Next Article in Journal
Atomic and Molecular Laser-Induced Breakdown Spectroscopy of Selected Pharmaceuticals
Previous Article in Journal
Positron Impact Excitation of the 2S State of Atomic Hydrogen
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Shannon, Rényi, Tsallis Entropies and Onicescu Information Energy for Low-Lying Singly Excited States of Helium

1
Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 10617, Taiwan
2
Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
*
Author to whom correspondence should be addressed.
Atoms 2019, 7(3), 70; https://doi.org/10.3390/atoms7030070
Submission received: 10 June 2019 / Revised: 5 July 2019 / Accepted: 11 July 2019 / Published: 18 July 2019

Abstract

:
Knowledge of the electronic structures of atomic and molecular systems deepens our understanding of the desired system. In particular, several information-theoretic quantities, such as Shannon entropy, have been applied to quantify the extent of electron delocalization for the ground state of various systems. To explore excited states, we calculated Shannon entropy and two of its one-parameter generalizations, Rényi entropy of order α and Tsallis entropy of order α , and Onicescu Information Energy of order α for four low-lying singly excited states (1s2s 1 S e , 1s2s 3 S e , 1s3s 1 S e , and 1s3s 3 S e states) of helium. This paper compares the behavior of these three quantities of order 0.5 to 9 for the ground and four excited states. We found that, generally, a higher excited state had a larger Rényi entropy, larger Tsallis entropy, and smaller Onicescu information energy. However, this trend was not definite and the singlet–triplet reversal occurred for Rényi entropy, Tsallis entropy and Onicescu information energy at a certain range of order α .

1. Introduction

The electronic structure, a unique feature of an atomic or molecular system, is fundamental for further understanding of other properties. To characterize an electronic structure, one critical aspect is whether the electron distribution is localized or delocalized [1,2]. Originated from the information theory and later extended to the position space, the information-theoretic (IT) quantities provide a possible quantitative account of the extent of electron localization. For instance, the more delocalized is the electron distribution, the larger is the Shannon entropy (S) [3,4,5,6,7,8,9,10,11,12,13,14]. Moreover, Rényi entropy of order α ( R α ) [15,16,17] and Tsallis entropy of order α ( T α ) [18,19,20,21] are the one-parameter generalizations of Shannon entropy and offer extended descriptions. In addition, Onicescu Information Energy of order α ( E α O ) [22,23] is related to the frequency moment of the electron density [24,25,26]. These IT quantities have been applied to various atomic and molecular systems [4,5,6,7,8,9,10,11,12,13,14,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80] and potentials [81,82,83,84,85,86,87,88,89,90,91]. Further background details of these IT quantities were summarized by Ilić and Stanković [92] and by us [80].
However, a large part of the reports focus on the ground state, to the best of our knowledge. Even though some results for Rydberg states [10,40,46,62,63,64,81] are available, behaviors of these IT quantities for excited states remain to be explored. In particular, for the helium atom, Shannon entropy generally increases for higher excited states [10,11,12] but several exceptions are also found [10]. To examine the trend in IT quantities for increasing excitations, we calculated Shannon, Rényi, and Tsallis entropies and Onicescu Information Energy for four low-lying singly excited states (1s2s 1 S e , 1s2s 3 S e , 1s3s 1 S e , and 1s3s 3 S e states) of helium, subsequent to our previous benchmark report for the ground state helium [80]. This paper compares the behavior of these quantities of order 0.5 to 9 for the ground and four excited states of helium.

2. Theoretical Methods

2.1. Determination of Ground and Singly Excited States of Helium via Hylleraas Wave Functions

The non-relativistic Hamiltonian of helium atom (in atomic units) is
H = 1 2 1 2 1 2 2 2 2 r 1 2 r 2 + 1 r 12 ,
where subscripts 1 and 2 are indexes of electrons, and r 12 is the distance between the two electrons. Featuring the explicit r 12 term, Hylleraas wave functions [93,94,95] take the electron correlation into account [96,97] and are written as
ψ m n k ( r 1 , r 2 , r 12 ) = m n k C m n k ( e β 1 r 1 e β 2 r 2 r 1 m r 2 n r 12 k + e β 1 r 2 e β 2 r 1 r 2 m r 1 n r 12 k )
for singlet states, and
ψ m n k ( r 1 , r 2 , r 12 ) = m n k C m n k ( e β 1 r 1 e β 2 r 2 r 1 m r 2 n r 12 k e β 1 r 2 e β 2 r 1 r 2 m r 1 n r 12 k )
for triplet states. m ,   n ,   k , and ω are zero or positive integers and m + n + k ω so ω determines the size of basis set. Besides, β 1 and β 2 are variational parameters. For singlet states with arbitrary β 1 and β 2 , and also for triplet states with β 1 β 2 , m n and ω starts from zero. On the other hand, for triplet states with β 1 = β 2 , m > n and ω counts from one. The restrictions above are summarized in Table 1.

2.2. Definitions for Electron Density

In the position space, Shannon, Rényi, and Tsallis entropies and Onicescu informational energy are defined in terms of the electron density. Nonetheless, different definitions of electron density exist in the literature and are described as follows. For a N-electron wave function Ψ ( x 1 , x 2 , , x N ) , the spinless one-electron density [98], or N-normalized one-electron density, ρ ( r ) is defined as
ρ ( r 1 ) N | Ψ ( x 1 , x 2 , , x N ) | 2 d s 1 d x 2 d x N ,
where x i is the spin s i and space r i = ( r i , θ i , ϕ i ) coordinates of the ith electron. Integration of this electron density equals to the number of electrons N in the system as
ρ ( r ) d r = N .
On the other hand, the one-normalized one-electron density σ ( r ) is defined by dividing ρ ( r ) by N as [99]
σ ( r ) ρ ( r ) N .
Therefore, in contrast to the former choice of normalizing the electron density ρ ( r ) to N, σ ( r ) is normalized to one as
σ ( r ) d r = 1 .
This σ ( r ) is also called shape factor [99,100], shape function [99,101], unit-normalized density [27], 1-normalized density [29], or density per particle [102,103]. In this work, we computed the radial part of one-normalized one-electron density σ ( r 1 ) according to Calais and Lowdin as [104]
σ ( r 1 ) ρ ( r 1 ) N = | ψ ( r 1 , r 2 , r 12 ) | 2 d r 2 = 2 π r 1 0 r 2 d r 2 | r 1 r 2 | r 1 + r 2 r 12 d r 12 | ψ ( r 1 , r 2 , r 12 ) | 2 .

