MATLAB: Fluid Flow - Curl of a Vector Field

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SUMMARY

This discussion focuses on calculating the curl of a vector field using MATLAB's built-in curl function. The user is working with matrices representing fluid position and velocity derived from particle image velocimetry, specifically in the format of x, y, u, and v. The curl function computes the curl by utilizing finite differences for partial derivatives, applying central differences for interior points and single-sided differences for edge points. The user expresses gratitude for the clarification on the algorithmic approach used in MATLAB's implementation.

PREREQUISITES
  • Understanding of vector calculus, specifically the concept of curl.
  • Familiarity with MATLAB programming environment and syntax.
  • Knowledge of finite difference methods for numerical differentiation.
  • Experience with particle image velocimetry data representation.
NEXT STEPS
  • Explore MATLAB's documentation on the curl function for detailed algorithm insights.
  • Learn about finite difference methods in numerical analysis.
  • Investigate the mathematical derivation of curl in two-dimensional vector fields.
  • Practice implementing custom curl calculations in MATLAB for various datasets.
USEFUL FOR

Researchers, engineers, and students working in fluid dynamics, particularly those utilizing MATLAB for computational analysis of vector fields and fluid flow simulations.

Tallus Bryne
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TL;DR
Looking for a mathematical description of what exactly the MATLAB curl function does when doing something like [curlz, cav] = curl(x,y,u,v).
I am working with some data which represents the fluid position and velocity for each point of measurement as an x, y, u, and v matrix (from particle image velocimetry). I have done things like circulation, and discretizing the line integral involved was no problem. I am stuck when trying to calculate the vorticity at each point. Lets say each x, y, u, v matrix is NxN. I would like to find a NxN matrix which represents the curl of the associated velocity field. I'm aware of the curl function on MATLAB and how [curlz, cav] = curl(x,y,u,v) will do the job just fine. What I'm really wondering is how exactly MATLAB's curl function does this calculation, or just how it would be done on paper in a simple case. Aside from a solution, I'd also appreciate any advice or hints.
 
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From the "Algorithms" section of the documentation:

curl computes the partial derivatives in its definition by using finite differences. For interior data points, the partial derivatives are calculated using central difference. For data points along the edges, the partial derivatives are calculated using single-sided (forward) difference.
 
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Wow. I don't know how many times I looked over that documentation page, even up to the previous section "Numerical Curl and Angular Velocity" and was somehow blind to the "Algorithms" each time. Appreciate the quick response, thanks!
 

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