A problem on polynomial fitting

AI Thread Summary
The discussion centers on the challenge of determining whether a specific class of multi-variable polynomials, p(m), can universally and exactly fit another class, q(n), despite their differing forms. The original poster seeks guidance or references to address this fitting problem, noting that previous readings on nonlinear functional analysis and algebra have not yielded relevant insights. The general results, such as the Weierstrass-Stone Theorem, are deemed too broad to apply effectively due to the unique characteristics of p(m) and q(n). Participants express that the vagueness of the classes involved complicates the development of a concrete solution. Overall, the need for more precise definitions and examples is emphasized to advance the discussion.
krete
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I encounter a problem on the fitting ability of a special class of multi-variable polynomials. To be specific, I need find whether a special class of multi-variable polynomials, denoted by p(m), where m is the number of variables, can universally and exactly fit all member in another special class of multi-variable polynomials q(n), where n is also the number of variables. Note that p(m) and q(n) have different forms, respectively. Might you please give me some hints or references on this problem? Thank you in advance for you kind help.

Btw, I tried to read some materials on nonlinear functional analysis and algebra. But I could not find a relevant reference. Please note that the general result (e.g., Weierstrass-Stone Theorem) seems to be too general to guide this problem since the form of p(m) and q(n) are special, and the m and n are related.
 
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krete said:
Please note that the general result (e.g., Weierstrass-Stone Theorem) seems to be too general to guide this problem since the form of p(m) and q(n) are special, and the m and n are related.
The same can be said about the question. Some class for ##p(m)##, another class for ##q(n)## is simply to vague to develop an idea of what could help, and
krete said:
... universally and exactly fit all member ...
isn't of help either.
 
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