2.3. Information-Theoretic Quantities in the Position Space

In this work, we examined four information-theoretic quantities, including Shannon entropy (S), Rényi entropy of order α ( R α ), Tsallis entropy of order α ( T α ), and Onicescu informational energy of order α ( E α O ). These quantities originated from probability and information theory, and were later extended to the position space by taking the electron density as the argument. Further background details of these IT quantities are summarized in our previous work [80]. The information-theoretic quantities for one-normalized one-electron density σ ( r ) are defined as
S [ σ ( r ) ] 0 σ ( r ) ln σ ( r ) 4 π r 2 d r , R α [ σ ( r ) ] 1 1 α ln 0 σ ( r ) α 4 π r 2 d r , T α [ σ ( r ) ] 1 α 1 1 0 σ ( r ) α 4 π r 2 d r , E α O [ σ ( r ) ] 1 α 1 0 σ ( r ) α 4 π r 2 d r .
The integrals were solved by 600-point Gauss–Laguerre quadrature.
Although not calculated in this work, the information-theoretic quantities for N-normalized one-electron density ρ ( r ) are defined similarly as
S [ ρ ( r ) ] 0 ρ ( r ) ln ρ ( r ) 4 π r 2 d r , R α [ ρ ( r ) ] 1 1 α ln 0 ρ ( r ) α 4 π r 2 d r , T α [ ρ ( r ) ] 1 α 1 1 0 ρ ( r ) α 4 π r 2 d r , E α O [ ρ ( r ) ] 1 α 1 0 ρ ( r ) α 4 π r 2 d r ,
Formulas for conversion between IT quantities using the two different densities are [27,29,32,55,56,57,59,72]
S [ ρ ( r ) ] = S [ σ ( r ) ] N N ln N , R α [ ρ ( r ) ] = R α [ σ ( r ) ] + α 1 α ln N , T α [ ρ ( r ) ] = T α [ σ ( r ) ] N α + 1 N α α 1 , E α O [ ρ ( r ) ] = E α O [ σ ( r ) ] N α .

3. Results and Discussion

All values are in atomic units. We first examined the accuracy of calculated energy to confirm the quality of wave functions used for calculating other quantities. Moreover, the self consistency of our information-theoretic quantities were examined. Then, we compared and analyzed the behavior of the IT quantities for the ground and singly excited states.

3.1. Accuracy of Presented Energy and Information-Theoretic Quantities

3.1.1. Energy E

In our previous benchmark work for the ground state helium [80], we let β 1 = β 2 and changed only one parameter. In contrast, here for singly excited states, we varied β 1 and β 2 independently (Table 2) with size of basis set ω = 15 (444 terms). Our energies satisfactorily agree with other high precision results [105] (Table 3), demonstrating the reliability of our calculations.

3.1.2. Shannon Entropy S, Rényi Entropy R α , Tsallis Entropy T α and Onicescu Information Energy E α O

Our Shannon entropy well agreed with the literature [10,11,52,80] (Table 3). Moreover, we tested the self consistency by seeing if our values satisfy the analytic relations between them as follows. Let us take the 1s2s 1 S e state for example (Figure 1 and Figure 2). First, by definition, both Rényi entropy R α and Tsallis entropy T α recover Shannon entropy when the order α goes to one as
lim α 1 R α = S , lim α 1 T α = S .
Our numerical values obey this requirement because the curves of Rényi entropy and Tsallis entropy intersect each other at the value of Shannon entropy when order goes to one (Figure 1).
Second, the sum of Tsallis entropy T α and Onicescu informational energy E α O equals to 1 / ( α 1 ) as
T α + E α O = 1 α 1
This phenomenon is best seen in Figure 2. When the order α decreases toward 0.5, T α increases, E α O decreases, and their sum 1 / ( α 1 ) tends to 2 . Furthermore, when the order is close α to one, Onicescu informational energy diverges, but the sum of Tsallis entropy and Onicescu informational energy still equals 1 / ( α 1 ) .
Third, Rényi entropy R α , Tsallis entropy T α and Onicescu informational energy E α O are related by the following relations: [18,80]
R α = ln [ 1 + T α ( 1 α ) ] 1 α , R α = ln [ E α O ( α 1 ) ] 1 α .
Our numerical values fulfill these analytic relations between them.

3.2. Comparison of Shannon Entropy S of the Ground and Four Singly Excited States

We first analyzed the behavior of Shannon entropy, from which Rényi entropy and Tsallis entropy were generalized. As shown in Table 3, the higher is the energy, the larger is the Shannon entropy [10,11,12]. However, although this trend was observed for the presented S-type states of helium, several exceptions have been reported if the states to be compared have different total orbital angular momentum L [10].
On the other hand, Shannon entropy reflects the extent of electron delocalization [10,11,12]. In particular, for a given configuration, the electron density of the triplet state is shift toward and more concentrated to the origin than that of the singlet (Figure 3). As a result, the triplet state has a lower Shannon entropy than the singlet. Restrepo Cuartas and Sanz-Vicario called this phenomenon the Entropic Hund’s first rule [10].

3.3. Comparison of Rényi Entropy R α , Tsallis Entropy T α and Onicescu Information Energy E α O of the Ground and Four Singly Excited States

Now, we move on to Rényi entropy R α , Tsallis entropy T α , and Onicescu Information Energy E α O . For simplicity, we consider the singlet states or the triplet states individually, and then compare the singlet with the triplet for a given configuration in the next subsection.
Within either the series of singlets (1s 2 1 S e , 1s2s 1 S e and 1s3s 1 S e states) or the series of triplets (1s2s 3 S e and 1s3s 3 S e states), higher excited states had larger Rényi entropy R α (Figure 4a) and Tsallis entropy T α (Figure 4b), and smaller Onicescu Information Energy (Figure 4c) throughout order α from 0.5 to 9. Furthermore, for a given IT quantity, the curves of different configurations gradually separate when the order α decreases toward 0.5 . One possible explanation is that the electron distribution of higher excited states oscillated more (Figure 3), and this behavior may be highlighted at a certain range of order α .

3.4. Singlet–Triplet Reversal of Rényi entropy R α , Tsallis entropy T α and Onicescu Information Energy E α O

Here we compare the IT quantities of the singlet state with those of the corresponding triplet state. At fist glance, for a given configuration, the singlet state generally had a larger Rényi entropy, larger Tsallis entropy and smaller Onicescu Information Energy than the triplet state (Figure 4). However, this ordering was not definite and may even be reversed. To be more specific, the difference between an IT quantity of the singlet state and that of the corresponding triplet state are in Figure 5a for the 1s2s and in Figure 5b for the 1s3s configuration. The singlet–triplet reversal occurred at 1.71 α 2.2 for the 1s2s and at 1.52 α 2.8 for the 1s3s configuration.
Moreover, the difference between Onicescu Information Energy of the singlet state and that of the triplet state has opposite sign to the difference for Tsallis entropy (Figure 5). This behavior can be readily verified by
E α O ( singlet ) E α O ( triplet ) = [ 1 α 1 T α ( singlet ) ] [ 1 α 1 T α ( triplet ) ] = [ T α ( singlet ) T α ( triplet ) ] .
Selected values for Rényi, Tsallis entropy and Onicescu Information Energy for the low-lying singly excited states of helium are in Table 4, Table 5 and Table 6, respectively, and the full data are in Tables S1–S3.
Additionally, singlet–triplet reversal has also been reported for the interacting repulsive potential energy between two electrons in singly-excited states in quantum dots under certain confinement conditions [107,108], and in singly-excited states of helium-like ions under screened Coulomb interacting potentials with certain screening strengths and atomic numbers Z [109].

