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The PickNevanlinna problem: from metric geometry to matrix positivity Gautam Bharali Indian Institute of Science bharali@iisc.ac.in Eigenfunction 2019 (with Apoorva Khare) Indian Institute of Science April 12, 2019 Gautam Bharali The


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The Pick–Nevanlinna problem: from metric geometry to matrix positivity

Gautam Bharali Indian Institute of Science

bharali@iisc.ac.in

Eigenfunction 2019 (with Apoorva Khare) Indian Institute of Science April 12, 2019

Gautam Bharali The Pick–Nevanlinna problem

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1The central problem

The Pick–Nevanlinna Interpolation Problem in general:

Gautam Bharali The Pick–Nevanlinna problem

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1The central problem

The Pick–Nevanlinna Interpolation Problem in general: (∗) Ωk ⊂ Cnk are domains, k = 1, 2. Given M distinct points z1, . . . , zM ∈ Ω1, and points w1, . . . , wM in Ω2, find nec. & suff. conditions on (z1, w1), (z2, w2), . . . , (zM, wM), such that there exists a holomorphic map F : Ω1 → Ω2 satisfying F(zj) = wj, 1 ≤ j ≤ M.

Gautam Bharali The Pick–Nevanlinna problem

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1The central problem

The Pick–Nevanlinna Interpolation Problem in general: (∗) Ωk ⊂ Cnk are domains, k = 1, 2. Given M distinct points z1, . . . , zM ∈ Ω1, and points w1, . . . , wM in Ω2, find nec. & suff. conditions on (z1, w1), (z2, w2), . . . , (zM, wM), such that there exists a holomorphic map F : Ω1 → Ω2 satisfying F(zj) = wj, 1 ≤ j ≤ M. (∗) derives its name from the solution to this problem for Ω1 = Ω2 = D given by

  • G. Pick & rediscovered by R. Nevanlinna.

Gautam Bharali The Pick–Nevanlinna problem

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1The central problem

The Pick–Nevanlinna Interpolation Problem in general: (∗) Ωk ⊂ Cnk are domains, k = 1, 2. Given M distinct points z1, . . . , zM ∈ Ω1, and points w1, . . . , wM in Ω2, find nec. & suff. conditions on (z1, w1), (z2, w2), . . . , (zM, wM), such that there exists a holomorphic map F : Ω1 → Ω2 satisfying F(zj) = wj, 1 ≤ j ≤ M. (∗) derives its name from the solution to this problem for Ω1 = Ω2 = D given by

  • G. Pick & rediscovered by R. Nevanlinna.

Theorem (G. Pick, R. Nevanlinna). Let z1, . . . , zM be distinct points in D and w1, . . . , wM ∈ D. There exists F ∈ Hol(D; D) satisfying F(zj) = wj, 1 ≤ j ≤ M, iff the matrix 1 − wkwj 1 − zkzj M

j,k=1

is positive semi-definite.

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition?

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach:

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties:

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties: ◮ elements of H are C-valued functions on S;

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties: ◮ elements of H are C-valued functions on S; ◮ evalx is a bounded linear functional ∀x ∈ S.

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties: ◮ elements of H are C-valued functions on S; ◮ evalx is a bounded linear functional ∀x ∈ S. Equip Cn with a complex inner product. Define the vector space Mult(H, H ⊗ Cn) := {φ : S → Cn | hφ ∈ H ⊗ Cn ∀h ∈ H} viewed as a subspace of B(H, H ⊗ Cn).

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties: ◮ elements of H are C-valued functions on S; ◮ evalx is a bounded linear functional ∀x ∈ S. Equip Cn with a complex inner product. Define the vector space Mult(H, H ⊗ Cn) := {φ : S → Cn | hφ ∈ H ⊗ Cn ∀h ∈ H} viewed as a subspace of B(H, H ⊗ Cn). If we write Mφ(h) := h ⊗ φ (= hφ), h ∈ H, then it’s easy to show: Mφop ≤ 1 ⇐ ⇒ (I − MφM ∗

φ) is positive semi-definite.

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties: ◮ elements of H are C-valued functions on S; ◮ evalx is a bounded linear functional ∀x ∈ S. Equip Cn with a complex inner product. Define the vector space Mult(H, H ⊗ Cn) := {φ : S → Cn | hφ ∈ H ⊗ Cn ∀h ∈ H} viewed as a subspace of B(H, H ⊗ Cn). If we write Mφ(h) := h ⊗ φ (= hφ), h ∈ H, then it’s easy to show: Mφop ≤ 1 ⇐ ⇒ (I − MφM ∗

φ) is positive semi-definite.

Denote by K(· , x) ∈ H the Riesz representative of evalx.

Gautam Bharali The Pick–Nevanlinna problem

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2Towards a necessary condition

How does one even guess such a condition? Sarason gave the following argument — which he says is implicit in Nevanlinna’s approach: Given a non-empty set S, a Hilbert function space on S is a complex Hilbert space H with the following properties: ◮ elements of H are C-valued functions on S; ◮ evalx is a bounded linear functional ∀x ∈ S. Equip Cn with a complex inner product. Define the vector space Mult(H, H ⊗ Cn) := {φ : S → Cn | hφ ∈ H ⊗ Cn ∀h ∈ H} viewed as a subspace of B(H, H ⊗ Cn). If we write Mφ(h) := h ⊗ φ (= hφ), h ∈ H, then it’s easy to show: Mφop ≤ 1 ⇐ ⇒ (I − MφM ∗

φ) is positive semi-definite.

