Skip to main content

Divergence Calculator – Vector Field Divergence

Calculate the divergence of a 3D vector field

Calculate Divergence

Enter coefficients for a linear vector field: F(x,y,z) = (ax+by+cz, dx+ey+fz, gx+hy+iz)

Component P: P(x,y,z)

Component Q: Q(x,y,z)

Component R: R(x,y,z)

Evaluation Point (x, y, z)

How to Use

  1. Enter coefficients for the P component (coefficient of x, y, z)
  2. Enter coefficients for the Q component (coefficient of x, y, z)
  3. Enter coefficients for the R component (coefficient of x, y, z)
  4. Enter the point (x, y, z) where you want to evaluate divergence
  5. Click calculate to see the divergence result

What is Divergence?

Divergence is a vector operator that measures the magnitude of a vector field's source or sink at a given point. In other words, it tells you how much a vector field is 'spreading out' or 'converging' at that point.

For a 3D vector field F(x,y,z) = (P, Q, R), the divergence is defined as: div F = ∂P/∂x + ∂Q/∂y + ∂R/∂z

Physical Interpretation

Divergence has important physical interpretations:

  • Positive divergence: The field is acting as a source (fluid flowing outward)
  • Negative divergence: The field is acting as a sink (fluid flowing inward)
  • Zero divergence: The field is incompressible (volume is conserved)
  • In fluid dynamics: divergence measures the rate of expansion or compression
  • In electromagnetism: divergence relates to charge density (Gauss's law)

How to Calculate Divergence

To calculate divergence of a vector field F = (P, Q, R):

  • Take the partial derivative of P with respect to x: ∂P/∂x
  • Take the partial derivative of Q with respect to y: ∂Q/∂y
  • Take the partial derivative of R with respect to z: ∂R/∂z
  • Add these three partial derivatives: div F = ∂P/∂x + ∂Q/∂y + ∂R/∂z

For example, if F(x,y,z) = (2x, 3y, 4z), then div F = 2 + 3 + 4 = 9.

Applications of Divergence

  • Fluid dynamics: modeling incompressible flow
  • Electromagnetism: Gauss's law and Maxwell's equations
  • Heat transfer: analyzing heat flux and temperature distribution
  • Computer graphics: simulating fluid and smoke effects
  • Weather modeling: analyzing atmospheric pressure systems
  • Engineering: stress analysis and material deformation

The Divergence Theorem

The divergence theorem (also called Gauss's theorem) relates the flux of a vector field through a closed surface to the divergence of the field in the volume enclosed by the surface:

∫∫∫ (div F) dV = ∫∫ F · n dS

This theorem is fundamental in physics and engineering, connecting local properties (divergence) to global properties (flux through a boundary).

Frequently Asked Questions

What does positive divergence mean?
Positive divergence means the vector field is acting as a source at that point - the field vectors are pointing outward, like fluid flowing out of a source. The magnitude tells you how strong the source is.
What is the difference between divergence and curl?
Divergence measures how much a vector field spreads out or converges (producing a scalar), while curl measures how much it rotates (producing a vector). Divergence uses ∇·F notation, curl uses ∇×F.
Can divergence be negative?
Yes, negative divergence indicates the field is acting as a sink - vectors are pointing inward toward that point. For example, a drain in a fluid flow would have negative divergence.
What does zero divergence mean?
Zero divergence means the field is incompressible or divergence-free at that point. The amount of field flowing into any small volume equals the amount flowing out. This is important for modeling incompressible fluids and magnetic fields.

Related Calculators

math
Absolute Value Inequalities Calculator

Solve absolute value inequalities with steps

math
Add Fractions Calculator

Add, subtract, multiply, and divide fractions

math
Adjugate Matrix Calculator

Calculate adjugate matrix with steps