The single biggest problem regarding mathematics and the sciences is motivating younger students to study them.

While the United States excels at welcoming people from all over the world to travel to the U.S. and study science and math, the number of aspiring mathematicians at universities is decreasing. About only 2% of all students in America that pursue a bachelor’s degree are in the fields of mathematics or other physical sciences. On top of that, roughly 48% of students studying a STEM field in a bachelor’s program, and 69% of students pursuing an associate’s degree, changed majors or exited college before earning their degree [1]. One possible explanation for this is the reputation that math has for being boring, uninteresting, and complicated. However, there could hardly be a better time to become a mathematician.

I was watching a documentary about deserts with my 2 year old. At first, she found the documentary to be boring because the desert appeared to be bland and void of life. Then, the screen started showing the lively and colorful aspects of a desert including its oases, various cacti, and small creatures. She was shocked that the arid desert could possess so much color, life, and intrigue. It reminded me of my feelings towards mathematics. For some people, mathematics seems like a dry and dull subject that makes little sense. However, it too becomes full of life and color once one looks in the right places and from the correct perspective.

Ten years ago, the Wall Street Journal ranked jobs based upon a number of parameters such as salary, freedom, the possibility of promotion, and ease of employment. It may surprise you to find out that being a mathematician was ranked as the number one job in the world! [2] Career Cast, a company that started as a spin-off for this kind of ranking in 1988, also ranked mathematician as the number one job in 2014 [3].

In job advertisements, the definition of a mathematician is somebody who applies mathematical theories and formulas to teach or solve problems in a business, educational, or industrial setting. In other words, a mathematician is someone who insists on solving problems, which is what mathematics was invented for. However, a crucial point is missing from this description. There are mathematicians who not only teach or apply mathematics but do math, generate math, and change math.

If a mathematician is one of the best jobs in the world, how many mathematicians are there around the world? Thankfully, it is in the hundreds of thousands: almost 250,000, and it is growing every year, particularly in India and China [4]. These countries encourage their children to participate in STEM fields from a young age and place a very high emphasis upon education that can help foster a love for STEM careers at a young age.

Although mathematics is the science in which theorems last for a long time, it is also a field that is being renewed constantly. There are not many other subjects in which knowledge can last thousands of years and always remain both correct and relevant. For instance, the theorems of Euclid, a Greek mathematician who lived in the third century BC, are still accurate today. If we look at the modern applications of computer science and mathematics we see that people are still applying the contributions of Laplace about the central limit theorem, using the contributions of Shannon in sampling, and applying Fourier’s ideas about signal analysis and signal processing. Paradoxically, mathematics is ancient and contemporary at the same time.

In 2014, Emmanuel Candes of Stanford University gave a short speech about how he had collaborated with medical doctors and mathematicians, and used Fourier’s ideas in analysis and data processing, to drastically reduce the time needed to develop a scan [5]. His machine was a significant evolution for the medical field. In experiments, it was shown that to reconstruct images with the best accuracy, they need to have only 2% of the Fourier transform. Candes managed to reduce this time by a factor of eight by knowing only a very small portion of the Fourier transform. Netflix also uses this technology for reconstructing missing information and predicting the preferences of users for movies.

However, the life of a mathematician is not always full of success. The field is full of uncertainty, intense problem solving that can often take weeks or even months, and waiting. Most of a mathematician’s time as a researcher is spent in failure. That is an objective fact. A common motto is, “Every day is a failure. This is our life.” But when we look back on the amount of time that is spent solving these problems, everything pays off. Every year, the number of new theorems added in mathematics runs into the thousands. Failures are not actually failures, but merely bumps along the path of progress.

Another common problem that befalls mathematicians is that they will be expected to perfectly predict what will happen should their discovery work as intended. This is especially true of work done under the auspices of government agencies, since they will often not grant money without a very clear path towards a desired outcome. Things do not always go as planned, and thus it can be challenging to argue that a desired result will occur 100% of the time.

Despite these drawbacks, one of the most exciting aspects of mathematics is the potential to discover something revolutionary and groundbreaking. History has shown that the ideas and discoveries of one individual can make a tremendous difference in the world. By encouraging and enabling more and more students to study math and science, we thus increase the odds that more discoveries, be they groundbreaking or not, will continue to be made in the future.

