Conselho Nacional de Desenvolvimento Científico e Tecnológico / Em modelos inflacionários não-isentrópicos, a contribuição para o espectro de potência é essencialmente proveniente das flutuações térmicas. Esta é a situação oposta a da inflação fria, onde as flutuações de origem quântica fornecem toda contribuição para o espectro. Pouca ou nenhuma importância tem sido dada ao regime intermediário, onde as flutuações quânticas e térmicas são comparáveis. Neste trabalho, tendo como bases a inflação não-isentrópica e a inflação estocástica de Starobinsky, propomos um quadro geral onde é possível tratar de maneira conjunta, explícita e transparente tanto a contribuição de origem quântica quanto a de origem térmica para o espectro de potência do inflaton.O espectro de potência geral obtido reproduz, nos limites apropriados, todos os resultados caracteríssticos tanto da inflação fria, quanto da inflação não-isentrópica. Com o objetivo de checar a consistência e a viabilidade do modelo, foram usados os típicos potenciais polinomiais característicos da inflação caótica. Apesar destes potenciais já estarem praticamente descartados pelas observações no contexto da inflação fria, surpreendentemente pudemos constatar que efeitos dissipativos e de temperatura são capazes de restaurar a compatibilidade dos mesmos com os parâmetros cosmológicos inferidos através dos dados do nono ano do WMAP. Através da inserção de tais efeitos na dinâmica de grandes escalas do inflaton, estendemos ainda alguns resultados relacionados ao cenário conhecido como inflação eterna. / In nonisentropic inflationary models, the contribution to the power spectrum is essentially derived from thermal fluctuations. This is the opposite situation than the cold inflation, where the quantum fluctuations provide the total contribution to the spectrum.Little or no importance has been given to the intermediate case, where quantum and thermal contributions are comparable. In this work, relying on nonisentropic inflation and Starobinsky's stochastic inflation program, we propose a general framework that aims to describe explicitly and in a transparent way both quantum and thermal contributions to the inflaton power spectrum. The result for the power spectrum reproduces, when we take appropriate limits, the standard expressions of cold and nonisentropic inflation. In order to check model consistence and its viability, we made use of typical single field polynomial-type inflaton potential. Despite this kind of potential be strongly disfavored by observations in the cold inflation context, we surprisingly found that dissipative and temperature effects are able to restore their compatibility with cosmological parameters inferred from 9-year WMAP data. Farther, by inserting such effects on the large scale dynamics of inflaton field, we extend some results related to the eternal inflation scenario.

Conselho Nacional de Desenvolvimento Científico e Tecnológico / Em modelos inflacionários não-isentrópicos, a contribuição para o espectro de potência é essencialmente proveniente das flutuações térmicas. Esta é a situação oposta a da inflação fria, onde as flutuações de origem quântica fornecem toda contribuição para o espectro. Pouca ou nenhuma importância tem sido dada ao regime intermediário, onde as flutuações quânticas e térmicas são comparáveis. Neste trabalho, tendo como bases a inflação não-isentrópica e a inflação estocástica de Starobinsky, propomos um quadro geral onde é possível tratar de maneira conjunta, explícita e transparente tanto a contribuição de origem quântica quanto a de origem térmica para o espectro de potência do inflaton.O espectro de potência geral obtido reproduz, nos limites apropriados, todos os resultados caracteríssticos tanto da inflação fria, quanto da inflação não-isentrópica. Com o objetivo de checar a consistência e a viabilidade do modelo, foram usados os típicos potenciais polinomiais característicos da inflação caótica. Apesar destes potenciais já estarem praticamente descartados pelas observações no contexto da inflação fria, surpreendentemente pudemos constatar que efeitos dissipativos e de temperatura são capazes de restaurar a compatibilidade dos mesmos com os parâmetros cosmológicos inferidos através dos dados do nono ano do WMAP. Através da inserção de tais efeitos na dinâmica de grandes escalas do inflaton, estendemos ainda alguns resultados relacionados ao cenário conhecido como inflação eterna. / In nonisentropic inflationary models, the contribution to the power spectrum is essentially derived from thermal fluctuations. This is the opposite situation than the cold inflation, where the quantum fluctuations provide the total contribution to the spectrum.Little or no importance has been given to the intermediate case, where quantum and thermal contributions are comparable. In this work, relying on nonisentropic inflation and Starobinsky's stochastic inflation program, we propose a general framework that aims to describe explicitly and in a transparent way both quantum and thermal contributions to the inflaton power spectrum. The result for the power spectrum reproduces, when we take appropriate limits, the standard expressions of cold and nonisentropic inflation. In order to check model consistence and its viability, we made use of typical single field polynomial-type inflaton potential. Despite this kind of potential be strongly disfavored by observations in the cold inflation context, we surprisingly found that dissipative and temperature effects are able to restore their compatibility with cosmological parameters inferred from 9-year WMAP data. Farther, by inserting such effects on the large scale dynamics of inflaton field, we extend some results related to the eternal inflation scenario.