Denote by K(· , x) ∈ H the Riesz representative of evalx. With these constructs, we discover. . .

Gautam Bharali The Pick–Nevanlinna problem

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3Towards a necessary condition, cont’d.

Proposition (Sarason). Let S be a non-empty set and H a Hilbert function space on it. Fix · , · on Cn. Let x1, . . . , xM be distinct points in S and w1, . . . , wM ∈ Cn s.t. wj ≤ 1, 1 ≤ j ≤ M.

Gautam Bharali The Pick–Nevanlinna problem

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3Towards a necessary condition, cont’d.

Proposition (Sarason). Let S be a non-empty set and H a Hilbert function space on it. Fix · , · on Cn. Let x1, . . . , xM be distinct points in S and w1, . . . , wM ∈ Cn s.t. wj ≤ 1, 1 ≤ j ≤ M. It there exists a φ ∈ Mult(H, H ⊗ Cn) with Mφop ≤ 1 satisfying φ(xj) = wj, 1 ≤ j ≤ M, then the matrix

  • I − (· wj)(· wk)∗

K(xj, xk) M

j,k=1

is positive semi-definite.

Gautam Bharali The Pick–Nevanlinna problem

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3Towards a necessary condition, cont’d.

Proposition (Sarason). Let S be a non-empty set and H a Hilbert function space on it. Fix · , · on Cn. Let x1, . . . , xM be distinct points in S and w1, . . . , wM ∈ Cn s.t. wj ≤ 1, 1 ≤ j ≤ M. It there exists a φ ∈ Mult(H, H ⊗ Cn) with Mφop ≤ 1 satisfying φ(xj) = wj, 1 ≤ j ≤ M, then the matrix

  • I − (· wj)(· wk)∗

K(xj, xk) M

j,k=1

is positive semi-definite. Since computing adjoints of operators on H ⊗ Cn takes time, we’ll consider the case n = 1.

Gautam Bharali The Pick–Nevanlinna problem

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3Towards a necessary condition, cont’d.

Proposition (Sarason). Let S be a non-empty set and H a Hilbert function space on it. Fix · , · on Cn. Let x1, . . . , xM be distinct points in S and w1, . . . , wM ∈ Cn s.t. wj ≤ 1, 1 ≤ j ≤ M. It there exists a φ ∈ Mult(H, H ⊗ Cn) with Mφop ≤ 1 satisfying φ(xj) = wj, 1 ≤ j ≤ M, then the matrix

  • I − (· wj)(· wk)∗

K(xj, xk) M

j,k=1

is positive semi-definite. Since computing adjoints of operators on H ⊗ Cn takes time, we’ll consider the case n = 1. In this case g, M ∗

φK(· , x) = φg, K(· , x) = φ(x)g(x) = φ(x) g, K(· , x) ∀g ∈ H

⇒ M ∗

φK(· , x) = φ(x)K(· , x).

Gautam Bharali The Pick–Nevanlinna problem

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3Towards a necessary condition, cont’d.

Proposition (Sarason). Let S be a non-empty set and H a Hilbert function space on it. Fix · , · on Cn. Let x1, . . . , xM be distinct points in S and w1, . . . , wM ∈ Cn s.t. wj ≤ 1, 1 ≤ j ≤ M. It there exists a φ ∈ Mult(H, H ⊗ Cn) with Mφop ≤ 1 satisfying φ(xj) = wj, 1 ≤ j ≤ M, then the matrix

  • I − (· wj)(· wk)∗

K(xj, xk) M

j,k=1

is positive semi-definite. Since computing adjoints of operators on H ⊗ Cn takes time, we’ll consider the case n = 1. In this case g, M ∗

φK(· , x) = φg, K(· , x) = φ(x)g(x) = φ(x) g, K(· , x) ∀g ∈ H

⇒ M ∗

φK(· , x) = φ(x)K(· , x).

Testing the positivity of (I − MφM ∗

φ) on the vector

h := M

k=1 vjK(· , xj) ∈ H,

where v1, . . . , vM ∈ C gives. . .

Gautam Bharali The Pick–Nevanlinna problem

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4Towards a necessary condition: Positivity

(I − MφM ∗

φ) M k=1 vkK(· , xk), M j=1 vjK(· , xj)

= M

k=1(vk − (vkφ) wk)K(· , xk), M j=1 vjK(· , xj) ≥ 0

Gautam Bharali The Pick–Nevanlinna problem

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4Towards a necessary condition: Positivity

(I − MφM ∗

φ) M k=1 vkK(· , xk), M j=1 vjK(· , xj)

= M

k=1(vk − (vkφ) wk)K(· , xk), M j=1 vjK(· , xj) ≥ 0

⇒ M

j,k=1(1 − wjwk)K(xj, xk)vjvk ≥ 0 ∀(v1, . . . , vn).

Gautam Bharali The Pick–Nevanlinna problem

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4Towards a necessary condition: Positivity

(I − MφM ∗

φ) M k=1 vkK(· , xk), M j=1 vjK(· , xj)

= M

k=1(vk − (vkφ) wk)K(· , xk), M j=1 vjK(· , xj) ≥ 0

⇒ M

j,k=1(1 − wjwk)K(xj, xk)vjvk ≥ 0 ∀(v1, . . . , vn).