Alan Turing was a mathematician who had an outsized impact on human history. He was instrumental in cracking the secret codes that were used by the Nazis during the Second World War. Some have argued that World War II would have lasted at least two more years without Turing’s intervention. In particular, the Normandy operation would have been impossible. What was Turing’s motivation? It was not patriotism, honor, or a strong duty to his country. It was simple: his main motivation was solving riddles and difficult problems. He lived for the thrill of solving his next big challenge.

Paul Erdos, a Hungarian, was the most productive mathematician of the 20th century. Erdos had no home, no car, no bank account, and no salary. He lived with just one suitcase and his ideas. He worked on theorems his entire life. When he got some money from some reward, he would always use part of it to put a reward on another theorem.

Leo Szilard was another revolutionary mathematician. He was the first person to understand the concept of chain reactions between atoms. His inspiration came from a public lecture, in which famed physicist Ernest Rutherford said, “It would be moonshine talking if you are willing to extract energy from the atom.” Rutherford acknowledged that energy existed within atoms but thought it was impossible to do anything with it. Szilard felt that Rutherford was wrong and decided to prove it. He worked and thought for days. And one day, while he was crossing a street in London, he was struck with an idea about the principle of chain reaction and exponential growth of atomic energy. This lead to him eventually meeting with Albert Einstein and the subsequent development of the Manhattan Project.

Steps in developing ideas

But how do scientists find those perfect ideas? What are the steps? Henri Poincare gives us some hints about how the ideas were coming to him. Poincare, who was always considered a genius, experienced many discoveries after working very hard on the problem and he had a lot of failures. He said: “Disgusted from my failure, I went to spend a few days near the sea thinking anything else. And one day, while walking on the cliff, the idea came to me. And as before, it was very brief, sudden, with immediate certainty, that arithmetic transforms of indefinite ternary quadratic forms are identical to those of non-Euclidean geometry.”

So, under which circumstances does a big idea come? In popular culture, we have those myths like Newton saw an apple falling down and changed the world. But in real life, it’s not the way it happens. For Poincare’s example, the cliff has nothing to do with quadratic forms. Poincare was saying that he worked very hard and then he decided to rest a little bit, and finally, he had the enlightening moment. What is important here is if the brain had not been prepared by hard work, the illuminating idea wouldn’t have struck.

So what is the process of discovery?

Of course, a publication will be the last step for the discovery of an idea. Because publication means that the idea is out and going to be seen and read by the world. But before that, we have many steps or ingredients which make our idea stand up on its feet.

1. Fecundation

The first step is fecundation. In other words, conversations and discussions you have with your colleagues. Your interaction has a potential to bring about a new phase, a new idea out of different projects. It may take months or years to decide what you want to prove.

2. Documentation

Documentation is built upon previous research and insights. We may need to document things from several centuries ago or from recent times. Nowadays, all information is stored in computers and the internet, which makes this step easier than before.

3. Motivation

Motivation is the most important ingredient when we pursue a discovery. Psychologists believe that childhood experiences play a big role. For instance, both Szilard and Turing’s lives were strongly influenced by a book they read before they found their ideas. In the case of Turing, the book Natural Wonders Every Child Should Know was his inspiration. When I was a child, I watched “Donald in Mathmagic Land” and thought it was fascinating. It might have played a big role in my choice to become a mathematician.

4. Ecosystem

A discovery or an idea never arrives on its own. A scientist is never alone and there is a whole ecosystem around them. For instance, at one point in history, Persepolis was the most innovative city in the world. Then it was Paris, and then Budapest. Today, we have the well-known Silicon Valley.

If you are working in a lab, you need to have an atmosphere where people can meet, discuss, and be creative. A good idea comes from teamwork.

5. Constraints

The next ingredient that you need for a good idea is constraints. Without constraints, discovering new ideas is not as likely as when there are. Rigorous findings come about mostly with constraints. One of the most famous problems in mathematics is the Riemann hypothesis, which was tested in thousands of experiments. After those experiments, the proof was only a set of logical rules with constraints. Constraints usually help generate authentic results and artistic quality as in rhyming poems.

6. Intuition

Intuition usually comes together with hard work, yet it is not easy to understand its process.

In addition to these six ingredients, whether one has good fortune or not also plays an important role. It is human condition that things may not come out as we like although we might have done everything necessary.

