前置知识: 高等数学

多元函数微分典型例题

15 minIntermediate2026/6/14

多元函数微分15道典型例题:偏导数、全微分、链式法则、方向导数、极值与条件极值等核心题型。

1. 偏导数计算

例1:设 z=exysin(x+y)z = e^{xy}\sin(x+y),求 zx\frac{\partial z}{\partial x}zy\frac{\partial z}{\partial y}

zx=yexysin(x+y)+exycos(x+y)=exy[ysin(x+y)+cos(x+y)]\frac{\partial z}{\partial x} = ye^{xy}\sin(x+y) + e^{xy}\cos(x+y) = e^{xy}[y\sin(x+y) + \cos(x+y)]

zy=xexysin(x+y)+exycos(x+y)=exy[xsin(x+y)+cos(x+y)]\frac{\partial z}{\partial y} = xe^{xy}\sin(x+y) + e^{xy}\cos(x+y) = e^{xy}[x\sin(x+y) + \cos(x+y)]


例2:设 z=f(x2y2,exy)z = f(x^2 - y^2, e^{xy}),其中 ff 具有二阶连续偏导数,求 2zx2\frac{\partial^2 z}{\partial x^2}

:设 u=x2y2u = x^2 - y^2v=exyv = e^{xy}

zx=2xfu+yexyfv\frac{\partial z}{\partial x} = 2x f_u + ye^{xy} f_v

2zx2=2fu+2x(2xfuu+yexyfuv)+yexyyfv+yexy(2xfvu+yexyfvv)\frac{\partial^2 z}{\partial x^2} = 2f_u + 2x(2xf_{uu} + ye^{xy}f_{uv}) + ye^{xy} \cdot y \cdot f_v + ye^{xy}(2xf_{vu} + ye^{xy}f_{vv})

=2fu+y2exyfv+4x2fuu+4xyexyfuv+y2e2xyfvv= 2f_u + y^2 e^{xy} f_v + 4x^2 f_{uu} + 4xye^{xy}f_{uv} + y^2 e^{2xy}f_{vv}

2. 全微分

例3:求 z=arctanyxz = \arctan\frac{y}{x} 的全微分

zx=11+y2x2(yx2)=yx2+y2\frac{\partial z}{\partial x} = \frac{1}{1+\frac{y^2}{x^2}} \cdot \left(-\frac{y}{x^2}\right) = \frac{-y}{x^2+y^2}

zy=11+y2x21x=xx2+y2\frac{\partial z}{\partial y} = \frac{1}{1+\frac{y^2}{x^2}} \cdot \frac{1}{x} = \frac{x}{x^2+y^2}

dz=ydx+xdyx2+y2dz = \frac{-y\,dx + x\,dy}{x^2+y^2}


例4:设 z=f(yx)z = f\left(\frac{y}{x}\right),验证 xzx+yzy=0x\frac{\partial z}{\partial x} + y\frac{\partial z}{\partial y} = 0

:设 u=yxu = \frac{y}{x}

zx=f(u)(yx2)=yx2f\frac{\partial z}{\partial x} = f'(u) \cdot \left(-\frac{y}{x^2}\right) = -\frac{y}{x^2}f'

zy=f(u)1x=1xf\frac{\partial z}{\partial y} = f'(u) \cdot \frac{1}{x} = \frac{1}{x}f'

xzx+yzy=yxf+yxf=0x\frac{\partial z}{\partial x} + y\frac{\partial z}{\partial y} = -\frac{y}{x}f' + \frac{y}{x}f' = 0

3. 隐函数求导

例5:设 F(x,y,z)=x2+y2+z24z=0F(x,y,z) = x^2 + y^2 + z^2 - 4z = 0,求 zx\frac{\partial z}{\partial x}2zx2\frac{\partial^2 z}{\partial x^2}

zx=FxFz=2x2z4=x2z\frac{\partial z}{\partial x} = -\frac{F_x}{F_z} = -\frac{2x}{2z-4} = \frac{x}{2-z}

2zx2=(2z)x(zx)(2z)2=(2z)+x22z(2z)2=(2z)2+x2(2z)3\frac{\partial^2 z}{\partial x^2} = \frac{(2-z) - x \cdot (-\frac{\partial z}{\partial x})}{(2-z)^2} = \frac{(2-z) + \frac{x^2}{2-z}}{(2-z)^2} = \frac{(2-z)^2 + x^2}{(2-z)^3}


