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Books.Analysis2_Tao_2022.Chapters.Chap01.section01_part2

noncomputable def oneOverNatSeqInUnitInterval :
{ x : // x Set.Icc 0 1 }

Proposition 1.9 (prop:1.9): the sequence (1/n)_{n≥1} viewed as a map ℕ → [0,1].

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    Proposition 1.9 (prop:1.9): the point 1 in the closed unit interval.

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      Proposition 1.9 (prop:1.9): the point 0 in the closed unit interval.

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        Proposition 1.9 (prop:1.9): coercions and interior points of the sequence.

        Proposition 1.9 (prop:1.9): the swapped metric on the sequence near 1.

        Proposition 1.9: let X = [0,1] with the usual metric d(x,y)=|x-y|, let f swap 0 and 1 and fix all x ∈ (0,1), and define d'(x,y)=|f(x)-f(y)|. Then the sequence (1/n)_{n≥1} converges to 1 with respect to d'.

        theorem helperForProposition_1_10_abs_dist_dist_le {X : Type u_1} [MetricSpace X] (a b c d : X) :
        |dist a b - dist c d| dist a c + dist b d

        Helper for Proposition 1.10: bound the difference of distances by a sum.

        theorem helperForProposition_1_10_max_index_eventually {P Q : Prop} {N1 N2 : } (hP : nN1, P n) (hQ : nN2, Q n) (n : ) :
        n max N1 N2P n Q n

        Helper for Proposition 1.10: combine two eventual bounds past a max index.

        theorem dist_seq_converges_of_converges {X : Type u_1} [MetricSpace X] (x y : X) (x0 y0 : X) :
        SeqConvergesFromWith dist x 1 x0SeqConvergesFromWith dist y 1 y0RealSeqConvergesFrom (fun (n : ) => dist (x n) (y n)) 1 (dist x0 y0)

        Proposition 1.10: if x_n → x and y_n → y in a metric space, then d(x_n,y_n) converges to d(x,y).

        theorem l2Distance_le_l1Distance_le_sqrt_n_l2Distance_prop (n : ) (hn : 1 n) (x y : Fin n) :

        Proposition 1.30 (Comparison of ℓ^1 and ℓ^2 metrics): let n ≥ 1 and x,y ∈ ℝ^n. Then d_{ℓ^2}(x,y) ≤ d_{ℓ^1}(x,y) ≤ √n * d_{ℓ^2}(x,y).

        Proposition 1.31 (Comparison of ℓ^2 and ℓ^∞ metrics): let n ≥ 1 and x,y ∈ ℝ^n. Then (1/√n) d_{ℓ^2}(x,y) ≤ d_{ℓ^∞}(x,y) ≤ d_{ℓ^2}(x,y).

        Proposition 1.32 (Equivalence of ℓ^1, ℓ^2, ℓ^∞ metrics): let n ≥ 1. A sequence in ℝ^n converges to x with respect to one of these metrics iff it converges to x with respect to each of the other two metrics.