$dnu =f,dmu$ and $dmu=g,dlambda$ implies $dnu=fg,dlambda$Problem concerning a necessary and sufficient condition for Lebesgue integrabilityQuestions on Fubini's Theorem and $sigma$-finite measure?If $mu, nu$ are measures on $(X,M)$ and $nu$ is $sigma$-finite, and $mu = nu + lambda$, then $lambda$ is uniqueLet $f: [0,infty) to mathbb R$ be a $lambda$-integrable function such that $int_[0,t] fdlambda =0$ for all $tge 0$. Prove that $f=0$ a.e.Simple proof of uniqueness of Lebesgue Decomposition?Why does $int f_n dlambda$ not converge to zero??Finding a non-negative Lebesgue measurable function such that $||f_n ||_2 rightarrow infty$ and $||sqrtf_n||_2leq 1$.Are Dynkin's $pi-lambda$ Theorem and the Monotone Class Theorem equivalent?How does $dphi =dlambda+wdmu$ define a measure $phi$?Understanding Proposition 3.9 Folland Part 2 (Radon-Nikodym Derivative)
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$dnu =f,dmu$ and $dmu=g,dlambda$ implies $dnu=fg,dlambda$
Problem concerning a necessary and sufficient condition for Lebesgue integrabilityQuestions on Fubini's Theorem and $sigma$-finite measure?If $mu, nu$ are measures on $(X,M)$ and $nu$ is $sigma$-finite, and $mu = nu + lambda$, then $lambda$ is uniqueLet $f: [0,infty) to mathbb R$ be a $lambda$-integrable function such that $int_[0,t] fdlambda =0$ for all $tge 0$. Prove that $f=0$ a.e.Simple proof of uniqueness of Lebesgue Decomposition?Why does $int f_n dlambda$ not converge to zero??Finding a non-negative Lebesgue measurable function such that $||f_n ||_2 rightarrow infty$ and $||sqrtf_n||_2leq 1$.Are Dynkin's $pi-lambda$ Theorem and the Monotone Class Theorem equivalent?How does $dphi =dlambda+wdmu$ define a measure $phi$?Understanding Proposition 3.9 Folland Part 2 (Radon-Nikodym Derivative)
$begingroup$
The full question is
Let $nu$ be a $sigma$-finite signed measure, and let $mu, lambda$ be $sigma$-finite
positive measures on $(X, Sigma)$. Show that $nu ll mu$ and $mu ll lambda implies nu ll lambda.$ Further, show that if $dnu =f,dmu$ and $dmu=g,dlambda$, then $dnu=fg,dlambda$
I found the first part pretty straight forward. However, I'm finding the second part a bit trickier.
I was given the hint of expressing $X$ as a union increasing nested sequence of sets. So $X_1 subseteq X_2 subseteq ...$ such that $X = cup X_n$. Then using simple functions so that $Psi_k=f*chi_X_knearrow f$. Here, $chi$ is the characteristic function. Then using the monotone convergence theorem for $intPsi_k ,dmu nearrow int f,dmu$.
I feel like there could be an easier way to show this.
real-analysis analysis measure-theory radon-nikodym
$endgroup$
add a comment |
$begingroup$
The full question is
Let $nu$ be a $sigma$-finite signed measure, and let $mu, lambda$ be $sigma$-finite
positive measures on $(X, Sigma)$. Show that $nu ll mu$ and $mu ll lambda implies nu ll lambda.$ Further, show that if $dnu =f,dmu$ and $dmu=g,dlambda$, then $dnu=fg,dlambda$
I found the first part pretty straight forward. However, I'm finding the second part a bit trickier.
I was given the hint of expressing $X$ as a union increasing nested sequence of sets. So $X_1 subseteq X_2 subseteq ...$ such that $X = cup X_n$. Then using simple functions so that $Psi_k=f*chi_X_knearrow f$. Here, $chi$ is the characteristic function. Then using the monotone convergence theorem for $intPsi_k ,dmu nearrow int f,dmu$.
I feel like there could be an easier way to show this.
real-analysis analysis measure-theory radon-nikodym
$endgroup$
add a comment |
$begingroup$
The full question is
Let $nu$ be a $sigma$-finite signed measure, and let $mu, lambda$ be $sigma$-finite
positive measures on $(X, Sigma)$. Show that $nu ll mu$ and $mu ll lambda implies nu ll lambda.$ Further, show that if $dnu =f,dmu$ and $dmu=g,dlambda$, then $dnu=fg,dlambda$
I found the first part pretty straight forward. However, I'm finding the second part a bit trickier.