Henri Poincare says, “Thought is only a flash between two long nights, but this flash is everything.” Yet, a big idea might take years of work. Still, even after working so hard, our knowledge is like a tiny island in an ocean of unknown. We know almost nothing, but this is such a precious nothing, because that that knowledge came out of the richness of the thought of many people and their efforts. There are still so many ideas just waiting for us to discover them.

Mathematics, like many scientific fields, is an infinite universe with an infinite amount of problems waiting to be discovered and solved. Their applications within our world are endless, and the possibilities to use these results to create real change in our world are also endless. One tends to ask, is math a stand-alone, abstract concept while its vast horizons of knowledge explains the intricacies of our universe, or does it imply an infinitely bigger wisdom from which this abstract knowledge rises from and that relates to our existence? We must continue to motivate students to study math so that they may fall in love with it and continue to develop humanity.

References

1. United States, Congress, Chen, Xianglei, and Matthew Soldner. “STEM Attrition: College Students’ Paths Into and Out of STEM Fields.” STEM Attrition: College Students’ Paths Into and Out of STEM Fields, National Center for Education Statistics, Nov. 2013. nces.ed.gov/pubs2014/2014001rev.pdf.
2. Needleman, Sarah E. “Doing the Math to Find the Good Jobs.” The Wall Street Journal, Dow Jones & Company, 7 Jan. 2009, www.wsj.com/articles/SB123119236117055127.
3. “Jobs Rated 2014: Ranking 200 Jobs from Best To Worst.” CareerCast.com, CareerCast.com, 9 Mar. 2017, www.careercast.com/jobs-rated/jobs-rated-2014-ranking-200-jobs-best-worst.
4. “Mathematics Genealogy Project.” Welcome! – The Mathematics Genealogy Project, genealogy.math.ndsu.nodak.edu/
5. Emmanuel J. Candes. “Mathematics of sparsity (and a few other things), August 14, 2014, Seoul. ICM2014 VideoSeries PL3. https://www.youtube.com/watch?v=W-b4aDGsbJk

It was finally the weekend! After my long mathematics presentation, I came home to watch my favorite tv show, Person of Interest, to de-stress. Surprisingly, the episode was about the most famous mathematical constant, pi (π) which is equal to the ratio of a circle’s circumference to its diameter, commonly approximated as 3.14159. Mr. Finch (the main character) was acting as a substitute teacher and wrote on the chalkboard 3.1415926535. Then he asked the students, “What does this mean?” I answered the question in my mind, thinking, “If I have a bicycle tire with a diameter of 1, then one full revolution of the bicycle tire would travel the distance pi.” However, in the show, nobody answered. Then Mr. Finch answered the question himself, saying:

Person of Interest, Season 2 Episode 11 “2 Pi R”

“Pi, the ratio of the circumference of a circle to its diameter — 3.1415926535 — is just the beginning. It keeps going forever without ever repeating, which means that contained within this string of decimals is every other number; your birth date, the combination to your locker, your social security number, etc. It’s all in there somewhere. And if you convert these decimals into letters you would have every word that ever existed in every possible combination; the first syllable you spoke as a baby, the name of your latest crush, your entire life story from beginning to end, and everything we ever say or do. All of the world’s infinite possibilities rest within this one simple circle. Now what will you do with that information; what it’s good for? Well, that would be up to you…”

Although that scene was actually inaccurate, I loved it. This scene is beautiful because most teachers in the world struggle to be as good and as interesting of a teacher as Mr. Finch is here. His knowledge about the subject expands the discussion beyond the textbooks and keeps the students focused throughout the lecture.

Wikipedia, gif, “Pi Unrolled”

We have all been taught that pi is the ratio of a circle’s circumference to its diameter.

Unfortunately, this is wrong because mathematicians have not proved that pi has the characteristic of “normality” yet. In other words, mathematicians are not sure if pi contains all the finitely long permutations of digits from 0 to 9. They are not sure if every digit continues to be used after a certain amount of time or an unlimited number of times in pi’s decimal representation. Nobody knows what we will find in the digits of pi if we keep going. For instance, when we check the first billion digits of pi, we see that the digit 7 occurs almost 100 million times. This makes pi a nice random number generator. However, after some points, pi may not contain the digit 7 and might instead have a non-repeating number with just two or three digits such as 010203112233000111222333…

For instance, after the first 761 digits of pi, there is a famous mathematical coincidence where six nines occur in a row which is called the Feynman point.

