Surface integrals of vector fields measure the flow through a surface, like fluid through a pipe or electric field lines through a charged surface. They're calculated by integrating the dot product of the vector field and surface normal vector over the surface.
This topic builds on earlier concepts of vector fields and surface integrals, applying them to real-world scenarios. It's crucial for understanding flux in physics and engineering, connecting mathematical theory to practical applications in fluid dynamics and electromagnetism.
Vector Fields and Surface Integrals
Vector Field Fundamentals
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Vector field assigns a vector to each point in a subset of space
Can be 2D or 3D
Commonly used to model physical quantities with magnitude and direction (velocity fields, force fields, electric fields)
Flux integral measures the total flow of a vector field through a surface
Calculated by integrating the dot product of the vector field and the surface normal vector over the surface
Represents the amount of "stuff" passing through the surface (fluid, electric field, heat)
Surface normal vector is a unit vector perpendicular to the surface at each point
Points outward for a closed surface (sphere, cube)
Determines the orientation of the surface for flux calculations
Dot product of two vectors a ⃗ ⋅ b ⃗ = a 1 b 1 + a 2 b 2 + a 3 b 3 \vec{a} \cdot \vec{b} = a_1b_1 + a_2b_2 + a_3b_3 a ⋅ b = a 1 b 1 + a 2 b 2 + a 3 b 3
Measures the alignment of the vectors
Maximum when vectors are parallel, zero when perpendicular
Calculating Surface Integrals
To evaluate a surface integral, parametrize the surface using two variables ( u , v ) (u,v) ( u , v )
r ⃗ ( u , v ) = ( x ( u , v ) , y ( u , v ) , z ( u , v ) ) \vec{r}(u,v) = (x(u,v), y(u,v), z(u,v)) r ( u , v ) = ( x ( u , v ) , y ( u , v ) , z ( u , v ))
Compute the surface normal vector using the cross product of partial derivatives
n ⃗ = ∂ r ⃗ ∂ u × ∂ r ⃗ ∂ v \vec{n} = \frac{\partial \vec{r}}{\partial u} \times \frac{\partial \vec{r}}{\partial v} n = ∂ u ∂ r × ∂ v ∂ r
Integrate the dot product of the vector field F ⃗ \vec{F} F and surface normal vector over the parameter domain
∬ S F ⃗ ⋅ d S ⃗ = ∬ D F ⃗ ( r ⃗ ( u , v ) ) ⋅ ( ∂ r ⃗ ∂ u × ∂ r ⃗ ∂ v ) d u d v \iint_S \vec{F} \cdot d\vec{S} = \iint_D \vec{F}(\vec{r}(u,v)) \cdot \left(\frac{\partial \vec{r}}{\partial u} \times \frac{\partial \vec{r}}{\partial v}\right) \, du \, dv ∬ S F ⋅ d S = ∬ D F ( r ( u , v )) ⋅ ( ∂ u ∂ r × ∂ v ∂ r ) d u d v
Surface integrals can be used to find the total flux through a surface (flow rate through a pipe, electric flux through a charged surface)
Orientation and the Divergence Theorem
Surface Orientation
Orientation of a surface determines the direction of the surface normal vector
Two possible orientations for a surface: inward-pointing or outward-pointing normal vectors
Closed surfaces (sphere, cube) have an outward orientation by convention
Open surfaces (part of a plane, paraboloid) can have either orientation
Orientation affects the sign of the flux integral
Positive flux for outward-pointing normal vectors
Negative flux for inward-pointing normal vectors
Consistency in orientation is crucial when applying the divergence theorem
Divergence Theorem
Divergence theorem relates the flux of a vector field through a closed surface to the divergence of the vector field within the enclosed volume
Also known as Gauss's theorem or Ostrogradsky's theorem
Divergence of a vector field F ⃗ = ( P , Q , R ) \vec{F} = (P,Q,R) F = ( P , Q , R ) is ∇ ⋅ F ⃗ = ∂ P ∂ x + ∂ Q ∂ y + ∂ R ∂ z \nabla \cdot \vec{F} = \frac{\partial P}{\partial x} + \frac{\partial Q}{\partial y} + \frac{\partial R}{\partial z} ∇ ⋅ F = ∂ x ∂ P + ∂ y ∂ Q + ∂ z ∂ R
Measures the net outward flow of the vector field from a point
Divergence theorem states: ∬ S F ⃗ ⋅ d S ⃗ = ∭ V ∇ ⋅ F ⃗ d V \iint_S \vec{F} \cdot d\vec{S} = \iiint_V \nabla \cdot \vec{F} \, dV ∬ S F ⋅ d S = ∭ V ∇ ⋅ F d V
Left side is the flux integral over the closed surface S S S
Right side is the triple integral of the divergence over the enclosed volume V V V
Useful for converting surface integrals to volume integrals (electric flux, heat flow)
Applications
Fluid Dynamics
Vector fields are used to model fluid flow (velocity fields, pressure gradients)
Velocity field v ⃗ ( x , y , z ) \vec{v}(x,y,z) v ( x , y , z ) gives the velocity of the fluid at each point
Pressure gradient ∇ p \nabla p ∇ p points in the direction of greatest pressure change
Flux integrals can determine the flow rate through a surface (pipe, vent, membrane)
Q = ∬ S v ⃗ ⋅ d S ⃗ Q = \iint_S \vec{v} \cdot d\vec{S} Q = ∬ S v ⋅ d S
Positive flux for outward flow, negative for inward flow
Divergence theorem relates the net outward flow to the divergence of the velocity field
Incompressible fluids have zero divergence (∇ ⋅ v ⃗ = 0 \nabla \cdot \vec{v} = 0 ∇ ⋅ v = 0 )
Non-zero divergence indicates sources or sinks in the flow
Electromagnetism
Electric and magnetic fields are vector fields
Electric field E ⃗ ( x , y , z ) \vec{E}(x,y,z) E ( x , y , z ) points in the direction of the force on a positive charge
Magnetic field B ⃗ ( x , y , z ) \vec{B}(x,y,z) B ( x , y , z ) points in the direction of the force on a moving charge
Electric flux through a surface is the surface integral of the electric field
Φ E = ∬ S E ⃗ ⋅ d S ⃗ \Phi_E = \iint_S \vec{E} \cdot d\vec{S} Φ E = ∬ S E ⋅ d S
Measures the total number of field lines passing through the surface
Magnetic flux through a surface is the surface integral of the magnetic field
Φ B = ∬ S B ⃗ ⋅ d S ⃗ \Phi_B = \iint_S \vec{B} \cdot d\vec{S} Φ B = ∬ S B ⋅ d S
Relates to the induced electromotive force (EMF) in a changing magnetic field (Faraday's law)
Divergence theorem applies to electric fields (Gauss's law)
Net electric flux through a closed surface is proportional to the enclosed charge
∬ S E ⃗ ⋅ d S ⃗ = Q ϵ 0 \iint_S \vec{E} \cdot d\vec{S} = \frac{Q}{\epsilon_0} ∬ S E ⋅ d S = ϵ 0 Q , where Q Q Q is the enclosed charge and ϵ 0 \epsilon_0 ϵ 0 is the permittivity of free space