Trying to prove Sard's lemma












3












$begingroup$


This is an exercise of Analysis III of Amann and Escher:




enter image description here




Note: here $XsubsetBbb R^n$ is open.



I was trying to follow the hint, however I cant finish a proof. My work so far:



Let $x_0in C$. Now let $J_0$ the cube centered at $x_0$ with side length $r>0$ such that $J_0subset X$. Then $Phi(J_0)$ is compact and convex, and from the mean value theorem we find that
$$
Phi(x)-Phi(x_0)=int_0^1partialPhi(x_0+t(x-x_0))(x-x_0), dttag1
$$

Hence
$$
|Phi(x)-Phi(x_0)|le |x-x_0|int_0^1|partialPhi(x_0+t(x-x_0))|, dttag2
$$

Then setting $rho(r):=max_{xin J_0}int_0^1|partialPhi(x_0+t(x-x_0))|, dt$ we find that
$$
lambda_n(Phi(J_0))le rho(r)^nlambda_n(J_0)= (rrho(r))^ntag3
$$

Now note that $|partial Phi(x_0)|lemax_{1le kle n}|lambda_k|$, where $lambda_1,ldots,lambda_n$ are the eigenvalues of $partialPhi(x)_{Bbb C}$ (where $partialPhi(x)_{Bbb C}$ is the complexification of $partialPhi(x)$).



However Im stuck here. I cant see that $lim_{rto 0^+}rho(r)=0$, what I see is that $lim_{rto 0^+}rho(r)=|partialPhi(x_0)|$, what is not necessarily zero.



Some help will be appreciated, thank you.










share|cite|improve this question











$endgroup$












  • $begingroup$
    You need to use that $|partial Phi(x_0) - partial Phi (x_0 + t (x-x_0))|$ gets small as $tto 0$, and then you need to estimate the measure of $partial Phi (x_0) (J_0)$.
    $endgroup$
    – PhoemueX
    Dec 27 '18 at 16:48










  • $begingroup$
    @PhoemueX I dont follow what you says... Of course $|partialPhi(x_0)-partialPhi(x_0+t(x-x_0)|to 0$ as $tto 0$ because $partialPhi$ is continuous. But this can be said of any continuous derivative. By the other hand is clear that $lambda_n(partialPhi(x_0)Bbb R^n)=0$ because $partialPhi(x_0)$ is not injective. However I dont see the relation of this things with my question
    $endgroup$
    – Masacroso
    Dec 28 '18 at 6:41










  • $begingroup$
    Sorry if this is a silly question, but why do you say "$partialPhi(x_0)$ is not injective"? Is not that denoting a matrix with values, i.e. the Jacobian matrix evaluated at $x = x_0$ and hence it is non-sense to talk about injective, surjective, etc?
    $endgroup$
    – manooooh
    Dec 29 '18 at 9:06








  • 1




    $begingroup$
    @manooooh ok, I see what you are asking. The Fréchet derivative at a point of some differentiable function is a linear function, that can be represented by a matrix acting in $Bbb R^n$ (the Jacobian matrix). In this case we knows that $partialPhi(x_0)notinmathcal L{rm aut}(Bbb R^n)$, that is, it is a linear function in $Bbb R^n$ that is not an automorphism. This imply that $partialPhi(x_0)$ is not surjective, and because it is linear, then it is neither injective. This mean that the Jacobian matrix (that is a square matrix $ntimes n$) that represent this function is not invertible.
    $endgroup$
    – Masacroso
    Dec 29 '18 at 10:56


















3












$begingroup$


This is an exercise of Analysis III of Amann and Escher:




enter image description here




Note: here $XsubsetBbb R^n$ is open.



I was trying to follow the hint, however I cant finish a proof. My work so far:



Let $x_0in C$. Now let $J_0$ the cube centered at $x_0$ with side length $r>0$ such that $J_0subset X$. Then $Phi(J_0)$ is compact and convex, and from the mean value theorem we find that
$$
Phi(x)-Phi(x_0)=int_0^1partialPhi(x_0+t(x-x_0))(x-x_0), dttag1
$$

Hence
$$
|Phi(x)-Phi(x_0)|le |x-x_0|int_0^1|partialPhi(x_0+t(x-x_0))|, dttag2
$$

Then setting $rho(r):=max_{xin J_0}int_0^1|partialPhi(x_0+t(x-x_0))|, dt$ we find that
$$
lambda_n(Phi(J_0))le rho(r)^nlambda_n(J_0)= (rrho(r))^ntag3
$$

Now note that $|partial Phi(x_0)|lemax_{1le kle n}|lambda_k|$, where $lambda_1,ldots,lambda_n$ are the eigenvalues of $partialPhi(x)_{Bbb C}$ (where $partialPhi(x)_{Bbb C}$ is the complexification of $partialPhi(x)$).