4. Conclusions

Generally, a higher excited state of helium had a larger Shannon entropy, larger Rényi entropy of order α , larger Tsallis entropy of order α , and smaller Onicescu information energy of order α . This behavior possibly reflects the more delocalized nature of electron distribution of higher excited states. However, for Rényi entropy, Tsallis entropy and Onicescu information energy, this trend was not definite and singlet–triplet reversal occurred at a certain range of order α . In the future, the knowledge of bounds and asymptotic analysis of these quantities may provide additional understanding of this behavior [110,111,112,113,114,115,116].
On the other hand, these IT quantities not only reflect the extent of electron delocalization, as discussed in this article, but also have numerous applications. For instance, Rényi entropy has been widely used to examine quantum entanglement [117,118,119,120,121,122,123]. Furthermore, Tsallis statistics is relevant to certain systems of ultracold atoms [124,125,126,127]. Moreover, these IT quantities are applied to investigate electron correlation [30,31,33,39,72,128,129,130,131,132,133,134,135,136] and various molecular properties as well [28,36,45,48,49,59,60,61,72,73]. Calculated with the highly correlated Hylleraas wave functions, the results in this work then serve as a useful and reliable reference for the various applications mentioned above.
As for a theoretical application, our present calculations would also play a role to test the Collins Conjecture [137]—correlation energy (the difference between the exact energy and Hartree–Fock energy) is directly proportional to entropy—when one could extend the calculations to other helium-like ions. Thus, such a conjecture was tested by Dehesa and coworkers [138,139] to be valid for von Neumann entropy in helium iso-electronic sequence. It would be of interest to test the Collins Conjecture for Shannon, Renyi, or Tsallis entropy to be valid for helium sequence using highly correlated wave functions.
Finally, it should be mentioned that, to the best of our knowledge, there is no formula relating entropy to the quantum number of any given excited state, in a manner similar to the formula relating quantum defect to the effective quantum number for such an excited state. Nevertheless, this is an interesting issue and it is worthwhile to explore further in future investigations.

Supplementary Materials

Full data for Rényi, Tsallis entropies and Onicescu Information Energy of order 0.5 to 9 for the ground and low-lying singly excited states of helium are in Table S1 to S3 and are available online at https://www.mdpi.com/2218-2004/7/3/70/s1.

Author Contributions

Both authors made equal contributions.

