Metrizable uniform spaces #

In this file we prove that a uniform space with countably generated uniformity filter is pseudometrizable: there exists a PseudoMetricSpace structure that generates the same uniformity. The proof follows [Sergey Melikhov, Metrizable uniform spaces][melikhov2011].

Main definitions #

PseudoMetricSpace.ofPreNNDist: given a function d : X → X → ℝ≥0 such that d x x = 0 and d x y = d y x for all x y : X, constructs the maximal pseudo metric space structure such that NNDist x y ≤ d x y for all x y : X.
UniformSpace.pseudoMetricSpace: given a uniform space X with countably generated 𝓤 X, constructs a PseudoMetricSpace X instance that is compatible with the uniform space structure.
UniformSpace.metricSpace: given a T₀ uniform space X with countably generated 𝓤 X, constructs a MetricSpace X instance that is compatible with the uniform space structure.

Main statements #

UniformSpace.metrizable_uniformity: if X is a uniform space with countably generated 𝓤 X, then there exists a PseudoMetricSpace structure that is compatible with this UniformSpace structure. Use UniformSpace.pseudoMetricSpace or UniformSpace.metricSpace instead.
UniformSpace.pseudoMetrizableSpace: a uniform space with countably generated 𝓤 X is pseudo metrizable.
UniformSpace.metrizableSpace: a T₀ uniform space with countably generated 𝓤 X is metrizable. This is not an instance to avoid loops.

Tags #

metrizable space, uniform space

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noncomputable def PseudoMetricSpace.ofPreNNDist {X : Type u_1} (d : X → X → NNReal) (dist_self : ∀ (x : X), d x x = 0) (dist_comm : ∀ (x y : X), d x y = d y x) :

PseudoMetricSpace X

The maximal pseudo metric space structure on X such that dist x y ≤ d x y for all x y, where d : X → X → ℝ≥0 is a function such that d x x = 0 and d x y = d y x for all x, y.

Equations

One or more equations did not get rendered due to their size.

Instances For

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theorem PseudoMetricSpace.dist_ofPreNNDist {X : Type u_1} (d : X → X → NNReal) (dist_self : ∀ (x : X), d x x = 0) (dist_comm : ∀ (x y : X), d x y = d y x) (x : X) (y : X) :

dist x y = ↑(⨅ (l : List X), List.sum (List.zipWith d (x :: l) (l ++ [y])))

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theorem PseudoMetricSpace.dist_ofPreNNDist_le {X : Type u_1} (d : X → X → NNReal) (dist_self : ∀ (x : X), d x x = 0) (dist_comm : ∀ (x y : X), d x y = d y x) (x : X) (y : X) :

dist x y ≤ ↑(d x y)

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theorem PseudoMetricSpace.le_two_mul_dist_ofPreNNDist {X : Type u_1} (d : X → X → NNReal) (dist_self : ∀ (x : X), d x x = 0) (dist_comm : ∀ (x y : X), d x y = d y x) (hd : ∀ (x₁ x₂ x₃ x₄ : X), d x₁ x₄ ≤ 2 * max (d x₁ x₂) (max (d x₂ x₃) (d x₃ x₄))) (x : X) (y : X) :

↑(d x y) ≤ 2 * dist x y

Consider a function d : X → X → ℝ≥0 such that d x x = 0 and d x y = d y x for all x, y. Let dist be the largest pseudometric distance such that dist x y ≤ d x y, see PseudoMetricSpace.ofPreNNDist. Suppose that d satisfies the following triangle-like inequality: d x₁ x₄ ≤ 2 * max (d x₁ x₂, d x₂ x₃, d x₃ x₄). Then d x y ≤ 2 * dist x y for all x, y.

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theorem UniformSpace.metrizable_uniformity (X : Type u_2) [UniformSpace X] [Filter.IsCountablyGenerated (uniformity X)] :

∃ (I : PseudoMetricSpace X), PseudoMetricSpace.toUniformSpace = inst✝¹

If X is a uniform space with countably generated uniformity filter, there exists a PseudoMetricSpace structure compatible with the UniformSpace structure. Use UniformSpace.pseudoMetricSpace or UniformSpace.metricSpace instead.

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