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TESTING THE
GOODNESS OF
APPROXIMATE
STATIONARY STATES
TANOY DUTTA
UNIVERSITY OF CALCUTTA
THE USUAL APPROACH
The possible ways are:
๏ต Take the known function ๐›น and calculate the energy E
and < ๐ด >
๏ต Take the trial function ๐œ™ and calculate average energy
<E> and < A>
๏ต Compare these results
๏ต Idea is to compare all such average properties.
๏ต We take for simplicity ๐’™ 2=A
๏ต Also, compute < ๐œ™ ฮจ > |2
SAMPLE RESULTS
The particle in a box
๏ต The exact wave-functions that were,
1. ฮจ1 = โˆš
2
๐ฟ
sin
๐œ‹๐‘ฅ
๐ฟ
2. ฮจ2 = โˆš
2
๐ฟ
sin
2๐œ‹๐‘ฅ
๐ฟ
3. ฮจ3 = โˆš
2
๐ฟ
sin
3๐œ‹๐‘ฅ
๐ฟ
For the known functions the results are
Wave-function Exact
Energy(E)
< ๐’™ 2 >
ฮจ1 9.869/๐ฟ2
0.2826 ๐ฟ2
ฮจ2 39.478/๐ฟ2 0.3206 ๐ฟ2
ฮจ3 88.826/๐ฟ2 0.3277 ๐ฟ2
SAMPLE RESULTS
The particle in a box
The trial functions that were taken
1. ๐œ™ 1 = N๐‘ฅ ๐ฟ โˆ’ ๐‘ฅ
2. ๐œ™ 2 = N ๐‘ฅ
๐ฟ
2
โˆ’ ๐‘ฅ ๐ฟ โˆ’ ๐‘ฅ
3. ๐œ™ 3 = N ๐‘ฅ
๐ฟ
3
โˆ’ ๐‘ฅ
2๐ฟ
3
โˆ’ ๐‘ฅ ๐ฟ โˆ’ ๐‘ฅ
๏ต For the trial functions the results are
Wave-
function
Average
Energy(<E>)
< ๐’™ 2>
๐œ™1 10/๐ฟ2 0.2857 ๐ฟ2
๐œ™2 42/๐ฟ2 0.3333 ๐ฟ2
๐œ™3 100/๐ฟ2
0.3636 ๐ฟ2
PIB RESULTS
Comparison % Error in Energy % Error in โ€น x2โ€บ
ฮจ1 vs. ๐œ™1 1.31 1.085
ฮจ2 vs. ๐œ™2 6.003 3.81
ฮจ3 vs. ๐œ™3 11.17 10.95
SAMPLE RESULTS
The harmonic oscillator
The exact wave-functions that were,
ฮจ0 = (
1
๐œ‹
) ยผ ๐‘’โˆ’
๐‘ฅ2
2
ฮจ1 = (
4
๐œ‹
) ยผ ๐‘ฅ๐‘’โˆ’
๐‘ฅ2
2
For the known functions the results are
Wave-function Exact Energy(E)
ฮจ0
1
ฮจ1
3
SAMPLE RESULTS
The harmonic oscillator
The trial functions that were taken
๐œ™ 0 = N (A2 โ€“ x2)
๐œ™ 1 = N x (A2 โ€“ x2)
For the trial functions the results are
Wave-function Average Energy(<E>)
๐œ™0 1.1952
๐œ™1 3.7416
HO RESULTS
Competing
functions
% Error in Energy
ฮจ0 vs. ๐œ™0 16.33
ฮจ1 vs. ๐œ™1 19.82
USE OF OVERLAP: THE HYDROGEN ATOM
AND STOs
Slater Type Orbitals(STO)
1. ๐›น1๐‘  =
1
๐œ‹
๐‘’โˆ’๐‘Ÿ
2. ๐›น2๐‘  =
1
4 2๐œ‹
(2 โˆ’ ๐‘Ÿ)๐‘’โˆ’
๐‘Ÿ
2
Advantages
๏ต Probability of finding the electron near the nucleus is faithfully
represented.
Disadvantages
๏ต Three and four center integrals cannot be performed analytically.
๏ต No radial nodes. These can be introduced by making linear
combinations of STOs
๏ต Does not ensure rapid convergence with increasing number of
functions.
THE HYDROGEN ATOM: GTOs
Gaussian Type Orbitals(GTO)
๏ต Introduced by Boys (1950)
๏ต ฮฑ is a constant (called exponent) that determines the size (radial extent)
of the function
๏ต The normalized 1s Gaussian-type function is,
๐œ™1๐‘ 
๐บ๐น
(๐›ผ, r) = (
2๐›ผ
๐œ‹
)
3
4 ๐‘’โˆ’๐›ผ๐‘Ÿ2
GTOs are inferior to STOs in these ways:
๏ต GTOโ€™s behavior near the nucleus is poorly represented. GTOs diminish
too rapidly with distance.
