International Journal of Theoretical and Mathematical Physics
p-ISSN: 2167-6844 e-ISSN: 2167-6852
2023; 13(1): 6-14
doi:10.5923/j.ijtmp.20231301.02
Received: May 12, 2023; Accepted: Jun. 5, 2023; Published: Jun. 12, 2023

Marcello Salis
On leave from Department of Physics, University of Cagliari, Monserrato-Cagliari, Italy
Correspondence to: Marcello Salis, On leave from Department of Physics, University of Cagliari, Monserrato-Cagliari, Italy.
| Email: | ![]() |
Copyright © 2023 The Author(s). Published by Scientific & Academic Publishing.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/

Concerning the Young-Feynman interference experiment, a randomization mechanism of the Bohmian paths is proposed to reconcile the ontology of the classical particles with the “complementarity principle”. Simulations based on an elementary program code allows for results in reasonable agreement with the theory expectation.
Keywords: Bohmian Mechanics, Quantum Mechanics, Zero Point Field
Cite this paper: Marcello Salis, Randomizing the Bohmian Paths, International Journal of Theoretical and Mathematical Physics, Vol. 13 No. 1, 2023, pp. 6-14. doi: 10.5923/j.ijtmp.20231301.02.
![]() | (1) |
![]() | (2) |
and
are real valued functions. Substitution in eq. (1) leads to ![]() | (3) |
![]() | (4) |
is interpreted as the particle momentum (the Bohmian restriction). It is also obtained ![]() | (5) |
is dealt with as a field coordinate and
as its conjugated momentum [5]. After the conversion in a functional form of the mean energy equation, that is ![]() | (6) |
![]() | (7) |
![]() | (8) |
![]() | (9) |
![]() | (10) |
![]() | (11) |
![]() | (12) |
![]() | (13) |
![]() | (14) |
![]() | (15) |
includes the quantum potential. As the model presented below imposes boundaries to the configuration domain, say
eq. (14) is to be replaced by![]() | (16) |
![]() | (17) |
is the aforementioned random variable that satisfies![]() | (18) |
![]() | (19) |
![]() | (20) |
![]() | (21) |
![]() | (22) |
(radially) emitting classical particles of mass m, energy
, de Broglie wavelength
(be also
), and momentum ![]() | (23) |
be the volume enclosed by a spherical surface
of radius
centered on the source that contains the space of interest. After every emission, a new particle is not emitted meanwhile the previously emitted particle is inside there. In order to define a density (integrable) function, it is convenient to assume that
is covered by a particle absorber. Let N be an arbitrary number of emitted particles, large enough to fulfill any statistical requirements, then a proper time independent ensemble density can be defined as
To give a meaning to this quantity it helps to compare locally the ensemble to a stationary fluid moving with velocity
. Accordingly, the number of the fluid particles expected to cross a section
in the time
is ![]() | (24) |
is a small volume (the density is to be considered uniform). This correspondence will be used to represent the number of particles expected to cross a small volume
throughout the experiment that is
. Now fix consider two identical sources, say
and
separated by
(
). The absorbing sphere be centered in the median position in order to symmetrize the normalization. The sources emit exclusively one particle at time, and momenta at positions
and
are![]() | (25) |
and
for particles emitted by
and
, respectively. These have the same statistical properties that is
if
. The cumulative momentum within
for the merged ensemble is given by![]() | (26) |
![]() | (27) |
which implies an obvious condition concerning the associated spherical angles, that is,![]() | (28) |
![]() | (29) |
and
are the angle extension of the volume projected on the plane of the Bohmian trajectories. Equation (27) in itself has not a special meaning as it results from events associated to uncorrelated sources. However, referring to the ontology of the Bohmian mechanics, according to which the actual particle momentum is defined by (27), a fictitious particle can be imagined whose trajectories (depending on the initial conditions) can be found by integrating ![]() | (30) |
![]() | (31) |
![]() | (32) |
.If nonlocal correlations among particles and sources and between sources themselves come into play, a more proper calculation of the momentum average than eq. (27) is to be searched for. The nonlocality is here considered concerning how particles get their phases and how it affects their motion. The search of the average momentum will be addressed thoroughly in the next section by using the Bohmian mechanics as a statistical description of the ensemble. In the following are presented, point by point, the assumptions at the ground of the constrained momentum flip mechanism which will be used for the randomization of the Bohmian paths. 1) Classical alternatives to QM, such as stochastic electrodynamics (SED), that finds limited successes where phase is not relevant [17,18], suggest that the interaction of a particle with the zero point field (ZPF) gives its momentum a fluctuating change that vanishes on the average [19]. Here, the vacuum field is taken into account but the uncorrelated fluctuations are removed from the investigation by leaving to
