25.1 Statement and proof of the divergence theorem

4 min readaugust 6, 2024

The connects surface integrals to volume integrals for vector fields. It states that the total outward through a equals the volume integral of the divergence within the enclosed region.

This powerful theorem simplifies complex calculations in physics and engineering. It's used in electromagnetism, , and heat transfer to relate field properties inside a volume to their behavior at the boundary.

Vector Fields and Divergence

Vector Fields and Their Properties

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  • assigns a vector to each point in a subset of space
  • Can be used to represent physical quantities that have both magnitude and direction at every point (velocity fields, force fields, electric fields)
  • Properties of vector fields include , differentiability, and integrability
  • Examples of vector fields include gravitational fields and magnetic fields

Divergence as a Measure of Vector Field Flow

  • Divergence is a scalar quantity that measures the tendency of a vector field to converge or diverge at a given point
  • Positive divergence indicates a source or outward flow at the point (fluid flowing out of a pipe)
  • Negative divergence indicates a sink or inward flow at the point (water draining into a sink)
  • Zero divergence indicates no net flow at the point and is called incompressible flow (steady flow in a pipe of constant cross-section)

Flux as the Flow of a Vector Field Through a Surface

  • Flux is a scalar quantity that measures the amount of a vector field passing through a surface
  • Calculated by integrating the normal component of the vector field over the surface
  • Positive flux indicates net flow out of the surface (heat radiating from a surface)
  • Negative flux indicates net flow into the surface (electric field lines entering a charged object)
  • Flux depends on the orientation of the surface relative to the vector field

Integral Formulations

Surface Integrals for Calculating Flux

  • Surface integral is an integral taken over a surface
  • Used to calculate the flux of a vector field through a surface
  • Requires parameterizing the surface and expressing the vector field in terms of the surface parameters
  • Computed by integrating the dot product of the vector field with the unit normal vector to the surface over the entire surface
  • Examples include calculating the electric flux through a closed surface and the flow rate of a fluid through a pipe

Volume Integrals for Calculating Total Divergence

  • Volume integral is an integral taken over a three-dimensional region
  • Used to calculate the total divergence of a vector field within a volume
  • Computed by integrating the divergence of the vector field over the entire volume
  • Represents the net outward flux of the vector field through the boundary surface of the volume
  • Examples include calculating the total electric charge within a region and the total mass flow rate out of a control volume

Closed Surfaces and Their Properties

  • Closed surface is a surface that completely encloses a volume with no holes or gaps
  • Orientation of a closed surface is determined by the outward unit normal vector at each point
  • Flux through a closed surface is equal to the total divergence within the enclosed volume (by the divergence theorem)
  • Examples of closed surfaces include spheres, cubes, and any surface that can be deformed into a sphere without tearing

Divergence Theorem

Statement and Proof of the Divergence Theorem

  • Divergence theorem states that the total outward flux of a vector field through a closed surface is equal to the volume integral of the divergence of the vector field over the region enclosed by the surface
  • Mathematically: SFndS=VFdV\iint_S \mathbf{F} \cdot \mathbf{n} \, dS = \iiint_V \nabla \cdot \mathbf{F} \, dV
  • Proved using Gauss's theorem and the properties of surface and volume integrals
  • Connects the concepts of flux, divergence, and integrals over surfaces and volumes
  • Useful for converting surface integrals to volume integrals and vice versa

Outward Unit Normal Vector and Its Role

  • Outward unit normal vector n\mathbf{n} is a unit vector perpendicular to a surface at a given point, pointing outward from the enclosed volume
  • Determines the orientation of the surface for calculating flux
  • Used in the divergence theorem to relate the flux through a surface to the divergence within the enclosed volume
  • Examples include the outward normal vectors to a sphere (radial unit vectors) and to a cube (unit vectors perpendicular to each face)

Applications and Examples of the Divergence Theorem

  • Calculating the flux of a vector field through a closed surface by computing the volume integral of the divergence (electric flux through a closed surface enclosing a charge distribution)
  • Determining the total divergence within a volume by computing the flux through the boundary surface (total heat generated within a region by computing the heat flux through the surface)
  • Simplifying surface integrals by converting them to volume integrals using the divergence theorem (computing the outward flux of a radial vector field through a sphere)
  • Verifying the consistency of vector field models using the divergence theorem (checking if the total outward flux matches the total divergence within a region)

Key Terms to Review (16)

