A Nefarious Application of Math

Cartoon by Zach Weiner.

Cynical, but, if you consider the current “kinetic military action” in Libya, way to close to reality. Indeed, this highlights the question: When does it become too easy to go to war?

Jonathan Schell sums it up in the Guardian:

American planes are taking off, they are entering Libyan air space, they are locating targets, they are dropping bombs, and the bombs are killing and injuring people and destroying things. It is war. Some say it is a good war and some say it is a bad war, but surely it is a war.

Nonetheless, the Obama administration insists it is not a war. Why?

…, the balance of forces is so lopsided in favour of the United States that no Americans are dying or are threatened with dying. War is only war, it seems, when Americans are dying, when we die. When only they, the Libyans, die, it is something else …

— Schell (2011): Libya: it’s not a war if Americans can’t get hurt

Solving Quadratics

Solving quadratic equations requires finding the factors, which is not nearly as easy as multiplying out the factors to get the unfactored equation.

Instead, you have to do a bit of trial and error, to figure out which pairs of numbers multiply to give the constant in the equation and then add together to give the coefficient of the x term.

Factoring quadratic equations.

It gets easier with practice. Or you could use the quadratic formula, where if the equation were:

 a x^2 + b x + c = 0

The solutions would be found with:

 x=\frac{-b \pm \sqrt {b^2-4ac}}{2a}

So in the equation used in the diagram:
 x^2 + 7 x + 10 = 0

you get:

  • a = 1
  • b = 7
  • c = 10

Putting these values into the quadratic equation gives:

 x=\frac{-7 \pm \sqrt {7^2-4(1)(10)}}{2(1)}

which simplifies to:

 x=\frac{-7 \pm \sqrt {49-40}}{2}

 x=\frac{-7 \pm \sqrt {9}}{2}

 x=\frac{-7 \pm 3}{2}

With the whole plus-or-minus thing (\pm), this last equation gives two solutions:

(1):  x=\frac{-7 + 3}{2}  = -5

and,

(2):  x=\frac{-7 - 3}{2}  = -2

Now, you may have noticed that the solutions are negative, but when the equation is factored in the illustration, the result is:

 (x + 5) (x + 2) = 0

The difference is that, although we’ve factored the equation, we have not solved it. When I say solve the equation, I mean find the values of x that would result in the left hand side of the equation being equal to the right, which is zero. Since multiplying anything by zero will give you zero, and the two factors multiply each other, the left-hand-side of the equation will equal zero when either one of the two factors equals zero.

So:


(x + 5) = 0
x = – 5

and:


(x + 2) = 0
x = -2

Finally, we can plot the line:

 y = x^2 + 7 x + 10

using the Graphing Calculator Pro app, or this somewhat crude Parabola-Line Excel Graphing Worksheet, to show that the line crosses the x axis at -5 and -2.:

Note the curve crosses the x axis at -5 and -2.

Illustrating the Multiplication of Quadratic Factors

Each term needs to multiply the other two terms in the opposite parenthesis, so start with the reds, then do the two mixed colors, then the blues, and finally, combine the mixed colors.

I’ve been playing around with ways of showing how to multiply out quadratic factors like the one above. I’m still not perfectly happy with these animations but they’re the best I’ve come up with so far. A smoother, Flash or svg animation might work better though.

In this second version the terms being multiplied are highlighted. I like how the highlighting gives some more stability to the animation, but I’m always leery of putting too much color or bells and whistles because they tend to complicate the picture. In this case at least, I think all the colors have meaning and are useful.

Multiplication of quadratic factors.

It’s 10 PM and the Moat is Empty

Full moat.

My students and I had a great chance to use the our recent geometry work when we figured out how long it would take to drain the new moat in front of the school.

It’s not really a moat, it’s going to be a flower bed that will soak up some of the runoff that tries to seep into the school’s doors every time a spring or fall thunderstorm sweeps through.

The hole was dug on Thursday evening and filled with rainwater with water, half a meter deep, by Friday morning’s rain. At least we know now that the new beds are in the right place to attract runoff.

