• Nenhum resultado encontrado

Geometric Measure Theory

N/A
N/A
Protected

Academic year: 2022

Share "Geometric Measure Theory"

Copied!
63
0
0

Texto

(1)

Gláucio Terra

Departamento de Matemática IME - USP

October 21, 2019

(2)

Recall: Lipschitz constant

Given metric spacesX andY andf :X →Y Lipschitz, Lipf :=sup{dY f(x),f(y)

dX(x,y) |x 6=y ∈X}, is calledLipschitz constantoff.

Theorem (McShane’s lemma; 5.1)

Let A⊂Rnand f :A→Ra Lipschitz map. Define F :Rn→Rby:

F(x) :=inf{f(a) +Lipf· kx−ak |a∈A}. (1) Then F extends f andLipF =Lipf .

(3)

Recall: Lipschitz constant

Given metric spacesX andY andf :X →Y Lipschitz, Lipf :=sup{dY f(x),f(y)

dX(x,y) |x 6=y ∈X}, is calledLipschitz constantoff.

Theorem (McShane’s lemma; 5.1)

Let A⊂Rnand f :A→Ra Lipschitz map. Define F :Rn→Rby:

F(x) :=inf{f(a) +Lipf· kx−ak |a∈A}. (1) Then F extends f andLipF =Lipf .

(4)

Theorem (Kirszbraun’s theorem; 5.2)

Let A⊂Rnand f :A→Rma Lipschitz map. Then there exists a Lipschitz extension f :Rn→Rmof f such thatLipF =Lipf .

(5)

Motivation

IfΩis an open subset ofRnandX ∈C1c(Ω,Rn), Z

divXdLn =0.

Ifu∈C1(Ω)andϕ∈C1c(Ω,Rn), the previous equality applied to X =uϕyields theelementary Gauss-Green’s identity in divergence form:

Z

h∇u, ϕidLn=− Z

udivϕdLn.

(6)

Motivation

IfΩis an open subset ofRnandX ∈C1c(Ω,Rn), Z

divXdLn =0.

Ifu∈C1(Ω)andϕ∈C1c(Ω,Rn), the previous equality applied to X =uϕyields theelementary Gauss-Green’s identity in divergence form:

Z

h∇u, ϕidLn=− Z

udivϕdLn.

(7)

Definition (weak derivatives and gradients; 5.3)

LetΩbe an open subset ofRnandu ∈L1loc(Ln|). We say that:

1 For 1≤i≤n,uhasweak i-th partial derivative vi ∈L1loc(Ln|)if

∀ϕ∈Cc (Ω), Z

viϕdLn =− Z

u∂ϕ

∂xi dLn.

2 uhasweak gradient v ∈L1loc(Ln|,Rn)if∀ϕ∈Cc (Ω,Rn), Z

hv, ϕidLn =− Z

udivϕdLn. (2)

(8)

Definition (weak derivatives and gradients; 5.3)

LetΩbe an open subset ofRnandu ∈L1loc(Ln|). We say that:

1 For 1≤i≤n,uhasweak i-th partial derivative vi ∈L1loc(Ln|)if

∀ϕ∈Cc (Ω), Z

viϕdLn =− Z

u∂ϕ

∂xi dLn.

2 uhasweak gradient v ∈L1loc(Ln|,Rn)if∀ϕ∈Cc (Ω,Rn), Z

hv, ϕidLn =− Z

udivϕdLn. (2)

(9)

Exercise (weak gradients, bis; 5.4)

Weak gradients may be also characterized by means of Gauss-Green identity in gradient form. That is, letΩbe an open subset ofRnand u ∈L1loc(Ln|); then u admits weak gradient v ∈L1loc(Ln|,Rn) iff∀ϕ∈Cc (Ω),

Z

ϕvdLn=− Z

u∇ϕdLn. (3)

Exercise (5.5)

LetΩbe an open subset ofRn, u∈L1loc(Ln|)and1≤i≤n. If there exists ∂xwu

i ∈L1loc(Ln|), then∀ϕ∈C1c(Ω), Z

wu

∂xi ϕdLn=− Z

u∂ϕ

∂xi dLn.

