The shattering dimension of sets of linear functionals
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Schechtman, Gideon
Mendelson, Shahar
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Institute of Mathematical Statistics
Abstract
We evaluate the shattering dimension of various classes of linear
functionals on various symmetric convex sets. The proofs here relay mostly
on methods from the local theory of normed spaces and include volume
estimates, factorization techniques and tail estimates of norms, viewed
as random variables on Euclidean spheres. The estimates of shattering
dimensions can be applied to obtain error bounds for certain classes of
functions, a fact which was the original motivation of this study. Although this
can probably be done in a more traditional manner, we also use the approach
presented here to determine whether several classes of linear functionals
satisfy the uniform law of large numbers and the uniform central limit
theorem.
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The Annals of Probability
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Open Access
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