But to fill the trenches with gravel, sand and soil, we needed to drain the water. With a small electrical pump it seemed like it would take forever; except that we could do the math.

The pump emptied water through a long hose that runs around the back of the building where the topography is lower. I sent two students with a pitcher and a timer (an iPod Touch actually) to get the flow rate.

They came back with a time of 18.9 seconds to fill 4 liters. I sent them back to take another measurement, and had them average the to numbers to get the more reliable value of 18.65 seconds.

Then one of the students got out the meter-stick and measured the depth of the moat at a few locations. The measurements ranged from 46 cm to about 36 cm and we guesstimated that we could model the moat as having two parts, both sloping. After measuring the length (~6 m) and width (2 m), we went inside to do the math.

Rough sketch of the volume of water in the moat.

With the help of two of my students who tend to take the advanced math option every cycle, we calculated the volume of water (in cm3) and the flow rate of the pumped water (0.2145 cm3/s). Then we could work out the time it would take to drain the water, which turned out to be a pretty large number of seconds. We converted to minutes and then hours. The final result was about 7 hours, which would mean that the pump would need to run until 10 pm.

And it did.

The power of math.

Tsunami Geometry: Calculating the Height of a Tsunami using Basic Geometry

Since we’re working on geometry this cycle, I thought it would be an interesting exercise to think about how we could use geometry to think about how the strength of tsunamis decreases with distance from the source.

Of course, we’ll have to do this using some intense simplification so we can actually apply the tools we have available. The first is to approximate the tsunami as a circular wall of water centered on the epicenter of the earthquake.

Simplified tsunami geometry.

This lets us figure out the volume of the wave pretty easily because we know that the volume of a cylinder is:

(1) ! V_c = \pi r^2 h

The size of the circular water wall we approximate from the reports from Japan. The maximum height of the wave at landfall was somewhere in the range of 14 m along the northern Japanese coast, which was about 80 km from the epicenter. Just as a wild guess, I’m assuming that the “effective” width of the wave is 1 km.

Typically, in deep water, a tsunami can have a wavelength greater than 500 km (Nelson, 2010; note that our width is half the wavelength), but a wave height of only 1 m (USSRTF). When they reach the shallow water the wave height increases. The Japanese tsunami’s maximum height was reportedly about 14 m.

At any rate, we can figure out the volume of our wall of water by calculating the volume of a cylinder with the middle cut out of it. The radius of our inner cylinder is 80 km, and the radius of the outer cylinder is 80 km plus the width of the wave, which we say here is 1 km.

Calculating the volume of the wave

However, for the sake of algebra, we’ll call the radius of the inner cylinder, ri and the width of the wave as w. Therefore the inner cylinder has a volume of:

(2) ! V_i = \pi r_i^2 h

So the radius of the outer cylinder is the radius of the inner cylinder plus the width of the wave:

(3) ! r_o = r_i + w

which means that the volume of the outer cylinder is:

(4) ! V_o = \pi (r_i + w)^2 h

So now we can figure out the volume of the wave, which is the volume of the outer cylinder minus the volume of the inner cylinder:

(5) ! V_w = V_o - V_i

(6) ! V_w = \pi (r_i + w)^2 h - \pi r_i^2 h

Now to simplify, let’s expand the first term on the right side of the equation:

(7) ! V_w = \pi (r_i ^2 + 2 r_i w + w^2) h - \pi r_i^2 h

Now let’s collect terms:

(8) ! V_w = \pi h \left( (r_i ^2 + 2 r_i w + w^2)  - r_i^2 \right)

Take away the inner parentheses:

(9) ! V_w = \pi h (r_i ^2 + 2 r_i w + w^2  - r_i^2)

and subtract similar terms to get the equation:

(10) ! V_w = \pi h ( 2 r_i w + w^2 )

Volume of the wave

Now we can just plug in our estimates of width and height to get the volume of water in the wave. We’re going to assume, later on, that the volume of water does not change as the wave propagates across the ocean.