Twitter, Feynman’s Library, “Feynman Point in Pi”

But we are sure that the digits of pi keep going on forever and in a random order. This makes pi interesting because the value of pi is finite; however, its decimal value is infinitely long. This is not a contradiction. Pi is a constant number because it is the ratio of the circumference of a circle and its diameter, which are finite values. Still, we need an approximate value for pi.

In 1768, Johann Lambert proved that the value of pi is an irrational number and it cannot be written as a rational simple fraction. 22/7 is a commonly used approximation but does not contain all of the digits of pi. This is because irrational numbers cannot be written as a ratio of two numbers, such as , because they continue on to infinity and do not follow a pattern. In 1882, Ferdinand Lindemann proved that pi is a transcendental number because it is not algebraic; it is not a non-constant polynomial equation with rational coefficients (“Transcendental number”, Wikipedia).

We can safely say that pi is transcendental because the mathematician Yasumasa Kanada found that the first trillion digits of pi appear to be statistically random. If you check the table below, you see that the event of each digit occurring is independent, and the probability of it is one-tenth of the time (“Kanada Laboratory,” Super Computing)

After many years, Emma Haruko Iwao found 34.1 trillion digits of pi in 2019. It took 121 days for Haruko and his computer, because calculating pi requires a lot of power, even for a computer. You can picture it in your mind like this; if you were to print a billion decimal values of Pi in normal sized, ordinary font, it would stretch from New York to Kansas.

However, 34.1 trillion digits is still not enough to prove whether pi is normal or not (“Pi in the Sky, Google Cloud Blog). Supercomputers are still crunching the numbers. If you check the graph below, you will see the number of known digits of pi, by year, since 250 B.C.

FiveThirtyEight, Graph, “Even After 31 Trillion Digits, We’re Still No Closer To The End Of Pi”

Going back to Mr. Finch, we see that he is not 100% wrong. We can find our birthdays in pi easily. If you go to mypiday.com and type your birthday, it will give you the decimal place in pi. For example, my birthday occurs at the 675,097th decimal place.

If pi is a normal number, then we can say that our whole destiny is encoded in pi. The pictures we are going to take in the future, will be in pi because there are binary numbers behind images. All digital products are in pi. Even this article has been in pi for thousands of years. Furthermore, the DNA of every creature is in pi. Mr. Finch was actually right.

There is an interesting and artistic way to show the randomness of pi. Some scientists might be happy with their tedious scatter plots, but there are some artists who use colors for data visualization to communicate with the public. Martin Krzywinski is one such artist, who found beauty and artistry in the randomness of Pi. He took the digits of pi and gave each digit a different color. For instance, he gave 3 the color orange, 1 as red, 4 as yellow, and so on. Then he made a beautiful poster. And if you look at it carefully, you do not see any particular pattern to the colors.

Science Art by Martin Krzywinski

Should we stop working on pi? Or should we continue looking for a better approximation? Is assuming pi as equal to 3.14 good enough? Or is it enough to use 40 digits of pi to find the circumference of the Milky Way galaxy to an error less than the size of a proton (JPL NASA)? Are the first 152 digits enough to find the circumference of the observable universe at 93 billion light-years (WIRED)? There are hundreds of mathematicians who have been trying to figure out more digits of pi for years. It is like trying to get to the moon and then to the next planet, and so on…

But why? Why do mathematicians bother calculating any more digits? Why aren’t 34.1 trillion digits of pi enough? Is it because pi lurks in every circle?

The logical reason seems cryptic: is it because pi is a beautiful source to generate random numbers? Or is it that countries can show off their technology to other countries, because calculating trillions of digits of pi requires a very powerful computer? For instance, in the Star Trek episode “Wolf in the Fold,” Spock foils the evil computer by commanding it to “compute to last digit of the value of pi.” So asking a computer to compute pi is called “a stress test” and may make it crash.

On the other hand, we humans are just weird. Staying at home and drinking tea is a beautiful activity, but when we get bored, we try to climb the highest of mountains, befriend a tiger, or try to memorize the digits of pi, like Chao Lu, who correctly memorized the first 67,890 digits of pi. We will keep doing these things because we like to understand the world around us.

