Difference between revisions of "TF ErrorAna PropOfErr"

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and
 
and
  
Let
+
Based on the Definition of Varia
  
 
\<math>Delta A = A- A_0 =f(L,W)-f(L_o,W_0)</math> = fluctuation of the Area
 
\<math>Delta A = A- A_0 =f(L,W)-f(L_o,W_0)</math> = fluctuation of the Area

Revision as of 21:05, 9 January 2010

A quantity which is calculated using quantities with known uncertainties will have an uncertainty based upon the uncertainty of the quantities used in the calculation.

To determine the uncertainty in a quantity which is a function of other quantities, you can consider the dependence of these quantities in terms of a tayler expansion

Consider a calculation of a Table's Area

A=L×W

The mean that the Area (A) is a function of the Length (L) and the Width (W) of the table.

A=f(L,W)


The Taylor series expansion of a function f(x) about the point a is given as

f(x)=f(a)+f(x)|x=ax1!+f(x)|x=ax22!+...

=inftyn=0f(n)(x)|x=axnn!


For small values of x (x << 1) we can expand the function about 0 such that

1+x=10|12(1+x)1/2|x=0x11!+1212(1+x)3/2|x=0x22!

=1+x2x24


The talylor expansion of a function with two variable is given by

f(x1,x2)=f(xo1,xo2)+(x1xo1)fx1|(x1=x01,x2=x02)+(x2xo2)fx2|(x1=x01,x2=x02)

or

f(x1,x2)f(xo1,xo2)=(x1xo1)fx1|(x1=x01,x2=x02)+(x2xo2)fx2|(x1=x01,x2=x02)

The term

f(x1,x2)f(xo1,xo2)

represents a small fluctuation of the function from its average.

If we ignore higher order terms in the Taylor expansion ( this means the fluctuations are small)

and

Based on the Definition of Varia

\DeltaA=AA0=f(L,W)f(Lo,W0) = fluctuation of the Area

and simularly

ΔL=LL0 and ΔW=WW0


Then

ΔA=ΔLAL|L0,W0+ΔWAW|L0,W0