Converting the probability from log-log scale to normal scale












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I need to work in log space because in some cases the denominator gets so small that underflow can happen.I can represent a value with 7 decimals on my computer.



Now the problem is that when i convert these values back to normal scale then i don't get the result what i expect and i don't know if there is any other way to interpret these probabilities.



Example :



double val = Math.log10(5) - Math.log10(10);
System.out.println(Math.exp(val));


I get the output as $0.7400..$.
But the actual probability is $5/10 rightarrow 0.5$. The above value from the logarithmic space is too high.
What i am doing wrong?










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    0












    $begingroup$


    I need to work in log space because in some cases the denominator gets so small that underflow can happen.I can represent a value with 7 decimals on my computer.



    Now the problem is that when i convert these values back to normal scale then i don't get the result what i expect and i don't know if there is any other way to interpret these probabilities.



    Example :



    double val = Math.log10(5) - Math.log10(10);
    System.out.println(Math.exp(val));


    I get the output as $0.7400..$.
    But the actual probability is $5/10 rightarrow 0.5$. The above value from the logarithmic space is too high.
    What i am doing wrong?










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I need to work in log space because in some cases the denominator gets so small that underflow can happen.I can represent a value with 7 decimals on my computer.



      Now the problem is that when i convert these values back to normal scale then i don't get the result what i expect and i don't know if there is any other way to interpret these probabilities.



      Example :



      double val = Math.log10(5) - Math.log10(10);
      System.out.println(Math.exp(val));


      I get the output as $0.7400..$.
      But the actual probability is $5/10 rightarrow 0.5$. The above value from the logarithmic space is too high.
      What i am doing wrong?










      share|cite|improve this question









      $endgroup$




      I need to work in log space because in some cases the denominator gets so small that underflow can happen.I can represent a value with 7 decimals on my computer.



      Now the problem is that when i convert these values back to normal scale then i don't get the result what i expect and i don't know if there is any other way to interpret these probabilities.



      Example :



      double val = Math.log10(5) - Math.log10(10);
      System.out.println(Math.exp(val));


      I get the output as $0.7400..$.
      But the actual probability is $5/10 rightarrow 0.5$. The above value from the logarithmic space is too high.
      What i am doing wrong?







      logarithms






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      asked Dec 20 '18 at 17:33









      Khan SaabKhan Saab

      1979




      1979






















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          $begingroup$

          It's because Math.Exp is $e^x$, not $10^x$. Change each log10 to log.






          share|cite|improve this answer









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            $begingroup$

            It's because Math.Exp is $e^x$, not $10^x$. Change each log10 to log.






            share|cite|improve this answer









            $endgroup$


















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              $begingroup$

              It's because Math.Exp is $e^x$, not $10^x$. Change each log10 to log.






              share|cite|improve this answer









              $endgroup$
















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                $begingroup$

                It's because Math.Exp is $e^x$, not $10^x$. Change each log10 to log.






                share|cite|improve this answer









                $endgroup$



                It's because Math.Exp is $e^x$, not $10^x$. Change each log10 to log.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 20 '18 at 17:36









                J.G.J.G.

                31.8k23250




                31.8k23250






























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