**Open Journal of Fluid Dynamics**

Vol.04 No.03(2014), Article ID:49697,23 pages

10.4236/ojfd.2014.43023

About Appearance of the Irreversibility

Zhukovsky Central Institute of Aerohydrodynamics, Moscow, Russia

Email: lebed-i@newmail.ru

Copyright © 2014 by author and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY).

Received 24 July 2014; revised 24 August 2014; accepted 10 September 2014

ABSTRACT

The inevitability of arising in equations of kinetics and hydrodynamics irreversibility not contained in original equations of classic mechanics is substantiated. It is established that transfer of information about the direction of system evolution from initial conditions to resulting equations is the consequence of losing information about the position of an individual particle in space, which takes place at roughening description. It is shown that the roughening with respect to impact parameters of colliding particles is responsible for appearance of the irreversibility in resulting equations. Direct equations of kinetics and hydrodynamics are the result of roughening distribution functions with respect to impact parameters of particles, which have not yet reached the domain of their interaction. The direct equations are valid for the progressive direction of timing on the time axis pointing from the past to the future. Reverse equations of kinetics and hydrodynamics are the result of roughening distribution functions with respect to impact parameters of particles, which have already left the domain of their interaction. The reverse equations are valid for the progressive direction of timing on the time axis pointing from the future to the past.

**Keywords:**

Irreversibility, Direct Equations, Reverse Equations, Instability, Multimoment Hydrodynamics

1. Introduction

The detailed comparison of the results of direct numerical integration of the Navier-Stokes equations with the experimental data in the problem on flow around a sphere is given in [1] . The comparison demonstrated that the solutions to the classic hydrodynamics equations interpret successfully the experiment until a first critical

The problems encountered by classic hydrodynamics when interpreting observed evolution of unstable process, are proposed to be solved on the way toward an increase in the number of principle hydrodynamic values [4] . In [5] -[8] , the multimoment hydrodynamics equations are used to study the phenomena of instability appearance and development in problem on flow around a solid sphere at a wide range of

The studies [5] -[8] demonstrated that when interpreting each of unstable regimes in problem on flow around a sphere the need emerges to involve the so-called reverse multimoment hydrodynamics equations [9] . The evolution of the system after losing its stability that is described by the direct hydrodynamics equations advances in direction of the system departure from the statistical equilibrium state. The evolution of the system after losing its stability that is described by the reverse hydrodynamics equations advances in direction of the system approaching the statistical equilibrium state.

Both the direct and the reverse multimoment hydrodynamics equations are irreversible. The main purpose of the present work is to elucidate the physical meaning of appearance of the irreversibility in equations of kinetics and hydrodynamics.

The present work shows that during transition from the classic mechanics equations to equations of kinetics and hydrodynamics the irreversibility is incapable not to appear, it must appear. By another words, the present work substantiates appearance of the irreversibility in resulting equations. Section 2 recounts the ideas on levels and stages that specify the degree of accuracy for medium description. Section 3 represents the only roughening operation, which is responsible for appearance of the irreversibility in kinetics and hydrodynamics equations. The necessity to introduce this roughening operation is substantiated.

2. Medium Description Levels and Stages

Suppose that some physical system consists of N structureless particles. Let, , , represent respectively the coordinates and velocities of the particles, i.e., the point in 6N-dimensional phase space. The evolution of the variables, , , is calculated in the frameworks of the equations of classic mechanics. Let us carry out at some time t the inversion in velocity space and in time, , ,. It turns out that the classic mechanics equations are invariant with respect to this operation, that is, the equations of classic mechanics are reversible. This means the following. Let at time t_{0} the initial conditions, , , are specified. Let by the time the equations of classic mechanics transfer them into, , , respectively. Then, after inversion at time, the equations of classic mechanics transfer the conditions, , , into the conditions, , , by the time t_{0}. Having once more the operation of inversion, make sure that the equations of classic mechanics returned the system to the same point of the phase space from which they took her.

Having described by classic mechanics equations the motion of each system particle, we will be able to calculate any macroscopic characteristic of system at any time moment, i.e., to describe the evolution of system as a whole. This description corresponds to the dynamic deterministic level. This level is the most complete and overly detailed. As a rule, the necessity in such a detailed description does not occur. When solving practical tasks we need information not about the velocities and coordinates of individual particles but about the macroscopic properties of a system. It is therefore advisable to switch from the equations of classic mechanics, which describes the motion of each system particle, to equations for macroscopic characteristics.

The first step on this way is the transition from the dynamic deterministic level of description to the statistical deterministic one, see Figure 3 from [3] . Let us choose the Liouville formalism among the famous formalisms of classic mechanics equations (Newton,

(2.1)

The dynamic distribution function has a meaning of reliability at some time t to find the particle that occupies the trajectory, in phase space point, , , and the particle that occupies the trajectory, , in phase space point, ,

(2.2)

In (2.1), m is the mass of the particle, is the force of action of the i-particle on the j-particle. From the point of view of dynamics one scalar Equation (2.1) for function is equivalent to 6N Newton (

To reach the statistical deterministic level at some time t it is necessary to describe the set of systems (

(2.3)

The statistical distribution function has a meaning of probability to find at some time t one of medium particles within the unit element of phase space near point, , another particle near point, , , and the last particle near point, [12] . The statistical distribution function is a linear combination of the, , dynamic distribution functions. The distribution function is invariant with respect to permutation of any pair of arguments, ,. It is the cardinal difference between and dynamic distribution functions. The distribution functions and are governed by the Liouville Equation (2.1). The difference between the function and the function described specifically the K-system of ensemble constitutes the fluctuation of the N-particle distribution function.

