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(1)

. . . . . .

.

. . . .

.

.

Renormalization of r

-potentials and its

applications

Jun O’Hara (Tokyo Metropolitan University)

06/2011

Centro di Ricerca Matematica, Ennio De Giorgi, Pisa

(2)

. . . . . .

.. Motivations

Problem(PISA) : Let Ω be a triangular park. Where should we put a street light?

PISA’answer : the circumcenter (the point that makes the darkest place brightest if Ω is not obtuse).

Shibata(Fukuoka)’s answer : a point that maximizes the

“total brightness” .Definition

. .

... .

.

.

A point is an illuminating center of Ω if it maximizes Ω∋ x 7→

dy

|x − y|2

integrated after the divergence of the integrand is cut-off

(3)

. . . . . .

.. Motivations

Problem(PISA) : Let Ω be a triangular park. Where should we put a street light?

PISA’answer : the circumcenter (the point that makes the darkest place brightest if Ω is not obtuse).

Shibata(Fukuoka)’s answer : a point that maximizes the

“total brightness” .Definition

. .

... .

.

.

A point is an illuminating center of Ω if it maximizes Ω∋ x 7→

dy

|x − y|2

integrated after the divergence of the integrand is cut-off

(4)

. . . . . .

.. Motivations

Problem(PISA) : Let Ω be a triangular park. Where should we put a street light?

PISA’answer : the circumcenter (the point that makes the darkest place brightest if Ω is not obtuse).

Shibata(Fukuoka)’s answer : a point that maximizes the

“total brightness” .Definition

. .

... .

.

.

A point is an illuminating center of Ω if it maximizes Ω∋ x 7→

dy

|x − y|2

integrated after the divergence of the integrand is cut-off

(5)

. . . . . .

.. Motivations

Problem(PISA) : Let Ω be a triangular park. Where should we put a street light?

PISA’answer : the circumcenter (the point that makes the darkest place brightest if Ω is not obtuse).

Shibata(Fukuoka)’s answer : a point that maximizes the

“total brightness” .Definition

. .

... .

.

.

A point is an illuminating center of Ω if it maximizes Ω∋ x 7→

dy

|x − y|2

integrated after the divergence of the integrand is cut-off

(6)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(7)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(8)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(9)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(10)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(11)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(12)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(13)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(14)

. . . . . .

.. Outline of the first half

The renormalization used to make a family of energy functionals of knots (O ’92)

⇝ 1-parameter family of renormalized potentials

⇝ 1-parameter family of points that maximizes (or minimizes) the potentials (“generalized centers”)

One limit→ a min-max point (e.g. circumcenter of a non-obtuse triangle)

This family∋the center of mass This family∋the illuminating center

The other limit → a max-min point (e.g. incenter of a triangle) Generalization of “dual volume” in convex geometry

Uniqueness of the “centers”

(15)

. . . . . .

.. Definitions

Rm ⊃ Ω (m ≥ 2) : compact, ∂Ω : piecewise C1 .Definition

. .

... .

.

.

If α > 0 or w ̸∈ Ω

V(α)(w) :=

|w − z|α−mdz It is called the Riesz potential when 0 < α < m If α ≤ 0 and w ∈ Ω

V(α)(w) := lim

ε→0

(

Ω\Bε(w)

|w − z|α−mdz+A(S

m−1

)

α ε

α

) , where A(Sm−1) is the volume of the unit sphere Sm−1 Put α1rα= log r (r > 0) if α = 0 in the formulae (although log r = lima→01a(ra− 1) in fact) When m = 2 and α = −2, Auckly-Sadun.

(16)

. . . . . .

.. Definitions

Rm ⊃ Ω (m ≥ 2) : compact, ∂Ω : piecewise C1 .Definition

. .

... .

.

.

