Weather derivatives are financial tools used to manage the risks related to changes in the weather and are priced considering weather variables such as rainfall, temperature, humidity and wind as the underlying asset. Some recent researches suggest to model the amount of rainfall by considering the mean reverting processes. As an example, the Ornstein Uhlenbeck process was proposed by Allen [3] to model yearly rainfall and by Unami et al. [52] to model the irregularity of rainfall intensity as well as duration of dry spells. By using the Feynman-Kac theorem and the rainfall indexes we derive the partial differential equations (PDEs) that governs the price of an European option. We apply the Lie analysis theory to solve the PDEs, we provide the group classification and use it to find the invariant analytical solutions, particularly the ones compatible with the terminal conditions.

>Magister Scientiae - MSc / We present the Black-Scholes Merton partial differential equation (BSMPDE) and its analytical solution. We present the Black-Scholes option pricing model and list some limitations of this model. We also present a nonlinear model (the Frey-Patie model) that may improve on one of these limitations. We apply various numerical methods on the BSMPDE and run simulations to compare which method performs best in approximating the value of a European put option based on the maximum errors each method produces when we vary some parameters like the interest rate and the volatility. We re-apply the same finite difference methods on the nonlinear model. / 2025

Les travaux portent sur l'étude d'équations aux dérivées partielles à la charnière de la physique de la mécanique des milieux continus et de la géométrie différentielle, le point de départ étant le modèle d'électromagnétisme non-linéaire introduit par Max Born et Leopold Infeld en 1934 comme substitut aux traditionnelles équations linéaires de Maxwell. Ces équations sont remarquables par leurs liens avec la géométrie différentielle (surfaces extrémales dans l'espace de Minkowski) et ont connu un regain d'intérêt dans les années 90 en physique des hautes énergies (cordes et D-branes).Le travail se décompose en quatre chapitres.La théorie des systèmes paraboliques dégénérés d'EDP non-linéaires est fort peu développée, faute de pouvoir appliquer les principes de comparaison habituels (principe du maximum), malgré leur omniprésence dans de nombreuses applications (physique, mécanique, imagerie numérique, géométrie...). Dans le premier chapitre, on montre comment de tels systèmes peuvent être parfois dérivés, asymptotiquement, à partir de systèmes non-dissipatifs (typiquement des systèmes hyperboliques non-linéaires), par simple changement de variable en temps non-linéaire dégénéré à l'origine (où sont fixées les données initiales). L'avantage de ce point de vue est de pouvoir transférer certaines techniques hyperboliques vers les équations paraboliques, ce qui semble à première vue surprenant, puisque les équations paraboliques ont la réputation d'être plus facile à traiter (ce qui n'est pas vrai, en réalité, dans le cas de systèmes dégénérés). Le chapitre traite, comme prototype, du curve-shortening flow", qui est le plus simple des mouvements par courbure moyenne en co-dimension supérieure à un. Il est montré comment ce modèle peut être dérivé de la théorie des surfaces de dimension deux d'aire extrémale dans l'espace de Minkowski (correspondant aux cordes relativistes classiques) qui peut se ramener à un système hyperbolique. On obtient, presque automatiquement, l'équivalent parabolique des principes d'entropie relative et d'unicité fort-faible qu'il est, en fait, bien plus simple d'établir et de comprendre dans le cadre hyperbolique.Dans le second chapitre, la même méthode s'applique au système de Born-Infeld proprement dit, ce qui permet d'obtenir, à la limite, un modèle (non répertorié à notre connaissance) de Magnétohydrodynamique (MHD), où on retrouve à la fois une diffusivité non-linéaire dans l'équation d'induction magnétique et une loi de Darcy pour le champ de vitesse. Il est remarquable qu'un système d'apparence aussi lointaine des principes de base de la physique puisse être si directement déduit d'un modèle de physique aussi fondamental et géométrique que celui de Born-Infeld.Dans le troisième chapitre, un lien est établi entre des systèmes paraboliques et le concept de flot gradient de formes différentielles pour des métriques de transport. Dans le cas des formes volumes, ce concept a eu un