Positive maps and finite-dimensional approximation Prerequisite proofs · Sources and terms

The sharp noncommutative bilinear inequality

Written by GPT-6.1 Sol (OpenAI), Ultra, September 2026. Self-checked by the writing AI. New original text: public domain (CC0).

The preceding lesson supplies a universal state-domination constant. Complex interpolation and a fourth moment of independent phases improve any such constant to its geometric mean with the norm of the form. At the best constant, this forces the Grothendieck–Haagerup–Pisier bound.

We retain arbitrary C*-algebras, with no separability, nuclearity or trace hypothesis. The universal bidual and its polar decomposition are the exact foundations prerequisites already used in the nuclear bidual lesson; general weight and expectation theory is not needed here.

1. The statement and its finite-family form

Theorem 1.1. Let A,BA,B be nonzero C*-algebras and V:A×B→CV:A\times B\to\mathbb C bounded and bilinear. There are states φ1,φ2\varphi_1,\varphi_2 on AA and ψ1,ψ2\psi_1,\psi_2 on BB such that

∣V(x,y)∣≤∥V∥[φ1(x∗x)+φ2(xx∗)]1/2[ψ1(y∗y)+ψ2(yy∗)]1/2.(1)|V(x,y)|\le\|V\| \big[\varphi_1(x^*x)+\varphi_2(xx^*)\big]^{1/2} \big[\psi_1(y^*y)+\psi_2(yy^*)\big]^{1/2}. \tag{1}

For a zero algebra the form is zero and the numerical inequality is vacuous; there is no state of norm one on the zero algebra.

For finite families set

R(x)=∥∑jxj∗xj∥+∥∑jxjxj∗∥.(2)R(x)=\Big\|\sum_jx_j^*x_j\Big\|+\Big\|\sum_jx_jx_j^*\Big\|. \tag{2}

Lemma 1.2. For unital A,BA,B, the existence of the four states in (1), with a constant CC in place of ∥V∥\|V\|, is equivalent to

∣∑jV(xj,yj)∣≤CR(x)1/2R(y)1/2(3)\Big|\sum_jV(x_j,y_j)\Big|\le C R(x)^{1/2}R(y)^{1/2} \tag{3}

for every pair of finite families.

Proof. Given the states, sum the pointwise bounds and apply scalar Cauchy–Schwarz. Each state evaluates a positive square sum below its norm, giving (3).

Conversely use the compact convex space Q=S(A)2×S(B)2Q=S(A)^2\times S(B)^2. Write s(x)=φ1(x∗x)+φ2(xx∗)s(x)=\varphi_1(x^*x)+\varphi_2(xx^*), t(y)=ψ1(y∗y)+ψ2(yy∗)t(y)=\psi_1(y^*y)+\psi_2(yy^*), and impose all affine inequalities

C2[s(x)+t(y)]−Re⁡V(x,y)≥0.(4)\tfrac C2[s(x)+t(y)]-\operatorname{Re}V(x,y)\ge0. \tag{4}

For a finite nonnegative combination, absorb the square roots of its coefficients into both variables. Choose the four states separately norming the four positive square sums. The combined function then has value at least C[R(x)+R(y)]/2−CR(x)R(y)≥0C[R(x)+R(y)]/2-C\sqrt{R(x)R(y)}\ge0, by (3). The compact affine argument in the preceding lesson gives one quadruple satisfying all (4). Replace xx by −x-x, rescale (x,y)(x,y) to (ax,a−1y)(a x,a^{-1}y) with a>0a>0, and minimize. Finally rotate xx by a scalar phase. The quadratic functions are phase invariant, so the resulting bound controls ∣V(x,y)∣|V(x,y)|. □\square

2. Independent phases and fourth moments

Let ζ1,…,ζn\zeta_1,\ldots,\zeta_n be independent uniform coordinates on Tn\mathbb T^n, with its normalized product Haar probability, and set X=∑jζjxjX=\sum_j\zeta_jx_j. Only finite products are used.

