Equilibrium and Balayage A mini-tutorial A. Martnez-Finkelshtein - - PowerPoint PPT Presentation

equilibrium and balayage
SMART_READER_LITE
LIVE PREVIEW

Equilibrium and Balayage A mini-tutorial A. Martnez-Finkelshtein - - PowerPoint PPT Presentation

Equilibrium and Balayage A mini-tutorial A. Martnez-Finkelshtein (U. Almera) Optimal point configurations and orthogonal polynomials CIEM Castro Urdiales April 19, 2017 Equilibrium and Balayage A mini-tutorial A.


slide-1
SLIDE 1
  • A. Martínez-Finkelshtein (U. Almería)

“Optimal point configurations and orthogonal polynomials” CIEM Castro Urdiales April 19, 2017

Equilibrium and Balayage

A mini-tutorial

slide-2
SLIDE 2
  • A. Martínez-Finkelshtein (U. Almería)

“Optimal point configurations and orthogonal polynomials” CIEM Castro Urdiales April 19, 2017

Equilibrium and Balayage

A mini-tutorial

slide-3
SLIDE 3

LOGARITHMIC POTENTIAL AND LOGARITHMIC ENERGY

slide-4
SLIDE 4

POTENTIAL THEORY AND POLYNOMIALS

slide-5
SLIDE 5

LOGARITHMIC POTENTIALS

slide-6
SLIDE 6

LOGARITHMIC POTENTIALS

  • 2
  • 1.5
  • 1
  • 0.5
0.5 1 1.5 2
  • 0.8
  • 0.6
  • 0.4
  • 0.2
0.2 0.4 0.6 0.8 1 Example 1 Example 2
slide-7
SLIDE 7

LOGARITHMIC POTENTIALS

V µ(z) =        −|z|2 2 + 1 2, |z| ≤ 1, log 1 |z|, |z| > 1.

slide-8
SLIDE 8

LOGARITHMIC ENERGY

slide-9
SLIDE 9

EQUILIBRIUM

slide-10
SLIDE 10

CLASSICAL EQUILIBRIUM

For K ⊂ C compact, the Robin constant is κ = min {I(µ) : µ unit measure on K}

  • 2
  • 1.5
  • 1
  • 0.5
0.5 1 1.5 2
  • 0.8
  • 0.6
  • 0.4
  • 0.2
0.2 0.4 0.6 0.8 1 Example 1 Example 2

Example 1: dµ(x) =

dx π √ 1−x2 on [−1, 1]

Example 2: dµ(x) = 1

2dx on [−1, 1]

slide-11
SLIDE 11

CLASSICAL EQUILIBRIUM

For K ⊂ C compact, the Robin constant is κ = min {I(µ) : µ unit measure on K}

  • 2
  • 1.5
  • 1
  • 0.5
0.5 1 1.5 2
  • 0.8
  • 0.6
  • 0.4
  • 0.2
0.2 0.4 0.6 0.8 1 Example 1 Example 2

Example 1: dµ(x) =

dx π √ 1−x2 on [−1, 1]

Example 2: dµ(x) = 1

2dx on [−1, 1]

Classical application: asymptotic distribution

  • f zeros of standard orthogonal polynomials
slide-12
SLIDE 12

WEIGHTED EQUILIBRIUM

IQ(µ) := kµk2 + 2 Z Q dµ = I(µ) + 2 Z Q dµ weighted logarithmic energy For K ⊂ C compact and Q and admissible external field, κQ = min {IQ(µ) : µ unit measure on K} The unique minimizer, λQ, such that IQ(λQ) = κQ, is the weighted equilibrium measure on K. New feature: we ignore a priori what is supp(λQ)! Characterization: V λQ + Q ≥ cQ q.e. on K, ≤ cQ

  • n supp(λQ)

(so, basically, V λQ + Q = cQ q.e. on supp(λQ)).

Density Potential

slide-13
SLIDE 13

WEIGHTED EQUILIBRIUM

IQ(µ) := kµk2 + 2 Z Q dµ = I(µ) + 2 Z Q dµ weighted logarithmic energy For K ⊂ C compact and Q and admissible external field, κQ = min {IQ(µ) : µ unit measure on K} The unique minimizer, λQ, such that IQ(λQ) = κQ, is the weighted equilibrium measure on K. New feature: we ignore a priori what is supp(λQ)! Characterization: V λQ + Q ≥ cQ q.e. on K, ≤ cQ

  • n supp(λQ)

(so, basically, V λQ + Q = cQ q.e. on supp(λQ)).