The function contains statistical information about all N particles of the system. The reduction of the ordinal number of the particle distribution function accompanies by the loss of information about the position in phase space of the particle in turn. The s-particle distribution function has a meaning of the probability that at some time t one particle, say particle 1, finds itself within unit element of phase space near point, , another particle, say particle 2, within unit element near point, , , and particle s-near point, , regardless of the position in phase space of the remaining particles. The function obeys the s-equation of the BBGKY hierarchy [12] :

(2.4)

The function obeys the first equation of the hierarchy (2.4). The function contains statistical information about particle 1 regardless of the position in phase space of the remaining particles. Every equation of the BBGKY hierarchy (2.4) is invariant with respect to inversion of velocities and time, , , , that is, every equation of the BBGKY hierarchy is reversible. The BBGKY hierarchy is closed by the Liouville equation for. In the thermodynamic limit, , , yet is a finite, V is the volume of the system.

Analyzing the hierarchy (2.4),
_{0} corresponding to it is identical to the characteristic particle size d. Interval is the characteristic time between collisions. The spatial interval l_{k} corresponding to it is identical to the characteristic free path length. Temporal interval and spatial interval l_{h} corresponding to it are equivalent to the characteristic temporal scale of flow and the characteristic spatial scale of flow L correspondently. The above three intervals specify three Bogolyubov accuracy stages of gas description: initial l_{0} scale, kinetic l_{k} scale, and hydrodynamic l_{h} scale. Initial stage equations are the most detailed. The solutions to these equations describe the system at the finest initial stage as well as at the kinetic and hydrodynamic stages. Passage to less detailed kinetic description stage is implemented by neglecting the information about a sharp change of the distribution functions on the initial scale. Namely, the distribution function governed by the equations of kinetic description stage, varies slightly on l_{0} scale. After transition to the most coarse hydrodynamic description stage the distribution function varies strongly on l_{h} scale only.

The BBGKY hierarchy (2.4) describes the medium with accuracy that satisfies the initial stage. The , , distribution functions contain the excessively detailed information about the system under consideration.

At the kinetic and hydrodynamic stages, the gas is described by the one-particle distribution function governed by the

(2.5)

The collision integral assumes the form:

(2.6)

Equations (2.5), (2.6) are valid for a rarefied gas medium, where,

(2.7)

In (2.6), (2.7), vector has the cylindrical coordinates b, , in reference frame with the Z axis parallel to,. If the function varies slightly on the l_{0} scale, the product differs by the negligibly small value from:

(2.8)

Otherwise, let the function varies strongly on the l_{0} scale. Then, in order to transit from the initial description stage to the kinetic one, namely, in order to obtain the equation for from the first equation of BBGKY hierarchy, it is necessary to carry out additionally the spatial averaging (2.7). The integration (2.7) with respect to a within domain W having the characteristic linear size removes strong spatial dependence of the function on the l_{0} scale. Therefore, when passing the kinetic and hydrodynamic description stages, information about spatial position of an individual particle is lost. The distribution function has a meaning of a probable number of particles, which are concentrated in a unit volume element near x_{1} and velocities, in unit interval near at time t. The x_{1} argument of the distribution function is the coordinate of particle 1. The argument of the distribution function is not the coordinate of individual particle. The x_{1} argument of the function marks the place in space in the vicinity of which a set of particles is concentrated within init volume. The

The second equation of the BBGKY hierarchy (2.4), like the first one, is not closed. The integral term of the second hierarchy equation contains a three-particle distribution function responsible for the interaction of particles 1 and 2 with some third particle. The absence of closeness of the second hierarchy equation prevents us from the transition to the hydrodynamic stage from the phase space of two particles. It was, however, found that in the gas medium without the triple collisions of particles, the necessity of taking the third particle into account can be obviated. This possibility opens up prospects for the transition to the hydrodynamic description stage without invoking additional hypotheses.

If the partial distribution function obeying the second equation of BBGKY hierarchy (2.4) described two particles occupying positions in the -space arbitrary with respect to each other, the partial distribution function describes two particles occupying quite definite positions with respect to each other. The reversible equation for has the form:

(2.9)

The idea that leads to the concept of a pair of particles is given in [14] [15] . In [15] , Equation (2.9) describing the evolution of a pair of particles is derived directly from the main statistical mechanics postulates. The heuristic derivation of Equation (2.9) was given in [3] .

The and pair distribution functions are implemented based on the function. Let us pass from the 12-dimensional phase space of particles 1 and 2 constructed on the, , , vectors to the 12-dimensional space constructed on the, , , vectors, where, , ,. Then,

(2.10)

(2.11)

(2.12)

In (2.12),. The integration of with respect to (2.12) within cylindrical volume limits collects all the positions of particles 1 and 2 with respect to each other in which they turn out to be after a collision with each other. The integration of with respect to (2.12) within cylindrical volume limits collects all the positions of particles 1 and 2 with respect to each other in which they turn out to be before a collision with each other, see Figure 3 from [2] . The integration of (2.11) with respect to a within region W having the characteristic linear size removes strong spatial dependence of the functions on the initial scale having the particle size d. The multiplication of by the number of methods for selecting a pair from a set of N particles, , (the permutation of particles does not create a new pair) leads to pair distribution functions. It follows that operations (2.10) - (2.12) collect all pairs of particles which either inevitably collide during an interval that does not exceed the characteristic time between collisions, or fly apart after a collision during an interval not longer than. The pair function has the meaning of a probable number of pairs flying apart (approaching each other) the centers of mass of which are concentrated in a unit volume element near x and velocities, in a unit interval near G, v at time t. The arguments of the distribution function are and, which are spatial coordinates of particles 1 and 2. The x argument of the distribution function is the coordinate of the center of mass of particles 1 and 2.