I was given the hint of expressing $X$ as a union increasing nested sequence of sets. So $X_1 subseteq X_2 subseteq ...$ such that $X = cup X_n$. Then using simple functions so that $Psi_k=f*chi_X_knearrow f$. Here, $chi$ is the characteristic function. Then using the monotone convergence theorem for $intPsi_k ,dmu nearrow int f,dmu$.
I feel like there could be an easier way to show this.
real-analysis analysis measure-theory radon-nikodym
$endgroup$
The full question is
Let $nu$ be a $sigma$-finite signed measure, and let $mu, lambda$ be $sigma$-finite
positive measures on $(X, Sigma)$. Show that $nu ll mu$ and $mu ll lambda implies nu ll lambda.$ Further, show that if $dnu =f,dmu$ and $dmu=g,dlambda$, then $dnu=fg,dlambda$
I found the first part pretty straight forward. However, I'm finding the second part a bit trickier.
I was given the hint of expressing $X$ as a union increasing nested sequence of sets. So $X_1 subseteq X_2 subseteq ...$ such that $X = cup X_n$. Then using simple functions so that $Psi_k=f*chi_X_knearrow f$. Here, $chi$ is the characteristic function. Then using the monotone convergence theorem for $intPsi_k ,dmu nearrow int f,dmu$.
I feel like there could be an easier way to show this.
real-analysis analysis measure-theory radon-nikodym
real-analysis analysis measure-theory radon-nikodym
asked Mar 12 at 20:20
HCSHCS
607
607
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
We go to show that $intphi,dmu=intphi g,dlambda$ for any
non-negative measurable function $phi:Xrightarrow[0,infty]$. Clearly,
if $phi=1_A$ for some $AinSigma$, the equation holds (by the
very definitino of $dmu=g,dlambda$). By linearity on both sides,
the equation holds for all non-negative simple functions $phi$.
Now let $phi:Xrightarrow[0,infty]$ be a measurable function. Then
there exists a sequence of simple functions $(phi_n)$ such that
$0leqphi_1leqphi_2leqldotsleqphi$ and $phi_nrightarrowphi$
pointwisely. Note that $ggeq0$, so we also have $phi_ngnearrowphi g$.
By applying the Monotone Convergence Theorem twice, we have
begineqnarray*
intphi,dmu & = & lim_nintphi_n,dmu\
& = & lim_nintphi_ng,dlambda\
& = & intphi g,dlambda.
endeqnarray*
We assert that $intphi,dmu=intphi g,dlambda$ for any measurable
function $phi:Xrightarrow[-infty,infty]$ that satisfies the condition:
$intphi^+,dmu<infty$ or $intphi^-,dmu<infty$, where
$phi^+=max(phi,0)$ and $phi^-=max(-phi,0)$.
Proof: Given such $phi$, we write $phi=phi^+-phi^-$. Since
at least one of $intphi^+,dmu$, $intphi^-,dmu$ is finite,
we would not encounter $infty-infty$. By linearity, we have
begineqnarray*
intphi,dmu & = & intphi^+,dmu-intphi^-,dmu\
& = & intphi^+g,dlambda-intphi^-g,dlambda\
& = & int(phi^+-phi^-)g,dlambda\
& = & intphi g,dlambda.
endeqnarray*
Note that for signed measure $nu$, it is well-known that $nu^+=f^+dmu$
and $nu^-=f^-dmu$. Moreover, it is required that $nu^+(X)<infty$
or $nu^-(X)<infty$.
In particular, for any $AinSigma$,
begineqnarray*
nu(A) & = & int_Af,dmu\
& & int(f1_A),dmu\
& = & int(f1_A)g,dlambda\
& = & int_Afg,dlambda,
endeqnarray*
by observing that $int (f1_A)^+ ,dmu <infty$ or $int (f1_A)^- ,dmu<infty$.
That is, $dnu=fg,dlambda$.
$endgroup$
add a comment |
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1 Answer
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1 Answer
1
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oldest
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active
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active
oldest
votes
$begingroup$
We go to show that $intphi,dmu=intphi g,dlambda$ for any
non-negative measurable function $phi:Xrightarrow[0,infty]$. Clearly,
if $phi=1_A$ for some $AinSigma$, the equation holds (by the
very definitino of $dmu=g,dlambda$). By linearity on both sides,
the equation holds for all non-negative simple functions $phi$.
Now let $phi:Xrightarrow[0,infty]$ be a measurable function. Then
there exists a sequence of simple functions $(phi_n)$ such that
$0leqphi_1leqphi_2leqldotsleqphi$ and $phi_nrightarrowphi$
pointwisely. Note that $ggeq0$, so we also have $phi_ngnearrowphi g$.
