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Potential Theory on Berkovich Spaces Lecture 3: Harmonic functions Matthew Baker Georgia Institute of Technology Arizona Winter School on p-adic Geometry March 2007 Matthew Baker Lecture 3: Introduction to Berkovich Curves

Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

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Page 1: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Potential Theory on Berkovich SpacesLecture 3: Harmonic functions

Matthew Baker

Georgia Institute of Technology

Arizona Winter School on p-adic GeometryMarch 2007

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 2: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Goals

In this lecture, we will explore the notion of a harmonic function inthe context of M(Z) and P1

Berk.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 3: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Notation and terminology

K : an algebraically closed field which is complete with respectto a nontrivial non-archimedean absolute value (e.g. K = Cp)

A domain in a topological space X is a connected open subsetof X .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 4: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Notation and terminology

K : an algebraically closed field which is complete with respectto a nontrivial non-archimedean absolute value (e.g. K = Cp)

A domain in a topological space X is a connected open subsetof X .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 5: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on M(Z)

We introduce the following notation for points of M(Z):

ζ∞,ε: the point of M(Z) corresponding to the archimedean norm| |∞,ε for 0 < ε < 1.

ζp,ε: the point of M(Z) corresponding to the p-adic norm | |p,ε for0 < ε < ∞.

ζ0: the point of M(Z) corresponding to the trivial norm | |0.ζp,∞: the point of M(Z) corresponding to the p-trivial seminorm

| |p,∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 6: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on M(Z)

We introduce the following notation for points of M(Z):

ζ∞,ε: the point of M(Z) corresponding to the archimedean norm| |∞,ε for 0 < ε < 1.

ζp,ε: the point of M(Z) corresponding to the p-adic norm | |p,ε for0 < ε < ∞.

ζ0: the point of M(Z) corresponding to the trivial norm | |0.ζp,∞: the point of M(Z) corresponding to the p-trivial seminorm

| |p,∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 7: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on M(Z)

We introduce the following notation for points of M(Z):

ζ∞,ε: the point of M(Z) corresponding to the archimedean norm| |∞,ε for 0 < ε < 1.

ζp,ε: the point of M(Z) corresponding to the p-adic norm | |p,ε for0 < ε < ∞.

ζ0: the point of M(Z) corresponding to the trivial norm | |0.ζp,∞: the point of M(Z) corresponding to the p-trivial seminorm

| |p,∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 8: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on M(Z)

We introduce the following notation for points of M(Z):

ζ∞,ε: the point of M(Z) corresponding to the archimedean norm| |∞,ε for 0 < ε < 1.

ζp,ε: the point of M(Z) corresponding to the p-adic norm | |p,ε for0 < ε < ∞.

ζ0: the point of M(Z) corresponding to the trivial norm | |0.

ζp,∞: the point of M(Z) corresponding to the p-trivial seminorm| |p,∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 9: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on M(Z)

We introduce the following notation for points of M(Z):

ζ∞,ε: the point of M(Z) corresponding to the archimedean norm| |∞,ε for 0 < ε < 1.

ζp,ε: the point of M(Z) corresponding to the p-adic norm | |p,ε for0 < ε < ∞.

ζ0: the point of M(Z) corresponding to the trivial norm | |0.ζp,∞: the point of M(Z) corresponding to the p-trivial seminorm

| |p,∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 10: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

A picture of M(Z)

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 11: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Tangent directions in M(Z)

For x in M(Z), we define the set Tx of tangent directions atx to be the connected components of M(Z)\{x}.

When x = ζ0 is the point corresponding to the trivialseminorm | |0 on Z, there is a canonical bijection between Tx

and the set MQ of places of Q.

At all other points of M(Z), the space Tx has cardinality 1 or2.

For v ∈ MQ, we will refer to the segment

`v =

{{| |∞,ε}0≤ε≤1 v ↔∞{| |p,ε}0≤ε≤∞ v ↔ p.

as the branch emanating from ζ0 in the direction v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 12: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Tangent directions in M(Z)

For x in M(Z), we define the set Tx of tangent directions atx to be the connected components of M(Z)\{x}.When x = ζ0 is the point corresponding to the trivialseminorm | |0 on Z, there is a canonical bijection between Tx

and the set MQ of places of Q.

At all other points of M(Z), the space Tx has cardinality 1 or2.

For v ∈ MQ, we will refer to the segment

`v =

{{| |∞,ε}0≤ε≤1 v ↔∞{| |p,ε}0≤ε≤∞ v ↔ p.

as the branch emanating from ζ0 in the direction v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 13: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Tangent directions in M(Z)

For x in M(Z), we define the set Tx of tangent directions atx to be the connected components of M(Z)\{x}.When x = ζ0 is the point corresponding to the trivialseminorm | |0 on Z, there is a canonical bijection between Tx

and the set MQ of places of Q.

At all other points of M(Z), the space Tx has cardinality 1 or2.

For v ∈ MQ, we will refer to the segment

`v =

{{| |∞,ε}0≤ε≤1 v ↔∞{| |p,ε}0≤ε≤∞ v ↔ p.

as the branch emanating from ζ0 in the direction v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 14: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Tangent directions in M(Z)

For x in M(Z), we define the set Tx of tangent directions atx to be the connected components of M(Z)\{x}.When x = ζ0 is the point corresponding to the trivialseminorm | |0 on Z, there is a canonical bijection between Tx

and the set MQ of places of Q.

At all other points of M(Z), the space Tx has cardinality 1 or2.

For v ∈ MQ, we will refer to the segment

`v =

{{| |∞,ε}0≤ε≤1 v ↔∞{| |p,ε}0≤ε≤∞ v ↔ p.

as the branch emanating from ζ0 in the direction v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 15: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

The metric space HZ

Recall that HZ denotes the complement of the points of typeζp,∞.

The points of HZ are precisely the ones at finite distance fromthe trivial point ζ0.

The space HZ is endowed with a metric topology which is notthe same as its subspace topology as a subset of M(Z).

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 16: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

The metric space HZ

Recall that HZ denotes the complement of the points of typeζp,∞.

The points of HZ are precisely the ones at finite distance fromthe trivial point ζ0.

The space HZ is endowed with a metric topology which is notthe same as its subspace topology as a subset of M(Z).

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 17: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

The metric space HZ

Recall that HZ denotes the complement of the points of typeζp,∞.

The points of HZ are precisely the ones at finite distance fromthe trivial point ζ0.

The space HZ is endowed with a metric topology which is notthe same as its subspace topology as a subset of M(Z).