(10)

Exercise (weak gradients, bis; 5.4)

Weak gradients may be also characterized by means of Gauss-Green identity in gradient form. That is, letΩbe an open subset ofRnand u ∈L1loc(Ln|); then u admits weak gradient v ∈L1loc(Ln|,Rn) iff∀ϕ∈Cc (Ω),

Z

ϕvdLn=− Z

u∇ϕdLn. (3)

Exercise (5.5)

LetΩbe an open subset ofRn, u∈L1loc(Ln|)and1≤i≤n. If there exists ∂xwu

i ∈L1loc(Ln|), then∀ϕ∈C1c(Ω), Z

wu

∂xi ϕdLn=− Z

u∂ϕ

∂xi dLn.

(11)

Proposition (vanishing weak gradient)

LetΩ⊂Rnbe a connected open set and u∈L1loc(Ln|)such that

∀ϕ∈Cc (Ω),R

u∇ϕdLn=0. Then u coincidesLn-a.e. with a constant function.

(12)

Definition (5.8)

LetΩbe an open subset ofRn,u : Ω→Rand 1≤p≤ ∞. We say that

1 uis a(1,p)-Sobolev functionifu ∈Lp(Ln|)and,∀1≤i ≤n,u has weak partial derivatives ∂x∂u

i ∈Lp(Ln|). Notation: W1,p(Ω).

2 uis alocal(1,p)-Sobolev functionifu∈Lploc(Ln|)and,

∀1≤i ≤n,u has weak partial derivatives ∂x∂u

i ∈Lploc(Ln|).

Notation: W1,ploc(Ω).

(13)

Notation

Letu:Rn→Randτ ∈Sn−1. Forh∈R\ {0}, we denote by τhu:Rn →Rthe incremental ratio ofuin the directionτ:

τhu(x) := u(x +hτ)−u(x)

h .

By the invariance of the Lebesgue measure under translations, if u ∈L1loc(Rn),v :Rn→RboundedLn-measurable with compact support andh∈R\ {0}:

Z

u(x +hτ)v(x)dLn(x) = Z

u(x)v(x −hτ)dLn(x),

hence Z

τhu(x)v(x)dLn(x) =− Z

u(x)τ−hv(x)dLn(x). (4)

(14)

Notation

Letu:Rn→Randτ ∈Sn−1. Forh∈R\ {0}, we denote by τhu:Rn →Rthe incremental ratio ofuin the directionτ:

τhu(x) := u(x +hτ)−u(x)

h .

By the invariance of the Lebesgue measure under translations, if u ∈L1loc(Rn),v :Rn→RboundedLn-measurable with compact support andh∈R\ {0}:

Z

u(x +hτ)v(x)dLn(x) = Z

u(x)v(x −hτ)dLn(x),

hence Z

τhu(x)v(x)dLn(x) =− Z

u(x)τ−hv(x)dLn(x). (4)

(15)

Proposition (5.9 )

Let f :Rn→Rbe a Lipschitz function. Then f ∈W1,∞loc (Rn).

(16)

Fréchet Differentiability

LetU⊂Rnopen andf :U→R. Recall thatf is differentiable at x0∈U in the sense of Fréchet if there existsA∈L(Rn,R)such that

h→0lim

f(x0+h)−f(x0)−A·h

khk =0.

If that is the case,f has first order partial derivatives atx0,Asatisfying the above condition is unique and coincides withh∇f(x0),·i:Rn→R; Ais calledFréchet derivativeoff atx0and denoted by Df(x0).

(17)

Fréchet Differentiability

LetU⊂Rnopen andf :U→R. Recall thatf is differentiable at x0∈U in the sense of Fréchet if there existsA∈L(Rn,R)such that

h→0lim

f(x0+h)−f(x0)−A·h

khk =0.

If that is the case,f has first order partial derivatives atx0,Asatisfying the above condition is unique and coincides withh∇f(x0),·i:Rn→R; Ais calledFréchet derivativeoff atx0and denoted by Df(x0).

(18)

Exercise (characterization of Fréchet differentiability; 5.10)

Let U ⊂Rnopen and f :U→R. Then f is differentiable at x0∈U iffthere exists A∈L(Rn,R)such that

lim

t→0+

f(x0+tv)−f(x0)

t =A·v

uniformly in v ∈Sn−1. If so A=Df(x0).

