Estimate/inequality releated to the Hausdorff measure












0












$begingroup$


Define the diameter of a subset $Y subseteq mathbb R^n$ of the metric space $(mathbb R^n, d)$ with the standard metric $d$ to be



$$operatorname{diam}(Y) := sup_{mathbf x,mathbf y in Y} d(mathbf x, mathbf y).$$



Now define the ball $B_r(mathbf y) := { mathbf x in mathbb R^n : d(mathbf x, mathbf y) leq r}$ and consider the ball



$A := B_r(mathbf 0)$ and a cover ${A_k}_{kgeq 1} supset A$, which don't have to be optimal (a cover here only need to satisfy $Asubset bigcup_{kgeq 1} A_k$).



The actual claim we proved in class was that the (outer) Hausdorff $n$-dimensional measure (here: $ninmathbb N$) is defined on the same $sigma$-algebra as the $n$-dimensional Lebesgue measure, and that they agreed up to a constant $C(n)$ depending on $n$.



Doing so, we used the inequality



$$displaystylesum_{kgeq 1} operatorname{diam}(A_k)^n geq (2r)^n$$



valid for any cover ${A_k}_{kgeq 1}$ to $A$ satisfying



$$operatorname{diam}(A_k) < 2r ; ; forall k$$



How can one prove this inequality?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Can't you just use that $|A_k| le c_n text{diam}(A_k)^n$, where $c_n$ is s.t. $|A| = c_n (2r)^n$?
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:01












  • $begingroup$
    @mathworker21 What do you mean by |A| here?
    $endgroup$
    – Markus Klyver
    Nov 27 '18 at 19:15










  • $begingroup$
    Lebesgue measure of $A$
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:16


















0












$begingroup$


Define the diameter of a subset $Y subseteq mathbb R^n$ of the metric space $(mathbb R^n, d)$ with the standard metric $d$ to be



$$operatorname{diam}(Y) := sup_{mathbf x,mathbf y in Y} d(mathbf x, mathbf y).$$



Now define the ball $B_r(mathbf y) := { mathbf x in mathbb R^n : d(mathbf x, mathbf y) leq r}$ and consider the ball



$A := B_r(mathbf 0)$ and a cover ${A_k}_{kgeq 1} supset A$, which don't have to be optimal (a cover here only need to satisfy $Asubset bigcup_{kgeq 1} A_k$).



The actual claim we proved in class was that the (outer) Hausdorff $n$-dimensional measure (here: $ninmathbb N$) is defined on the same $sigma$-algebra as the $n$-dimensional Lebesgue measure, and that they agreed up to a constant $C(n)$ depending on $n$.



Doing so, we used the inequality



$$displaystylesum_{kgeq 1} operatorname{diam}(A_k)^n geq (2r)^n$$



valid for any cover ${A_k}_{kgeq 1}$ to $A$ satisfying



$$operatorname{diam}(A_k) < 2r ; ; forall k$$



How can one prove this inequality?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Can't you just use that $|A_k| le c_n text{diam}(A_k)^n$, where $c_n$ is s.t. $|A| = c_n (2r)^n$?
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:01












  • $begingroup$
    @mathworker21 What do you mean by |A| here?
    $endgroup$
    – Markus Klyver
    Nov 27 '18 at 19:15










  • $begingroup$
    Lebesgue measure of $A$
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:16
















0












0








0





$begingroup$


Define the diameter of a subset $Y subseteq mathbb R^n$ of the metric space $(mathbb R^n, d)$ with the standard metric $d$ to be



$$operatorname{diam}(Y) := sup_{mathbf x,mathbf y in Y} d(mathbf x, mathbf y).$$



Now define the ball $B_r(mathbf y) := { mathbf x in mathbb R^n : d(mathbf x, mathbf y) leq r}$ and consider the ball



$A := B_r(mathbf 0)$ and a cover ${A_k}_{kgeq 1} supset A$, which don't have to be optimal (a cover here only need to satisfy $Asubset bigcup_{kgeq 1} A_k$).



