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A Starry, Starry Night is Full of Mathematical Swirls

September20

The swirls in Vincent van Gogh’s famous painting “The Starry Night” might well be from his observation of how eddies flow in a stream and, if so, he captured a piece of the math that governs our universe? The dappled starlight and swirling clouds of Vincent van Gogh’s painting are usually thought to reflect the artist’s tumultuous state of mind when he painted the work in 1889.

from CNN): Now, a new analysis by physicists based in China and France suggests the artist had a deep, intuitive understanding of the mathematical structure of turbulent flow.

As a common natural phenomenon observed in fluids — moving water, ocean currents, blood flow, billowing storm clouds and plumes of smoke — turbulent flow is chaotic, as larger swirls or eddies, form and break down into smaller ones.

It may appear random to the casual observer, but turbulence nonetheless follows a cascading pattern that can be studied and, at least partially, explained using mathematical equations.

“Imagine you are standing on a bridge, and you watch the river flow. You will see swirls on the surface, and these swirls are not random. They arrange themselves in specific patterns, and these kinds of patterns can be predicted by physical laws,” said Yongxiang Huang, lead author of the study that published Tuesday in the scientific journal Physics of Fluids. Huang is a researcher at State Key Laboratory of Marine Environmental Science & College of Ocean and Earth Sciences at Xiamen University in southeastern China.

“The Starry Night” is an oil-on-canvas painting that, the study noted, depicts a view just before sunrise from the east-facing window of the artist’s asylum room at Saint-Rémy-de-Provence in southern France. Van Gogh had admitted himself to an asylum there after mutilating his left ear.

Using a digital image of the painting, Huang and his colleagues examined the scale of its 14 main whirling shapes to understand whether they aligned with physical theories that describe the transfer of energy from large- to small-scale eddies as they collide and interact with one another.

‘The Starry Night’ and turbulence theories

The atmospheric motion of the painted sky cannot be directly measured, so Huang and his colleagues precisely measured the brushstrokes and compared the size of the brushstrokes to the mathematical scales expected from turbulence theories. To gauge physical movement, they used the relative brightness or luminance of the varying paint colors.

They discovered that the sizes of the 14 whirls or eddies in “The Starry Night,” and their relative distance and intensity, follow a physical law that governs fluid dynamics known as Kolmogorov’s theory of turbulence.

Fascination with Numbers

September19

Jim Willard wrote an article back in 2019 on his fascination with numbers – and it makes for nice reading too. If you love numbers too, then enjoy:

“For as long as I can remember (many decades) I have been fascinated with numbers.

I see patterns in many things. I arrange items in order, place silver in parallel and other (sometimes) annoying habits. My phone number at my former place of gainful employment was a numeric palindrome, 6792976, a rarity for that phone system.

Naturally, I was not the first. The Babylonians of Mesopotamia beat me to it by about 5,000 years.

Hanging out between the Tigris and Euphrates rivers at that time they began a numbering system.

It is one of the oldest numbering systems known.

Following in that vein, the first mathematics can be traced to Babylonia during the third millennium B.C. They used tables to help them in problem calculations.

One of their tablets — perhaps similar to one used in my high school math — dates to the period 1900 to 1600 B.C.  It contains tables of Pythagorean triples for the equation a-squared plus b-squared = c-squared.

The Babylonians developed an advanced number system, base of 60 (sexagesimal). The decimal system is what we all grew up with.

Then in my computer days I had to learn binary and hexadecimal. In analyzing core dumps — yes, that’s what we called it when the computer threw up and refused to execute the program — the dumps were in hexadecimal, 0-9 then A-F for 10 through 15.

In those Dark Ages of Computerdom this allowed me to alter core storage using addresses and 0-F, very useful to resume printing checks when the printer burped. However, I digress.

Let us return to the Greek philosopher Pythagoras (he of the theorem).

He believed that the meaning of the universe lay in numbers.

He and his pals assigned symbolic meaning to numbers. This, of course, was more mystical than mathematical but it made them feel good.

They considered all even numbers as feminine and the odd ones as masculine.

They proceeded with the Number 1 identifying with reason, God, unity and the sun (don’t ask me).

Number 2 meant divisibility, opinion, sociability and the moon.

