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Dynamics of dice gamess
Can the dice be fair by dynamics?


           Tomasz Kapitaniak


          Division of Dynamics,
       Technical University of Lodz
Orzeł czy Reszka?

  Tail or Head?

 A Cara o Cruz?

  Pile ou Face?

орeл или решкa?
Ἀριστοτέλης, Aristotélēs


Marble bust of Aristotle. Roman copy after a Greek bronze original by Lysippus c. 330 BC. The alabaster
                                           mantle is modern
DICE
Generally, a die with a shape of convex polyhedron is fair by symmetry
if and only if it is symmetric with respect to all its faces. The polyhedra
with this property are called the isohedra.




          Regular Tetrahedron                  Isosceles Tetrahedron          Scalene Tetrahedron




                 Cube                              Octahedron                Regular Dodecahedron




   Octahedral Pentagonal Dodecahedron
                                        Tetragonal Pentagonal Dodecahedron   Rhombic Dodecahedron
Trapezoidal Dodecahedron          Triakis Tetrahedron        Regular Icosahedron




   Hexakis Tetrahedron            Tetrakis Hexahedron         Triakis Octahedron




Trapezoidal Icositetrahedron   Pentagonal Icositetrahedron   Dyakis Dodecahedron




 Rhombic Triacontahedron          Hexakis Octahedron         Triakis Icosahedron
Pentakis Dodecahedron          Trapezoidal Hexecontahedron      Pentagonal Hexecontahedron




     Hexakis Icosahedron             Triangular Dihedron            Basic Triangular Dihedron
         120 sides               Move points up/down - 4N sides              2N sides




                                  Basic Trigonal Trapezohedron
                                 Sides have symmetry -- 2N Sides      Triangular Dihedron
   Trigonal Trapezohedron                                          Move points in/out - 4N sides
Asymmetrical sides -- 2N Sides
GEROLAMO CARDANO (1501-1576)
Galileo Galilei (1564-1642)
Christian Huygens (1625-1695)
Joe Keller




Persi Diaconis
Keller’s model – free fall of the coin




Joseph B. Keller, “The Probability of Heads,” The American Mathematical Monthly,
                                   93: 191-197, 1986.
3D model of the coin
Contact models
Free fall of the coin: (a) ideal 3D, (b) imperfect 3D, (c) ideal 2D, (d) imperfect 2D.
Trajectories of the center of the mass of different coin models
Trajectories of the center of the mass for different initial conditions
Basins of attraction
Definition 1. The die throw is predictable if for almost all initial
conditions x0 there exists an open set U (x0 ϵ U) which is mapped
into the given final configuration.

Assume that the initial condition x0 is set with the inaccuracy є.
Consider a ball B centered at x0 with a radius є. Definition 1 implies
that if B ϲ U then randomizer is predictable.

Definition 2. The die throw is fair by dynamics if in the
neighborhood of any initial condition leading to one of the n final
configurations F1,...,Fi,...,Fn, where i=1,...,n, there are sets of points
β(F1),...,β(Fi),...,β(Fn), which lead to all other possible configurations
and a measures of sets β(Fi) are equal.

Definition 2 implies that for the infinitely small inaccuracy of the
initial conditions all final configurations are equally probable.
How chaotic is the coin toss ?



(a)                  (b)
ωη 0 [rad/s]   tetrahedron   cube    octahedron icosehedron
     0           0.393       0.217     0.212      0.117
    10           0.341       0.142     0.133      0.098
    20           0.282       0.101     0.081      0.043
    30           0.201       0.085     0.068      0.038
    40           0.092       0.063     0.029      0.018
    50           0.073       0.022     0.024      0.012
   100           0.052       0.013     0.015      0.004
   200           0.009       0.008     0.007      0.002
   300           0.005       0.005     0.003      0.001
  1000           0.003       0.002     0.001      0.000
In the early years of the previous century there was a general conviction
that the laws of the universe were completely deterministic. The
development of the quantum mechanics, originating with the work of
such physicists as Max Planck, Albert Einstein and Louis de Broglie
change the Laplacian conception of the laws of nature as for the
quantum phenomena the stochastic description is not just a handy trick,
but an absolute necessity imposed by their intrinsically random nature.

Currently the vast majority of the scientists supports the vision of a
universe where random events of objective nature exist. Contradicting
Albert Einstein's famous statement it seems that God Plays dice after all.
But going back to mechanical randonizers where quantum phenomena
have at most negligible effect we can say that:

God does not play dice in the casinos !
Главная / Новости науки
                    Выпадение орла или решки можно точно предсказать




Actualité : Pile ou face : pas tant de
                hasard
Dynamics of Gambling: Origins of Randomness in Mechanical Systems;
Lecture Notes in Physics, Vol. 792, Springer 2010 – 48.00 Euro only !!



 _________________
This monograph presents a concise discussion of the dynamics of
mechanical randomizers (coin tossing, die throw and roulette). The
authors derive the equations of motion, also describing collisions and
body contacts. It is shown and emphasized that, from the dynamical
point of view, outcomes are predictable, i.e. if an experienced player can
reproduce initial conditions with a small finite uncertainty, there is a
good chance that the desired final state will be obtained. Finally, readers
learn why mechanical randomizers can approximate random processes
and benefit from a discussion of the nature of randomness in mechanical
systems. In summary, the book not only provides a general analysis of
random effects in mechanical (engineering) systems, but addresses deep
questions concerning the nature of randomness, and gives potentially
useful tips for gamblers and the gaming industry.
 _________________
Thank you
We are not responsible for what you lose in the casino!

