EconPapers    
Economics at your fingertips  
 

An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions

Mohammad Masjed-Jamei ()
Additional contact information
Mohammad Masjed-Jamei: Faculty of Mathematics, K. N. Toosi University of Technology, Tehran P.O. Box 16315-1618, Iran

Mathematics, 2025, vol. 13, issue 14, 1-89

Abstract: We establish a theory whose structure is based on a fixed variable and an algebraic inequality and which improves the well-known least squares theory. The mentioned fixed variable plays a basic role in creating such a theory. In this direction, some new concepts, such as p-covariances with respect to a fixed variable, p-correlation coefficients with respect to a fixed variable, and p-uncorrelatedness with respect to a fixed variable, are defined in order to establish least p-variance approximations. We then obtain a specific system, called the p-covariances linear system, and apply the p-uncorrelatedness condition on its elements to find a general representation for p-uncorrelated variables. Afterwards, we apply the concept of p-uncorrelatedness for continuous functions, particularly for polynomial sequences, and we find some new sequences, such as a generic two-parameter hypergeometric polynomial of the F 3 4 type that satisfies a p-uncorrelatedness property. In the sequel, we obtain an upper bound for 1-covariances, an improvement to the approximate solutions of over-determined systems and an improvement to the Bessel inequality and Parseval identity. Finally, we generalize the concept of least p-variance approximations based on several fixed orthogonal variables.

Keywords: Least p-Variance approximations; least squares theory; p-Covariances and p-Correlation coefficients; p-Uncorrelatedness with respect to a fixed variable; Hypergeometric polynomials; generalized Gram-Schmidt orthogonalization process (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/13/14/2255/pdf (application/pdf)
https://www.mdpi.com/2227-7390/13/14/2255/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:13:y:2025:i:14:p:2255-:d:1700011

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-07-17
Handle: RePEc:gam:jmathe:v:13:y:2025:i:14:p:2255-:d:1700011