Mutually singular complex measures implies mutual singularity of total variation











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This is an exercise from Folland. It is exercise 3.19



The question: Prove for complex measures $mu$ and $nu$ that $nuperp mu$ iff $vert nu vertperp vert mu vert$.



The $(Leftarrow)$ direction is a very simple consequence of the fact that $vert nu(E)vertleq vert nu vert (E)$ for any complex measure $nu$. The other direction is the direction I am struggling with.



For a complex measure $nu$, I am using the definition of $vert nu vert$ which says $vert nu vert$ is the measure which is determined by if $dnu=fdmu$ for $mu$ a positive measure, then $dvert nu vert=vert f vert dmu$



There doesn't seem to be a lot we can use. First we see, by definition, that $nu perp mu$ gives rise to the following



$nu_iperp mu_i$



$nu_iperp mu_r$



$nu_r perp mu_i$



$nu_r perp mu_r$



Though this doesn't give me a lot to work with, as I don't have a way of expressing $vert nu vert$ in terms of $nu_i$ and $nu_r$...I would prefer a hint to a complete answer.










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    This is an exercise from Folland. It is exercise 3.19



    The question: Prove for complex measures $mu$ and $nu$ that $nuperp mu$ iff $vert nu vertperp vert mu vert$.



    The $(Leftarrow)$ direction is a very simple consequence of the fact that $vert nu(E)vertleq vert nu vert (E)$ for any complex measure $nu$. The other direction is the direction I am struggling with.



    For a complex measure $nu$, I am using the definition of $vert nu vert$ which says $vert nu vert$ is the measure which is determined by if $dnu=fdmu$ for $mu$ a positive measure, then $dvert nu vert=vert f vert dmu$



    There doesn't seem to be a lot we can use. First we see, by definition, that $nu perp mu$ gives rise to the following



    $nu_iperp mu_i$



    $nu_iperp mu_r$



    $nu_r perp mu_i$



    $nu_r perp mu_r$



    Though this doesn't give me a lot to work with, as I don't have a way of expressing $vert nu vert$ in terms of $nu_i$ and $nu_r$...I would prefer a hint to a complete answer.










    share|cite|improve this question
























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      up vote
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      favorite











      This is an exercise from Folland. It is exercise 3.19



      The question: Prove for complex measures $mu$ and $nu$ that $nuperp mu$ iff $vert nu vertperp vert mu vert$.



      The $(Leftarrow)$ direction is a very simple consequence of the fact that $vert nu(E)vertleq vert nu vert (E)$ for any complex measure $nu$. The other direction is the direction I am struggling with.



      For a complex measure $nu$, I am using the definition of $vert nu vert$ which says $vert nu vert$ is the measure which is determined by if $dnu=fdmu$ for $mu$ a positive measure, then $dvert nu vert=vert f vert dmu$



      There doesn't seem to be a lot we can use. First we see, by definition, that $nu perp mu$ gives rise to the following



      $nu_iperp mu_i$



      $nu_iperp mu_r$



      $nu_r perp mu_i$



      $nu_r perp mu_r$



      Though this doesn't give me a lot to work with, as I don't have a way of expressing $vert nu vert$ in terms of $nu_i$ and $nu_r$...I would prefer a hint to a complete answer.










      share|cite|improve this question













      This is an exercise from Folland. It is exercise 3.19



      The question: Prove for complex measures $mu$ and $nu$ that $nuperp mu$ iff $vert nu vertperp vert mu vert$.



      The $(Leftarrow)$ direction is a very simple consequence of the fact that $vert nu(E)vertleq vert nu vert (E)$ for any complex measure $nu$. The other direction is the direction I am struggling with.



      For a complex measure $nu$, I am using the definition of $vert nu vert$ which says $vert nu vert$ is the measure which is determined by if $dnu=fdmu$ for $mu$ a positive measure, then $dvert nu vert=vert f vert dmu$



      There doesn't seem to be a lot we can use. First we see, by definition, that $nu perp mu$ gives rise to the following



      $nu_iperp mu_i$



      $nu_iperp mu_r$



      $nu_r perp mu_i$



      $nu_r perp mu_r$



      Though this doesn't give me a lot to work with, as I don't have a way of expressing $vert nu vert$ in terms of $nu_i$ and $nu_r$...I would prefer a hint to a complete answer.







