0000000000175309

AUTHOR

Torstein Nilssen

showing 11 related works from this author

Girsanov Theorem for Multifractional Brownian Processes

2017

In this article we will present a new perspective on the variable order fractional calculus, which allows for differentiation and integration to a variable order, i.e. one differentiates (or integrates) a function along the path of a regularity function. The concept of multifractional calculus has been a scarcely studied topic within the field of functional analysis in the last 20 years. We develop a multifractional derivative operator which acts as the inverse of the multifractional integral operator. This is done by solving the Abel integral equation generalized to a multifractional order. With this new multifractional derivative operator, we are able to analyze a variety of new problems,…

Statistics and ProbabilityMathematics - Functional AnalysisModeling and SimulationProbability (math.PR)FOS: MathematicsPhysics::Data Analysis; Statistics and ProbabilityVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Mathematics - ProbabilityFunctional Analysis (math.FA)
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On a rough perturbation of the Navier-Stokes system and its vorticity formulation

2019

We introduce a rough perturbation of the Navier-Stokes system and justify its physical relevance from balance of momentum and conservation of circulation in the inviscid limit. We present a framework for a well-posedness analysis of the system. In particular, we define an intrinsic notion of solution based on ideas from the rough path theory and study the system in an equivalent vorticity formulation. In two space dimensions, we prove that well-posedness and enstrophy balance holds. Moreover, we derive rough path continuity of the equation, which yields a Wong-Zakai result for Brownian driving paths, and show that for a large class of driving signals, the system generates a continuous rando…

Statistics and ProbabilityRough pathMathematical analysisProbability (math.PR)VorticityEnstrophyMomentumPhysics::Fluid DynamicsMathematics - Analysis of PDEsInviscid flowFOS: MathematicsLimit (mathematics)Statistics Probability and UncertaintyRandom dynamical systemBrownian motionMathematics - ProbabilityMathematicsAnalysis of PDEs (math.AP)
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Variational principles for fluid dynamics on rough paths

2022

In this paper, we introduce a new framework for parametrization schemes (PS) in GFD. Using the theory of controlled rough paths, we derive a class of rough geophysical fluid dynamics (RGFD) models as critical points of rough action functionals. These RGFD models characterize Lagrangian trajectories in fluid dynamics as geometric rough paths (GRP) on the manifold of diffeomorphic maps. Three constrained variational approaches are formulated for the derivation of these models. The first is the Clebsch formulation, in which the constraints are imposed as rough advection laws. The second is the Hamilton-Pontryagin formulation, in which the constraints are imposed as right-invariant rough vector…

Mathematics - Analysis of PDEsGeneral MathematicsProbability (math.PR)Fluid Dynamics (physics.flu-dyn)FOS: MathematicsFOS: Physical sciencesVDP::Matematikk og Naturvitenskap: 400Dynamical Systems (math.DS)Physics - Fluid DynamicsMathematics - Dynamical SystemsMathematics - ProbabilityAnalysis of PDEs (math.AP)
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Non-autonomous rough semilinear PDEs and the multiplicative Sewing Lemma

2021

We investigate existence, uniqueness and regularity for local solutions of rough parabolic equations with subcritical noise of the form $du_t- L_tu_tdt= N(u_t)dt + \sum_{i = 1}^dF_i(u_t)d\mathbf X^i_t$ where $(L_t)_{t\in[0,T]}$ is a time-dependent family of unbounded operators acting on some scale of Banach spaces, while $\mathbf X\equiv(X,\mathbb X)$ is a two-step (non-necessarily geometric) rough path of H\"older regularity $\gamma >1/3.$ Besides dealing with non-autonomous evolution equations, our results also allow for unbounded operations in the noise term (up to some critical loss of regularity depending on that of the rough path $\mathbf X$). As a technical tool, we introduce a versi…

60H15 60H05 35K58 32A70Pure mathematicsLemma (mathematics)Rough pathSemigroupMultiplicative functionProbability (math.PR)Banach spacePropagatorParabolic partial differential equationFunctional Analysis (math.FA)Mathematics - Functional AnalysisMathematics - Analysis of PDEsRough partial differential equationsProduct (mathematics)Multiplicative Sewing lemmaFOS: Mathematics/dk/atira/pure/subjectarea/asjc/2600/2603UniquenessRough pathMathematics - ProbabilityAnalysisMathematicsAnalysis of PDEs (math.AP)
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Rough nonlocal diffusions

2019

We consider a nonlinear Fokker-Planck equation driven by a deterministic rough path which describes the conditional probability of a McKean-Vlasov diffusion with "common" noise. To study the equation we build a self-contained framework of non-linear rough integration theory which we use to study McKean-Vlasov equations perturbed by rough paths. We construct an appropriate notion of solution of the corresponding Fokker-Planck equation and prove well-posedness.

Statistics and ProbabilityRough pathApplied Mathematics60H05 60H15 60J60 35K55Probability (math.PR)Conditional probabilityMcKean-VlasovNoise (electronics)510Nonlinear systemMathematics - Analysis of PDEsRough paths60H05Modeling and Simulation35K5560H15FOS: MathematicsApplied mathematicsnon-local equationsDiffusion (business)stochastic PDEsMathematics - ProbabilityAnalysis of PDEs (math.AP)Mathematics
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Geometric rough paths on infinite dimensional spaces

2022

Similar to ordinary differential equations, rough paths and rough differential equations can be formulated in a Banach space setting. For $\alpha\in (1/3,1/2)$, we give criteria for when we can approximate Banach space-valued weakly geometric $\alpha$-rough paths by signatures of curves of bounded variation, given some tuning of the H\"older parameter. We show that these criteria are satisfied for weakly geometric rough paths on Hilbert spaces. As an application, we obtain Wong-Zakai type result for function space valued martingales using the notion of (unbounded) rough drivers.