Number 3 had many meanings while 4 stood for solidity and foundation, points of the compass, the seasons and the Evangelists.

Number 5 was associated with fire, love and marriage (an interesting combination).

The “perfect” number was 6 being the sum of 1, 2 and 3 representing Creation (accomplished in six days?).

These guys obviously had time on their hands as they considered two numbers “friendly” if each were the sum of the divisors of the other (220 and 284 for instance).

Some “real believers” bought into this to the extent that they considered some so friendly that they were positively aphrodisiac; they wrote them on digestible tablets and swallowed them. I have no data on their effectiveness.

Well, this began as a quick review of numbers and devolved into human physiology; such is the way of writing columns about trivia.

Numbers are fun so perhaps I’ll return to them.”

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Math Concepts Expanded by Robert Edward Grant

September18

How Many Permutations with the Rubik’s Cube?

August14

Answer is in Post Support – More on Rubik here

The official Rubik Cube website

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Percentages Matter

August10

From cnn: Scientists from Oxford University’s physics department have developed a micro-thin, light-absorbing material flexible enough to apply to the surface of almost any building or object — with the potential to generate up to nearly twice the amount of energy of current solar panels.

The technology comes at a critical time for the solar power boom as human-caused climate change is rapidly warming the planet, forcing the world to accelerate its transition to clean energy. Here’s how it works: The solar coating is made of materials called perovskites, which are more efficient at absorbing the sun’s energy than the silicon-based panels widely used today. That because its light-absorbing layers can capture a wider range of light from the sun’s spectrum than traditional panels. And more light means more energy.

The Oxford scientists aren’t the only ones who have produced this type of coating, but theirs is notably efficient, capturing around 27% of the energy in sunlight. Today’s solar panels that use silicon cells, by comparison, typically covert up to 22% of sunlight into power.

The researchers believe that over time, perovskites will be able to deliver efficiency exceeding 45%, pointing to the increase in yield they were able to achieve during just five years of experimenting, from 6% to 27%.

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Top Teacher Helps Students Online

July21

Subash Chandar has been awarded the National Excellence in Education Award (NZ) for his inspiring work as a Mathematics and Statistics teacher. You can check out his youtube channel here at ‘infinityplusone’:

https://www.youtube.com/@infinityplusone

 

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The mysterious maths at work in the Tour de France

July17

An interesting article from the BBC, written by Kit Yates, Director of the Centre for Mathematical Biology at the University of Bath and the author of The Maths of Life and Death, and How to Expect the Unexpected

If you look at where previous winners of the world’s most famous cycling race are from, a surprisingly common pattern emerges.

The Tour de France is without doubt the most famous cycling race in the world. Athletes from a range of different countries around the world are pitted against each other over a three-week race for the famous yellow jersey. Along with billions of others, I enjoy watching the spectacle of these almost superhuman athletes pushing themselves to the absolute limit in the beautiful French terrain.

Like many fans, I start the summer reading up on the approaching race. But recently I came across a graphic I had never seen before – the number of wins of the Tour by nation. What struck me was the smooth arc of the curve as it declined from left to right. In particular, I noticed that Belgium, the country ranked second in terms of wins with 18, had exactly half the 36 wins achieved by French riders . The country with the next highest number of Yellow jerseys, Spain, had exactly one third (12) the number of France’s wins. Italy, the next nation on the list had just one more than a quarter (10) of the number of French victories.

This reminded me very strongly of a mysterious and ubiquitous distribution to which many real world data sets seemingly conform. “Zipf’s law” is probably best known to characterise the frequencies of words in a body of writing. In this context, the law states that, for a large enough text, when the words are lined up in order of decreasing frequency, they exhibit a special pattern. Specifically, the second-most-frequent word occurs roughly half as often as the most frequent. The third-most-frequent word occurs approximately one-third as often as the first, the fourth a quarter as often and so on – just as we saw with the Tour de France winners.

To put it to the test, when I analysed the word frequency of one of my own books, lo and behold, I found a startlingly good agreement with Zipf’s law, which you can see in the graph below. The most common word I used in the book was “the” – 6,691 times. In second place came “of” with 3,330 occurrences – almost exactly half the number of times that “the” appears. The word “to” came next with 2,445 appearances, slightly over one-third the frequency of “the” – and so on. Incidentally, the words “life” and “mathematics” registered 64 times, while “death” occurred only 42 times, despite the title of the book being “The Maths of Life and Death”.