Bounded region: A bounded region is a set of points in space that is enclosed within finite limits, often forming a closed shape. This concept is essential in multiple mathematical applications, as it determines the area or volume to be considered when integrating functions over that space. Recognizing a bounded region helps in applying various theorems and methods for evaluating integrals, such as changing the order of integration and utilizing the divergence theorem.
Closed Surface: A closed surface is a continuous two-dimensional manifold that encloses a three-dimensional region without any edges or boundaries. It is significant in vector calculus as it serves as the boundary for solid regions in the application of the divergence theorem, which relates the flow of a vector field through the surface to the behavior of the field inside the volume it encloses.
Compact region: A compact region is a subset of Euclidean space that is both closed and bounded. This means that it contains all its limit points and can fit within some finite boundary. Compact regions play a critical role in various mathematical theorems, including the divergence theorem, as they ensure the existence of integrals and properties related to continuity and limits.
Continuity: Continuity is a property of functions that describes the behavior of a function at a point, ensuring that small changes in input result in small changes in output. It is crucial for understanding how functions behave, particularly when dealing with limits, derivatives, and integrals across multiple dimensions.
Convergence: Convergence refers to the property of a mathematical sequence or series where its terms approach a specific value as the index increases. This concept is essential in understanding limits, continuity, and integrals, as it helps in determining whether a sequence or function stabilizes at a certain point, providing insights into the behavior of multivariable functions and their integrals.
Curl: Curl is a vector operator that measures the rotation of a vector field in three-dimensional space. It provides insight into the local spinning motion of the field, indicating how much and in which direction the field 'curls' around a point.
Divergence Theorem: The Divergence Theorem, also known as Gauss's Theorem, states that the volume integral of the divergence of a vector field over a region is equal to the flux of the vector field across the boundary surface of that region. This theorem connects surface integrals and volume integrals, making it a fundamental result in vector calculus.
Electromagnetic fields: Electromagnetic fields are physical fields produced by electrically charged objects, characterized by their ability to exert forces on other charged objects. They play a crucial role in understanding the behavior of electric and magnetic forces and their interactions, which is essential for many applications in physics and engineering. These fields are described mathematically using vector fields, making concepts like curl and divergence integral to analyzing their properties and effects.
Fluid dynamics: Fluid dynamics is the branch of physics that studies the behavior of fluids (liquids and gases) in motion. It examines how these fluids interact with their surroundings and the forces acting upon them, making it essential for understanding various physical phenomena and applications, including those involving rotation and circulation as described by the curl, as well as surface integrals and flux in relation to Stokes' theorem and the divergence theorem.
Flux: Flux is a measure of the flow of a field through a surface, typically quantified as the integral of a vector field across that surface. It is essential for understanding how physical quantities like fluid flow or electromagnetic fields behave in three-dimensional space, linking concepts like divergence, circulation, and surface integrals.
Gottfried Wilhelm Leibniz: Gottfried Wilhelm Leibniz was a German polymath who made significant contributions to philosophy, mathematics, and science during the 17th century. He is best known for developing calculus independently of Isaac Newton and for his work on mathematical formalism, which laid the groundwork for later developments in physics and engineering. His ideas on the relationship between mathematics and physical phenomena connect closely to fundamental theorems that describe various mathematical operations in physics.
Gradient: The gradient is a vector that represents the direction and rate of the steepest ascent of a scalar field. It connects with various concepts like tangent vectors, normal vectors, and tangent planes, as it helps in understanding how functions change in multiple dimensions. The gradient is also crucial in optimization problems, where it indicates how to adjust variables for maximum or minimum values.
Green's theorem: Green's theorem states that the line integral around a simple closed curve in the plane is equal to the double integral of the divergence of a vector field over the region enclosed by the curve. This theorem connects the concepts of circulation around a curve to the behavior of vector fields in the area it encloses, illustrating important relationships between line integrals and double integrals.
Joseph-Louis Lagrange: Joseph-Louis Lagrange was an influential 18th-century mathematician and astronomer known for his contributions to various fields, including calculus, mechanics, and number theory. His work laid the groundwork for many modern mathematical theories, including the formulation of the divergence theorem, which connects vector fields and their behavior in multi-dimensional spaces.
Piecewise smooth boundary: A piecewise smooth boundary refers to a boundary of a region in space that is made up of a finite number of smooth curves or surfaces, each of which is differentiable except possibly at a finite number of points. This concept is important because it allows for the application of various integral theorems, ensuring that calculations involving line and surface integrals can be performed effectively over these boundaries.
Vector Field: A vector field is a function that assigns a vector to every point in a subset of space, representing quantities that have both magnitude and direction at each point. This concept is essential for understanding how physical quantities vary over a region, influencing calculations related to force, flow, and motion in various applications.
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