This is precisely equivalent to saying that the matrix [(1 − wjwk)K(xj, xk)]M

j,k=1

is positive semi-definite!

  • Gautam Bharali

The Pick–Nevanlinna problem

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4Towards a necessary condition: Positivity

(I − MφM ∗

φ) M k=1 vkK(· , xk), M j=1 vjK(· , xj)

= M

k=1(vk − (vkφ) wk)K(· , xk), M j=1 vjK(· , xj) ≥ 0

⇒ M

j,k=1(1 − wjwk)K(xj, xk)vjvk ≥ 0 ∀(v1, . . . , vn).

This is precisely equivalent to saying that the matrix [(1 − wjwk)K(xj, xk)]M

j,k=1

is positive semi-definite!

  • Important remark: If n ≥ 2 and · , · is the standard complex inner product,

then the conclusion of the above is that a certain matrix consisting of M 2 n × n blocks is positive semi-definite that implies:

  • 1 − wj, wk
  • K(xj, xk)

M

j,k=1

is positive semi-definite.

Gautam Bharali The Pick–Nevanlinna problem

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5A Pick–Nevanlinna interpolation theorem

The nec. cond’n. for a contractive multiplier in Mult(H, H ⊗ Cn) that interpolates allows us to prove a theorem of which the Pick–Nevanlinna result is a special case.

Gautam Bharali The Pick–Nevanlinna problem

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5A Pick–Nevanlinna interpolation theorem

The nec. cond’n. for a contractive multiplier in Mult(H, H ⊗ Cn) that interpolates allows us to prove a theorem of which the Pick–Nevanlinna result is a special case. Theorem. Let z1, . . . , zM be distinct points in D and w1, . . . , wM ∈ Bn. There exists F ∈ Hol(D; Bn) satisfying F(zj) = wj, 1 ≤ j ≤ M, iff the matrix 1 − wj, wk 1 − zjzk M

j,k=1

( · , · being the std. complex inner product on Cn ) is positive semi-definite.

Gautam Bharali The Pick–Nevanlinna problem

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5A Pick–Nevanlinna interpolation theorem

The nec. cond’n. for a contractive multiplier in Mult(H, H ⊗ Cn) that interpolates allows us to prove a theorem of which the Pick–Nevanlinna result is a special case. Theorem. Let z1, . . . , zM be distinct points in D and w1, . . . , wM ∈ Bn. There exists F ∈ Hol(D; Bn) satisfying F(zj) = wj, 1 ≤ j ≤ M, iff the matrix 1 − wj, wk 1 − zjzk M

j,k=1

( · , · being the std. complex inner product on Cn ) is positive semi-definite. Establishing the necessary cond’n. We define the Hardy space H2(D): H2(D) := ∞

ν=0 aνzν : (aν)ν∈N ∈ ℓ2(N)

  • .

Gautam Bharali The Pick–Nevanlinna problem

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5A Pick–Nevanlinna interpolation theorem

The nec. cond’n. for a contractive multiplier in Mult(H, H ⊗ Cn) that interpolates allows us to prove a theorem of which the Pick–Nevanlinna result is a special case. Theorem. Let z1, . . . , zM be distinct points in D and w1, . . . , wM ∈ Bn. There exists F ∈ Hol(D; Bn) satisfying F(zj) = wj, 1 ≤ j ≤ M, iff the matrix 1 − wj, wk 1 − zjzk M

j,k=1

( · , · being the std. complex inner product on Cn ) is positive semi-definite. Establishing the necessary cond’n. We define the Hardy space H2(D): H2(D) := ∞

ν=0 aνzν : (aν)ν∈N ∈ ℓ2(N)

  • .

This is a Hilbert function space for which K(· , x) = 1/(1 − x ·) for any x ∈ D and — taking the standard inner product on Cn: Mult(H, H ⊗ Cn) ⊇ {φ : D → Cn | φ is holo. & bounded}, [they are actually equal] Mφop = supz∈D φ(z).

Gautam Bharali The Pick–Nevanlinna problem

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6Necessity of positivity

Thus, to find a necessary condition for a Bn-valued holomorphic function mapping zj to wj, 1 ≤ j ≤ M, one views the latter as sitting in Mult(H, H ⊗ Cn) and applies the Sarason(–Nevanlinna) proposition with:

Gautam Bharali The Pick–Nevanlinna problem

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6Necessity of positivity

Thus, to find a necessary condition for a Bn-valued holomorphic function mapping zj to wj, 1 ≤ j ≤ M, one views the latter as sitting in Mult(H, H ⊗ Cn) and applies the Sarason(–Nevanlinna) proposition with: ◮ S = D and H = H2(D);

Gautam Bharali The Pick–Nevanlinna problem

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6Necessity of positivity

Thus, to find a necessary condition for a Bn-valued holomorphic function mapping zj to wj, 1 ≤ j ≤ M, one views the latter as sitting in Mult(H, H ⊗ Cn) and applies the Sarason(–Nevanlinna) proposition with: ◮ S = D and H = H2(D); ◮ · , · = the std. inner product on Cn.

