/- Copyright (c) 2020 Scott Morrison. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Scott Morrison -/ import algebra.star.basic import analysis.special_functions.pow /-! # The Clauser-Horne-Shimony-Holt inequality and Tsirelson's inequality. We establish a version of the Clauser-Horne-Shimony-Holt (CHSH) inequality (which is a generalization of Bell's inequality). This is a foundational result which implies that quantum mechanics is not a local hidden variable theory. As usually stated the CHSH inequality requires substantial language from physics and probability, but it is possible to give a statement that is purely about ordered `*`-algebras. We do that here, to avoid as many practical and logical dependencies as possible. Since the algebra of observables of any quantum system is an ordered `*`-algebra (in particular a von Neumann algebra) this is a strict generalization of the usual statement. Let `R` be a `*`-ring. A CHSH tuple in `R` consists of * four elements `A₀ A₁ B₀ B₁ : R`, such that * each `Aᵢ` and `Bⱼ` is a self-adjoint involution, and * the `Aᵢ` commute with the `Bⱼ`. The physical interpretation is that the four elements are observables (hence self-adjoint) that take values ±1 (hence involutions), and that the `Aᵢ` are spacelike separated from the `Bⱼ` (and hence commute). The CHSH inequality says that when `R` is an ordered `*`-ring (that is, a `*`-ring which is ordered, and for every `r : R`, `0 ≤ star r * r`), which is moreover *commutative*, we have `A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2` On the other hand, Tsirelson's inequality says that for any ordered `*`-ring we have `A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2√2` (A caveat: in the commutative case we need 2⁻¹ in the ring, and in the noncommutative case we need √2 and √2⁻¹. To keep things simple we just assume our rings are ℝ-algebras.) The proofs I've seen in the literature either assume a significant framework for quantum mechanics, or assume the ring is a `C^*`-algebra. In the `C^*`-algebra case, the order structure is completely determined by the `*`-algebra structure: `0 ≤ A` iff there exists some `B` so `A = star B * B`. There's a nice proof of both bounds in this setting at https://en.wikipedia.org/wiki/Tsirelson%27s_bound The proof given here is purely algebraic. ## Future work One can show that Tsirelson's inequality is tight. In the `*`-ring of n-by-n complex matrices, if `A ≤ λ I` for some `λ : ℝ`, then every eigenvalue has absolute value at most `λ`. There is a CHSH tuple in 4-by-4 matrices such that `A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁` has `2√2` as an eigenvalue. ## References * [Clauser, Horne, Shimony, Holt, *Proposed experiment to test local hidden-variable theories*][zbMATH06785026] * [Bell, *On the Einstein Podolsky Rosen Paradox*][MR3790629] * [Tsirelson, *Quantum generalizations of Bell's inequality*][MR577178] -/ universes u /-- A CHSH tuple in a *-monoid consists of 4 self-adjoint involutions `A₀ A₁ B₀ B₁` such that the `Aᵢ` commute with the `Bⱼ`. The physical interpretation is that `A₀` and `A₁` are a pair of boolean observables which are spacelike separated from another pair `B₀` and `B₁` of boolean observables. -/ @[nolint has_nonempty_instance] structure is_CHSH_tuple {R} [monoid R] [star_semigroup R] (A₀ A₁ B₀ B₁ : R) := (A₀_inv : A₀^2 = 1) (A₁_inv : A₁^2 = 1) (B₀_inv : B₀^2 = 1) (B₁_inv : B₁^2 = 1) (A₀_sa : star A₀ = A₀) (A₁_sa : star A₁ = A₁) (B₀_sa : star B₀ = B₀) (B₁_sa : star B₁ = B₁) (A₀B₀_commutes : A₀ * B₀ = B₀ * A₀) (A₀B₁_commutes : A₀ * B₁ = B₁ * A₀) (A₁B₀_commutes : A₁ * B₀ = B₀ * A₁) (A₁B₁_commutes : A₁ * B₁ = B₁ * A₁) variables {R : Type u} lemma CHSH_id [comm_ring R] {A₀ A₁ B₀ B₁ : R} (A₀_inv : A₀^2 = 1) (A₁_inv : A₁^2 = 1) (B₀_inv : B₀^2 = 1) (B₁_inv : B₁^2 = 1) : (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) = 4 * (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁) := -- If we had a Gröbner basis algorithm, this would be trivial. -- Without one, it is somewhat tedious! begin rw ← sub_eq_zero, repeat { ring_nf, simp only [A₁_inv, B₁_inv, sub_eq_add_neg, add_mul, mul_add, sub_mul, mul_sub, add_assoc, neg_add, neg_sub, sub_add, sub_sub, neg_mul, ←sq, A₀_inv, B₀_inv, ←sq, ←mul_assoc, one_mul, mul_one, add_right_neg, add_zero, sub_eq_add_neg, A₀_inv, mul_one, add_right_neg, zero_mul] } end /-- Given a CHSH tuple (A₀, A₁, B₀, B₁) in a *commutative* ordered `*`-algebra over ℝ, `A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2`. (We