By applying the Monotone Convergence Theorem twice, we have
begineqnarray*
intphi,dmu & = & lim_nintphi_n,dmu\
& = & lim_nintphi_ng,dlambda\
& = & intphi g,dlambda.
endeqnarray*
We assert that $intphi,dmu=intphi g,dlambda$ for any measurable
function $phi:Xrightarrow[-infty,infty]$ that satisfies the condition:
$intphi^+,dmu<infty$ or $intphi^-,dmu<infty$, where
$phi^+=max(phi,0)$ and $phi^-=max(-phi,0)$.
Proof: Given such $phi$, we write $phi=phi^+-phi^-$. Since
at least one of $intphi^+,dmu$, $intphi^-,dmu$ is finite,
we would not encounter $infty-infty$. By linearity, we have
begineqnarray*
intphi,dmu & = & intphi^+,dmu-intphi^-,dmu\
& = & intphi^+g,dlambda-intphi^-g,dlambda\
& = & int(phi^+-phi^-)g,dlambda\
& = & intphi g,dlambda.
endeqnarray*
Note that for signed measure $nu$, it is well-known that $nu^+=f^+dmu$
and $nu^-=f^-dmu$. Moreover, it is required that $nu^+(X)<infty$
or $nu^-(X)<infty$.
In particular, for any $AinSigma$,
begineqnarray*
nu(A) & = & int_Af,dmu\
& & int(f1_A),dmu\
& = & int(f1_A)g,dlambda\
& = & int_Afg,dlambda,
endeqnarray*
by observing that $int (f1_A)^+ ,dmu <infty$ or $int (f1_A)^- ,dmu<infty$.
That is, $dnu=fg,dlambda$.
$endgroup$
add a comment |
$begingroup$
We go to show that $intphi,dmu=intphi g,dlambda$ for any
non-negative measurable function $phi:Xrightarrow[0,infty]$. Clearly,
if $phi=1_A$ for some $AinSigma$, the equation holds (by the
very definitino of $dmu=g,dlambda$). By linearity on both sides,
the equation holds for all non-negative simple functions $phi$.
Now let $phi:Xrightarrow[0,infty]$ be a measurable function. Then
there exists a sequence of simple functions $(phi_n)$ such that
$0leqphi_1leqphi_2leqldotsleqphi$ and $phi_nrightarrowphi$
pointwisely. Note that $ggeq0$, so we also have $phi_ngnearrowphi g$.
By applying the Monotone Convergence Theorem twice, we have
begineqnarray*
intphi,dmu & = & lim_nintphi_n,dmu\
& = & lim_nintphi_ng,dlambda\
& = & intphi g,dlambda.
endeqnarray*
We assert that $intphi,dmu=intphi g,dlambda$ for any measurable
function $phi:Xrightarrow[-infty,infty]$ that satisfies the condition:
$intphi^+,dmu<infty$ or $intphi^-,dmu<infty$, where
$phi^+=max(phi,0)$ and $phi^-=max(-phi,0)$.
Proof: Given such $phi$, we write $phi=phi^+-phi^-$. Since
at least one of $intphi^+,dmu$, $intphi^-,dmu$ is finite,
we would not encounter $infty-infty$. By linearity, we have
begineqnarray*
intphi,dmu & = & intphi^+,dmu-intphi^-,dmu\
& = & intphi^+g,dlambda-intphi^-g,dlambda\
& = & int(phi^+-phi^-)g,dlambda\
& = & intphi g,dlambda.
endeqnarray*
Note that for signed measure $nu$, it is well-known that $nu^+=f^+dmu$
and $nu^-=f^-dmu$. Moreover, it is required that $nu^+(X)<infty$
or $nu^-(X)<infty$.
In particular, for any $AinSigma$,
begineqnarray*
nu(A) & = & int_Af,dmu\
& & int(f1_A),dmu\
& = & int(f1_A)g,dlambda\
& = & int_Afg,dlambda,
endeqnarray*
by observing that $int (f1_A)^+ ,dmu <infty$ or $int (f1_A)^- ,dmu<infty$.
That is, $dnu=fg,dlambda$.
$endgroup$
add a comment |
$begingroup$
We go to show that $intphi,dmu=intphi g,dlambda$ for any
non-negative measurable function $phi:Xrightarrow[0,infty]$. Clearly,
if $phi=1_A$ for some $AinSigma$, the equation holds (by the
very definitino of $dmu=g,dlambda$). By linearity on both sides,
the equation holds for all non-negative simple functions $phi$.
