Communications in Mathematical Sciences
Volume 20 (2022)
Universal approximation of symmetric and anti-symmetric functions
Pages: 1397 – 1408
We consider universal approximations of symmetric and anti-symmetric functions, which are important for applications in quantum physics, as well as other scientific and engineering computations. We give constructive approximations with explicit bounds on the number of parameters with respect to the dimension and the target accuracy $\epsilon$. While the approximation still suffers from the curse of dimensionality, to the best of our knowledge, these are the first results in the literature with explicit error bounds for functions with symmetry or anti-symmetry constraints.
universal approximation, symmetric function, anti-symmetric function, neural network, Vandermonde determinant, quantum many-body problem
2010 Mathematics Subject Classification
41A25, 41A29, 41A63
The work of Lin Lin and Jiefu Zhang was supported in part by the Department of Energy under grants DE-SC0017867 and DE-AC02-05CH11231.
The work of Yingzhou Li and Jianfeng Lu was also supported in part by the National Science Foundation via grants DMS-1454939 and ACI-1450280.
Received 3 August 2021
Received revised 2 December 2021
Accepted 2 December 2021
Published 26 May 2022