Irreversible process

In science, a process that is not reversible is called irreversible. This concept arises most frequently in thermodynamics.

In thermodynamics, a change in the thermodynamic state of a system and all of its surroundings cannot be precisely restored to its initial state by infinitesimal changes in some property of the system without expenditure of energy. A system that undergoes an irreversible process may still be capable of returning to its initial state; however, the impossibility occurs in restoring the environment to its own initial conditions. An irreversible process increases the entropy of the universe. However, because entropy is a state function, the change in entropy of the system is the same whether the process is reversible or irreversible. The second law of thermodynamics can be used to determine whether a process is reversible or not.

All complex natural processes are irreversible.[1][2][3][4] The phenomenon of irreversibility results from the fact that if a thermodynamic system, which is any system of sufficient complexity, of interacting molecules is brought from one thermodynamic state to another, the configuration or arrangement of the atoms and molecules in the system will change in a way that is not easily predictable.[5][6] A certain amount of "transformation energy" will be used as the molecules of the "working body" do work on each other when they change from one state to another. During this transformation, there will be a certain amount of heat energy loss or dissipation due to intermolecular friction and collisions; energy that will not be recoverable if the process is reversed.

Many biological processes that were once thought to be reversible have been found to actually be a pairing of two irreversible processes. Whereas a single enzyme was once believed to catalyze both the forward and reverse chemical changes, research has found that two separate enzymes of similar structure are typically needed to perform what results in a pair of thermodynamically irreversible processes.[7]

Absolute versus statistical reversibility

Thermodynamics defines the statistical behaviour of large numbers of entities, whose exact behavior is given by more specific laws. Since the fundamental theoretical laws of physics are all time-reversible,[8] however experimentally, probability of real reversibility is low, former presuppositions can be fulfilled and/or former state recovered only to higher or lower degree (see: uncertainty principle). The irreversibility of thermodynamics must be statistical in nature; that is, that it must be merely highly unlikely, but not impossible, that a system will lower in entropy.

History

The German physicist Rudolf Clausius, in the 1850s, was the first to mathematically quantify the discovery of irreversibility in nature through his introduction of the concept of entropy. In his 1854 memoir "On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat" Clausius states:

“ It may, moreover, happen that instead of a descending transmission of heat accompanying, in the one and the same process, the ascending transmission, another permanent change may occur which has the peculiarity of not being reversible without either becoming replaced by a new permanent change of a similar kind, or producing a descending transmission of heat. ”

Simply, Clausius states that it is impossible for a system to transfer heat from a cooler body to a hotter body. For example, a cup of hot coffee placed in an area of room temperature (~72 °F) will transfer heat to its surroundings and thereby cool down with the temperature of the room slightly increasing (~72.3 °F). However, that same initial cup of coffee will never absorb heat from its surroundings causing it to grow even hotter with the temperature of the room decreasing (~71.7 °F). Therefore, the process of the coffee cooling down is irreversible unless extra energy is added to the system.

However, a paradox arose when attempting to reconcile microanalysis of a system with observations of its macrostate. Many processes are mathematically reversible in their microstate when analyzed using classical Newtonian mechanics. From 1872 to 1875, Ludwig Boltzmann reinforced the statistical explanation of this paradox in the form of Boltzmann's entropy formula stating that as the number of possible microstates a system might be in increases, the entropy of the system increases and it becomes less likely that the system will return to an earlier state. His formulas quantified the work done by William Thomson, 1st Baron Kelvin who had argued that:

“ The equations of motion in abstract dynamics are perfectly reversible; any solution of these equations remains valid when the time variable t is replaced by –t. Physical processes, on the other hand, are irreversible: for example, the friction of solids, conduction of heat, and diffusion. Nevertheless, the principle of dissipation of energy is compatible with a molecular theory in which each particle is subject to the laws of abstract dynamics. ”

[9][10]

Another explanation of irreversible systems was presented by French mathematician Henri Poincaré. In 1890, he published his first explanation of nonlinear dynamics, also called chaos theory. Applying the chaos theory to the second law of thermodynamics, the paradox of irreversibility can be explained in the errors associated with scaling from microstates to macrostates and the degrees of freedom used when making experimental observations. Sensitivity to initial conditions relating to the system and its environment at the microstate compounds into an exhibition of irreversible characteristics within the observable, physical realm.[11]

Irreversible adiabatic process: If the cylinder is a perfect insulator, the initial top-left state cannot be reached anymore after it is changed to the one on the top-right. Instead, the state on the bottom left is assumed when going back to the original pressure because energy is converted into heat.

Examples of irreversible processes

In the physical realm, many irreversible processes are present to which the inability to achieve 100% efficiency in energy transfer can be attributed. The following is a list of spontaneous events which contribute to the irreversibility of processes.[12]

A Joule expansion is an example of classical thermodynamics, as it is easy to work out the resulting increase in entropy. It occurs where a volume of gas is kept in one side of a thermally isolated container (via a small partition), with the other side of the container being evacuated; the partition between the two parts of the container is then opened, and the gas fills the whole container. The internal energy of the gas remains the same, while the volume increases. The original state cannot be recovered by simply compressing the gas to its original volume, since the internal energy will be increased by this compression. The original state can only be recovered by then cooling the re-compressed system, and thereby irreversibly heating the environment. The diagram to the right applies only if the first expansion is "free" (Joule expansion). i.e. there can be no atmospheric pressure outside the cylinder and no weight lifted.