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 18: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Affine functions

Let f : M(Z) → R ∪ {±∞}. We say that f is affine onM(Z) if:

1 The restriction of f to each branch `v for v ∈ MQ is an affinefunction of the form t 7→ av t + bv for real constants av , bv

depending on v .2 f is constant (i.e, av = 0) on all but finitely many branches `v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 19: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Affine functions

Let f : M(Z) → R ∪ {±∞}. We say that f is affine onM(Z) if:

1 The restriction of f to each branch `v for v ∈ MQ is an affinefunction of the form t 7→ av t + bv for real constants av , bv

depending on v .

2 f is constant (i.e, av = 0) on all but finitely many branches `v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 20: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Affine functions

Let f : M(Z) → R ∪ {±∞}. We say that f is affine onM(Z) if:

1 The restriction of f to each branch `v for v ∈ MQ is an affinefunction of the form t 7→ av t + bv for real constants av , bv

depending on v .2 f is constant (i.e, av = 0) on all but finitely many branches `v .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 21: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions

If f is an affine function on M(Z), define

∆ζ0(f ) = −∑

v∈Tζ0

d~v f (x)

= −∑

v∈MQ

av .

Definition

An affine function f : M(Z) → R ∪ {±∞} is harmonic at ζ0 if∆ζ0(f ) = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 22: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions

If f is an affine function on M(Z), define

∆ζ0(f ) = −∑

v∈Tζ0

d~v f (x)

= −∑

v∈MQ

av .

Motivated by the classical notion of harmonic functions on aweighted graph, we make the following definition:

Definition

An affine function f : M(Z) → R ∪ {±∞} is harmonic at ζ0 if∆ζ0(f ) = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 23: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions

If f is an affine function on M(Z), define

∆ζ0(f ) = −∑

v∈Tζ0

d~v f (x)

= −∑

v∈MQ

av .

Motivated by the classical notion of harmonic functions on aweighted graph, we make the following definition:

Definition

An affine function f : M(Z) → R ∪ {±∞} is harmonic at ζ0 if∆ζ0(f ) = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 24: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Example: log |n|

Lemma

If n ∈ Z is a nonzero integer, then the function x 7→ − log |n|x isaffine, and is harmonic at ζ0.

Proof.

Along the branch `v , the function − log |n|x is linear withslope equal to − log |n|v .

In particular, − log |n|x is constant along `v for all finite placesv corresponding to a prime p with p - n.

The fact that − log |n|x is harmonic at ζ0 is equivalent to theproduct formula for Q:

∆ζ0(− log |n|x) =∑

v∈MQ

log |n|v = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 25: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Example: log |n|

Lemma

If n ∈ Z is a nonzero integer, then the function x 7→ − log |n|x isaffine, and is harmonic at ζ0.

Proof.

Along the branch `v , the function − log |n|x is linear withslope equal to − log |n|v .

In particular, − log |n|x is constant along `v for all finite placesv corresponding to a prime p with p - n.

The fact that − log |n|x is harmonic at ζ0 is equivalent to theproduct formula for Q:

∆ζ0(− log |n|x) =∑

v∈MQ

log |n|v = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 26: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Example: log |n|

Lemma

If n ∈ Z is a nonzero integer, then the function x 7→ − log |n|x isaffine, and is harmonic at ζ0.

Proof.

Along the branch `v , the function − log |n|x is linear withslope equal to − log |n|v .

In particular, − log |n|x is constant along `v for all finite placesv corresponding to a prime p with p - n.

The fact that − log |n|x is harmonic at ζ0 is equivalent to theproduct formula for Q:

∆ζ0(− log |n|x) =∑

v∈MQ

log |n|v = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 27: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Example: log |n|

Lemma

If n ∈ Z is a nonzero integer, then the function x 7→ − log |n|x isaffine, and is harmonic at ζ0.

Proof.

Along the branch `v , the function − log |n|x is linear withslope equal to − log |n|v .

In particular, − log |n|x is constant along `v for all finite placesv corresponding to a prime p with p - n.

The fact that − log |n|x is harmonic at ζ0 is equivalent to theproduct formula for Q:

∆ζ0(− log |n|x) =∑

v∈MQ

log |n|v = 0.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 28: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on P1Berk

We now turn to what it means for an (extended) real-valuedfunction on P1

Berk to be harmonic. This is more complicatedthan the corresponding notion for M(Z), since the branchingbehavior of P1

Berk is much wilder.

Recall that if x ∈ P1Berk, the set Tx of tangent directions at x

is in one-to-one correspondence with the connectedcomponents of P1

Berk\{x}, and that:

|Tx | =

|P1(K )| x of type II2 x of type III1 x of type I or type IV.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 29: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on P1Berk

We now turn to what it means for an (extended) real-valuedfunction on P1

Berk to be harmonic. This is more complicatedthan the corresponding notion for M(Z), since the branchingbehavior of P1

Berk is much wilder.

Recall that if x ∈ P1Berk, the set Tx of tangent directions at x

is in one-to-one correspondence with the connectedcomponents of P1

Berk\{x}, and that:

|Tx | =

|P1(K )| x of type II2 x of type III1 x of type I or type IV.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 30: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on P1Berk

We now turn to what it means for an (extended) real-valuedfunction on P1

Berk to be harmonic. This is more complicatedthan the corresponding notion for M(Z), since the branchingbehavior of P1

Berk is much wilder.

Recall that if x ∈ P1Berk, the set Tx of tangent directions at x

is in one-to-one correspondence with the connectedcomponents of P1

Berk\{x}, and that:

|Tx | =

|P1(K )| x of type II

2 x of type III1 x of type I or type IV.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 31: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on P1Berk

We now turn to what it means for an (extended) real-valuedfunction on P1

Berk to be harmonic. This is more complicatedthan the corresponding notion for M(Z), since the branchingbehavior of P1

Berk is much wilder.

Recall that if x ∈ P1Berk, the set Tx of tangent directions at x

is in one-to-one correspondence with the connectedcomponents of P1

Berk\{x}, and that:

|Tx | =

|P1(K )| x of type II2 x of type III

1 x of type I or type IV.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 32: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Harmonic functions on P1Berk

We now turn to what it means for an (extended) real-valuedfunction on P1

Berk to be harmonic. This is more complicatedthan the corresponding notion for M(Z), since the branchingbehavior of P1

Berk is much wilder.

Recall that if x ∈ P1Berk, the set Tx of tangent directions at x

is in one-to-one correspondence with the connectedcomponents of P1

Berk\{x}, and that:

|Tx | =

|P1(K )| x of type II2 x of type III1 x of type I or type IV.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 33: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

The Berkovich projective line

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Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 34: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Continuous piecewise affine functions

Let U be a connected open subset of P1Berk (with respect to

the Berkovich topology), and let f : U → R ∪ {±∞} be anextended-real valued function which is finite-valued on HBerk.

