A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates
We present a novel penalty approach for a class of quasi-variational inequalities (QVIs) involving monotone systems and interconnected obstacles. We show that for any given positive switching cost, the solutions of the penalized equations converge monotonically to those of the QVIs. We estimate the...
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| Format: | Journal article |
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Society for Industrial and Applied Mathematics
2019
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| _version_ | 1826275443658981376 |
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| author | Reisinger, C Zhang, Y |
| author_facet | Reisinger, C Zhang, Y |
| author_sort | Reisinger, C |
| collection | OXFORD |
| description | We present a novel penalty approach for a class of quasi-variational inequalities (QVIs) involving monotone systems and interconnected obstacles. We show that for any given positive switching cost, the solutions of the penalized equations converge monotonically to those of the QVIs. We estimate the penalization errors and are able to deduce that the optimal switching regions are constructed exactly. We further demonstrate that as the switching cost tends to zero, the QVI degenerates into an equation of HJB type, which is approximated by the penalized equation at the same order (up to a log factor) as that for positive switching cost. Numerical experiments on optimal switching problems are presented to illustrate the theoretical results and to demonstrate the effectiveness of the method. |
| first_indexed | 2024-03-06T22:58:47Z |
| format | Journal article |
| id | oxford-uuid:615a0049-e3bd-473b-bc7e-5b30b1134ed8 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T22:58:47Z |
| publishDate | 2019 |
| publisher | Society for Industrial and Applied Mathematics |
| record_format | dspace |
| spelling | oxford-uuid:615a0049-e3bd-473b-bc7e-5b30b1134ed82022-03-26T17:59:16ZA penalty scheme for monotone systems with interconnected obstacles: convergence and error estimatesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:615a0049-e3bd-473b-bc7e-5b30b1134ed8Symplectic Elements at OxfordSociety for Industrial and Applied Mathematics2019Reisinger, CZhang, YWe present a novel penalty approach for a class of quasi-variational inequalities (QVIs) involving monotone systems and interconnected obstacles. We show that for any given positive switching cost, the solutions of the penalized equations converge monotonically to those of the QVIs. We estimate the penalization errors and are able to deduce that the optimal switching regions are constructed exactly. We further demonstrate that as the switching cost tends to zero, the QVI degenerates into an equation of HJB type, which is approximated by the penalized equation at the same order (up to a log factor) as that for positive switching cost. Numerical experiments on optimal switching problems are presented to illustrate the theoretical results and to demonstrate the effectiveness of the method. |
| spellingShingle | Reisinger, C Zhang, Y A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates |
| title | A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates |
| title_full | A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates |
| title_fullStr | A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates |
| title_full_unstemmed | A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates |
| title_short | A penalty scheme for monotone systems with interconnected obstacles: convergence and error estimates |
| title_sort | penalty scheme for monotone systems with interconnected obstacles convergence and error estimates |
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