<p dir="ltr">In this dissertation, I use methods of theoretical physics to study principles governing the stochastic dynamics of living timekeepers in a few different contexts. First, focusing on the phenomenon of stochastic growth and division processes in the simplest living organism (the bacterial cell), I present a procedure for analyzing high-throughput, high-precision dynamic datasets to identify emergent simplicities, in particular scaling laws, that provide new insights into a long-standing problem (that of cell size homeostasis). Recasting the question from a stochastic, intergenerational viewpoint (i.e., one that considers the entire life histories of individual cells without recourse to a priori mechanistic assumptions), and taking advantage of identified emergent simplicities to achieve dimensional reduction of the problem, permits a reformulation that captures the inherent stochasticity of individual cells. Identification of discrete modes by which homeostasis is maintained---in particular, via reflexive (elastic) adaptation of cell size and reflective (plastic) adaptation of growth rate---provides important insights into key system constraints that govern living bacterial cells, with additional implications for the design of functional adaptive synthetic homeostats. The observation of non-Markovian dynamics in single-cell growth rates implies the existence of intergenerational memory and plastic adaptation in these simple organisms. I also present my work on the process of early endosomal maturation in human cell lines, multi- fork DNA replication in Escherichia coli cells, and a physics principle and theory predictions for emergent periodicity in a decentralized follow-the-leader dynamic in a collective of randomly signaling agents. This body of work provides mechanistic insights into how temporal organization in outcomes emerges despite the inherently stochastic nature of the constituent dynamics, with each system adopting its own mechanism to achieve this universal goal.</p>

Durante as últimas décadas, pesquisas em biologia do tumor com a utilização de novas técnicas de biologia molecular produziram informações em profusão, motivando e dando condições para que fossem criados novos modelos matemáticos dedicados à análise de vários aspectos de crescimento e proliferação da população celular. Alguns desses modelos têm sido dedicados à descrição e análise do regime estacionário do processo de desenvolvimento de uma população celular sob condições químicas que se consideram favorecer a aceleração ou desaceleração do crescimento da população de células tumorais. Todavia, a dinâmica temporal do crescimento de uma população de células tumorais ainda não foi analisada nesses trabalhos. Uma das dificuldades é o estabelecimento da interação entre células de múltiplos tipos que sirvam como descrição para essa dinâmica. Nosso trabalho vem preencher essa lacuna e a presente dissertação tem como objetivo a apresentação do modelo, desenvolvido por nós, de simulação da dinâmica do crescimento e proliferação celular do melanoma (câncer de baixa incidência, mas de letalidade extremamente alta) e também dos resultados obtidos através das simulações deste modelo computacional / During the last decades, tumor biology research with the use of new techniques in molecular biology resulted in a profusion of information that have given conditions and motivated the development of new mathematical models dedicated to analyzing various aspects of growth and proliferation of the cell population. Some of these models have been devoted to the description and analysis of the steady state of the development process of a cell population under chemical conditions that, in theory, promote the acceleration or deceleration of the growth of tumor cell population. However, these studies have not yet analyzed the temporal dynamics of growth of a tumor cell population. One of the difficulties is the establishment of the interaction between cells of multiple types that serve as the description for this dynamic. Our work fills this gap and this dissertation aims to present the model, developed by us, to simulate the growth dynamics and cellular proliferation of melanoma (cancer of low incidence but of extremely high lethality) and the results obtained through the simulations of this computational model

