当前位置:网站首页>[advanced mathematics] from normal vector to surface integral of the second kind
[advanced mathematics] from normal vector to surface integral of the second kind
2022-06-27 14:07:00 【Sound of the wind】
From normal vector to surface integral of the second kind
One 、 introduction
When I see the formula of the second kind of curve integral , I'm confused about the sign , The textbook gives a conclusion : When the included angle between the normal and the corresponding coordinate axis is an acute angle, it is taken as “+”, Otherwise, take the minus sign . However , Not knowing the root cause of its sign will make you uneasy , So I explored a little .
Facet projection method :
∬ S F ( x , y , z ) ⋅ d S = ∬ D y z ± P [ x ( y , z ) , y , z ] d y d z + ∬ D x z ± Q [ x , y ( x , z ) , z ] d x d z + ∬ D x y ± R [ x , y , z ( x , y ) ] d x d y \begin{aligned} \iint_S \mathbf F(x,y,z) \cdot d \mathbf S &= \iint_{D_{yz}} \pm P[x(y,z),y,z]dydz + \iint_{D_{xz}} \pm Q[x,y(x,z),z]dxdz + \iint_{D_{xy}} \pm R[x,y,z(x,y)]dxdy \end{aligned} ∬SF(x,y,z)⋅dS=∬Dyz±P[x(y,z),y,z]dydz+∬Dxz±Q[x,y(x,z),z]dxdz+∬Dxy±R[x,y,z(x,y)]dxdy
Oneness projection method :
∬ S F ( x , y , z ) ⋅ d S = ∬ S F ( x , y , z ) ⋅ n 0 ( x , y , z ) d S = ± ∬ D x y F ( x , y , z ) ⋅ ( − ∂ z ∂ x , − ∂ z ∂ y , 1 ) d x d y \begin{aligned} \iint_S \mathbf F(x,y,z) \cdot d \mathbf S &= \iint_{S} \mathbf F(x,y,z) \cdot \mathbf {n_0}(x,y,z) dS \\ &= \pm \iint_{D_{xy}} \mathbf F(x,y,z) \cdot (-\frac{\partial z}{\partial x} ,-\frac{\partial z}{\partial y} ,1)dxdy \end{aligned} ∬SF(x,y,z)⋅dS=∬SF(x,y,z)⋅n0(x,y,z)dS=±∬DxyF(x,y,z)⋅(−∂x∂z,−∂y∂z,1)dxdy
Two 、 Normal and tangent plane
1. The representation of a plane
First , Need to know , The explicit and implicit representation of a plane :
Implicit : F ( x , y , z ) = 0 F(x,y,z)=0 F(x,y,z)=0;
Explicit : z = z ( x , y ) z = z(x,y) z=z(x,y).
actually , Explicit representation is a geometric parameterization , The inverse process is implicit , Can be expressed as : F ( x , y , z ) = z − z ( x , y ) = z ( x , y ) − z = 0 \color{fuchsia}{F(x,y,z) = z-z(x,y) = z(x,y)-z=0} F(x,y,z)=z−z(x,y)=z(x,y)−z=0
2. The normal vector
Now find any point on the plane M ( x 0 , y 0 , z 0 ) M(x_0,y_0,z_0) M(x0,y0,z0)
that , The normal vector at this point can be
Expressed as a gradient : ∇ F ( x , y , z ) \nabla \mathbf F(x,y,z) ∇F(x,y,z);
Or the outer product of the partial derivative is expressed as : ∂ X ∂ x × ∂ X ∂ y \frac{\partial \mathbf X}{\partial x} \times \frac{\partial \mathbf X}{\partial y} ∂x∂X×∂y∂X perhaps ∂ X ∂ y × ∂ X ∂ x \frac{\partial \mathbf X}{\partial y} \times \frac{\partial \mathbf X}{\partial x} ∂y∂X×∂x∂X, there X Is the surface coordinates , For example, in three-dimensional space , Use z(x,y) Parameterize , So the surface coordinates are **(x,y,z(x,y))**.
For the normal vector of the plane represented by the display , Can be expressed as : n ( x , y ) = ( − ∂ z ∂ x , − ∂ z ∂ y , 1 ) \color{fuchsia}{\mathbf n(x,y) = (-\frac{\partial z}{\partial x} ,-\frac{\partial z}{\partial y} ,1) } n(x,y)=(−∂x∂z,−∂y∂z,1) perhaps n ( x , y ) = ( ∂ z ∂ x , ∂ z ∂ y , − 1 ) \color{fuchsia}{\mathbf n(x,y) = (\frac{\partial z}{\partial x} ,\frac{\partial z}{\partial y} ,-1) } n(x,y)=(∂x∂z,∂y∂z,−1), At this point, the value of the normal vector is only the sum of x、y of
I have deliberately written the normal vector in two forms , This is because for a directed surface there are two sides . Now the two most critical sentences are :
1. If the z(x,y) Parameterize , Its normal vector n ( x , y ) = ( − ∂ z ∂ x , − ∂ z ∂ y , 1 ) \mathbf n(x,y) = (-\frac{\partial z}{\partial x} ,-\frac{\partial z}{\partial y} ,1) n(x,y)=(−∂x∂z,−∂y∂z,1) It must be pointing to God , n ( x , y ) = ( ∂ z ∂ x , ∂ z ∂ y , − 1 ) \mathbf n(x,y) = (\frac{\partial z}{\partial x} ,\frac{\partial z}{\partial y} ,-1) n(x,y)=(∂x∂z,∂y∂z,−1) It must point to The earth ;
1. If the z(x,y) Parameterize , Make sure that the function z = z ( x , y ) z = z(x,y) z=z(x,y) Is a single valued function .
