Is the Converse of Polynomial Convexity True in Complex Analysis?

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SUMMARY

The discussion centers on the concept of polynomial convexity in complex analysis, specifically referencing Gunning and Rossi's work. It establishes that while polynomial convexity allows for the uniform approximation of analytic functions by polynomials on compact subsets of a domain D, the converse is not universally true in higher dimensions (C^n for n > 1). However, the converse holds true in one-dimensional complex analysis (C). The key takeaway is the distinction between the behavior of polynomial convexity in different dimensional contexts.

PREREQUISITES
  • Understanding of complex analysis, particularly in several variables.
  • Familiarity with the concept of polynomial convexity.
  • Knowledge of analytic functions and their properties.
  • Basic comprehension of compact subsets in topology.
NEXT STEPS
  • Study the implications of polynomial convexity in complex analysis.
  • Explore the differences between complex analysis in one dimension (C) and higher dimensions (C^n).
  • Investigate the properties of analytic functions and their approximation by polynomials.
  • Review Gunning and Rossi's book on complex analysis for deeper insights.
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Mathematicians, complex analysts, and students studying advanced topics in complex analysis, particularly those interested in polynomial convexity and its implications in various dimensions.

lark
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I've been reading Gunning and Rossi's book on complex analysis in several variables (good book!).
They define something called "polynomial convexity" for a domain D. "domain" = connected open set, I think.
The point of polynomial convexity is that if D \subset C^n is polynomially convex, then an analytic function on D can be approximated by polynomials, and the approximation is uniform on compact subsets of D.
Is the converse true? i.e. if D isn't polynomially convex, is there a function that's analytic on D that can't be approximated by polynomials uniformly on compact subsets?
If D isn't polynomially convex, that means there's a compact subset K of D and a point w \notin D such that
|p(w)| \leq max(|p(z)|, z \in K), for all polynomials p.
Laura
 
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