Gautam Bharali The Pick–Nevanlinna problem

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6Necessity of positivity

Thus, to find a necessary condition for a Bn-valued holomorphic function mapping zj to wj, 1 ≤ j ≤ M, one views the latter as sitting in Mult(H, H ⊗ Cn) and applies the Sarason(–Nevanlinna) proposition with: ◮ S = D and H = H2(D); ◮ · , · = the std. inner product on Cn. In view of the remark following that proposition, we have:

Gautam Bharali The Pick–Nevanlinna problem

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6Necessity of positivity

Thus, to find a necessary condition for a Bn-valued holomorphic function mapping zj to wj, 1 ≤ j ≤ M, one views the latter as sitting in Mult(H, H ⊗ Cn) and applies the Sarason(–Nevanlinna) proposition with: ◮ S = D and H = H2(D); ◮ · , · = the std. inner product on Cn. In view of the remark following that proposition, we have: If ∃F ∈ Hol(D; Bn) with F(zj) = wj, 1 ≤ j ≤ M, then 1 − wj, wk 1 − zjzk M

j,k=1

is positive semi-definite.

  • Gautam Bharali

The Pick–Nevanlinna problem

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7Geometry: transitive action

For a ∈ Bn \ {0} let proja be the orthogonal projection onto spanC{a} and Qa = idCn − proja. Then Ψa(z) := a − proja(z) − (1 − a2)1/2Qa(z) 1 − z, a ∀z ∈ Bn is a holomorphic Bn → Bn map with the properties:

Gautam Bharali The Pick–Nevanlinna problem

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7Geometry: transitive action

For a ∈ Bn \ {0} let proja be the orthogonal projection onto spanC{a} and Qa = idCn − proja. Then Ψa(z) := a − proja(z) − (1 − a2)1/2Qa(z) 1 − z, a ∀z ∈ Bn is a holomorphic Bn → Bn map with the properties: ◮ Ψa(a) = 0 and Ψa(0) = 0,

Gautam Bharali The Pick–Nevanlinna problem

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7Geometry: transitive action

For a ∈ Bn \ {0} let proja be the orthogonal projection onto spanC{a} and Qa = idCn − proja. Then Ψa(z) := a − proja(z) − (1 − a2)1/2Qa(z) 1 − z, a ∀z ∈ Bn is a holomorphic Bn → Bn map with the properties: ◮ Ψa(a) = 0 and Ψa(0) = 0, ◮ Ψa ◦ Ψa = idBn. In particular, Ψa ∈ Aut(Bn) ∀a ∈ Bn \ {0}.

Gautam Bharali The Pick–Nevanlinna problem

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7Geometry: transitive action

For a ∈ Bn \ {0} let proja be the orthogonal projection onto spanC{a} and Qa = idCn − proja. Then Ψa(z) := a − proja(z) − (1 − a2)1/2Qa(z) 1 − z, a ∀z ∈ Bn is a holomorphic Bn → Bn map with the properties: ◮ Ψa(a) = 0 and Ψa(0) = 0, ◮ Ψa ◦ Ψa = idBn. In particular, Ψa ∈ Aut(Bn) ∀a ∈ Bn \ {0}. A very special case of this map is when n = 1, in which case we shall denote the map by ψa.

Gautam Bharali The Pick–Nevanlinna problem

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7Geometry: transitive action

For a ∈ Bn \ {0} let proja be the orthogonal projection onto spanC{a} and Qa = idCn − proja. Then Ψa(z) := a − proja(z) − (1 − a2)1/2Qa(z) 1 − z, a ∀z ∈ Bn is a holomorphic Bn → Bn map with the properties: ◮ Ψa(a) = 0 and Ψa(0) = 0, ◮ Ψa ◦ Ψa = idBn. In particular, Ψa ∈ Aut(Bn) ∀a ∈ Bn \ {0}. A very special case of this map is when n = 1, in which case we shall denote the map by ψa. In this case, we get the (very familiar) map: ψa(z) := a − z 1 − az ∀z ∈ D.

Gautam Bharali The Pick–Nevanlinna problem

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8Some metric geometry

The Kobayashi (pseudo)distance: Given a domain Ω ⊂ Cn, the Kobayashi pseudodistance on Ω is: KΩ(z, w) := infC N

j=1 ρD(0, ζj) : (f1, . . . , fN; ζ1, . . . ζN) ∈ C

  • Gautam Bharali

The Pick–Nevanlinna problem

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8Some metric geometry

The Kobayashi (pseudo)distance: Given a domain Ω ⊂ Cn, the Kobayashi pseudodistance on Ω is: KΩ(z, w) := infC N

j=1 ρD(0, ζj) : (f1, . . . , fN; ζ1, . . . ζN) ∈ C

  • where C is the collection of all chains (f1, . . . , fN; ζ1, . . . ζN) of D → Ω

analytic discs linking z to w: i.e., f1(0) = z, fN(ζN) = w and fj(ζj) = fj+1(0), 1 ≤ j ≤ N − 1.

Gautam Bharali The Pick–Nevanlinna problem

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8Some metric geometry

The Kobayashi (pseudo)distance: Given a domain Ω ⊂ Cn, the Kobayashi pseudodistance on Ω is: KΩ(z, w) := infC N

j=1 ρD(0, ζj) : (f1, . . . , fN; ζ1, . . . ζN) ∈ C

  • where C is the collection of all chains (f1, . . . , fN; ζ1, . . . ζN) of D → Ω

analytic discs linking z to w: i.e., f1(0) = z, fN(ζN) = w and fj(ζj) = fj+1(0), 1 ≤ j ≤ N − 1. Obvious from construction (since the composition of holo. maps is holo.) that given domains Ω1, Ω2 and φ ∈ Hol(Ω1; Ω2), KΩ2

  • φ(z), φ(w)
  • ≤ KΩ1(z, w) ∀z, w ∈ Ω1.

