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Calculation of Transition Probabilities in Quantum Mechanics with a Nonnegative Distribution Function in the Maple Computer Algebra System

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Abstract

In the Maple computer algebra system, an algorithm is implemented for symbolic and numerical computations for finding the transition probabilities for hydrogen-like atoms in quantum mechanics with a nonnegative quantum distribution function (QDF). Quantum mechanics with a nonnegative QDF is equivalent to the standard theory of quantum measurements. However, the presence in it of a probabilistic quantum theory in the phase space gives additional possibilities for calculating and interpreting the results of quantum measurements. The methods of computer algebra seem to be necessary for the relevant calculations. The calculation of the matrix elements of operators is necessary for determining the energy levels, oscillator strengths, and radiation transition parameters for atoms and ions with an open shell. Transition probabilities are calculated and compared with experimental data. They are calculated using the Galerkin method with the Sturm functions of the hydrogen atom as coordinate functions. The verification of the model showed good agreement between the calculated and experimentally measured transition probabilities.

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REFERENCES

  1. V. V. Kuryshkin, “Some problems of quantum mechanics possessing a nonnegative phase-space distribution function,” Int. J. Theor. Phys. 7 (6), 451 (1973).

    Article  MathSciNet  Google Scholar 

  2. V. V. Kuryshkin, “La mechanique quantique avec une function nonnegative de distribution dans l’espace des phases,” Ann. Inst. Henri Poincare 17 (1), 81 (1972).

    Google Scholar 

  3. A. V. Zorin and L. A. Sevastianov, “Hydrogen-like atom with nonnegative quantum distribution function,” Phys. At. Nuclei 70, 792 (2007).

    Article  Google Scholar 

  4. A. V. Zorin, “The operational model of quantum measurement of Kuryshkin–Wodkiewicz,” Bull. PFUR, Ser. Math. Phys, No. 2, 43 (2012).

    Google Scholar 

  5. V. Z. Alad’ev, Fundamentals of Programming in Maple (Tallinn, 2006) [in Russian].

    Google Scholar 

  6. A. V. Zorin, L. A. Sevastianov, and N. P. Tretyakov, “Computer modeling of hydrogen-like atoms in quantum mechanics with nonnegative distribution function,” Program. Comput. Software 33 (2), 94–104 (2007).

    Article  MathSciNet  Google Scholar 

  7. A. V. Zorin, “Transition probabilities in Kuryshkin’s quantum mechanics,” Bull. PFUR, Ser. Math. Phys, No. 4, 108 (2008).

    Article  Google Scholar 

  8. L. Sevastianov, A. Zorin, and A. Gorbachev, “Pseudo-differential operators in the operational model of a quantum measurement of observables,” Lect. Notes Comput. Sci. 7125, 174 (2012).

    Article  Google Scholar 

  9. A. V. Zorin and N. P. Tretyakov, “MAPLE program for modelling hydrogen-like atoms in quantum mechanics with nonnegative distribution function,” Bull. PFUR, Ser. Math. Phys, No. 4, 343 (2018).

    Google Scholar 

  10. A. V. Zorin, A. L. Sevastianov, and N. P. Tretyakov, QDF Code: Computer Modelling of Hydrogen-Like Atoms in Quantum Mechanics with Nonnegative Distribution Function (2019). https://bitbucket.org/yamadharma/articles-2019-zorin-qdf.

  11. A. S. Holevo, Statistical Structure of Quantum Theory (Springer, Berlin, 2017).

    MATH  Google Scholar 

  12. L. Cohen and Y. I. Zaparovanny, “Positive quantum joint distributions,” J. Math. Phys. 21, 794 (1980).

    Article  MathSciNet  Google Scholar 

  13. K. Wodkiewicz, “Operational approach to phase-space measurements in quantum mechanics,” Phys. Rev. Lett. 52, 1064 (1984).

    Article  MathSciNet  Google Scholar 

  14. M. Ozawa, “Mathematical foundations of quantum information: measurement and foundations,” Sugaku Expositions 27, 195 (2014).

    MathSciNet  Google Scholar 

  15. M. Rotenberg, “Theory and application of Sturmian functions,” Adv. At. Mol. Phys. 6, 233 (1970).

    Article  Google Scholar 

  16. Basic Atomic Spectroscopic Data. http://physics.nist.gov/PhysRefData.

  17. L. A. Sevastianov and A. V. Zorin, “The computer-based model of quantum measurement,” Phys. At. Nuclei 80 (4), 774 (2017).

    Article  Google Scholar 

  18. A. V. Zorin, L. A. Sevastianov, and N. P. Tretyakov, “Application of the noncommutative theory of statistical decisions to the modeling of quantum communication channels,” International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (2018), p. 26.

  19. O. Jitrik and C. F. Bunge, “Transition probabilities for hydrogen-like atoms,” J. Phys. Chem. Ref. Data 33, 1059 (2004).

    Article  Google Scholar 

  20. O. Jitrik and C. F. Bunge, “Salient features of electric and magnetic multipole transition probabilities of hydrogen-like systems,” Phys. Scr. 69, 196 (2004).

    Article  Google Scholar 

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ACKNOWLEDGMENTS

We are grateful to L.A. Sevastianov for fruitful discussions and permanent attention to our work.

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Correspondence to A. V. Zorin.

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Translated by E. Chernokozhin

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Zorin, A.V., Tretyakov, N.P. Calculation of Transition Probabilities in Quantum Mechanics with a Nonnegative Distribution Function in the Maple Computer Algebra System. Comput. Math. and Math. Phys. 60, 82–89 (2020). https://doi.org/10.1134/S0965542520010157

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  • DOI: https://doi.org/10.1134/S0965542520010157

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