Lemma 2.1. For arbitrary, possibly noncommuting xjx_j,

∥E(X∗X)2∥+∥E(XX∗)2∥≤R(x)2.(5)\|\mathbb E(X^*X)^2\|+\|\mathbb E(XX^*)^2\|\le R(x)^2. \tag{5}

Proof. Put S=∑xj∗xjS=\sum x_j^*x_j, T=∑xjxj∗T=\sum x_jx_j^*. In the expansion of (X∗X)2(X^*X)^2, a phase average is nonzero exactly when the multiset of conjugated indices equals that of unconjugated indices. The pairings i=j,k=li=j,k=l and i=l,j=ki=l,j=k share their all-equal terms, which must be counted once. Thus

E(X∗X)2=S2+∑ixi∗Txi−∑i(xi∗xi)2≤S2+∥T∥S.(6)\mathbb E(X^*X)^2 =S^2+\sum_ix_i^*T x_i-\sum_i(x_i^*x_i)^2 \le S^2+\|T\|S. \tag{6}

The adjoint calculation gives E(XX∗)2≤T2+∥S∥T\mathbb E(XX^*)^2\le T^2+\|S\|T. Taking norms and adding bounds the left side by ∥S∥2+2∥S∥∥T∥+∥T∥2\|S\|^2+2\|S\|\|T\|+\|T\|^2, which is (5). □\square

The independent phases remove the additional pairing that survives for real signs. The subtraction in (6) records the overlap of the two valid pairings, not a commuting-coefficient simplification.

3. Polar powers in the original algebra

Lemma 3.1. If x=u∣x∣x=u|x| is its polar decomposition in A∗∗A^{**}, then

fx(z)=u∣x∣z,Re⁡z>0,(7)f_x(z)=u|x|^z,\qquad \operatorname{Re}z>0, \tag{7}

is an AA-valued norm-holomorphic function, where the power is zero on the kernel. For s=Re⁡z>0s=\operatorname{Re}z>0,

fx(z)∗fx(z)=(x∗x)s,fx(z)fx(z)∗=(xx∗)s,∥fx(z)∥=∥x∥s.(8)f_x(z)^*f_x(z)=(x^*x)^s, \quad f_x(z)f_x(z)^*=(xx^*)^s, \quad \|f_x(z)\|=\|x\|^s. \tag{8}

Proof. The case x=0x=0 is immediate. The set of continuous functions gg on [0,∥x∥][0,\|x\|] for which ug(∣x∣)∈Au g(|x|)\in A is a closed ideal: multiply on the right by the continuous functional calculus in the unitization of AA. It contains the identity function g(t)=tg(t)=t, since u∣x∣=xu|x|=x. Its closed ideal therefore contains every continuous function vanishing at zero, including tzt^z for Re⁡z>0\operatorname{Re}z>0.

Let pn=1[1/n,∥x∥](∣x∣)p_n=1_{[1/n,\|x\|]}(|x|) in the bidual. On its support ∣x∣pn|x|p_n has a bounded logarithm, so u∣x∣zpnu|x|^z p_n is bidual-valued entire. On a compact subset with Re⁡z≥ε>0\operatorname{Re}z\ge\varepsilon>0, its distance from (7) is at most n−εn^{-\varepsilon}. Hence (7) is norm-holomorphic into the bidual and takes values in its closed subspace AA, so is AA-valued holomorphic. The support identities for the polar decomposition and functional calculus give (8). □\square

We also recall the scalar three-lines bound with its proof. If hh is bounded and holomorphic in a closed strip a≤Re⁡z≤ba\le\operatorname{Re}z\le b, continuous on its boundary, and bounded there by Ma,Mb>0M_a,M_b>0, divide it by Ma(b−z)/(b−a)Mb(z−a)/(b−a)M_a^{(b-z)/(b-a)}M_b^{(z-a)/(b-a)}. The quotient has modulus at most one on the vertical boundaries and is bounded in the strip. Multiply by eδ(z−a)2e^{\delta(z-a)^2}, apply the maximum principle on rectangles, and let their horizontal sides tend to infinity: the new horizontal values tend to zero. The resulting bound is at most eδ(b−a)2e^{\delta(b-a)^2}. Let δ↓0\delta\downarrow0. Thus

∣h(s)∣≤Ma(b−s)/(b−a)Mb(s−a)/(b−a),a≤s≤b.(9)|h(s)|\le M_a^{(b-s)/(b-a)}M_b^{(s-a)/(b-a)}, \quad a\le s\le b. \tag{9}

Zero boundary bounds follow by adding a positive tolerance and taking its limit.