Gautam Bharali The Pick–Nevanlinna problem

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8Some metric geometry

The Kobayashi (pseudo)distance: Given a domain Ω ⊂ Cn, the Kobayashi pseudodistance on Ω is: KΩ(z, w) := infC N

j=1 ρD(0, ζj) : (f1, . . . , fN; ζ1, . . . ζN) ∈ C

  • where C is the collection of all chains (f1, . . . , fN; ζ1, . . . ζN) of D → Ω

analytic discs linking z to w: i.e., f1(0) = z, fN(ζN) = w and fj(ζj) = fj+1(0), 1 ≤ j ≤ N − 1. Obvious from construction (since the composition of holo. maps is holo.) that given domains Ω1, Ω2 and φ ∈ Hol(Ω1; Ω2), KΩ2

  • φ(z), φ(w)
  • ≤ KΩ1(z, w) ∀z, w ∈ Ω1.

Examples: Both these are relevant to us: KD(z1, z2) = ρD(z1, z2) = tanh−1

  • z1 − z2

1 − z2z1

  • ,

KBn(w1, w2) = tanh−1

  • w12 + w22 − 2Rew1, w2 + ( |w1, w2|2 − w12w22)

1/2 |1 − w1, w2| .

Gautam Bharali The Pick–Nevanlinna problem

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9The deflation trick

A key conclusion from the last slide

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9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D!

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9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D! Write B := {φ : D → Bn | φ is holomorphic}.

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SLIDE 45

9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D! Write B := {φ : D → Bn | φ is holomorphic}. With z1, . . . , zM ∈ D and w1, . . . , wM ∈ Bn as given: ∃F ∈ B s.t. F interpolates {(z1, w1), . . . , (zM, wM)} ⇐ ⇒ ∃ F ∈ B

s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .
slide-46
SLIDE 46

9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D! Write B := {φ : D → Bn | φ is holomorphic}. With z1, . . . , zM ∈ D and w1, . . . , wM ∈ Bn as given: ∃F ∈ B s.t. F interpolates {(z1, w1), . . . , (zM, wM)} ⇐ ⇒ ∃ F ∈ B

s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

Furthermore:

∃ F ∈ B s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

⇐ ⇒

Gautam Bharali The Pick–Nevanlinna problem

slide-47
SLIDE 47

9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D! Write B := {φ : D → Bn | φ is holomorphic}. With z1, . . . , zM ∈ D and w1, . . . , wM ∈ Bn as given: ∃F ∈ B s.t. F interpolates {(z1, w1), . . . , (zM, wM)} ⇐ ⇒ ∃ F ∈ B

s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

Furthermore:

∃ F ∈ B s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

⇐ ⇒ ∃F • ∈ B s.t. F • interpolates

  • (ψzM (z1), ψzM (z1)−1ΨwM (w1)), . . . , (ψzM (zM−1), ψzM (zM−1)−1ΨwM (wM−1))
  • Gautam Bharali

The Pick–Nevanlinna problem

slide-48
SLIDE 48

9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D! Write B := {φ : D → Bn | φ is holomorphic}. With z1, . . . , zM ∈ D and w1, . . . , wM ∈ Bn as given: ∃F ∈ B s.t. F interpolates {(z1, w1), . . . , (zM, wM)} ⇐ ⇒ ∃ F ∈ B

s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

Furthermore:

∃ F ∈ B s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

⇐ ⇒ ∃F • ∈ B s.t. F • interpolates

  • (ψzM (z1), ψzM (z1)−1ΨwM (w1)), . . . , (ψzM (zM−1), ψzM (zM−1)−1ΨwM (wM−1))
  • Here, F • := z−1

F(z). Its holomorphicity would follow from Riemann’s RST if we can show that F •|D\{0} is bounded.

Gautam Bharali The Pick–Nevanlinna problem

slide-49
SLIDE 49

9The deflation trick

A key conclusion from the last slide φ : (D, 0) → (Bn, 0) holomorphic ⇒ φ(z) ≤ |z| ∀z ∈ D! Write B := {φ : D → Bn | φ is holomorphic}. With z1, . . . , zM ∈ D and w1, . . . , wM ∈ Bn as given: ∃F ∈ B s.t. F interpolates {(z1, w1), . . . , (zM, wM)} ⇐ ⇒ ∃ F ∈ B

s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

Furthermore:

∃ F ∈ B s.t. F interpolates

  • (ψzM (z1), ΨwM (w1)), . . . , (ψzM (zM−1), ΨwM (wM−1)), (0, 0)
  • .

⇐ ⇒ ∃F • ∈ B s.t. F • interpolates

  • (ψzM (z1), ψzM (z1)−1ΨwM (w1)), . . . , (ψzM (zM−1), ψzM (zM−1)−1ΨwM (wM−1))
  • Here, F • := z−1

F(z). Its holomorphicity would follow from Riemann’s RST if we can show that F •|D\{0} is bounded. By above inequality, F(z)/|z| ≤ 1 ∀z ∈ D\{0}, so F • ∈ B!

