Natural Logarithm and Exponential
Log and Exponential
If the natural log of x is y (in economics we generally just write ln and log interchangeably, becareful though, google thinks function log means log with base 10, matlab thinks function log means base e, you will get different numbers typing in log(10) in google and matlab).
then
where e is Euler's number. Intuitively,
is asking what exponent y of base e is needed for
to be equal to x. When x is consumption, the log utility of consumption is in some sense the number of e terms needed to be multiplied together to equal to c. We can also write:
, writing
is a little easier to read, means just e to the power of x
because of this:
The natural log is just the inverse of the exponential function. We use log to linearize exponential functions, which allows us to do regressions afterwards for example.
Log Rules
Suppose we have: ![](data:image/png;base64,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)
This looks complicated, but because there is log, we can take the equation apart:
Generally (:
Why does
?
Why is the log of the product of two numbers the same as the sum of the log of each of the two numbers? Intuitively, because we can write
as the exponential of a sum: when
, even though it's multiplication, it is also just
, the exponential of a sum. - Rule:
![](data:image/png;base64,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)
We can write separately what each term equals to as:
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
By definition, for each of the three terms above:
![](data:image/png;base64,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)
![](data:image/png;base64,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)
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So:
Given that:
, and
: Hence:
Why does
?
Why is the log of an exponential term equal to the power times the log of the base of the exponential?
We start with:
Proceed:
![](data:image/png;base64,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)
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For Variables that Grow, Log difference is close to rate of change
Suppose that growth rate is x percent per year, after 5 years, the gdp will be:
We can take log on both sides:
Which says that the difference in GDP between these two years divided by 5 is equal to the log of 1 plus the growth rate.
Approximately, for x small:
For example:
xVec = linspace(0,0.10,10);
log(1+ xVec)
0 0.0110 0.0220 0.0328 0.0435 0.0541 0.0645 0.0749 0.0852 0.0953
xVec
0 0.0111 0.0222 0.0333 0.0444 0.0556 0.0667 0.0778 0.0889 0.1000
Note: This is a bad approximation if x is large. For example, we know that
is almost exact. But the approximation here would have said
, which is very incorrect.