Applications of the Hausdorff distance in normed spaces #
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Riesz's lemma, stated for a normed space over a normed field: for any
closed proper subspace F
of E
, there is a nonzero x
such that ‖x - F‖
is at least r * ‖x‖
for any r < 1
. This is riesz_lemma
.
In a nontrivially normed field (with an element c
of norm > 1
) and any R > ‖c‖
, one can
guarantee ‖x‖ ≤ R
and ‖x - y‖ ≥ 1
for any y
in F
. This is riesz_lemma_of_norm_lt
.
A further lemma, metric.closed_ball_inf_dist_compl_subset_closure
, finds a closed ball within
the closure of a set s
of optimal distance from a point in x
to the frontier of s
.
Riesz's lemma, which usually states that it is possible to find a
vector with norm 1 whose distance to a closed proper subspace is
arbitrarily close to 1. The statement here is in terms of multiples of
norms, since in general the existence of an element of norm exactly 1
is not guaranteed. For a variant giving an element with norm in [1, R]
, see
riesz_lemma_of_norm_lt
.
A version of Riesz lemma: given a strict closed subspace F
, one may find an element of norm ≤ R
which is at distance at least 1
of every element of F
. Here, R
is any given constant
strictly larger than the norm of an element of norm > 1
. For a version without an R
, see
riesz_lemma
.
Since we are considering a general nontrivially normed field, there may be a gap in possible norms
(for instance no element of norm in (1,2)
). Hence, we can not allow R
arbitrarily close to 1
,
and require R > ‖c‖
for some c : 𝕜
with norm > 1
.