Weak Lᵖ norms of finite families #
For a finite family x : ι → E over real or complex scalars, its weak Lᵖ norm is
the supremum of the Lᵖ norms of (f (x i))ᵢ over the closed unit ball of the continuous dual.
It is the operator norm of the dual-evaluation map into PiLp, so it is
finite without completeness or finite dimensionality assumptions on E.
weakLpNorm is bundled as a Seminorm, providing homogeneity and the triangle
inequality through the existing seminorm API. Over real or complex scalars it
dominates each coordinate norm, and is therefore a norm on finite families in a
normed space. We prove the bound on sums of p-th powers of scalar evaluations, the strong Lᵖ
bound, invariance under reindexing, the
bounded-operator estimate, the exact value on scalar multiples of one vector, its agreement
with the strong norm at exponent ∞, and Hölder's inequality for scalar weights:
the weak p-norm of (cᵢ xᵢ)ᵢ is at most ‖c‖ₛ times the weak q-norm of x when
1 / p = 1 / s + 1 / q.
These are the finite-family estimates used for absolutely summing operators.
The weak norm is continuous, being dominated by the strong norm. At exponent 1 it is the least
upper bound for the norms ‖∑ i, c i • x i‖ over scalar coefficients of norm at most one, and it
controls unconditional summability. The finite subfamilies of an
unconditionally summable family have uniformly bounded weak L¹ norms, by the uniform boundedness
principle on the complete dual. Conversely, in a complete space, finite blocks whose weak L¹
norms are summable assemble into an unconditionally summable family; in any space, these blocks,
each followed by its negative, form a family summing to zero.
References #
- F. Albiac and N. J. Kalton, Topics in Banach Space Theory, Chapter 8.
The construction uses Mathlib's inclusionInDoubleDual and PiLp; the supremum
formula uses ContinuousLinearMap.sSup_unitClosedBall_eq_norm, and the uniform bound for
summable families uses banach_steinhaus.
Send a finite vector family to its dual-evaluation operator with Lᵖ target norm.
Instances For
Dual evaluation is the family of scalar evaluations, viewed in PiLp.
The weak Lᵖ seminorm of a finite family is the norm of its dual-evaluation operator.
Instances For
The operator-norm characterization of the weak Lᵖ seminorm.
Scalar evaluations are bounded by the weak Lᵖ norm times the functional norm.
For finite p, the p-th powers of scalar evaluations sum to at most the p-th power of
the weak Lᵖ norm times the functional norm.
An upper bound on the weak norm is equivalent to the homogeneous evaluation bound.
The weak Lᵖ norm is at most the strong Lᵖ norm of the vector family.
Applying a bounded operator to a family multiplies its weak norm by at most the operator norm.
Reindexing a finite family by an equivalence preserves its weak Lᵖ norm.
The weak Lᵖ norm is continuous, being dominated by the strong Lᵖ norm.
Hölder's inequality for weak norms. Multiplying a finite family by scalar weights c
multiplies its weak norm by at most the ℓˢ norm of the weights, when 1 / p = 1 / s + 1 / q
with finite p and q.
The weak Lᵖ norm is the supremum of scalar Lᵖ evaluations over the dual unit ball.
Bounding the weak norm is equivalent to bounding evaluations on the dual unit ball.
Each coordinate norm is at most the weak norm of the whole family.
A family of multiples of one vector has weak norm equal to its scalar Lᵖ norm
times the vector norm. This includes the one-coordinate normalization.
A family supported at a single coordinate has weak norm equal to that vector's norm.
At exponent ∞ the weak norm of a finite family is its strong norm, the largest norm of
its members.
A combination of a finite family with scalar coefficients of norm at most one has norm at
most the weak L¹ norm of the family.
The weak L¹ norm by bounded coefficients. The weak L¹ norm of a finite family is the
least upper bound for the norms of its combinations with scalar coefficients of norm at most one.
The finite subfamilies of an unconditionally summable family have uniformly bounded weak L¹
norms.
In a complete space, finite blocks whose weak L¹ norms are summable assemble into an
unconditionally summable family.
Finite blocks whose weak L¹ norms are summable, each followed by its negative, form a family
summing to zero, even when E is not complete.
The weak Lᵖ seminorm separates finite families over real or complex scalars.