๏ต The โ€˜tailโ€™ behavior is poorly represented.
Advantage
๏ต GTOs are computationally advantageous.
Therefore, we use a linear combination of GTOs to overcome
these deficiencies. Overlap is here the key.
LINEAR COMBINATION OF GTOs
Contracted Gaussian functions:
๏ต Need for using better basis functions
๏ต Fixed linear combinations of primitive Gaussian functions-- Contracted
Gaussian functions
๏ต We use the following basis functions for further calculation
๐œ™1๐‘ 
๐ถ๐บ๐น
(ฮถ =1.0, STO-1G) = ๐œ™1๐‘ 
๐บ๐น
๐›ผ11
๐œ™1๐‘ 
๐ถ๐บ๐น
(ฮถ =1.0, STO-2G) =๐‘12 ๐œ™1๐‘ 
๐บ๐น
(๐›ผ12) + ๐‘22 ๐œ™1๐‘ 
๐บ๐น
(๐›ผ22)
๐œ™1๐‘ 
๐ถ๐บ๐น
(ฮถ =1.0, STO-3G) =๐‘13 ๐œ™1๐‘ 
๐บ๐น
(๐›ผ13) + ๐‘23 ๐œ™1๐‘ 
๐บ๐น
(๐›ผ23) + ๐‘33 ๐œ™1๐‘ 
๐บ๐น
(๐›ผ33)
THE OVERLAP BETWEEN 1s-SLATER & CGFโ€™s
1s Basis Functions Overlap
STO-1G 0.978400
STO-2G 0.998420
STO-3G 0.999907
Standard textbook stuff
THE OVERLAP BETWEEN 2s-SLATER & CGFs
2s Basis Functions Overlap
STO-1G 0.89664340
STO-2G 0.94512792
STO-3G 0.95788308
Our observation
THE MOTIVATION: NEED FOR A
DIFFERENT APPROACH
๏ต Standard schemes require exact ๐›น and E
๏ต Errors are measured โ€˜on averageโ€™ (integration process)
๏ต Knowledge of excited ๐›น is difficult to gather
๏ต Necessity of employing some kind of self-check process
๏ต No need of any knowledge of exact function or its
property
A SELF-ASSESSMENT POLICY
What we do actually
๏ต TISE: ฮจโ€ณ
= (๐‘‰ โˆ’ ๐ธ)ฮจ
๏ต Assume: ๐œ™โ€ฒโ€ฒ
โ‰ˆ (๐‘‰ โˆ’< ๐ธ >)๐œ™
๏ต Differentiate once more: ๐œ™โ€ฒโ€ฒโ€ฒ
โ‰ˆ ๐‘‰ โˆ’< ๐ธ > ๐œ™โ€ฒ
+
๐‘‰โ€ฒ๐œ™
๏ต Check the nodes, boundaries, origin and
minima/maxima.
SAP Contd.
๏ต Where V(x)=0, โˆ’๐œ™โ€ฒโ€ฒ
/(๐œ™ < ๐ธ >) โ‰ˆ1. Not
applicable to box and any odd states for symmetric
potentials.