The x argument of pair distribution functions is not the coordinate of the center of mass of some pair. Indeed, the centers of mass of all the pairs described by the functions have the coordinate x. The x argument of functions marks the place in space in the vicinity of which a set of centers of mass of pairs of particles is concentrated in unit volume. It follows that operations (2.10) - (2.12) remove the dependence of pair distribution functions on the coordinates of individual particles. The and pair distribution functions obey the irreversible equations obtained in [15] . The and are the characteristic scales for changing the and functions. Why the irreversibility is appeared in equations for pair functions is investigated in Section 3.

At the hydrodynamic stage, the description of gas medium may be carried out not in terms of distribution function but in terms of hydrodynamic values that are the moments of distribution functions. In order to derive the hydrodynamics equations from the equations for the distribution functions it is necessary to refuse the study of behavior of the distribution function on the kinetic scale, , kinetic scale. Under the hydrodynamic description, the

3. Inevitability of Appearance of the Irreversibility

To understand the physical meaning of appearance of the irreversibility in equations of kinetics and hydrodynamics, two concepts discussed above should be compared. First, since the time of

Secondly, after transition from the initial to the kinetic and hydrodynamic description stages the distribution functions lose the information about spatial position of individual particle and hence, about mutual arrangement of particles. The variables x_{i}, both in the s-particle distribution function, , and in the initial conditions of the initial description stage are the spatial coordinates of separate particles. It means that the functions, , contain the information about direction of evolution. The x_{1} variable in distribution functions and initial conditions of the kinetic and hydrodynamic stages specifies the location in space. It means that distribution functions and initial conditions of kinetic and hydrodynamic stages lose the information about the direction of evolution. If the roughening operations, transforming the equations and the initial conditions of the initial stage into equations and the initial conditions of the kinetic and hydrodynamic stages, are performed correctly, the information about direction of evolution of the system must somehow be preserved. And this information preserved, it disappeared from the coarse distribution functions and the initial conditions, but appeared in the coarse equations of the kinetic and hydrodynamic stages. The equations of the kinetic and hydrodynamic stages acquired a new characteristic property that is not contained in the classic mechanics equations as well as in the BBGKY hierarchy equations. The irreversibility identified with the direction of the system evolution appeared there.

To clear up the mechanism of appearance of the irreversibility in equations of kinetics and hydrodynamics let us carry out the roughening the reversible Equation (2.9) that describes the motion and interaction of two particles of pair. Suppose that is the velocity of relative motion of particles which after an elastic collision with the impact parameter b and azimuth angle acquire velocity v. Trajectories of relative motion of

(a)(b)(c)

Figure 1. (а) non-equilibrium state of isolated system; (b) state of statistical equilibrium of isolated system; (с) inversion in velocity space without changing the positions of particles.

two particles in the interaction domain at a fixed are illustrated in Figure 2. The particles with parameters and pursue trajectory 1 and leave the interaction domain with parameters and,. In order to leave the interaction domain with the same velocity, and parameter, particles should enter it with and, (trajectory

.

Let us recast Equation (2.9) in the trajectory form. The newly obtained equation is then integrated with respect to between the limits of variation of two-particle distribution functions and. These limits are represented in Equation (2.12):

(

Figure 2. The interaction domain of two particles:, ,.

(3.1b)

Here,. Velocities of relative motion of particles appearing in Equation (3.1) are displayed in Figure 3,. Equation (3.1) convey distinct physical meaning. They imply that after a

lapse of time, all pairs of approaching particles, indiscriminately, become the pairs of diverging particles. Let us pass on from trajectory Equation (3.1) to differential equations,

( 3.2a )

(3.2b)

Here,. Reversibility of the equations for pair functions will be examined in the seven- dimensional space. The seven-dimensional space is a combination of the six-dimensional space of velocities defined by vectors G and v and the one-dimensional time space. The positive direction of the time axis runs from the past to the future.

Suppose that at some instant of time, we have a chance to reverse the directions of the velocities of all the particles, , , without changing the directions of the reference axes in space. In space, time t may be reckoned in the direction of its increase:, while time, in the return di-

rection:, so that. Inverting the velocities, , , we reverse the direction of motion of particles which, according to the laws of classic mechanics, retreat to their starting positions. Now let us alter orientation of the time axis, directing it from the future to the past. Reckoning time in the new frame of reference in the direction:, we, as previously, move from the past to the future.

Let us reverse the signs of particle velocities, , , and reckon time in the direction of its decrease,. As the velocities are inverted, pairs of approaching particles become the pairs of diverging particles, and vice versa. For every pair function cylindrical coordinates of vector are specified in the frame of reference with Z-axis oriented in the direction of vector v (Figure 4),

(

Figure 3. Velocities of relative motion of two particles at the inlet and outlet of their interaction domain, appearing in Equation (3.1). Velocities are displayed in the frame of reference,.

Figure 4. In the Cartesian frame of reference XYZ with Z axis parallel to v vector, vector has cylindrical coordinates b, ,; in the Cartesian frame of reference with axis parallel to vector, vector has cylindrical coordinates.

Superscript + marks the pair distribution functions and, which evolve with regressive direction

of timing along the time axis pointing from the past to the future. Inversion of time and velocities fails to alter the number of pairs of diverging particles which at time t start approaching each other and the number of pairs of approaching particles which at time t start diverging each other,

(3.3b)

Now substitute operations (

( 3.4a )

(3.4b)

Here,. The formal criterion [12] of reversibility of Equation (3.2) is thus established.