If α > 0 or w ̸∈ Ω

V(α)(w) :=

|w − z|α−mdz It is called the Riesz potential when 0 < α < m If α ≤ 0 and w ∈ Ω

V(α)(w) := lim

ε→0

(

Ω\Bε(w)

|w − z|α−mdz+A(S

m−1

)

α ε

α

) , where A(Sm−1) is the volume of the unit sphere Sm−1 Put α1rα= log r (r > 0) if α = 0 in the formulae (although log r = lima→01a(ra− 1) in fact) When m = 2 and α = −2, Auckly-Sadun.

(17)

. . . . . .

.. Definitions

Rm ⊃ Ω (m ≥ 2) : compact, ∂Ω : piecewise C1 .Definition

. .

... .

.

.

If α > 0 or w ̸∈ Ω

V(α)(w) :=

|w − z|α−mdz It is called the Riesz potential when 0 < α < m If α ≤ 0 and w ∈ Ω

V(α)(w) := lim

ε→0

(

Ω\Bε(w)

|w − z|α−mdz+A(S

m−1

)

α ε

α

) , where A(Sm−1) is the volume of the unit sphere Sm−1 Put α1rα= log r (r > 0) if α = 0 in the formulae (although log r = lima→01a(ra− 1) in fact) When m = 2 and α = −2, Auckly-Sadun.

(18)

. . . . . .

.. Definitions

Rm ⊃ Ω (m ≥ 2) : compact, ∂Ω : piecewise C1 .Definition

. .

... .

.

.

If α > 0 or w ̸∈ Ω

V(α)(w) :=

|w − z|α−mdz It is called the Riesz potential when 0 < α < m If α ≤ 0 and w ∈ Ω

V(α)(w) := lim

ε→0

(

Ω\Bε(w)

|w − z|α−mdz+A(S

m−1

)

α ε

α

) , where A(Sm−1) is the volume of the unit sphere Sm−1 Put α1rα= log r (r > 0) if α = 0 in the formulae (although log r = lima→01a(ra− 1) in fact) When m = 2 and α = −2, Auckly-Sadun.

(19)

. . . . . .

.. Definitions

Rm ⊃ Ω (m ≥ 2) : compact, ∂Ω : piecewise C1 .Definition

. .

... .

.

.

If α > 0 or w ̸∈ Ω

V(α)(w) :=

|w − z|α−mdz It is called the Riesz potential when 0 < α < m If α ≤ 0 and w ∈ Ω

V(α)(w) := lim

ε→0

(

Ω\Bε(w)

|w − z|α−mdz+A(S

m−1

)

α ε

α

) , where A(Sm−1) is the volume of the unit sphere Sm−1 Put α1rα= log r (r > 0) if α = 0 in the formulae (although log r = lima→01a(ra− 1) in fact) When m = 2 and α = −2, Auckly-Sadun.

(20)

. . . . . .

.. Definitions

Rm ⊃ Ω (m ≥ 2) : compact, ∂Ω : piecewise C1 .Definition

. .

... .

.

.

If α > 0 or w ̸∈ Ω

V(α)(w) :=

|w − z|α−mdz It is called the Riesz potential when 0 < α < m If α ≤ 0 and w ∈ Ω

V(α)(w) := lim

ε→0

(

Ω\Bε(w)

|w − z|α−mdz+A(S

m−1

)

α ε

α

) , where A(Sm−1) is the volume of the unit sphere Sm−1 Put α1rα= log r (r > 0) if α = 0 in the formulae (although log r = lima→01a(ra− 1) in fact) When m = 2 and α = −2, Auckly-Sadun.

(21)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0

Proof:

Rm\Bε(w)

|w − z|α−mdz= −A(S

m−1)

α · ε

α

V(α)(w)

= lim

ε→0

(∫

Ω\Bε(w)

|w − z|α−mdz−

Rm\Bε(w)

|w − z|α−mdz )

= −

c

|w − z|α−mdz .

(22)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0

Proof:

Rm\Bε(w)

|w − z|α−mdz= −A(S

m−1)

α · ε

α

V(α)(w)

= lim

ε→0

(∫

Ω\Bε(w)

|w − z|α−mdz−

Rm\Bε(w)

|w − z|α−mdz )

= −

c

|w − z|α−mdz .

