Understanding the definition of a measurable function












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I’m having trouble understanding the definition of a probability measurable function. The definition says that the preimage of events in the sigma algebra on the range must be an event in the sigma algebra on the domain. Why is this definition significant? What’s it trying to say?










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    I’m having trouble understanding the definition of a probability measurable function. The definition says that the preimage of events in the sigma algebra on the range must be an event in the sigma algebra on the domain. Why is this definition significant? What’s it trying to say?










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      $begingroup$


      I’m having trouble understanding the definition of a probability measurable function. The definition says that the preimage of events in the sigma algebra on the range must be an event in the sigma algebra on the domain. Why is this definition significant? What’s it trying to say?










      share|cite|improve this question









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      I’m having trouble understanding the definition of a probability measurable function. The definition says that the preimage of events in the sigma algebra on the range must be an event in the sigma algebra on the domain. Why is this definition significant? What’s it trying to say?







      stochastic-calculus






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      asked Jan 29 at 0:57









      TeodorismTeodorism

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          Assume $X$ is a probability space, and $f:>Xto{mathbb R}$ is some scalar function. For a given number $ain{mathbb R}$ we want to be able to talk about the probability $Pbigl[f(x)leq abigr]$. This probability is equal to the measure of the set $f^{-1}({mathbb R}_{leq a})subset X$:$$Pbigl[f(x)leq abigr]=muleft( f^{-1}bigl({mathbb R}_{leq a})right) ,$$
          and similarly
          $$Pbigl[aleq f(x)leq b]=muleft( f^{-1}([a,b])right) .$$
          Therefore we need the property that $f^{-1}$ of measurable sets in ${mathbb R}$ is measurable in $X$.






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            $begingroup$

            Assume $X$ is a probability space, and $f:>Xto{mathbb R}$ is some scalar function. For a given number $ain{mathbb R}$ we want to be able to talk about the probability $Pbigl[f(x)leq abigr]$. This probability is equal to the measure of the set $f^{-1}({mathbb R}_{leq a})subset X$:$$Pbigl[f(x)leq abigr]=muleft( f^{-1}bigl({mathbb R}_{leq a})right) ,$$
            and similarly
            $$Pbigl[aleq f(x)leq b]=muleft( f^{-1}([a,b])right) .$$
            Therefore we need the property that $f^{-1}$ of measurable sets in ${mathbb R}$ is measurable in $X$.






            share|cite|improve this answer









            $endgroup$


















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              $begingroup$

              Assume $X$ is a probability space, and $f:>Xto{mathbb R}$ is some scalar function. For a given number $ain{mathbb R}$ we want to be able to talk about the probability $Pbigl[f(x)leq abigr]$. This probability is equal to the measure of the set $f^{-1}({mathbb R}_{leq a})subset X$:$$Pbigl[f(x)leq abigr]=muleft( f^{-1}bigl({mathbb R}_{leq a})right) ,$$
              and similarly
              $$Pbigl[aleq f(x)leq b]=muleft( f^{-1}([a,b])right) .$$
              Therefore we need the property that $f^{-1}$ of measurable sets in ${mathbb R}$ is measurable in $X$.






              share|cite|improve this answer









              $endgroup$
















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                $begingroup$

                Assume $X$ is a probability space, and $f:>Xto{mathbb R}$ is some scalar function. For a given number $ain{mathbb R}$ we want to be able to talk about the probability $Pbigl[f(x)leq abigr]$. This probability is equal to the measure of the set $f^{-1}({mathbb R}_{leq a})subset X$:$$Pbigl[f(x)leq abigr]=muleft( f^{-1}bigl({mathbb R}_{leq a})right) ,$$
                and similarly
                $$Pbigl[aleq f(x)leq b]=muleft( f^{-1}([a,b])right) .$$
                Therefore we need the property that $f^{-1}$ of measurable sets in ${mathbb R}$ is measurable in $X$.






                share|cite|improve this answer









                $endgroup$



                Assume $X$ is a probability space, and $f:>Xto{mathbb R}$ is some scalar function. For a given number $ain{mathbb R}$ we want to be able to talk about the probability $Pbigl[f(x)leq abigr]$. This probability is equal to the measure of the set $f^{-1}({mathbb R}_{leq a})subset X$:$$Pbigl[f(x)leq abigr]=muleft( f^{-1}bigl({mathbb R}_{leq a})right) ,$$
                and similarly
                $$Pbigl[aleq f(x)leq b]=muleft( f^{-1}([a,b])right) .$$
                Therefore we need the property that $f^{-1}$ of measurable sets in ${mathbb R}$ is measurable in $X$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Jan 29 at 10:42









                Christian BlatterChristian Blatter

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                176k8115327






























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