๏ต At nodes,
๐œ™โ€ฒโ€ฒโ€ฒ
๐œ™โ€ฒ(๐‘‰โˆ’<๐ธ>)
โ‰ˆ 1
๏ต At boundaries, โˆ’
๐œ™โ€ฒโ€ฒโ€ฒ
๐œ™โ€ฒ<๐ธ>
โ‰ˆ1 (only for the box
system)
๏ต At minima/maxima,
๐œ™โ€ฒโ€ฒโ€ฒ
๐œ™ ๐‘‰โ€ฒ โ‰ˆ1
๏ต Judge the goodness using these relations
PERFORMANCE
The PIB and harmonic oscillator
Taking the same trial functions mentioned before, for PIB,
For harmonic oscillator,
Wave-
function
โˆ’
๐“โ€ฒโ€ฒโ€ฒ
๐“โ€ฒ<๐‘ฌ>
at node
% Error
โˆ’
๐“โ€ฒโ€ฒโ€ฒ
๐“โ€ฒ<๐‘ฌ>
at boundaries
% Error
๐œ™1 --- --- --- ---
๐œ™2 0.57143 0.42857 - 0.28571 128.57
๐œ™3 0.54 0.46 -0.54 154.00
Wave-function
โˆ’
๐“โ€ฒโ€ฒโ€ฒ
๐“โ€ฒ<๐‘ฌ>
at node
% Error
๐“ ๐Ÿ 0.2857 71.43
PERFORMANCE
The anharmonic oscillators
๏ต V = x2 + x4 state = even 4th lowest
Potential Basis ๐ฟ ๐‘œ๐‘๐‘ก <E> % error
in <E>
<x2> % Error
in <x2>๏ฌ1 ๏ฌ2
1 1 6
8
10
12
2.8639
3.0964
3.6172
3.6772
28.845714
28.835718
28.8353399
28.8353385
0.03598
0.00132
0.000021
0.00
2.267767
2.261797
2.261703
2.26170396
0.26807
0.00411
0.000042
0.00
Usual strategy
PERFORMANCE
The anharmonic oscillators
๏ต V = x2 + x4 state = even 4th lowest
Potential Basis Node at % error Node at % Error Node at % Error
๏ฌ1 ๏ฌ2
1 1 6
8
10
12
ยฑ0.2925
ยฑ0.2923
ยฑ0.2926
ยฑ0.29255
1.97 ร— 10โˆ’3
5.10 ร— 10โˆ’3
3.8 ร— 10โˆ’4
6.6 ร— 10โˆ’6
ยฑ0.8835
ยฑ0.8826
ยฑ0.8827
ยฑ0.88276
2.17 ร— 10โˆ’2
7.8 ร— 10โˆ’3
1.02 ร— 10โˆ’3
2.6 ร— 10โˆ’5
ยฑ1.5098
ยฑ1.5082
ยฑ1.5079
ยฑ1.50788
5.4 ร— 10โˆ’3
4.9 ร— 10โˆ’4
1.6 ร— 10โˆ’3
9.1 ร— 10โˆ’5
Our strategy
CONCLUSION
๏ต We have introduced certain criteria to judge the quality
of an optimized approximate stationary state.
๏ต The criteria do not require any knowledge of exact
function or energy.
๏ต This self-check is more useful for higher excited states.
๏ต Our equations reduce to exactness as ๐œ™ โ†’ ๐›น.
ACKNOWLEDGEMENTS
Prof. Kamal Bhattacharya
Department of Chemistry
University of Calcutta
Kolkata
THANK YOU

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Presentation

  • 1. TESTING THE GOODNESS OF APPROXIMATE STATIONARY STATES TANOY DUTTA UNIVERSITY OF CALCUTTA
  • 2. THE USUAL APPROACH The possible ways are: ๏ต Take the known function ๐›น and calculate the energy E and < ๐ด > ๏ต Take the trial function ๐œ™ and calculate average energy <E> and < A> ๏ต Compare these results ๏ต Idea is to compare all such average properties. ๏ต We take for simplicity ๐’™ 2=A ๏ต Also, compute < ๐œ™ ฮจ > |2
  • 3. SAMPLE RESULTS The particle in a box ๏ต The exact wave-functions that were, 1. ฮจ1 = โˆš 2 ๐ฟ sin ๐œ‹๐‘ฅ ๐ฟ 2. ฮจ2 = โˆš 2 ๐ฟ sin 2๐œ‹๐‘ฅ ๐ฟ 3. ฮจ3 = โˆš 2 ๐ฟ sin 3๐œ‹๐‘ฅ ๐ฟ For the known functions the results are Wave-function Exact Energy(E) < ๐’™ 2 > ฮจ1 9.869/๐ฟ2 0.2826 ๐ฟ2 ฮจ2 39.478/๐ฟ2 0.3206 ๐ฟ2 ฮจ3 88.826/๐ฟ2 0.3277 ๐ฟ2
  • 4. SAMPLE RESULTS The particle in a box The trial functions that were taken 1. ๐œ™ 1 = N๐‘ฅ ๐ฟ โˆ’ ๐‘ฅ 2. ๐œ™ 2 = N ๐‘ฅ ๐ฟ 2 โˆ’ ๐‘ฅ ๐ฟ โˆ’ ๐‘ฅ 3. ๐œ™ 3 = N ๐‘ฅ ๐ฟ 3 โˆ’ ๐‘ฅ 2๐ฟ 3 โˆ’ ๐‘ฅ ๐ฟ โˆ’ ๐‘ฅ ๏ต For the trial functions the results are Wave- function Average Energy(<E>) < ๐’™ 2> ๐œ™1 10/๐ฟ2 0.2857 ๐ฟ2 ๐œ™2 42/๐ฟ2 0.3333 ๐ฟ2 ๐œ™3 100/๐ฟ2 0.3636 ๐ฟ2
  • 5. PIB RESULTS Comparison % Error in Energy % Error in โ€น x2โ€บ ฮจ1 vs. ๐œ™1 1.31 1.085 ฮจ2 vs. ๐œ™2 6.003 3.81 ฮจ3 vs. ๐œ™3 11.17 10.95