Now, if we look at a surface , It's a right hemisphere , So using **y(x,z)** Parameterize , It is more convenient , At this point, the surface coordinates are only related to x、z of . Then its normal vector n ( x , z ) = ( − ∂ y ∂ x , 1 , − ∂ y ∂ z ) \mathbf n(x,z) = (-\frac{\partial y}{\partial x},1,-\frac{\partial y}{\partial z}) n(x,z)=(−∂x∂y,1,−∂z∂y) It must be pointing to In the east , n ( x , z ) = ( ∂ y ∂ x , − 1 , ∂ y ∂ z ) \mathbf n(x,z) = (\frac{\partial y}{\partial x},-1,\frac{\partial y}{\partial z}) n(x,z)=(∂x∂y,−1,∂z∂y) It must point to In the west .
Now, if we look at a surface , It's a front hemisphere , So using **x(y,z)** Parameterize , It is more convenient , At this point, the surface coordinates are only related to y、z of . Then its normal vector n ( y , z ) = ( 1 , − ∂ x ∂ y , − ∂ x ∂ z ) \mathbf n(y,z) = (1,-\frac{\partial x}{\partial y},-\frac{\partial x}{\partial z}) n(y,z)=(1,−∂y∂x,−∂z∂x) It must be pointing to south , n ( y , z ) = ( − 1 , ∂ x ∂ y , ∂ x ∂ z ) \mathbf n(y,z) = (-1,\frac{\partial x}{\partial y},\frac{\partial x}{\partial z}) n(y,z)=(−1,∂y∂x,∂z∂x) It must point to north .
3、 ... and 、 The second kind of surface integral
∬ S F ( x , y , z ) ⋅ d S = ∬ S F ( x , y , z ) ⋅ n 0 ( x , y , z ) d S = ∬ S { P ( x , y , z ) n 0 ( x , y , z ) ⋅ [ 1 , 0 , 0 ] + Q ( x , y , z ) n 0 ( x , y , z ) ⋅ [ 0 , 1 , 0 ] + R ( x , y , z ) n 0 ( x , y , z ) ⋅ [ 0 , 0 , 1 ] } d S = ∬ S [ P ( x , y , z ) cos α + Q ( x , y , z ) cos β + P ( x , y , z ) cos γ ] d S \begin{aligned} \iint_S \mathbf F(x,y,z) \cdot d \mathbf S &= \iint_S \mathbf F(x,y,z) \cdot \mathbf {n_0}(x,y,z) dS \\ &= \iint_S \{ P(x,y,z) \mathbf {n_0}(x,y,z) \cdot [1,0,0]+ Q(x,y,z) \mathbf {n_0}(x,y,z) \cdot [0,1,0] + R(x,y,z) \mathbf {n_0}(x,y,z) \cdot [0,0,1] \} dS\\ &= \iint_S [P(x,y,z)\cos \alpha + Q(x,y,z)\cos \beta + P(x,y,z)\cos \gamma ]dS \end{aligned} ∬SF(x,y,z)⋅dS=∬SF(x,y,z)⋅n0(x,y,z)dS=∬S{ P(x,y,z)n0(x,y,z)⋅[1,0,0]+Q(x,y,z)n0(x,y,z)⋅[0,1,0]+R(x,y,z)n0(x,y,z)⋅[0,0,1]}dS=∬S[P(x,y,z)cosα+Q(x,y,z)cosβ+P(x,y,z)cosγ]dS
The area element of a directed surface has a direction , Its orientation is determined by the side of the surface you select , For example, if a surface is selected Front side Then its normal vector must point to south , The normal vector at this point will be n ( y , z ) = ( 1 , − ∂ x ∂ y , − ∂ x ∂ z ) \mathbf n(y,z) = (1,-\frac{\partial x}{\partial y},-\frac{\partial x}{\partial z}) n(y,z)=(1,−∂y∂x,−∂z∂x).
By the way Oneness projection method and Facet projection method :
- Oneness projection method : Is the first step of the above equation , The result is projected onto a plane , Such as choice **z=z(x,y)** The parameterization of , Then the result will be projected to xOy In the plane .
- Facet projection method : Is the second step of the above equation , The three normal vectors can be parameterized in different ways , For example, for x In the axial direction P(x,y,z), Just use x=x(y,z), Then project to yOz Plane ; about z In the direction of the axis R(x,y,z), Just use z=z(x,y), Then project to xOy In the plane .
here , Through vectors [1,0,0] 、[0,1,0]、 [0,0,1] In fact, the partial derivative of the normal vector is partially zeroed . We found that , Understand... From this perspective , There is no essential difference between the unified projection method and the faceted projection method .
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