could work over ℤ[⅟2] if we wanted to!) -/ lemma CHSH_inequality_of_comm [ordered_comm_ring R] [star_ordered_ring R] [algebra ℝ R] [ordered_smul ℝ R] (A₀ A₁ B₀ B₁ : R) (T : is_CHSH_tuple A₀ A₁ B₀ B₁) : A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2 := begin let P := (2 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁), have i₁ : 0 ≤ P, { have idem : P * P = 4 * P := CHSH_id T.A₀_inv T.A₁_inv T.B₀_inv T.B₁_inv, have idem' : P = (1 / 4 : ℝ) • (P * P), { have h : 4 * P = (4 : ℝ) • P := by simp [algebra.smul_def], rw [idem, h, ←mul_smul], norm_num, }, have sa : star P = P, { dsimp [P], simp only [star_add, star_sub, star_mul, star_bit0, star_one, T.A₀_sa, T.A₁_sa, T.B₀_sa, T.B₁_sa, mul_comm B₀, mul_comm B₁], }, rw idem', conv_rhs { congr, skip, congr, rw ←sa, }, convert smul_le_smul_of_nonneg (star_mul_self_nonneg : 0 ≤ star P * P) _, { simp, }, { apply_instance, }, { norm_num, } }, apply le_of_sub_nonneg, simpa only [sub_add_eq_sub_sub, ←sub_add] using i₁, end /-! We now prove some rather specialized lemmas in preparation for the Tsirelson inequality, which we hide in a namespace as they are unlikely to be useful elsewhere. -/ local notation `√2` := (real.sqrt 2 : ℝ) namespace tsirelson_inequality /-! Before proving Tsirelson's bound, we prepare some easy lemmas about √2. -/ -- This calculation, which we need for Tsirelson's bound, -- defeated me. Thanks for the rescue from Shing Tak Lam! lemma tsirelson_inequality_aux : √2 * √2 ^ 3 = √2 * (2 * √2⁻¹ + 4 * (√2⁻¹ * 2⁻¹)) := begin ring_nf, field_simp [(@real.sqrt_pos 2).2 (by norm_num)], convert congr_arg (^2) (@real.sq_sqrt 2 (by norm_num)) using 1; simp only [← pow_mul]; norm_num, end lemma sqrt_two_inv_mul_self : √2⁻¹ * √2⁻¹ = (2⁻¹ : ℝ) := by { rw ←mul_inv, norm_num } end tsirelson_inequality open tsirelson_inequality /-- In a noncommutative ordered `*`-algebra over ℝ, Tsirelson's bound for a CHSH tuple (A₀, A₁, B₀, B₁) is `A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ 2^(3/2) • 1`. We prove this by providing an explicit sum-of-squares decomposition of the difference. (We could work over `ℤ[2^(1/2), 2^(-1/2)]` if we really wanted to!) -/ lemma tsirelson_inequality [ordered_ring R] [star_ordered_ring R] [algebra ℝ R] [ordered_smul ℝ R] [star_module ℝ R] (A₀ A₁ B₀ B₁ : R) (T : is_CHSH_tuple A₀ A₁ B₀ B₁) : A₀ * B₀ + A₀ * B₁ + A₁ * B₀ - A₁ * B₁ ≤ √2^3 • 1 := begin -- abel will create `ℤ` multiplication. We will `simp` them away to `ℝ` multiplication. have M : ∀ (m : ℤ) (a : ℝ) (x : R), m • a • x = ((m : ℝ) * a) • x := λ m a x, by rw [zsmul_eq_smul_cast ℝ, ← mul_smul], let P := √2⁻¹ • (A₁ + A₀) - B₀, let Q := √2⁻¹ • (A₁ - A₀) + B₁, have w : √2^3 • 1 - A₀ * B₀ - A₀ * B₁ - A₁ * B₀ + A₁ * B₁ = √2⁻¹ • (P^2 + Q^2), { dsimp [P, Q], -- distribute out all the powers and products appearing on the RHS simp only [sq, sub_mul, mul_sub, add_mul, mul_add, smul_add, smul_sub], -- pull all coefficients out to the front, and combine `√2`s where possible simp only [algebra.mul_smul_comm, algebra.smul_mul_assoc, ←mul_smul, sqrt_two_inv_mul_self], -- replace Aᵢ * Aᵢ = 1 and Bᵢ * Bᵢ = 1 simp only [←sq, T.A₀_inv, T.A₁_inv, T.B₀_inv, T.B₁_inv], -- move Aᵢ to the left of Bᵢ simp only [←T.A₀B₀_commutes, ←T.A₀B₁_commutes, ←T.A₁B₀_commutes, ←T.A₁B₁_commutes], -- collect terms, simplify coefficients, and collect terms again: abel, -- all terms coincide, but the last one. Simplify all other terms simp only [M], simp only [neg_mul, int.cast_bit0, one_mul, mul_inv_cancel_of_invertible, int.cast_one, one_smul, int.cast_neg, add_right_inj, neg_smul, ← add_smul], -- just look at the coefficients now: congr, exact mul_left_cancel₀ (by norm_num) tsirelson_inequality_aux, }, have pos : 0 ≤ √2⁻¹ • (P^2 + Q^2), { have P_sa : star P = P, { dsimp [P], simp only [star_smul, star_add, star_sub, star_id_of_comm, T.A₀_sa, T.A₁_sa, T.B₀_sa, T.B₁_sa], }, have Q_sa : star Q = Q, { dsimp [Q], simp only [star_smul, star_add, star_sub, star_id_of_comm, T.A₀_sa, T.A₁_sa, T.B₀_sa, T.B₁_sa], }, have P2_nonneg : 0 ≤ P^2, { rw [sq], conv { congr, skip, congr, rw ←P_sa, }, convert (star_mul_self_nonneg : 0 ≤ star P * P), }, have Q2_nonneg : 0 ≤ Q^2, { rw [sq], conv { congr, skip, congr, rw ←Q_sa, }, convert (star_mul_self_nonneg : 0 ≤ star Q * Q), }, convert smul_le_smul_of_nonneg (add_nonneg P2_nonneg Q2_nonneg) (le_of_lt (show 0 < √2⁻¹, by norm_num)), -- `norm_num` can't directly show `0 ≤ √2⁻¹` simp, }, apply le_of_sub_nonneg, simpa only [sub_add_eq_sub_sub, ←sub_add, w] using pos, end