  • 6. SAMPLE RESULTS The harmonic oscillator The exact wave-functions that were, ฮจ0 = ( 1 ๐œ‹ ) ยผ ๐‘’โˆ’ ๐‘ฅ2 2 ฮจ1 = ( 4 ๐œ‹ ) ยผ ๐‘ฅ๐‘’โˆ’ ๐‘ฅ2 2 For the known functions the results are Wave-function Exact Energy(E) ฮจ0 1 ฮจ1 3
  • 7. SAMPLE RESULTS The harmonic oscillator The trial functions that were taken ๐œ™ 0 = N (A2 โ€“ x2) ๐œ™ 1 = N x (A2 โ€“ x2) For the trial functions the results are Wave-function Average Energy(<E>) ๐œ™0 1.1952 ๐œ™1 3.7416
  • 8. HO RESULTS Competing functions % Error in Energy ฮจ0 vs. ๐œ™0 16.33 ฮจ1 vs. ๐œ™1 19.82
  • 9. USE OF OVERLAP: THE HYDROGEN ATOM AND STOs Slater Type Orbitals(STO) 1. ๐›น1๐‘  = 1 ๐œ‹ ๐‘’โˆ’๐‘Ÿ 2. ๐›น2๐‘  = 1 4 2๐œ‹ (2 โˆ’ ๐‘Ÿ)๐‘’โˆ’ ๐‘Ÿ 2 Advantages ๏ต Probability of finding the electron near the nucleus is faithfully represented. Disadvantages ๏ต Three and four center integrals cannot be performed analytically. ๏ต No radial nodes. These can be introduced by making linear combinations of STOs ๏ต Does not ensure rapid convergence with increasing number of functions.
  • 10. THE HYDROGEN ATOM: GTOs Gaussian Type Orbitals(GTO) ๏ต Introduced by Boys (1950) ๏ต ฮฑ is a constant (called exponent) that determines the size (radial extent) of the function ๏ต The normalized 1s Gaussian-type function is, ๐œ™1๐‘  ๐บ๐น (๐›ผ, r) = ( 2๐›ผ ๐œ‹ ) 3 4 ๐‘’โˆ’๐›ผ๐‘Ÿ2 GTOs are inferior to STOs in these ways: ๏ต GTOโ€™s behavior near the nucleus is poorly represented. GTOs diminish too rapidly with distance. ๏ต The โ€˜tailโ€™ behavior is poorly represented. Advantage ๏ต GTOs are computationally advantageous. Therefore, we use a linear combination of GTOs to overcome these deficiencies. Overlap is here the key.
  • 11. LINEAR COMBINATION OF GTOs Contracted Gaussian functions: ๏ต Need for using better basis functions ๏ต Fixed linear combinations of primitive Gaussian functions-- Contracted Gaussian functions ๏ต We use the following basis functions for further calculation ๐œ™1๐‘  ๐ถ๐บ๐น (ฮถ =1.0, STO-1G) = ๐œ™1๐‘  ๐บ๐น ๐›ผ11 ๐œ™1๐‘  ๐ถ๐บ๐น (ฮถ =1.0, STO-2G) =๐‘12 ๐œ™1๐‘  ๐บ๐น (๐›ผ12) + ๐‘22 ๐œ™1๐‘  ๐บ๐น (๐›ผ22) ๐œ™1๐‘  ๐ถ๐บ๐น (ฮถ =1.0, STO-3G) =๐‘13 ๐œ™1๐‘  ๐บ๐น (๐›ผ13) + ๐‘23 ๐œ™1๐‘  ๐บ๐น (๐›ผ23) + ๐‘33 ๐œ™1๐‘  ๐บ๐น (๐›ผ33)
  • 12. THE OVERLAP BETWEEN 1s-SLATER & CGFโ€™s 1s Basis Functions Overlap STO-1G 0.978400 STO-2G 0.998420 STO-3G 0.999907 Standard textbook stuff
  • 13. THE OVERLAP BETWEEN 2s-SLATER & CGFs 2s Basis Functions Overlap STO-1G 0.89664340 STO-2G 0.94512792 STO-3G 0.95788308 Our observation
  • 14. THE MOTIVATION: NEED FOR A DIFFERENT APPROACH ๏ต Standard schemes require exact ๐›น and E ๏ต Errors are measured โ€˜on averageโ€™ (integration process) ๏ต Knowledge of excited ๐›น is difficult to gather ๏ต Necessity of employing some kind of self-check process ๏ต No need of any knowledge of exact function or its property
  • 15. A SELF-ASSESSMENT POLICY What we do actually ๏ต TISE: ฮจโ€ณ = (๐‘‰ โˆ’ ๐ธ)ฮจ ๏ต Assume: ๐œ™โ€ฒโ€ฒ โ‰ˆ (๐‘‰ โˆ’< ๐ธ >)๐œ™ ๏ต Differentiate once more: ๐œ™โ€ฒโ€ฒโ€ฒ โ‰ˆ ๐‘‰ โˆ’< ๐ธ > ๐œ™โ€ฒ + ๐‘‰โ€ฒ๐œ™ ๏ต Check the nodes, boundaries, origin and minima/maxima.