(23)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0

Proof:

Rm\Bε(w)

|w − z|α−mdz= −A(S

m−1)

α · ε

α

V(α)(w)

= lim

ε→0

(∫

Ω\Bε(w)

|w − z|α−mdz−

Rm\Bε(w)

|w − z|α−mdz )

= −

c

|w − z|α−mdz .

(24)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0 .Proposition

. .

... .

.

.

Ω: conex, w∈Ω ⇒ V (α)(w) = 1 α

Sm−1

(ρ(v))α dσ(v), where ρ : Sm−1 ∋ v 7→ sup{c > 0 | w + cv ∈ Ω} ∈ R+.

ρ is called the radial function.

Sm−1(ρ(v))

α dσ(v) is called the dual volume of order α (Lutwak 75,88).

A similar formula holds for general regions (after we divide Ω into convex parts)

(25)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0 .Proposition

. .

... .

.

.

Ω: conex, w∈Ω ⇒ V (α)(w) = 1 α

Sm−1

(ρ(v))α dσ(v), where ρ : Sm−1 ∋ v 7→ sup{c > 0 | w + cv ∈ Ω} ∈ R+.

ρ is called the radial function.

Sm−1(ρ(v))

α dσ(v) is called the dual volume of order α (Lutwak 75,88).

A similar formula holds for general regions (after we divide Ω into convex parts)

(26)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0 .Proposition

. .

... .

.

.

Ω: conex, w∈Ω ⇒ V (α)(w) = 1 α

Sm−1

(ρ(v))α dσ(v), where ρ : Sm−1 ∋ v 7→ sup{c > 0 | w + cv ∈ Ω} ∈ R+.

ρ is called the radial function.

Sm−1(ρ(v))

α dσ(v) is called the dual volume of order α (Lutwak 75,88).

A similar formula holds for general regions (after we divide Ω into convex parts)

(27)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0 .Proposition

. .

... .

.

.

Ω: conex, w∈Ω ⇒ V (α)(w) = 1 α

Sm−1

(ρ(v))α dσ(v), where ρ : Sm−1 ∋ v 7→ sup{c > 0 | w + cv ∈ Ω} ∈ R+.

ρ is called the radial function.

Sm−1(ρ(v))

α dσ(v) is called the dual volume of order α (Lutwak 75,88).

A similar formula holds for general regions (after we divide Ω into convex parts)

(28)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0 .Proposition

. .

... .

.

.

α≤ 0 ⇒

{

Ω∋ w → ∂Ω ⇒ V(α)(w) → −∞c ∋ w → ∂Ω ⇒ V(α)(w) → +∞

(29)

. . . . . .

.. Properties

.Proposition .

.

... .

.

.

α <0, w ∈Ω ⇒ V (α)(w) = −

c

|w − z|α−mdz <0 .Proposition

. .

... .

.

.

α≤ 0 ⇒

{

Ω∋ w → ∂Ω ⇒ V(α)(w) → −∞c ∋ w → ∂Ω ⇒ V(α)(w) → +∞

(30)

. . . . . .

.. r

-centers

.Definition .

.

... .

.

.

An rα−m-centerof Ω is a point that attains the extreme value of V(α), to be precise, a point that

minimizes V(α) if α > m, maximizes V(α) if 0 < α < m, maximizes

− log |w − z|dz if α = m, maximizes V(α)

if α ≤ 0.

Remark that V(m)(w) ≡ Vol(Ω) when α = m

(31)

. . . . . .

.. r

-centers

.Definition .

.

... .

.

.

An rα−m-centerof Ω is a point that attains the extreme value of V(α), to be precise, a point that

minimizes V(α) if α > m, maximizes V(α) if 0 < α < m, maximizes

− log |w − z|dz if α = m, maximizes V(α)

if α ≤ 0.

Remark that V(m)(w) ≡ Vol(Ω) when α = m

(32)

. . . . . .