Complex systems

The difference between reversible and irreversible events has particular explanatory value in complex systems (such as living organisms, or ecosystems). According to the biologists Humberto Maturana and Francisco Varela, living organisms are characterized by autopoiesis, which enables their continued existence. More primitive forms of self-organizing systems have been described by the physicist and chemist Ilya Prigogine. In the context of complex systems, events which lead to the end of certain self-organising processes, like death, extinction of a species or the collapse of a meteorological system can be considered as irreversible. Even if a clone with the same organizational principle (e.g. identical DNA-structure) could be developed, this would not mean that the former distinct system comes back into being. Events to which the self-organizing capacities of organisms, species or other complex systems can adapt, like minor injuries or changes in the physical environment are reversible. However, adaptation depends on import of negentropy into the organism, thereby increasing irreversible processes in its environment. Ecological principles, like those of sustainability and the precautionary principle can be defined with reference to the concept of reversibility.[13][14][15][16][17][18][19][20][21][22]

See also

References

  1. ↑ Lucia, U (1995). "Mathematical consequences and Gyarmati's principle in Rational Thermodynamics". Il Nuovo Cimento B110 (10): 1227–1235. doi:10.1007/bf02724612.
  2. ↑ Grazzini; Lucia, U. (1997). "Global analysis of dissipations due to irreversibility". Revue Gènèrale de Thermique 36: 605–609. doi:10.1016/s0035-3159(97)89987-4.
  3. ↑ Lucia, U. (2008). "Probability, ergodicity, irreversibility and dynamical systems". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 464: 1089–1104. Bibcode:2008RSPSA.464.1089L. doi:10.1098/rspa.2007.0304.
  4. ↑ Grazzini G. e Lucia U., 2008 Evolution rate of thermodynamic systems, 1st International Workshop "Shape and Thermodynamics" – Florence 25 and 26 September 2008, pp. 1-7
  5. ↑ Lucia U., 2009, Irreversibility, entropy and incomplete information, Physica A: Statistical Mechanics and its Applications, 388, pp. 4025-4033
  6. ↑ Lucia, U (2008). "Statistical approach of the irreversible entropy variation". Physica A: Statistical Mechanics and its Applications 387 (14): 3454–3460. doi:10.1016/j.physa.2008.02.002.
  7. ↑ Lucia U., "Irreversible Entropy in Biological Systems", EPISTEME
    Lucia, U.; Maino, G. (2003). "Thermodynamical analysis of the dynamics of tumor interaction with the host immune system". Physica A: Statistical Mechanics and its Applications 313 (3-4): 569–577. doi:10.1016/S0378-4371(02)00980-9.
  8. ↑ David Albert on Time and Chance
  9. ↑ Bishop, R.C. et al. "Irreversibility in Quantum Mechanics." Received 19 January 2004.
  10. ↑ Lebowitz, Joel. "Microscopic Reversibility and Macroscopic Behavior: Physical Explanations and Mathematical Derivations." Rutgers University. Nov 1, 1994.
  11. ↑ "The 2nd Law of Thermodynamics".Page dated 2002-2-19. Retrieved on 2010-4-01.
  12. ↑ Moran, John (2008). "Fundamentals of Engineering Thermodynamics", p. 220. John Wiley & Sons, Inc., USA. ISBN 978-0-471-78735-8.
  13. ↑ Lucia, Umberto (1998). "Maximum principle and open systems including two-phase flows". Revue Gènèrale de Thermique 37: 813–817. doi:10.1016/s0035-3159(98)80007-x.
  14. ↑ Lucia U., Irreversibility and entropy in Rational Thermodynamics, Ricerche di Matematica, L1 (2001) 77-87
  15. ↑ Lucia, U.; Gervino, G. (2005). "Thermoeconomic analysis of an irreversible Stirling heat pump cycle". The European Physical Journal B 50: 367–369. doi:10.1140/epjb/e2006-00060-x.
  16. ↑ Lucia, Umberto; Maino, G. (2006). "The relativistic behaviour of the thermodynamic Lagrangian". Il Nuovo Cimento B 121 (2): 213–216. Bibcode:2006NCimB.121..213L. doi:10.1393/ncb/i2006-10035-8.
  17. ↑ Lucia, U. (2007). "Irreversible entropy variation and the problem of the trend to equilibrium". Physica A: Statistical Mechanics and its Applications 376: 289–284. Bibcode:2007PhyA..376..289L. doi:10.1016/j.physa.2006.10.059.
  18. ↑ Lucia, U.; Gervino, G. (2009). "Hydrodynamics cavitation: from theory towards a new experimental approach". Central European Journal of Physics 7 (3): 638–644.
  19. ↑ Lucia, U (2009). "Irreversibility, entropy and incomplete information". Physica A: Statistical Mechanics and its Applications 388: 4025–4033. Bibcode:2009PhyA..388.4025L. doi:10.1016/j.physa.2009.06.027.
  20. ↑ Lucia, U. (2009). "Irreversibility, entropy and incomplete information". Physica A: Statistical Mechanics and its Applications 388 (19): 4025–4033. Bibcode:2009PhyA..388.4025L. doi:10.1016/j.physa.2009.06.027.
  21. ↑ Lucia U., 2009, The thermodynamic Lagrangian, in Pandalai S.G., 2009, Recent Research Developments in Physics, Vol. 8, pp. 1-5, ISBN 978-81-7895-346-5
  22. ↑ Lucia U., 2010, Maximum entropy generation and κ−exponential model, Physica A 389, pp. 4558-4563 Lucia, U. (2010). "Maximum entropy generation and κκ-exponential model". Physica A: Statistical Mechanics and its Applications 389: 4558–4563. Bibcode:2010PhyA..389.4558L. doi:10.1016/j.physa.2010.06.047.
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