mathrm{e}^{x^{2}+y^{2}+x^{4} \sin ^{2} y} \end{align}
设,而。求全导数
\begin{align} \frac{\mathrm{d} z}{\mathrm{~d} t} & =\frac{\partial f}{\partial u} \frac{\mathrm{d} u}{\mathrm{~d} t}+\frac{\partial f}{\partial v} \frac{\mathrm{d} v}{\mathrm{~d} t}+\frac{\partial f}{\partial t}=v \mathrm{e}^{t}-u \sin t+\cos t \\ & =\mathrm{e}^{t} \cos t-\mathrm{e}^{t} \sin t+\cos t=\mathrm{e}^{t}(\cos t-\sin t)+\cos t \end{align}
抽象复合函数求偏导
为了写法和计算上的方便,引入记导:
\begin{align} f(u, v):\left\{\begin{array}{l} f_{u}^{\prime} \rightarrow f_{1}^{\prime}, f_{v}^{\prime} \rightarrow f_{2}^{\prime} \\ f_{u u}^{\prime \prime} \rightarrow f_{11}^{\prime \prime}, f_{u v}^{\prime \prime} \rightarrow f_{12}^{\prime \prime}, \cdots\end{array}\right. \end{align}
\begin{align}f(u, v, w):\left\{\begin{array}{l} f_{u}^{\prime} \rightarrow f_{1}^{\prime \prime}, f_{v}^{\prime} \rightarrow f_{2}^{\prime}, f_{w}^{\prime} \rightarrow f_{3}^{\prime} \\ f_{u v}^{\prime \prime} \rightarrow f_{12}^{\prime \prime}, f_{v w}^{\prime \prime} \rightarrow f_{23}^{\prime \prime}, \cdots \end{array}\right. \end{align}
全微分形式不变性
全微分形式不变性设函数具有连续偏导数,则有全微分
\begin{align}\mathrm{d} z=\frac{\partial z}{\partial u} \mathrm{~d} u+\frac{\partial z}{\partial v} \mathrm{~d} v\end{align}
如果和又是中间变量,即,且这两个函数也具有连续偏导数,那么复合函数
\begin{align}z=f[\varphi(x, y), \psi(x, y)]\end{align}
的全微分为
\begin{align}\mathrm{d} z=\frac{\partial z}{\partial x} \mathrm{~d} x+\frac{\partial z}{\partial y} \mathrm{~d} y\end{align}
由此可见,无论和是自变量还是中间变量,还是的全微分形式是一样的。这个性质叫做全微分形式不变性
例题
利用全微分形式不变性解本节的例题2。设,而。求和
因为
代人后归并含及的项,得
即
\begin{align} &\frac{\partial z}{\partial x} \mathrm{~d} x+\frac{\partial z}{\partial y} \mathrm{~d} y \\ &= \mathrm{e}^{x y}[y \sin (x+y)+\cos (x+y)] \mathrm{d} x+\mathrm{e}^{x y}[x \sin (x+y)+\cos (x+y)] \mathrm{d} y \end{align}
比较上式两边的和的系数,就同时得到两个偏导数和,它们与上面的结果一样