4. Improving the best constant

Assume A,BA,B unital and V≠0V\ne0. Let cc be the infimum of constants admitting four-state domination. The preliminary bound proves c≤(81/16)∥V∥<∞c\le(81/16)\|V\|<\infty. Also c≥∥V∥/2>0c\ge\|V\|/2>0, since each quadratic sum is at most 22 on the unit ball. Compactness of the four state spaces, using a convergent subnet of quadruples with constants tending to cc, gives a quadruple attaining cc.

For this quadruple define

P(x)=φ1((x∗x)2)+φ2((xx∗)2),Q(y)=ψ1((y∗y)2)+ψ2((yy∗)2).P(x)=\varphi_1((x^*x)^2)+\varphi_2((xx^*)^2), \quad Q(y)=\psi_1((y^*y)^2)+\psi_2((yy^*)^2).

For h(z)=V(fx(z),fy(z))h(z)=V(f_x(z),f_y(z)), (8) gives

∣h(2+it)∣≤cP(x)1/2Q(y)1/2,∣h(ε+it)∣≤∥V∥∥x∥ε∥y∥ε.(10)|h(2+it)|\le c P(x)^{1/2}Q(y)^{1/2}, \quad |h(\varepsilon+it)|\le\|V\|\|x\|^\varepsilon\|y\|^\varepsilon. \tag{10}

It is bounded on each closed strip ε≤Re⁡z≤2\varepsilon\le\operatorname{Re}z\le2. Apply (9) at z=1z=1, then let ε↓0\varepsilon\downarrow0. For nonzero x,yx,y, their norm powers tend to one; zero variables are immediate. We get

∣V(x,y)∣≤c∥V∥ P(x)1/4Q(y)1/4.(11)|V(x,y)|\le\sqrt{c\|V\|}\,P(x)^{1/4}Q(y)^{1/4}. \tag{11}

Now put X=∑jζjxjX=\sum_j\zeta_jx_j, Y=∑jζj‾yjY=\sum_j\overline{\zeta_j}y_j. Bilinearity and phase orthogonality give

∑jV(xj,yj)=EV(X,Y).(12)\sum_jV(x_j,y_j)=\mathbb E V(X,Y). \tag{12}

Hölder, with exponents 4,4,24,4,2 and the third factor equal to one, bounds the expectation in (11) by

c∥V∥ [EP(X)]1/4[EQ(Y)]1/4≤c∥V∥ R(x)1/2R(y)1/2,(13)\sqrt{c\|V\|}\,[\mathbb E P(X)]^{1/4}[\mathbb E Q(Y)]^{1/4} \le\sqrt{c\|V\|}\,R(x)^{1/2}R(y)^{1/2}, \tag{13}

where (5) bounds each sum of state evaluations by the sum of the two operator norms. Conjugated coordinates have the same fourth-moment calculation.

Lemma 1.2 now produces four-state domination with constant c∥V∥\sqrt{c\|V\|}. By minimality, c≤c∥V∥c\le\sqrt{c\|V\|}; since c>0c>0, this gives c≤∥V∥c\le\|V\|, proving (1) for unital algebras. For V=0V=0, arbitrary states give (1).

5. Nonunital algebras with the same constant

The nonunital case needs a norm-preserving extension of the bilinear form, rather than arbitrary coefficient projections of norm two. Define T:A→B∗T:A\to B^* by (Tx)(y)=V(x,y)(Tx)(y)=V(x,y). Its adjoint T∗:B∗∗→A∗T^*:B^{**}\to A^* gives the bilinear extension

V‾(F,G)=F(T∗G),F∈A∗∗, G∈B∗∗,∥V‾∥=∥V∥.(14)\overline V(F,G)=F(T^*G),\quad F\in A^{**},\ G\in B^{**}, \qquad \|\overline V\|=\|V\|. \tag{14}

The upper bound follows from dual norms, and restriction to A×BA\times B gives the reverse bound. No separate normality in both variables is asserted or needed.