a mere geometrical meaning (the emission is radial). It is worth to point out that, due to the subsumed randomness here considered (to which is to be added a nonlocally correlated effect), there is a substantial difference with respect to the ontology of the Bohmian mechanics and the semiclassical interpretations (a brief overview in ref. [22]). Indeed, even if the particle is admitted to a precise contemporary position and momentum, without considering the observational disturbance, their instant values are meaningless in predicting the particle future, neither in retrieving its past. However, in the absence of nonlocal disturbance (see below) the average motion is considered as in the ZPF local theories.2) Unlike ZPF theories, which are essentially locals [19], it is assumed that after the particles are emitted a correlation is maintained with the sources (e.g. [23]). The latter may eventually be complex systems with internal degrees of freedom even if considered almost point-like. Therefore, it is assumed that correlated fluctuations affect the particle motion through a flip momentum mechanism (particles are conveyed toward regions where positive correlations are favored). These correlations will be defined by means of variables
(n=1,2 labels the source that emitted the particle dealt with) that behave as ![]() | (33) |
stands for the random source phase. By using symbol
for the corresponding (internal degree) source variable and considering a large set
of phase values presented by the source within time
it holds![]() | (34) |
![]() | (35) |
is the difference between the random source phases; a random phase difference would cause the correlation to vanish. The exchange (flip) correlation for the particle can be written as![]() | (36) |
is considered as the random phase at time
, while the particle is crossing
, then by using
as a particle index (phase difference is assumed to be constant throughout the experiment). The momentum flip does not occur in a deterministic way (the actual particle path is unpredictable), rather it is to be considered as a disturbance of the particle motion correlated with its own source. To illustrate the flip process with a simple scheme, it is helpful to consider particles with average momenta
or
and actual random momenta
or
where now random variables have possible values
. If, for example,
a particle found in
with momentum
can turn either in a fluctuation
or
; this can lead to an effective momentum flip
. The following set of possible flips is also admitted
3) Correlation (36) accounts for the phase difference of the fluctuating particles that enter the wavefunction representation. Given the centered isotropic dependence of the
functions, it is not contradictory to hypothesize that the whole ZPF modes involved in forms a set showing the same symmetry (one may consider the correlations for the electric ZPF and adjust them for the scalar and centered isotropic case [17]). As the momentum flip can be regarded as a cross-exchange between the sub-ensembles, its probability is expected to depend on the (normalized) product of the numbers of involved modes pertaining the two sources. In investigating the particle motion in a plane, one can consider the only modes that are close to that plane so that their numbers are proportional to the angular extensions of the
projection on the plane. On this ground, by taking into account eq. (29),![]() | (37) |
that is (further on densities are normalized) ![]() | (38) |
that allows for ![]() | (39) |
![]() | (40) |
![]() | (41) |
. Indeed, after regularization of derivatives at the boundary, we have![]() | (42) |
and the small spherical surfaces of radius a, say
, that is
, so that![]() | (43) |
. Eventually the divergence can be removed by a suitable change of the potential definition. However, this is not necessary being this work focused on the classical interference as explained later. In this connection, it is worth to stress that the processing of the ensemble according to the Bohmian routine does not change the assumed basic ontology concerning the classical particles. On this line, conversion
(to be considered later) is to be meant in the sense correlated-to-uncorrelated rather than quantum-to-classical. The merging of the two sub-ensembles correspond to the wavefuntion superposition which is clearly still a solution of the Shrödinger equation. The following symbols will be used: ![]() | (44) |
![]() | (45) |
![]() | (46) |
![]() | (47) |
![]() | (48) |
![]() | (49) |
as a factor) and the corresponding potential, that is, ![]() | (50) |
![]() | (51) |
it holds
and![]() | (52) |
![]() | (53) |
is replaced by the corresponding uncorrelated average. Thus, the very difference between the two cases is reduced to the actual ensemble density. However, the Bohmian momentum convergence to (27) when
cannot be proved by directly applying the usual mathematics to eq. (50). Instead, it can be noted that the number of density oscillations within any given small volume can be made arbitrarily large. Thus, conveniently
can be separate in a large number of smaller equal volumes
so that
. Then, by assuming that inside
the density is given by
, it holds
and
(see eq. (27)).
