This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
gibson:teaching:spring-2016:math445:lecture:loglinear [2016/02/03 13:46] gibson |
gibson:teaching:spring-2016:math445:lecture:loglinear [2016/02/04 08:47] (current) gibson |
||
---|---|---|---|
Line 1: | Line 1: | ||
====== Math 445 lecture 4: log-linear relations ====== | ====== Math 445 lecture 4: log-linear relations ====== | ||
+ | ===== Log-linear relations ===== | ||
Logarithmic plots are useful when the data you're plotting varies over many orders of magnitude. Logarithmic plots can also highlight certain functional relationships | Logarithmic plots are useful when the data you're plotting varies over many orders of magnitude. Logarithmic plots can also highlight certain functional relationships | ||
Line 9: | Line 10: | ||
| ''loglog(x,y)'' | $y = c x^m$ ^ | | ''loglog(x,y)'' | $y = c x^m$ ^ | ||
- | In lecture I will show (1) why each of these functional relationships appears as a straight line in the corresponding plot command and (2) how to estimate the values of the constants from a graph, in order to estimate $y(x)$ as an explicit function. | + | In lecture I will show (1) why each of these functional relationships appears as a straight line in the corresponding plot command and (2) how to estimate the values of the constants from a graph, in order to estimate $y(x)$ as an explicit function, given a few data points. |
+ | |||
+ | You can derive these formulae from the log-linear relations instead of memorizing them. For example, you can derive $y = c \; 10^{mx}$ by exponentiating both sides of $\log y = m x + b$. |