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Flux in three dimensional vector field
2022-06-23 23:45:00 【Fish in the deep sea (・ ω& lt;)*】
1. Space vector field
At every point in space , There are F → = P i ^ + Q j ^ + R k ^ \overrightarrow{F}=P\widehat{i}+Q\widehat{j}+R\widehat{k} F=Pi+Qj+Rk
among P P P, Q Q Q, R R R, Are all x x x, y y y, z z z Function of
2. Traffic
stay 2 Weizhong , The vector field crosses the curve C The flow of is recorded as
∫ C F → ⋅ n ^ d s \int_C{\overrightarrow{F}\cdot \widehat{n}\ ds} ∫CF⋅n ds
stay 3 Weizhong , The vector field passes through the surface S The flow of is recorded as
∬ S F → ⋅ n ^ d S \iint_S{\overrightarrow{F}\cdot \widehat{n}\ dS} ∬SF⋅n dS
For the sake of representation , remember d S → = n ^ d S d\overrightarrow{S}=\widehat{n}\ dS dS=n dS
3. take d S → d\overrightarrow{S} dS Convert to d x d y dxdy dxdy
(1) The surface display is represented as z = f ( x , y ) z=f(x,y) z=f(x,y)
As shown in the figure , Hypothetical surface z = f ( x , y ) z=f(x,y) z=f(x,y) On a small piece Δ S \Delta S ΔS stay xoy The projection on the axis is rectangular ABCD, Because the block is small enough , You can think of it as a parallelogram .
rectangular A D AD AD The length of is Δ x \Delta x Δx(x Amount of change ), A B AB AB The length of is Δ y \Delta y Δy(y Amount of change )
set up E E E The coordinates of the points are ( x , y , f ( x , y ) ) (x,y,f(x,y)) (x,y,f(x,y)), be F F F The coordinates of the points are ( x , y + Δ y , f ( x , y + Δ y ) ) (x,y+\Delta y,f(x,y+\Delta y)) (x,y+Δy,f(x,y+Δy)), among f ( x , y + Δ y ) f(x,y+\Delta y) f(x,y+Δy) Linear approximation can be used , namely f ( x , y + Δ y ) ≈ f ( x , y ) + Δ y ⋅ f y ′ f(x,y+\Delta y)\approx f(x,y)+\Delta y\cdot f_y^\prime f(x,y+Δy)≈f(x,y)+Δy⋅fy′, be F F F The coordinates of the points are ( x , y + Δ y , f ( x , y ) + Δ y ⋅ f y ′ ) (x,y+\Delta y,f(x,y)+\Delta y\cdot f_y^\prime) (x,y+Δy,f(x,y)+Δy⋅fy′), The same can be H H H The coordinates of the points are ( x + Δ x , y , f ( x , y ) + Δ x ⋅ f x ′ ) (x+\Delta x,y,f(x,y)+\Delta x\cdot f_x^\prime) (x+Δx,y,f(x,y)+Δx⋅fx′), be
E F → = ( 0 , Δ y , Δ y ⋅ f y ′ ) \overrightarrow{EF}=\left( 0,\Delta y,\Delta y\cdot f_y' \right) EF=(0,Δy,Δy⋅fy′)
E H → = ( Δ x , 0 , Δ x ⋅ f x ′ ) \overrightarrow{EH}=\left( \Delta x,0,\Delta x\cdot f_x' \right) EH=(Δx,0,Δx⋅fx′)
Δ S → = E F → × E H → = ∣ i ^ j ^ k ^ 0 Δ y Δ y ⋅ f y ′ Δ x 0 Δ x ⋅ f x ′ ∣ = ( Δ x Δ y ⋅ f x ′ , Δ x Δ y ⋅ f y ′ , − Δ x Δ y ) = ( f x ′ , f y ′ , − 1 ) Δ x Δ y \Delta \overrightarrow{S}=\overrightarrow{EF}\times \overrightarrow{EH}=\left| \begin{matrix} \widehat{i}& \widehat{j}& \widehat{k}\\ 0& \Delta y& \Delta y\cdot f_y'\\ \Delta x& 0& \Delta x\cdot f_x'\\ \end{matrix} \right|=\left( \Delta x\Delta y\cdot f_x',\Delta x\Delta y\cdot f_y',-\Delta x\Delta y \right) =\left( f_x',f_y',-1 \right) \Delta x\Delta y ΔS=EF×EH=∣∣∣∣∣∣i0ΔxjΔy0kΔy⋅fy′Δx⋅fx′∣∣∣∣∣∣=(ΔxΔy⋅fx′,ΔxΔy⋅fy′,−ΔxΔy)=(fx′,fy′,−1)ΔxΔy
( explain : ∣ E F → × E H → ∣ \left| \overrightarrow{EF}\times \overrightarrow{EH} \right| ∣∣∣EF×EH∣∣∣ It's a parallelogram EFGH The area of , E F → × E H → \overrightarrow{EF}\times \overrightarrow{EH} EF×EH The direction of is plane EFGH The direction of the normal vector of )
therefore
d S → = ± ( f x ′ , f y ′ , − 1 ) d x d y d\overrightarrow{S}=\pm \left( f_x',f_y',-1 \right) dxdy dS=±(fx′,fy′,−1)dxdy
The sign depends on which side is positive .
