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One common approach in this course will be estimating an answer by adding together a series of terms. In some cases, we will be adding

One common approach in this course will be estimating an answer by adding together a series of terms. In some
cases, we will be adding a certain number of terms until a series converges. The last term that is included gives
one estimate of the error. The next term (i.e. the first term not used) provides another estimate of the error.
In this problem, consider the infinite "Maclaurin" series for cosx(with x in radians),
cosx=1-x22!+x44!-x66!+x88!cdots
Starting with the simplest version, cosx=1, add terms one at a time to estimate cos5 using eqn 1. Afer each
new term is added, compute the true and approximate fraction relative errors. Reminder: the true error compares
numeric estimate to what you can figure out (e.g. cos function on a calculator or spreadsheet) for 5rad=36.
The approximate error compares the amount that you added in the more recent term to your current numeric
estimate.
Compute the results that you obtain for 1,2,3,4, and 5 terms.
SUGGESTION and plea: use a computer program, as practice.
Why?? The idea of using Excel or Matlab is to make the calculation not very repetitive for you. One goal of
the course is learning how to make your life easier when using computer tools. Think about how you can
write a simple formula and then cut and paste (Excel) or write sets of simple expressions (Matlab).
You will learn in a thermodynamics class that the liquid-phase side of Raoult's Law yiP=xiPisat is often
written as xiiPisat, where the activity coefficient i corrects for deviations from ideal solution behavior. In
some cases the activity coefficient is expressed mathematically as
ln=(a0-a1T)(1+(c0+c1T)xi1-xi)
where a0,a1,c0, and c1 are constants, T is absolute temperature, and xi is mole fraction. For this case, derive
an expression for the uncertainty in the vapor pressure yiP as a function of the uncertainty in the mole fraction
and temperature, assuming that the vapor pressure is calculated using an Antoine equation. Assume that the
uncertainties in the Antoine equation parameters and the ln parameters are negligible.
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