| Home > Publications database > Regularization for time-dependent inverse problems: geometry of Lebesgue–Bochner spaces and algorithms |
| Journal Article | PUBDB-2026-01186 |
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2026
Inst.
Bristol [u.a.]
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Please use a persistent id in citations: doi:10.1088/1361-6420/ae30f9 doi:10.3204/PUBDB-2026-01186
Abstract: We consider time-dependent inverse problems in a mathematical setting using Lebesgue–Bochner spaces. Such problems arise when one aims to recover a function from given observations where the function or the data depend on time. Lebesgue–Bochner spaces allow to easily incorporate the different nature of time and space.In this manuscript, we present two different regularization methods in Lebesgue–Bochner spaces:a. classical Tikhonov regularization in Banach spaces,b. temporal variational regularization by penalizing the time-derivative.In the first case, we additionally investigate geometrical properties of Lebesgue–Bochner spaces. This particularly includes the calculation of the duality mapping and it is shown that these spaces are smooth of power type. The resulting Tikhononv regularization in Lebesgue–Bochner spaces is implemented using different regularities for time and space. Both methods are tested and evaluated for dynamic computerized tomography.
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