We are inevitably connected to the past, and pi is a thread that’s gone through all of human history. That’s why we can say that as long as there are people, there’s always going to be somebody who wonders what’s next. And I assure you that somewhere in the world there is a mathematician or scientist using pi for something important, because pi is still the mysterious constant of nature.

Finding Pi

The previous statement is utterly true: there has always been someone who works on pi. Math is as old as civilization. Pi has been studied by the human race for almost 4000 years. When the last mammoths were going extinct, people were studying Pi. As far as we know, Archimedes was one of the first humans who calculated pi. He was most likely helping wheel makers. But how did he estimate the value of pi?

Firstly, he saw that all polygons are a circle. According to Archimedes, if you keep increasing the number of the sides of a polygon, you get closer to the perfect circle. In other words, a pentagon is more circle than a square, but a hexagon is more circle than a pentagon, and so on… Thus, more than two thousand years ago, he defined a circle as a regular polygon with an extremely large number of sides.

His definition is useful because measuring a curved surface was hard to do accurately. He found a way to find the circumference of a circle. First, he drew a square with its corners touching the perimeter of a circle and found the perimeter of the inscribed square. Secondly, he drew another square with its sides also touching the perimeter of the circle and found the perimeter of the circumscribed square. He came to the conclusion that the circumference of the circle had to lie somewhere between the value of those two perimeters of squares.

Using this method, however, the difference between those two values was pretty big. So, he drew pentagons to see the upper and lower bounds of the circumference of the circle. This gave him a smaller range of bounds. He kept increasing the number of faces of the polygon that he was drawing inside and outside the circle. Each time he did this, his estimation was getting more accurate. Archimedes got up to a 96 sided regular polygon [called an enneacontahexagon] until he grew exhausted. The lower and upper bound that he found were 3.1408 and 3.1429. Thus, he calculated π to two decimal places.

Archimedes’ method needed improvement because his life span was not going to be long enough to find the other digits of pi by hand. Mathematicians needed to discover more efficient formulas and new techniques.

Before they could do this, they needed to discover algebra. Its discovery by the great mathematicians inspired a whole new way of looking at the world.

The next great jump in calculating pi was the invention of calculus. After that, mathematicians started working on infinite series. An infinite series is an expression with numbers added together until infinity; sometimes these infinite series converge to a particular value.

There are many methods available now to calculate pi. Gottfried Leibniz found pi in infinity. James Gregory was working on one of the astonishing infinite series for the inverse tangent function below. He added infinitely many small numbers together and found pi.

He put x = 1 into the inverse-tangent series. He showed us the further we go, the closer to the estimation of pi we get. However, in order to get 10 digits of pi, we need to write about 5 billion fractions.

After that, another great mathematician, Leonhard Euler – who officially adopted the Greek letter “π” as a symbol to represent the value – found a more efficient equation for pi, when he was only 28. The symbol became iconic. Euler’s Pi equation calculates an infinite sum. The Basel Problem was named after him.

Euler also used pi to write another beautiful equation, Euler’s Identity.

Thanks to the Indian mathematician Ramanujan’s obsession with pi, we have many new formulas to find pi. When he arrived at Cambridge from India, he brought with him a notebook in which there were 400 pages of formulas to find pi.

After the invention of mechanical computers, mathematicians used Leibniz’s, Euler’s, and Ramanujan’s infinite series to calculate a trillion decimal digits of pi (Stanford Cryptography Group). Without a supercomputer, finding this many digits of pi would be difficult. For example, the mathematician William Shanks managed to calculate the first 707 digits of pi by hand but unfortunately, he had made a mistake after the 527th place.

Pi is everywhere

Children start learning about pi when they are in 7th grade and use it until they graduate from college. Even after that, most people use pi again when their children go to school. Pi appears everywhere in the universe. It is literally woven into our universe: the orbits of planets, electromagnetic waves, rivers, the colors of auroras, the structure of DNA, the Great Pyramid of Giza… If a scientist wants to describe the structure of the universe or find the relationship between planets, he/she definitely needs to use pi: anything involving a circle or a sphere is about pi. Circles appear throughout the natural world, whether they’re a soap bubble or the moon in the night sky.

