Scale relativity (SR) developed by Nottale based on the extension of the principle relativity as follows “the fundamental laws of nature apply whatever the state of scale of the coordinate system”      . The observation resolutions now characterize the reference system and can be defined only in relative way. This major concept of SR leads to giving up hypothesis of differentiability of space-time. Quantum mechanics can then be reformulated from this basic principle of SR form of covariance and geodesic equations, by considering a particle as a geodesics in now fractal space-time. There are at least three major fields of application for SR method, microphysics, complex systems and cosmology      .
As far as quantum mechanics is concerned, Nottale and co-workers were able to apply the theory to solve many problems, especially those related to the conceptual and interpretation aspects. The derivation of the postulates of quantum mechanics from basic principle of SR  , is basis of the present work. It shows that quantum mechanical behavior appears without any use of the Schrodinger equation, but as a consequence of the fractality of space-time. The extension of the SR theory to the derivation of the main equations of relativistic quantum mechanics  and the relationship between the classical and quantum regimes  have been also discussed on the basis of the SR among other important consequences and implications. With all these far reaching aspects of the theory, direct investigations which would shed light on the basic workings of the SR method as formulated by Nottale seem to be warranted.
The fractional equations of motion which are obtained from application of SR, were applied directly by Hermann  , in terms of a large number of explicit numerically simulated trajectories for a free particle in an infinite one-dimensional box    . Similarly, Al-Rashid    , applied SR to the finite one-dimensional square well potential and special case in a double oscillator problems.
The validity of SR not restricted to the cases by Hermann  and Alrashid    . Besides, such applications are expected to reveal some novel concepts, such as the connection between SR and the Riccati equation    as revealed in the present work.
In this paper, the problem of a particle moving in one dimensional SHO will be treated by applying the principle of SR along the lines of Hermann. To the best of our knowledge, this problem has not been treated by using Hermann line elsewhere   .
2. Equation of Motion
One may start with the complex Newton Equation   :
where u is a scalar potential and V is a complex velocity, then separate this equation into real and imaginary parts:
Here, the average classical velocity V is expected to be zero because the simple harmonic oscillator is a symmetric system. Then, the equations of motion can be reduced as   :
where U is the imaginary part of complex velocity and D is the diffusion coefficient. Equation (4) shows that U is a function of x alone. The potential of the
one-dimensional SHO can be written as , where ω is the angular frequency. Then, Equation (3) becomes:
Integrating and rearranging terms in the resulting equation, one obtains:
where c1 is a constant of integration. Letting (as in Hermann’s work)  , then Equation (6) becomes:
where . The last equation has the form of a Riccati equation  
   . To solve this equation, one may trans-form it into a 2nd order differential equation of the form      :
and is an arbitrary function of x. From this Equation (7), it follow that:
Then, Equation (7) becomes:
Its solution is:
where An is a constant and Hn is a Hermite polynomial of order n and . Then, Un(x) is given by:
Using the equality then, Equation (13) becomes:
As in Hermann work  , U(x) is treated as a difference of velocities, i.e., it is a kind of acceleration. Thus, the equation of position coordinate has the following form, which is a stochastic process:
where is now Gaussian random variable of standard deviation .
3. Numerical Simulations
Equation (15) represents a stochastic process  . Here, in the problem of a one-dimensional SHO, it was found that the assumption 2Ddt = 1 is not useful for the present simulations since it gives bad results for the present application. Then, one starts to adjust the value of dt until one approaches a specific value for
which meaningful results are obtained. It was found that a value of
is suitable for the present simulations. It seems that this value of dt is related to the period of the motion in the SHO potential. It is expected that a suitable value which gives meaningful numerical simulation results is that which leads to a sufficient number of time steps during one period so as to give meaningful counts. This is a consequence of the statistical nature of these simulations which requires better statistics to be meaningful. Then, Equation (15) becomes:
where the choice of units was made such that .
A computer program was written (see Appendix A), following Hermann’s procedure  , to make numerical simulations for the SHO problem. Numerical simulations are performed using Equation (16) which represent trajectory equations of the particle for different different values of the quantum number n (n = 0, 1, 2, 3, 4 and 5). The output of these simulations gives the probability density ƒ(x) of the particle in simple harmonic oscillator potential. To construct it, one may divide the region into 601 pieces (bins), which gives the best results and time steps (cc) of 108 and 5 × 108 steps were used, as in Hermann’s work.