We say that f is continuous piecewise affine on U, and writef ∈ CPA(U) if:

1 f is continuous.

2 The restriction of f to HBerk is piecewise-affine with respectto the path metric ρ.

(Concretely, this means that for each x ∈ U ∩HBerk and each~v ∈ Tx , for every sufficiently small path Λ~v representing ~v , therestriction of f to the segment Λ~v has the formt 7→ a~v t + b~v .)

3 For each x ∈ U ∩HBerk, we have a~v = 0 (i.e., f is constantalong sufficiently short paths emanating from x in thedirection ~v) for all but finitely many ~v ∈ Tx .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 35: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Continuous piecewise affine functions

Let U be a connected open subset of P1Berk (with respect to

the Berkovich topology), and let f : U → R ∪ {±∞} be anextended-real valued function which is finite-valued on HBerk.

We say that f is continuous piecewise affine on U, and writef ∈ CPA(U) if:

1 f is continuous.

2 The restriction of f to HBerk is piecewise-affine with respectto the path metric ρ.

(Concretely, this means that for each x ∈ U ∩HBerk and each~v ∈ Tx , for every sufficiently small path Λ~v representing ~v , therestriction of f to the segment Λ~v has the formt 7→ a~v t + b~v .)

3 For each x ∈ U ∩HBerk, we have a~v = 0 (i.e., f is constantalong sufficiently short paths emanating from x in thedirection ~v) for all but finitely many ~v ∈ Tx .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

Page 36: Potential Theory on Berkovich Spaces Lecture 3: Harmonic …people.math.gatech.edu/~mbaker/pdf/AWS3.pdf · 2014-08-15 · Harmonic functions If f is an affine function on M(Z), define

Continuous piecewise affine functions

Let U be a connected open subset of P1Berk (with respect to

the Berkovich topology), and let f : U → R ∪ {±∞} be anextended-real valued function which is finite-valued on HBerk.

We say that f is continuous piecewise affine on U, and writef ∈ CPA(U) if:

1 f is continuous.

2 The restriction of f to HBerk is piecewise-affine with respectto the path metric ρ.

(Concretely, this means that for each x ∈ U ∩HBerk and each~v ∈ Tx , for every sufficiently small path Λ~v representing ~v , therestriction of f to the segment Λ~v has the formt 7→ a~v t + b~v .)

3 For each x ∈ U ∩HBerk, we have a~v = 0 (i.e., f is constantalong sufficiently short paths emanating from x in thedirection ~v) for all but finitely many ~v ∈ Tx .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Continuous piecewise affine functions

Let U be a connected open subset of P1Berk (with respect to

the Berkovich topology), and let f : U → R ∪ {±∞} be anextended-real valued function which is finite-valued on HBerk.

We say that f is continuous piecewise affine on U, and writef ∈ CPA(U) if:

1 f is continuous.

2 The restriction of f to HBerk is piecewise-affine with respectto the path metric ρ.

(Concretely, this means that for each x ∈ U ∩HBerk and each~v ∈ Tx , for every sufficiently small path Λ~v representing ~v , therestriction of f to the segment Λ~v has the formt 7→ a~v t + b~v .)

3 For each x ∈ U ∩HBerk, we have a~v = 0 (i.e., f is constantalong sufficiently short paths emanating from x in thedirection ~v) for all but finitely many ~v ∈ Tx .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Continuous piecewise affine functions

Let U be a connected open subset of P1Berk (with respect to

the Berkovich topology), and let f : U → R ∪ {±∞} be anextended-real valued function which is finite-valued on HBerk.

We say that f is continuous piecewise affine on U, and writef ∈ CPA(U) if:

1 f is continuous.

2 The restriction of f to HBerk is piecewise-affine with respectto the path metric ρ.(Concretely, this means that for each x ∈ U ∩HBerk and each~v ∈ Tx , for every sufficiently small path Λ~v representing ~v , therestriction of f to the segment Λ~v has the formt 7→ a~v t + b~v .)

3 For each x ∈ U ∩HBerk, we have a~v = 0 (i.e., f is constantalong sufficiently short paths emanating from x in thedirection ~v) for all but finitely many ~v ∈ Tx .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Continuous piecewise affine functions

Let U be a connected open subset of P1Berk (with respect to

the Berkovich topology), and let f : U → R ∪ {±∞} be anextended-real valued function which is finite-valued on HBerk.

We say that f is continuous piecewise affine on U, and writef ∈ CPA(U) if:

1 f is continuous.

2 The restriction of f to HBerk is piecewise-affine with respectto the path metric ρ.(Concretely, this means that for each x ∈ U ∩HBerk and each~v ∈ Tx , for every sufficiently small path Λ~v representing ~v , therestriction of f to the segment Λ~v has the formt 7→ a~v t + b~v .)

3 For each x ∈ U ∩HBerk, we have a~v = 0 (i.e., f is constantalong sufficiently short paths emanating from x in thedirection ~v) for all but finitely many ~v ∈ Tx .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Directional derivatives

If x ∈ U ∩HBerk and f ∈ CPA(U), then for each ~v ∈ Tx , thedirectional derivative d~v f (x) is well-defined.

In the notation from the previous slide, if the restriction of fto some path representing ~v has the form t 7→ a~v t + b~v , then

d~v f (x) = a~v .

In particular, the quantity

∆x(f ) := −∑v∈Tx

d~v f (x)

is well-defined.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Directional derivatives

If x ∈ U ∩HBerk and f ∈ CPA(U), then for each ~v ∈ Tx , thedirectional derivative d~v f (x) is well-defined.

In the notation from the previous slide, if the restriction of fto some path representing ~v has the form t 7→ a~v t + b~v , then

d~v f (x) = a~v .

In particular, the quantity

∆x(f ) := −∑v∈Tx

d~v f (x)

is well-defined.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Directional derivatives

If x ∈ U ∩HBerk and f ∈ CPA(U), then for each ~v ∈ Tx , thedirectional derivative d~v f (x) is well-defined.

In the notation from the previous slide, if the restriction of fto some path representing ~v has the form t 7→ a~v t + b~v , then

d~v f (x) = a~v .

