Smoothing properties in multistep backward difference method and time derivative approximation for linear parabolic equations (Q2570960)

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Smoothing properties in multistep backward difference method and time derivative approximation for linear parabolic equations
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    Smoothing properties in multistep backward difference method and time derivative approximation for linear parabolic equations (English)
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    31 October 2005
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    A nonhomogeneous linear parabolic equation of the type \[ u_t+Au =f, \quad \text{for } t>0, u(0)=\nu \] in a Hilbert space \(H\) with norm \(\| .\| \) is investigated from a numerically point of view. Here the operator \(A\) is a linear, selfadjoint, positive definite, not necessary bounded operator with compact inverse, \(\nu \in H\), \(f\) is a function of \(t\) with values in \(H\). A multistep backward difference method is used to obtain a numerical solution \(U^n\) which is the approximate solution of \(u(t_n)\) for \(t_n= n\cdot k \), where \(k\) is the time step: \[ \overline \partial_p U^n+AU^n =f^n, \text{ for } n\geq p, \text{ and } f^n=f(t_n), \] where \[ \overline \partial_p U^n = k^{-1} \sum _{\nu =0}^p c_\nu U^{n-\nu}, \] where the coefficients \(c_\nu\) are independent of \(k\). The theory of stability and error estimates for the approximation of the solution by a multistep method for constant as well as variable time steps are well known. The aim of this paper is to consider the smoothing property in the multistep backward difference method and time derivative approximation of this equation. First the smoothing property of the type \[ \| \overline \partial_p U^n\| \leq C t_n^{-1} \sum _{j=0}^{p-1} \| U^j\| , \] for \(p\leq 6\) and \( n\geq 2p\) is proved. Then the error estimates for the approximation \(\overline \partial_p U^n\) of the time derivative \(u_t(t_n)\) for nonsmooth data is derived.
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    nonsmooth data
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