Acknowledgments

J.-H.O. thanks Yen-Chang Lin and Chien-Hao Lin for helpful discussions, and Roy Yeh for suggestions about artwork. Our work was supported by the Ministry of Science and Technology, Taiwan.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chalvet, O.; Daudel, R.; Diner, S.; Malrieu, J.P. (Eds.) Localization and Delocalization in Quantum Chemistry Volume I Atoms and Molecules in the Ground State; Springer: Dordrecht, The Netherlands, 1975; Volume 1. [Google Scholar] [CrossRef]
  2. Chalvet, O.; Daudel, R.; Diner, S.; Malrieu, J.P. (Eds.) Localization and Delocalization in Quantum Chemistry Volume II Ionized and Excited States; Springer: Dordrecht, The Netherlands, 1976; Volume 2. [Google Scholar] [CrossRef]
  3. Shannon, C.E. A Mathematical Theory of Communication. Bell Syst. Tech. J. 1948, 27, 379–423. [Google Scholar] [CrossRef] [Green Version]
  4. Aslangul, C.; Constanciel, R.; Daudel, R.; Kottis, P. Aspects of the Localizability of Electrons in Atoms and Molecules: Loge Theory and Related Methods. Adv. Quantum Chem. 1972, 6, 93–141. [Google Scholar] [CrossRef]
  5. Sen, K.D. Characteristic features of Shannon information entropy of confined atoms. J. Chem. Phys. 2005, 123, 074110. [Google Scholar] [CrossRef] [PubMed]
  6. Corzo, H.H.; Laguna, H.G.; Sagar, R.P. Localization-delocalization phenomena in a cyclic box. J. Math. Chem. 2012, 50, 233–248. [Google Scholar] [CrossRef]
  7. Cedillo, A. Comment on “Localization-delocalization phenomena in a cyclic box” by H. H. Corzo, H. G. Laguna, and R. P. Sagar. J. Math. Chem. 2017, 55, 1889–1892. [Google Scholar] [CrossRef]
  8. Corzo, H.H.; Castaño, E.; Laguna, H.G.; Sagar, R.P. Measuring localization-delocalization phenomena in a quantum corral. J. Math. Chem. 2013, 51, 179–193. [Google Scholar] [CrossRef]
  9. Laguna, H.G.; Sagar, R.P. Quantum uncertainties of the confined Harmonic Oscillator in position, momentum and phase-space. Ann. Phys. 2014, 526, 555–566. [Google Scholar] [CrossRef]
  10. Restrepo Cuartas, J.P.; Sanz-Vicario, J.L. Information and entanglement measures applied to the analysis of complexity in doubly excited states of helium. Phys. Rev. A 2015, 91, 052301. [Google Scholar] [CrossRef]
  11. Ou, J.H.; Ho, Y.K. Shannon Information Entropy in Position Space for the Ground and Singly Excited States of Helium with Finite Confinements. Atoms 2017, 5, 15. [Google Scholar] [CrossRef]
  12. Ou, J.H.; Ho, Y.K. Shannon information entropy in position space for doubly excited states of helium with finite confinements. Chem. Phys. Lett. 2017, 689, 116–120. [Google Scholar] [CrossRef]
  13. Rodriguez-Bautista, M.; Vargas, R.; Aquino, N.; Garza, J. Electron-density delocalization in many-electron atoms confined by penetrable walls: A Hartree-Fock study. Int. J. Quantum Chem. 2018, 118, e25571. [Google Scholar] [CrossRef]
  14. Majumdar, S.; Mukherjee, N.; Roy, A.K. Information entropy and complexity measure in generalized Kratzer potential. Chem. Phys. Lett. 2019, 716, 257–264. [Google Scholar] [CrossRef]
  15. Rényi, A. On measures of entropy and information. In Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability; Neyman, J., Ed.; University of California Press: Berkeley, CA, USA, 1961; Volume 1, pp. 547–561. [Google Scholar]
  16. Renyi, A. Probability Theory; North-Holland Publishing Company: Amsterdam, The Netherlands, 1970. [Google Scholar]
  17. Beadle, E.; Schroeder, J.; Moran, B.; Suvorova, S. An overview of Renyi Entropy and some potential applications. In Proceedings of the 2008 42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 26–29 October 2008; pp. 1698–1704. [Google Scholar] [CrossRef]
  18. Tsallis, C. Possible generalization of Boltzmann-Gibbs statistics. J. Stat. Phys. 1988, 52, 479–487. [Google Scholar] [CrossRef]
  19. Tsallis, C. Introduction to Nonextensive Statistical Mechanics; Springer: New York, NY, USA, 2009. [Google Scholar]
  20. Tsallis, C. The Nonadditive Entropy Sq and Its Applications in Physics and Elsewhere: Some Remarks. Entropy 2011, 13, 1765–1804. [Google Scholar] [CrossRef]
  21. Tsallis, C. On the foundations of statistical mechanics. Eur. Phys. J. Spec. Top. 2017, 226, 1433–1443. [Google Scholar] [CrossRef]
  22. Onicescu, O. Energie Informationnelle. Comptes Rendus Hebd. Seances L’Academie Sci. Ser. A 1966, 263, 841–842. [Google Scholar]
  23. Iosifescu, M. Octav Onicescu. In Statisticians of the Centuries; Heyde, C.C., Seneta, E., Crépel, P., Fienberg, S.E., Gani, J., Eds.; Springer: New York, NY, USA, 2001; pp. 415–419. [Google Scholar] [CrossRef]
  24. Angulo, J.C.; Romera, E.; Dehesa, J.S. Inverse atomic densities and inequalities among density functionals. J. Math. Phys. 2000, 41, 7906–7917. [Google Scholar] [CrossRef] [Green Version]
  25. Romera, E.; Angulo, J.C.; Dehesa, J.S. The Hausdorff entropic moment problem. J. Math. Phys. 2001, 42, 2309. [Google Scholar] [CrossRef] [Green Version]
  26. Romera, E.; Angulo, J.C.; Dehesa, J.S. Erratum: The Hausdorff entropic moment problem [J. Math. Phys. 42, 2309 (2001)]. J. Math. Phys. 2003, 44, 2354. [Google Scholar] [CrossRef]
  27. Hô, M.; Sagar, R.P.; Pérez-Jordá, J.M.; Smith, V.H.; Esquivel, R.O. A numerical study of molecular information entropies. Chem. Phys. Lett. 1994, 219, 15–20. [Google Scholar] [CrossRef]
  28. Hô, M.; Smith, V.H.; Weaver, D.F.; Gatti, C.; Sagar, R.P.; Esquivel, R.O. Molecular similarity based on information entropies and distances. J. Chem. Phys. 1998, 108, 5469–5475. [Google Scholar] [CrossRef]
  29. Fazal, S.P.; Sen, K.D.; Gutierrez, G.; Fuentealba, P. Shannon entropy of 1-normalized electron density. Indian J. Chem. Sect. A 2000, 39, 48–49. [Google Scholar]
  30. Massen, S.E. Application of information entropy to nuclei. Phys. Rev. C 2003, 67, 014314. [Google Scholar] [CrossRef] [Green Version]
  31. Guevara, N.L.; Sagar, R.P.; Esquivel, R.O. Shannon-information entropy sum as a correlation measure in atomic systems. Phys. Rev. A 2003, 67, 012507. [Google Scholar] [CrossRef]
  32. Sen, K.D.; De Proft, F.; Borgoo, A.; Geerlings, P. N-derivative of Shannon entropy of shape function for atoms. Chem. Phys. Lett. 2005, 410, 70–76. [Google Scholar] [CrossRef]
  33. Guevara, N.L.; Sagar, R.P.; Esquivel, R.O. Local correlation measures in atomic systems. J. Chem. Phys. 2005, 122, 084101. [Google Scholar] [CrossRef]
  34. Moustakidis, C.; Chatzisavvas, K.; Panos, C. Theoretical Quantum-information Properties of Nuclei and Trapped Bose Gases. Int. J. Mod. Phys. E 2005, 14, 1087–1104. [Google Scholar] [CrossRef]
  35. Chatzisavvas, K.C.; Moustakidis, C.C.; Panos, C.P. Information entropy, information distances, and complexity in atoms. J. Chem. Phys. 2005, 123, 174111. [Google Scholar] [CrossRef]