In particular, the quantity

∆x(f ) := −∑v∈Tx

d~v f (x)

is well-defined.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Definition of harmonic functions on P1Berk

Definition

Let U be a domain in P1Berk, and let h : U → R. We say that h is

harmonic on U if

1 h ∈ CPA(U), and2 h is harmonic at x for all x ∈ U, meaning that either:

x ∈ HBerk and ∆x(h) = 0 (i.e., the sum of the slopes of h inall tangent directions emanating from x is zero.); orx ∈ P1(K ) and h is constant on an open neighborhood of x .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Definition of harmonic functions on P1Berk

Definition

Let U be a domain in P1Berk, and let h : U → R. We say that h is

harmonic on U if

1 h ∈ CPA(U), and

2 h is harmonic at x for all x ∈ U, meaning that either:

x ∈ HBerk and ∆x(h) = 0 (i.e., the sum of the slopes of h inall tangent directions emanating from x is zero.); orx ∈ P1(K ) and h is constant on an open neighborhood of x .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Definition of harmonic functions on P1Berk

Definition

Let U be a domain in P1Berk, and let h : U → R. We say that h is

harmonic on U if

1 h ∈ CPA(U), and2 h is harmonic at x for all x ∈ U, meaning that either:

x ∈ HBerk and ∆x(h) = 0 (i.e., the sum of the slopes of h inall tangent directions emanating from x is zero.); orx ∈ P1(K ) and h is constant on an open neighborhood of x .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Definition of harmonic functions on P1Berk

Definition

Let U be a domain in P1Berk, and let h : U → R. We say that h is

harmonic on U if

1 h ∈ CPA(U), and2 h is harmonic at x for all x ∈ U, meaning that either:

x ∈ HBerk and ∆x(h) = 0 (i.e., the sum of the slopes of h inall tangent directions emanating from x is zero.); or

x ∈ P1(K ) and h is constant on an open neighborhood of x .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Definition of harmonic functions on P1Berk

Definition

Let U be a domain in P1Berk, and let h : U → R. We say that h is

harmonic on U if

1 h ∈ CPA(U), and2 h is harmonic at x for all x ∈ U, meaning that either:

x ∈ HBerk and ∆x(h) = 0 (i.e., the sum of the slopes of h inall tangent directions emanating from x is zero.); orx ∈ P1(K ) and h is constant on an open neighborhood of x .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x |

Example

Consider the function G : P1Berk → R ∪ {+∞} defined by

G (x) =

{+∞ x = ∞logv max(|T |x , 1) x ∈ A1

Berk.

The restriction of G to K is log+v |x | = logv max(|x |, 1).

G is harmonic on P1Berk\{ζGauss,∞}.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x |

Example

Consider the function G : P1Berk → R ∪ {+∞} defined by

G (x) =

{+∞ x = ∞logv max(|T |x , 1) x ∈ A1

Berk.

The restriction of G to K is log+v |x | = logv max(|x |, 1).

G is harmonic on P1Berk\{ζGauss,∞}.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x |

Example

Consider the function G : P1Berk → R ∪ {+∞} defined by

G (x) =

{+∞ x = ∞logv max(|T |x , 1) x ∈ A1

Berk.

The restriction of G to K is log+v |x | = logv max(|x |, 1).

G is harmonic on P1Berk\{ζGauss,∞}.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x | (continued)

Indeed, let Λ denote the closed path from ζGauss to ∞ in P1Berk,

and let rΛ : P1Berk � Λ be the natural retraction map from P1

Berk

onto Λ. Then:

1 G (x) is linear with slope 1 along Λ, i.e., G (x) = ρ(ζGauss, x).

2 G (x) is locally constant off Λ, i.e., for all x ∈ P1Berk, we have

G (x) = G (rΛ(x)).

Remark

1 G is not harmonic at ζGauss: the sum of the slopes of G in alldirections emanating from ζGauss is 1.

2 G is also not harmonic at ∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x | (continued)

Indeed, let Λ denote the closed path from ζGauss to ∞ in P1Berk,

and let rΛ : P1Berk � Λ be the natural retraction map from P1

Berk

onto Λ. Then:

1 G (x) is linear with slope 1 along Λ, i.e., G (x) = ρ(ζGauss, x).

2 G (x) is locally constant off Λ, i.e., for all x ∈ P1Berk, we have

G (x) = G (rΛ(x)).

Remark

1 G is not harmonic at ζGauss: the sum of the slopes of G in alldirections emanating from ζGauss is 1.

2 G is also not harmonic at ∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x | (continued)

Indeed, let Λ denote the closed path from ζGauss to ∞ in P1Berk,

and let rΛ : P1Berk � Λ be the natural retraction map from P1

Berk

onto Λ. Then:

1 G (x) is linear with slope 1 along Λ, i.e., G (x) = ρ(ζGauss, x).

2 G (x) is locally constant off Λ, i.e., for all x ∈ P1Berk, we have

G (x) = G (rΛ(x)).

Remark

1 G is not harmonic at ζGauss: the sum of the slopes of G in alldirections emanating from ζGauss is 1.

2 G is also not harmonic at ∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x | (continued)

Indeed, let Λ denote the closed path from ζGauss to ∞ in P1Berk,

and let rΛ : P1Berk � Λ be the natural retraction map from P1

Berk

onto Λ. Then:

1 G (x) is linear with slope 1 along Λ, i.e., G (x) = ρ(ζGauss, x).

2 G (x) is locally constant off Λ, i.e., for all x ∈ P1Berk, we have

G (x) = G (rΛ(x)).

Remark

1 G is not harmonic at ζGauss: the sum of the slopes of G in alldirections emanating from ζGauss is 1.

2 G is also not harmonic at ∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x | (continued)

Indeed, let Λ denote the closed path from ζGauss to ∞ in P1Berk,

and let rΛ : P1Berk � Λ be the natural retraction map from P1

Berk

onto Λ. Then:

1 G (x) is linear with slope 1 along Λ, i.e., G (x) = ρ(ζGauss, x).

2 G (x) is locally constant off Λ, i.e., for all x ∈ P1Berk, we have

G (x) = G (rΛ(x)).

Remark

1 G is not harmonic at ζGauss: the sum of the slopes of G in alldirections emanating from ζGauss is 1.

2 G is also not harmonic at ∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log+ |x | (continued)

Indeed, let Λ denote the closed path from ζGauss to ∞ in P1Berk,

and let rΛ : P1Berk � Λ be the natural retraction map from P1

Berk

onto Λ. Then:

1 G (x) is linear with slope 1 along Λ, i.e., G (x) = ρ(ζGauss, x).

2 G (x) is locally constant off Λ, i.e., for all x ∈ P1Berk, we have

G (x) = G (rΛ(x)).

Remark

1 G is not harmonic at ζGauss: the sum of the slopes of G in alldirections emanating from ζGauss is 1.

2 G is also not harmonic at ∞.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log |f | for f analytic and nowhere zero

Example

Let V = M(AV ) be an affinoid subdomain of P1Berk, and let U be

a connected open subset of V . If f ∈ AV is a nowhere zeroanalytic function on V , then the function logv |f |x is harmonic onU.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Example: log |f | for f analytic and nowhere zero

Example

Let V = M(AV ) be an affinoid subdomain of P1Berk, and let U be

a connected open subset of V . If f ∈ AV is a nowhere zeroanalytic function on V , then the function logv |f |x is harmonic onU.