.. r

-centers

.Definition .

.

... .

.

.

An rα−m-centerof Ω is a point that attains the extreme value of V(α), to be precise, a point that

minimizes V(α) if α > m, maximizes V(α) if 0 < α < m, maximizes

− log |w − z|dz if α = m, maximizes V(α)

if α ≤ 0.

Remark that V(m)(w) ≡ Vol(Ω) when α = m

(33)

. . . . . .

.. r

-centers

.Definition .

.

... .

.

.

An rα−m-centerof Ω is a point that attains the extreme value of V(α), to be precise, a point that

minimizes V(α) if α > m, maximizes V(α) if 0 < α < m, maximizes

− log |w − z|dz if α = m, maximizes V(α)

if α ≤ 0.

Remark that V(m)(w) ≡ Vol(Ω) when α = m

(34)

. . . . . .

.. r

-centers

.Definition .

.

... .

.

.

An rα−m-centerof Ω is a point that attains the extreme value of V(α), to be precise, a point that

minimizes V(α) if α > m, maximizes V(α) if 0 < α < m, maximizes

− log |w − z|dz if α = m, maximizes V(α)

if α ≤ 0.

Remark that V(m)(w) ≡ Vol(Ω) when α = m

(35)

. . . . . .

.. Examples

The center of mass wG of Ω is given by wG =

zdz

1dz

.

(wG− z) dz = 0.

⇔ wG is a unique critical point of

|w − z|2dz . It is a unique r2-center (α = m + 2)

The illuminating center of a planar domain (Shibata) is an r−2-center (m = 2, α = 0).

When m = 3, an r−1-center (α = 2) is

a “gravitational center” or a “point with highest voltage” (Herbur-Moszy´nska-Peradz´ynski)

(36)

. . . . . .

.. Examples

The center of mass wG of Ω is given by wG =

zdz

1dz

.

(wG− z) dz = 0.

⇔ wG is a unique critical point of

|w − z|2dz . It is a unique r2-center (α = m + 2)

The illuminating center of a planar domain (Shibata) is an r−2-center (m = 2, α = 0).

When m = 3, an r−1-center (α = 2) is

a “gravitational center” or a “point with highest voltage” (Herbur-Moszy´nska-Peradz´ynski)

(37)

. . . . . .

.. Examples

The center of mass wG of Ω is given by wG =

zdz

1dz

.

(wG− z) dz = 0.

⇔ wG is a unique critical point of

|w − z|2dz . It is a unique r2-center (α = m + 2)

The illuminating center of a planar domain (Shibata) is an r−2-center (m = 2, α = 0).

When m = 3, an r−1-center (α = 2) is

a “gravitational center” or a “point with highest voltage” (Herbur-Moszy´nska-Peradz´ynski)

(38)

. . . . . .

.. Examples

The center of mass wG of Ω is given by wG =

zdz

1dz

.

(wG− z) dz = 0.

⇔ wG is a unique critical point of

|w − z|2dz . It is a unique r2-center (α = m + 2)

The illuminating center of a planar domain (Shibata) is an r−2-center (m = 2, α = 0).

When m = 3, an r−1-center (α = 2) is

a “gravitational center” or a “point with highest voltage” (Herbur-Moszy´nska-Peradz´ynski)

(39)

. . . . . .

.. Examples

The center of mass wG of Ω is given by wG =

zdz

1dz

.

(wG− z) dz = 0.

⇔ wG is a unique critical point of

|w − z|2dz . It is a unique r2-center (α = m + 2)

The illuminating center of a planar domain (Shibata) is an r−2-center (m = 2, α = 0).

When m = 3, an r−1-center (α = 2) is

a “gravitational center” or a “point with highest voltage” (Herbur-Moszy´nska-Peradz´ynski)

(40)

. . . . . .

.. Examples

The center of mass wG of Ω is given by wG =

zdz

1dz

.

(wG− z) dz = 0.