Gautam Bharali The Pick–Nevanlinna problem

slide-50
SLIDE 50

10The first step towards proving sufficiency of positivity

The deflation trick reduces our problem to that of characterising existence of a 2-point interpolant:

slide-51
SLIDE 51

10The first step towards proving sufficiency of positivity

The deflation trick reduces our problem to that of characterising existence of a 2-point interpolant:

∃ interpolant for {(z1, w1), . . . , (zM , wM )} ∃ interpolant for

  • (z(1)

1

, w(1)

1

), . . . , (z(1)

M−1, w(1) M−1)

  • .

. .

∃ interpolant for

  • (z(M−2)

1

, w(M−2)

1

), (z(M−2)

2

, w(M−2)

2

)

⇔ ⇔

slide-52
SLIDE 52

10The first step towards proving sufficiency of positivity

The deflation trick reduces our problem to that of characterising existence of a 2-point interpolant:

∃ interpolant for {(z1, w1), . . . , (zM , wM )} ∃ interpolant for

  • (z(1)

1

, w(1)

1

), . . . , (z(1)

M−1, w(1) M−1)

  • .

. .

∃ interpolant for

  • (z(M−2)

1

, w(M−2)

1

), (z(M−2)

2

, w(M−2)

2

)

⇔ ⇔

where z(0)

j

:= zj and w(0)

j

:= wj, 1 ≤ j ≤ M,

Gautam Bharali The Pick–Nevanlinna problem

slide-53
SLIDE 53

10The first step towards proving sufficiency of positivity

The deflation trick reduces our problem to that of characterising existence of a 2-point interpolant:

∃ interpolant for {(z1, w1), . . . , (zM , wM )} ∃ interpolant for

  • (z(1)

1

, w(1)

1

), . . . , (z(1)

M−1, w(1) M−1)

  • .

. .

∃ interpolant for

  • (z(M−2)

1

, w(M−2)

1

), (z(M−2)

2

, w(M−2)

2

)

⇔ ⇔

where z(0)

j

:= zj and w(0)

j

:= wj, 1 ≤ j ≤ M,

z(k+1)

j

:= ψz(k)

M−k

(z(k)

j

) and w(k+1)

j

:= ψ

z(k) M−k

(z(k)

j

)−1Ψw(k)

M−k

(w(k)

j

), 1 ≤ j ≤ M − k − 1.

Gautam Bharali The Pick–Nevanlinna problem

slide-54
SLIDE 54

11The link to a positive semi-definite matrix

Suppose {(a1, B1), (a2, B2)}, aj ∈ D, Bj ∈ Bn satisfy (•) KBn(B1, B2) ≤ KD(a1, a2).

Gautam Bharali The Pick–Nevanlinna problem

slide-55
SLIDE 55

11The link to a positive semi-definite matrix

Suppose {(a1, B1), (a2, B2)}, aj ∈ D, Bj ∈ Bn satisfy (•) KBn(B1, B2) ≤ KD(a1, a2). This is equivalent to β := ΨB2(B1) ≤ |ψa2(a1)| =: α.

Gautam Bharali The Pick–Nevanlinna problem

slide-56
SLIDE 56

11The link to a positive semi-definite matrix

Suppose {(a1, B1), (a2, B2)}, aj ∈ D, Bj ∈ Bn satisfy (•) KBn(B1, B2) ≤ KD(a1, a2). This is equivalent to β := ΨB2(B1) ≤ |ψa2(a1)| =: α. Pick a unitary matrix U and a θ ∈ R s.t. UΨB2(B1) = ΨB2(B1)ǫ1 and eiθψa2(a1) = |ψa2(a1)|.

Gautam Bharali The Pick–Nevanlinna problem

slide-57
SLIDE 57

11The link to a positive semi-definite matrix

Suppose {(a1, B1), (a2, B2)}, aj ∈ D, Bj ∈ Bn satisfy (•) KBn(B1, B2) ≤ KD(a1, a2). This is equivalent to β := ΨB2(B1) ≤ |ψa2(a1)| =: α. Pick a unitary matrix U and a θ ∈ R s.t. UΨB2(B1) = ΨB2(B1)ǫ1 and eiθψa2(a1) = |ψa2(a1)|. Clearly φ(z) := Ψ−1

B2

  • U−1β

α(eiθψa2(z))ǫ1

  • , z ∈ D

takes values in Bn and φ(aj) = Bj, 1 ≤ j ≤ 2!