This generalizes the well-known classical fact that if f is a nowherezero analytic function on an open subset U of the complex plane,then log |f | is harmonic on U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The maximum principle

The following result is the Berkovich space analogue of the classicalmaximum principle for harmonic functions on domains in C:

Theorem (Maximum Principle)

1 If h is a nonconstant harmonic function on a domainU ⊂ P1

Berk, then h does not achieve a maximum or aminimum value on U.

2 If h is a harmonic function on a domain U ⊂ P1Berk which

extends continuously to the closure U of U, then h achievesboth its minimum and maximum values on the boundary ∂Uof U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The maximum principle

The following result is the Berkovich space analogue of the classicalmaximum principle for harmonic functions on domains in C:

Theorem (Maximum Principle)

1 If h is a nonconstant harmonic function on a domainU ⊂ P1

Berk, then h does not achieve a maximum or aminimum value on U.

2 If h is a harmonic function on a domain U ⊂ P1Berk which

extends continuously to the closure U of U, then h achievesboth its minimum and maximum values on the boundary ∂Uof U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The maximum principle

The following result is the Berkovich space analogue of the classicalmaximum principle for harmonic functions on domains in C:

Theorem (Maximum Principle)

1 If h is a nonconstant harmonic function on a domainU ⊂ P1

Berk, then h does not achieve a maximum or aminimum value on U.

2 If h is a harmonic function on a domain U ⊂ P1Berk which

extends continuously to the closure U of U, then h achievesboth its minimum and maximum values on the boundary ∂Uof U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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A consequence of the maximum principle

Recall that a simple domain in P1Berk is a connected open set

V ⊆ P1Berk whose boundary is a finite subset of HR

Berk.

Lemma

Every harmonic function on a simple domain V in P1Berk extends

continuously to V .

Corollary

If U = P1Berk or U is an open Berkovich disk, then every harmonic

function on U is constant.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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A consequence of the maximum principle

Recall that a simple domain in P1Berk is a connected open set

V ⊆ P1Berk whose boundary is a finite subset of HR

Berk.

Lemma

Every harmonic function on a simple domain V in P1Berk extends

continuously to V .

Corollary

If U = P1Berk or U is an open Berkovich disk, then every harmonic

function on U is constant.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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A consequence of the maximum principle

Recall that a simple domain in P1Berk is a connected open set

V ⊆ P1Berk whose boundary is a finite subset of HR

Berk.

Lemma

Every harmonic function on a simple domain V in P1Berk extends

continuously to V .

If V = P1Berk, then then ∂V is empty, and if V is a Berkovich open

disk, then ∂V consists of a single point. By the second part of themaximum principle, we conclude:

Corollary

If U = P1Berk or U is an open Berkovich disk, then every harmonic

function on U is constant.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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A consequence of the maximum principle

Recall that a simple domain in P1Berk is a connected open set

V ⊆ P1Berk whose boundary is a finite subset of HR

Berk.

Lemma

Every harmonic function on a simple domain V in P1Berk extends

continuously to V .

If V = P1Berk, then then ∂V is empty, and if V is a Berkovich open

disk, then ∂V consists of a single point. By the second part of themaximum principle, we conclude:

Corollary

If U = P1Berk or U is an open Berkovich disk, then every harmonic

function on U is constant.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain

An important observation is that the behavior of a harmonicfunction on a domain U ⊆ P1

Berk is controlled by its behavior on acertain special subset.

Definition

If U is a domain in P1Berk, the main dendrite D(U) ⊂ U is set of all

points x ∈ U belonging to paths between boundary points of U.

If U is a Berkovich open disk, then D(U) is empty.

If U = B(a,R)−\B(a, r) is a Berkovich open annulus, thenD(U) is the open segment joining the two boundary pointsζa,r and ζa,R of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain

An important observation is that the behavior of a harmonicfunction on a domain U ⊆ P1

Berk is controlled by its behavior on acertain special subset.

Definition

If U is a domain in P1Berk, the main dendrite D(U) ⊂ U is set of all

points x ∈ U belonging to paths between boundary points of U.

If U is a Berkovich open disk, then D(U) is empty.

If U = B(a,R)−\B(a, r) is a Berkovich open annulus, thenD(U) is the open segment joining the two boundary pointsζa,r and ζa,R of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain

An important observation is that the behavior of a harmonicfunction on a domain U ⊆ P1

Berk is controlled by its behavior on acertain special subset.

Definition

If U is a domain in P1Berk, the main dendrite D(U) ⊂ U is set of all

points x ∈ U belonging to paths between boundary points of U.

For example:

If U is a Berkovich open disk, then D(U) is empty.

If U = B(a,R)−\B(a, r) is a Berkovich open annulus, thenD(U) is the open segment joining the two boundary pointsζa,r and ζa,R of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain

An important observation is that the behavior of a harmonicfunction on a domain U ⊆ P1

Berk is controlled by its behavior on acertain special subset.

Definition

If U is a domain in P1Berk, the main dendrite D(U) ⊂ U is set of all

points x ∈ U belonging to paths between boundary points of U.

For example:

If U is a Berkovich open disk, then D(U) is empty.

If U = B(a,R)−\B(a, r) is a Berkovich open annulus, thenD(U) is the open segment joining the two boundary pointsζa,r and ζa,R of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain

An important observation is that the behavior of a harmonicfunction on a domain U ⊆ P1

Berk is controlled by its behavior on acertain special subset.

Definition

If U is a domain in P1Berk, the main dendrite D(U) ⊂ U is set of all

points x ∈ U belonging to paths between boundary points of U.

For example:

If U is a Berkovich open disk, then D(U) is empty.

If U = B(a,R)−\B(a, r) is a Berkovich open annulus, thenD(U) is the open segment joining the two boundary pointsζa,r and ζa,R of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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A Berkovich open annulus

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain (continued)

The most important topological fact about the main dendrite is:

Lemma

If the main dendrite of a domain U is nonempty, then it is finitelybranched at each point of HBerk.

Example

If K = Cp and U = P1Berk\P1(Qp), then the main dendrite D(U) is

a locally finite real tree in which the set of branch points isdiscrete, and every branch point has degree p + 1. In fact, D(U)can be identified with the (geometric realization of the)Bruhat-Tits tree for PGL(2, Qp).