  36. Gregori-Puigjané, E.; Mestres, J. SHED: Shannon Entropy Descriptors from Topological Feature Distributions. J. Chem. Inf. Model. 2006, 46, 1615–1622. [Google Scholar] [CrossRef]
  37. Mohajeri, A.; Dasmeh, P. Evaluating the Nature of Chemical Bonds Based on Probabilistic Models. Int. J. Mod. Phys. C 2007, 18, 1795. [Google Scholar] [CrossRef]
  38. Romera, E.; Nagy, Á. Rényi information of atoms. Phys. Lett. A 2008, 372, 4918–4922. [Google Scholar] [CrossRef]
  39. Mohajeri, A.; Alipour, M. Information Energy As an Electron Correlation Measure in Atomic and Molecular Systems. Int. J. Quantum Inf. 2009, 07, 801–809. [Google Scholar] [CrossRef]
  40. Dehesa, J.S.; López-Rosa, S.; Martínez-Finkelshtein, A.; Yáñez, R.J. Information theory of D-dimensional hydrogenic systems: Application to circular and Rydberg states. Int. J. Quantum Chem. 2009, 110, 1529–1548. [Google Scholar] [CrossRef]
  41. Nagy, Á.; Romera, E. Relative Rényi entropy for atoms. Int. J. Quantum Chem. 2009, 109, 2490–2494. [Google Scholar] [CrossRef]
  42. Nagy, Á.; Romera, E. Maximum Rényi entropy principle and the generalized Thomas-Fermi model. Phys. Lett. A 2009, 373, 844–846. [Google Scholar] [CrossRef]
  43. Antolín, J.; Angulo, J.C. Complexity analysis of ionization processes and isoelectronic series. Int. J. Quantum Chem. 2009, 109, 586–593. [Google Scholar] [CrossRef]
  44. Antolín, J.; López-Rosa, S.; Angulo, J. Renyi complexities and information planes: Atomic structure in conjugated spaces. Chem. Phys. Lett. 2009, 474, 233–237. [Google Scholar] [CrossRef]
  45. Delgado-Soler, L.; Toral, R.; Tomás, M.S.; Rubio-Martinez, J. RED: A set of molecular descriptors based on Rényi entropy. J. Chem. Inf. Model. 2009, 49, 2457–2468. [Google Scholar] [CrossRef] [PubMed]
  46. López-Rosa, S.; Toranzo, I.V.; Sánchez-Moreno, P.; Dehesa, J.S. Entropy and complexity analysis of hydrogenic Rydberg atoms. J. Math. Phys. 2013, 54, 052109. [Google Scholar] [CrossRef] [Green Version]
  47. Nagy, Á. Shannon entropy density as a descriptor of Coulomb systems. Chem. Phys. Lett. 2013, 556, 355–358. [Google Scholar] [CrossRef] [Green Version]
  48. Molina-Espíritu, M.; Esquivel, R.O.; Kohout, M.; Angulo, J.C.; Dobado, J.A.; Dehesa, J.S.; LópezRosa, S.; Soriano-Correa, C. Insight into the informational-structure behavior of the Diels-Alder reaction of cyclopentadiene and maleic anhydride. J. Mol. Model. 2014, 20, 2631. [Google Scholar] [CrossRef] [PubMed]
  49. Welearegay, M.A.; Balawender, R.; Holas, A. Information and complexity measures in molecular reactivity studies. Phys. Chem. Chem. Phys. 2014, 16, 14928–14946. [Google Scholar] [CrossRef] [PubMed]
  50. Nagy, Á.; Romera, E. Relative Rényi entropy and fidelity susceptibility. Europhys. Lett. 2015, 109, 60002. [Google Scholar] [CrossRef]
  51. Esquivel, R.O.; Molina-Espíritu, M.; López-Rosa, S.; Soriano-Correa, C.; Barrientos-Salcedo, C.; Kohout, M.; Dehesa, J.S. Predominant Information Quality Scheme for the Essential Amino Acids: An Information-Theoretical Analysis. ChemPhysChem 2015, 16, 2571–2581. [Google Scholar] [CrossRef] [PubMed]
  52. Lin, C.H.; Ho, Y.K. Shannon information entropy in position space for two-electron atomic systems. Chem. Phys. Lett. 2015, 633, 261–264. [Google Scholar] [CrossRef] [Green Version]
  53. Lin, C.H.; Ho, Y.K. Quantum Entanglement and Shannon Information Entropy for the Doubly Excited Resonance State in Positronium Negative Ion. Atoms 2015, 3, 422–432. [Google Scholar] [CrossRef] [Green Version]
  54. Peng, H.T.; Ho, Y.K. Statistical Correlations of the N-particle Moshinsky Model. Entropy 2015, 17, 1882–1895. [Google Scholar] [CrossRef] [Green Version]
  55. Rong, C.; Lu, T.; Ayers, P.W.; Chattaraj, P.K.; Liu, S. Scaling properties of information-theoretic quantities in density functional reactivity theory. Phys. Chem. Chem. Phys. 2015, 17, 4977–4988. [Google Scholar] [CrossRef]
  56. Rong, C.; Lu, T.; Ayers, P.W.; Chattaraj, P.K.; Liu, S. Correction: Scaling properties of information-theoretic quantities in density functional reactivity theory. Phys. Chem. Chem. Phys. 2015, 17, 11110–11111. [Google Scholar] [CrossRef] [Green Version]
  57. Liu, S.B.; Rong, C.Y.; Wu, Z.M.; Lu, T. Rényi entropy, Tsallis entropy and Onicescu information energy in density functional reactivity theory. Acta Phys.-Chim. Sin. 2015, 31, 2057–2063. [Google Scholar] [CrossRef]
  58. Esquivel, R.O.; López-Rosa, S.; Molina-Espíritu, M.; Angulo, J.C.; Dehesa, J.S. Information-theoretic space from simple atomic and molecular systems to biological and pharmacological molecules. Theor. Chem. Acc. 2016, 135, 253. [Google Scholar] [CrossRef]
  59. Liu, S.B. Information-Theoretic Approach in Density Functional Reactivity Theory. Acta Phys.-Chim. Sin. 2016, 32, 98–118. [Google Scholar] [CrossRef]
  60. Zhou, X.Y.; Rong, C.; Lu, T.; Zhou, P.; Liu, S. Information Functional Theory: Electronic Properties as Functionals of Information for Atoms and Molecules. J. Phys. Chem. A 2016, 120, 3634–3642. [Google Scholar] [CrossRef] [PubMed]
  61. Alipour, M.; Safari, Z. From information theory to quantitative description of steric effects. Phys. Chem. Chem. Phys. 2016, 18, 17917–17929. [Google Scholar] [CrossRef] [PubMed]
  62. Toranzo, I.V.; Dehesa, J.S. Rényi, Shannon and Tsallis entropies of Rydberg hydrogenic systems. Europhys. Lett. 2016, 113, 48003. [Google Scholar] [CrossRef]
  63. Toranzo, I.V.; Puertas-Centeno, D.; Dehesa, J.S. Entropic properties of D-dimensional Rydberg systems. Physica A 2016, 462, 1197–1206. [Google Scholar] [CrossRef]
  64. Dehesa, J.S.; Toranzo, I.V.; Puertas-Centeno, D. Entropic measures of Rydberg-like harmonic states. Int. J. Quantum Chem. 2017, 117, 48–56. [Google Scholar] [CrossRef]
  65. Huang, Y.; Rong, C.; Zhang, R.; Liu, S. Evaluating frontier orbital energy and HOMO/LUMO gap with descriptors from density functional reactivity theory. J. Mol. Model. 2017, 23, 3. [Google Scholar] [CrossRef]
  66. Farid, M.; Abdel-Hady, A.; Nasser, I. Comparative study of the scaling behavior of the Rényi entropy for He-like atoms. J. Phys. Conf. Ser. 2017, 869, 012011. [Google Scholar] [CrossRef]
  67. Nasser, I.; Zeama, M.; Abdel-Hady, A. The Rényi entropy, a comparative study for He-like atoms using the exponential-cosine screened Coulomb potential. Results Phys. 2017, 7, 3892–3900. [Google Scholar] [CrossRef]
  68. Zan, L.R.; Jiao, L.G.; Ma, J.; Ho, Y.K. Information-theoretic measures of hydrogen-like ions in weakly coupled Debye plasmas. Phys. Plasmas 2017, 24, 122101. [Google Scholar] [CrossRef]
  69. Cao, X.; Rong, C.; Zhong, A.; Lu, T.; Liu, S. Molecular acidity: An accurate description with information-theoretic approach in density functional reactivity theory. J. Comput. Chem. 2018, 39, 117–129. [Google Scholar] [CrossRef] [PubMed]