Gautam Bharali The Pick–Nevanlinna problem

slide-58
SLIDE 58

11The link to a positive semi-definite matrix

Suppose {(a1, B1), (a2, B2)}, aj ∈ D, Bj ∈ Bn satisfy (•) KBn(B1, B2) ≤ KD(a1, a2). This is equivalent to β := ΨB2(B1) ≤ |ψa2(a1)| =: α. Pick a unitary matrix U and a θ ∈ R s.t. UΨB2(B1) = ΨB2(B1)ǫ1 and eiθψa2(a1) = |ψa2(a1)|. Clearly φ(z) := Ψ−1

B2

  • U−1β

α(eiθψa2(z))ǫ1

  • , z ∈ D

takes values in Bn and φ(aj) = Bj, 1 ≤ j ≤ 2! The condition (•) is equivalent to

  • a1 − a2

1 − a2a1

  • 2

− tanh

  • KBn(b1, b2)

2 ≥ 0, in which the L.H.S. just happens to be

Gautam Bharali The Pick–Nevanlinna problem

slide-59
SLIDE 59

11The link to a positive semi-definite matrix

Suppose {(a1, B1), (a2, B2)}, aj ∈ D, Bj ∈ Bn satisfy (•) KBn(B1, B2) ≤ KD(a1, a2). This is equivalent to β := ΨB2(B1) ≤ |ψa2(a1)| =: α. Pick a unitary matrix U and a θ ∈ R s.t. UΨB2(B1) = ΨB2(B1)ǫ1 and eiθψa2(a1) = |ψa2(a1)|. Clearly φ(z) := Ψ−1

B2

  • U−1β

α(eiθψa2(z))ǫ1

  • , z ∈ D

takes values in Bn and φ(aj) = Bj, 1 ≤ j ≤ 2! The condition (•) is equivalent to

  • a1 − a2

1 − a2a1

  • 2

− tanh

  • KBn(b1, b2)

2 ≥ 0, in which the L.H.S. just happens to be the determinant of 1 − bj, bk 1 − ajak 2

j,k=1

!

Gautam Bharali The Pick–Nevanlinna problem

slide-60
SLIDE 60

11The link to a positive semi-definite matrix

This fits into the last diagram as follows:

Gautam Bharali The Pick–Nevanlinna problem

slide-61
SLIDE 61

11The link to a positive semi-definite matrix

This fits into the last diagram as follows:

∃ interpolant for {(z1, w1), . . . , (zM , wM )} ∃ interpolant for

  • (z(1)

1

, w(1)

1

), . . . , (z(1)

M−1, w(1) M−1)

  • .

. .

 

1−w(M−2) j ,w(M−2) k

  • 1−z(M−2)

j z(M−2)k

 

2 j,k=1

is p.s.d ∃ interpolant for

  • (z(M−2)

1

, w(M−2)

1

), (z(M−2)

2

, w(M−2)

2

)

⇔ ⇓ ⇔

Gautam Bharali The Pick–Nevanlinna problem

slide-62
SLIDE 62

12Sufficiency of positivity

Establishing the sufficient cond’n. Let a1, . . . , aN be distinct points in D, and let b1, . . . , bN be points in Bn, N ≥ 3. Consider the two Hermitian forms:

H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N

  • j,k=1

1 − bj, bk 1 − ajak ξjξk

  • n CN,
  • H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N−1

  • j,k=1

1 − ψaN (aj)−1ΨbN (bj), ψaN (ak)−1ΨbN (bk) 1 − ψaN (aj)ψaN (ak) ξjξk

  • n CN−1.

Gautam Bharali The Pick–Nevanlinna problem

slide-63
SLIDE 63

12Sufficiency of positivity

Establishing the sufficient cond’n. Let a1, . . . , aN be distinct points in D, and let b1, . . . , bN be points in Bn, N ≥ 3. Consider the two Hermitian forms:

H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N

  • j,k=1

1 − bj, bk 1 − ajak ξjξk

  • n CN,
  • H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N−1

  • j,k=1

1 − ψaN (aj)−1ΨbN (bj), ψaN (ak)−1ΨbN (bk) 1 − ψaN (aj)ψaN (ak) ξjξk

  • n CN−1.

It would suffice to prove that H[ a1, . . . , aN; b1, . . . , bN] ≥ 0 ⇒ H[ a1, . . . , aN; b1, . . . , bN] ≥ 0 to establish our theorem.

Gautam Bharali The Pick–Nevanlinna problem

slide-64
SLIDE 64

12Sufficiency of positivity

Establishing the sufficient cond’n. Let a1, . . . , aN be distinct points in D, and let b1, . . . , bN be points in Bn, N ≥ 3. Consider the two Hermitian forms:

H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N

  • j,k=1

1 − bj, bk 1 − ajak ξjξk

  • n CN,
  • H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N−1

  • j,k=1

1 − ψaN (aj)−1ΨbN (bj), ψaN (ak)−1ΨbN (bk) 1 − ψaN (aj)ψaN (ak) ξjξk

  • n CN−1.

It would suffice to prove that H[ a1, . . . , aN; b1, . . . , bN] ≥ 0 ⇒ H[ a1, . . . , aN; b1, . . . , bN] ≥ 0 to establish our

  • theorem. We compute:

1 − a(1)

j

a(1)k 1 − ajak =

  • 1 − |aN|2

1 − aNaj

  • 1 − |aN|2

1 − aNak ≡ αjαk, 1 − b(1)

j

, b(1)

k

1 − bj, bk =

  • 1 − bN2

1 − bj, bN

  • 1 − bN2

1 − bN, bk ≡ βjβk.

Gautam Bharali The Pick–Nevanlinna problem

slide-65
SLIDE 65

12Sufficiency of positivity

Establishing the sufficient cond’n. Let a1, . . . , aN be distinct points in D, and let b1, . . . , bN be points in Bn, N ≥ 3. Consider the two Hermitian forms:

H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N

  • j,k=1

1 − bj, bk 1 − ajak ξjξk

  • n CN,
  • H[ a1, . . . , aN; b1, . . . , bN](ξ) :=

N−1

  • j,k=1

1 − ψaN (aj)−1ΨbN (bj), ψaN (ak)−1ΨbN (bk) 1 − ψaN (aj)ψaN (ak) ξjξk

  • n CN−1.