;
;
;
). In principle, a zigzag motion that closely follows these trajectories can be accounted for by the momentum flip mechanism. It is worth to detail this point in the case
corresponding to
. It helps to imagine a particle advancing between two parallel walls while experiencing elastic collisions, as shown in Figure 3. The particle energy, say
, remains unchanged but, when considering a fictitious particle that follows the projected motion along the channel direction, we see an associated reduced kinetic energy and the emergence of a “potential” that stores the lacking energy; by using eqs. (50) and (51) the momentum and the potential energy can be obtained by putting
. This indeed may be interpreted as the results of a momentum flipping behavior
. Things appear more concealed when considering the negative interference that occurs when
. As
, the
functions not long can be used as probability factors, so that a different representation is required to handle a similar description as above. To this purpose, flip
is considered as the actual reference flip scheme, then the average momentum is conveniently rewritten as ![]() | (54) |
![]() | (55) |
![]() | Figure 1. Pseudo-Bohmian trajectories obtained from integration of eq. (30) by using eqs. (25) and (27) |
![]() | Figure 2. Young-Bohmian trajectories obtained from integration of eq. (30) by using eqs. (25) and (50) |
![]() | Figure 3. Drawing of a flipping motion between walls (see text) |
region (Figure 2). This is consistent with a fictitious kinetic energy larger than
that, however, is to be considered a statistical bias due to the normalization. In this connection, we stress again that the realistic interpretation of these trajectories cannot be sustained due the ensemble irreducibility in the transition to the uncorrelated case. However, a possible overcome of this drawback is a weakest version of the momentum flip mechanism which is randomly distributed (with some restrictions) along the particle path. To detail this point a randomization code, that simplifies the settings presented in Section 4, is here proposed (flow chart in Figure 4). The particles are randomly emitted by the two sources and the flow chart can be symmetrically applied to them. In the following only particles emitted by source
are considered. The momentum is determined by two variables, that is
and
, so that
. A first random number,
, is generated to establish if a flip is to be considered or not. If
the particle moves with momentum
(
), else flips are considered but in connection with the exchange (flip) correlation. If
only
exchanges are admitted. A second randomization
is introduced for the other flips. If
flips
occurs randomly. If
flips
occurs randomly. Figure 5 shows some of the calculated paths. Figure 6 shows the calculated interference patterns at various distances from the sources and, for comparison, the theoretical density patterns. The emission of
particles distributed within
; is considered and the distances are all measured in
unit. The theoretical density has been adjusted by a factor
where
stands for the distance of the detector plane from the source axis. Indeed, owing to the spreading of the real emissions in the volume, this enlarges between two close planes (considering the transverse direction with respect to the trajectory plane) as the detecting screen distance increases (the actual counts dependence on distance at the pattern center is 
![]() | Figure 4. Flow chart of the randomization code (see text) |
![]() | Figure 5. Randomized Bohmian paths |