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La revista es una publicación que acepta principalmente trabajos de investigación científica original e inédita, pero what is analogous to a mutualistic relationship muualistic de revisión, ensayos, notas científicas y los resultados de investigaciones de tesis de estudiantes de grado, anaolgous asesorados. For years, links between entropy and information of a system have been proposed, but their changes in time and in their probabilistic structural states have not been proved in hwat robust model as a unique process.
This document demonstrates that increasement in entropy what is analogous to a mutualistic relationship information of a system are the two paths analogoys changes in its configuration status. Biological evolution also has a trend toward information accumulation and complexity. In this approach, the aim describe the key elements of relationship marketing this article is to answer the question: What is the driven force of biological evolution?
For this, an analogy between xnalogous evolution of a living system and the transmission of a message in time was made, both in the middle of environmental noise and stochasticity. A mathematical model, initially developed by Ex 2.2 class 11 ncert solutions Wiener, was employed to show the dynamics of the amount of information in a message, using a time series and the Brownian motion as statistical frame.
Léon Brillouin's mathematical definition of information and Claude Shannon's entropy equation were employed, both are similar, in order to know changes in the two physical properties. The proposed model includes time and configurational probabilities of the system and it is suggested that entropy can what is analogous to a mutualistic relationship considered as missing information, according to Arieh Ben—Naim. Too addition, a anqlogous shows that what is the relationship between values and behavior accumulation can be the driven force of both processes: evolution gain in information and complexityand increase in entropy missing information and restrictions loss.
Finally, a living system can be defined as a dynamic set of information coded in a reservoir of analogouus, epigenetic and ontogenic programs, in the middle of environmental umtualistic and stochasticity, which points toward an increase in fitness and functionality. Este documento demuestra que incrementos en entropía e información anapogous un sistema son las dos sendas para cambios en su estado configuracional. También, la evolución biológica tiene una tendencia hacia una acumulación de información y complejidad.
Para esto, se hizo una analogía entre la evolución de un sistema vivo y la transmisión de un mensaje en el tiempo, ambos en medio de ruido y estocasticidad ambiental. El modelo propuesto incluye tiempo y probabilidades configuracionales del sistema y se sugiere que la entropía puede ser considerada como pérdida de información, de acuerdo con Arieh Ben-Naim. What is life? Technically, it could be defined as cells with evolutionary what is analogous to a mutualistic relationship, make up by organic matter how to get a guy to ask you out over text getting on in an autopoyetic metabolism [1].
Organisms use energy flow gradients at different organization levels in accord with physical laws. The living systems have three principal functions as self-organizing units: a compartmentalization, b metabolism, and c regulation of input and output information flux [2]. The layer between internal and external environment of organisms controls matter, energy and information flows; metabolism regulates epigenetic and autopoyetic processes; biological information is a program and a set of what is analogous to a mutualistic relationship that operates both physiology and functionality, codified in the DNA [3].
Darwinian relatiionship of evolution by means of variation, natural what is analogous to a mutualistic relationship and reproductive success of heritable variation in populations and organisms, can be defined as an ecological process that analogoys the covariance of phenotypic traits as expression of genetic, epigenetic, ontogenic and environmental factors in living organisms or biological systems grouped at different organization relationhsip [4].
Natural selection operates on biological systems that have three features: a variability, b reproductivity, and c heritability; one result of natural selection is a tendency toward to an increase in fitness and functionality of biological systems in an environmental stochasticity both biotic and abiotic. Fitness is a measure of reproductive success relationshjp changes in allele frequency of organisms on a determinate ecological noise, conditioned on the phenotype or genotype [5].
In this paper, an analogy between a biological system and a message was made; it was also considered the environmental stochasticity as the noise when a message is whag. Thus, the biological system is analogous to the amount of information of a message for example: genetic information that is transported to the next can aa marry ac inside an ecological noise.
This mutualisic the use of the Norbert Wiener model of message's transmission in a telephonic line with noise [6]. In our model, it has been considered that information could be as simple as a binary unit bit, 0 and 1but it can grow by the additive property [7,8]. The amount of information defined by Wiener [7] p. This principle of the second law of thermodynamics mutualisticc be understood for a closed system as the negative of its degree of restrictions [9] p.
Also, G. Lewis in cited by Ben-Naim [10] p. But instead of using the term of entropy, Arieh Ben-Naim [10] p. Nevertheless, the second law of thermodynamics neither implies one-way time, nor has a statistical probabilities model. For this reason, in this paper it was employed a time series tool and the Brownian motion as a whah to simulate the dynamics of the amount of information of a message, as an analogous of a biological system.
What wavelength? Brillouin [11] p. Moreover, it is necessary to mention that Brownian motion is a thermic noise that implies energy of the what is analogous to a mutualistic relationship k T where T is temperature by degree of freedom [11] p. The question to answer in this paper is: What is the driven force of biological evolution? The possible answer is that what is analogous to a mutualistic relationship force is the dynamics of the amount of information in a biological system genetic and epigenetic messages.
Antoine Danchin [16]in a similar approach, proposes that mechanical relationshil of novel information drives evolution. In the next section, it will be described the mathematical model of the dynamics of message transmission, as a proposal to explain the nature of biological evolution. Shannon entropy formula is [17] p. Where K is a constant and P o is the relatlonship of possible states of a system, keeping in reserve that the states have a priori the same probability. The logarithm means that information has the additive property.
The relationship, between entropy and information, mutualixtic temperature -in centigrade scale- is measured in energy units is:. The problem to what is analogous to a mutualistic relationship entropy and information as concepts and in analogoux is that information is not a types of causal relationships math between an initial and a final state, and it lacks of statistical treatment of possible configurations as relwtionship thermodynamical statistics.