Density Potential

Classical application: asymptotic distribution

  • f zeros of polynomials of varying orthogonality
slide-14
SLIDE 14

CONSTRAINED WEIGHTED EQUILIBRIUM

IQ(µ) := kµk2 + 2 Z Q dµ = I(µ) + 2 Z Q dµ weighted logarithmic energy For K ⊂ C compact, Q an admissible external field, and τ a measure with finite energy, supp(τ) = K, and τ(K) > 1, κτ

Q = min {IQ(µ) : µ unit measure on K with µ ≤ τ}

Again, the unique minimizer, λτ

Q, with IQ(λτ Q) = κτ Q, is the con-

strained equilibrium measure on K. Characterization: V λτ

Q + Q ≥ cτ

Q

q.e. on supp(τ − λτ

Q),

≤ cQ

  • n supp(λτ

Q)

Density Potential Constraint

New feature:

Void Band Saturated region

slide-15
SLIDE 15

CONSTRAINED WEIGHTED EQUILIBRIUM

IQ(µ) := kµk2 + 2 Z Q dµ = I(µ) + 2 Z Q dµ weighted logarithmic energy For K ⊂ C compact, Q an admissible external field, and τ a measure with finite energy, supp(τ) = K, and τ(K) > 1, κτ

Q = min {IQ(µ) : µ unit measure on K with µ ≤ τ}

Again, the unique minimizer, λτ

Q, with IQ(λτ Q) = κτ Q, is the con-

strained equilibrium measure on K. Characterization: V λτ

Q + Q ≥ cτ

Q

q.e. on supp(τ − λτ

Q),

≤ cQ

  • n supp(λτ

Q)

Density Potential Constraint

New feature:

Void Band Saturated region

Classical application: asymptotic distribution

  • f zeros of polynomials of discrete orthogonality
slide-16
SLIDE 16

BALAYAGE

slide-17
SLIDE 17

MINIMAL ENERGY PARADIGM

slide-18
SLIDE 18

(

“standard” definition

  • f balayage

In particular, supp(ν) ⊂ ∂D and V µ(z) = V ν(z) q.e. in Dc := C \ D Since for reasonable ε and σ 2 M, kµ νk  kµ (1 ε)ν εσk, we get Z (V µ − V ν) d(ν − σ) ≥ 0, for all σ ∈ M

CLASSICAL BALAYAGE

µ ν

slide-19
SLIDE 19

CLASSICAL BALAYAGE

Recall: Hence, the unit Lebesgue measure on |z| = 1 is the balayage of the unit plane Lebesgue measure on |z| ≤ 1

V µ(z) =        −|z|2 2 + 1 2, |z| ≤ 1, log 1 |z|, |z| > 1.

slide-20
SLIDE 20

CLASSICAL BALAYAGE

µ ν Observations:

  • If D is unbounded, we get instead

V µ(z) = V ν(z) + c q.e. in Dc

  • Since V ν − V µ is subharmonic in D,

V ν(z) ≤ V µ(z), z ∈ C (“balayage decreases the potential”).

  • Extension: if supp(µ) 6⇢ D, we we may take µ = µout + µin,

with µout = µ

  • Dc, and define

ν = Bal(µ, Dc) := µout + Bal(µin, Dc)

  • Further extension: if µ is a signed measures, and µ = µ+ − µ−

is its Jordan decomposition, then Bal(µ, K) := Bal(µ+, K) − Bal(µ−, K)

  • ωa = Bal(δa, ∂D) is the harmonic measure of ∂D

w.r.t. a.

slide-21
SLIDE 21

PARTIAL BALAYAGE

Let µ be a positive measure, and τ a given measure on C such that µ(C) ≤ µ(τ). Take M := {ν : ν ≤ τ and ν(C) = µ(C)} is the partial balayage of µ under τ, denoted by ν = Bal(µ, τ) Moreover, min(µ, τ) ≤ Bal(µ, τ) ≤ τ A variational argument as before shows that

  • ν ≤ τ
  • V ν ≤ V µ on

C

  • V ν = V µ on supp(τ − ν)
slide-22
SLIDE 22

PARTIAL BALAYAGE

Notice: here Bal(µ, τ) either = τ or = 0 (saturation). Example 1: a 2D case. Let µ = βδa (β > 0), and τ = α mes2 on a sufficiently large disk |z| ≤ R. If R ≥ |a| + p β/(πα), then Bal ⇣ βδa, α mes2

  • |z|≤R

⌘ = α mes2

  • |z−a|≤r,

with r = p β/(πα).