Exercise (weak gradients under scaling and translations; 5.11)

Let x ∈Rn, h>0, T :Rn→Rngiven byτ 7→x+hτ and u∈W1,1loc(Rn).

Then u◦T ∈W1,1loc(Rn)and∇w(u◦T)(τ) =h∇wu(x +hτ).

(19)

Exercise (characterization of Fréchet differentiability; 5.10)

Let U ⊂Rnopen and f :U→R. Then f is differentiable at x0∈U iffthere exists A∈L(Rn,R)such that

lim

t→0+

f(x0+tv)−f(x0)

t =A·v

uniformly in v ∈Sn−1. If so A=Df(x0).

Exercise (weak gradients under scaling and translations; 5.11)

Let x ∈Rn, h>0, T :Rn→Rngiven byτ 7→x+hτ and u∈W1,1loc(Rn).

Then u◦T ∈W1,1loc(Rn)and∇w(u◦T)(τ) =h∇wu(x +hτ).

(20)

Theorem (Rademacher’s theorem; 5.12)

Let f :Rn→Rbe Lipschitz. Then f is differentiable in the sense of FréchetLn-a.e. and∇f =∇wf Ln-a.e.

Exercise (5.13)

Let f :Rn→Rbe Lipschitz. The set Df of points where f is differentiable in the sense of Fréchet is Borel measurable and Df :Df →L(Rn,R)is Borelian.

Corollary (5.14)

IfΩ⊂Rn open and f : Ω→Ris locally Lipschitz, then f isLn|-a.e.

differentiable in the sense of Fréchet.

(21)

Theorem (Rademacher’s theorem; 5.12)

Let f :Rn→Rbe Lipschitz. Then f is differentiable in the sense of FréchetLn-a.e. and∇f =∇wf Ln-a.e.

Exercise (5.13)

Let f :Rn→Rbe Lipschitz. The set Df of points where f is differentiable in the sense of Fréchet is Borel measurable and Df :Df →L(Rn,R)is Borelian.

Corollary (5.14)

IfΩ⊂Rn open and f : Ω→Ris locally Lipschitz, then f isLn|-a.e.

differentiable in the sense of Fréchet.

(22)

Theorem (Rademacher’s theorem; 5.12)

Let f :Rn→Rbe Lipschitz. Then f is differentiable in the sense of FréchetLn-a.e. and∇f =∇wf Ln-a.e.

Exercise (5.13)

Let f :Rn→Rbe Lipschitz. The set Df of points where f is differentiable in the sense of Fréchet is Borel measurable and Df :Df →L(Rn,R)is Borelian.

Corollary (5.14)

IfΩ⊂Rn open and f : Ω→Ris locally Lipschitz, then f isLn|-a.e.

differentiable in the sense of Fréchet.

(23)

Corollary (5.16)

IfΩ⊂Rn open and f : Ω→Rmis locally Lipschitz, then f isLn|-a.e.

differentiable in the sense of Fréchet.

Corollary (5.17)

1 Let f :Rn→Rmbe locally Lipschitz and Zf :={x ∈Rn|f(x) =0}.

ThenDf(x) =0forLn-a.e. x ∈Zf.

2 Let f,g :Rn→Rnbe locally Lipschitz and Y :={x ∈Rn |g f(x)

=x}. ThenDg f(x)

◦Df(x) =idRn for Ln-a.e. x ∈Y .

(24)

Corollary (5.16)

IfΩ⊂Rn open and f : Ω→Rmis locally Lipschitz, then f isLn|-a.e.

differentiable in the sense of Fréchet.

Corollary (5.17)

1 Let f :Rn→Rmbe locally Lipschitz and Zf :={x ∈Rn|f(x) =0}.

ThenDf(x) =0forLn-a.e. x ∈Zf.

2 Let f,g :Rn→Rnbe locally Lipschitz and Y :={x ∈Rn |g f(x)

=x}. ThenDg f(x)

◦Df(x) =idRn for Ln-a.e. x ∈Y .

(25)

Definition (5.18)

Let V and W be finite-dimensional Hilbert spaces.