 A Gif showing the clever play on the letters “pi”

Sinuosity of rivers

Pi has a direct relationship with rivers. But how? To figure this out, we need to measure the length of a river in two different ways. Assume that we know the starting and ending point of the river. First, we need the actual length to see how bendy the river is. In other words, the distance that you need to swim from the beginning point to the ending point. This whole length will be “L”. Second, we need to find a straight length. In other words, this time we need to fly from the beginning to the end. And this direct route will be a lowercase “l”. Now we can write the formula for the sinuosity by dividing L by l. The sinuosity is a ratio and measures how bendy the river is.

What is important here is there’s no limit to how high sinuosity can be. Rivers can be really bendy. However, Hans-Henrik Stølum proved that theaverage sinuosity of rivers around the world is pi. If you find the sinuosity of all the rivers and take the average sinuosity of them, you should get pi (Meandering River).

There is another interesting fact about sinuosity. Rivers can be very bendy at some points. But suddenly, those rivers become straight and make the sinuosity around pi. So, it is hard to find the sinuosity of a river equal to 7 because of fluid dynamics. Mathematicians found the highest sinuosity to be around 3.5 and the lowest sinuosity around 2.7.

At the extremely bendy point, rivers cut off after the bend point and make a shortcut to become straight again. This phenomenon is known as an oxbow lake, which controls the sinuosity of rivers. This keeps the sinuosity of a river around Pi.

Pi in Space

There is a mathematical order inherent in our universe. For instance, to understand our solar system, we need pi. We know that our planet moves in front of its host star. And the light comes from host stars. To talk about that light, we need to know how big the host star is. In other words, we need the surface area of the host star. The formula for the surface area of a sphere is 4πr², with r being the star’s radius. The size of a planet also helps scientists to guess whether it is habitable or not.

Another good example to show the relationship between pi and the universe is electrostatic force, which is the force between two electric charges. An electron exerts a force in all directions and forms a sphere field. Electrons also interact with each other on an electric field. To figure out that interaction, we need to find the surface area of spheres, where again pi comes up.

There is also a connection between pi and gravity. If you have had a chance to see Einstein’s field equations, you might notice that pi is there also:

The formula above calculates how objects with a large mass, such as stars and galaxies, can curve space and time with their gravity. Einstein said that, just like a ball sitting on a bedsheet, any form of momentum and energy can also curve space-time around it. In words, the formula is saying:

Gravity = 8 x π x Energy & Momentum

Lastly, if you take the square root of Earth’s gravity, you almost get pi.

Pi Day

After so many years studying pi, people decided to organize an official celebration of pi on March 14th. Since 1988, people have celebrated this magical constant. Coincidentally, Albert Einstein was born on pi day – March 14, 1879. Einstein also published his theory of general relativity on pi day.

The Google logos for Pi Day.

Concepts like the number zero, negative numbers, complex numbers, matrices, and spatial geometry are inventions of mathematicians which were studied earlier and presented especially for the use of physicists. When mathematicians theorized the “Group Theory,” they were reported to have said, “Finally we have developed something that physicists cannot use.” However, this theory, which stemmed from intangible algebra, was found to be useful in investigating the symmetry of physical systems and had serious applications in particle physics.

If there were no mathematical advances, would physics and other sciences have developed as far as they have? What does it mean that sciences are found in such an interrelated state, and thus support each other?

The perfect relationship between physics and mathematics, as in the expression of many physical laws via simple mathematical equations, is truly amazing. The laws that describe the physical world – from equations expressing the laws of motion (like X=V.t, V=a.t, F=m.a h= (gt2)/2), to basic electrical equations (like V=I.R, P=I.V, E=V/d), going all the way to the equations that define gravitational forces and the expansion of the universe (like F=G.m1.m2/d2, V=H.d) – can easily be expressed through mathematics. Furthermore, this simplicity and plainness in creation of the universe fascinates many scientists. Einstein expressed this fascination when he said, “The most incomprehensible thing about the universe is that it is comprehensible.”