(2) Parametric surfaces
Let's say you can put a surface S S S use u u u, v v v Two variables represent , namely { x = x ( u , v ) y = y ( u , v ) z = z ( u , v ) \left\{ \begin{array}{l} x=x\left( u,v \right)\\ y=y\left( u,v \right)\\ z=z\left( u,v \right)\\ \end{array} \right. ⎩⎨⎧x=x(u,v)y=y(u,v)z=z(u,v) Then the position vector r → = r → ( u , v ) \overrightarrow{r}=\overrightarrow{r}\left( u,v \right) r=r(u,v).
Considerations and parameters Δ u \Delta u Δu and Δ v \Delta v Δv The surface corresponding to the change of .
because Δ u \Delta u Δu and Δ v \Delta v Δv smaller , So you can think of a surface as a parallelogram , The two sides are ∂ r → ∂ u Δ u \frac{\partial \overrightarrow{r}}{\partial u}\Delta u ∂u∂rΔu and ∂ r → ∂ v Δ v \frac{\partial \overrightarrow{r}}{\partial v}\Delta v ∂v∂rΔv
therefore
Δ S → = ± ( ∂ r → ∂ u Δ u ) × ( ∂ r → ∂ v Δ v ) \Delta \overrightarrow{S}=\pm \left( \frac{\partial \overrightarrow{r}}{\partial u}\Delta u \right) \times \left( \frac{\partial \overrightarrow{r}}{\partial v}\Delta v \right) ΔS=±(∂u∂rΔu)×(∂v∂rΔv)
therefore
d S → = ± ( ∂ r → ∂ u × ∂ r → ∂ v ) d u d v d\overrightarrow{S}=\pm \left( \frac{\partial \overrightarrow{r}}{\partial u}\times \frac{\partial \overrightarrow{r}}{\partial v} \right) dudv dS=±(∂u∂r×∂v∂r)dudv
The sign depends on which side is positive .
(3) The surface is implicitly expressed as g ( x , y , z ) = 0 g(x,y,z)=0 g(x,y,z)=0
The normal vector of the surface N → = ∇ g \overrightarrow{N}=\nabla g N=∇g.
Take a small slanted surface ( One of the edges is horizontal , And it is small enough to be regarded as a small plane ), Set the surface and horizontal plane x o y xoy xoy An Angle of α \alpha α, As shown in the figure .
Then the surface area Δ S \Delta S ΔS And in x o y xoy xoy The area of the projection on the axis Δ A \Delta A ΔA The relationship is
Δ S ⋅ cos α = Δ A \Delta S\cdot \cos \alpha =\Delta A ΔS⋅cosα=ΔA
( notes , It is not counted as Δ x Δ y \Delta x \Delta y ΔxΔy Because the two sides of the projection do not necessarily coincide with x Axis or y Axis parallel )
because
cos α = k ^ ⋅ N → ∣ k ^ ∣ ⋅ ∣ N → ∣ = k ^ ⋅ N → ∣ N → ∣ \cos \alpha =\frac{\widehat{k}\cdot \overrightarrow{N}}{\left| \widehat{k} \right|\cdot \left| \overrightarrow{N} \right|}=\frac{\widehat{k}\cdot \overrightarrow{N}}{\left| \overrightarrow{N} \right|} cosα=∣∣∣k∣∣∣⋅∣∣∣N∣∣∣k⋅N=∣∣∣N∣∣∣k⋅N
be
d S = ∣ N → ∣ k ^ ⋅ N → d A dS=\frac{\left| \overrightarrow{N} \right|}{\widehat{k}\cdot \overrightarrow{N}}\ dA dS=k⋅N∣∣∣N∣∣∣ dA
n ^ d S = ∣ N → ∣ n ^ k ^ ⋅ N → d A = ± N → k ^ ⋅ N → d A = ± N → k ^ ⋅ N → d x d y \widehat{n}dS=\frac{\left| \overrightarrow{N} \right|\widehat{n}}{\widehat{k}\cdot \overrightarrow{N}}\ dA=\pm \frac{\overrightarrow{N}}{\widehat{k}\cdot \overrightarrow{N}}\,\,dA=\pm \frac{\overrightarrow{N}}{\widehat{k}\cdot \overrightarrow{N}}\,\,dxdy ndS=k⋅N∣∣∣N∣∣∣n dA=±k⋅NNdA=±k⋅NNdxdy
The sign depends on which side is positive .
4. Divergence theorem ( Gauss formula )
If S S S It's a region D D D Closed surface of , The direction of the curve normal vector is outward , And the vector F ⃗ \vec{F} F In area D It is internally defined and differentiable , be
∬ S F → ⋅ d S → = ∭ D d i v ( F → ) d V , among d i v ( F → ) = ( P x + Q y + R z ) \iint_S{\overrightarrow{F}\cdot d\overrightarrow{S}}=\iiint_D{div\left( \overrightarrow{F} \right) dV}\ ,\ \text{ among \ }div\left( \overrightarrow{F} \right) =\left( P_x+Q_y+R_z \right) ∬SF⋅dS=∭Ddiv(F)dV , among div(F)=(Px+Qy+Rz)
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