$dnu =f,dmu$ 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)













0












$begingroup$


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.










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    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.










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      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.










      share|cite|improve this question









      $endgroup$




      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






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 12 at 20:20









      HCSHCS

      607




      607




















          1 Answer
          1






          active

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          1












          $begingroup$

          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, $dnu=fg,dlambda$.






          share|cite|improve this answer











          $endgroup$












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            $begingroup$

            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, $dnu=fg,dlambda$.






            share|cite|improve this answer











            $endgroup$

















              1












              $begingroup$

              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, $dnu=fg,dlambda$.






              share|cite|improve this answer











              $endgroup$















                1












                1








                1





                $begingroup$

                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, $dnu=fg,dlambda$.






                share|cite|improve this answer











                $endgroup$



                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, $dnu=fg,dlambda$.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Mar 12 at 21:52

























                answered Mar 12 at 21:34









                Danny Pak-Keung ChanDanny Pak-Keung Chan

                2,50938




                2,50938



























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