The actual claim we proved in class was that the (outer) Hausdorff $n$-dimensional measure (here: $ninmathbb N$) is defined on the same $sigma$-algebra as the $n$-dimensional Lebesgue measure, and that they agreed up to a constant $C(n)$ depending on $n$.



Doing so, we used the inequality



$$displaystylesum_{kgeq 1} operatorname{diam}(A_k)^n geq (2r)^n$$



valid for any cover ${A_k}_{kgeq 1}$ to $A$ satisfying



$$operatorname{diam}(A_k) < 2r ; ; forall k$$



How can one prove this inequality?










share|cite|improve this question











$endgroup$




Define the diameter of a subset $Y subseteq mathbb R^n$ of the metric space $(mathbb R^n, d)$ with the standard metric $d$ to be



$$operatorname{diam}(Y) := sup_{mathbf x,mathbf y in Y} d(mathbf x, mathbf y).$$



Now define the ball $B_r(mathbf y) := { mathbf x in mathbb R^n : d(mathbf x, mathbf y) leq r}$ and consider the ball



$A := B_r(mathbf 0)$ and a cover ${A_k}_{kgeq 1} supset A$, which don't have to be optimal (a cover here only need to satisfy $Asubset bigcup_{kgeq 1} A_k$).



The actual claim we proved in class was that the (outer) Hausdorff $n$-dimensional measure (here: $ninmathbb N$) is defined on the same $sigma$-algebra as the $n$-dimensional Lebesgue measure, and that they agreed up to a constant $C(n)$ depending on $n$.



Doing so, we used the inequality



$$displaystylesum_{kgeq 1} operatorname{diam}(A_k)^n geq (2r)^n$$



valid for any cover ${A_k}_{kgeq 1}$ to $A$ satisfying



$$operatorname{diam}(A_k) < 2r ; ; forall k$$



How can one prove this inequality?







measure-theory fractals geometric-measure-theory hausdorff-measure






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 27 '18 at 19:48









Xander Henderson

14.3k103554




14.3k103554










asked Nov 27 '18 at 18:55









Markus KlyverMarkus Klyver

390314




390314












  • $begingroup$
    Can't you just use that $|A_k| le c_n text{diam}(A_k)^n$, where $c_n$ is s.t. $|A| = c_n (2r)^n$?
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:01












  • $begingroup$
    @mathworker21 What do you mean by |A| here?
    $endgroup$
    – Markus Klyver
    Nov 27 '18 at 19:15










  • $begingroup$
    Lebesgue measure of $A$
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:16




















  • $begingroup$
    Can't you just use that $|A_k| le c_n text{diam}(A_k)^n$, where $c_n$ is s.t. $|A| = c_n (2r)^n$?
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:01












  • $begingroup$
    @mathworker21 What do you mean by |A| here?
    $endgroup$
    – Markus Klyver
    Nov 27 '18 at 19:15










  • $begingroup$
    Lebesgue measure of $A$
    $endgroup$
    – mathworker21
    Nov 27 '18 at 19:16


















$begingroup$
Can't you just use that $|A_k| le c_n text{diam}(A_k)^n$, where $c_n$ is s.t. $|A| = c_n (2r)^n$?
$endgroup$
– mathworker21
Nov 27 '18 at 19:01






$begingroup$
Can't you just use that $|A_k| le c_n text{diam}(A_k)^n$, where $c_n$ is s.t. $|A| = c_n (2r)^n$?
$endgroup$
– mathworker21
Nov 27 '18 at 19:01














$begingroup$
@mathworker21 What do you mean by |A| here?
$endgroup$
– Markus Klyver
Nov 27 '18 at 19:15




$begingroup$
@mathworker21 What do you mean by |A| here?
$endgroup$
– Markus Klyver
Nov 27 '18 at 19:15












$begingroup$
Lebesgue measure of $A$
$endgroup$
– mathworker21
Nov 27 '18 at 19:16






$begingroup$
Lebesgue measure of $A$
$endgroup$
– mathworker21
Nov 27 '18 at 19:16












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