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain (continued)

The most important topological fact about the main dendrite is:

Lemma

If the main dendrite of a domain U is nonempty, then it is finitelybranched at each point of HBerk.

Example

If K = Cp and U = P1Berk\P1(Qp), then the main dendrite D(U) is

a locally finite real tree in which the set of branch points isdiscrete, and every branch point has degree p + 1. In fact, D(U)can be identified with the (geometric realization of the)Bruhat-Tits tree for PGL(2, Qp).

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The main dendrite of a domain (continued)

The most important topological fact about the main dendrite is:

Lemma

If the main dendrite of a domain U is nonempty, then it is finitelybranched at each point of HBerk.

Example

If K = Cp and U = P1Berk\P1(Qp), then the main dendrite D(U) is

a locally finite real tree in which the set of branch points isdiscrete, and every branch point has degree p + 1. In fact, D(U)can be identified with the (geometric realization of the)Bruhat-Tits tree for PGL(2, Qp).

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harmonic functions and the main dendrite

Theorem

Let U be a domain in P1Berk, and let h be harmonic on U. If the

main dendrite is empty, then h is constant; otherwise, h is constanton all branches leading away from the main dendrite.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula (classical case)

In the classical theory of harmonic functions in the complexplane, if f is harmonic on an open disk V then it has acontinuous extension to the closure of V , and the PoissonFormula expresses the values of f on V in terms of its valueson the boundary of V .

Specifically, if V ⊆ C is an open disk of radius r centered atz0, and if f is harmonic in V , then f extends continuously toV and f (z0) =

∫∂V f dµV , where µV is the uniform

probability measure dθ/2π on the boundary circle ∂V .

More generally, for any z ∈ V there is a measure µz,V

depending on z and V , called the Jensen-Poisson measure,such that

f (z) =

∫∂V

f dµz,V

for every harmonic function f on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula (classical case)

In the classical theory of harmonic functions in the complexplane, if f is harmonic on an open disk V then it has acontinuous extension to the closure of V , and the PoissonFormula expresses the values of f on V in terms of its valueson the boundary of V .

Specifically, if V ⊆ C is an open disk of radius r centered atz0, and if f is harmonic in V , then f extends continuously toV and f (z0) =

∫∂V f dµV , where µV is the uniform

probability measure dθ/2π on the boundary circle ∂V .

More generally, for any z ∈ V there is a measure µz,V

depending on z and V , called the Jensen-Poisson measure,such that

f (z) =

∫∂V

f dµz,V

for every harmonic function f on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula (classical case)

In the classical theory of harmonic functions in the complexplane, if f is harmonic on an open disk V then it has acontinuous extension to the closure of V , and the PoissonFormula expresses the values of f on V in terms of its valueson the boundary of V .

Specifically, if V ⊆ C is an open disk of radius r centered atz0, and if f is harmonic in V , then f extends continuously toV and f (z0) =

∫∂V f dµV , where µV is the uniform

probability measure dθ/2π on the boundary circle ∂V .

More generally, for any z ∈ V there is a measure µz,V

depending on z and V , called the Jensen-Poisson measure,such that

f (z) =

∫∂V

f dµz,V

for every harmonic function f on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula (classical case)

In the classical theory of harmonic functions in the complexplane, if f is harmonic on an open disk V then it has acontinuous extension to the closure of V , and the PoissonFormula expresses the values of f on V in terms of its valueson the boundary of V .

Specifically, if V ⊆ C is an open disk of radius r centered atz0, and if f is harmonic in V , then f extends continuously toV and f (z0) =

∫∂V f dµV , where µV is the uniform

probability measure dθ/2π on the boundary circle ∂V .

More generally, for any z ∈ V there is a measure µz,V

depending on z and V , called the Jensen-Poisson measure,such that

f (z) =

∫∂V

f dµz,V

for every harmonic function f on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula for P1Berk

In P1Berk, the basic open neigbhorhoods are the simple

domains, which have only a finite number of boundary points.

Every harmonic function f on a simple domain V has acontinuous extension to its closure.

There is an analogue of the Jensen-Poisson measure whichyields an explicit formula for f on V in terms of its values onthe boundary of V . In other words, one can explicitly solvethe Berkovich space analogue of the Dirichlet problem on anysimple domain.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula for P1Berk

In P1Berk, the basic open neigbhorhoods are the simple

domains, which have only a finite number of boundary points.

Every harmonic function f on a simple domain V has acontinuous extension to its closure.

There is an analogue of the Jensen-Poisson measure whichyields an explicit formula for f on V in terms of its values onthe boundary of V . In other words, one can explicitly solvethe Berkovich space analogue of the Dirichlet problem on anysimple domain.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson Formula for P1Berk

In P1Berk, the basic open neigbhorhoods are the simple

domains, which have only a finite number of boundary points.

Every harmonic function f on a simple domain V has acontinuous extension to its closure.

There is an analogue of the Jensen-Poisson measure whichyields an explicit formula for f on V in terms of its values onthe boundary of V . In other words, one can explicitly solvethe Berkovich space analogue of the Dirichlet problem on anysimple domain.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Gromov product

Definition

For x , y , z ∈ HBerk, define the Gromov product (x |y)z by

(x |y)z = ρ(w , z),

where w is the first point where the unique paths from x to zand y to z intersect.

Alternatively, one checks easily that

(x |y)z =1

2(ρ(x , z) + ρ(y , z)− ρ(x , y)) .

Remark

This definition plays an important role in Gromov’s theory ofδ-hyperbolic spaces, with HBerk being an example of a0-hyperbolic space.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Gromov product

Definition

For x , y , z ∈ HBerk, define the Gromov product (x |y)z by

(x |y)z = ρ(w , z),

where w is the first point where the unique paths from x to zand y to z intersect.

Alternatively, one checks easily that

(x |y)z =1

2(ρ(x , z) + ρ(y , z)− ρ(x , y)) .

Remark

This definition plays an important role in Gromov’s theory ofδ-hyperbolic spaces, with HBerk being an example of a0-hyperbolic space.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Gromov product

Definition

For x , y , z ∈ HBerk, define the Gromov product (x |y)z by

(x |y)z = ρ(w , z),

where w is the first point where the unique paths from x to zand y to z intersect.

Alternatively, one checks easily that

(x |y)z =1

2(ρ(x , z) + ρ(y , z)− ρ(x , y)) .

Remark

This definition plays an important role in Gromov’s theory ofδ-hyperbolic spaces, with HBerk being an example of a0-hyperbolic space.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Some linear algebra

Let V be a simple domain in P1Berk with boundary points

x1, . . . , xm ∈ HRBerk.