Let us go beyond the scope of formal analysis and examine Equation (3.la). Inversion of time and velocities, , , , yields:

( 3.5a )

Inversion of time and velocities fails to alter the number of pairs of diverging particles, which at time start approaching each other,

(3.5b)

Now substitute operations (

Let us pass on from differential Equation (3.4) to trajectory equations,

( 3.6a )

(3.6b)

The sets (3.1) and (3.2) are written for the progressive direction of timing along the time axis pointing from the past to the future. The sets (3.4) and (3.6) are written for the regressive direction of timing along the same time axis.

To comply with the physical scenario by which the system attains the kinetic and hydrodynamic stages and the peculiarities of this stage, let us dispose of the variables defining the mutual arrangement of particles. To this end, integrate Equation (3.la) with respect to b and:

(3.7)

Integration “collects” all the trajectories of types 1 and 2 (Figure 2) differing by their b and values at the outlet of the interaction domain at a fixed v. However, integration with respect to b and failed to eliminate these parameters, because the distribution function on the left hand side of Equation (3.7) depends on b and both explicitly and implicitly (via).

Let us next integrate with respect to b and at a fixed,

(3.8)

Here, integration is over the trajectories of types 1 and n (Figure 2) differing by their b and values at the entry of the interaction domain at a fixed. Now replace in Equation (3.7) by its average over b and (3.8),

(3.9)

Equation (3.7) assumes therewith the following form:

(3.10)

Figure 5 is a pictorial representation of operations (3.7)-(3.10). Column A portrays the integrand function on the left hand side of Equation (3.7) modeling pairs of approaching particles at fixed G and. Each rectangle in A corresponds to with some particular values of b and. Rectangles have different areas, each area being proportional to the number of pairs with the appropriate values of b and. Replacing (3.9) translates A into B. The transition is equivalent to replacing with given b and by its average over all b values at a fixed, (3.8). The result of this transition is that rectangles in column B, corresponding to different values of b and identical values of have equal areas. Thus, the transition brings us to a less accurate description of the system.

The transition in Figure 5 is mediated by integration of the left hand side of Equation (3.10). The solid arrows connecting columns B and C correspond to the trajectories of types 1 and 2 (Figure 2) along which the left hand side of Equation (3.10) is integrated. The “collected” trajectories then experience the transition to yield pairs of diverging particles with identical velocities v. Column D depicts pairs of diverging

particles modelled by the right hand side of Equation (3.10). It is worth emphasizing that each rectangle in column D derives from the isometric triangle in column B, corresponding to an approximate value of.

Dashed arrows between B and C are the trajectories of types 1 and n (Figure 2). It is these trajectories that were “collected” by integrating (3.8) to switch from the exact value of with some b and (depicted by the appropriate rectangle in column A) to its average having the same and appearing in column B as a rectangle of a different area.

Reversibility of Equation (3.10) will be analyzed in the same informal manner as that of Equation (3.la). Let us reverse the signs of particle velocities and reckon time in the direction of its decrease:,

(A) (B) (C) (D)

Figure 5. Graphic representation of operations (3.7)-(3.10).

,. Variation of the left and right hand sides of Equation (3.10) is given by operations (

Thus, at time t, we replace the exact initial functions modeling pairs of particles which have not collided yet (left hand side of Equation (3.7)) by their approximations. From these approximations to the true func- tions at time t we derive the functions modeling already collided particles at time (Equation (3.10)).

Operation (3.9) eliminated all information about the initial functions (left hand side of Equation (3.7)) from the left hand side of Equation (3.10). This information cannot be replenished by inverting time and particle velocities:, ,. Equation (3.10) is irreversible and valid only in the direction of increasing time. Note that operations (3.8) and (3.9) are by no means a sort of manipulation with impact parameters b and. They are a logical and consistent means of deriving the approximation that contains no information unnecessary in the kinetic stage of gas medium modeling.

Let us integrate Equation (3.lb) with respect to b and,

(3.11)

By analogy with operation (3.9) we replace the initial function by its average,

(3.12)

where

In Equation (3.11), function models pairs of particles which have collided by time t and depends exclusively on function modeling pairs of particles approaching each other at time. Replacing the exact function on the right hand side of Equation (3.11) by its average over b and, (3.12), is inadmissible with progressive direction of timing. Really, after replacing (3.12), function at time depends exclusively on average function at time t. Hence, Equation (3.11) with its right hand side re-

placed by operation (3.12) is unsuitable for modeling evolution of distribution functions in the direction of increasing time. Thus, an attempt to do away with the explicit dependence of distribution functions on b and in Equation (3.11) has not met with success with the progressive direction of timing. Let and be the spherical coordinates of vector v. Integration of Equation (3.11) with respect to and spares us the information useless in the kinetic stage of description,

(3.13)

Equation (3.13) is reversible. This inference stems from an informal analysis similar to analysis of Equation (3.la).

Following the procedure proposed in [15] , we average Equation (3.10) and (3.13) over x within domain W of linear size, Equation (2.11), multiply two-particle distribution functions by the number of ways in which a pair of particles can be chosen among N panicles, and switch from the trajectory form of the equations to their differential form,

(3.14)

Equation (3.14) were previously derived heuristically in [14] and immediately from the Liouville equation in [15] . The functions and were defined by Equations (2.10), (2.11), and (2.12).