22E65 53C17 60H10 60L20 60L50Applied MathematicsProbability (math.PR)Metric Geometry (math.MG)VDP::Mathematics: 410:Matematikk og Naturvitenskap: 400::Matematikk: 410::Topologi/geometri: 415 [VDP]:Matematikk: 410 [VDP]:Mathematics: 410 [VDP]Mathematics - Metric GeometryFOS: MathematicsVDP::Matematikk: 410MatematikkAnalysisMathematics - ProbabilityMathematics
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Rough linear PDE's with discontinuous coefficients - existence of solutions via regularization by fractional Brownian motion

2020

We consider two related linear PDE's perturbed by a fractional Brownian motion. We allow the drift to be discontinuous, in which case the corresponding deterministic equation is ill-posed. However, the noise will be shown to have a regularizing effect on the equations in the sense that we can prove existence of solutions for almost all paths of the fractional Brownian motion.

Statistics and ProbabilityFractional Brownian motion010102 general mathematicsMathematical analysisProbability (math.PR)fractional Brownian motionlocal times01 natural sciencesRegularization (mathematics)VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410010104 statistics & probabilityDeterministic equation60H05FOS: Mathematics60H1560J5560H1060G220101 mathematicsStatistics Probability and Uncertaintystochastic PDEsrough pathsregularization by noiseMathematics - ProbabilityMathematics
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An Itô Formula for rough partial differential equations and some applications

2020

AbstractWe investigate existence, uniqueness and regularity for solutions of rough parabolic equations of the form $\partial _{t}u-A_{t}u-f=(\dot X_{t}(x) \cdot \nabla + \dot Y_{t}(x))u$ ∂ t u − A t u − f = ( X ̇ t ( x ) ⋅ ∇ + Y ̇ t ( x ) ) u on $[0,T]\times \mathbb {R}^{d}.$ [ 0 , T ] × ℝ d . To do so, we introduce a concept of “differential rough driver”, which comes with a counterpart of the usual controlled paths spaces in rough paths theory, built on the Sobolev spaces Wk,p. We also define a natural notion of geometricity in this context, and show how it relates to a product formula for controlled paths. In the case of transport noise (i.e. when Y = 0), we use this framework to prove a…

Sobolev spacePure mathematicsPartial differential equationMaximum principleProduct (mathematics)UniquenessChain ruleddc:510Parabolic partial differential equationVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410AnalysisDomain (mathematical analysis)Mathematics
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Solution properties of the incompressible Euler system with rough path advection

2021

The present paper aims to establish the local well-posedness of Euler's fluid equations on geometric rough paths. In particular, we consider the Euler equations for the incompressible flow of an ideal fluid whose Lagrangian transport velocity possesses an additional rough-in-time, divergence-free vector field. In recent work, we have demonstrated that this system can be derived from Clebsch and Hamilton-Pontryagin variational principles that possess a perturbative geometric rough path Lie-advection constraint. In this paper, we prove the local well-posedness of the system in $L^2$-Sobolev spaces $H^m$ with integer regularity $m\ge \lfloor d/2\rfloor+2$ and establish a Beale-Kato-Majda (BKM)…

Physics::Fluid DynamicsMathematics - Analysis of PDEsProbability (math.PR)FOS: MathematicsMathematics::Analysis of PDEs60L20 60L50 60H15 76B03 35Q31VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410AnalysisMathematics - ProbabilityAnalysis of PDEs (math.AP)
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Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering

2021

Motivated by the challenge of incorporating data into misspecified and multiscale dynamical models, we study a McKean-Vlasov equation that contains the data stream as a common driving rough path. This setting allows us to prove well-posedness as well as continuity with respect to the driver in an appropriate rough-path topology. The latter property is key in our subsequent development of a robust data assimilation methodology: We establish propagation of chaos for the associated interacting particle system, which in turn is suggestive of a numerical scheme that can be viewed as an extension of the ensemble Kalman filter to a rough-path framework. Finally, we discuss a data-driven method bas…

60L20 60L90 60H10 60F99 65C35 62M05Probability (math.PR)FOS: MathematicsMathematics - Statistics TheoryMathematics - Numerical AnalysisNumerical Analysis (math.NA)Statistics Theory (math.ST)Mathematics - Probability
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Random dynamical system generated by the 3D Navier-Stokes equation with rough transport noise

2022

We consider the Navier-Stokes system in three dimensions perturbed by a transport noise which is sufficiently smooth in space and rough in time. The existence of a weak solution was proved recently, however, as in the deterministic setting the question of uniqueness remains a major open problem. An important feature of systems with uniqueness is the semigroup property satisfied by their solutions. Without uniqueness, this property cannot hold generally. We select a system of solutions satisfying the semigroup property with appropriately shifted rough path. In addition, the selected solutions respect the well accepted admissibility criterium for physical solutions, namely, maximization of th…

Statistics and ProbabilityMathematics - Analysis of PDEsProbability (math.PR)FOS: MathematicsStatistics Probability and UncertaintyVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Mathematics - ProbabilityAnalysis of PDEs (math.AP)
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