例6:设 z=z(x,y)z = z(x,y) 由方程 z33xyz=1z^3 - 3xyz = 1 确定,求 dzdz

:令 F=z33xyz1=0F = z^3 - 3xyz - 1 = 0

zx=FxFz=3yz3z23xy=yzz2xy\frac{\partial z}{\partial x} = -\frac{F_x}{F_z} = -\frac{-3yz}{3z^2-3xy} = \frac{yz}{z^2-xy}

zy=FyFz=3xz3z23xy=xzz2xy\frac{\partial z}{\partial y} = -\frac{F_y}{F_z} = -\frac{-3xz}{3z^2-3xy} = \frac{xz}{z^2-xy}

dz=zz2xy(ydx+xdy)dz = \frac{z}{z^2-xy}(y\,dx + x\,dy)

4. 方向导数梯度

例7:求 f(x,y)=x2+y2f(x,y) = x^2 + y^2 在点 (1,1)(1,1) 沿方向 l=(3,4)\mathbf{l} = (3,4) 的方向导数

f=(2x,2y)\nabla f = (2x, 2y),在 (1,1)(1,1)f=(2,2)\nabla f = (2, 2)

l\mathbf{l} 的单位向量:l0=(35,45)\mathbf{l}^0 = \left(\frac{3}{5}, \frac{4}{5}\right)

fl=fl0=235+245=145\frac{\partial f}{\partial l} = \nabla f \cdot \mathbf{l}^0 = 2 \cdot \frac{3}{5} + 2 \cdot \frac{4}{5} = \frac{14}{5}


例8:求 f(x,y,z)=xyzf(x,y,z) = xyz 在点 (1,2,3)(1,2,3) 处的梯度梯度的模。

f=(yz,xz,xy)=(6,3,2)\nabla f = (yz, xz, xy) = (6, 3, 2)

f=36+9+4=7|\nabla f| = \sqrt{36+9+4} = 7

5. 无条件极值

例9:求 f(x,y)=x3+y33xyf(x,y) = x^3 + y^3 - 3xy 的极值。

fx=3x23y=0,fy=3y23x=0f_x = 3x^2 - 3y = 0, \quad f_y = 3y^2 - 3x = 0

x2=yx^2 = yy2=xy^2 = x 得驻点 (0,0)(0,0)(1,1)(1,1)

A=fxx=6xA = f_{xx} = 6xB=fxy=3B = f_{xy} = -3C=fyy=6yC = f_{yy} = 6y

(0,0)(0,0)A=0A = 0B=3B = -3C=0C = 0Δ=ACB2=9<0\Delta = AC - B^2 = -9 < 0,鞍点。

(1,1)(1,1)A=6A = 6B=3B = -3C=6C = 6Δ=369=27>0\Delta = 36 - 9 = 27 > 0A>0A > 0,极小值 f(1,1)=1f(1,1) = -1

6. 条件极值(拉格朗日乘数法)

例10:求 f(x,y)=xyf(x,y) = xy 在条件 x+y=1x + y = 1 下的极值。

:令 L=xy+λ(1xy)L = xy + \lambda(1-x-y)

Lx=yλ=0,Ly=xλ=0,Lλ=1xy=0L_x = y - \lambda = 0, \quad L_y = x - \lambda = 0, \quad L_\lambda = 1-x-y = 0

由前两式 x=yx = y,代入第三式 x=y=12x = y = \frac{1}{2}

极大值 f(12,12)=14f\left(\frac{1}{2}, \frac{1}{2}\right) = \frac{1}{4}


例11:求内接于椭球面 x2a2+y2b2+z2c2=1\frac{x^2}{a^2} + \frac{y^2}{b^2} + \frac{z^2}{c^2} = 1 的长方体的最大体积。

:设长方体在第一卦限的顶点为 (x,y,z)(x,y,z),体积 V=8xyzV = 8xyz

L=8xyz+λ(1x2a2y2b2z2c2)L = 8xyz + \lambda\left(1 - \frac{x^2}{a^2} - \frac{y^2}{b^2} - \frac{z^2}{c^2}\right)

Lx=8yz2λxa2=0λ=4a2yzxL_x = 8yz - \frac{2\lambda x}{a^2} = 0 \Rightarrow \lambda = \frac{4a^2 yz}{x}

同理 λ=4b2xzy=4c2xyz\lambda = \frac{4b^2 xz}{y} = \frac{4c^2 xy}{z}

x2a2=y2b2=z2c2\frac{x^2}{a^2} = \frac{y^2}{b^2} = \frac{z^2}{c^2},代入约束条件得 x=a3x = \frac{a}{\sqrt{3}}y=b3y = \frac{b}{\sqrt{3}}z=c3z = \frac{c}{\sqrt{3}}