It would suffice to prove that H[ a1, . . . , aN; b1, . . . , bN] ≥ 0 ⇒ H[ a1, . . . , aN; b1, . . . , bN] ≥ 0 to establish our

  • theorem. We compute:

1 − a(1)

j

a(1)k 1 − ajak =

  • 1 − |aN|2

1 − aNaj

  • 1 − |aN|2

1 − aNak ≡ αjαk, 1 − b(1)

j

, b(1)

k

1 − bj, bk =

  • 1 − bN2

1 − bj, bN

  • 1 − bN2

1 − bN, bk ≡ βjβk.

This computation gives. . .

Gautam Bharali The Pick–Nevanlinna problem

slide-66
SLIDE 66

13Sufficiency of positivity, cont’d.

H[ a(1)

1 , . . . , a(1) N−1, 0; b(1) 1 , . . . , b(1) N−1, 0](ξ)

= H[ a1, . . . , aN; b1, . . . , bN]

  • Diag(β1/α1, . . . , βN/αN) ξ
  • Gautam Bharali

The Pick–Nevanlinna problem

slide-67
SLIDE 67

13Sufficiency of positivity, cont’d.

H[ a(1)

1 , . . . , a(1) N−1, 0; b(1) 1 , . . . , b(1) N−1, 0](ξ)

= H[ a1, . . . , aN; b1, . . . , bN]

  • Diag(β1/α1, . . . , βN/αN) ξ
  • Hence, the form on the L.H.S. is non-negative if H[ a1, . . . , aN; b1, . . . , bN] ≥ 0.

Gautam Bharali The Pick–Nevanlinna problem

slide-68
SLIDE 68

13Sufficiency of positivity, cont’d.

H[ a(1)

1 , . . . , a(1) N−1, 0; b(1) 1 , . . . , b(1) N−1, 0](ξ)

= H[ a1, . . . , aN; b1, . . . , bN]

  • Diag(β1/α1, . . . , βN/αN) ξ
  • Hence, the form on the L.H.S. is non-negative if H[ a1, . . . , aN; b1, . . . , bN] ≥ 0.

We now invoke the following: Result (Schur). Let K be a complex inner-product space with inner product (· | ·). Let c1, . . . , cN−1 ∈ D\{0} and set cN := 0. Let B1, . . . , BN−1 ∈ K with BjK < 1 and set BN := 0. If the quadratic form

Q(ξ) :=

N

  • j,k=1

1 −

  • Bj | Bk
  • 1 − cjck

ξjξk

  • n CN

is conditionally positive,

Gautam Bharali The Pick–Nevanlinna problem

slide-69
SLIDE 69

13Sufficiency of positivity, cont’d.

H[ a(1)

1 , . . . , a(1) N−1, 0; b(1) 1 , . . . , b(1) N−1, 0](ξ)

= H[ a1, . . . , aN; b1, . . . , bN]

  • Diag(β1/α1, . . . , βN/αN) ξ
  • Hence, the form on the L.H.S. is non-negative if H[ a1, . . . , aN; b1, . . . , bN] ≥ 0.

We now invoke the following: Result (Schur). Let K be a complex inner-product space with inner product (· | ·). Let c1, . . . , cN−1 ∈ D\{0} and set cN := 0. Let B1, . . . , BN−1 ∈ K with BjK < 1 and set BN := 0. If the quadratic form

Q(ξ) :=

N

  • j,k=1

1 −

  • Bj | Bk
  • 1 − cjck

ξjξk

  • n CN

is conditionally positive, then the quadratic form

  • Q(ξ) :=

N−1

  • j,k=1

1 −

  • c−1

j

Bj | c−1

k Bk

  • 1 − cjck

ξjξk

  • n CN−1

is positive semi-definite on CN−1.

Gautam Bharali The Pick–Nevanlinna problem

slide-70
SLIDE 70

13Sufficiency of positivity, cont’d.

H[ a(1)

1 , . . . , a(1) N−1, 0; b(1) 1 , . . . , b(1) N−1, 0](ξ)

= H[ a1, . . . , aN; b1, . . . , bN]

  • Diag(β1/α1, . . . , βN/αN) ξ
  • Hence, the form on the L.H.S. is non-negative if H[ a1, . . . , aN; b1, . . . , bN] ≥ 0.

We now invoke the following: Result (Schur). Let K be a complex inner-product space with inner product (· | ·). Let c1, . . . , cN−1 ∈ D\{0} and set cN := 0. Let B1, . . . , BN−1 ∈ K with BjK < 1 and set BN := 0. If the quadratic form

Q(ξ) :=

N

  • j,k=1

1 −

  • Bj | Bk
  • 1 − cjck

ξjξk

  • n CN

is conditionally positive, then the quadratic form

  • Q(ξ) :=

N−1

  • j,k=1

1 −

  • c−1

j

Bj | c−1

k Bk

  • 1 − cjck

ξjξk

  • n CN−1

is positive semi-definite on CN−1. Just set cj = a(1)

j

and Bj = b(1)

j , 1 ≤ j ≤ N, and we’re done!

  • Gautam Bharali

The Pick–Nevanlinna problem