Durante as últimas décadas, pesquisas em biologia do tumor com a utilização de novas técnicas de biologia molecular produziram informações em profusão, motivando e dando condições para que fossem criados novos modelos matemáticos dedicados à análise de vários aspectos de crescimento e proliferação da população celular. Alguns desses modelos têm sido dedicados à descrição e análise do regime estacionário do processo de desenvolvimento de uma população celular sob condições químicas que se consideram favorecer a aceleração ou desaceleração do crescimento da população de células tumorais. Todavia, a dinâmica temporal do crescimento de uma população de células tumorais ainda não foi analisada nesses trabalhos. Uma das dificuldades é o estabelecimento da interação entre células de múltiplos tipos que sirvam como descrição para essa dinâmica. Nosso trabalho vem preencher essa lacuna e a presente dissertação tem como objetivo a apresentação do modelo, desenvolvido por nós, de simulação da dinâmica do crescimento e proliferação celular do melanoma (câncer de baixa incidência, mas de letalidade extremamente alta) e também dos resultados obtidos através das simulações deste modelo computacional / During the last decades, tumor biology research with the use of new techniques in molecular biology resulted in a profusion of information that have given conditions and motivated the development of new mathematical models dedicated to analyzing various aspects of growth and proliferation of the cell population. Some of these models have been devoted to the description and analysis of the steady state of the development process of a cell population under chemical conditions that, in theory, promote the acceleration or deceleration of the growth of tumor cell population. However, these studies have not yet analyzed the temporal dynamics of growth of a tumor cell population. One of the difficulties is the establishment of the interaction between cells of multiple types that serve as the description for this dynamic. Our work fills this gap and this dissertation aims to present the model, developed by us, to simulate the growth dynamics and cellular proliferation of melanoma (cancer of low incidence but of extremely high lethality) and the results obtained through the simulations of this computational model

Off-road and racing motorcycles require a particular setup of the suspension to improve the comfort and the safety of the rider. Further, due to ground unevenness, off-road motorcycle suspensions usually experience extreme and erratic excursions in performing their function. In this regard, the adoption of nonlinear devices, such as progressive springs and hydro pneumatic shock absorbers, can help limiting both the acceleration experienced by the sprung mass and the excursions of the suspensions. For dynamic analysis purposes, this option involves the solution of the nonlinear differential equations that govern the motion of the motorcycle, which is excited by the stochastic road ground profile. In this study a 4 degrees-of-freedom (4-DOF) nonlinear motorcycle model is considered. The model involves suspension elements with asymmetric behaviour. Further, it is assumed that the motorcycle is exposed to loading of a stochastic nature as it moves with a specified speed over a road profile defined by a particular power spectrum. It is shown that a meaningful analysis of the motorcycle response can be conducted by using the technique of statistical linearization. The validity of the proposed approach is established by comparison with results from pertinent Monte Carlo studies. In this context the applicability of auto-regressive (AR) filters for efficient implementation of the Monte Carlo simulation is pointed out. The advantages of these methods for the synthesis of excitation signals from a given power spectrum, are shown by comparison with other methods. It is shown that the statistical linearization method allows the analysis of multi-degree-of-freedom (M-DOF) systems that present strong nonlinearities, exceeding other nonlinear analysis methods in both accuracy and applicability. It is expected that the proposed approaches, can be used for a variety of parameter/ride quality studies and as preliminary design tool by the motorcycle industry.

No description available.

Cette thèse porte sur la dynamique de particules dans des écoulements turbulents, en particulier sur l'apparition de structures. Deux situations physiques sont étudiées. D'une part, dans le cas du mouvement de traceurs, c'est-à-dire de particules fluides de même composition que le flot, transportés par un champ de vitesse turbulent bidimensionnel, un triplet de particules (un triangle) tend à se déformer en une structure très allongée sous l'action de l'écoulement. D'autre part, pour des particules inertielles de densité grande devant celle du fluide et soumises à une force de traînée, des distributions spatiales fortement inhomogènes peuvent apparaître, conduisant à la formation d' attracteurs étranges. L'approche suivie dans cette thèse consiste à modéliser l'action de l'écoulement turbulent en utilisant des outils de dynamique stochastique (équations de Langevin), qui permettent d'obtenir une description effective des comportements observés. Dans le cas des particules inertielles, les attracteurs sont caractérisés par une dimension fractale. L’ajout d’un bruit dans les équations du mouvement a permis d'étendre cette notion à des valeurs de dimension négatives, intrinsèques à la dynamique en l'absence de bruit. Cette thèse établit qu'il est possible de formuler les deux problèmes physiques étudiés en termes de processus stochastiques très généraux, dont le prototype est celui décrivant la sédimentation de particules en présence de bruit thermique. La détermination des caractéristiques de la solution requiert une nouvelle approche. La solution proposée ici est basée sur la théorie des grandes déviations. / This thesis deals with the dynamics of particles in turbulent flows and the formation of structures. Two physical situations are studied. First, we consider the dynamics of tracers, that is ideal fluid particles, transported by a turbulent velocity field. A triplet of such particles forms a triangle, which tends to be flattened under the action of the incompressible flow. Second, inertial particles of density higher than that of the fluid and subjected to a viscous drag force usually cluster on regions of high concentration, leading to the formation of strange attractors. The approach followed in this thesis consists in modeling the action of the turbulent flow using tools of stochastic dynamics (such as Langevin equations), which allow us to obtain a effective description of these phenomena. For inertial particles, the attractors are characterized by a non-integer fractal dimension. The addition of an external noise in the equations of motion lead to a generalization of this notion to negative values, intrinsic to the dynamics in the absence of noise. This thesis shows that it is possible to formulate the two problems in terms of very general stochastic processes, whose prototype is the one describing the sedimentation of particles in the presence of a thermal noise. The determination of the characteristics of the solution requires a new approach. The solution proposed here is based on the large deviation theory.