(11) ! V_w =  \pi (14)  ( 2 r_i (1000) + (1000)^2 )

rearrange so the coefficients are in front of the variables:

(12) ! V_w =  14 \pi  ( 2000 r_i  + 1000000 )

So, at 80 km, the volume of water in our wave is:

(13) ! V_w =  14 \pi  ( 2000 (80000)  + 1000000 )

(14) ! V_w =  7081149841  m^3

Height of the Tsunami

Okay, now we want to know what the height of the tsunami will be at any distance from the epicenter of the earthquake. We’re assuming that the volume of water in the wave remains the same, and that the width of the wave also remains the same. The radius and circumference will certainly change, however.

We take equation (10) and rearrange it to solve for h by first dividing by rearranging all the terms on the right hand side so h is at the end of the equation (this is mostly for clarity):

(15) ! V_w = \pi ( 2 r_i w + w^2 )  h

Now we can divide by all the other terms on the right hand side to isolate h:

(16) ! \frac{V_w}{\pi ( 2 r_i w + w^2 )} = \frac{\pi ( 2 r_i w + w^2 )  h}{\pi ( 2 r_i w + w^2 )}

so:

(17) ! \frac{V_w}{\pi ( 2 r_i w + w^2 )} = h

which when reversed looks like:

(18) ! h = \frac{V_w}{\pi ( 2 r_i w + w^2 )}

This is our most general equation. We can use it for any width, or radius of wave that we want, which is great. Anyone else who wants to calculate wave heights for other situations would probably start with this equation (and equation (15)).

Double checking our algebra

So we can now figure out the height of the wave at any radius from the epicenter of the earthquake. To double check our algebra, however, let’s plug in the volume we calculated, and the numbers we started off with, and see if we get the same height (14 m).

First, we’ll use all our initial approximations so we get an equation with only two variables: height (h) and radial distance (ri). Remember our initial conditions:

w = 1000 m
ri = 80,000 m
hi = 14 m

we used these numbers in equation (10) to calculate the volume of water in the wave:

Vw = 7081149841 m3

Now using these same numbers in equation (18) we get:

(19) ! h = \frac{7081149841}{\pi ( 2 (r_i) (1000) + (1000)^2 )}

which simplifies to:

(20) ! h = \frac{7081149841}{ 2000 r_i \pi + 1000000 \pi }

So, to double-check we try the radius of 80 km (80,000 m) and we get:

h = 14 m

Aha! it works.

Across the Pacific

Now, what about Hawaii? Well it’s about 6000 km away from the earthquake, so taking that as our radius (in meters of course), in equation (20) we get:

(21) ! h = \frac{7,081,149,841}{ 2,000 (6,000,000) \pi + 1,000,000 \pi }

which is:

h = 0.19 m

This is just 19 cm!

All the way across the Pacific, Lima, Peru, is approximately 9,000 km away, which, using equation (20) gives:

h = 0.13 m

So now I’m curious about just how fast the 14 meters drops off to less than 20 cm. So I bring up Excel and put together a spreadsheet of tsunami height at different distances. Plot on a graph we get:

Tsunami heights with distance from earthquake, assuming a circular wall of water.

So the height of the tsunami drops off relatively fast. Within 1000 km of the earthquake the height has dropped by 90%.

How good is this model

This is all very nice, a cute little exercise in algebra, but is it useful? Does it come anywhere close to reality? We can check by comparing it to actual measurements; the same ones used by NOAA to compare to their model (see here).

The red line is the tsunami's water height predicted by the NOAA computer models for Honolulu, Hawaii, while the black line is the actual water height, measured at a tidal gauge. Other comparisons can be found here.
Tsunami wave heights in the Pacific, as modeled by NOAA. Notice how the force of the tsunami is focused across the center of the Pacific.

The graph shows a maximum height of about 60 cm, which is about three times larger than our model. NOAA’s estimate is within 20% of the actual maximum heights, but they’ve spent a bit more time on this problem, so they should be a little better than us. You can find all the gruesome details on NOAA’s Center for Tsunami Research site’s Tsunami Forecasting page.

Notes

1. The maximum height of a tsunami depends on how much up-and-down motion was caused by the earthquake. ScienceDaily reports on a 2007 article that tried to figure out if you could predict the size of a tsunami based on the type of earthquake that caused it.