1 A linear mapO :V→W is called anorthogonal injectionif

∀x,y ∈V,hO·x,O·yi=hx,yi. Notation:O(V,W).

2 LetT :V→W be a linear map. We denote byT theadjointofT with respect to the inner products on V and W. If V=W and T =T, we callT self-adjointorsymmetric(notation: Sym(V)).

3 We say that a linear mapT :V→V ispositiveif it is symmetric and∀x ∈V,hT ·x,xi ≥0.

(26)

Theorem (5.20)

LetVandWbe finite-dimensional Hilbert spaces and L:V→Wbe a linear map.

1 Ifdim V≤dim W, there exists a positive S∈Sym(V)and O∈O(V,W)such that

L=O◦S.

Moreover, in the above decomposition, S ∈Sym(V)positive is unique, and so is O∈O(V,W)if L is injective.

2 Ifdim V≥dim W, there exists a positive S∈Sym(W)and O∈O(W,V)such that

L=S◦O.

Moreover, in the above decomposition, S ∈Sym(W)positive is unique, and so is O∈O(W,V)if L is surjective.

(27)

Theorem (5.20)

LetVandWbe finite-dimensional Hilbert spaces and L:V→Wbe a linear map.

1 Ifdim V≤dim W, there exists a positive S∈Sym(V)and O∈O(V,W)such that

L=O◦S.

Moreover, in the above decomposition, S ∈Sym(V)positive is unique, and so is O∈O(V,W)if L is injective.

2 Ifdim V≥dim W, there exists a positive S∈Sym(W)and O∈O(W,V)such that

L=S◦O.

Moreover, in the above decomposition, S ∈Sym(W)positive is unique, and so is O∈O(W,V)if L is surjective.

(28)

Definition (Jacobian of a linear map; 5.21)

Let V and W be finite-dimensional Hilbert spaces andL∈L(V,W), with polar decompositionO◦Sif dim V≤dim W orS◦Oif dim V>dim W.

We define theJacobianofLby:

JLK:=|detS|.

Remark (5.22)

1 Note thatJLKis well-defined, by the uniqueness ofSin the polar decomposition.

2 It is clear that

JLK=JLK= (√

detLL if dim V≤dim W

detLL if dim V≥dim W.

(29)

Definition (Jacobian of a linear map; 5.21)

Let V and W be finite-dimensional Hilbert spaces andL∈L(V,W), with polar decompositionO◦Sif dim V≤dim W orS◦Oif dim V>dim W.

We define theJacobianofLby:

JLK:=|detS|.

Remark (5.22)

1 Note thatJLKis well-defined, by the uniqueness ofSin the polar decomposition.

2 It is clear that

JLK=JLK= (√

detLL if dim V≤dim W

detLL if dim V≥dim W.

(30)

Theorem (5.23)

LetVandWbe finite-dimensional Hilbert spaces with n=dim V≤dim W=m. If L∈L(V,W), then

JLK=

s X

B∈µ(m,n)

(detB)2,

whereµ(m,n)is the set of n×n minors in some matrix representation of L with respect to orthonormal bases onVandW.

(31)

Definition (5.25)

Letf :Rn→Rmbe Lipschitz.

We define, for each pointx wheref is differentiable, theJacobianoff atx,

Jf(x) :=JDf(x)K.

Note that Jf is a Borelian function defined on the complement of a Borel subset ofRnofLn-null measure.

(32)

Notation

For a Lipschitz mapf :Rn →Rm, we will use henceforth the following notation:

Df :={x ∈Rn| ∃Df(x)};

Jf+:={x ∈Df |Jf(x)>0};

Jf0:={x ∈Df |Jf(x) =0}.

(33)

Lemma (5.27)

If L:Rn→Rm is linear and n≤m, then∀A⊂Rn, Hn L(A)

=JLKLn(A). (5)

Exercise (5.28)

Let T ∈L(Rn,Rm), n≤m.

1 If R ∈L(Rn), thenJT ◦RK=JTKJRK.

2

JTK≤ kTkn. If T is 1-1, thenkT−1k−n≤JTK≤ kTkn.

