Skip to main content
Log in

Fourier matrices and Fourier tensors

  • Research Article
  • Published:
Frontiers of Mathematics in China Aims and scope Submit manuscript

Abstract

The Fourier matrix is fundamental in discrete Fourier transforms and fast Fourier transforms. We generalize the Fourier matrix, extend the concept of Fourier matrix to higher order Fourier tensor, present the spectrum of the Fourier tensors, and use the Fourier tensor to simplify the high order Fourier analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bracewell R N. The Fourier Transform and Its Applications. 3rd ed. Boston: McGraw-Hill, 2000

    MATH  Google Scholar 

  2. Comon P, Golub G H, Lim L H, Mourrain B. Symmetric Tensors and Symmetric Tensor Rank. SCCM Technical Report 06-02. Stanford Univ, 2006

  3. Cooley J W, Lewis P A W, Welch P D. Historical notes on the fast Fourier transform. Proc IEEE, 1967, 55(10): 1675–1677

    Article  Google Scholar 

  4. Cooley J W, Tukey J W. An algorithm for the machine calculation of complex Fourier series. Math Comp, 1965, 19: 297–301

    Article  MathSciNet  Google Scholar 

  5. Danielson G C, Lanczos C. Some improvements in practical Fourier analysis and their application to X-ray scattering from liquids. J Franklin Inst, 1942, 233: 365–380

    Article  MathSciNet  Google Scholar 

  6. Gentleman W M, Sande G. Fast Fourier transforms for fun and profit. In: Fall Joint Computer Conference, Vol 29 of AFIPS Conference Proceedings, Spartan Books, Washington D C. 1966, 563–578

  7. Goertzel G. An algorithm for the evaluation of finite trigonometric series. Amer Math Monthly, 1958, 65(1): 34–35

    Article  MathSciNet  Google Scholar 

  8. Good I J. The interaction algorithm and practical Fourier analysis. J R Stat Soc Ser A, 1958, 20: 361–372

    MathSciNet  MATH  Google Scholar 

  9. Gray R M, Goodman J W. Fourier Transforms: An Introduction for Engineers. Dordrecht: Kluwer, 1995

    Book  Google Scholar 

  10. Harshman R A. Determination and proof of minimum uniqueness conditions for PARAFAC. UCLA Working Papers in Phonetics, 1972, 22: 111–117

    Google Scholar 

  11. Huang Z, Qi L Q. Positive definiteness of paired symmetric tensors and elasticity tensors. J Comput Appl Math, 2018, 338: 22–43

    Article  MathSciNet  Google Scholar 

  12. Kolda T. Numerical optimization for symmetric tensor decomposition. Math Program, Ser B, 2015, 151: 225–248

    Article  MathSciNet  Google Scholar 

  13. Kolda T, Bader B W. Tensor decompositions and applications. SIAM Review, 2009, 51: 455–500

    Article  MathSciNet  Google Scholar 

  14. Qi L Q. Eigenvalues and invariants of tensors. J Math Anal Appl, 2007, 325: 1363–1377

    Article  MathSciNet  Google Scholar 

  15. Qi L Q. Symmetric nonnegative tensors and copositive tensors. Linear Algebra Appl, 2013, 439: 228–238

    Article  MathSciNet  Google Scholar 

  16. Qi L Q, Luo Z Y. Tensor Analysis: Spectral Theory and Special Tensors. Philadelphia: SIAM, 2017

    Book  Google Scholar 

  17. Serre J-P. A Course in Arithmetic. Grad Texts in Math, Vol 7. New York: Springer, 1973

    Book  Google Scholar 

  18. Tao T. High Order Fourier Analysis. Grad Stud Math, Vol 142. Providence: Amer Math Soc, 2012

    Book  Google Scholar 

  19. Terras A. Fourier Analysis on Finite Groups and Applications. Cambridge: Cambridge Univ Press, 1999

    Book  Google Scholar 

  20. Xu C Q, Wang M Y, Li X. Generalized Vandermonde tensors. Front Math China, 2016, 11(3): 593–603

    Article  MathSciNet  Google Scholar 

  21. Xu C Q, Xu Y R. Tensor convolutions and Hankel tensors. Front Math China, 2017, 12(6): 1357–1373

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The author would like to thank the anonymous referees for their careful readings and detailed valuable suggestions which led to the significant improvement of the manuscript. This work was partially supported by the National Natural Science Foundation of China (Grant No. 11871362).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Changqing Xu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, C. Fourier matrices and Fourier tensors. Front. Math. China 16, 1099–1115 (2021). https://doi.org/10.1007/s11464-021-0904-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11464-021-0904-y

Keywords

MSC2020

Navigation