succès extraordinaire dans le cadre de la théorie du transport optimal, en particulier après le travail fondateur de Felix Otto et de ses collaborateurs. Ce concept n'en est vraiment qu'à ses débuts: dans ce chapitre, on étudie une variante du «curve-shortening flow» étudié dans le premier chapitre, qui présente l'avantage d'être intégrable (en un certain sens) et de conduire à des résultats plus précis.Enfin, dans le quatrième chapitre, on retourne au domaine des EDP hyperboliques en considérant, dans le cas particulier des graphes, les surfaces extrémales de l'espace de Minkowski, de dimension et co-dimension quelconques. On parvient à montrer que les équations peuvent se reformuler sous forme d'un système élargi symétrique du premier ordre (ce qui assure automatiquement le caractère bien posé des équations) d'une structure remarquablement simple (très similaire à l'équation de Burgers) avec non linéarités quadratiques, dont le calcul n'a rien d'évident. / Our work concerns about the study of partial differential equations at the hinge of the continuum physics and differential geometry. The starting point is the model of non-linear electromagnetism introduced by Max Born and Leopold Infeld in 1934 as a substitute for the traditional linear Maxwell's equations. These equations are remarkable for their links with differential geometry (extremal surfaces in the Minkowski space) and have regained interest in the 90s in high-energy physics (strings and D-branches).The thesis is composed of four chapters.The theory of nonlinear degenerate parabolic systems of PDEs is not very developed because they can not apply the usual comparison principles (maximum principle), despite their omnipresence in many applications (physics, mechanics, digital imaging, geometry, etc.). In the first chapter, we show how such systems can sometimes be derived, asymptotically, from non-dissipative systems (typically non-linear hyperbolic systems), by simple non-linear change of the time variable degenerate at the origin (where the initial data are set). The advantage of this point of view is that it is possible to transfer some hyperbolic techniques to parabolic equations, which seems at first sight surprising, since parabolic equations have the reputation of being easier to treat (which is not true , in reality, in the case of degenerate systems). The chapter deals with the curve-shortening flow as a prototype, which is the simplest exemple of the mean curvature flows in co-dimension higher than 1. It is shown how this model can be derived from the two-dimensional extremal surface in the Minkowski space (corresponding to the classical relativistic strings), which can be reduced to a hyperbolic system. We obtain, almost automatically, the parabolic version of the relative entropy method and weak-strong uniqueness, which, in fact, is much simpler to establish and understand in the hyperbolic framework.In the second chapter, the same method applies to the Born-Infeld system itself, which makes it possible to obtain, in the limit, a model (not listed to our knowledge) of Magnetohydrodynamics (MHD) where we have non-linear diffusions in the magnetic induction equation and the Darcy's law for the velocity field. It is remarkable that a system of such distant appearance of the basic principles of physics can be so directly derived from a model of physics as fundamental and geometrical as that of Born-Infeld.In the third chapter, a link is established between the parabolic systems and the concept of gradient flow of differential forms with suitable transport metrics. In the case of volume forms, this concept has had an extraordinary success in the field of optimal transport theory, especially after the founding work of Felix Otto and his collaborators. This concept is really only on its beginnings: in this chapter, we study a variant of the curve-shortening flow studied in the first chapter, which has the advantage of being integrable (in a certain sense) and lead to more precise results.Finally, in the fourth chapter, we return to the domain of hyperbolic EDPs considering, in the particular case of graphs, the extremal surfaces of the Minkowski space of any dimension and co-dimension. We can show that the equations can be reformulated in the form of a symmetric first-order enlarged system (which automatically ensures the well-posedness of the equations) of a remarkably simple structure (very similar to the Burgers equation) with quadratic nonlinearities, whose calculation is not obvious.