However Im stuck here. I cant see that $lim_{rto 0^+}rho(r)=0$, what I see is that $lim_{rto 0^+}rho(r)=|partialPhi(x_0)|$, what is not necessarily zero.



Some help will be appreciated, thank you.










share|cite|improve this question











$endgroup$












  • $begingroup$
    You need to use that $|partial Phi(x_0) - partial Phi (x_0 + t (x-x_0))|$ gets small as $tto 0$, and then you need to estimate the measure of $partial Phi (x_0) (J_0)$.
    $endgroup$
    – PhoemueX
    Dec 27 '18 at 16:48










  • $begingroup$
    @PhoemueX I dont follow what you says... Of course $|partialPhi(x_0)-partialPhi(x_0+t(x-x_0)|to 0$ as $tto 0$ because $partialPhi$ is continuous. But this can be said of any continuous derivative. By the other hand is clear that $lambda_n(partialPhi(x_0)Bbb R^n)=0$ because $partialPhi(x_0)$ is not injective. However I dont see the relation of this things with my question
    $endgroup$
    – Masacroso
    Dec 28 '18 at 6:41










  • $begingroup$
    Sorry if this is a silly question, but why do you say "$partialPhi(x_0)$ is not injective"? Is not that denoting a matrix with values, i.e. the Jacobian matrix evaluated at $x = x_0$ and hence it is non-sense to talk about injective, surjective, etc?
    $endgroup$
    – manooooh
    Dec 29 '18 at 9:06








  • 1




    $begingroup$
    @manooooh ok, I see what you are asking. The Fréchet derivative at a point of some differentiable function is a linear function, that can be represented by a matrix acting in $Bbb R^n$ (the Jacobian matrix). In this case we knows that $partialPhi(x_0)notinmathcal L{rm aut}(Bbb R^n)$, that is, it is a linear function in $Bbb R^n$ that is not an automorphism. This imply that $partialPhi(x_0)$ is not surjective, and because it is linear, then it is neither injective. This mean that the Jacobian matrix (that is a square matrix $ntimes n$) that represent this function is not invertible.
    $endgroup$
    – Masacroso
    Dec 29 '18 at 10:56
















3












3








3


1



$begingroup$


This is an exercise of Analysis III of Amann and Escher:




enter image description here




Note: here $XsubsetBbb R^n$ is open.



I was trying to follow the hint, however I cant finish a proof. My work so far:



Let $x_0in C$. Now let $J_0$ the cube centered at $x_0$ with side length $r>0$ such that $J_0subset X$. Then $Phi(J_0)$ is compact and convex, and from the mean value theorem we find that
$$
Phi(x)-Phi(x_0)=int_0^1partialPhi(x_0+t(x-x_0))(x-x_0), dttag1
$$

Hence
$$
|Phi(x)-Phi(x_0)|le |x-x_0|int_0^1|partialPhi(x_0+t(x-x_0))|, dttag2
$$

Then setting $rho(r):=max_{xin J_0}int_0^1|partialPhi(x_0+t(x-x_0))|, dt$ we find that
$$
lambda_n(Phi(J_0))le rho(r)^nlambda_n(J_0)= (rrho(r))^ntag3
$$

Now note that $|partial Phi(x_0)|lemax_{1le kle n}|lambda_k|$, where $lambda_1,ldots,lambda_n$ are the eigenvalues of $partialPhi(x)_{Bbb C}$ (where $partialPhi(x)_{Bbb C}$ is the complexification of $partialPhi(x)$).



However Im stuck here. I cant see that $lim_{rto 0^+}rho(r)=0$, what I see is that $lim_{rto 0^+}rho(r)=|partialPhi(x_0)|$, what is not necessarily zero.



Some help will be appreciated, thank you.










share|cite|improve this question











$endgroup$




This is an exercise of Analysis III of Amann and Escher:




enter image description here




Note: here $XsubsetBbb R^n$ is open.