⇔ wG is a unique critical point of

|w − z|2dz . It is a unique r2-center (α = m + 2)

The illuminating center of a planar domain (Shibata) is an r−2-center (m = 2, α = 0).

When m = 3, an r−1-center (α = 2) is

a “gravitational center” or a “point with highest voltage” (Herbur-Moszy´nska-Peradz´ynski)

(41)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(42)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(43)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(44)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(45)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(46)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(47)

. . . . . .

.. Existence and uniqueness of r

α−m

-centers

.Theorem .

.

... .

. .Any compact region has an rα−m-center for any α.

ra-center is not necessarily unique. .Example

. .

... .

.

.

Ω = [−R, −1] ∪ [1, R] ⊂ R.

An ra-center (a > 1) is the origin. {r1-center} = [−1, 1].

∃ two ra-centers (a < 1, a ̸= 0) in (−R, −1) and (1, R).

(48)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(49)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(50)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(51)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(52)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(53)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(54)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(55)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(56)

. . . . . .

.. Uniqueness of r

α−m

-centers

.Theorem .

.

... .

.

.

A compact region Ω has a unique rα−m-center if either α≥ m + 1,

α≤ 1 and Ω is convex. .Proof.

. .

... .

.

.

2V(α)

∂xj2 >0 on R

m if α ≥ m + 1

2V(α)

∂xj2 <0 on

Ω if α ≤ 1 and Ω is convex

.Conjecture .

.

... .

. .A convex region has a uniqe rα−m-center for any α.

(57)

. . . . . .

.. An r

α−2

-center of a triangle

An rα−2-center of a triangle ∆ is a point x that gives min

x∈R2maxy∈Ω|x − y| (α → +∞). It is the circumcenter if ∆ is not obtuse

the barycenter = r2-center (α = 4)

the illuminating center = rα−2-center (α = 0) the incenter = a point x that gives max

x∈R2ymin∈Ωc|x − y|

(α → −∞)

In general, a min-max point is uniquely determined, but a max-min point is not. The latter is contained in the so-called medial axis.

(58)

. . . . . .

.. An r

α−2

-center of a triangle

An rα−2-center of a triangle ∆ is a point x that gives min

x∈R2maxy∈Ω|x − y| (α → +∞). It is the circumcenter if ∆ is not obtuse

the barycenter = r2-center (α = 4)

the illuminating center = rα−2-center (α = 0) the incenter = a point x that gives max

x∈R2ymin∈Ωc|x − y|

(α → −∞)

In general, a min-max point is uniquely determined, but a max-min point is not. The latter is contained in the so-called medial axis.

(59)

. . . . . .

.. An r

α−2

-center of a triangle

An rα−2-center of a triangle ∆ is a point x that gives min

x∈R2maxy∈Ω|x − y| (α → +∞). It is the circumcenter if ∆ is not obtuse

the barycenter = r2-center (α = 4)

the illuminating center = rα−2-center (α = 0) the incenter = a point x that gives max

x∈R2ymin∈Ωc|x − y|

(α → −∞)

In general, a min-max point is uniquely determined, but a max-min point is not. The latter is contained in the so-called medial axis.

(60)

. . . . . .

.. An r

α−2

-center of a triangle

An rα−2-center of a triangle ∆ is a point x that gives min

x∈R2maxy∈Ω|x − y| (α → +∞). It is the circumcenter if ∆ is not obtuse

the barycenter = r2-center (α = 4)

the illuminating center = rα−2-center (α = 0) the incenter = a point x that gives max

x∈R2ymin∈Ωc|x − y|

(α → −∞)

In general, a min-max point is uniquely determined, but a max-min point is not. The latter is contained in the so-called medial axis.

(61)

. . . . . .

.. An r

α−2

-center of a triangle

An rα−2-center of a triangle ∆ is a point x that gives min

x∈R2maxy∈Ω|x − y| (α → +∞). It is the circumcenter if ∆ is not obtuse

the barycenter = r2-center (α = 4)

the illuminating center = rα−2-center (α = 0) the incenter = a point x that gives max

x∈R2ymin∈Ωc|x − y|

(α → −∞)

In general, a min-max point is uniquely determined, but a max-min point is not. The latter is contained in the so-called medial axis.