京都大学 / 0048 / 新制・課程博士 / 博士(人間・環境学) / 甲第17837号 / 人博第658号 / 新制||人||158(附属図書館) / 25||人博||658(吉田南総合図書館) / 30652 / 京都大学大学院人間・環境学研究科共生人間学専攻 / (主査)教授 上木 直昌, 教授 森本 芳則, 教授 髙﨑 金久 / 学位規則第4条第1項該当 / Doctor of Human and Environmental Studies / Kyoto University / DFAM

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Elliptic obstacle problems are formulated to find either superharmonic solutions or minimal surfaces that lie on or over the obstacles, by incorporating inequality constraints. This dissertation investigates simple iterative algorithms based on the successive over-relaxation (SOR) method. It introduces subgrid methods to reduce accuracy deterioration occurring near the free boundary when the mesh grid does not match with the free boundary. For nonlinear obstacle problems, a method of gradient-weighting is introduced to solve the problem more conveniently and efficiently. The iterative algorithm is analyzed for convergence for both linear and nonlinear obstacle problems. Parabolic initial-boundary value problems with nonsmooth data show either rapid transitions or reduced smoothness in its solution. For those problems, specific numerical methods are required to avoid spurious oscillations as well as unrealistic smoothing of steep changes in the numerical solution. This dissertation investigates characteristics of the θ-method and introduces a variable-θ method as a synergistic combination of the Crank-Nicolson (CN) method and the implicit method. It suppresses spurious oscillations, by evolving the solution implicitly at points where the solution shows a certain portent of oscillations or reduced smoothness, and maintains as a similar accuracy as the CN method with smooth data. An effective strategy is suggested for the detection of points where the solution may introduce spurious oscillations (the wobble set); the resulting variable-θ method is analyzed for its accuracy and stability. After a theory of morphogenesis in chemical cells was introduced in 1950s, much attention had been devoted to the numerical solution of reaction-diffusion (RD) equations. This dissertation studies a nonoscillatory second-order time-stepping procedure for RD equations incorporating with variable-θ method, as a perturbation of the CN method. We also perform a sensitivity analysis for the numerical solution of RD systems to conclude that it is much more sensitive to the spatial mesh resolution than the temporal one. Moreover, to enhance the spatial approximation of RD equations, this dissertation investigates the averaging scheme, that is, an interpolation of the standard and skewed discrete Laplacian operator and introduce the simple optimizing strategy to minimize the leading truncation error of the scheme.

Nonlinear dispersive partial differential equations occur in a variety of areas within mathematical physics and engineering. We study several classes of such equations, including scalar complex partial differential equations, vector partial differential equations, and finally non-local integro-differential equations. For physically interesting families of these equations, we demonstrate the existence (and, when possible, stability) of specific solutions which are relevant for applications. While multiple application areas are considered, the primary application that runs through the work would be the nonlinear dynamics of vortex filaments under a variety of physical models. For instance, we are able to determine the structure and time evolution of several physical solutions, including the planar, helical, self-similar and soliton vortex filament solutions in a quantum fluid. Properties of such solutions are determined analytically and numerically through a variety of approaches. Starting with complex scalar equations (often useful for studying two-dimensional motion), we progress through more complicated models involving vector partial differential equations and non-local equations (which permit motion in three dimensions). In many of the examples considered, the qualitative analytical results are used to verify behaviors previously observed only numerically or experimentally.

Many problems in applied mathematics involve simulating the evolution of a system using differential equations with known initial conditions. But what if one records observations and seeks to determine the causal factors which produced them? This is known as an inverse problem. Some prominent inverse problems include data assimilation and parameter recovery, which use partial observations of a system of evolutionary, dissipative partial differential equations to estimate the state of the system and relevant physical parameters (respectively). Recently a set of procedures called nudging algorithms have shown promise in performing simultaneous data assimilation and parameter recovery for the Lorentz equations and the Kuramoto-Sivashinsky equation. This work applies these algorithms and extensions of them to the case of Rayleigh-B\'enard convection, one of the most ubiquitous and commonly-studied examples of turbulent flow. The performance of various parameter update formulas is analyzed through direct numerical simulation. Under appropriate conditions and given the correct parameter update formulas, convergence is also established, and in one case, an analytical proof is obtained.