      real-analysis measure-theory






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      asked Nov 23 at 22:43









      Damo

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          Full solution. Write $nu = f cdot rho$ and $mu = g cdot sigma,$ where $rho$ and $sigma$ are positive measures, here I use the common notation $(f cdot rho)(mathrm{X}) = intlimits_{mathrm{X}} f drho$ and similar for other cases. Consider the positive measure $tau = rho + sigma$ and the Lebesgue-Nikodym theorem asserts that $rho ll tau$ and $sigma ll tau$ so that $nu = f_0 cdot tau$ and $mu = g_0 cdot tau.$ Then, $|nu| = |f_0| cdot tau$ and $|mu| = |g_0| cdot tau.$ the hypothesis $nu perp mu$ signifies then $f_0 g_0 = 0$ for almost every point with respect to $tau,$ hence $|f_0| |g_0| = 0$ for almost every point with respect to $tau,$ and this is the same as saying $|nu| perp |mu|.$ Q.E.D.






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            I don't have Folland's book and I will use the definitions in Rudin's book. $mu perp nu$ means there exist disjoint measurable sets $A,B$ such that $mu$ is concentrated on $A$ and $nu$ is concentrated on $B$. $mu$ is concentrated on $A$ and means $mu (E)=0$ for every measurable set $E subset A^{c}$. Hence $|mu| (E) =sup {sum |mu (E_n)|: {E_n} text {is a partition of } E}=0$ for every measurable set $E subset A^{c}$. (Because $mu (E_n)=0$ for every $n$). Hence $|mu |(A^{c})=0$. Similarly, $|nu |(B^{c})=0$. Hence $|mu| perp |nu|$.






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              2 Answers
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              active

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              2 Answers
              2






              active

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              active

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              active

              oldest

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              up vote
              1
              down vote



              accepted










              Full solution. Write $nu = f cdot rho$ and $mu = g cdot sigma,$ where $rho$ and $sigma$ are positive measures, here I use the common notation $(f cdot rho)(mathrm{X}) = intlimits_{mathrm{X}} f drho$ and similar for other cases. Consider the positive measure $tau = rho + sigma$ and the Lebesgue-Nikodym theorem asserts that $rho ll tau$ and $sigma ll tau$ so that $nu = f_0 cdot tau$ and $mu = g_0 cdot tau.$ Then, $|nu| = |f_0| cdot tau$ and $|mu| = |g_0| cdot tau.$ the hypothesis $nu perp mu$ signifies then $f_0 g_0 = 0$ for almost every point with respect to $tau,$ hence $|f_0| |g_0| = 0$ for almost every point with respect to $tau,$ and this is the same as saying $|nu| perp |mu|.$ Q.E.D.






              share|cite|improve this answer

























                up vote
                1
                down vote



                accepted










                Full solution. Write $nu = f cdot rho$ and $mu = g cdot sigma,$ where $rho$ and $sigma$ are positive measures, here I use the common notation $(f cdot rho)(mathrm{X}) = intlimits_{mathrm{X}} f drho$ and similar for other cases. Consider the positive measure $tau = rho + sigma$ and the Lebesgue-Nikodym theorem asserts that $rho ll tau$ and $sigma ll tau$ so that $nu = f_0 cdot tau$ and $mu = g_0 cdot tau.$ Then, $|nu| = |f_0| cdot tau$ and $|mu| = |g_0| cdot tau.$ the hypothesis $nu perp mu$ signifies then $f_0 g_0 = 0$ for almost every point with respect to $tau,$ hence $|f_0| |g_0| = 0$ for almost every point with respect to $tau,$ and this is the same as saying $|nu| perp |mu|.$ Q.E.D.






                share|cite|improve this answer























                  up vote
                  1
                  down vote



                  accepted







                  up vote
                  1
                  down vote



                  accepted






                  Full solution. Write $nu = f cdot rho$ and $mu = g cdot sigma,$ where $rho$ and $sigma$ are positive measures, here I use the common notation $(f cdot rho)(mathrm{X}) = intlimits_{mathrm{X}} f drho$ and similar for other cases. Consider the positive measure $tau = rho + sigma$ and the Lebesgue-Nikodym theorem asserts that $rho ll tau$ and $sigma ll tau$ so that $nu = f_0 cdot tau$ and $mu = g_0 cdot tau.$ Then, $|nu| = |f_0| cdot tau$ and $|mu| = |g_0| cdot tau.$ the hypothesis $nu perp mu$ signifies then $f_0 g_0 = 0$ for almost every point with respect to $tau,$ hence $|f_0| |g_0| = 0$ for almost every point with respect to $tau,$ and this is the same as saying $|nu| perp |mu|.$ Q.E.D.