One of the most important relations between mathematics and physics is that the independent study of intangible works of mathematics unexpectedly became one of the best tools to describe the physical world. Numbers, for example, are one of the greatest inventions of humanity. Humans have used them to quantify their properties. For thousands of years, people used numbers, but then the concept of negative numbers developed for seemingly no reason. For centuries, negative numbers were seen as nonsense. Of course there is not a square with a negative side length, a circle with a negative value area, or a classroom with negative number of students. However, negative numbers were found to be applicable in many areas of physics; they are now accepted as being as real as positive numbers. For instance, it is almost impossible to graph position-time, speed-time, acceleration-time, and the momentum-speed relation of objects without negative numbers.

Ellipses, parabolas, and hyperbolas (plane sections of cones cut in different shapes) were studied by Apollonius (BC 262-200), who was a contemporary of Archimedes. Interestingly these shapes were one day used by Kepler and Newton to describe the orbits of heavenly bodies like planets. Three dimensional pentagonal and hexagonal patterns, like those on the surface of a soccer ball, were also investigated by Archimedes. This shape has been found to be in exact configuration of a special carbon molecule composed of 60 atoms.

Likewise, the number zero, which was introduced by Muhammad bin Ahmad, in 967, led to many innovations in mathematics, as well as physics. Did al-Khwarizmi (780-850) know, when he found and utilized 1st and 2nd degree equations, that he was working on something mathematicians and physicists could one day never do without?

Imaginary numbers, as proposed against the main principles of arithmetic, also provides a very good example for this topic. We cannot think of a number whose square is negative in normal conditions. In other words, when a number is multiplied with itself, the resulting number is always a positive number. But mathematicians thought of a number that is negative when squared and continued various studies accordingly. Again, these studies have proven to be an important tool, especially in understanding electrical circuits by physicists.

Let’s finish our examples with ones from modern physics. Riemann (1826) was a mathematician who studied spatial geometry and proposed the concept of space curves. Mathematical equations designed by Riemann, pertaining to spatial geometry, were used by Einstein in 1908 to describe and formulate the concept of general relativity. Einstein also used Minkowski’s four dimensional geo-spatial continuum when developing his theory of general relativity.

There are many more examples. The famous Russian mathematician Friedman established a mathematical model that allows the expansion of the universe by improving Einstein’s model of universal geometry. This model was also later confirmed by the physicist De Sitter in discovering universal expansion and by Hubble in formulating the expansion. In addition, well before the discovery of quantum mechanics, Davit Hilbert proposed the complex vector space with a very different mathematical purpose known as “Hilbert Space.” This concept of space with an infinite number of dimensions is today used by quantum mechanics.

Sometimes physical realities can be foreseen via these invented equations. For example, Dirac proposed the existence of a particle known as the positron (or as we call it, the twin of the electron; it just differs by the charge) through his mathematical equation that he wrote in 1928. Four years later this particle was discovered by Carl D. Anderson, as predicted. To name, James Clerk Maxwell (1831-1879), a famous physicist and mathematician, predicted the presence and speed of electromagnetic waves mathematically via his own equations. Later, these waves were detected by Hertz (1886) through experiments. Again, Maxwell calculated the speed of electromagnetic waves via his equations, and by revealing that it was equal to the speed of light, it was understood that light was also a type of electromagnetic wave. Nowadays, the particle called the “graviton,” which is supposed to be in charge of gravitational forces, and the “Higgs” particle, that theoretically fills space according to quantum theory, are waiting to be discovered.

The book of nature is written in such a way that it is expressible by mathematical language. Famous physicist Sir James Jeans (d. 1946) expressed this situation as follows: “From the intrinsic evidence of his creation, the Great Architect of the Universe now begins to appear as a pure mathematician.” Yes, the level of knowledge that is at play in the universe encompasses both physics and mathematics. The overall interconnectedness of sciences and the interdisciplinary character physics and mathematics point to an owner of this knowledge.

As a conclusion we can deduce that physics and mathematics, just like material and non-material worlds, are in fact intertwined with each other’s various dimensions. The physical face of the universe is the place where records are kept and concepts of matter like heavy or light, big or small, and soft or hard, exist. The mathematical face of the universe (as if spiritual) is the unseen side of events or materials that are hidden and intangible. In a way, this relation between physics and mathematics is a display of the material and spiritual sides of universe.

Nuri Balta is the Head of Physics department at Samanyolu Schools in Turkey. He is also pursuing a PhD degree in Physics at Middle Eastern Technical University, Ankara, Turkey.