  70. Jiao, L.G.; Zan, L.R.; Zhang, Y.Z.; Ho, Y.K. Benchmark values of Shannon entropy for spherically confined hydrogen atom. Int. J. Quantum Chem. 2017, 117, e25375. [Google Scholar] [CrossRef]
  71. Laguna, H.G.; Sagar, R.P. Information theoretical measures from cumulative and survival densities in quantum systems. Int. J. Quantum Chem. 2017, 117, e25387. [Google Scholar] [CrossRef]
  72. Alipour, M.; Badooei, Z. Toward Electron Correlation and Electronic Properties from the Perspective of Information Functional Theory. J. Phys. Chem. A 2018, 122, 6424–6437. [Google Scholar] [CrossRef]
  73. Alipour, M. Which information theoretic quantity should we choose for steric analysis of water nanoclusters (H2O)n (n = 6,32,64)? Acta Phys.-Chim. Sin. 2018, 34, 407–413. [Google Scholar] [CrossRef]
  74. Mukherjee, N.; Roy, A.K. Information-entropic measures in free and confined hydrogen atom. Int. J. Quantum Chem. 2018, 118, e25596. [Google Scholar] [CrossRef]
  75. Mukherjee, N.; Roy, A.K. Information-entropic measures for non-zero l states of confined hydrogen-like ions. Eur. Phys. J. D 2018, 72, 118. [Google Scholar] [CrossRef]
  76. Mukherjee, N.; Roy, A.K. Information-Entropic Measures in Confined Isotropic Harmonic Oscillator. Adv. Theory Simul. 2018, 1, 1800090. [Google Scholar] [CrossRef]
  77. Nasser, I.; Zeama, M.; Abdel-Hady, A. The nonadditive entropy for the ground state of helium-like ions using Hellmann potential. Mol. Phys. 2019, 2019, 1612105. [Google Scholar] [CrossRef]
  78. Zeama, M.; Nasser, I. Tsallis entropy calculation for non-Coulombic helium. Physica A 2019, 528, 121468. [Google Scholar] [CrossRef]
  79. López-Rosa, S.; Martín, A.L.; Antolín, J.; Angulo, J.C. Electron-pair entropic and complexity measures in atomic systems. Int. J. Quantum Chem. 2019, 119, e25861. [Google Scholar] [CrossRef]
  80. Ou, J.H.; Ho, Y.K. Benchmark calculations of Rényi, Tsallis entropies, and Onicescu information energy for ground state helium using correlated Hylleraas wave functions. Int. J. Quantum Chem. 2019, 119, e25928. [Google Scholar] [CrossRef]
  81. Sánchez-Moreno, P.; Omiste, J.J.; Dehesa, J.S. Entropic functionals of Laguerre polynomials and complexity properties of the half-line Coulomb potential. Int. J. Quantum Chem. 2011, 111, 2283–2294. [Google Scholar] [CrossRef] [Green Version]
  82. Sun, G.H.; Dong, S.H.; Saad, N. Quantum information entropies for an asymmetric trigonometric Rosen-Morse potential. Ann. Phys. 2013, 525, 934–943. [Google Scholar] [CrossRef]
  83. Dong, S.; Sun, G.H.; Dong, S.H.; Draayer, J. Quantum information entropies for a squared tangent potential well. Phys. Lett. A 2014, 378, 124–130. [Google Scholar] [CrossRef]
  84. Yahya, W.A.; Oyewumi, K.J.; Sen, K.D. Position and momentum information-theoretic measures of the pseudoharmonic potential. Int. J. Quantum Chem. 2015, 115, 1543–1552. [Google Scholar] [CrossRef] [Green Version]
  85. Mukherjee, N.; Roy, A.; Roy, A.K. Information entropy as a measure of tunneling and quantum confinement in a symmetric double-well potential. Ann. Phys. 2015, 527, 825–845. [Google Scholar] [CrossRef] [Green Version]
  86. Mukherjee, N.; Roy, A.K. Quantum confinement in an asymmetric double-well potential through energy analysis and information entropic measure. Ann. Phys. 2016, 528, 412–433. [Google Scholar] [CrossRef]
  87. Ghosal, A.; Mukherjee, N.; Roy, A.K. Information entropic measures of a quantum harmonic oscillator in symmetric and asymmetric confinement within an impenetrable box. Ann. Phys. 2016, 528, 796–818. [Google Scholar] [CrossRef]
  88. Isonguyo, C.N.; Oyewumi, K.J.; Oyun, O.S. Quantum information-theoretic measures for the static screened Coulomb potential. Int. J. Quantum Chem. 2018, 118, e25620. [Google Scholar] [CrossRef]
  89. Onate, C.A.; Ikot, A.N.; Onyeaju, M.C.; Ebomwonyi, O.; Idiodi, J.O.A. Effect of dissociation energy on Shannon and Rényi entropies. Karbala Int. J. Mod. Sci. 2018, 4, 134–142. [Google Scholar] [CrossRef]
  90. Olendski, O. Quantum Information Measures of the One-Dimensional Robin Quantum Well. Ann. Phys. 2018, 530, 1700324. [Google Scholar] [CrossRef]
  91. Olendski, O. Rényi and Tsallis entropies: three analytic examples. Eur. J. Phys. 2019, 40, 025402. [Google Scholar] [CrossRef]
  92. Ilić, V.M.; Stanković, M.S. A unified characterization of generalized information and certainty measures. Physica A 2014, 415, 229–239. [Google Scholar] [CrossRef] [Green Version]
  93. Hylleraas, E.A. Über den Grundzustand des Heliumatoms. Z. Phys. 1928, 48, 469–494. [Google Scholar] [CrossRef]
  94. Hylleraas, E.A. Neue Berechnung der Energie des Heliums im Grundzustande, sowie des tiefsten Terms von Ortho-Helium. Z. Phys. 1929, 54, 347–366. [Google Scholar] [CrossRef]
  95. Hylleraas, E.A. Über den Grundterm der Zweielektronenprobleme von H, He, Li+, Be++ usw. Z. Phys. 1930, 65, 209–225. [Google Scholar] [CrossRef]
  96. Löwdin, P.O. Correlation Problem in Many-Electron Quantum Mechanics I. Review of Different Approaches and Discussion of Some Current Ideas. In Advances in Chemical Physics; Prigogine, I., Ed.; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 1958; Volume 2, Chapter 7; pp. 207–322. [Google Scholar] [CrossRef]
  97. Yoshizumi, H. Correlation Problem in Many-Electron Quantum Mechanics. II. Bibliographical Survey of the Historical Development with Comments. In Advances in Chemical Physics; Prigogine, I., Ed.; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 1958; Volume 2, Chapter 8; pp. 323–366. [Google Scholar] [CrossRef]
  98. Parr, R.G.; Yang, W. Density-Functional Theory of Atoms and Molecules; Oxford University Press: Oxford, UK, 1994. [Google Scholar]
  99. Parr, R.G.; Bartolotti, L.J. Some remarks on the density functional theory of few-electron systems. J. Phys. Chem. 1983, 87, 2810–2815. [Google Scholar] [CrossRef]
  100. De Proft, F.; Geerlings, P. Contribution of the shape factor σ(r) to atomic and molecular electronegativities. J. Phys. Chem. A 1997, 101, 5344–5346. [Google Scholar] [CrossRef]
  101. Ayers, P.W.; De Proft, F.; Geerlings, P. Comparison of the utility of the shape function and electron density for predicting periodic properties: Atomic ionization potentials. Phys. Rev. A 2007, 75, 012508. [Google Scholar] [CrossRef]
  102. Ayers, P.W. Density per particle as a descriptor of Coulombic systems. Proc. Natl. Acad. Sci. USA 2000, 97, 1959–1964. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. De Proft, F.; Ayers, P.W.; Sen, K.D.; Geerlings, P. On the importance of the “density per particle” (shape function) in the density functional theory. J. Chem. Phys. 2004, 120, 9969–9973. [Google Scholar] [CrossRef] [PubMed]
  104. Calais, J.L.; Löwdin, P.O. A simple method of treating atomic integrals containing functions of r12. J. Mol. Spectrosc. 1962, 8, 203–211. [Google Scholar] [CrossRef]