A probability vector on Rm is a vector [p1, . . . , pm] ∈ Rm suchthat pi ≥ 0 for 1 ≤ i ≤ m and p1 + · · ·+ pm = 1.

Lemma

For each z ∈ V ∩HBerk, there is a unique probability vector[h1(z), . . . , hm(z)] for which the quantity

h1(z)(xi |x1)z + · · ·+ hm(z)(xi |xm)z

is independent of i .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Some linear algebra

Let V be a simple domain in P1Berk with boundary points

x1, . . . , xm ∈ HRBerk.

A probability vector on Rm is a vector [p1, . . . , pm] ∈ Rm suchthat pi ≥ 0 for 1 ≤ i ≤ m and p1 + · · ·+ pm = 1.

Lemma

For each z ∈ V ∩HBerk, there is a unique probability vector[h1(z), . . . , hm(z)] for which the quantity

h1(z)(xi |x1)z + · · ·+ hm(z)(xi |xm)z

is independent of i .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Some linear algebra

Let V be a simple domain in P1Berk with boundary points

x1, . . . , xm ∈ HRBerk.

A probability vector on Rm is a vector [p1, . . . , pm] ∈ Rm suchthat pi ≥ 0 for 1 ≤ i ≤ m and p1 + · · ·+ pm = 1.

Lemma

For each z ∈ V ∩HBerk, there is a unique probability vector[h1(z), . . . , hm(z)] for which the quantity

h1(z)(xi |x1)z + · · ·+ hm(z)(xi |xm)z

is independent of i .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Some linear algebra

Let V be a simple domain in P1Berk with boundary points

x1, . . . , xm ∈ HRBerk.

A probability vector on Rm is a vector [p1, . . . , pm] ∈ Rm suchthat pi ≥ 0 for 1 ≤ i ≤ m and p1 + · · ·+ pm = 1.

Lemma

For each z ∈ V ∩HBerk, there is a unique probability vector[h1(z), . . . , hm(z)] for which the quantity

h1(z)(xi |x1)z + · · ·+ hm(z)(xi |xm)z

is independent of i .

One can give an explicit formula for h1(z), . . . , hm(z) usingCramer’s rule.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harmonic measures

For each i , the function z 7→ hi (z), defined originally forz ∈ V ∩HBerk, extends by continuity to a map hi : V → R,called the i th harmonic measure with respect to V .

hi is a harmonic function on V .

The values of hi on ∂V are given by the formula hi (xj) = δij .

By construction, we have 0 ≤ hi (z) ≤ 1 for all z ∈ V andh1 + · · ·+ hm ≡ 1 on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harmonic measures

For each i , the function z 7→ hi (z), defined originally forz ∈ V ∩HBerk, extends by continuity to a map hi : V → R,called the i th harmonic measure with respect to V .

hi is a harmonic function on V .

The values of hi on ∂V are given by the formula hi (xj) = δij .

By construction, we have 0 ≤ hi (z) ≤ 1 for all z ∈ V andh1 + · · ·+ hm ≡ 1 on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harmonic measures

For each i , the function z 7→ hi (z), defined originally forz ∈ V ∩HBerk, extends by continuity to a map hi : V → R,called the i th harmonic measure with respect to V .

hi is a harmonic function on V .

The values of hi on ∂V are given by the formula hi (xj) = δij .

By construction, we have 0 ≤ hi (z) ≤ 1 for all z ∈ V andh1 + · · ·+ hm ≡ 1 on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harmonic measures

For each i , the function z 7→ hi (z), defined originally forz ∈ V ∩HBerk, extends by continuity to a map hi : V → R,called the i th harmonic measure with respect to V .

hi is a harmonic function on V .

The values of hi on ∂V are given by the formula hi (xj) = δij .

By construction, we have 0 ≤ hi (z) ≤ 1 for all z ∈ V andh1 + · · ·+ hm ≡ 1 on V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson formula

Theorem (Poisson formula)

Let V be a simple domain in P1Berk with boundary points

x1, . . . , xm. Then each harmonic function f on V has a continuousextension to V , and there is a unique such function with aprescribed set of boundary values

Moreover, f can be computedfrom its boundary values using the formula

f (z) =m∑

i=1

f (xi ) · hi (z),

valid for all z ∈ V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Poisson formula

Theorem (Poisson formula)

Let V be a simple domain in P1Berk with boundary points

x1, . . . , xm. Then each harmonic function f on V has a continuousextension to V , and there is a unique such function with aprescribed set of boundary values Moreover, f can be computedfrom its boundary values using the formula

f (z) =m∑

i=1

f (xi ) · hi (z),

valid for all z ∈ V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Jensen-Poisson measure

For z ∈ V , define the Jensen-Poisson measure µz,V on Vrelative to the point z by

µz,V =m∑

i=1

hi (z)δxi .

The Poisson formula can be reformulated as follows:

Corollary

If V is a simple domain in P1Berk, then a continuous function

f : V → R is harmonic in V if and only if

f (z) =

∫∂V

f dµz,V

for all z ∈ V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Jensen-Poisson measure

For z ∈ V , define the Jensen-Poisson measure µz,V on Vrelative to the point z by

µz,V =m∑

i=1

hi (z)δxi .

The Poisson formula can be reformulated as follows:

Corollary

If V is a simple domain in P1Berk, then a continuous function

f : V → R is harmonic in V if and only if

f (z) =

∫∂V

f dµz,V

for all z ∈ V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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The Jensen-Poisson measure

For z ∈ V , define the Jensen-Poisson measure µz,V on Vrelative to the point z by

µz,V =m∑

i=1

hi (z)δxi .

The Poisson formula can be reformulated as follows:

Corollary

If V is a simple domain in P1Berk, then a continuous function

f : V → R is harmonic in V if and only if

f (z) =

∫∂V

f dµz,V

for all z ∈ V .

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Limits of harmonic functions

The Poisson formula can be used to prove that any limit of asequence of harmonic functions is harmonic, under a much weakercondition than is required classically.

