Multi-dimensional Chebyshev polynomials?

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SUMMARY

The discussion focuses on the extension of Chebyshev polynomials to multiple dimensions, specifically for fitting unknown multi-dimensional functions. The user seeks guidance on the generating functions of multi-dimensional Chebyshev polynomials, emphasizing their utility in fitting functions with minimal preconceived notions. A reference to an academic paper is provided for further exploration of this topic.

PREREQUISITES
  • Understanding of Chebyshev polynomials and their properties
  • Familiarity with multi-dimensional function fitting techniques
  • Knowledge of numerical methods for coefficient determination
  • Basic comprehension of generating functions in polynomial theory
NEXT STEPS
  • Research the generating functions of multi-dimensional Chebyshev polynomials
  • Explore numerical methods for fitting multi-dimensional functions
  • Study the application of Chebyshev polynomials in approximation theory
  • Read the referenced paper on multi-dimensional Chebyshev polynomials for deeper insights
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Mathematicians, researchers in approximation theory, and data scientists interested in multi-dimensional function fitting using Chebyshev polynomials.

Wallace
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I was hoping someone could point me in the direction of a suitable extension of Chebyshev polynomials to mutple dimensions?

I find Chebyshev polynomials useful in situations when I need to fit some function in a general way, imposing as little pre-concieved ideas about the form as possible but still allowing an analytic form of the fitted function. This can be acheived by numerically searching for the values of co-efficients in front of Chebyshev polynomials of increasing order.

However, I want to extend this to some unknown function of multiple dimensions. Does anyone know what the generating functions of Chebyshev polynomials in multiple dimensions are?
 
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