57 research outputs found

    Semi-Lagrangian schemes for linear and fully non-linear Hamilton-Jacobi-Bellman equations

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    We consider the numerical solution of Hamilton-Jacobi-Bellman equations arising in stochastic control theory. We introduce a class of monotone approximation schemes relying on monotone interpolation. These schemes converge under very weak assumptions, including the case of arbitrary degenerate diffusions. Besides providing a unifying framework that includes several known first order accurate schemes, stability and convergence results are given, along with two different robust error estimates. Finally, the method is applied to a super-replication problem from finance.Comment: to appear in the proceedings of HYP201

    Error bounds for monotone approximation schemes for parabolic Hamilton-Jacobi-Bellman equations

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    We obtain non-symmetric upper and lower bounds on the rate of convergence of general monotone approximation/numerical schemes for parabolic Hamilton Jacobi Bellman Equations by introducing a new notion of consistency. We apply our general results to various schemes including finite difference schemes, splitting methods and the classical approximation by piecewise constant controls

    Uniqueness and properties of distributional solutions of nonlocal equations of porous medium type

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    We study the uniqueness, existence, and properties of bounded distributional solutions of the initial value problem problem for the anomalous diffusion equation ∂tu−Lμ[φ(u)]=0\partial_tu-\mathcal{L}^\mu [\varphi (u)]=0. Here Lμ\mathcal{L}^\mu can be any nonlocal symmetric degenerate elliptic operator including the fractional Laplacian and numerical discretizations of this operator. The function φ:R→R\varphi:\mathbb{R} \to \mathbb{R} is only assumed to be continuous and nondecreasing. The class of equations include nonlocal (generalized) porous medium equations, fast diffusion equations, and Stefan problems. In addition to very general uniqueness and existence results, we obtain L1L^1-contraction and a priori estimates. We also study local limits, continuous dependence, and properties and convergence of a numerical approximation of our equations.Comment: To appear in "Advances in Mathematics

    On distributional solutions of local and nonlocal problems of porous medium type

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    We present a theory of well-posedness and a priori estimates for bounded distributional (or very weak) solutions of ∂tu−Lσ,μ[φ(u)]=g(x,t)inRN×(0,T),\partial_tu-\mathfrak{L}^{\sigma,\mu}[\varphi(u)]=g(x,t)\quad\quad\text{in}\quad\quad \mathbb{R}^N\times(0,T), where φ\varphi is merely continuous and nondecreasing and Lσ,μ\mathfrak{L}^{\sigma,\mu} is the generator of a general symmetric L\'evy process. This means that Lσ,μ\mathfrak{L}^{\sigma,\mu} can have both local and nonlocal parts like e.g. Lσ,μ=Δ−(−Δ)12\mathfrak{L}^{\sigma,\mu}=\Delta-(-\Delta)^{\frac12}. New uniqueness results for bounded distributional solutions of this problem and the corresponding elliptic equation are presented and proven. A key role is played by a new Liouville type result for Lσ,μ\mathfrak{L}^{\sigma,\mu}. Existence and a priori estimates are deduced from a numerical approximation, and energy type estimates are also obtained.Comment: 6 pages. Minor revision. Added details to Step 2 of the proof of Theorem 3.

    Precise Error Bounds for Numerical Approximations of Fractional HJB Equations

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    We prove precise rates of convergence for monotone approximation schemes of fractional and nonlocal Hamilton-Jacobi-Bellman (HJB) equations. We consider diffusion corrected difference-quadrature schemes from the literature and new approximations based on powers of discrete Laplacians, approximations which are (formally) fractional order and 2nd order methods. It is well-known in numerical analysis that convergence rates depend on the regularity of solutions, and here we consider cases with varying solution regularity: (i) Strongly degenerate problems with Lipschitz solutions, and (ii) weakly non-degenerate problems where we show that solutions have bounded fractional derivatives of order between 1 and 2. Our main results are optimal error estimates with convergence rates that capture precisely both the fractional order of the schemes and the fractional regularity of the solutions. For strongly degenerate equations, these rates improve earlier results. For weakly non-degenerate problems of order greater than one, the results are new. Here we show improved rates compared to the strongly degenerate case, rates that are always better than 1/2
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