Some observations on high-dimensional partial differential equations with Barron data
December 02, 2020 Β· Declared Dead Β· π Mathematical and Scientific Machine Learning
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Authors
Weinan E, Stephan Wojtowytsch
arXiv ID
2012.01484
Category
math.AP
Cross-listed
cs.LG
Citations
23
Venue
Mathematical and Scientific Machine Learning
Last Checked
3 months ago
Abstract
We use explicit representation formulas to show that solutions to certain partial differential equations lie in Barron spaces or multilayer spaces if the PDE data lie in such function spaces. Consequently, these solutions can be represented efficiently using artificial neural networks, even in high dimension. Conversely, we present examples in which the solution fails to lie in the function space associated to a neural network under consideration.
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