2. Using buoys in the area, NOAA was able to detect and warn about the Japanese earthquake in about 9 minutes. How do they know where to place the buoys? Plate tectonics.

The locations of the buoys in NOAA's tsunami warning system.

Update

The equations starting with (7) did not have the 2 on the riw term. That has been corrected. Note that the numerical calculations were correct so they have not changed. – Thanks to Spencer and Claude for helping me catch that.

Social Loafing: Getting Groups to Work Well Together

PsyBlog has an excellent summary of the research on social loafing, the phenomena where people working in a group work less compared to when they work alone. Because we do so much group work, this is sometimes an issue.

The first research on social loafing came from Max Ringelmann way back in 1913 (Ringelmann, 1913). He had people pulling on a rope, and compared the maximum they could have pulled, based on individual test, to how much each person actually pulled. The results were, kind of, sad; with eight people, each one only pulled half as much as their maximum potential strength. A graph of Ringelmann’s data is shown below. If everyone pulled at their maximum the line would have stayed horizontal at 1.

The relative loafing of people working in a group. As the group gets larger, the amount of work per person decreases from its maximum of 1. Data from Ringelmann (1913)

The PsyBlog article points out three reasons why people tend to loaf in groups:

  • We expect others to loaf so we do it, too.
  • We feel more anonymous the larger the group, so we feel less need to put in the effort.
  • We often don’t have a clear idea about how much we need to contribute, so we don’t put in as much as we could.

This can be summed up in Latane’s Social Theory:

If a person is the target of social forces, increasing the number of other persons diminishes the relative social pressure on each person.

— Latane et al., 1979: Many hands make light the work: The causes and consequences of social loafing in the Journal of Personality and Social Psycology. Quote via Keith Rolag’s Website.

How do we deal with this

The key is making sure students are motivated to do the work. We want self-motivated students, but creating the right environment, especially by training students in how to work in a group will help.

  • Make sure students realize the importance of their work; this makes them more motivated.
  • Build group cohesion; team members contribute more if they value the group they’re in.
  • Make sure the group clearly and fairly divides the work. Let everyone be part of the decision making process so students have choices in what to do will help them be more invested in their part of the work.
  • Make sure each group member feels accountable for their share of the work.

A Brief Excursion into Mathematics

Ringelmann’s data falls on a remarkably straight line, so I used Excel to plot a trendline. As my algebra students know, you only need two points to write the equation of a line, however, Excel uses linear regression to get the best-fit line through all the data. Not all the data points will be on the line (sometimes none of them will be on the line) but the sum of the distance from each point to the line is minimized.

Curiously, since the data is pretty close to a straight line, you can extend the line to the x-axis to find out how many people it would take for no-one to be exerting any force at all. Students should be able to determine the equation of the line on their own, but you can get Excel to give you the equation of the trendline. From the plot we see:

y = -0.0732 x + 1.0707

At the x-axis, y = 0, so;

0 = -0.0732 x + 1.0707

solving for x we first subtract the constant, 1.0707 from both sides to get:

0 – 1.0707 = -0.0732 x + 1.0707 – 1.0707

giving:

-1.0707 = -0.0732 x

then divide by -0.0732 to isolate x:

! \frac{-1.0707}{-0.0732} = \frac{-0.0732 x}{-0.0732}

which yields:

x = 14.63

This means that with 15 people, no-one will be pulling on the rope. In fact, according to this equation, they’ll actually start pushing on the rope.

It’s an amazing result, but if you can find flaws with my argument or math, please let me know.

Recipes for revolution

The Economist has come up with a neat little flash app that combines all the ingredients to see which Arab countries are ripest for revolution. They call it their “Shoe Thrower’s Index”.

We’ve seen how a combination of demographics (lots of young people), an educated middle class, and protests might lead to revolutions (which still often come as a surprise). With The Economist’s table you get to choose which factors you think are most important.

Move the slider bars on the right to set the “weight” of each indicator of revolution to what you think is most important, and the chart on the left will adjust itself to show which countries are more likely to have a revolution based on your parameters.

(found via The Dish)