But exactly why Zipf’s law should hold for Tour de France winners is not clear. In fact, as you might expect, when you plot Zipf’s distribution on top of the real data, the agreement is not perfect. The European nations, France and its close neighbours Belgium, Spain and Italy, who have won the Tour the most, are over-represented. In some senses this is unsurprising. The make-up of early Tours de France were dominated by the French and later by their neighbours. In the first edition of the Tour in 1903, for example, 49 of the 60 cyclists who entered were French. If you remove all the winners before the First World War, we can find an improved agreement with Zipf’s law (see the graph below).

But what does that mean for this year’s race? Sadly, Zipf’s law speaks only in generalities and doesn’t offer us answers to such specific questions. Whatever happens though, even as the memories of their last win fade from the public’s consciousness it’s going to take many more years for the evidence of France’s early domination of the Tour to fade from the data.

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Pi, Whichever Way You Look at it…

July11

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Chance Discovery of Random Number Generator

July7

[Article source: BBC]

In 1997, Mads Haahr and his pals were nosing around a Radio Shack outlet in Berkeley, California. Most of the radios on sale had noise filters that cut out the crucial crackles they were looking for. After a little persuasion, the salesman agreed to let Haahr and his friends listen to one of the cheapest devices he had in the back of the shop. The friends did their best to explain what they were looking for – a really crackly radio. You know, the kind that blares a hail of static between stations as you turn the dial. The shop salesman didn’t know what to say.

“I think he thought we were quite crazy,” recalls Mads Haahr.

As they slotted a couple of batteries into the small, grey, $10 radio, a wall of buzz burst forth. It was noisy as hell. “We were jumping up and down,” says Haahr. That little radio was, potentially, about to make them rich. Haahr and three of his friends had been working on gambling software – digital slot machines and blackjack games that they wanted to host online. Back then, online casinos were just beginning to take off.

Haahr knew that they would need to be able to generate reliably random numbers. Endless streams of digits that would determine what slots came up when you yanked the virtual lever, or what cards got dealt in an online poker game. If these things weren’t random, the digital casino wouldn’t be very fair and players could even try to beat the system by looking for predictable patterns in the games.

And so the four friends were seeking a source of randomness that they could all agree was trustworthy. Something that, by definition, couldn’t be biased. The noise blurted out by such a device is actually a messy signal shaped by lightning and electromagnetic activity in the Earth’s atmosphere. That’s what generates the blast of unpredictable static. Haahr had planned to have a computer listen to all that gibberish, convert the ups and downs into little ones and zeroes, also known as bits, and then use that to produce strings of random numbers – something like 4107567387.

There are some things that computers, for all their prowess, don’t do well – and one of them is randomness. Sure, computers spit out data all the time, why not random numbers? The problem is that computers rely on internal mechanisms that are at some level predictable, meaning the outputs of computer algorithms eventually become predictable, too, which is not what you want if you’re running a casino. The same issue can cause headaches for cryptographers. When you encrypt information, you want the keys to the code to be as random as possible, so that no-one can work out how you garbled the original text since that could allow them to read the secret message.

People have long sought external sources of randomness as the basis of random number generators. In this search for true randomness, they have looked practically everywhere for chaotic phenomena that can’t be predicted or manipulated. They have listened to the racket of electrical storms, captured pictures of raindrops on glass, and played with the tiniest particles in the known Universe. The search is far from over.

In the end, the little grey radio didn’t make Haahr and his friends rich after all. The online gaming business was too much in its infancy back then for the young entrepreneurs to make a killing out of it. But the random number generator they built was, they reasoned, still useful. So Haahr made it public at random.org, where it has been churning out random numbers ever since. It gets a lot of visitors.

“One I can mention is the San Francisco Mayor’s Office,” says Haahr. “They use our service to draw winners who are lucky enough to get affordable housing.”

Other users include people who run local community lotteries. They choose the winning numbers every week on Haahr’s website. Scientists have even used the online number generator to randomise participants in experiments. Marketing firms that give away prizes to consumers have also chosen their winners with the help of random.org. “People use it for drug screening, for example,” adds Haahr. “Selecting employees randomly.” The site also has a facility for choosing a random password. And yes, some online gambling services rely on random.org, too.