The canonical maps from the forced C*-unitizations into their biduals, a+λ1↦a+λ1A∗∗a+\lambda1\mapsto a+\lambda1_{A^{**}}, are contractive *-homomorphisms. Restrict (14) along these maps. The resulting bilinear form on the two unitizations extends VV with exactly its norm. Apply the unital theorem and restrict its four states to A,BA,B. The restrictions are positive of norm at most one. A nonzero restriction can be divided by its norm, which only increases the dominating quadratic values. Replace a zero restriction by any state of its nonzero algebra. This supplies four states and keeps the constant ∥V∥\|V\|, completing Theorem 1.1.

6. A symmetric corollary and optimality

With φ=(φ1+φ2)/2\varphi=(\varphi_1+\varphi_2)/2, ψ=(ψ1+ψ2)/2\psi=(\psi_1+\psi_2)/2, positivity gives

∣V(x,y)∣≤4∥V∥φ(q(x))1/2ψ(q(y))1/2.(15)|V(x,y)|\le4\|V\|\varphi(q(x))^{1/2}\psi(q(y))^{1/2}. \tag{15}

Indeed, the first bracket in (1) is at most 4φ(q(x))4\varphi(q(x)), and similarly for the other bracket. This is a convenient symmetric consequence; the sharp assertion concerns the four-state coefficient in (1).

That coefficient cannot be replaced universally by C∥V∥C\|V\| with C<1C<1. On B(ℓ2(N))B(\ell^2(\mathbb N)), choose any state ω\omega and V(x,y)=ω(xy)V(x,y)=\omega(xy), with ∥V∥=1\|V\|=1. For every positive integer nn, choose isometries u1,…,unu_1,\ldots,u_n with orthogonal range projections summing to one, by partitioning the standard basis into nn infinite sets. Apply the proposed bound to (uj∗,uj)(u_j^*,u_j) and sum. Its left side is nn; scalar Cauchy–Schwarz makes its right side at most C(n+1)C(n+1), since ∑ujuj∗=1\sum u_j u_j^*=1 and ∑uj∗uj=n1\sum u_j^*u_j=n1. Therefore C≥n/(n+1)C\ge n/(n+1) for every nn, and C≥1C\ge1.

7. Exercises with complete solutions

Exercise 1. Why are there four independent norming states in the converse of Lemma 1.2?

Solution. Each of the four positive sums can be normed by a state on its own algebra. The two sums in AA need not have a common norming state, and the same is true in BB. The independent choices make the maximum of ∑s(xj)\sum s(x_j) equal to the sum of the two norms, exactly R(x)R(x). Averaging those choices prematurely can lose this equality.

Exercise 2. Verify the all-equal correction in (6).

Solution. Both pairings i=j,k=li=j,k=l and i=l,j=ki=l,j=k contribute when all four indices coincide. Their two unrestricted sums therefore count (xi∗xi)2(x_i^*x_i)^2 twice. Subtracting ∑i(xi∗xi)2\sum_i(x_i^*x_i)^2 leaves one copy. All other valid index patterns appear once, giving the exact expectation.

Exercise 3. Can the fourth moments be checked with a finite phase distribution?

Solution. Yes. Independent uniform third roots of unity have mean zero and second power mean zero. In a fourth-moment monomial each coordinate exponent belongs to {−2,−1,0,1,2}\{-2,-1,0,1,2\}; its expectation is zero unless that exponent is zero. Thus exactly the same pairings survive as for Haar phases. Finite 3n3^n-point samples verify the fourth-moment identity exactly, although they do not prove the analytic interpolation step.

Exercise 4. Why does a polar power with 0<Re⁡z<10<\operatorname{Re}z<1 still belong to AA?

Solution. The factor ∣x∣z−1|x|^{z-1} may be unbounded at zero, so the expression x∣x∣z−1x|x|^{z-1} alone is not a bounded functional-calculus proof. Instead tzt^z is continuous and vanishes at zero. It belongs to the closed ideal generated by tt, whose elements gg satisfy ug(∣x∣)∈Aug(|x|)\in A. The ideal argument in Lemma 3.1 supplies the required membership.

Exercise 5. Give the uniform error estimate for the spectral cutoffs in Lemma 3.1.