Now we switch from space to space,. All the axes of the six-dimensional frame of reference are in opposition to the axes of. Inversion of the reference axes of the velocity space has no effect on the physical pattern: particles keep moving. In going to, the superscript of pair distribution functions remains invariant. However, in frame of reference, the arguments of distribution functions G and v reverse their signs:, , Figure 6,. Now we switch from space to space. The time axis in space points towards the past. In space, ,. The set (3.6) assumes the following form in frame of reference:

(3.l 5a )

(3.l5b)

Superscript * marks the pair distribution functions and, which evolve with progressive direction of timing along the time axis pointing from the future to the past. Let us integrate Equation (3.l

(3.16)

Let us carry out the replacing,

(3.17)

where

(3.18)

Equation (3.16) with replacing (3.17) assumes the form:

(3.19)

In Equation (3.19), average function models pairs of particles which have collided by time.

Figure 6. Velocities of relative motion of two particles at the inlet and outlet of their interaction domain, appearing in Equation (3.15). Velocities are displayed in the frame of reference,.

Function models pairs of particles approaching each other at time and depends exclusively on average function at time. Replacing (3.17) the exact function on the right hand side of Equation (3.16) by its average over b and, (3.18), is responsible for the irreversibility of Equation (3.19). Equation (3.19) is suitable for modeling evolution of distribution functions in the direction of increasing time along the time axis pointing from the future to the past. Let us carry out the replacing,

(3.20)

where

Let us integrate Equation (3.l5b) with respect to b and, and use the replacing (3.20),

(3.21)

In Equation (3.21), function models pairs of particles which have collided by time and depends exclusively on average function modeling pairs of particles approaching each other at time. Hence, replacing the exact function by its average over b and, (3.20), is inadmissible with

the progressive direction of timing on the time axis pointing from the future to the past. So, Equation (3.21) is unsuitable for modeling evolution of distribution functions in the direction of increasing time along the same time axis. Integration of Equation (3.15b) with respect to b and, and, spares us the information useless in the kinetic stage of description:

(3.22)

As previously in [15] , we average Equations (3.19) and (3.22) over x within domain W of linear size, Equation (2.11), multiply the distribution functions by the number of ways in which a pair of particles can be selected from an ensemble of N particles, and switch from the trajectory form of equations to their differential form:

(3.23)

Equation (3.23) are valid in the direction of increasing time along the time axis pointing from the future to the past. Equation (3.23) are called the reverse equations for pair distribution functions. In [9] , Equation (3.23) are derived directly from the Equation (3.14) by means of inversion of velocities and time supplemented with inversion of the reference axes of the velocities and time space.

The basic property of pair functions and is also good for the reverse functions. Hence, pair functions and remain unchanged at time along the trajectory of the center of mass of the pair for progressive direction of timing on the time axis pointing from the future to the past,

(3.24)

here,

Reverse multimoment hydrodynamics equations can be derived from Equation (3.23) within the formalism of [4] . It turned out that the form of the resulting equations of conservation (55) and (56) from [4] is invariant with respect to the direction of the time axis,

(3.25)

However, expressions for the non-principal hydrodynamic values (52) and, hence, (53) from [4] undergo transformations:

(3.26)

Then,

(3.27)

Thus, the reverse Equation (3.23) give the expressions for the stress tensor and heat flux vector differ from their counterparts (Equation (53) in [4] ) stemming from direct Equation (3.14) by their sign. Principal hydrodynamic values, , , , , , and are the moments of pair function. Expressions for the moments of the reverse pair function are identical to expressions for the moments of the pair function presented in [4] .

Let us recast replacing (3.9) in terms of two-particle distribution functions. Invoking relationship (

(3.28)

Let us integrate Equation (3.28) first with respect to b and,

(3.29)

and then with respect to b and at a fixed,

(3.30)

where

(3.31)

Let us next apply operation (3.9) to Equation (3.29). From Equations (3.30) and (3.31) we obtain that operation (3.9) is equivalent to:

(3.32)

Invoking relationships between two-particle distribution functions [4] , let us recast replacing (3.32) in terms of functions, written in the variables,

(3.33)

here,

(3.34)

In Equation (3.34), ,. Following to Equation (2.11), let us eliminate strong spatial dependence of the distribution functions from replacing (3.33) on the initial scale,

(3.35)

In accordance with Equation (10) from [15] , two-particle distribution functions and have identical physical meaning within interaction domain and governed by the same equations when triple collisions are neglected,. Hence,

(3.36)

Boundary condition (3.36) remains valid for functions and.

To analyze reversibility of Equation (2.5) with collision integral (2.6) let us reverse the signs of velocities, , , and reckon time in the direction of its decrease,. As the velocities are inverted, pairs of particles at the inlet of the interaction domain become the pairs of particles at the outlet of this domain, and vice versa,

(3.37)

Inversion of time and velocities fails to alter the number of pairs of diverging particles which at time t start approaching each other and the number of pairs of approaching particles which at time t start diverging each other. In this case, operations (3.37) remain true with respect to replacement of the symbol ® by the symbol =. As a result, Equation (2.5) with collision integral (2.6) is invariant with respect to inversion:, , , that is, Equation (2.5) with collision integral (2.6) is reversible. The reversibility of Equation (2.5) is true for any analytical representation of two-particle distribution functions in the collision integral (2.6). Hence, the Bogolyubov boundary condition for correlation failure [13] ,

(3.38)

does not eliminate the reversibility of Equation (2.5) with collision integral (2.6). The second component of collision integral (2.6) corresponds to pair of particles at the entrance to their interaction domain. The first component of collision integral (2.6) describes pair of particles at the exit from this domain. Let us express function in terms of the two-particle distribution function at the entrance to interaction domain. Invoking relationships derived in [18] , we obtain:

(3.39)

here,

Let us recast collision integral (3.39) in terms of two-particle distribution functions, written in, , , v variables,