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Dynamics of dice games

  • 1. Dynamics of dice gamess Can the dice be fair by dynamics? Tomasz Kapitaniak Division of Dynamics, Technical University of Lodz
  • 2.
  • 3. Orzeł czy Reszka? Tail or Head? A Cara o Cruz? Pile ou Face? орeл или решкa?
  • 4. Ἀριστοτέλης, Aristotélēs Marble bust of Aristotle. Roman copy after a Greek bronze original by Lysippus c. 330 BC. The alabaster mantle is modern
  • 6. Generally, a die with a shape of convex polyhedron is fair by symmetry if and only if it is symmetric with respect to all its faces. The polyhedra with this property are called the isohedra. Regular Tetrahedron Isosceles Tetrahedron Scalene Tetrahedron Cube Octahedron Regular Dodecahedron Octahedral Pentagonal Dodecahedron Tetragonal Pentagonal Dodecahedron Rhombic Dodecahedron
  • 7. Trapezoidal Dodecahedron Triakis Tetrahedron Regular Icosahedron Hexakis Tetrahedron Tetrakis Hexahedron Triakis Octahedron Trapezoidal Icositetrahedron Pentagonal Icositetrahedron Dyakis Dodecahedron Rhombic Triacontahedron Hexakis Octahedron Triakis Icosahedron
  • 8. Pentakis Dodecahedron Trapezoidal Hexecontahedron Pentagonal Hexecontahedron Hexakis Icosahedron Triangular Dihedron Basic Triangular Dihedron 120 sides Move points up/down - 4N sides 2N sides Basic Trigonal Trapezohedron Sides have symmetry -- 2N Sides Triangular Dihedron Trigonal Trapezohedron Move points in/out - 4N sides Asymmetrical sides -- 2N Sides
  • 9.
  • 14. Keller’s model – free fall of the coin Joseph B. Keller, “The Probability of Heads,” The American Mathematical Monthly, 93: 191-197, 1986.
  • 15. 3D model of the coin
  • 17. Free fall of the coin: (a) ideal 3D, (b) imperfect 3D, (c) ideal 2D, (d) imperfect 2D.
  • 18. Trajectories of the center of the mass of different coin models
  • 19. Trajectories of the center of the mass for different initial conditions
  • 20.
  • 22.
  • 23. Definition 1. The die throw is predictable if for almost all initial conditions x0 there exists an open set U (x0 ϵ U) which is mapped into the given final configuration. Assume that the initial condition x0 is set with the inaccuracy є. Consider a ball B centered at x0 with a radius є. Definition 1 implies that if B ϲ U then randomizer is predictable. Definition 2. The die throw is fair by dynamics if in the neighborhood of any initial condition leading to one of the n final configurations F1,...,Fi,...,Fn, where i=1,...,n, there are sets of points β(F1),...,β(Fi),...,β(Fn), which lead to all other possible configurations and a measures of sets β(Fi) are equal. Definition 2 implies that for the infinitely small inaccuracy of the initial conditions all final configurations are equally probable.
  • 24.
  • 25. How chaotic is the coin toss ? (a) (b)
  • 26.
  • 27.
  • 28.
  • 29.
  • 30. ωη 0 [rad/s] tetrahedron cube octahedron icosehedron 0 0.393 0.217 0.212 0.117 10 0.341 0.142 0.133 0.098 20 0.282 0.101 0.081 0.043 30 0.201 0.085 0.068 0.038 40 0.092 0.063 0.029 0.018 50 0.073 0.022 0.024 0.012 100 0.052 0.013 0.015 0.004 200 0.009 0.008 0.007 0.002 300 0.005 0.005 0.003 0.001 1000 0.003 0.002 0.001 0.000
  • 31. In the early years of the previous century there was a general conviction that the laws of the universe were completely deterministic. The development of the quantum mechanics, originating with the work of such physicists as Max Planck, Albert Einstein and Louis de Broglie change the Laplacian conception of the laws of nature as for the quantum phenomena the stochastic description is not just a handy trick, but an absolute necessity imposed by their intrinsically random nature. Currently the vast majority of the scientists supports the vision of a universe where random events of objective nature exist. Contradicting Albert Einstein's famous statement it seems that God Plays dice after all. But going back to mechanical randonizers where quantum phenomena have at most negligible effect we can say that: God does not play dice in the casinos !
  • 32.
  • 33. Главная / Новости науки Выпадение орла или решки можно точно предсказать Actualité : Pile ou face : pas tant de hasard
  • 34.
  • 35. Dynamics of Gambling: Origins of Randomness in Mechanical Systems; Lecture Notes in Physics, Vol. 792, Springer 2010 – 48.00 Euro only !! _________________ This monograph presents a concise discussion of the dynamics of mechanical randomizers (coin tossing, die throw and roulette). The authors derive the equations of motion, also describing collisions and body contacts. It is shown and emphasized that, from the dynamical point of view, outcomes are predictable, i.e. if an experienced player can reproduce initial conditions with a small finite uncertainty, there is a good chance that the desired final state will be obtained. Finally, readers learn why mechanical randomizers can approximate random processes and benefit from a discussion of the nature of randomness in mechanical systems. In summary, the book not only provides a general analysis of random effects in mechanical (engineering) systems, but addresses deep questions concerning the nature of randomness, and gives potentially useful tips for gamblers and the gaming industry. _________________
  • 36.
  • 37. Thank you We are not responsible for what you lose in the casino!