3 If m≤k and R∈L(Rm,Rk), thenJR◦TK≤ kRknJTK. If R is 1-1, thenkR−1k−nJTK≤JR◦TK≤ kRknJTK.

(34)

Lemma (5.27)

If L:Rn→Rm is linear and n≤m, then∀A⊂Rn, Hn L(A)

=JLKLn(A). (5)

Exercise (5.28)

Let T ∈L(Rn,Rm), n≤m.

1 If R ∈L(Rn), thenJT ◦RK=JTKJRK.

2

JTK≤ kTkn. If T is 1-1, thenkT−1k−n≤JTK≤ kTkn.

3 If m≤k and R∈L(Rm,Rk), thenJR◦TK≤ kRknJTK. If R is 1-1, thenkR−1k−nJTK≤JR◦TK≤ kRknJTK.

(35)

Lemma (5.27)

If L:Rn→Rm is linear and n≤m, then∀A⊂Rn, Hn L(A)

=JLKLn(A). (5)

Exercise (5.28)

Let T ∈L(Rn,Rm), n≤m.

1 If R ∈L(Rn), thenJT ◦RK=JTKJRK.

2

JTK≤ kTkn. If T is 1-1, thenkT−1k−n≤JTK≤ kTkn.

3 If m≤k and R∈L(Rm,Rk), thenJR◦TK≤ kRknJTK. If R is 1-1, thenkR−1k−nJTK≤JR◦TK≤ kRknJTK.

(36)

Lemma (5.27)

If L:Rn→Rm is linear and n≤m, then∀A⊂Rn, Hn L(A)

=JLKLn(A). (5)

Exercise (5.28)

Let T ∈L(Rn,Rm), n≤m.

1 If R ∈L(Rn), thenJT ◦RK=JTKJRK.

2

JTK≤ kTkn. If T is 1-1, thenkT−1k−n≤JTK≤ kTkn.

3 If m≤k and R∈L(Rm,Rk), thenJR◦TK≤ kRknJTK. If R is 1-1, thenkR−1k−nJTK≤JR◦TK≤ kRknJTK.

(37)

Lemma (5.29)

Let f :Rn→Rmbe Lipschitz, with n≤m, and A⊂RnLn-measurable.

Then:

1 f(A)isHn-measurable.

2 The function N(f|A) :Rm→[0,∞]given by y 7→H0(A∩f−1{y})is Hn-measurable.

3 R

RmH0(A∩f−1{y})dHn(y)≤(Lipf)nLn(A).

Definition (multiplicity function;5.30)

With the notation from the previous lemma,

N(f|A) :y 7→H0(A∩f−1{y})is called themultiplicity functionoff|A.

(38)

Remark (5.31)

IfX is a complete, separable metric space,Y a Hausdorff topological space,µa Borel measure onY andf :X →Y continuous, then

∀A∈BX,f(A)isµ-measurable.

(39)

Definition (5.32)

Letf :Rn→Rmbe a Lipschitz map withn≤mandt >1. We say that (E,S)is at-linearizationforf ifE ∈BRn andS ∈Sym(n)∩GL(Rn) satisfy:

i) ∀x ∈E,f is differentiable atx and Jf(x)>0;

ii) ∀x,y ∈E,t−1kS·x−S·yk ≤ kf(x)−f(y)k ≤tkS·x −S·yk;

iii) ∀x ∈E,∀v ∈Rn,t−1kS·vk ≤ kDf(x)·vk ≤tkS·vk.

(40)

Proposition (5.33)

Let E ∈BRn such that condition i) in the previous definition holds and S ∈Sym(n)∩GL(Rn). Then(E,S)is a t-linearization for f ifff|E is 1-1 with Lipschitz inverse and satisfies:

ii’) Lipf|E◦S−1≤t andLipS◦(f|E)−1≤t;

iii’) ∀x ∈E ,kDf(x)◦S−1k ≤t andkS◦Df(x)−1k ≤t.

Corollary (5.34)

Let f :Rn→Rmbe a Lipschitz map with n≤m, t >1and(E,S)a t-linearization for f . Then∀x ∈E ,

t−n|detS| ≤Jf(x)≤tn|detS|. (6)

(41)

Proposition (5.33)

Let E ∈BRn such that condition i) in the previous definition holds and S ∈Sym(n)∩GL(Rn). Then(E,S)is a t-linearization for f ifff|E is 1-1 with Lipschitz inverse and satisfies:

ii’) Lipf|E◦S−1≤t andLipS◦(f|E)−1≤t;

iii’) ∀x ∈E ,kDf(x)◦S−1k ≤t andkS◦Df(x)−1k ≤t.