I was trying to follow the hint, however I cant finish a proof. My work so far:



Let $x_0in C$. Now let $J_0$ the cube centered at $x_0$ with side length $r>0$ such that $J_0subset X$. Then $Phi(J_0)$ is compact and convex, and from the mean value theorem we find that
$$
Phi(x)-Phi(x_0)=int_0^1partialPhi(x_0+t(x-x_0))(x-x_0), dttag1
$$

Hence
$$
|Phi(x)-Phi(x_0)|le |x-x_0|int_0^1|partialPhi(x_0+t(x-x_0))|, dttag2
$$

Then setting $rho(r):=max_{xin J_0}int_0^1|partialPhi(x_0+t(x-x_0))|, dt$ we find that
$$
lambda_n(Phi(J_0))le rho(r)^nlambda_n(J_0)= (rrho(r))^ntag3
$$

Now note that $|partial Phi(x_0)|lemax_{1le kle n}|lambda_k|$, where $lambda_1,ldots,lambda_n$ are the eigenvalues of $partialPhi(x)_{Bbb C}$ (where $partialPhi(x)_{Bbb C}$ is the complexification of $partialPhi(x)$).



However Im stuck here. I cant see that $lim_{rto 0^+}rho(r)=0$, what I see is that $lim_{rto 0^+}rho(r)=|partialPhi(x_0)|$, what is not necessarily zero.



Some help will be appreciated, thank you.







real-analysis measure-theory lebesgue-measure






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 27 '18 at 3:45







Masacroso

















asked Dec 27 '18 at 3:32









MasacrosoMasacroso

13.1k41747




13.1k41747












  • $begingroup$
    You need to use that $|partial Phi(x_0) - partial Phi (x_0 + t (x-x_0))|$ gets small as $tto 0$, and then you need to estimate the measure of $partial Phi (x_0) (J_0)$.
    $endgroup$
    – PhoemueX
    Dec 27 '18 at 16:48










  • $begingroup$
    @PhoemueX I dont follow what you says... Of course $|partialPhi(x_0)-partialPhi(x_0+t(x-x_0)|to 0$ as $tto 0$ because $partialPhi$ is continuous. But this can be said of any continuous derivative. By the other hand is clear that $lambda_n(partialPhi(x_0)Bbb R^n)=0$ because $partialPhi(x_0)$ is not injective. However I dont see the relation of this things with my question
    $endgroup$
    – Masacroso
    Dec 28 '18 at 6:41










  • $begingroup$
    Sorry if this is a silly question, but why do you say "$partialPhi(x_0)$ is not injective"? Is not that denoting a matrix with values, i.e. the Jacobian matrix evaluated at $x = x_0$ and hence it is non-sense to talk about injective, surjective, etc?
    $endgroup$
    – manooooh
    Dec 29 '18 at 9:06








  • 1




    $begingroup$
    @manooooh ok, I see what you are asking. The Fréchet derivative at a point of some differentiable function is a linear function, that can be represented by a matrix acting in $Bbb R^n$ (the Jacobian matrix). In this case we knows that $partialPhi(x_0)notinmathcal L{rm aut}(Bbb R^n)$, that is, it is a linear function in $Bbb R^n$ that is not an automorphism. This imply that $partialPhi(x_0)$ is not surjective, and because it is linear, then it is neither injective. This mean that the Jacobian matrix (that is a square matrix $ntimes n$) that represent this function is not invertible.
    $endgroup$
    – Masacroso
    Dec 29 '18 at 10:56




















  • $begingroup$
    You need to use that $|partial Phi(x_0) - partial Phi (x_0 + t (x-x_0))|$ gets small as $tto 0$, and then you need to estimate the measure of $partial Phi (x_0) (J_0)$.
    $endgroup$
    – PhoemueX
    Dec 27 '18 at 16:48










  • $begingroup$
    @PhoemueX I dont follow what you says... Of course $|partialPhi(x_0)-partialPhi(x_0+t(x-x_0)|to 0$ as $tto 0$ because $partialPhi$ is continuous. But this can be said of any continuous derivative. By the other hand is clear that $lambda_n(partialPhi(x_0)Bbb R^n)=0$ because $partialPhi(x_0)$ is not injective. However I dont see the relation of this things with my question
    $endgroup$
    – Masacroso
    Dec 28 '18 at 6:41










  • $begingroup$
    Sorry if this is a silly question, but why do you say "$partialPhi(x_0)$ is not injective"? Is not that denoting a matrix with values, i.e. the Jacobian matrix evaluated at $x = x_0$ and hence it is non-sense to talk about injective, surjective, etc?
    $endgroup$
    – manooooh
    Dec 29 '18 at 9:06








