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PRECALCREVIEW:MODELINGwithFUNCTIONSII
Modeling with Inverse Functions : needtofindwhenmodelpredictssomevalue.
• Inverse Functions Basic Ideas: given y = f(x), inverse function is x = f−1(y).
Issues for f−1(y): domain and range ?, uniqueness?, explicit form?
• Modeling Example (1.6.36): if shrew population growth rate F as function of
cocoon density C is F = .055(220C − 11000)/(320C), find C(F) and C(.02)?
• Modeling Example (1.R.16): if pollution level P in Lake Bowegan as function of
time t in days is P = 25 − 15cos(2πt/365), find t(P) and t(40)?
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PRECALCREVIEW:MODELINGwithFUNCTIONS
• Log Functions as Inverse Functions: basic form y = logb(x), for b > 0.
What is inverse function?
Commonvs. Natural logs?
y
Basic properties: logb(xy) =?, logb(x/y) =?, logb(x ) =?, base change?
ModelingExample(1.6.38): ifMexicanpopulationmodelisP(t) = 67.38(1.026)t,
find t(P) and doubling time.
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PRECALCREVIEW:MODELINGwithLOGFUNCTIONS
m
• Log-LogPlotsandDataFitting: givenx,y data, find“best-fit” function y = kx .
Example: River Object Diameter vs Transport Speed (text 1.6.44)
3.5
3
2.5
2
1.5
1
0.5
00 20 40 60 80 100 120 140 160 180
Solution: take logs and find best fit line for “log-log” data
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PRECALCREVIEW:MODELINGwithLOGFUNCTIONS
Example: River Object Diameter vs Speed (1.6.44) Log-Log Plot
River Object Data Log−Log Plot
1.5
1
0.5
0
−0.5
Log of Current Speed−1
−1.5
−2
−2.5
−2 −1 0 1 2 3 4 5 6
Log of Object Diameter
Matlab:
x = [.2 1.3 5 11 20 45 80 180 ];
y = [.1 .25 .5 .75 1 1.5 2.5 3.5 ];
plot(log(x),log(y),’*’)
title(’River Object Data Log-Log Plot’)
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