第一型曲线积分
  • 参数方程表达x=x(t),y=y(t),z=z(t)x=x(t),y=y(t),z=z(t)x=x(t),y=y(t),z=z(t)

dl=x′(t)2+y′(t)2+z′(t)2dt dl=\sqrt{x'(t)^2+y'(t)^2+z'(t)^2}dt dl=x(t)2+y(t)2+z(t)2 dt

  • 特殊参数方程:

    • 极坐标

    x=r(t)cos⁡θ(t),y=r(t)sin⁡θ(t)dl=(dr)2+(rdθ)2=r′2+r2θ′2dt x=r(t)\cos \theta(t),y=r(t)\sin \theta(t)\\ dl=\sqrt{(dr)^2+(rd\theta)^2}\\ =\sqrt{r'^2+r^2\theta'^2}dt x=r(t)cosθ(t),y=r(t)sinθ(t)dl=(dr)2+(rdθ)2 =r2+r2θ2 dt

    • 柱坐标

    x=r(t)cos⁡θ(t)y=r(t)sin⁡θ(t)z=z(t)dl=(dr)2+(rdθ)2+(dz)2 x=r(t)\cos \theta(t)\\ y=r(t)\sin \theta(t)\\ z=z(t)\\ dl=\sqrt{(dr)^2+(rd\theta)^2+(dz)^2} x=r(t)cosθ(t)y=r(t)sinθ(t)z=z(t)dl=(dr)2+(rdθ)2+(dz)2

    • 球坐标

    x=r(t)sin⁡θ(t)cos⁡φ(t)y=r(t)sin⁡θ(t)sin⁡φ(t)z=r(t)cos⁡θ(t)dl=(dr)2+(rsin⁡θdφ)2+(rdθ)2 x=r(t)\sin \theta(t)\cos \varphi(t)\\ y=r(t)\sin \theta(t)\sin \varphi(t)\\ z=r(t)\cos \theta(t)\\ dl=\sqrt{(dr)^2+(r\sin \theta d\varphi)^2+(rd\theta)^2} x=r(t)sinθ(t)cosφ(t)y=r(t)sinθ(t)sinφ(t)z=r(t)cosθ(t)dl=(dr)2+(rsinθdφ)2+(rdθ)2

    • 上式的计算方法:

    (xyz)=(rsin⁡θcos⁡φrsin⁡θsin⁡φrcos⁡θ)分别对r,φ,θ求导得(sin⁡θcos⁡φsin⁡θsin⁡φcos⁡θ),(rsin⁡θ⋅(−sin⁡φ)rsin⁡θcos⁡φ0),(rcos⁡θcos⁡φrcos⁡θsin⁡φ−r sin⁡θ)将上面三个向量单位化后的向量记作er,eφ,eθ,看作dr,dφ,dθ,那么求导得到的三个向量就是er,rsin⁡θeφ,reθ,对应了三个正交的坐标方向的增量dl=(dr)2+(rsin⁡θdφ)2+(dθ)2\begin{pmatrix} x\\ y\\ z\\ \end{pmatrix} = \begin{pmatrix} r\sin \theta \cos\varphi\\ r\sin \theta \sin\varphi\\ r\cos \theta \end{pmatrix}分别对r,\varphi,\theta求导得\\ \begin{pmatrix} \sin\theta\cos \varphi\\ \sin\theta\sin \varphi\\ \cos\theta \end{pmatrix}, \begin{pmatrix} r\sin\theta\cdot (-\sin\varphi)\\ r\sin \theta\cos \varphi\\ 0 \end{pmatrix},\begin{pmatrix} r\cos \theta \cos \varphi\\ r\cos \theta \sin \varphi\\ -r\ \sin\theta \end{pmatrix}\\ 将上面三个向量单位化后的向量记作e_r,e_\varphi,e_\theta,看作dr,d\varphi,d\theta,\\ 那么求导得到的三个向量就是e_r,r\sin\theta e_\varphi,re_\theta,对应了三个正交的坐标方向的增量\\ dl=\sqrt{(dr)^2+(r\sin \theta d\varphi)^2+(d\theta)^2} xyz=rsinθcosφrsinθsinφrcosθr,φ,θsinθcosφsinθsinφcosθ,rsinθ(sinφ)rsinθcosφ0,rcosθcosφrcosθsinφr sinθer,eφ,eθdr,dφ,dθer,rsinθeφ,reθdl=(dr)2+(rsinθdφ)2+(dθ)2

第一型曲面积分
  • 参考重积分应用中已经涉及到的面积微元

  • 在参数方程(x,y,z)=f(u,v)(x,y,z)=f(u,v)(x,y,z)=f(u,v)

ru=(∂x∂u,∂y∂u,∂z∂u)rv=(∂x∂v,∂y∂v,∂z∂v)dS=det∣ru⋅ruru⋅rvrv⋅rurv⋅rv∣dudv r_u=(\frac{\partial x}{\partial u},\frac{\partial y}{\partial u},\frac{\partial z}{\partial u})\\ r_v=(\frac{\partial x}{\partial v},\frac{\partial y}{\partial v},\frac{\partial z}{\partial v})\\ dS=\sqrt{det\begin{vmatrix} r_u\cdot r_u & r_u\cdot r_v\\ r_v\cdot r_u & r_v\cdot r_v \end{vmatrix}}dudv ru=(ux,uy,uz)rv=(vx,vy,vz)dS=detrururvrururvrvrv dudv

  • du,dvdu,dvdu,dv前的系数恰好是ru,rvr_u,r_vru,rv张成的平行四边形的面积

∬Ωf(x,y,z)dS=∬Ω∗f(u,v)det∣ru⋅ruru⋅rvrv⋅rurv⋅rv∣dudv \iint _\Omega f(x,y,z)dS=\iint _{\Omega^*}f(u,v)\sqrt{det\begin{vmatrix} r_u\cdot r_u & r_u\cdot r_v\\ r_v\cdot r_u & r_v\cdot r_v \end{vmatrix}}dudv Ωf(x,y,z)dS=Ωf(u,v)detrururvrururvrvrv dudv

  • 特别的在(x,y,z)=(x,y,z(x,y))(x,y,z)=(x,y,z(x,y))(x,y,z)=(x,y,z(x,y))

dS=1+(∂z∂x)2+(∂z∂y)2dxdy dS=\sqrt{1+(\frac{\partial z}{\partial x})^2+(\frac{\partial z}{\partial y})^2}dxdy dS=1+(xz)2+(yz)2 dxdy

  • 另有在nnn维空间中的n−1n-1n1维超平面可以用n−1n-1n1个基的叉积的模长计算,泛用性不如上面
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