Corollary (5.34)

Let f :Rn→Rmbe a Lipschitz map with n≤m, t >1and(E,S)a t-linearization for f . Then∀x ∈E ,

t−n|detS| ≤Jf(x)≤tn|detS|. (6)

(42)

Theorem (5.35)

Let f :Rn→Rmbe a Lipschitz map with n≤m, t >1and

Jf+={x ∈Rn| ∃Df(x)and Jf(x)>0}. Then there exists a countable disjoint family(Ek)k∈NinBRn such that Jf+=∪_k∈NEk and,∀k ∈N, there exists Sk ∈Sym(n)∩GL(Rn)such that(Ek,Sk)is a

t-linearization for f .

(43)

Theorem (5.36)

Let f :Rn→Rmbe Lipschitz, n≤m. Then, for all A∈σ(Ln), Z

A

JfdLn = Z

Rm

H0(A∩f−1{y})dHn(y).

(44)

Corollary (5.37)

If f :Rn→Rm is Lipschitz, n≤m, then forHn-a.e. y ∈Rm, f−1{y}is countable.

(45)

Corollary (5.38)

Let f :Rn→Rmbe Lipschitz, n≤m. Then for all g :Rn →R Ln-measurable with g≥0or g summable,

Z

Rn

gJfdLn= Z

Rm

X

x∈f−1{y}

g(x)

dHn(y).

(46)

Corollary (5.39)

Let f :Rn→Rmbe Lipschitz 1-1, n≤m.

1 ∀A∈σ(Ln),Hn f(A)

=R

AJfdLn. In particular, we have

f#(Ln

x

Jf) =Hn

x

Imf (7)

(equality as Borel regular outer measures onRm).

2 If g:Rn→RisLn-measurable with g≥0or g ∈L1(Ln), then R

Imf g◦f−1dHn=R

RngJfdLn. In particular, if g :Imf →[0,∞]is Borelian, then

Z

Imf

gdHn= Z

g◦fJfdLn. (8)

(47)

Corollary (5.39)

Let f :Rn→Rmbe Lipschitz 1-1, n≤m.

1 ∀A∈σ(Ln),Hn f(A)

=R

AJfdLn. In particular, we have

f#(Ln

x

Jf) =Hn

x

Imf (7)

(equality as Borel regular outer measures onRm).

2 If g:Rn→RisLn-measurable with g≥0or g ∈L1(Ln), then R

Imf g◦f−1dHn=R

RngJfdLn. In particular, if g :Imf →[0,∞]is Borelian, then

Z

Imf

gdHn= Z

g◦fJfdLn. (8)

(48)

Example (5.40)

1 (length of a curve) Let−∞<a<b<∞andγ : [a,b]→Rmbe Lipschitz 1-1. We may extendγ to a Lipschitz function onR, which we still denote byγ. Then

Z b a

0(t)kdt=H1 γ([a,b]) .

2 (area of a graph) Letg :Rn→Rbe Lipschitz andf :Rn →Rn+1 be given byf(x) := x,g(x)

.

For eachU⊂Rn open, the “surface area” of the graph ofg over U,Γ = Γ(g;U) :={ x,g(x)

|x ∈U}=f(U), is given by:

Hn(Γ) = Z

U

JfdLn= Z

U

q

1+k∇g(x)k2dx.

(49)

Example (5.40)

1 (length of a curve) Let−∞<a<b<∞andγ : [a,b]→Rmbe Lipschitz 1-1. We may extendγ to a Lipschitz function onR, which we still denote byγ. Then

Z b a

0(t)kdt=H1 γ([a,b]) .

2 (area of a graph) Letg :Rn→Rbe Lipschitz andf :Rn →Rn+1 be given byf(x) := x,g(x)

.