                  share|cite|improve this answer












                  Full solution. Write $nu = f cdot rho$ and $mu = g cdot sigma,$ where $rho$ and $sigma$ are positive measures, here I use the common notation $(f cdot rho)(mathrm{X}) = intlimits_{mathrm{X}} f drho$ and similar for other cases. Consider the positive measure $tau = rho + sigma$ and the Lebesgue-Nikodym theorem asserts that $rho ll tau$ and $sigma ll tau$ so that $nu = f_0 cdot tau$ and $mu = g_0 cdot tau.$ Then, $|nu| = |f_0| cdot tau$ and $|mu| = |g_0| cdot tau.$ the hypothesis $nu perp mu$ signifies then $f_0 g_0 = 0$ for almost every point with respect to $tau,$ hence $|f_0| |g_0| = 0$ for almost every point with respect to $tau,$ and this is the same as saying $|nu| perp |mu|.$ Q.E.D.







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                  answered Nov 23 at 23:30









                  Will M.

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                  2,124213






















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                      I don't have Folland's book and I will use the definitions in Rudin's book. $mu perp nu$ means there exist disjoint measurable sets $A,B$ such that $mu$ is concentrated on $A$ and $nu$ is concentrated on $B$. $mu$ is concentrated on $A$ and means $mu (E)=0$ for every measurable set $E subset A^{c}$. Hence $|mu| (E) =sup {sum |mu (E_n)|: {E_n} text {is a partition of } E}=0$ for every measurable set $E subset A^{c}$. (Because $mu (E_n)=0$ for every $n$). Hence $|mu |(A^{c})=0$. Similarly, $|nu |(B^{c})=0$. Hence $|mu| perp |nu|$.






                      share|cite|improve this answer

























                        up vote
                        1
                        down vote













                        I don't have Folland's book and I will use the definitions in Rudin's book. $mu perp nu$ means there exist disjoint measurable sets $A,B$ such that $mu$ is concentrated on $A$ and $nu$ is concentrated on $B$. $mu$ is concentrated on $A$ and means $mu (E)=0$ for every measurable set $E subset A^{c}$. Hence $|mu| (E) =sup {sum |mu (E_n)|: {E_n} text {is a partition of } E}=0$ for every measurable set $E subset A^{c}$. (Because $mu (E_n)=0$ for every $n$). Hence $|mu |(A^{c})=0$. Similarly, $|nu |(B^{c})=0$. Hence $|mu| perp |nu|$.






                        share|cite|improve this answer























                          up vote
                          1
                          down vote










                          up vote
                          1
                          down vote









                          I don't have Folland's book and I will use the definitions in Rudin's book. $mu perp nu$ means there exist disjoint measurable sets $A,B$ such that $mu$ is concentrated on $A$ and $nu$ is concentrated on $B$. $mu$ is concentrated on $A$ and means $mu (E)=0$ for every measurable set $E subset A^{c}$. Hence $|mu| (E) =sup {sum |mu (E_n)|: {E_n} text {is a partition of } E}=0$ for every measurable set $E subset A^{c}$. (Because $mu (E_n)=0$ for every $n$). Hence $|mu |(A^{c})=0$. Similarly, $|nu |(B^{c})=0$. Hence $|mu| perp |nu|$.






                          share|cite|improve this answer












                          I don't have Folland's book and I will use the definitions in Rudin's book. $mu perp nu$ means there exist disjoint measurable sets $A,B$ such that $mu$ is concentrated on $A$ and $nu$ is concentrated on $B$. $mu$ is concentrated on $A$ and means $mu (E)=0$ for every measurable set $E subset A^{c}$. Hence $|mu| (E) =sup {sum |mu (E_n)|: {E_n} text {is a partition of } E}=0$ for every measurable set $E subset A^{c}$. (Because $mu (E_n)=0$ for every $n$). Hence $|mu |(A^{c})=0$. Similarly, $|nu |(B^{c})=0$. Hence $|mu| perp |nu|$.







                          share|cite|improve this answer












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                          answered Nov 23 at 23:14









                          Kavi Rama Murthy

                          43.5k31751




                          43.5k31751






























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