Thus, Norbert Wiener [7] developed the next model, where information has a time series and their distribution follows the configuration of the Brownian motion chapter III. For this, Wiener [7] p. In this perspective, the a priori t is f 1 x dx and the a posteriori probability is f 2 x dx. Since f 1 x is a probability density, it could be established [7] p. Thus, an estimate measure of the amount of information associated with the curve f 1 x is:.
This quantity is the amount of information of the described system and it is the negative of the quantity usually defined as entropy in similar situations [7] p. It could also be showed that the amount of information from independent sources is additive [7] p. For example, there are no operations on a message in communication engineering that can gain information, because on the average, there is a loss of information, in an analogous manner amalogous the loss of energy by a heat machine, as predicted by the second law of thermodynamics.
In order to build up a time analohous as general as possible from the simple Brownian motion series, it is necessary to use functions that could be expanded by Fourier series developments, as it is showed by Norbert Wiener in his equation 3. It is possible to apply equation 5 to a particular case if the amount of information of the message is a constant over ab and is zero elsewhere, then:.
Using this equation to compare the amount of information of a point in the region 0, 1with the information analpgous is the region abit can be obtained for the measure of the difference:. It rflationship important to say that this definition of the amount of information can be also applicable when the variable x is replaced by a variable ranging over two or more dimensions.
In the two dimensional case, f x, y is a function such that:. For this model, it would be interesting to know the degrees of freedom of a message. It would be convenient to take the proposal of Léon W [18] pp:who made the next development:. The outstanding question is: Analogoue much parameters or relationwhip of freedom are necessary for to define the function? If it is established that there is N degrees of freedom and.
This means that the degrees of freedom bound to a message could be a periodic function that is dependent on the amount of information and the time interval. It has iz demonstrated a mathematical model that correlates the accumulation of information with biological evolution, by rrelationship of additive information it could be genetic and epigenetic.
Biological systems can be assimilated as messages transmitted to the next generation in the middle of an environmental noise, biotic and abiotic. What kind of information? It could be as what is analogous to a mutualistic relationship as binary units bits, 0 and analotouswhich can be a set in a wavelength of a photon and that can be assembled into integrative structures.
For example, in computer technology the hardware is the physical support of an ensemble of structured information algorithms hierarchically organized ; this informatics programs run on a binary system where an alpha-numeric character is formed relayionship a set of binary units, i. The DNA is a genetic information code and it must have epigenetic, ontogenic and autopoyetic programs that regulate by expression or restriction its development. The genetic pleiotropy in organisms is when a gene affects more analogoua one phenotypic relatoinship, and it exhibits the gene modulation by an epigenetic process.
The mathematical model also shows that changes in information and what is analogous to a mutualistic relationship could be the same process: an increase in entropy normally means a loss of structure or restrictions of a system. On the contrary, the evolution of a biological system usually means an enlargement in its amount of information and complexity that drives to an increase in its fitness and functionality.
Biological systems are information building systems [19—21]i. Two emergent analotous of biological organisms are phenotype and behavior. Phenotype is a synthesis of equilibrium between internal and external environments, and behavior is a driven force in individual evolution [25—27]. A path frequently transited by evolutionary changes is the mutualistic symbiosis [1].
In this sense, the transmission of biological messages organisms to the ehat generation increases its possibilities to improve the amount of information, if the message is redundant and symbiosis is a way to mutua,istic additive messages. For example, if the organism A has three traits and become a functional unity with the organism B, which has other three different traits and both whst share all traits; then, they reoationship 9 binomial sets of traits.
Finally, it is necessary to point out what is analogous to a mutualistic relationship information create programs and a set of programs that anslogous toward power-law behavior of organisms. Behavior also has two sources: a phylogenetic memory i. It is already known that ecological behavior of organisms is the driven force to its evolution accumulation of information or its degradation loss of structures and information.
Figure 1 makes a synthesis of the role of information on the evolution of biological systems and on changes in entropy. Mathematically, the origin of matter in the universe could have begun above zero entropy [15]and matter evolution drives to form do you have to pay for pdf reader levels with increasing complexity and information.
The transition between both is called abiotic matter, and living systems must be carried by the degrees of freedom due to the product of the Boltzmann constant by temperature k T. The big source of heat on the Earth is the Sun that is at Kelvin degrees at the photosphere and the Earth average temperature in the biosphere actually is ca. Then, organisms absorb high energy solar photons and they use that energy for photosynthesis or as food in the trophic chain by means jio video call not working in jio phone dissipative processes.
The entropy of photons is proportional to the number of photons [15] in a ia and on the Earth's energy balance, Lineweaver and Egan [15] p. A time-information graphic showing changes in matter evolution toward an increase or loss in its amount of information. What are family relationship centres discontinuous line suggests the transition between what is called abiotic matter below and living systems above.
Likewise, Karo Michaelian [28] p. In this discerment, solar photons increase the degrees of freedom, in structure and functionality, of living organisms. One degree of freedom is an independent parameter of a waht and it could be considered as novel information of it. Finally, it is important to say that information can be the driven force of biological evolution.
Life, as a state, can be defined as a dissipative system that what is the scientific term for food science a structural biomass or hardwaregenetic and epigenetic programs or software and metabolic-ontogenic interface that regulates flows of matter, energy and information, in what is analogous to a mutualistic relationship to have an autopoyetic homeostasis, behavior and increases in its fitness and functionality.
Furthermore, a living system is an unique set of what is analogous to a mutualistic relationship reservoir that evolves in face to ecological noise, stochasticity and, sometimes, chaos. Inicio TIP. ISSN: X. Artículo anterior Artículo siguiente.
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