One man even says he turned to it to help him choose which discs from his 700-strong CD collection to put into his careach week.

All of these results, including, in some cases, life-changing outcomes of draws or selection processes, are derived from atmospheric activity picked up by a bunch of radio receivers. The original $10 radio has long been misplaced, confesses Haahr. Over the years, he and his colleagues set up more advanced equipment to yield high-quality atmospheric noise and, currently, the site relies on nine large receivers in different geographical locations. [check out more at random.org]

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Turbulence and Probability

July7

Definition: The Federal Aviation Administration describes turbulence as “air movement that normally cannot be seen,” noting that it often occurs unexpectedly. While planes are built to withstand turbulence, it may still be an uncomfortable experience for passengers.

Massey University’s School of Aviation (New Zealand) chief executive Ashok Podavul has over 12,000 hours of airline jet flying experience. He told The Front Page there is a theory that the number of turbulence incidents in recent times has been in “quick succession”.

“Whether this is going to be an ongoing trend or not remains to be seen. But, there is a study by the University of Reading, where they have talked about the link between climate change and turbulence. They are forecasting that turbulence incidents are going to increase in the future.”

Turbulence is essentially unstable air that moves in a non-predictable fashion, and the most dangerous type is clear-air turbulence, which often occurs with no visible indicators in the sky ahead to warn pilots.

The research revealed severe clear-air turbulence in the North Atlantic has increased by 55% since 1979.

Podavul said the probability of something happening mid-flight is mathematically extremely low, given there are roughly between 99,000 and 100,000 flights, globally, every day.

“For an aircraft to be certified, the risk of any catastrophic component failure has to be lower than one over 10 to the power of nine.

“So basically, if you throw 10 dice and the chances of all of them coming up with the same number, the probability of a catastrophic failure has to be less than that,” he said. [full article from the NZ Herald here]

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« Older Entries

Post Support

Rubik’s Cube answer = 43 Quintillion

 

Largest number between o and 1 million which does not contain the ‘n’ is 88

 

Rotation SAT Problem: Answer: 4 (see: https://www.youtube.com/watch?v=FUHkTs-Ipfg)

 

Which number has its letters in alphabetical order? Answer: F O R T Y

Hidden Rabbit? Clue: check the trees

How long for the stadium to fill? 45 minutes.

Where are you? the North Pole

Prize Object Puzzle: If Sue does not know where the prize is in the first question, it can’t be under the square. She must have been told it is under another shape. Apply this same logic to Colin. It is then obvious that the prize cannot be under a yellow object. That helps Sue eliminate her yellow shapes. Got the idea?

Algebra Puzzle: Answer = 1

Popular Math Problems Answers: 1, 1

Number of tabs? According to Lifehacker, the ideal number of tabs you should have open is nine. Yes, a single digit. To some, this is like playing a piano and only using a fraction of the notes!

Worst Graph? Where to start. What a visual mess and even some of the lines merge and are impossible to follow. A graph is a visual display of data, with the goal to identify trends or patterns. This is a spider’s web of information which fails to show a clear pattern at all. Solution? Well, different colors would help, or why not group in two or three graphs where trends are similar?

Number of different nets to make a cube is eleven – see this link

Homework Puzzle; The total value of the counters is 486, so halve this to get 243. Now, arrange the counters to equal this amount twice.

The graph on the left (Coronavirus) is for a time period of 30 days, while the one on the right (SARS) is for 8 months! Very poor graphical comparison and hardly relevant, unless it is attempting to downplay the seriousness of the coronavirus?

10 x 9 x 8 + (7 + 6) x 5 x 4 x (3 + 2) x 1 = 2020

NCEA Level 2 Algebra Problem. Using the information given, the shaded area = 9, that is:
y(y-8) = 9 –> y.y – 8y – 9 =0
–> (y-9)(y+1) = 0, therefore y = 9 (can’t have a distance of – 1 for the other solution for y)
Using the top and bottom of the rectangle,
x = (y-8)(y+2) = (9-8)(9+2) = 11
but, the left side = (x-4) = 11-4 = 7, but rhs = y+? = 9+?, which is greater than the value of the opp. side??
[I think that the left had side was a mistake and should have read (x+4)?]

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