#### Sneak Peeks

• Just imagine a dew drop falling from a leaf on the surface of an absolutely calm lake, creating short ripples in water which then fight among themselves and disappear in time. Such an amazing thing to watch but, today we will unfold the mathematics behind it.

The function which defines the phenomenon stated above or any acoustic activity on a circular membrane (exploited by most of the musical instruments) is called the Bessel’s function in the honour of the German astronomer Friedrich Wilhelm Bessel.

The Bessel function was first defined by famous mathematician Daniel Bernoulli and then generalized by  Friedrich Bessel during an investigation of solutions of one of Kepler’s equations of planetary motion.

Bessel functions are used to solve in 3-D the wave equation at a given (harmonic) frequency. The solution is generally a sum of spherical Bessel’s functions that gives the acoustic pressure at a given location of the 3-D space.

The Bessel’s function is nothing but the canonical solutions of the Bessel’s differential equation-

for an arbitrary complex number α. Although α and −α produce the same differential equation, it is conventional to define different Bessel functions for these two values in such a way that the Bessel functions are mostly smooth functions of α. The most important cases are when α is an integer or half-integer.

The Bessel’s function can be categorized as follows-

Bessel functions of the first kind of order n and -n

We define the Bessel functions of the first kind as-

#### Bessel’s Function has a wide range of application in electromagnetic wave theory, solution to the radial Schrödinger equation (in spherical and cylindrical coordinates) for a free particle and many more. We will try understand few of them in the days to come.

Lets take a positive integer.

Now keep applying these rules repeatedly.

Statement:- This process will eventually reach the number 1, regardless of which positive integer is chosen initially.

In notation: (that is: ai is the value of f applied to n recursively i times; ai = fi(n)).

That smallest i such that ai = 1 is called the total stopping time of n. The conjecture asserts that every n has a well-defined total stopping time. If, for some n, such an i doesn’t exist, we say that n has infinite total stopping time and the conjecture is false. If the conjecture is false, it can only be because there is some starting number which gives rise to a sequence that does not contain 1. Such a sequence would either enter a repeating cycle that excludes 1, or increase without bound. No such sequence has been found.

For example starting with 12 we get the sequence 12, 6, 3, 10, 5, 16, 8, 4, 2, 1.

The sequence of numbers involved is sometimes referred to as the hailstone sequence or hailstone numbers (because the values are usually subject to multiple descents and ascents like hailstones in a cloud), or as wondrous numbers.

#### “Mathematics may not be ready for such problems.”- Paul Erdős

Defining the Collatz function f(x) as follows:

If x is a positive integer, then f(x) is the next number after x in its Collatz sequence.

To extend this function to the real numbers, simply recall that (-1)x = cos(πx). In fact, this gets us an extension to the complex numbers at the same time, and after some simplification we arrive at:

It is a holomorphic function and we can study the fractal that its iterates induce.

The fractal is located on the complex plane, and the horizontal line through the middle of the image is the real line. Black regions are regions in which the orbit of that number is bounded, while other colors indicate that the orbit of that number is unbounded (notice the large region of bounded numbers around z = 0). The big “spikes” that occur along the real line are, as we would expect, located at the integers (the image above is wide enough that you can see the spikes at z = -2, -1, 1, and 2).

###### The Collatz Conjecture is quite intimately connected with deep roots of nature and much more lies in the dark left to discovered about it which includes a PROOF.
• Let us imagine taking strolls in One Dimension. Well we seem to only move forward and backward along a single line in a fixed direction. We can imagine walking along the real number line. Now if we represent our position in this situation we would be using One Dimensional numbers.

Now lets move onto a Two Dimensional walk. We can simply represent these as moving around in a flat plane with definite X and Y axes to pin point our position. The question arises, ‘Can we denote our position by a single number?’ The answer is fascinating in itself because with this we delve into probably the most interesting space of numbers. The position in 2-D is represented by complex numbers. Its a very simple concept to denote a number using two directions to reach it from any other number.

Travelling in a complex plane is very simple. We have to select an initial position first. Lets talk about this example and select the initial position as the origin. Then moving a unit in positive x-direction, pausing for a while and then taking a counter-clockwise turn of 90 degrees and moving another unit but now in positive y-direction. We have reached (1+i). Its just like another number, we can add two of them together and multiply also. For example lets add up (1+i) and (-1+i) we get 2i on the positive y-axis. Again lets multiply i and (1+i). Now here is a little catch. What is ‘i’ we are talking so much about? Its called ‘iota’ which represents the square root of negative 1 [(-1)^(1/2)]. So if we multiply ‘i’ to itself we get back negative one. Lets check for ourselves, multiplying i and 1+i, we get i*(1+i)=i*1+i*i=i-1=-1+i. We turn 90 degrees counter-clockwise from (1+i) ending up in (-1+i). Hence we see that rotation is feasible.

### Now the real deal, to represent a single number for three dimensions.

By now many of you are thinking that if we can represent a 2-D number by ‘a+ib’ form then quite intuitively a 3-D number can be represented by something of the form ‘a+ib+jc’. Well it is a 3-D number but we cannot use it to move about in 3-D space. But here is where we get to see a brilliant mathematical mind excel.

One fine day Sir William Rowan Hamilton was taking strolls by a canal with his wife and the same question was hovering in his mind “How to represent a position in 3-D using 3-D number?” Then he was struck by an idea and he ran to a bridge over the canal and engraved his findings which now has been developed into an embedded stone carving.

The mind blowing idea was to use four dimensions to define a position and to move about in 3-D. Hence, the formula Sir Hamilton came up with was quite similar to the concept of complex numbers is as stated below- i^2=j^2=k^2=i*j*k=-1. Simple yet brilliant. This theorem gained massive popularity as it opens up a vast field to work with. Now that we know that these are actually 4-D so the number can be written as ‘a+ib+cj+dk’. We can now freely rotate and move about in 3-D. Suppose we take a point P(xi+yj+zk) in a 3-D plane. We need h=a+bi+cj+dk and h*=a-bi-cj-dk. The changed coordinates will be P*= h x P x h*.

Like the Quaternions there are Octonions but as we go up these lose some properties and become quite faint and is not studied widely.

• Mathematics in early days was seen as some kind of tool to make particular art forms perfect and in sync with nature. Now here comes the story of perfecting the art of poetry from 11th century India. Acharya Hemchandra Suri born in 1088 AD was a prodigy in himself to have expanded in vast fields like Grammar, Poetry, Lexicography, and most famously Mathematics. As we are particularly interested in mathematics I must acknowledge his enormous achievement in this area. Hemchandra described the Fibonacci sequence in 1150 AD fifty years before Fibonacci himself. He was considering a sequence of notes of length n, and he showed that these could be formed  by adding a short syllable to a note of length n − 1, or a long syllable to one of n − 2. The recursion relation F(n)= F(n-1) +F(n-1) represents the Fibonacci sequence. Hemchandra studied the rhythms of Sanskrit poetry. Syllables in Sanskrit are either long or short. Long syllables have twice the length of short syllables. The question he asked is ‘How many rhythm patterns with a given total length can be formed from short and long syllables?’ And this led to a revolution of beats and rhythms and even mathematics.

In the sunflower, individual

flowers are arranged along

curved lines which rotate

clockwise and counterclockwise.

Credits: The Fibonacci sequence in phyllotaxis.

– Laura Resta (Degree Thesis in Bio-mathematics)