170 research outputs found
Learning and Testing Variable Partitions
Let be a multivariate function from a product set to an
Abelian group . A -partition of with cost is a partition of
the set of variables into non-empty subsets such that is -close to
for some with
respect to a given error metric. We study algorithms for agnostically learning
partitions and testing -partitionability over various groups and error
metrics given query access to . In particular we show that
Given a function that has a -partition of cost , a partition
of cost can be learned in time
for any .
In contrast, for and learning a partition of cost is NP-hard.
When is real-valued and the error metric is the 2-norm, a
2-partition of cost can be learned in time
.
When is -valued and the error metric is Hamming
weight, -partitionability is testable with one-sided error and
non-adaptive queries. We also show that even
two-sided testers require queries when .
This work was motivated by reinforcement learning control tasks in which the
set of control variables can be partitioned. The partitioning reduces the task
into multiple lower-dimensional ones that are relatively easier to learn. Our
second algorithm empirically increases the scores attained over previous
heuristic partitioning methods applied in this context.Comment: Innovations in Theoretical Computer Science (ITCS) 202
Analyticity for the (generalized) Navier-Stokes equations with rough initial data
We study the Cauchy problem for the (generalized) incompressible
Navier-Stokes equations \begin{align} u_t+(-\Delta)^{\alpha}u+u\cdot \nabla u
+\nabla p=0, \ \ {\rm div} u=0, \ \ u(0,x)= u_0. \nonumber \end{align} We show
the analyticity of the local solutions of the Navier-Stokes equation
() with any initial data in critical Besov spaces
with
and the solution is global if is sufficiently small in
. In the case , the analyticity
for the local solutions of the Navier-Stokes equation () with any
initial data in modulation space is obtained.
We prove the global well-posedness for a fractional Navier-stokes equation
() with small data in critical Besov spaces
and show the
analyticity of solutions with small initial data either in
or in
.
Similar results also hold for all .Comment: 31 page
Wellposedness of Cauchy problem for the Fourth Order Nonlinear Schr\"odinger Equations in Multi-dimensional Spaces
We study the wellposedness of Cauchy problem for the fourth order nonlinear
Schr\"odinger equations i\partial_t u=-\eps\Delta u+\Delta^2
u+P((\partial_x^\alpha u)_{\abs{\alpha}\ls 2}, (\partial_x^\alpha
\bar{u})_{\abs{\alpha}\ls 2}),\quad t\in \Real, x\in\Real^n, where
\eps\in\{-1,0,1\}, n\gs 2 denotes the spatial dimension and is a
polynomial excluding constant and linear terms.Comment: 28 page
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