  105. Drake, G. High Precision Calculations for Helium. In Springer Handbook of Atomic, Molecular, and Optical Physics; Drake, G., Ed.; Springer: New York, NY, USA, 2006; Chapter 11; pp. 199–219. [Google Scholar] [CrossRef]
  106. Lin, C.H.; Ho, Y.K. Quantification of Entanglement Entropy in Helium by the Schmidt-Slater Decomposition Method. Few-Body Syst. 2014, 55, 1141–1149. [Google Scholar] [CrossRef]
  107. Katriel, J.; Montgomery, H.E.; Sen, K.D. Hund’s rule in the (1s2s)1,3S states of the two-electron Debye atom. Phys. Plasmas 2018, 25, 092111. [Google Scholar] [CrossRef]
  108. Katriel, J.; Montgomery, H.E. Atomic vs. quantum dot open shell spectra. J. Chem. Phys. 2017, 146, 064104. [Google Scholar] [CrossRef]
  109. Sarsa, A.; Buendía, E.; Gálvez, F.; Katriel, J. Singlet vs. triplet interelectronic repulsion in confined atoms. Chem. Phys. Lett. 2018, 702, 106–110. [Google Scholar] [CrossRef]
  110. Angulo, J.C.; Dehesa, J.S. Tight rigorous bounds to atomic information entropies. J. Chem. Phys. 1992, 97, 6485–6495. [Google Scholar] [CrossRef]
  111. Angulo, J.C.; Dehesa, J.S. Erratum: Tight rigorous bounds to atomic information entropies [J. Chem. Phys. 97, 6485 (1992)]. J. Chem. Phys. 1993, 98, 9223. [Google Scholar] [CrossRef]
  112. Tao, J.; Li, G.; Li, J. Bounds to information entropies for atomic systems. J. Chem. Phys. 1997, 107, 1227–1231. [Google Scholar] [CrossRef]
  113. Tao, J.; Li, G.; Li, J. Rigorous bounds to information entropies for atomic systems. Phys. Scr. 1997, 56, 284–288. [Google Scholar] [CrossRef]
  114. Sánchez-Moreno, P.; Zozor, S.; Dehesa, J.S. Upper bounds on Shannon and Rényi entropies for central potentials. J. Math. Phys. 2011, 52, 022105. [Google Scholar] [CrossRef]
  115. Sánchez-Moreno, P.; Zozor, S.; Dehesa, J.S. Rigorous bounds for Rényi entropies of spherically symmetric potentials. AIP Conf. Proc. 2011, 1305, 192–199. [Google Scholar] [CrossRef]
  116. Hornyák, I.; Nagy, Á. Inequalities for phase-space Rényi entropies. Int. J. Quantum Chem. 2012, 112, 1285–1290. [Google Scholar] [CrossRef]
  117. Nahum, A.; Ruhman, J.; Huse, D.A. Dynamics of entanglement and transport in one-dimensional systems with quenched randomness. Phys. Rev. B 2018, 98, 035118. [Google Scholar] [CrossRef] [Green Version]
  118. Barghathi, H.; Herdman, C.; Maestro, A.D. Rényi Generalization of the Accessible Entanglement Entropy. Phys. Rev. Lett. 2018, 121, 150501. [Google Scholar] [CrossRef]
  119. Herdman, C.M.; Roy, P.N.; Melko, R.G.; Maestro, A.D. Entanglement area law in superfluid 4He. Nat. Phys. 2017, 13, 556–558. [Google Scholar] [CrossRef]
  120. Kaufman, A.M.; Tai, M.E.; Lukin, A.; Rispoli, M.; Schittko, R.; Preiss, P.M.; Greiner, M. Quantum thermalization through entanglement in an isolated many-body system. Science 2016, 353, 794–800. [Google Scholar] [CrossRef] [Green Version]
  121. Islam, R.; Ma, R.; Preiss, P.M.; Tai, M.E.; Lukin, A.; Rispoli, M.; Greiner, M. Measuring entanglement entropy in a quantum many-body system. Nature 2015, 528, 77–83. [Google Scholar] [CrossRef]
  122. McMinis, J.; Tubman, N.M. Renyi entropy of the interacting Fermi liquid. Phys. Rev. B 2013, 87, 081108(R). [Google Scholar] [CrossRef]
  123. Lévay, P.; Nagy, S.; Pipek, J. Elementary formula for entanglement entropies of fermionic systems. Phys. Rev. A 2005, 72, 022302. [Google Scholar] [CrossRef] [Green Version]
  124. Rouse, I.; Willitsch, S. Superstatistical Energy Distributions of an Ion in an Ultracold Buffer Gas. Phys. Rev. Lett. 2017, 118, 143401. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Dechant, A.; Kessler, D.A.; Barkai, E. Deviations from Boltzmann-Gibbs Statistics in Confined Optical Lattices. Phys. Rev. Lett. 2015, 115, 173006. [Google Scholar] [CrossRef] [PubMed]
  126. Douglas, P.; Bergamini, S.; Renzoni, F. Tunable Tsallis Distributions in Dissipative Optical Lattices. Phys. Rev. Lett. 2006, 96, 110601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Lutz, E. Anomalous diffusion and Tsallis statistics in an optical lattice. Phys. Rev. A 2003, 67, 051402(R). [Google Scholar] [CrossRef]
  128. Romera, E.; Dehesa, J.S. The Fisher-Shannon information plane, an electron correlation tool. J. Chem. Phys. 2004, 120, 8906–8912. [Google Scholar] [CrossRef] [PubMed]
  129. Sagar, R.P.; Guevara, N.L. Mutual information and correlation measures in atomic systems. J. Chem. Phys. 2005, 123, 044108. [Google Scholar] [CrossRef] [PubMed]
  130. Grassi, A. A relationship between atomic correlation energy and Tsallis entropy. Int. J. Quantum Chem. 2008, 108, 774–778. [Google Scholar] [CrossRef]
  131. Delle Site, L. On the scaling properties of the correlation term of the electron kinetic functional and its relation to the Shannon measure. Europhys. Lett. 2009, 86, 40004. [Google Scholar] [CrossRef]
  132. Delle Site, L. Erratum: On the scaling properties of the correlation term of the electron kinetic functional and its relation to the Shannon measure. Europhys. Lett. 2009, 88, 19901. [Google Scholar] [CrossRef]
  133. Grassi, A. A relationship between atomic correlation energy of neutral atoms and generalized entropy. Int. J. Quantum Chem. 2011, 111, 2390–2397. [Google Scholar] [CrossRef]
  134. Delle Site, L. Shannon entropy and many-electron correlations: Theoretical concepts, numerical results, and Collins conjecture. Int. J. Quantum Chem. 2014, 115, 1396–1404. [Google Scholar] [CrossRef]
  135. Flores-Gallegos, N. Informational energy as a measure of electron correlation. Chem. Phys. Lett. 2016, 666, 62–67. [Google Scholar] [CrossRef]
  136. Alipour, M.; Badooei, Z. Information theoretic approach provides a reliable description for kinetic component of correlation energy density functional. Int. J. Quantum Chem. 2018, 118, e25791. [Google Scholar] [CrossRef]
  137. Collins, D.M. Entropy Maximizations on Electron Density. Z. Naturforsch. A 1993, 48, 68–74. [Google Scholar] [CrossRef]
  138. López-Rosa, S.; Esquivel, R.O.; Plastino, A.R.; Dehesa, J.S. Quantum entanglement of helium-like systems with varying-Z: compact state-of-the-art CI wave functions. J. Phys. B 2015, 48, 175002. [Google Scholar] [CrossRef]
  139. Esquivel, R.O.; López-Rosa, S.; Dehesa, J.S. Correlation energy as a measure of non-locality: Quantum entanglement of helium-like systems. Europhys. Lett. 2015, 111, 40009. [Google Scholar] [CrossRef]
Figure 1. Rényi entropy R α and Tsallis entropy T α of order 0.5 to 9 of 1s2s 1 S e state. Both recover the value of Shannon entropy as order α approaches one. Selected values are in Table 4 and Table 5 and full data are in Tables S1 and S2.
Figure 1. Rényi entropy R α and Tsallis entropy T α of order 0.5 to 9 of 1s2s 1 S e state. Both recover the value of Shannon entropy as order α approaches one. Selected values are in Table 4 and Table 5 and full data are in Tables S1 and S2.