The results of the present numerical simulations are compared with the probability density of conventional quantum mechanics, that is, where is the normalization constant    . The continuous curves indicate the results of the present simulations and the dashed curves the results of conventional quantum mechanics, with the same normalization as the numerical results. The comparison between the present results and the results of conventional quantum mechanics is further facilitated by calculating the standard deviation σ and correlation coefficient ρ, which are given by  :
where N is the number of pieces, and .
Figures 1-3 show the results of numerical simulations for n = 0, 1, 2, 3, 4, and 5 with 108 time steps (cc). These numerical simulations started with arbitrary particle at the position . Also, the output of the simulations was normalized by multiplying it with a constant q whose value depends on the number of divisions of the region (here, q = 50).
Here, it was found, after some numerical tests, that the thermalization process  is useful to improve the present results. Figure 4 shows the results of such numerical tests for n = 2, 3 and 5 which have starting points ss = 100 and 200. These starting points are chosen after many attempts and were found to give better results from other choices. The improvement is clear from the values of σ
Figure 1. Probability density for a particle in a SHO potential (a) n = 0 and (b) n = 1, without thermalization process.
Figure 2. Probability density for a particle in a SHO potential (a) n = 2 and (b) n = 3, without thermalization process.
Figure 3. Probability density for a particle in a SHO potential (a) n = 4 and (b) n = 5, without thermalization process.
and ρ compared with Figure 2 and Figure 3. The present results can also be improved to increase convergence between them and the results of quantum mechanics by using more time steps. Figure 5 shows the results obtained this way, for n = 3. It appears that there is a better agreement with the results of conventional quantum mechanics compared with the results from a thermalization process for n = 3 (see Figure 4).
It was also found that, in the present problem, convergence between the results of numerical simulations and those of conventional quantum mechanics can be improved by increasing the number of boxes. This is clear in Figure 6, where it appears that there is better agreement between the two results for n = 3 when the number of boxes was increased to 1201.
The quantitative prediction of the behavior of a quantum particle in simple harmonic oscillator potential can be correctly obtained without explicitly writing the Schrödinger equation nor using any other of the conventional quantum axiom. This leads one to conclude from the present work that SR is a well- founded approach for deriving quantum mechanics from the concept of fractal space-time, consequence of the extension of the relativity principle to resolu-
Figure 4. Probability density for a particle in a SHO potential (a) n = 2, (b) n = 3 and (c) n = 5, with thermalization process.
Figure 5. Probability density for a particle in a SHO potential with n=3 for longer time steps (cc = 5 × 108).
Figure 6. Probability density for a particle in a SHO potential with n = 3 after increasing the number of boxes.
tions. Successful applications were not achievable without, among other things, a new adjustment for the time step dt after some deeper understanding of the underlying particle motion in some problems. It is expected that this understanding is necessary when attempts are made to solve other quantum mechanical problems. The appearance of the Riccati equation in connection with SR theory in the present work, and the use of this equation in conventional quantum mechanics in previous works   leads one to conclude that this equation is deeply rooted in the quantum mechanical behavior. It is also concluded from the attempts made in the present work that it is possible to improve the numerical simulation results by parameter optimization, and that further improvement is possible, but requires more computer time. SR is not a particularly advantageous approach for solving quantum mechanical problems directly. Rather, reveals the relationship between the quantum behavior and the fractality of space-time.
We would like to deeply thank Prof. Dr. L. Nottale (Director of Research, CNRS, Paris, France) for clarifying some points regarding his theory of scale relativity, Dr. R. Hermann (Dept. of Physics, Univ. de Liege, Belgium) for his suggestions concerning further applications of scale relativity method and Dr. Stephan LeBohec (Dept. Physics and Astronomy, Univ. of Utah, Salt Lake City, Utah, USA) for his continuous encouragement.
Chart 1. A schematic illustration of the different part of the. Program to calculate probability density of particle in SHO potential.
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