Vmax=8a3b3c3=8abc33V_{\max} = 8 \cdot \frac{a}{\sqrt{3}} \cdot \frac{b}{\sqrt{3}} \cdot \frac{c}{\sqrt{3}} = \frac{8abc}{3\sqrt{3}}

7. 综合题型

例12:证明:f(x,y)=x2+y2f(x,y) = \sqrt{x^2+y^2}(0,0)(0,0) 处连续但偏导数不存在。

证明:连续性:lim(x,y)(0,0)x2+y2=0=f(0,0)\lim_{(x,y)\to(0,0)} \sqrt{x^2+y^2} = 0 = f(0,0)

偏导数fx(0,0)=limx0f(x,0)f(0,0)x=limx0xxf_x(0,0) = \lim_{x \to 0} \frac{f(x,0)-f(0,0)}{x} = \lim_{x \to 0} \frac{|x|}{x}

极限 =1= 1,左极限 =1= -1极限不存在。同理 fy(0,0)f_y(0,0) 也不存在。


例13:设 u=f(x,y,z)u = f(x,y,z) 有二阶连续偏导数,令 x=rsinφcosθx = r\sin\varphi\cos\thetay=rsinφsinθy = r\sin\varphi\sin\thetaz=rcosφz = r\cos\varphi,证明:

2ux2+2uy2+2uz2=2ur2+2rur+1r22uφ2+cosφr2sinφuφ+1r2sin2φ2uθ2\frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} + \frac{\partial^2 u}{\partial z^2} = \frac{\partial^2 u}{\partial r^2} + \frac{2}{r}\frac{\partial u}{\partial r} + \frac{1}{r^2}\frac{\partial^2 u}{\partial \varphi^2} + \frac{\cos\varphi}{r^2\sin\varphi}\frac{\partial u}{\partial \varphi} + \frac{1}{r^2\sin^2\varphi}\frac{\partial^2 u}{\partial \theta^2}

(此即拉普拉斯算子在球坐标下的表达式,证明略,通过链式法则逐项计算即可。)


例14:求函数 f(x,y)=2x2+y22xyf(x,y) = 2x^2 + y^2 - 2xy 在闭区域 D:x2+y24D: x^2 + y^2 \leq 4 上的最大值和最小值。

内部fx=4x2y=0f_x = 4x - 2y = 0fy=2y2x=0f_y = 2y - 2x = 0,得驻点 (0,0)(0,0)f(0,0)=0f(0,0) = 0

边界x=2costx = 2\cos ty=2sinty = 2\sin t

f=8cos2t+4sin2t8sintcost=4+4cos2t4sin2tf = 8\cos^2 t + 4\sin^2 t - 8\sin t\cos t = 4 + 4\cos 2t - 4\sin 2t

=4+42cos(2t+π4)= 4 + 4\sqrt{2}\cos(2t + \frac{\pi}{4})

最大值 =4+42= 4 + 4\sqrt{2},最小值 =442= 4 - 4\sqrt{2}

全局最小值 =min(0,442)=442= \min(0, 4-4\sqrt{2}) = 4 - 4\sqrt{2}

全局最大值 =4+42= 4 + 4\sqrt{2}


例15:设 f(x,y)f(x,y) 在点 (x0,y0)(x_0, y_0) 处可微,证明:ff 在该点沿任意方向的方向导数都存在。

证明:由可微定义:

f(x0+h,y0+k)f(x0,y0)=fx(x0,y0)h+fy(x0,y0)k+o(h2+k2)f(x_0+h, y_0+k) - f(x_0, y_0) = f_x(x_0,y_0)h + f_y(x_0,y_0)k + o(\sqrt{h^2+k^2})

沿方向 l=(cosα,cosβ)\mathbf{l} = (\cos\alpha, \cos\beta),取 h=tcosαh = t\cos\alphak=tcosβk = t\cos\beta

f(x0+tcosα,y0+tcosβ)f(x0,y0)t=fxcosα+fycosβ+o(t)t\frac{f(x_0+t\cos\alpha, y_0+t\cos\beta) - f(x_0,y_0)}{t} = f_x\cos\alpha + f_y\cos\beta + \frac{o(|t|)}{t}

limt0=fxcosα+fycosβ\lim_{t \to 0} = f_x\cos\alpha + f_y\cos\beta

方向导数存在且等于 fl0\nabla f \cdot \mathbf{l}^0