Approximating an expression with the binomial expansion

AI Thread Summary
The discussion focuses on using the binomial expansion to approximate the fractional change in frequency of radar reflected from a moving automobile. The expression f_r=(1+v)/(1-v)f_i is provided, and the goal is to derive that the fractional change in frequency is approximately Δf/f≈2v under the assumption that v is a small fraction of the speed of light. Participants are clarifying the application of the binomial expansion, particularly whether (1-v)^n can be approximated correctly. There are also requests for assistance with formatting issues in the equations presented. The thread emphasizes the importance of proper application of mathematical approximations in physics.
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f_r=(\frac{1+v}{1-v})f_i

For an automobile moving at speed v that is a small fraction of the speed of light, assume that the fractional change in frequency of reflected radar is small. Under this assumption, use the first two terms of the bionomial expansion

(1-x)^n\approx{1-nz \mbox{for} |z| \ll{1}

to show that the fractional change of frequency is given by the approximate expression

\frac{\Delta{f}}{f}\approx{2v}



So far, I have

\frac{\Delta{f}}{f}=\frac{\frac{1+v}{1-v}\Delta{f_i}}{\frac{1+v}{1-v}f_i

Now, does the binomial expansion allow this?: \frac{1+v}{1-v}\approx{(1+v)(1+v)}

Is this where this problem wants me to go?
 
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