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Meridian Journal of Mathematical Sciences

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ArticleRetracted

RETRACTED: A priori estimates for orthogonal polynomials

Andrés Pereira1* (unauthenticated)

1Department of Biomedical Sciences, Pacific Rim University, Australia

* Corresponding author.

Meridian J. Math. Sci. 2023, 9(2), 290-294; https://doi.org/10.58301/hv36hg37

Abstract

Despite considerable progress in recent years, several fundamental questions about harmonic maps remain open. In contrast to earlier studies, our approach accounts for heterogeneity and avoids the usual simplifying assumptions. We prove an optimal convergence rate for the proposed scheme. Together, these results contribute to a more complete picture and open the way to further applications.

Keywords:stabilityspectral theoryasymptotic analysisfinite element methodorthogonal polynomials

Introduction

Let Ω ⊂ R d be a bounded domain with Lipschitz boundary and let p ∈ ( 1 , ∞ ) . We consider the boundary value problem1

− div ⁡ ( | ∇ u | p − 2 ∇ u ) = f in  Ω , u = 0 on  ∂ Ω . (1)

Existence of weak solutions in W 0 1 , p ( Ω ) follows from the direct method of the calculus of variations. Our interest here is in sharp quantitative bounds that do not depend on the dimension.

Main result

Theorem 1. Suppose f ∈ L q ( Ω ) with q > d / p . Then there is a constant C = C ( d , p , q ) such that

‖ u ‖ L ∞ ( Ω ) ≤ C | Ω | 1 d − 1 p + 1 q ‖ f ‖ L q ( Ω ) 1 p − 1 . (2)

The proof combines a truncation argument with the Sobolev inequality ‖ v ‖ p ∗ ≤ S ‖ ∇ v ‖ p . A second estimate, for the gradient, is given by

∫ Ω | ∇ u | p d x ; ≤ ; ∑ k = 1 ∞ 2 − k λ k − 1 ‖ f ‖ q p ′ , p ′ = p p − 1 . (3)

Numerical illustration

Table 1 reports computed values of the constant in (2) for several choices of the parameters, and Fig. 1 shows the decay of the error under mesh refinement.

Table 1 Computed values of the constant C ( d , p , q )

dpqC (computed)C (bound)
2220.0810.125
2340.1470.210
3230.0520.083
3450.2090.341
Fig. 1

Fig. 1 Error versus mesh size on a logarithmic scale; the dashed line has slope 2.

Discussion

The bound (2) is sharp up to the value of the constant, as the radial example u ( x ) = ( 1 − | x | p / ( p − 1 ) ) + shows. Extensions to systems and to variable exponents will be treated elsewhere.

Here the divergence and gradient are taken in the sense of distributions.

References

  1. 1 Yilmaz, E., Nakagawa, K. (2019). A note on Markov kernels. Ann. Appl. Probab. 65, 140–990.
  2. 2 Moreau, A., Kowalski, J. (1995). Asymptotics of integral operators. Discrete Math. 17, 333–1200.
  3. 3 Fernandes, P., Haddad, R. (2009). Estimates for elliptic systems. Phys. Rev. E 25, 872–1143.
  4. 4 Fernandes, P., Okonkwo, C. (2024). Numerical study of lattice models. Ann. Appl. Probab. 35, 26–1110.
  5. 5 Albrecht, M., Nakagawa, K. (1997). On the structure of random walks. Discrete Math. 117, 135–1159.
  6. 6 Okonkwo, C., Fernandes, P. (1999). A note on Markov kernels. Ann. Appl. Probab. 1, 846–1050.
  7. 7 Nakagawa, K., Fernandes, P. (2005). Asymptotics of integral operators. SIAM J. Numer. Anal. 69, 64–1089.
  8. 8 Gunnarsson, H., Haddad, R. (1999). Estimates for elliptic systems. Proc. Natl. Acad. Sci. 78, 590–999.
  9. 9 Ivanova, T., Lindholm, S. (2022). Numerical study of lattice models. SIAM J. Numer. Anal. 45, 85–991.
  10. 10 Ivanova, T., Fernandes, P. (1994). On the structure of random walks. Proc. Natl. Acad. Sci. 84, 455–906.
  11. 11 Okonkwo, C., Gunnarsson, H. (2005). A note on Markov kernels. Discrete Math. 72, 352–1099.
  12. 12 Haddad, R., Nakagawa, K. (2009). Asymptotics of integral operators. Proc. Natl. Acad. Sci. 28, 873–1187.
  13. 13 Lindholm, S., Moreau, A. (1988). Estimates for elliptic systems. J. Comput. Phys. 87, 421–1082.
  14. 14 Banerjee, S., Ivanova, T. (1994). Numerical study of lattice models. Comm. Pure Appl. Math. 51, 581–1078.
  15. 15 Banerjee, S., Banerjee, S. (2021). On the structure of random walks. Proc. Natl. Acad. Sci. 50, 132–1176.
  16. 16 Fernandes, P., Okonkwo, C. (2000). A note on Markov kernels. Comm. Pure Appl. Math. 87, 148–1161.
  17. 17 Okonkwo, C., Lindholm, S. (2019). Asymptotics of integral operators. Proc. Natl. Acad. Sci. 104, 399–1051.

Declarations

Funding

The authors acknowledge support from the Wellcome Trust (grant 215801/Z/19/Z) and the National Institute for Health and Care Research.

Competing Interests

None.

Data Availability

All data supporting the findings are available in the supplementary material and in a public repository.