Tuesday, December 5, 2017

December 05, 2017 Tuesday

Bedtime Story 


Mathematics of Difference Machine 


We shall continue with the quote from the 1953 book “Faster than Thought” written by Bertram Bowden that describes best how Babbage got the idea of making mechanical machines to mass-produce mathematical tables.

“Three or four of their mathematicians decided how to compute the tables, half a dozen more broke down the operations into simple stages, and the work itself, which was limited to addition or subtraction, was done by eighty computers who knew only these two arithmetical processes.

Here, for the first time, mass production was applied to arithmetic, and Babbage was seized by the idea that the labors of the unskilled computers could be taken over completely over by machinery which would be quicker and more reliable.”

It was then in 1819 that the mathematician polymath began to seriously work on a mechanical machine that would be able to churn out solutions to polynomial functions.

Now I was left thinking why make a machine that would solve polynomial functions for making mathematical charts of logarithmic and trigonometric functions.

On some researching I came to find out that most mathematical functions including logarithmic and trigonometric functions can be approximated by polynomials.

You see, at the very heart of even the first mechanical computing device, even a theoretical one, there lay pure mathematics.

Let me briefly take you through the mathematics of what in future would be known as the difference machine.

Babbage used two mathematical concepts for designing his machine: finite difference and divided differences.

Let me first state what a finite difference is and then we shall discuss at length divided difference that was used for the machine.

For two numerical variables a and b, finite difference is represented by the formula f(x + b) – f(x + a).

While that may not mean much to most people like us, it seems it is a very useful concept for mathematicians.

This is so because the derivatives of finite differences are crucial in finite difference methods as they help to provide solutions to differential equations.

Divided differences, on the other hand, is a recursive division process.

When used as an algorithm, it can help to arrive at the coefficients of polynomial equations.

The mathematics and it’s notation would be very alien to the mind of any average ape, but still I will briefly mention how divided differences works out.

You know that polynomial equations can be tackled both algebraically as well as geometrically as in graph forms.

Polynomials have in their equations or functions variables in the form of x, y, z and so on and coefficients.

Polynomials are widespread and encountered in several areas of different sciences and mathematics.

Stay tuned to the voice of an average story storytelling chimpanzee or login at http://panarrans.blogspot.com
                              
Good night mon ami and my fellow cousin ape.
                           
  
                

             












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Another great educator and a teacher that I am aware of is Professor Subhashish Chattopadhyay in Bangalore, India.

While I narrate stories, Professor Subhashish an electronic engineer and a former professor at BARC, does and teaches real mathematics and physics.

He started the participation of Indian students at the International Physics Olympiad.

Do visit him here:


All his books can be downloaded for free through this link:


For edutainment and English education of your children, I recommend this large collection of Halloween Songs for Kids:

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