Theorem

Let U be a domain in P1Berk. Suppose f1, f2, . . . are harmonic in U

and converge pointwise to a function f : U → R. Then f (z) isharmonic in U, and the fi (z) converge uniformly to f (z) oncompact subsets of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harnack’s principle

There is also a Berkovich space analogue of Harnack’s principle:

Theorem (Harnack’s Principle)

Let U be a domain in P1Berk, and suppose f1, f2, . . . are harmonic in

U, with 0 ≤ f1 ≤ f2 ≤ · · · . Then either

1 limi→∞ fi ≡ +∞; or

2 f (z) = limi→∞ fi (z) is finite for all z, the fi (z) convergeuniformly to f (z) on compact subsets of U, and f (z) isharmonic in U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harnack’s principle

There is also a Berkovich space analogue of Harnack’s principle:

Theorem (Harnack’s Principle)

Let U be a domain in P1Berk, and suppose f1, f2, . . . are harmonic in

U, with 0 ≤ f1 ≤ f2 ≤ · · · . Then either

1 limi→∞ fi ≡ +∞; or

2 f (z) = limi→∞ fi (z) is finite for all z, the fi (z) convergeuniformly to f (z) on compact subsets of U, and f (z) isharmonic in U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harnack’s principle

There is also a Berkovich space analogue of Harnack’s principle:

Theorem (Harnack’s Principle)

Let U be a domain in P1Berk, and suppose f1, f2, . . . are harmonic in

U, with 0 ≤ f1 ≤ f2 ≤ · · · . Then either

1 limi→∞ fi ≡ +∞; or

2 f (z) = limi→∞ fi (z) is finite for all z, the fi (z) convergeuniformly to f (z) on compact subsets of U, and f (z) isharmonic in U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Harnack’s principle

There is also a Berkovich space analogue of Harnack’s principle:

Theorem (Harnack’s Principle)

Let U be a domain in P1Berk, and suppose f1, f2, . . . are harmonic in

U, with 0 ≤ f1 ≤ f2 ≤ · · · . Then either

1 limi→∞ fi ≡ +∞; or

2 f (z) = limi→∞ fi (z) is finite for all z, the fi (z) convergeuniformly to f (z) on compact subsets of U, and f (z) isharmonic in U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Subharmonic functions

Definition

Let U ⊂ P1Berk be a domain. A function f : U → [−∞,∞) with

f (x) 6≡ −∞ is called subharmonic on U if

(SH1) f is upper semicontinuous. (This means that f −1([−∞, b)) isopen for each b ∈ R.)

(SH2) For each simple subdomain V of U (i.e., a simple domain Vwhose closure is contained in U), we have

f (z) ≤∫

∂Vf dµz,V

for all z ∈ V .

f is called superharmonic on U if −f is subharmonic on U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Subharmonic functions

Definition

Let U ⊂ P1Berk be a domain. A function f : U → [−∞,∞) with

f (x) 6≡ −∞ is called subharmonic on U if

(SH1) f is upper semicontinuous. (This means that f −1([−∞, b)) isopen for each b ∈ R.)

(SH2) For each simple subdomain V of U (i.e., a simple domain Vwhose closure is contained in U), we have

f (z) ≤∫

∂Vf dµz,V

for all z ∈ V .

f is called superharmonic on U if −f is subharmonic on U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Subharmonic functions

Definition

Let U ⊂ P1Berk be a domain. A function f : U → [−∞,∞) with

f (x) 6≡ −∞ is called subharmonic on U if

(SH1) f is upper semicontinuous. (This means that f −1([−∞, b)) isopen for each b ∈ R.)

(SH2) For each simple subdomain V of U (i.e., a simple domain Vwhose closure is contained in U), we have

f (z) ≤∫

∂Vf dµz,V

for all z ∈ V .

f is called superharmonic on U if −f is subharmonic on U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Subharmonic functions

Definition

Let U ⊂ P1Berk be a domain. A function f : U → [−∞,∞) with

f (x) 6≡ −∞ is called subharmonic on U if

(SH1) f is upper semicontinuous. (This means that f −1([−∞, b)) isopen for each b ∈ R.)

(SH2) For each simple subdomain V of U (i.e., a simple domain Vwhose closure is contained in U), we have

f (z) ≤∫

∂Vf dµz,V

for all z ∈ V .

f is called superharmonic on U if −f is subharmonic on U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Subharmonic functions (continued)

Remark

1 By the Poisson formula, condition (SH2) can be replaced bythe condition that for each simple subdomain V ⊂ U andeach harmonic function h on V , if f (x) ≤ h(x) on ∂V thenf (x) ≤ h(x) on V .

2 f is harmonic on U if and only if it is both subharmonic andsuperharmonic on U.

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Subharmonic functions (continued)

Remark

1 By the Poisson formula, condition (SH2) can be replaced bythe condition that for each simple subdomain V ⊂ U andeach harmonic function h on V , if f (x) ≤ h(x) on ∂V thenf (x) ≤ h(x) on V .

2 f is harmonic on U if and only if it is both subharmonic andsuperharmonic on U.

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Examples of subharmonic functions

Example

Let V = M(AV ) be an affinoid subdomain of P1Berk, and let U be

a connected open subset of V . If f ∈ AV is analytic on V , thenthe function logv |f |x is subharmonic on U.

Example

For fixed y , z ∈ HBerk, the function f (x) = (x |y)z issuperharmonic in P1

Berk\{z}, and subharmonic in P1Berk\{y}.

Matthew Baker Lecture 3: Introduction to Berkovich Curves

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Examples of subharmonic functions

Example

Let V = M(AV ) be an affinoid subdomain of P1Berk, and let U be

a connected open subset of V . If f ∈ AV is analytic on V , thenthe function logv |f |x is subharmonic on U.

Example

For fixed y , z ∈ HBerk, the function f (x) = (x |y)z issuperharmonic in P1

Berk\{z}, and subharmonic in P1Berk\{y}.

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Maximum principle for subharmonic functions

Theorem (Maximum Principle)

1 If f is a nonconstant subharmonic function on a domainU ⊂ P1

Berk, then f does not achieve a global maximum on U.

2 If f is a subharmonic function on a domain U ⊂ P1Berk which

extends continuously to U, then f achieves its maximum valueon ∂U.

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Maximum principle for subharmonic functions

Theorem (Maximum Principle)

1 If f is a nonconstant subharmonic function on a domainU ⊂ P1

Berk, then f does not achieve a global maximum on U.

2 If f is a subharmonic function on a domain U ⊂ P1Berk which

extends continuously to U, then f achieves its maximum valueon ∂U.

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Subharmonic functions and the main dendrite

The following result shows that at any given point, there are onlyfinitely many tangent directions in which a subharmonic functioncan be increasing:

Theorem

Let f be subharmonic on a domain U. Then f is non-increasing onpaths leading away from the main dendrite of U. If U is a disk,then f is non-increasing on paths leading away from the uniqueboundary point of U.

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Subharmonic functions and the main dendrite

The following result shows that at any given point, there are onlyfinitely many tangent directions in which a subharmonic functioncan be increasing:

Theorem

Let f be subharmonic on a domain U. Then f is non-increasing onpaths leading away from the main dendrite of U. If U is a disk,then f is non-increasing on paths leading away from the uniqueboundary point of U.

Matthew Baker Lecture 3: Introduction to Berkovich Curves