A problem on polynomial fitting

In summary, the conversation discusses a problem involving the fitting ability of a special class of multi-variable polynomials, denoted by p(m), and another special class of multi-variable polynomials, denoted by q(n). The goal is to determine if p(m) can universally and exactly fit all members of q(n). The speaker is seeking hints or references on this problem, but has been unable to find relevant materials. They note that general results such as the Weierstrass-Stone Theorem may not be applicable due to the special form and relationship between p(m) and q(n).
  • #1
krete
15
0
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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  • #2
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.
 

Related to A problem on polynomial fitting

What is polynomial fitting?

Polynomial fitting is a statistical method used to find a mathematical equation that best fits a given set of data points. It involves finding a polynomial function that can accurately represent the relationship between the independent and dependent variables in the data.

Why is polynomial fitting important?

Polynomial fitting is important because it allows us to analyze and interpret data by finding a mathematical model that can predict future values. It is commonly used in fields such as engineering, economics, and physics to make predictions and identify patterns in data.

What types of problems can be solved using polynomial fitting?

Polynomial fitting can be used to solve a variety of problems, such as predicting stock market trends, analyzing population growth, and understanding the relationship between variables in scientific experiments. It is a versatile tool that can be applied to many different types of data.

What is the process of polynomial fitting?

The process of polynomial fitting involves first plotting the data points on a graph and then finding the best-fitting polynomial equation using methods such as least squares regression or maximum likelihood estimation. The equation is then used to make predictions and analyze the relationship between the variables in the data.

What are the limitations of polynomial fitting?

While polynomial fitting can be a powerful tool, it also has limitations. It assumes that the relationship between variables is polynomial, which may not always be the case. Additionally, polynomial functions can produce complex curves that may not accurately represent the data. It is important to carefully consider the data and the degree of the polynomial used in the fitting process to avoid overfitting the data.

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