Now let $phi:Xrightarrow[0,infty]$ be a measurable function. Then
there exists a sequence of simple functions $(phi_n)$ such that
$0leqphi_1leqphi_2leqldotsleqphi$ and $phi_nrightarrowphi$
pointwisely. Note that $ggeq0$, so we also have $phi_ngnearrowphi g$.
By applying the Monotone Convergence Theorem twice, we have
begineqnarray*
intphi,dmu & = & lim_nintphi_n,dmu\
& = & lim_nintphi_ng,dlambda\
& = & intphi g,dlambda.
endeqnarray*
We assert that $intphi,dmu=intphi g,dlambda$ for any measurable
function $phi:Xrightarrow[-infty,infty]$ that satisfies the condition:
$intphi^+,dmu<infty$ or $intphi^-,dmu<infty$, where
$phi^+=max(phi,0)$ and $phi^-=max(-phi,0)$.
Proof: Given such $phi$, we write $phi=phi^+-phi^-$. Since
at least one of $intphi^+,dmu$, $intphi^-,dmu$ is finite,
we would not encounter $infty-infty$. By linearity, we have
begineqnarray*
intphi,dmu & = & intphi^+,dmu-intphi^-,dmu\
& = & intphi^+g,dlambda-intphi^-g,dlambda\
& = & int(phi^+-phi^-)g,dlambda\
& = & intphi g,dlambda.
endeqnarray*
Note that for signed measure $nu$, it is well-known that $nu^+=f^+dmu$
and $nu^-=f^-dmu$. Moreover, it is required that $nu^+(X)<infty$
or $nu^-(X)<infty$.
In particular, for any $AinSigma$,
begineqnarray*
nu(A) & = & int_Af,dmu\
& & int(f1_A),dmu\
& = & int(f1_A)g,dlambda\
& = & int_Afg,dlambda,
endeqnarray*
by observing that $int (f1_A)^+ ,dmu <infty$ or $int (f1_A)^- ,dmu<infty$.
That is, $dnu=fg,dlambda$.
$endgroup$
We go to show that $intphi,dmu=intphi g,dlambda$ for any
non-negative measurable function $phi:Xrightarrow[0,infty]$. Clearly,
if $phi=1_A$ for some $AinSigma$, the equation holds (by the
very definitino of $dmu=g,dlambda$). By linearity on both sides,
the equation holds for all non-negative simple functions $phi$.
Now let $phi:Xrightarrow[0,infty]$ be a measurable function. Then
there exists a sequence of simple functions $(phi_n)$ such that
$0leqphi_1leqphi_2leqldotsleqphi$ and $phi_nrightarrowphi$
pointwisely. Note that $ggeq0$, so we also have $phi_ngnearrowphi g$.
By applying the Monotone Convergence Theorem twice, we have
begineqnarray*
intphi,dmu & = & lim_nintphi_n,dmu\
& = & lim_nintphi_ng,dlambda\
& = & intphi g,dlambda.
endeqnarray*
We assert that $intphi,dmu=intphi g,dlambda$ for any measurable
function $phi:Xrightarrow[-infty,infty]$ that satisfies the condition:
$intphi^+,dmu<infty$ or $intphi^-,dmu<infty$, where
$phi^+=max(phi,0)$ and $phi^-=max(-phi,0)$.
Proof: Given such $phi$, we write $phi=phi^+-phi^-$. Since
at least one of $intphi^+,dmu$, $intphi^-,dmu$ is finite,
we would not encounter $infty-infty$. By linearity, we have
begineqnarray*
intphi,dmu & = & intphi^+,dmu-intphi^-,dmu\
& = & intphi^+g,dlambda-intphi^-g,dlambda\
& = & int(phi^+-phi^-)g,dlambda\
& = & intphi g,dlambda.
endeqnarray*
Note that for signed measure $nu$, it is well-known that $nu^+=f^+dmu$
and $nu^-=f^-dmu$. Moreover, it is required that $nu^+(X)<infty$
or $nu^-(X)<infty$.
In particular, for any $AinSigma$,
begineqnarray*
nu(A) & = & int_Af,dmu\
& & int(f1_A),dmu\
& = & int(f1_A)g,dlambda\
& = & int_Afg,dlambda,
endeqnarray*
by observing that $int (f1_A)^+ ,dmu <infty$ or $int (f1_A)^- ,dmu<infty$.
That is, $dnu=fg,dlambda$.
edited Mar 12 at 21:52
answered Mar 12 at 21:34
Danny Pak-Keung ChanDanny Pak-Keung Chan
2,50938
2,50938
add a comment |
add a comment |
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