For eachU⊂Rn open, the “surface area” of the graph ofg over U,Γ = Γ(g;U) :={ x,g(x)

|x ∈U}=f(U), is given by:

Hn(Γ) = Z

U

JfdLn= Z

U

q

1+k∇g(x)k2dx.

(50)

Exercise (5.41)

The area formula and its corollaries remain valid for locally Lipschitz maps defined on open subsets ofRn.

(51)

R

Exercise (5.42)

For any smooth embedded k -Riemannian submanifoldM⊂Rn, the measure induced by the Riemannian metric onM(i.e. the Lebesgue measure ofM) coincides with the traceHk|M. Conclude that

H-dimM =k and, ifMis closed (i.e. topologically closed),Hk

x

Mis

a Radon measure onRn.

(52)

Theorem (5.48)

Let f :Rn→Rmbe Lipschitz, n≥m. Then, for eachLn-measurable A⊂Rn,

Z

A

JfdLn= Z

Rm

Hn−m(A∩f−1{y})dLm(y). (9)

(53)

Remark (5.49)

1 Iff :Rn≡Rm×Rn−m →Rm is the projection on the first factor, we have Jf ≡1 and the coarea formula reduces to Fubini-Tonelli’s theorem.

2 Ifn=m, the coarea formula coincides with the area formula 22.

3 If we take the Borel set

A:= (Rn\Df)∪Jf0={x ∈Rn|@Df(x)or Jf(x) =0}in the coarea formula, we conclude thatHn−m(A∩f−1{y}) =0 for Lm-a.e. y ∈Rm.

That may be interpreted as a measure theoretic version of Morse-Sard’s theorem:Lm-a.e. y ∈Rmis a measure theoretic

“regular value” off, in the sense that, up toHn−mnull sets,f−1{y} lies in the setJf+of points where Df has maximal rank.

(54)

Remark (5.49)

1 Iff :Rn≡Rm×Rn−m →Rm is the projection on the first factor, we have Jf ≡1 and the coarea formula reduces to Fubini-Tonelli’s theorem.

2 Ifn=m, the coarea formula coincides with the area formula 22.

3 If we take the Borel set

A:= (Rn\Df)∪Jf0={x ∈Rn|@Df(x)or Jf(x) =0}in the coarea formula, we conclude thatHn−m(A∩f−1{y}) =0 for Lm-a.e. y ∈Rm.

That may be interpreted as a measure theoretic version of Morse-Sard’s theorem:Lm-a.e. y ∈Rmis a measure theoretic

“regular value” off, in the sense that, up toHn−mnull sets,f−1{y} lies in the setJf+of points where Df has maximal rank.

(55)

Remark (5.49)

1 Iff :Rn≡Rm×Rn−m →Rm is the projection on the first factor, we have Jf ≡1 and the coarea formula reduces to Fubini-Tonelli’s theorem.

2 Ifn=m, the coarea formula coincides with the area formula 22.

3 If we take the Borel set

A:= (Rn\Df)∪Jf0={x ∈Rn|@Df(x)or Jf(x) =0}in the coarea formula, we conclude thatHn−m(A∩f−1{y}) =0 for Lm-a.e. y ∈Rm.

That may be interpreted as a measure theoretic version of Morse-Sard’s theorem:Lm-a.e. y ∈Rmis a measure theoretic

“regular value” off, in the sense that, up toHn−mnull sets,f−1{y} lies in the setJf+of points where Df has maximal rank.

(56)

Remark (5.49)

1 Iff :Rn≡Rm×Rn−m →Rm is the projection on the first factor, we have Jf ≡1 and the coarea formula reduces to Fubini-Tonelli’s theorem.

2 Ifn=m, the coarea formula coincides with the area formula 22.

3 If we take the Borel set

A:= (Rn\Df)∪Jf0={x ∈Rn|@Df(x)or Jf(x) =0}in the coarea formula, we conclude thatHn−m(A∩f−1{y}) =0 for Lm-a.e. y ∈Rm.

That may be interpreted as a measure theoretic version of Morse-Sard’s theorem:Lm-a.e. y ∈Rmis a measure theoretic

“regular value” off, in the sense that, up toHn−mnull sets,f−1{y} lies in the setJf+of points where Df has maximal rank.