µ

Bal(µ, τ) τ

slide-23
SLIDE 23

PARTIAL BALAYAGE

Notice: here Bal(µ, τ) either = τ or = 0 (saturation). Example 1: a 2D case. Let µ = βδa (β > 0), and τ = α mes2 on a sufficiently large disk |z| ≤ R. If R ≥ |a| + p β/(πα), then

  • 1
  • 0.8
  • 0.6
  • 0.4
  • 0.2
0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 1.2 1.4 Robin measure on [-1,1] Its constrained balayage under =dx

Bal ⇣ βδa, α mes2

  • |z|≤R

⌘ = α mes2

  • |z−a|≤r,

with r = p β/(πα).

slide-24
SLIDE 24

PARTIAL BALAYAGE

Example 2: a generalization. Let µ = Pn

k=1 ckδak, ck > 0, and

τ = mes2 on C. Then Bal (µ, τ) = τ

  • S

with ∂S being an algebraic curve. Moreover, Z

S

dmes2(t) t − z =

n

X

k=1

ck ak − z (S is a quadrature domain). Example 3: a Hele-Shaw flow. Given a domain S0 3 a, let µt = tδa + mes2

  • S0, and τ = mes2 on C. Then

Bal (µt, τ) = τ

  • St,

t > 0 In particular, Z

St

zk dmes2(z) = Z

S0

zk dmes2(z), k ∈ N, Z

St

dmes2(z) = t + Z

S0

dmes2(z) S0

slide-25
SLIDE 25

CONNECTIONS BETWEEN BALAYAGE AND EQUILIBRIUM

slide-26
SLIDE 26

Energy minimization

Equilibrium Balayage

Constrained Weighted Classical Partial

slide-27
SLIDE 27

CONSTRAINED & WEIGHTED EQUILIBRIUM

V λQ + Q ≥ cQ q.e. on K, ≤ cQ

  • n supp(λQ)

Density Potential

V λτ

Q + Q ≥ cτ

Q

q.e. on supp(τ − λτ

Q),

≤ cQ

  • n supp(λτ

Q)

Density Potential Constraint

Void Band Saturated region

slide-28
SLIDE 28

BALAYAGE & EQUILIBRIUM

µ ν

slide-29
SLIDE 29

BALAYAGE & EQUILIBRIUM

  • 1
  • 0.8
  • 0.6
  • 0.4
  • 0.2
0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 1.2 1.4 Robin measure on [-1,1] Its constrained balayage under =dx
slide-30
SLIDE 30

BALAYAGE & EQUILIBRIUM

slide-31
SLIDE 31

BALAYAGE & EQUILIBRIUM

Example: consider the weighted equilibrium on C in the external field Q(z) = α|z|2 + β log 1 |z − a|, α, β > 0. Recall:

V µ(z) =        −|z|2 2 + 1 2, |z| ≤ 1, log 1 |z|, |z| > 1.

slide-32
SLIDE 32

BALAYAGE & EQUILIBRIUM

Example: consider the weighted equilibrium on C in the external field Q(z) = α|z|2 + β log 1 |z − a|, α, β > 0. Hence, we can replace Q by V σ, with σ = −2α π mes2

  • |z|≤R + βδa,

R = r β + 1 2α Thus, σ+ = βδa, σ− = 2α π mes2

  • |z|≤R

Recall again:

τ

Bal (σ+, σ−) = 2α π mes2

  • |z−a|≤r,

r = r β 2α,

slide-33
SLIDE 33

BALAYAGE & EQUILIBRIUM

Example: consider the weighted equilibrium on C in the external field Q(z) = α|z|2 + β log 1 |z − a|, α, β > 0. Hence, we can replace Q by V σ, with σ = −2α π mes2

  • |z|≤R + βδa,

R = r β + 1 2α Thus, σ+ = βδa, σ− = 2α π mes2

  • |z|≤R

We conclude: if |a| ≤ q

β+1 2α −

q

β 2α,

λQ = 2α π mes2

  • |z|≤R − 2α

π mes2

  • |z−a|≤r

a

slide-34
SLIDE 34

Thank you