  • 1




    $begingroup$
    @manooooh ok, I see what you are asking. The Fréchet derivative at a point of some differentiable function is a linear function, that can be represented by a matrix acting in $Bbb R^n$ (the Jacobian matrix). In this case we knows that $partialPhi(x_0)notinmathcal L{rm aut}(Bbb R^n)$, that is, it is a linear function in $Bbb R^n$ that is not an automorphism. This imply that $partialPhi(x_0)$ is not surjective, and because it is linear, then it is neither injective. This mean that the Jacobian matrix (that is a square matrix $ntimes n$) that represent this function is not invertible.
    $endgroup$
    – Masacroso
    Dec 29 '18 at 10:56


















$begingroup$
You need to use that $|partial Phi(x_0) - partial Phi (x_0 + t (x-x_0))|$ gets small as $tto 0$, and then you need to estimate the measure of $partial Phi (x_0) (J_0)$.
$endgroup$
– PhoemueX
Dec 27 '18 at 16:48




$begingroup$
You need to use that $|partial Phi(x_0) - partial Phi (x_0 + t (x-x_0))|$ gets small as $tto 0$, and then you need to estimate the measure of $partial Phi (x_0) (J_0)$.
$endgroup$
– PhoemueX
Dec 27 '18 at 16:48












$begingroup$
@PhoemueX I dont follow what you says... Of course $|partialPhi(x_0)-partialPhi(x_0+t(x-x_0)|to 0$ as $tto 0$ because $partialPhi$ is continuous. But this can be said of any continuous derivative. By the other hand is clear that $lambda_n(partialPhi(x_0)Bbb R^n)=0$ because $partialPhi(x_0)$ is not injective. However I dont see the relation of this things with my question
$endgroup$
– Masacroso
Dec 28 '18 at 6:41




$begingroup$
@PhoemueX I dont follow what you says... Of course $|partialPhi(x_0)-partialPhi(x_0+t(x-x_0)|to 0$ as $tto 0$ because $partialPhi$ is continuous. But this can be said of any continuous derivative. By the other hand is clear that $lambda_n(partialPhi(x_0)Bbb R^n)=0$ because $partialPhi(x_0)$ is not injective. However I dont see the relation of this things with my question
$endgroup$
– Masacroso
Dec 28 '18 at 6:41












$begingroup$
Sorry if this is a silly question, but why do you say "$partialPhi(x_0)$ is not injective"? Is not that denoting a matrix with values, i.e. the Jacobian matrix evaluated at $x = x_0$ and hence it is non-sense to talk about injective, surjective, etc?
$endgroup$
– manooooh
Dec 29 '18 at 9:06






$begingroup$
Sorry if this is a silly question, but why do you say "$partialPhi(x_0)$ is not injective"? Is not that denoting a matrix with values, i.e. the Jacobian matrix evaluated at $x = x_0$ and hence it is non-sense to talk about injective, surjective, etc?
$endgroup$
– manooooh
Dec 29 '18 at 9:06






1




1




$begingroup$
@manooooh ok, I see what you are asking. The Fréchet derivative at a point of some differentiable function is a linear function, that can be represented by a matrix acting in $Bbb R^n$ (the Jacobian matrix). In this case we knows that $partialPhi(x_0)notinmathcal L{rm aut}(Bbb R^n)$, that is, it is a linear function in $Bbb R^n$ that is not an automorphism. This imply that $partialPhi(x_0)$ is not surjective, and because it is linear, then it is neither injective. This mean that the Jacobian matrix (that is a square matrix $ntimes n$) that represent this function is not invertible.
$endgroup$
– Masacroso
Dec 29 '18 at 10:56






$begingroup$
@manooooh ok, I see what you are asking. The Fréchet derivative at a point of some differentiable function is a linear function, that can be represented by a matrix acting in $Bbb R^n$ (the Jacobian matrix). In this case we knows that $partialPhi(x_0)notinmathcal L{rm aut}(Bbb R^n)$, that is, it is a linear function in $Bbb R^n$ that is not an automorphism. This imply that $partialPhi(x_0)$ is not surjective, and because it is linear, then it is neither injective. This mean that the Jacobian matrix (that is a square matrix $ntimes n$) that represent this function is not invertible.
$endgroup$
– Masacroso
Dec 29 '18 at 10:56












0






active

oldest

votes











Your Answer





StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3053568%2ftrying-to-prove-sards-lemma%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























0






active

oldest

votes








0






active

oldest

votes









active

oldest

votes






active

oldest

votes
















draft saved

draft discarded




















































Thanks for contributing an answer to Mathematics Stack Exchange!


  • Please be sure to answer the question. Provide details and share your research!

But avoid



  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.


Use MathJax to format equations. MathJax reference.


To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3053568%2ftrying-to-prove-sards-lemma%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

Wiesbaden

Marschland

Dieringhausen