Atoms 07 00070 g001
Figure 2. Tsallis entropy T α and Onicescu informational energy E α O of order 0.50 to 1.50 of 1s2s 1 S e state. The sum of Tsallis entropy and Onicescu Information Energy equals 1 / ( α 1 ) . Selected values are in Table 5 and Table 6 and full data are in Tables S2 and S3.
Figure 2. Tsallis entropy T α and Onicescu informational energy E α O of order 0.50 to 1.50 of 1s2s 1 S e state. The sum of Tsallis entropy and Onicescu Information Energy equals 1 / ( α 1 ) . Selected values are in Table 5 and Table 6 and full data are in Tables S2 and S3.
Atoms 07 00070 g002
Figure 3. Radial probability density σ ( r ) 4 π r 2 for the ground and low-lying singly excited states of helium.
Figure 3. Radial probability density σ ( r ) 4 π r 2 for the ground and low-lying singly excited states of helium.
Atoms 07 00070 g003
Figure 4. (a) Rényi entropy; (b) Tsallis entropy; and (c) Onicescu Information Energy of order 0.5 to 9 for the ground and low-lying singly excited states of helium with size of basis set ω = 15 . Selected values are in Table 4, Table 5 and Table 6. Full data are in Tables S1–S3.
Figure 4. (a) Rényi entropy; (b) Tsallis entropy; and (c) Onicescu Information Energy of order 0.5 to 9 for the ground and low-lying singly excited states of helium with size of basis set ω = 15 . Selected values are in Table 4, Table 5 and Table 6. Full data are in Tables S1–S3.
Atoms 07 00070 g004
Figure 5. Singlet–triplet reversal of Rényi entropy R α , Tsallis entropy T α and Onicescu Information Energy E α O for: (a) 1s2s; and (b) 1s3s configuration.
Figure 5. Singlet–triplet reversal of Rényi entropy R α , Tsallis entropy T α and Onicescu Information Energy E α O for: (a) 1s2s; and (b) 1s3s configuration.
Atoms 07 00070 g005
Table 1. Restrictions on m ,   n and ω .
Table 1. Restrictions on m ,   n and ω .
Spin Multiplicity Of The StateRelation between β 1 and β 2 Restriction on m and n ω Starts from
singlet β 1 β 2
singlet β 1 = β 2 m n ω 0
triplet β 1 β 2
triplet β 1 = β 2 m > n ω 1
Table 2. Variational parameters β 1 and β 2 for the ground and low-lying singly excited states of helium with size of basis set ω = 15 .
Table 2. Variational parameters β 1 and β 2 for the ground and low-lying singly excited states of helium with size of basis set ω = 15 .
State β 1 β 2 State β 1 β 2
1s1s 1 S e 2.002.00
1s2s 1 S e 1.192.801s2s 3 S e 2.090.55
1s3s 1 S e 0.741.941s3s 3 S e 0.781.90
Table 3. Energy E and Shannon entropy S for the ground and low-lying singly excited states of helium with size of basis set ω = 15 .
Table 3. Energy E and Shannon entropy S for the ground and low-lying singly excited states of helium with size of basis set ω = 15 .
StateES
1 s 2 1 S e −2.9037243712.70510285
Drake [105]−2.9037243770341195
Lin and Ho [52]−2.90372437682.7051028
Ou and Ho [11]−2.9037243712.70510285
Restrepo Cuartas and Sanz-Vicario [10]−2.9036052.705
1 s 2 s 1 S e −2.1459740425.49196878
Drake [105]−2.145974046054419(6)
Lin and Ho [106]−2.145974042
Ou and Ho [11]−2.1459740125.49196837
Katriel et al. [107]−2.1459740
Restrepo Cuartas and Sanz-Vicario [10]−2.1459675.492
1 s 2 s 3 S e −2.1752293775.23597814
Drake [105]−2.17522937823679130
Lin and Ho [106]−2.17522937822
Katriel et al. [107]−2.1752294
Restrepo Cuartas and Sanz-Vicario [10]−2.1752295.236
1 s 3 s 1 S e −2.0612719586.76932178
Drake [105]−2.061271989740911(5)
Lin and Ho [106]−2.06127196
Restrepo Cuartas and Sanz-Vicario [10]−2.0612706.769
1 s 3 s 3 S e −2.068 689 0666.605 067 28
Drake [105]−2.068 689 067 472 457 19
Lin and Ho [106]−2.068 689 06
Restrepo Cuartas and Sanz-Vicario [10]−2.068 6896.605
Table 4. Selected values for Rényi entropy of order α ( R α ) for the low-lying singly excited states of helium with size of basis set ω = 15 . Values of R 1 are set to Shannon entropy. Full data are in Table S1.
Table 4. Selected values for Rényi entropy of order α ( R α ) for the low-lying singly excited states of helium with size of basis set ω = 15 . Values of R 1 are set to Shannon entropy. Full data are in Table S1.
α 1s2s1s3s
1 S e 3 S e 1 S e 3 S e
0.57.827360647.375384221.00515457 × 1019.75036390
15.491968785.235978146.769321786.60506728
22.465761262.467736412.513498592.51571175
31.707786501.702788371.740513921.74026803
41.336743861.329418931.365026031.36403409
96.37201665 × 10−16.28474643 × 10−16.60262552 × 10−16.58729039 × 10−1
Table 5. Selected values for Tsallis entropy of order α ( T α ) for low-lying singly excited states of helium with size of basis set ω = 15 . Values of T 1 are set to Shannon entropy. Full data are in Table S2.
Table 5. Selected values for Tsallis entropy of order α ( T α ) for low-lying singly excited states of helium with size of basis set ω = 15 . Values of T 1 are set to Shannon entropy. Full data are in Table S2.
α 1s2s1s3s
1 S e 3 S e 1 S e 3 S e
0.59.81658692 × 1017.79050690 × 1013.02575822 × 1022.59995972 × 102
15.491968785.235978146.769321786.60506728
29.15055847 × 10−19.15223459 × 10−19.19015588 × 10−19.19194622 × 10−1
34.83571213 × 10−14.83406163 × 10−14.84612118 × 10−14.84604549 × 10−1
43.27290267 × 10−13.27156002 × 10−13.27781851 × 10−13.27765306 × 10−1
91.24236085 × 10−11.24180846 × 10−11.24364781 × 10−11.24356940 × 10−1
Table 6. Selected values for Onicescu Information Energy of order α ( E α O ) for low-lying singly excited states of helium with size of basis set ω = 15 . E α O is undefined for α = 1 . Full data are in Table S3.
Table 6. Selected values for Onicescu Information Energy of order α ( E α O ) for low-lying singly excited states of helium with size of basis set ω = 15 . E α O is undefined for α = 1 . Full data are in Table S3.
α 1s2s1s3s
1 S e 3 S e 1 S e 3 S e
0.5−1.00165869 × 102−7.99050690 × 101−3.04575822 × 102−2.61995972 × 102
28.49441529 × 10−28.47765409 × 10−28.09844111 × 10−28.08053779 × 10−2
31.64287869 × 10−21.65938368 × 10−21.53878810 × 10−21.53954502 × 10−2
46.04306538 × 10−36.17733033 × 10−35.55148184 × 10−35.56802665 × 10−3
97.63914364 × 10−48.19153809 × 10−46.35218223 × 10−46.43059145 × 10−4

Share and Cite

MDPI and ACS Style

Ou, J.-H.; Ho, Y.K. Shannon, Rényi, Tsallis Entropies and Onicescu Information Energy for Low-Lying Singly Excited States of Helium. Atoms 2019, 7, 70. https://doi.org/10.3390/atoms7030070

AMA Style

Ou J-H, Ho YK. Shannon, Rényi, Tsallis Entropies and Onicescu Information Energy for Low-Lying Singly Excited States of Helium. Atoms. 2019; 7(3):70. https://doi.org/10.3390/atoms7030070

Chicago/Turabian Style

Ou, Jen-Hao, and Yew Kam Ho. 2019. "Shannon, Rényi, Tsallis Entropies and Onicescu Information Energy for Low-Lying Singly Excited States of Helium" Atoms 7, no. 3: 70. https://doi.org/10.3390/atoms7030070

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop