Operator norm on the space of continuous linear maps #
Define the operator (semi)-norm on the space of continuous (semi)linear maps between (semi)-normed spaces, and prove its basic properties. In particular, show that this space is itself a semi-normed space.
Since a lot of elementary properties don't require βxβ = 0 β x = 0
we start setting up the
theory for SeminormedAddCommGroup
. Later we will specialize to NormedAddCommGroup
in the
file NormedSpace.lean
.
Note that most of statements that apply to semilinear maps only hold when the ring homomorphism
is isometric, as expressed by the typeclass [RingHomIsometric Ο]
.
If βxβ = 0
and f
is continuous then βf xβ = 0
.
A continuous linear map between seminormed spaces is bounded when the field is nontrivially
normed. The continuity ensures boundedness on a ball of some radius Ξ΅
. The nontriviality of the
norm is then used to rescale any element into an element of norm in [Ξ΅/C, Ξ΅]
, whose image has a
controlled norm. The norm control for the original element follows by rescaling.
Given a unit-length element x
of a normed space E
over a field π
, the natural linear
isometry map from π
to E
by taking multiples of x
.
Equations
- LinearIsometry.toSpanSingleton π E hv = { toLinearMap := LinearMap.toSpanSingleton π E v, norm_map' := β― }
Instances For
The operator norm of a continuous linear map is the inf of all its bounds.
Instances For
Equations
- ContinuousLinearMap.hasOpNorm = { norm := ContinuousLinearMap.opNorm }
Alias of ContinuousLinearMap.isLeast_opNorm
.
If one controls the norm of every A x
, then one controls the norm of A
.
Alias of ContinuousLinearMap.opNorm_le_bound
.
If one controls the norm of every A x
, then one controls the norm of A
.
If one controls the norm of every A x
, βxβ β 0
, then one controls the norm of A
.
Alias of ContinuousLinearMap.opNorm_le_bound'
.
If one controls the norm of every A x
, βxβ β 0
, then one controls the norm of A
.
Alias of ContinuousLinearMap.opNorm_eq_of_bounds
.
Alias of ContinuousLinearMap.opNorm_neg
.
Alias of ContinuousLinearMap.opNorm_nonneg
.
The norm of the 0
operator is 0
.
Alias of ContinuousLinearMap.opNorm_zero
.
The norm of the 0
operator is 0
.
The norm of the identity is at most 1
. It is in fact 1
, except when the space is trivial
where it is 0
. It means that one can not do better than an inequality in general.
The fundamental property of the operator norm: βf xβ β€ βfβ * βxβ
.
Alias of ContinuousLinearMap.le_opNorm
.
The fundamental property of the operator norm: βf xβ β€ βfβ * βxβ
.
Alias of ContinuousLinearMap.dist_le_opNorm
.
Alias of ContinuousLinearMap.le_opNorm_of_le
.
Alias of ContinuousLinearMap.le_of_opNorm_le
.
Alias of ContinuousLinearMap.opNorm_le_iff
.
Alias of ContinuousLinearMap.ratio_le_opNorm
.
The image of the unit ball under a continuous linear map is bounded.
Alias of ContinuousLinearMap.unit_le_opNorm
.
The image of the unit ball under a continuous linear map is bounded.
Alias of ContinuousLinearMap.opNorm_le_of_shell
.
Alias of ContinuousLinearMap.opNorm_le_of_ball
.
Alias of ContinuousLinearMap.opNorm_le_of_shell'
.
For a continuous real linear map f
, if one controls the norm of every f x
, βxβ = 1
, then
one controls the norm of f
.
Alias of ContinuousLinearMap.opNorm_le_of_unit_norm
.
For a continuous real linear map f
, if one controls the norm of every f x
, βxβ = 1
, then
one controls the norm of f
.
The operator norm satisfies the triangle inequality.
Alias of ContinuousLinearMap.opNorm_add_le
.
The operator norm satisfies the triangle inequality.
If there is an element with norm different from 0
, then the norm of the identity equals 1
.
(Since we are working with seminorms supposing that the space is non-trivial is not enough.)
Alias of ContinuousLinearMap.opNorm_smul_le
.
Operator seminorm on the space of continuous (semi)linear maps, as Seminorm
.
We use this seminorm to define a SeminormedGroup
structure on E βSL[Ο] F
,
but we have to override the projection UniformSpace
so that it is definitionally equal to the one coming from the topologies on E
and F
.
Equations
- ContinuousLinearMap.seminorm = Seminorm.ofSMulLE norm β― β― β―
Instances For
Equations
- ContinuousLinearMap.toPseudoMetricSpace = SeminormedAddCommGroup.toPseudoMetricSpace.replaceUniformity β―
Continuous linear maps themselves form a seminormed space with respect to the operator norm.
Equations
- ContinuousLinearMap.toSeminormedAddCommGroup = SeminormedAddCommGroup.mk β―
Equations
- ContinuousLinearMap.toNormedSpace = NormedSpace.mk β―
The operator norm is submultiplicative.
Alias of ContinuousLinearMap.opNorm_comp_le
.
The operator norm is submultiplicative.
Continuous linear maps form a seminormed ring with respect to the operator norm.
Equations
- ContinuousLinearMap.toSemiNormedRing = SeminormedRing.mk β― β―
For a normed space E
, continuous linear endomorphisms form a normed algebra with
respect to the operator norm.
Equations
- ContinuousLinearMap.toNormedAlgebra = NormedAlgebra.mk β―
Alias of ContinuousLinearMap.opNorm_subsingleton
.
ContinuousLinearMap.restrictScalars
as a LinearIsometry
.
Equations
- ContinuousLinearMap.restrictScalarsIsometry π E Fβ π' π'' = { toLinearMap := ContinuousLinearMap.restrictScalarsβ π E Fβ π' π'', norm_map' := β― }
Instances For
If a continuous linear map is constructed from a linear map via the constructor mkContinuous
,
then its norm is bounded by the bound given to the constructor if it is nonnegative.
If a continuous linear map is constructed from a linear map via the constructor mkContinuous
,
then its norm is bounded by the bound or zero if bound is negative.