(57)

Corollary (curvilinear Fubini-Tonelli’s theorem; 5.50)

Let f :Rn→Rmbe Lipschitz, n≥m. Then for all g :Rn →R Ln-measurable with g≥0or g summable,

Z

Rn

gJfdLn= Z

Rm

Z

f−1{y}

g(x)dHn−m(x)

dLm(y), (10) meaning that the iterated integrals in second member make sense and the equality holds.

(58)

Exercise (Coarea Formula for locally Lipschitz maps; 5.51)

The coarea formula and its corollary remain valid for locally Lipschitz maps defined on open subsets ofRn.

(59)

Proposition (polar coordinates; 5.52)

If g :Rn →RisLn-measurable and g≥0or g∈L1(Ln), then Z

Rn

gdLn= Z

0

Z

B(0,r)

gdHn−1

dr. (11)

Proposition (5.53)

LetΩ⊂Rnopen and f : Ω→Rbe locally Lipschitz. Then Z

k∇fkdLn= Z

−∞

Hn−1({f =t})dt.

(60)

Proposition (polar coordinates; 5.52)

If g :Rn →RisLn-measurable and g≥0or g∈L1(Ln), then Z

Rn

gdLn= Z

0

Z

B(0,r)

gdHn−1

dr. (11)

Proposition (5.53)

LetΩ⊂Rnopen and f : Ω→Rbe locally Lipschitz. Then Z

k∇fkdLn= Z

−∞

Hn−1({f =t})dt.

(61)

Theorem (6.45)

Let n ≥2, f :Rn−1→RLipschitz andΩ :=epiS f (hence∂Ω =grf ).

Then

i) Hn−1

x

∂Ωis a Radon measure onRn;

ii) there exists a Borel measurable unit vector fieldν :∂Ω→Rn, unique up toHn−1

x

∂Ω-null sets, such that, for allϕ∈C1c(Rn),

Z

∇ϕdLn= Z

∂Ω

ϕνdHn−1, (12)

or, equivalently, such that, for allϕ∈C1c(Rn,Rn), Z

divϕdLn= Z

∂Ω

ϕ·νdHn−1. (13)

(62)

With the notation from the previous theorem,ν is calledouter unit normalto∂Ω.

Remark

Up toHn

x

∂Ω-null sets, on each point pointx = x0,f(x0) in

∂Ω =grf whose abscissax0is a differentiability point off,

ν(x) = ∇f(x0),−1

p1+k∇f(x0)k2. (14) In particular, iff is C1,νcoincides with the usual outer unit normal from Differential Geometry.

(63)

With the notation from the previous theorem,ν is calledouter unit normalto∂Ω.

Remark

Up toHn

x

∂Ω-null sets, on each point pointx = x0,f(x0) in

∂Ω =grf whose abscissax0is a differentiability point off, ν(x) = ∇f(x0),−1

p1+k∇f(x0)k2. (14) In particular, iff is C1,νcoincides with the usual outer unit normal from Differential Geometry.

Referências

Documentos relacionados

Tese de doutorado apresentada ao Programa de Pós- Graduação em Enfermagem da Faculdade de Farmácia, Odontologia e Enfermagem da Universidade Federal do Ceará como

A necessidade de associada à formação haver também maior partilha de informação no seio da equipa foi referida ainda por dois enfermeiros, verbalizando que “É necessária

In this study, two groups of rivers (polluted and unpolluted), which are part of the same Portuguese lotic ecosystem, were in- spected for the presence of

Em função das suas potencialidades e tendências evolutivas da temática sustenta-se uma abordagem mais integrada do termo e é nesse contexto que ora se assume e interpreta o

Tendo em vista a particular dinâmica demográfica do público-alvo da CDHU, que difere da dinâmica populacional total do Estado de São Paulo, o objetivo deste trabalho consiste

O principal objetivo deste estudo de caso é mostrar uma experiência inovadora da área Formação via Web da Diretoria de Extensão da Fundação CECIERJ por meio de uma

In particular, if µ is a positive Radon measure on X , the pushforward of µ by f in the sense of definition above coincides with the pushforward in the sense of positive

O software deve proporcionar um controle total dos clientes para os quais a empresa desenvolve sites e precisa do controle de pagamentos do serviço, da