Improved Bound of Four Moment Theorem and Its Application to Orthogonal Polynomials Associated with Laws
Abstract
:1. Introduction
2. Preliminaries
- (i)
- If the invariant measure is a Gaussian, Gamma, or Beta distribution, then is purely discrete and consists of infinitely many eigenvalues, each with multiplicity one.
- (ii)
- If the invariant measure is a skew t, inverse Gamma, or scaled F distribution, then contains a discrete and a continuous part. The discrete part consists of finitely many eigenvalues.
3. Main Results
4. Application to Three Polynomials
4.1. Ornstein–Uhlenbeck Generator
4.2. Jacobi Generator
4.2.1. Beta Approximation
4.2.2. Normal Approximation
4.3. Romanovski–Routh Generator
5. Conclusions and Future Works
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Kim, Y.-T.; Park, H.-S. Improved Bound of Four Moment Theorem and Its Application to Orthogonal Polynomials Associated with Laws. Axioms 2023, 12, 1092. https://doi.org/10.3390/axioms12121092
Kim Y-T, Park H-S. Improved Bound of Four Moment Theorem and Its Application to Orthogonal Polynomials Associated with Laws. Axioms. 2023; 12(12):1092. https://doi.org/10.3390/axioms12121092
Chicago/Turabian StyleKim, Yoon-Tae, and Hyun-Suk Park. 2023. "Improved Bound of Four Moment Theorem and Its Application to Orthogonal Polynomials Associated with Laws" Axioms 12, no. 12: 1092. https://doi.org/10.3390/axioms12121092