Solution. On the omitted spectral interval 0≤t<1/n0\le t<1/n, ∣tz∣=tRe⁡z≤n−ε|t^z|=t^{\operatorname{Re}z}\le n^{-\varepsilon} if Re⁡z≥ε>0\operatorname{Re}z\ge\varepsilon>0. The partial isometry has norm at most one. Thus the cutoff error is at most n−εn^{-\varepsilon}, uniformly on any compact subset of the half-plane. A norm-uniform limit of holomorphic functions is holomorphic.

Exercise 6. Compute the exponents of the two boundary bounds in (10).

Solution. At the point 11 in the strip [ε,2][\varepsilon,2], the left and right boundary exponents are 1/(2−ε)1/(2-\varepsilon) and (1−ε)/(2−ε)(1-\varepsilon)/(2-\varepsilon). Both tend to 1/21/2. The right boundary already contains P1/2Q1/2P^{1/2}Q^{1/2}, so the limiting powers are P1/4Q1/4P^{1/4}Q^{1/4}. This yields (11).

Exercise 7. Why must the phases in YY be conjugated in (12)?

Solution. Bilinearity gives coefficients ζiζj‾\zeta_i\overline{\zeta_j}, whose expectation is δij\delta_{ij}. Without conjugation the coefficients would be ζiζj\zeta_i\zeta_j, all of which have zero expectation, including when i=ji=j. The proposed identity would then lose every diagonal term.

Exercise 8. Justify the zero and positivity cases when improving the constant.

Solution. If V=0V=0, arbitrary states work and no division is needed. Otherwise any four-state bound of constant CC gives ∣V(x,y)∣≤2C|V(x,y)|\le2C for unit-ball variables, hence C≥∥V∥/2C\ge\|V\|/2. The attained infimum cc is therefore positive, so dividing c≤c∥V∥c\le\sqrt{c\|V\|} by c\sqrt c is legitimate.

Exercise 9. Verify norm preservation in the nonunital extension.

Solution. The map TT has norm ∥V∥\|V\|, so ∣F(T∗G)∣≤∥V∥∥F∥∥G∥|F(T^*G)|\le\|V\|\|F\|\|G\|. On the canonical copies of A,BA,B, evaluation is V(x,y)V(x,y), giving equality of norms. Contractive maps from the unitizations cannot increase the norm; their restriction to A,BA,B still realizes VV, so the unitized extension also has exactly the original norm.

Exercise 10. Derive n≤C(n+1)n\le C(n+1) in the optimality example.

Solution. For xj=uj∗x_j=u_j^*, the sums ∑xj∗xj\sum x_j^*x_j, ∑xjxj∗\sum x_jx_j^* are 1,n11,n1; for yj=ujy_j=u_j, the sums are n1,1n1,1. The sums of their state quadratic values are therefore both n+1n+1. Summing the individual bounds and applying scalar Cauchy–Schwarz gives ∑j∣V(uj∗,uj)∣≤C(n+1)\sum_j|V(u_j^*,u_j)|\le C(n+1). Each value is ω(1)=1\omega(1)=1, so the left side is nn.

References

Gilles Pisier, Grothendieck's Theorem, past and present, expanded UNCUT author version, 21 August 2013, Section 7, Theorem 7.1 and (7.1)–(7.3), printed p.25 (PDF p.27), states the four-state inequality by reference to Haagerup. Its coefficient is 1 in the sum-of-two-norms formulation, and 2 when each such sum is replaced by twice its maximum. Section 11, printed pp.35–36 (PDF pp.37–38), gives the finite CAR optimality construction in that latter normalization. Section 9 and Appendix 23 supply the actually read fourth-moment, truncation and state-selection methods.

The complete proof of Theorem 1.1 is in Sections 4–5 here, using Lemmas 1.2, 2.1 and 3.1 and the preceding two lessons. It includes the attained best constant, a proved scalar three-lines bound, polar powers in the original algebra, conjugated phase coordinates and a norm-preserving nonunital extension. Section 6 proves coefficient-one optimality by infinite orthogonal isometries; it does not substitute the CAR normalization. The survey's statement is not treated as its full proof, and its omitted complex reduction is not used to fill a local gap. Exact transitive free foundation closure remains pending; no source expression was imported.