Numerical ansatz for solving integro-differential equations with increasingly smooth memory kernels: spin-boson model and beyond
- Creators
- Zwolak, Michael
Abstract
We present an efficient and stable numerical ansatz for solving a class of integro-differential equations. We define the class as integro-differential equations with increasingly smooth memory kernels. The resulting algorithm reduces the computational cost from the usual T^2 to TC(T), where T is the total simulation time and C(T) is some function. For instance, C(T ) is equal to ln T for polynomially decaying memory kernels. Due to the common occurrence of increasingly smooth memory kernels in physical, chemical and biological systems, the algorithm can be applied in quite a wide variety of situations. We demonstrate the performance of the algorithm by examining two cases. Firstly, we compare the algorithm to a typical numerical procedure for a simple integro-differential equation. Secondly, we solve the non-interacting blip approximation equations for the spin-boson model in real time.
Additional Information
© 2008 IOP Publishing Ltd. Received 5 March 2007, in final form 11 December 2007. Published 20 November 2008. The author would like to thank G Vidal and G Refael for helpful discussions. This research was supported by the National Science Foundation through its Graduate Fellowship program and a Sigma Xi Grant-in-Aid of Research.Attached Files
Published - ZWOcsd08.pdf
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Additional details
- Eprint ID
- 13245
- Resolver ID
- CaltechAUTHORS:ZWOcsd08
- National Science Foundation
- Sigma Xi
- Created
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2009-02-05Created from EPrint's datestamp field
- Updated
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2022-07-12Created from EPrint's last_modified field