(3.40)

here,

Equation (2.5) with collision integral (3.39) remains invariant with respect to inversion of time and velocities, , , , that is, Equation (2.5) with collision integral (3.39) is reversible. Equa-

tion (2.5) with collision integral (3.40) is also reversible. Invoking boundary condition (3.36) for the dis-

tribution function, let us replace the first component in the collision integral (3.40) by its average over b and (3.35). Then,

(3.41)

here,

(3.42)

Let us invoke replacing (3.41) to obtain Equation (2.5) with collision integral (3.40) in the form:

(3.43)

In terms of two-particle distribution functions, written in, , , variables, collision integral (3.42) assumes the form:

(3.44)

here,

In Equation (3.43),. Equation (3.43) with collision integral (3.42) is irreversible. Replacing

(3.32) is equivalent to replacing (3.9). Operations (3.9) and (3.32) are true for particles of pair which have not collided yet. That is why Equation (3.43) with collision integral (3.42) is valid for the progressive direction of timing along the time axis pointing from the past to the future. Analogously, Equation (3.43) with collision integral (3.44) is also valid with progressive timing along the same time axis. Following to

factorize two particle distribution functions in the collision integral (3.44),

(3.45)

The factorization of two particle distribution functions, that is, their representation in the form of product of two one-particle functions, closes Equation (3.43) with collision integral (3.44). The obtained classic kinetic equation for the one-particle function is called the

(3.46)

(3.47)

The factorization (3.47) transforms the reversible Equation (2.5) with collision integral (3.39) also into the irreversible Boltzmann Equation (3.46). It follows that the factorization (3.47) masks the true cause for appearance of the irreversibility in the kinetic Equation (3.46).

The stated ideas about the transition of information from initial conditions to resulting equations allow submitting additional argument in favor of strong spatial dependence of the one-particle distribution function on the scale of particle size. Suppose that the function weakly varies upon x_{1} on l_{0} scale. In this case, the function can be identified with number of -particles in unit volume element near point x_{1}. Then, it will be impossible to distinguish one direction of evolution from another by means of initial conditions for the function, because, in accordance with the assumption, the function will not contain the information on mutual arrangement of particles. The one-particle distribution function obeys the first reversible equation of BBGKY hierarchy (2.4). Thus, having disappeared from the initial conditions, direction of evolution identified with irreversibility does not appear in the equation. That is why, the assumption made will not allow for a description of both directions of evolution in the terms of the function. Appearance of this possibility as a result of further roughening, which ensures the transition to the kinetic stage, is excluded because the roughening able to lose, but not to introduce new information about the system. Thus, the loss of the possibility of interpretation of both directions of evolution in terms of the function disproves the assumption was made.

4. Discussion

Evolution of function called entropy is the indicator of reversibility of equation. Every function presented above, Equations (2.3), (2.8), (2.10), allows to form own entropy. At the dynamic description level the system is characterized by the dynamic entropy,

(4.1)

The function corresponds to the K-system of

(4.2)

At the kinetic and hydrodynamic description stages the system is characterized by the

(4.3)

(4.4)

(4.5)

Evolution of the function, is defined by two factors, by the entropy production in the system and the entropy outflow through the surface confining the system [12] [19] ,

(4.6)

The system does not produce the dynamic entropy, , regardless of characteristic features of processes within it. The

The irreversible equations of kinetics and hydrodynamics demonstrate qualitatively different behavior. Depending on the characteristic features of processes within non-equilibrium system the binary collisions of particles either generate or absorb the entropy, , ,. Both the

The temporal conservation of entropy for system that evolves to the state of statistical equilibrium at its detailed description (at high accuracy level) is noted by

Among other things, the entropy specifies the degree of smearing system macroscopic state upon acceptable microscopic states. At the dynamic description level the microscopic state that corresponds to given macroscopic state is quite concrete. At the initial stage of the statistical level, the absence of entropy outflow through the surface confining the system ensures the conservation of the degree of smearing system macroscopic state upon acceptable microscopic states. At the kinetic and hydrodynamic stages, the system evolution is accompanied by change of the degree of smearing due to non-zero entropy production.

The transition from the classic mechanics equations to the hydrodynamics equations is a successive multistep process of loss of excess information about the system. During this transition a set of roughening operations is performed but only one of these operations transforms the reversible equations into the irreversible ones. At the first step of roughening the description of an individual system is replaced by description of the ensemble of systems. The ensemble distribution function (2.3) obeys the Liouville equation (2.4). The Liouville equation is reversible, that is, the first roughening step does not lead to appearance of the irreversibility.

The second roughening step reduces the ordinal number of partial distribution functions. The second step is accompanied by loss of information about the position in phase space of the particles in turn. If the distribution function contains the information about the position of all N particles in the phase space, then the function contains such information only about s particles of the system regardless of the position in phase space of the remaining particles. Every equation of the BBGKY hierarchy (2.4) is reversible, that is, the second step of roughening also does not lead to appearance of the irreversibility.

The irreversibility appears at the next roughening step after transition from the initial description stage to the kinetic and hydrodynamic stages. Equation (3.7) is invariant with respect to inversion of time and velocities. Replacing the exact function on the left hand side of Equation (3.7) by its average over impact parameters (3.9) eliminates the reversibility of Equation (3.7), that is, Equation (3.10) becomes irreversible. Replacing (3.9) closes one of two directions for time reckoning. It means that both Equation (3.10) and the direct set (3.14) are valid for the progressive direction of timing on the time axis pointing from the past to the future.

Equation (3.16) is invariant with respect to inversion of time and velocities. Replacing the exact function on the right hand side of Equation (3.16) by its average over impact parameters (3.17) eliminates the reversibility of Equation (3.16), that is, Equation (3.19) becomes irreversible. Replacing (3.17) closes one of two directions for time reckoning. It means that both Equation (3.19) and the reverse set (3.23) are valid for the progressive direction of timing on the time axis pointing from the future to the past. Note that solutions to the set (3.23) are also suitable for modeling observed system evolution with regressive timing along the time axis pointing from the past to the future.

