Using Maple 2018 to find coefficients in a power series












0














I'm doing a practical experiement and have measured the voltage over a capacitor on an oscilloscope as the capacitor decays.
I have a table of results showing the voltage and time, and created an exponential fit and a plot, using



withStatistics

entering the x,y co ordinates

ExponentialFit(X, Y, v)



This calculates $Ae^x$ but I would like to get the first four coefficients of the power series for my measured value of $e^x$.



Any help on how to do this would be much appreciated!










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    0














    I'm doing a practical experiement and have measured the voltage over a capacitor on an oscilloscope as the capacitor decays.
    I have a table of results showing the voltage and time, and created an exponential fit and a plot, using



    withStatistics

    entering the x,y co ordinates

    ExponentialFit(X, Y, v)



    This calculates $Ae^x$ but I would like to get the first four coefficients of the power series for my measured value of $e^x$.



    Any help on how to do this would be much appreciated!










    share|cite|improve this question



























      0












      0








      0







      I'm doing a practical experiement and have measured the voltage over a capacitor on an oscilloscope as the capacitor decays.
      I have a table of results showing the voltage and time, and created an exponential fit and a plot, using



      withStatistics

      entering the x,y co ordinates

      ExponentialFit(X, Y, v)



      This calculates $Ae^x$ but I would like to get the first four coefficients of the power series for my measured value of $e^x$.



      Any help on how to do this would be much appreciated!










      share|cite|improve this question















      I'm doing a practical experiement and have measured the voltage over a capacitor on an oscilloscope as the capacitor decays.
      I have a table of results showing the voltage and time, and created an exponential fit and a plot, using



      withStatistics

      entering the x,y co ordinates

      ExponentialFit(X, Y, v)



      This calculates $Ae^x$ but I would like to get the first four coefficients of the power series for my measured value of $e^x$.



      Any help on how to do this would be much appreciated!







      power-series exponential-function maple






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      share|cite|improve this question













      share|cite|improve this question




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      edited Nov 29 '18 at 20:31







      William

















      asked Nov 29 '18 at 20:17









      WilliamWilliam

      52




      52






















          1 Answer
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          0














          So, if I understand, you've found a numeric value for A that makes A*exp(x) fit the data.



          If so, then is there a problem with substituting the parameter value into the power series for A*exp(x)?



          raw := convert(series(A*exp(x), x, 4), polynom):

          lprint(raw);
          A+A*x+(1/2)*A*x^2+(1/6)*A*x^3

          eval(raw, A=2.134); # or what have you

          2 3
          2.134 + 2.134 x + 1.067000000 x + 0.3556666667 x


          Or, if you already have an expression with the numeric value,



          expr := 2.134*exp(x):

          raw := convert(series(expr, x, 4), polynom):

          lprint(raw);
          2.134+2.134*x+1.067000000*x^2+.3556666667*x^3


          Of course, for this example that is just A multiplied by the series for exp(x).






          share|cite|improve this answer





















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            1 Answer
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            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            So, if I understand, you've found a numeric value for A that makes A*exp(x) fit the data.



            If so, then is there a problem with substituting the parameter value into the power series for A*exp(x)?



            raw := convert(series(A*exp(x), x, 4), polynom):

            lprint(raw);
            A+A*x+(1/2)*A*x^2+(1/6)*A*x^3

            eval(raw, A=2.134); # or what have you

            2 3
            2.134 + 2.134 x + 1.067000000 x + 0.3556666667 x


            Or, if you already have an expression with the numeric value,



            expr := 2.134*exp(x):

            raw := convert(series(expr, x, 4), polynom):

            lprint(raw);
            2.134+2.134*x+1.067000000*x^2+.3556666667*x^3


            Of course, for this example that is just A multiplied by the series for exp(x).






            share|cite|improve this answer


























              0














              So, if I understand, you've found a numeric value for A that makes A*exp(x) fit the data.



              If so, then is there a problem with substituting the parameter value into the power series for A*exp(x)?



              raw := convert(series(A*exp(x), x, 4), polynom):

              lprint(raw);
              A+A*x+(1/2)*A*x^2+(1/6)*A*x^3

              eval(raw, A=2.134); # or what have you

              2 3
              2.134 + 2.134 x + 1.067000000 x + 0.3556666667 x


              Or, if you already have an expression with the numeric value,



              expr := 2.134*exp(x):

              raw := convert(series(expr, x, 4), polynom):

              lprint(raw);
              2.134+2.134*x+1.067000000*x^2+.3556666667*x^3


              Of course, for this example that is just A multiplied by the series for exp(x).






              share|cite|improve this answer
























                0












                0








                0






                So, if I understand, you've found a numeric value for A that makes A*exp(x) fit the data.



                If so, then is there a problem with substituting the parameter value into the power series for A*exp(x)?



                raw := convert(series(A*exp(x), x, 4), polynom):

                lprint(raw);
                A+A*x+(1/2)*A*x^2+(1/6)*A*x^3

                eval(raw, A=2.134); # or what have you

                2 3
                2.134 + 2.134 x + 1.067000000 x + 0.3556666667 x


                Or, if you already have an expression with the numeric value,



                expr := 2.134*exp(x):

                raw := convert(series(expr, x, 4), polynom):

                lprint(raw);
                2.134+2.134*x+1.067000000*x^2+.3556666667*x^3


                Of course, for this example that is just A multiplied by the series for exp(x).






                share|cite|improve this answer












                So, if I understand, you've found a numeric value for A that makes A*exp(x) fit the data.



                If so, then is there a problem with substituting the parameter value into the power series for A*exp(x)?



                raw := convert(series(A*exp(x), x, 4), polynom):

                lprint(raw);
                A+A*x+(1/2)*A*x^2+(1/6)*A*x^3

                eval(raw, A=2.134); # or what have you

                2 3
                2.134 + 2.134 x + 1.067000000 x + 0.3556666667 x


                Or, if you already have an expression with the numeric value,



                expr := 2.134*exp(x):

                raw := convert(series(expr, x, 4), polynom):

                lprint(raw);
                2.134+2.134*x+1.067000000*x^2+.3556666667*x^3


                Of course, for this example that is just A multiplied by the series for exp(x).







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Nov 29 '18 at 22:19









                aceracer

                3,640199




                3,640199






























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