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Diametral ℓ1 Pressure

Updated 12 July 2026
  • Diametral ℓ1 Pressure is a quantitative invariant defined from the orbit hull of a minimal displacement point for fixed-point-free nonexpansive maps.
  • It is computed as the infimum over finite-level functionals that assess how well signed ℓ1-normalized combinations avoid collapse.
  • A positive pressure indicates robust ℓ1-type geometry that may force an isomorphic copy of ℓ1, thereby challenging the reflexivity of the ambient space.

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Diametral 1\ell_1 pressure is a quantitative invariant of an orbit hull associated with a fixed-point-free nonexpansive map on a Banach space. It is introduced to measure how far a weakly compact orbit hull is from “collapsing” under signed 1\ell_1-normalized combinations, and it is formulated relative to a minimal displacement point xx_\infty and the normalized geometry of the orbit hull C1C_1. In the framework proposed in "On the Fixed Point Property in Reflexive Banach Spaces" (Alpay et al., 16 Sep 2025), positivity of this invariant signals robust 1\ell_1-type geometry inside the orbit hull; if such positivity were available uniformly in the fixed-point-free setting, it would force an isomorphic copy of 1\ell_1 in the ambient space and thereby contradict reflexivity.

1. Definition and basic construction

The invariant is defined from the orbit hull of a minimal displacement point. For a nonexpansive map T:CCT:C\to C, the paper considers

C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),

with Δ>0\Delta>0 in the fixed-point-free case under discussion. The point xx_\infty is a minimal displacement point, and the diameter 1\ell_10 provides the normalization scale for all subsequent quantities (Alpay et al., 16 Sep 2025).

For each 1\ell_11, the finite-level functional is

1\ell_12

The diametral 1\ell_13-pressure is then

1\ell_14

This definition packages several operations into a single invariant. One first chooses 1\ell_15 points in the orbit hull, then examines all signed 1\ell_16-normalized linear combinations of the centered and diameter-normalized vectors, then takes the worst such combination, then optimizes over the 1\ell_17-tuple, and finally requires a uniform lower bound over all 1\ell_18. The resulting quantity is therefore explicitly anti-cancellation: 1\ell_19 means that arbitrarily large finite selections can be made so that every signed xx_\infty0-normalized combination remains uniformly away from xx_\infty1.

A separation-sensitive variant is also defined: xx_\infty2 and

xx_\infty3

This version forces the selected points to be well separated and is intended to suppress cancellations produced by repeated or nearly repeated points.

2. Geometric meaning in nonexpansive dynamics

The construction is tied to the geometry of nonexpansive orbits. The paper presents the orbit hull xx_\infty4 as the natural object once a nonexpansive map has no fixed point: xx_\infty5 minimizes xx_\infty6, the orbit xx_\infty7 is trapped in a weakly compact convex set, and xx_\infty8 records the spread of that orbit (Alpay et al., 16 Sep 2025).

The role of xx_\infty9 is normalization. Diametral C1C_10 pressure does not measure absolute size; it measures collapse relative to the size of the orbit hull. In this normalized form, the invariant distinguishes two geometric tendencies. If signed combinations can collapse toward C1C_11, then the pressure is small or vanishes. If such collapse is obstructed uniformly across all finite levels, then the orbit hull behaves like an C1C_12-sequence.

The sequence C1C_13 is nonincreasing, so

C1C_14

This monotonicity is structurally important. A positive value of C1C_15 for one particular C1C_16 gives only a finite-level certificate; it does not imply positive diametral C1C_17 pressure. Larger tuples may introduce new cancellation patterns, and the global invariant is sensitive precisely to this possibility. The paper therefore treats C1C_18 as a genuinely uniform invariant rather than a one-shot geometric statistic.

A plausible implication is that diametral C1C_19 pressure isolates a failure mode in earlier fixed-point arguments: finite geometric spreading of an orbit hull is insufficient unless it persists uniformly under arbitrarily large selections.

3. Main theorem and the connection to 1\ell_10 and the fixed point property

The central role of diametral 1\ell_11 pressure is conditional. The paper states that if 1\ell_12 is reflexive and for every fixed-point-free nonexpansive map 1\ell_13 one has

1\ell_14

for the orbit hull 1\ell_15 of a minimal displacement point 1\ell_16, then 1\ell_17 must have the fixed point property (FPP) (Alpay et al., 16 Sep 2025).

The mechanism proceeds through a lower 1\ell_18 estimate. The key lemma asserts that if a sequence 1\ell_19 satisfies

1\ell_10

then the map

1\ell_11

is an isomorphic embedding bounded below by 1\ell_12. Consequently, 1\ell_13 contains an isomorphic copy of 1\ell_14.

Since a reflexive Banach space cannot contain an isomorphic copy of 1\ell_15, positive pressure in every fixed-point-free configuration would contradict reflexivity. The argument may be summarized as

1\ell_16

The separated version is analogous: if 1\ell_17 uniformly for all fixed-point-free nonexpansive maps, then 1\ell_18 has the FPP.

The logical status of this result is explicit. Diametral 1\ell_19 pressure is not presented as an unconditional characterization of the FPP. Rather, it is the quantitative invariant that would supply the missing step in an attempted proof: positivity would convert orbit-hull geometry into an T:CCT:C\to C0 obstruction to reflexivity.