The local pair entropy corresponding to the direct equations for pair distribution functions (3.14) and the multimoment hydrodynamics equations they yield can only be produced in the system due to binary collisions at any space point x and at any instant t, [6] . Thus, at any instant t binary collisions merely rise the pair entropy of the system,. Such behavior of the entropy is in full accordance with the second law of thermodynamics. The solutions to the direct multimoment hydrodynamics equations describe the direction of evolution of the system that is everywhere and every second is found in nature.

The local pair entropy corresponding to the reverse equations for the pair distribution functions (3.23) and the reverse multimoment hydrodynamics equations they yield can only be absorbed in the system due to binary collisions at any space point x and at any instant, [6] [9] . Thus, at any instant binary col-

lisions absorb the pair entropy of the system,. The solutions to the reverse multimoment hydro-

dynamics equations describe the evolution of the system in the opposite direction, which, as is commonly believed, is extremely rare in nature.

In [6] , it is shown that production of the

Let us refer again to the example, Figure 1. Suppose that at the time the direction of the velocities of all the particles are reversed without changing the positions of particles (Figure 1(c)). This inversion is a hardly probable event. Then, by the time, in accordance with the laws of classic mechanics, all the particles will return to the left side of the vessel. Since the time, let us reckon the time in the regressive direction along the time axis pointing from the past to the future, within. Beginning from the time up to the time, let some solution to direct set (3.14) describes the process of filling of the vessel. The inversion of velocities and time supplemented with inversion of the reference axes of the velocities and time space transforms the direct Equation (3.14) into the reverse Equation (3.23) [9] . Then, beginning from the time up to the time, the corresponding solution to the reverse Equation (3.23) will describe the process of returning the gas into the left side of the vessel. Generally speaking, the process of returning the gas from the state realized at the time (Figure 1(c)) into the state achieved by the time (Figure 1(a)) has no relation with the choice of direction of timing. This process is determined exclusively by the system initial conditions.

Let in closed vessel, by the time the conditions completely identical to those, which occurred at the time after inversion in velocities space (Figure 1(c)), are established by itself. In principle, such an event is real, as it does not contradict the conservation laws. However, it is extremely unlike at a sufficiently large number of particles within the vessel. The durability of time interval is no importance in this case. Then, by the time all the particles of gas will be concentrated in left side of the vessel,. The process of returning the gas occurs for the progressive direction of timing on the time axis pointing from the past to the future. This process is absolutely identical to that one, which occurred within time interval between and for the regressive direction of timing on the same time axis. Two identical processes should be described by the same equations. Therefore, returning the gas into the left side of the vessel occurred within time interval between and for the progressive direction of timing on the time axis pointing from the past to the future should also be described by the reverse Equation (3.23). So, the reverse Equation (3.23) are suitable for description of processes occurring with progressive timing on the time axis pointing from the past to the future.

This example returns us to the days of

Indeed, at low deviation of the system state from the state of statistical equilibrium, as

5. Conclusions

The original equations of classic mechanics do not contain information about the direction of system evolution. This information is enclosed in the initial conditions and the direction of evolution is defined by the mutual arrangement of system particles. Roughening the original equations together with the initial conditions is a successive process to exclude the excessively detailed information and obtain coarse equations suitable for use. The information on the spatial position of an individual particle is lost at one of the roughening steps. Therefore, at this roughening step the initial conditions lost the information about the direction of system evolution. At the same time, at this roughening step the direction of evolution identified with the irreversibility appears in the equations. Therefore, the irreversibility did not appear from nothing in the coarse equations, it transited from initial conditions to equations by means of the roughening process. The substitutions (3.9) and (3.17) are responsible for appearance of the irreversibility in the kinetics and hydrodynamics equations. These substitutions are by no means a sort of manipulation with impact parameters b and. They are a logical and consistent means of deriving the approximation that contains no information unnecessary in kinetic and hydrodynamic description stages. The averaging (3.8) is carried out with respect to collision parameters of two particles, which are approaching each other before their collision. The direct equations of kinetics and hydrodynamics are the result of this roughening. These equations are true for the progressive direction of timing on the time axis pointing from the past to the future. The averaging (3.18) is carried out with respect to collision parameters of two particles, which are diverging after collision with each other. The reverse equations of kinetics and hydrodynamics are the result of this roughening. These equations are true for the progressive direction of timing on the time axis pointing from the future to the past. Solutions to the reverse equations of kinetics and hydrodynamics are also applicable to interpret observed system evolution with regressive timing along the time axis pointing from the past to the future.

Suppose that each system in ensemble consists of N particles. Let the evolution of ensemble systems be described by the direct set (3.14). At some time t, let us reverse the sign of velocities of all N particles of all the systems in ensemble, , , and reckon time in the direction of its decrease,. As a result of this inversion, in accordance with the laws of classic mechanics, all the particles of all the systems in ensemble will move in the opposite direction. The reverse Equation (3.23) should describe the reverse movement of particles. Indeed, reverse Equation (3.23) can be obtained from direct Equation (3.14) also by the inversion of velocities and time. However, to implement the reverse movement in system, it is not necessary to change the direction of timing. It is enough to change the direction of velocities of all the particles of system, then, the system will move back with progressive direction of timing.