(62)

. . . . . .

.. An r

α−2

-center of a triangle

An rα−2-center of a triangle ∆ is a point x that gives min

x∈R2maxy∈Ω|x − y| (α → +∞). It is the circumcenter if ∆ is not obtuse

the barycenter = r2-center (α = 4)

the illuminating center = rα−2-center (α = 0) the incenter = a point x that gives max

x∈R2ymin∈Ωc|x − y|

(α → −∞)

In general, a min-max point is uniquely determined, but a max-min point is not. The latter is contained in the so-called medial axis.

(63)

. . . . . .

.. Boundary integral expression and Laplacians

.Theorem .

.

... .

.

.

If w ̸∈ ∂Ω then for any α V(α)(w) = 1

α

∂Ω

|w − z|α−m(z − w) · n dσ(z)

We can compute the derivatives of V(α) .Proposition

. .

... .

.

.

α >2 or (α ̸= 2 and w ̸∈ ∂Ω) ⇒

∆V(α)(w) = (α − 2)(α − m)V(α−2)(w)

(64)

. . . . . .

.. Boundary integral expression and Laplacians

.Theorem .

.

... .

.

.

If w ̸∈ ∂Ω then for any α V(α)(w) = 1

α

∂Ω

|w − z|α−m(z − w) · n dσ(z)

We can compute the derivatives of V(α) .Proposition

. .

... .

.

.

α >2 or (α ̸= 2 and w ̸∈ ∂Ω) ⇒

∆V(α)(w) = (α − 2)(α − m)V(α−2)(w)

(65)

. . . . . .

.. Boundary integral expression and Laplacians

.Theorem .

.

... .

.

.

If w ̸∈ ∂Ω then for any α V(α)(w) = 1

α

∂Ω

|w − z|α−m(z − w) · n dσ(z)

We can compute the derivatives of V(α) .Proposition

. .

... .

.

.

α >2 or (α ̸= 2 and w ̸∈ ∂Ω) ⇒

∆V(α)(w) = (α − 2)(α − m)V(α−2)(w)

(66)

. . . . . .

.. Boundary integral expression and Laplacians

.Theorem .

.

... .

.

.

If w ̸∈ ∂Ω then for any α V(α)(w) = 1

α

∂Ω

|w − z|α−m(z − w) · n dσ(z)

We can compute the derivatives of V(α) .Proposition

. .

... .

.

.

α >2 or (α ̸= 2 and w ̸∈ ∂Ω) ⇒

∆V(α)(w) = (α − 2)(α − m)V(α−2)(w)

(67)

. . . . . .

.. Minimal unfolded region

.Definition .

.

... .

.

.

Mv := sup

x∈Ω

x· v (v ∈ Sm−1),

+v,b:= Ω ∩ {x ∈ Rm| x · v > b} (b ∈ R), Reflv,b:= a reflection in {x ∈ Rm| x · v = b}.

lv := inf{a | a ≤ Mv,Reflv,b(Ω+v,b) ⊂ Ω (a ≤ ∀b ≤ Mv)}. Define the minimal unfolded region of Ω by

U f(Ω) =

v∈Sm−1

{x ∈ Rm| x · v ≤ lv} .

(68)

. . . . . .

.. Examples of minimal unfolded regions

U f(Ω) ̸⊂ Ω

(69)

. . . . . .

.. Examples of minimal unfolded regions

U f(Ω) ̸⊂ Ω

(70)

. . . . . .

.. Examples of minimal unfolded regions

U f(Ω) ̸⊂ Ω

(71)

. . . . . .

.. Centers in minimal unfolded regions

The integrands of our potentials and their derivatives are quite symmetric.

The moving plane method (Gidas-Ni-Nirenberg) implies .Theorem

. .

... .

. .Any rα−m-center of Ω is in the minimal unfolded region of Ω.

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