4. Finite-level certificates, examples, and vanishing phenomena

A major theme of the paper is that finite-level positivity and global positivity are sharply different notions. If T:CCT:C\to C1 is finite with T:CCT:C\to C2, then

T:CCT:C\to C3

because repeated points allow exact cancellation. Hence

T:CCT:C\to C4

This shows that every finite orbit hull has zero diametral T:CCT:C\to C5 pressure, regardless of any positive finite-level values that may appear for smaller T:CCT:C\to C6 (Alpay et al., 16 Sep 2025).

The same vanishing mechanism appears in elementary symmetric configurations. For

T:CCT:C\to C7

choosing coefficients T:CCT:C\to C8 makes the normalized signed sum equal to T:CCT:C\to C9, so C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),0. In an equilateral triangle in C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),1, the paper gives

C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),2

because the three vertices sum to zero under equal weights. These examples show that geometric spread alone does not prevent total signed cancellation.

By contrast, orthogonal configurations produce genuine finite-level lower bounds. For the orthonormal triple C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),3 in C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),4,

C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),5

For an orthonormal C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),6-tuple in a Hilbert space,

C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),7

These are finite-dimensional witnesses that nearly orthogonal families resist C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),8-collapse, but they remain finite-level statements.

The paper also gives a non-uniformly convex example in C1:=conv{Tnx:n0},Δ:=diam(C1),C_1 := \overline{\operatorname{conv}\{T^n x_\infty : n\ge 0\}}, \qquad \Delta := \operatorname{diam}(C_1),9: taking Δ>0\Delta>00 from the convex hull of the standard basis vectors leads to

Δ>0\Delta>01

because the Δ>0\Delta>02 mass can be spread among many coordinates so that the sup norm of the combination becomes arbitrarily small. This example clarifies that highly structured sets may still have zero pressure when the ambient norm permits substantial cancellation.

A recurring misconception addressed by these examples is that “well spread” finite geometry should force positive diametral pressure. The examples show that this is false: the infimum over all Δ>0\Delta>03 is the decisive feature.

5. Computational criteria and the weighted selection functional

The paper develops several finite-dimensional certification methods. For unit vectors Δ>0\Delta>04 in a Hilbert space, let

Δ>0\Delta>05

be the mutual coherence. If the Gram matrix Δ>0\Delta>06 has smallest eigenvalue Δ>0\Delta>07, then for Δ>0\Delta>08,

Δ>0\Delta>09

Using the coherence bound xx_\infty0 and

xx_\infty1

the paper obtains

xx_\infty2

Thus low mutual coherence yields a certified positive lower bound at finite level (Alpay et al., 16 Sep 2025).

A dual functional certificate is also given. If xx_\infty3 with xx_\infty4 satisfies

xx_\infty5

then

xx_\infty6

Hence xx_\infty7. In finite dimensions, the paper describes this as a convex optimization problem; in Euclidean or polyhedral settings, it can be checked numerically.

An unsigned companion invariant, the weighted selection functional, is defined by

xx_\infty8

and

xx_\infty9

Since nonnegative weights are more restrictive than arbitrary signed 1\ell_100-normalized coefficients,

1\ell_101

Positivity of 1\ell_102 is therefore a stronger certificate than positivity of diametral 1\ell_103 pressure. The distinction is conceptual as well as technical: 1\ell_104 measures resistance to collapse under convex combinations, whereas 1\ell_105 measures resistance under signed combinations.

6. Relation to classical geometry, algorithmic aspects, and open issues

The paper contrasts diametral 1\ell_106 pressure with normal structure, minimal displacement, and classical moduli of convexity and smoothness. Normal structure is a qualitative sufficient condition for fixed points via Kirk’s theorem; by contrast, 1\ell_107 is described as a quantitative anti-collapse condition on orbit hulls. The invariant is also orbit-specific rather than a global parameter of the norm. Minimal displacement identifies how far the map is from having a fixed point, while diametral 1\ell_108 pressure probes whether the associated orbit hull contains 1\ell_109-type geometry (Alpay et al., 16 Sep 2025).

The computational side is unusually concrete. The paper includes an x86-64 assembly routine named coherence_phi_lower that reads a matrix of vectors, computes their Euclidean norms, computes all pairwise inner products, evaluates the maximum normalized absolute inner product 1\ell_110, and returns both 1\ell_111 and the lower bound for 1\ell_112. The implemented estimate is

1\ell_113

This routine does not compute the full global invariant 1\ell_114; it computes a certified lower estimate of finite-level diametral pressure in the Hilbert-space setting.

Several limitations are emphasized. Positive 1\ell_115 at one level does not imply 1\ell_116. Uniform convexity may help control finite 1\ell_117, but it does not automatically force positive pressure for arbitrary orbit hulls. The paper therefore uses diametral 1\ell_118 pressure to explain why existing approaches fail: they detect partial geometric spreading but do not rule out cancellation at arbitrarily large finite scales.

Open problems remain central to the concept. The paper is framed around the open question of whether every reflexive Banach space has the fixed point property. Diametral 1\ell_119 pressure is proposed as a quantitative framework for that question, not as a completed resolution. This suggests that its lasting significance lies in converting a qualitative fixed-point problem into a family of orbit-hull anti-collapse estimates that can be studied analytically, geometrically, and computationally.

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