Finite dimensional normed spaces over complete fields #
Over a complete nontrivially normed field, in finite dimension, all norms are equivalent and all linear maps are continuous. Moreover, a finite-dimensional subspace is always complete and closed.
Main results: #
FiniteDimensional.complete
: a finite-dimensional space over a complete field is complete. This is not registered as an instance, as the field would be an unknown metavariable in typeclass resolution.Submodule.closed_of_finiteDimensional
: a finite-dimensional subspace over a complete field is closedFiniteDimensional.proper
: a finite-dimensional space over a proper field is proper. This is not registered as an instance, as the field would be an unknown metavariable in typeclass resolution. It is however registered as an instance forπ = β
andπ = β
. As properness implies completeness, there is no need to also registerFiniteDimensional.complete
onβ
orβ
.FiniteDimensional.of_isCompact_closedBall
: Riesz' theorem: if the closed unit ball is compact, then the space is finite-dimensional.
Implementation notes #
The fact that all norms are equivalent is not written explicitly, as it would mean having two norms
on a single space, which is not the way type classes work. However, if one has a
finite-dimensional vector space E
with a norm, and a copy E'
of this type with another norm,
then the identities from E
to E'
and from E'
to E
are continuous thanks to
LinearMap.continuous_of_finiteDimensional
. This gives the desired norm equivalence.
A linear isometry between finite dimensional spaces of equal dimension can be upgraded to a linear isometry equivalence.
Equations
- LinearIsometry.toLinearIsometryEquiv li h = { toLinearEquiv := LinearMap.linearEquivOfInjective li.toLinearMap β― h, norm_map' := β― }
Instances For
An affine isometry between finite dimensional spaces of equal dimension can be upgraded to an affine isometry equivalence.
Equations
- AffineIsometry.toAffineIsometryEquiv li h = AffineIsometryEquiv.mk' (βli) (LinearIsometry.toLinearIsometryEquiv (AffineIsometry.linearIsometry li) h) default β―
Instances For
Reinterpret an affine equivalence as a homeomorphism.
Equations
- AffineEquiv.toHomeomorphOfFiniteDimensional f = { toEquiv := f.toEquiv, continuous_toFun := β―, continuous_invFun := β― }
Instances For
Any K
-Lipschitz map from a subset s
of a metric space Ξ±
to a finite-dimensional real
vector space E'
can be extended to a Lipschitz map on the whole space Ξ±
, with a slightly worse
constant C * K
where C
only depends on E'
. We record a working value for this constant C
as lipschitzExtensionConstant E'
.
Equations
Instances For
Any K
-Lipschitz map from a subset s
of a metric space Ξ±
to a finite-dimensional real
vector space E'
can be extended to a Lipschitz map on the whole space Ξ±
, with a slightly worse
constant lipschitzExtensionConstant E' * K
.
A LinearMap
on a finite-dimensional space over a complete field
is injective iff it is anti-Lipschitz.
The set of injective continuous linear maps E β F
is open,
if E
is finite-dimensional over a complete field.
Alias of Basis.opNNNorm_le
.
Alias of Basis.opNorm_le
.
A weaker version of Basis.opNNNorm_le
that abstracts away the value of C
.
Alias of Basis.exists_opNNNorm_le
.
A weaker version of Basis.opNNNorm_le
that abstracts away the value of C
.
A weaker version of Basis.opNorm_le
that abstracts away the value of C
.
Alias of Basis.exists_opNorm_le
.
A weaker version of Basis.opNorm_le
that abstracts away the value of C
.
Equations
- β― = β―
In an infinite dimensional space, given a finite number of points, one may find a point
with norm at most R
which is at distance at least 1
of all these points.
In an infinite-dimensional normed space, there exists a sequence of points which are all
bounded by R
and at distance at least 1
. For a version not assuming c
and R
, see
exists_seq_norm_le_one_le_norm_sub
.
Riesz's theorem: if a closed ball with center zero of positive radius is compact in a vector space, then the space is finite-dimensional.
Alias of FiniteDimensional.of_isCompact_closedBallβ
.
Riesz's theorem: if a closed ball with center zero of positive radius is compact in a vector space, then the space is finite-dimensional.
Riesz's theorem: if a closed ball of positive radius is compact in a vector space, then the space is finite-dimensional.
Alias of FiniteDimensional.of_isCompact_closedBall
.
Riesz's theorem: if a closed ball of positive radius is compact in a vector space, then the space is finite-dimensional.
Riesz's theorem: a locally compact normed vector space is finite-dimensional.
Alias of FiniteDimensional.of_locallyCompactSpace
.
Riesz's theorem: a locally compact normed vector space is finite-dimensional.
If a function has compact support, then either the function is trivial or the space is finite-dimensional.
If a function has compact multiplicative support, then either the function is trivial or the space is finite-dimensional.
A locally compact normed vector space is proper.
Alias of ProperSpace.of_locallyCompactSpace
.
A locally compact normed vector space is proper.
Alias of ProperSpace.of_locallyCompact_module
.
Continuous linear equivalence between continuous linear functions πβΏ β E
and EβΏ
.
The spaces πβΏ
and EβΏ
are represented as ΞΉ β π
and ΞΉ β E
, respectively,
where ΞΉ
is a finite type.
Equations
- One or more equations did not get rendered due to their size.
Instances For
A family of continuous linear maps is continuous on s
if all its applications are.
Any finite-dimensional vector space over a locally compact field is proper.
We do not register this as an instance to avoid an instance loop when trying to prove the
properness of π
, and the search for π
as an unknown metavariable. Declare the instance
explicitly when needed.
Equations
- β― = β―
A submodule of a locally compact space over a complete field is also locally compact (and even proper).
Equations
- β― = β―
If E
is a finite dimensional normed real vector space, x : E
, and s
is a neighborhood of
x
that is not equal to the whole space, then there exists a point y β frontier s
at distance
Metric.infDist x sαΆ
from x
. See also
IsCompact.exists_mem_frontier_infDist_compl_eq_dist
.
If K
is a compact set in a nontrivial real normed space and x β K
, then there exists a point
y
of the boundary of K
at distance Metric.infDist x KαΆ
from x
. See also
exists_mem_frontier_infDist_compl_eq_dist
.
In a finite dimensional vector space over β
, the series β x, βf xβ
is unconditionally
summable if and only if the series β x, f x
is unconditionally summable. One implication holds in
any complete normed space, while the other holds only in finite dimensional spaces.
Alias of the reverse direction of summable_norm_iff
.
In a finite dimensional vector space over β
, the series β x, βf xβ
is unconditionally
summable if and only if the series β x, f x
is unconditionally summable. One implication holds in
any complete normed space, while the other holds only in finite dimensional spaces.