Processes occurring in nature are objective events, while the choice of the direction of timing on the time axis is a subjective process. Time is reckoned by an observer, while processes occurring in nature are absolutely insensitive to the direction in which the observer counts the time. Therefore, if the reverse Equation (3.23) are capable to describe the reverse motion of systems in ensemble for progressive direction of timing on the time axis pointing from the future to the past, then the same equations must describe the reverse movement of systems in ensemble for progressive direction of timing on the time axis pointing from the past to the future.

This means the followings. Let us reckon the time in progressive direction both along the time axis pointing from the future to the past and along the time axis pointing from the past to the future. Let us begin to observe some phenomenon, agreeing upon the origin for two directions of timing. On finding solution to the reverse Equations (3.23), we obtain the distribution of hydrodynamic values, their spatial and temporal derivatives. Let the calculated values agree well with the values observed in the direction of increasing time on the time axis pointing from the future to the past. Then, we also find the agreement between the calculated reverse distributions of hydrodynamic values, their spatial and temporal derivatives and the values observed in the direction of increasing time on the time axis pointing from the past to the future. However, there exist no direct equations that would satisfy the distributions of reverse hydrodynamic values, their spatial and temporal derivatives.

Cite this paper

Igor V.Lebed, (2014) About Appearance of the Irreversibility. *Open Journal of Fluid Dynamics*,**04**,298-320. doi: 10.4236/ojfd.2014.43023

References

- 1. Lebed, I.V. and Umanskii, S.Y. (2007) The Appearance and Development of Turbulence in a Flow Past a Sphere: Problems and the Existing Approaches to Their Solution. Russian Journal of Physical Chemistry B, 1, 52-73.
- 2. Lebed, I.V. and Umanskii, S.Y. (2012) On the Possibility of Improving Classic Hydrodynamics Equations by an Increase in the Number of Hydrodynamic Values. Russian Journal of Physical Chemistry B, 6, 149-162.
- 3. Lebed, I.V. (2013) About the Prospects for Passage to Instability. Open Journal of Fluid Dynamics, 3, 214-229.

http://dx.doi.org/10.4236/ojfd.2013.33027 - 4. Lebed, I.V. (1996) Method of Two-Particle Distribution Functions. Hydrodynamic Equations. Chemical Physics Reports, 15, 861-883.
- 5. Lebed, I.V. (1997) The Method of Pair Functions as Applied to the Problem of a Flow around a Quiescent Solid Sphere. Chemical Physics Reports, 16, 1263-1301.
- 6. Lebed, I.V. (1998) About the Behavior of the Entropy of a Gas Flow Losing Its Stability. Chemical Physics Reports, 17, 411-439.
- 7. Lebed, I.V. (2014) Development of Instability in the Problem of Flow around a Sphere. Russian Journal of Physical Chemistry B, 8, 240-253.
- 8. Lebed, I.V. (2014) Multimoment Hydrodynamics in Problem on Flow around a Sphere: Entropy Interpretation of the Appearance and Development of Instability. Open Journal of Fluid Dynamics, 4, 163-206.

http://dx.doi.org/10.4236/ojfd.2014.42015 - 9. Lebed, I.V. (1996) Hydrodynamic Equations Stemming from Two Particle Distributions in the Limit of Weak Non-equilibrium. Analysis of Invertibility of Equations. Chemical Physics Reports, 15, 1725-1750.
- 10. Einstein, A. and Besso, M. (1972) Correspondence 1903-1955. Hermann, Paris.
- 11. Prigogine, I. (1999) Laws of Nature, Probability and Time Symmetry Breaking. Physica A: Statistical Mechanics and Its Applications, 263, 528-539.

http://dx.doi.org/10.1016/S0378-4371(98)00527-5 - 12. Liboff, R.L. (1969) Introduction to the Theory of Kinetic Equations. Willey, New York/London/Sydney/Toronto.
- 13. Bogolubov, N.N. (1946) The Problems of Dynamic Theory in Statistical Physics. Gostechizdat, Moscow-Leningrad.
- 14. Lebed, I.V. (1990) Equations of Pair Distribution Functions. Chemical Physics Letters, 165, 226-228.

http://dx.doi.org/10.1016/0009-2614(90)85433-D - 15. Lebed, I.V. (1995) Derivation of the Equations for Pair Distribution Functions. Chemical Physics Reports, 14, 599-615.
- 16. Boltzmann, L. (1896) Entgegnung auf die Warmetheoretischen Betrachtungen des Hrn. Zermelo. Annalen der Physik, 57, 773-784.
- 17. Orban, J. and Bellemance, A. (1967) Velocity-Inversion and Irreversibility in a Dilute Gas of Hard Discs. Physics Letters A, 24, 1132-1140.
- 18. Lebed, I.V. (1995) Equations for a One-Particle Distribution Function. Chemical Physics Reports, 13, 1132-1140.
- 19. Ferziger, J.H. and Kaper, H.G. (1972) Mathematical Theory of Transport Processes in Gases. North-Holland Publishing Company, Amsterdam.
- 20. Gibbs, J.W. (1982) Thermodynamics. Statistical Mechanics. Nauka, Moscow.
- 21. Zermelo, E. (1896) Uber einen Satz der Dynamik and die mechanische Warmetheorie. Annalen der Physik, 57, 485-494.
- 22. Loschmidt, J. (1876) Uber den Zustand des Warmegleichgewichtes eines Systems von Korpern mit Rücksicht auf die Schwerkraft. Wien. Ber., 73, 128-142.
- 23. Boltzmann, L. (1894-1895) On Certain Question of the Theory of Gases. Nature, 51, 413-415.

http://dx.doi.org/10.1038/051413b0 - 24. Boltzmann, L. (1897) Zu Hrn. Zermelo’s Abhandlung “Uber die mechanische Erklarung Irreversibler Vorgangre”. Annalen der Physik, 60, 392-398.