Logarithmic identities are special properties that apply to all logarithmic functions. These properties are very helpful in simplifying calculations and solving complex logarithmic equations.
Before discussing logarithmic identities, let's recall that logarithms are the inverse of exponents. If bx=a, then bloga=x.
Earthquake strength is measured using the Richter scale which is based on logarithms:
R=log(I0I)
Where:
R = Richter scale value
I = earthquake intensity
I0 = reference intensity (zero level)
Example: An earthquake that occurred in Haiti in 2010 had an intensity of 107 times compared to zero-level earthquakes. What is the Richter scale strength of that earthquake?
Solution:
R=log(I0I)
=log(I0107I0)
=log(107)
=7
Therefore, the earthquake in Haiti in 2010 had a strength of 7 on the Richter scale.
Logarithmic functions are also used for modeling decay/depreciation with the formula:
H(t)=cekt
where H(t) is the value at time t.
Example: At any given time, the price of a used car is not proportional to its current price. If a new car costs 200 million rupiah and after 5 years becomes 100 million rupiah, determine the car's price after 10 years of use.
Solution:
H(0)=200 million, so200=ce0=c
H(5)=100 million, so100=200e5k
e5k=21, therefore 5k=ln(21)
k=51ln(21)=−0.1386
From these results, the car's price at any time t is:
H(t)=200e−0.1386t
Therefore, the car's price after 10 years of use is:
H(10)=200e−0.1386(10)=200e−1.386≈50 million rupiah