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Gláucio Terra

Departamento de Matemática IME - USP

October 21, 2019

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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 .

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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 .

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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 .

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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.

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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.

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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)

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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)

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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.

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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.

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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.

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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).

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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)

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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)

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Proposition (5.9 )

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

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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).

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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).

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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).

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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).

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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.

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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.

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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.

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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 .

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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 .

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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}.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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)

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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)

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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 .

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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).

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Corollary (5.37)

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

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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).

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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)

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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)

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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.

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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.

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Exercise (5.41)

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

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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

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