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gibson:teaching:fall-2013:math445:lab8 [2013/11/04 13:49] gibson |
gibson:teaching:fall-2013:math445:lab8 [2013/11/04 19:04] (current) gibson |
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For each data set, turn in your plots and your estimate of the function //y(x)//. | For each data set, turn in your plots and your estimate of the function //y(x)//. | ||
- | **Problem 1: The distribution of earthquake magnitudes.** Big earthquakes are rare, and little earthquakes are frequent. In fact, there is a very | + | **Problem 1: The distribution of earthquake magnitudes, by Moment Magnitude scale.** Big earthquakes are rare, and |
- | clean empirical law that governs how many earthquakes of a given magnitude typically occur world-wide in a given year. Your job is to deduce | + | little earthquakes are frequent. In fact, there is a very clean empirical law that governs how many earthquakes of a |
- | that law from the following historical data. | + | given magnitude typically occur world-wide in a given year. Your job is to deduce that law from the following |
+ | historical data. | ||
<code> | <code> | ||
- | % magnitude number/year | + | % M N |
8 2 | 8 2 | ||
7 18 | 7 18 | ||
Line 37: | Line 38: | ||
</code> | </code> | ||
- | The first column is the Richter magnitude //R//, and the second column is the number of earthquakes //N// of that magnitude that occur, on average, in a year. (The last two entries are estimates, since it's impossible to detect every small earthquake around the world.) | + | The first column is the [[http://en.wikipedia.org/wiki/Moment_magnitude_scale | moment magnitude]] //M//, and the second column is the number of earthquakes //N// of that magnitude that occur, on average, in a year. The last two entries are estimates, since it's impossible to detect every small earthquake around the world. The data are obtained from [[http://www.earthquake.ethz.ch/education/NDK/NDK|Earthquake Statistics and Earthquake Prediction Research]] by Stefan Wiemer, Institute of Geophysics, Zurich. |
+ | |||
+ | Using Matlab plotting commands, deduce the form of the functional relationship //N(M)//. Estimate the constants in the relationship by estimating the slope and the //y//-intercept, and then fine-tuning by matching the plot of your estimate against the plot of the data. | ||
+ | |||
+ | **Problem 2: The distribution of earthquake magnitudes, by energy.** The moment magnitude scale is logarithmic, in that an earthquake of magnitude //M+1// releases about 32 times energy than an earthquake of magnitude //M//. The following data | ||
+ | set gives the number //N// of earthquakes in a given year of energy //E// measured in Joules. | ||
+ | |||
+ | <code> | ||
+ | % E N | ||
+ | 6e16 2 | ||
+ | 2e15 18 | ||
+ | 6e13 120 | ||
+ | 2e12 800 | ||
+ | 6e10 6200 | ||
+ | 2e09 49000 | ||
+ | 6e07 365000 | ||
+ | 1e06 2920000 | ||
+ | </code> | ||
+ | |||
+ | Deduce the form of the functional relation //E(N)// using Matlab plotting, then estimate and fine-tune the constants | ||
+ | in the relation, just as in problem 1. | ||
+ | |||
+ | **Problem 3: World population.** The following data set provides the human population //P// of the earth at a given | ||
+ | time //t//, measured in years A.D. | ||
+ | |||
+ | <code> | ||
+ | % t P | ||
+ | 1927 2e09 | ||
+ | 1960 3e09 | ||
+ | 1974 4e09 | ||
+ | 1987 5e09 | ||
+ | 1999 6e09 | ||
+ | 2011 7e09 | ||
+ | </code> | ||
+ | |||
+ | Deduce the form of the functional relation //P(t)// and determine the constants graphically. | ||
+ | |||
+ | Assume that the formula you derived for //P(t)// is valid indefinitely into the future and the past. What year will | ||
+ | the population of the earth reach one trillion? What year were the first humans born? Do you believe these answers? | ||
+ | If not, why not? | ||
- | Deduce a functional relationship //N(R)// |