How to show that change of variables is valid The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Lebesgue measure as a fixpoint: change of variables formulasProve that $f$ is Borel measurable.counterexample of Riemann-Lebesgue lemma for non-Borel functionsShow a function is Lebesgue integrable$ int_mathbbR^n f^p dx$ for $p>0$ and measurable $f$Relating Integration by Substitution to Change of Variables TheoremFunctions with a.e. Constant SectionsIs it possible to prove Fubini’s Theorem without Dynkin’s Theorem or the Monotone Class Theorem?Showing equivalence in a complex measure spaceShow that $lambda_F = lambda_(F(- infty), F(infty)]$
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How to show that change of variables is valid
The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Lebesgue measure as a fixpoint: change of variables formulasProve that $f$ is Borel measurable.counterexample of Riemann-Lebesgue lemma for non-Borel functionsShow a function is Lebesgue integrable$ int_mathbbR^n f^p dx$ for $p>0$ and measurable $f$Relating Integration by Substitution to Change of Variables TheoremFunctions with a.e. Constant SectionsIs it possible to prove Fubini’s Theorem without Dynkin’s Theorem or the Monotone Class Theorem?Showing equivalence in a complex measure spaceShow that $lambda_ (F(- infty), F(infty)] = lambda_$
$begingroup$
Let $ lambda $ denote Lebesgue measure on $ mathbb R $. Let $ xin mathbb R $, and let $ f: xmapsto f(x)in mathbb R $ be Lebesgue measurable. For Borel sets $ Bsubsetmathbb R $, define
$$ mu(B)=lambda(x:f(x)in B) .$$
It should be clear that $ mu $ is a measure, show that
$$ int_mathbb Rg(y)dmu(y)=int_mathbb R(gcirc f)(x)dlambda(x) $$
for all $ g $ such that the integrals make sense.
I am confused that if we have to prove the statement by showing from characteristic functions, non-negative functions to measurable functions like what we did in constructing Lebesgue integral? Or there is another way to prove it, i.e., by applying some theorems that I don't know?
real-analysis lebesgue-integral
$endgroup$
add a comment |
$begingroup$
Let $ lambda $ denote Lebesgue measure on $ mathbb R $. Let $ xin mathbb R $, and let $ f: xmapsto f(x)in mathbb R $ be Lebesgue measurable. For Borel sets $ Bsubsetmathbb R $, define
$$ mu(B)=lambda(x:f(x)in B) .$$
It should be clear that $ mu $ is a measure, show that
$$ int_mathbb Rg(y)dmu(y)=int_mathbb R(gcirc f)(x)dlambda(x) $$
for all $ g $ such that the integrals make sense.
I am confused that if we have to prove the statement by showing from characteristic functions, non-negative functions to measurable functions like what we did in constructing Lebesgue integral? Or there is another way to prove it, i.e., by applying some theorems that I don't know?
real-analysis lebesgue-integral
$endgroup$
2
$begingroup$
The way to go is, as you say, to first consider characteristic functions, which naturally extends to simple functions, and then to non-negative measurable functions by Monotone convergence, and finally to arbitrary measurable functions by decomposing the into the positive and negative part as usual. That is the standard proof as far as I know.
$endgroup$
– MisterRiemann
Mar 24 at 16:20
add a comment |
$begingroup$
Let $ lambda $ denote Lebesgue measure on $ mathbb R $. Let $ xin mathbb R $, and let $ f: xmapsto f(x)in mathbb R $ be Lebesgue measurable. For Borel sets $ Bsubsetmathbb R $, define
$$ mu(B)=lambda(x:f(x)in B) .$$
It should be clear that $ mu $ is a measure, show that
$$ int_mathbb Rg(y)dmu(y)=int_mathbb R(gcirc f)(x)dlambda(x) $$
for all $ g $ such that the integrals make sense.
I am confused that if we have to prove the statement by showing from characteristic functions, non-negative functions to measurable functions like what we did in constructing Lebesgue integral? Or there is another way to prove it, i.e., by applying some theorems that I don't know?
real-analysis lebesgue-integral
$endgroup$
Let $ lambda $ denote Lebesgue measure on $ mathbb R $. Let $ xin mathbb R $, and let $ f: xmapsto f(x)in mathbb R $ be Lebesgue measurable. For Borel sets $ Bsubsetmathbb R $, define
$$ mu(B)=lambda(x:f(x)in B) .$$
It should be clear that $ mu $ is a measure, show that
$$ int_mathbb Rg(y)dmu(y)=int_mathbb R(gcirc f)(x)dlambda(x) $$
for all $ g $ such that the integrals make sense.
I am confused that if we have to prove the statement by showing from characteristic functions, non-negative functions to measurable functions like what we did in constructing Lebesgue integral? Or there is another way to prove it, i.e., by applying some theorems that I don't know?
real-analysis lebesgue-integral
real-analysis lebesgue-integral
asked Mar 24 at 16:14
user549397user549397
1,6941618
1,6941618
2
$begingroup$
The way to go is, as you say, to first consider characteristic functions, which naturally extends to simple functions, and then to non-negative measurable functions by Monotone convergence, and finally to arbitrary measurable functions by decomposing the into the positive and negative part as usual. That is the standard proof as far as I know.
$endgroup$
– MisterRiemann
Mar 24 at 16:20
add a comment |
2
$begingroup$
The way to go is, as you say, to first consider characteristic functions, which naturally extends to simple functions, and then to non-negative measurable functions by Monotone convergence, and finally to arbitrary measurable functions by decomposing the into the positive and negative part as usual. That is the standard proof as far as I know.
$endgroup$
– MisterRiemann
Mar 24 at 16:20
2
2
$begingroup$
The way to go is, as you say, to first consider characteristic functions, which naturally extends to simple functions, and then to non-negative measurable functions by Monotone convergence, and finally to arbitrary measurable functions by decomposing the into the positive and negative part as usual. That is the standard proof as far as I know.
$endgroup$
– MisterRiemann
Mar 24 at 16:20
$begingroup$
The way to go is, as you say, to first consider characteristic functions, which naturally extends to simple functions, and then to non-negative measurable functions by Monotone convergence, and finally to arbitrary measurable functions by decomposing the into the positive and negative part as usual. That is the standard proof as far as I know.
$endgroup$
– MisterRiemann
Mar 24 at 16:20
add a comment |
0
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$begingroup$
The way to go is, as you say, to first consider characteristic functions, which naturally extends to simple functions, and then to non-negative measurable functions by Monotone convergence, and finally to arbitrary measurable functions by decomposing the into the positive and negative part as usual. That is the standard proof as far as I know.
$endgroup$
– MisterRiemann
Mar 24 at 16:20