  • 16.
  • 17. SAP Contd. ๏ต Where V(x)=0, โˆ’๐œ™โ€ฒโ€ฒ /(๐œ™ < ๐ธ >) โ‰ˆ1. Not applicable to box and any odd states for symmetric potentials. ๏ต At nodes, ๐œ™โ€ฒโ€ฒโ€ฒ ๐œ™โ€ฒ(๐‘‰โˆ’<๐ธ>) โ‰ˆ 1 ๏ต At boundaries, โˆ’ ๐œ™โ€ฒโ€ฒโ€ฒ ๐œ™โ€ฒ<๐ธ> โ‰ˆ1 (only for the box system) ๏ต At minima/maxima, ๐œ™โ€ฒโ€ฒโ€ฒ ๐œ™ ๐‘‰โ€ฒ โ‰ˆ1 ๏ต Judge the goodness using these relations
  • 18. PERFORMANCE The PIB and harmonic oscillator Taking the same trial functions mentioned before, for PIB, For harmonic oscillator, Wave- function โˆ’ ๐“โ€ฒโ€ฒโ€ฒ ๐“โ€ฒ<๐‘ฌ> at node % Error โˆ’ ๐“โ€ฒโ€ฒโ€ฒ ๐“โ€ฒ<๐‘ฌ> at boundaries % Error ๐œ™1 --- --- --- --- ๐œ™2 0.57143 0.42857 - 0.28571 128.57 ๐œ™3 0.54 0.46 -0.54 154.00 Wave-function โˆ’ ๐“โ€ฒโ€ฒโ€ฒ ๐“โ€ฒ<๐‘ฌ> at node % Error ๐“ ๐Ÿ 0.2857 71.43
  • 19. PERFORMANCE The anharmonic oscillators ๏ต V = x2 + x4 state = even 4th lowest Potential Basis ๐ฟ ๐‘œ๐‘๐‘ก <E> % error in <E> <x2> % Error in <x2>๏ฌ1 ๏ฌ2 1 1 6 8 10 12 2.8639 3.0964 3.6172 3.6772 28.845714 28.835718 28.8353399 28.8353385 0.03598 0.00132 0.000021 0.00 2.267767 2.261797 2.261703 2.26170396 0.26807 0.00411 0.000042 0.00 Usual strategy
  • 20. PERFORMANCE The anharmonic oscillators ๏ต V = x2 + x4 state = even 4th lowest Potential Basis Node at % error Node at % Error Node at % Error ๏ฌ1 ๏ฌ2 1 1 6 8 10 12 ยฑ0.2925 ยฑ0.2923 ยฑ0.2926 ยฑ0.29255 1.97 ร— 10โˆ’3 5.10 ร— 10โˆ’3 3.8 ร— 10โˆ’4 6.6 ร— 10โˆ’6 ยฑ0.8835 ยฑ0.8826 ยฑ0.8827 ยฑ0.88276 2.17 ร— 10โˆ’2 7.8 ร— 10โˆ’3 1.02 ร— 10โˆ’3 2.6 ร— 10โˆ’5 ยฑ1.5098 ยฑ1.5082 ยฑ1.5079 ยฑ1.50788 5.4 ร— 10โˆ’3 4.9 ร— 10โˆ’4 1.6 ร— 10โˆ’3 9.1 ร— 10โˆ’5 Our strategy
  • 21.
  • 22. CONCLUSION ๏ต We have introduced certain criteria to judge the quality of an optimized approximate stationary state. ๏ต The criteria do not require any knowledge of exact function or energy. ๏ต This self-check is more useful for higher excited states. ๏ต Our equations reduce to exactness as ๐œ™ โ†’ ๐›น.
  • 23. ACKNOWLEDGEMENTS Prof. Kamal Bhattacharya Department of Chemistry University of Calcutta Kolkata