No description available.

Cette thèse vise à caractériser la dynamique stochastique hors-équilibre de particules browniennes sous l’effet de confinement. Ce confinement est appliqué ici par des potentiels attractifs ou des frontières imperméables créant des barrières entropiques. Dans un premier temps, nous regardons la dispersion de particules sans interactions dans les milieux hétérogènes. Un nuage de particules browniennes s’étale au cours du temps sans atteindre la distribution d’équilibre de Boltzmann, et son étalement est alors caractérisé par une diffusivité effective inférieure à la diffusivité microscopique. Dans un premier chapitre, nous nous intéressons au lien entre la géométrie de confinement et la dispersion dans le cas particulier des microcanaux périodiques. Pour cela, nous calculons la diffusivité effective sans hypothèse de réduction de dimensionnalité, contrairement à l’approche standard dite de Fick-Jacobs. Une classification des différents régimes de dispersion est alors réalisée, pour toute géométrie autant pour les canaux continus que discontinus. Dans un second chapitre, nous étendons cette analyse à la dispersion dans les réseaux périodiques d’obstacles sphériques attractifs à courte portée. La présence d’un potentiel attractif peut, de manière surprenante, augmenter la dispersion. Nous quantifions cet effet dans le régime dilué, et montrons alors son optimisation pour plusieurs potentiels ainsi que pour une diffusion médiée par la surface des sphères. Ensuite, nous étudions la dynamique stochastique de particules browniennes dans un piège optique en présence d’une force non conservative créée par la pression de radiation du laser. L’expression perturbative des courants stationnaires, décrivant les vortex browniens, est dérivée pour les basses pressions en conservant le terme inertiel dans l’équation de Langevin sous-amortie. L’expression de la densité spectrale est également calculée permettant d’observer les anisotropies du piège et les effets de la force non conservative.La plupart des expressions analytiques obtenues durant cette thèse sont asymptotiquement exactes et vérifiées par des analyses numériques basées sur l’intégration de l’équation de Langevin ou la résolution d’équation aux dérivées partielles. / This thesis aims to characterize the out-of-equilibrium stochastic dynamics of Brownian particles under the effectof confinement. This confinement is applied here by attractive potentials or impermeable boundaries creatingentropic barriers. First, we look at the dispersion of particles without interaction in heterogeneous media. Acloud of Brownian particles spreads over time without reaching the Boltzmann equilibrium distribution, andits spreading is then characterized by an effective diffusivity lower than the microscopic diffusivity. In a firstchapter, we are interested in the link between the confinement geometry and the dispersion in the particularcase of periodic microchannels. For this, we calculate the effective diffusivity without dimensionality reductionassumption, instead of the standard Fick-Jacobs’ approach. A classification of the different dispersion regimesis then performed for any geometry for both continuous and discontinuous channels. In a second chapter, weextend this analysis to dispersion in periodic networks of short-range attractive spherical obstacles. The presenceof an attractive potential can surprisingly increase the dispersion. We quantify this effect in the dilute regimeand then show its optimization for several potentials as well as for diffusion mediated by the surface of thespheres. Later, we study the stochastic dynamics of Brownian particles in an optical trap in the presence ofa non-conservative force created by the radiation pressure of the laser. The perturbative expression of thestationary currents describing Brownian vortices is derived for the low pressures keeping the inertial term in theunderdamped Langevin equation. The expression of the power spectrum density is also calculated to observe thetrap anisotropies and the effects of the non-conservative force. Most of analytical expressions obtained duringthis thesis are asymptotically exact and verified by numerical analysis based on the integration of the Langevinequation or the resolution of partial differential equation.