Tivadar Danka Profile picture
Dec 29, 2022 15 tweets 5 min read Read on X
This stone tablet from 1800-1600 BC shows that ancient Babylonians were able to approximate the square root of two with 99.9999% accuracy.

How did they do it?
First, let’s decipher the tablet itself. It is called YBC 7289 (short for the 7289th item in the Yale Babylonian Collection), and it depicts a square, its diagonal, and numbers written around them.

Here is a stylized version.
As the Pythagorean theorem implies, the diagonal’s length for a unit square is √2. Let’s focus on the symbols there!

These are numbers, written in Babylonian cuneiform numerals. They read as 1, 24, 51, and 10.
Since the Babylonians used the base 60 numeral system (also known as sexagesimal), the number 1.24 51 10 reads as 1.41421296296 in decimal.
This matches √2 up to the sixth digit, meaning a 99.9999% accuracy!
The computational accuracy is stunning. To appreciate this, pick up a pen and try to reproduce this without a calculator. It’s not that easy!

Here is how the ancient Babylonians did it.
We start by picking a number x₀ between 1 and √2. I know, this feels random, but let’s just roll with it for now. One such example is 1.2, which is going to be our first approximation.
Because of this, 2/x₀ is larger than √2.
Thus, the interval [x₀, 2/x₀] envelopes √2.

From this, it follows that the mid-point of the interval [x₀, 2/x₀] is a better approximation to √2. As you can see in the figure below, this is significantly better!

Let's define x₁ by this.
Continuing on this thread, we can define an approximating sequence by taking the midpoints of such intervals.
Here are the first few terms of the sequence. Even the third member is a surprisingly good approximation.
If we put these numbers on a scatterplot, we practically need a microscope to tell the difference from √2 after a few steps.
Were the Babylonians just lucky, or did they hit the nail right on the head?

The latter one. If you are interested in the details, check out the full version of the post here: thepalindrome.substack.com/p/how-did-the-…
If you have enjoyed this explanation, share it with your friends and give me a follow! I regularly post deep-dive explainers such as this.
One more thing. The YBC 7289 tablet is actually clay, not stone.

This is my secret engagement tactic: I plant a simple error, then let others point it out.

(Just kidding. Seriously though, I always let a silly mistake through the cracks accidentally.)

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More from @TivadarDanka

Oct 14
In machine learning, we use the dot product every day.

However, its definition is far from revealing. For instance, what does it have to do with similarity?

There is a beautiful geometric explanation behind: Image
By definition, the dot product (or inner product) of two vectors is defined by the sum of coordinate products. Image
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Oct 13
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This is how to make sense of them. Image
We are going to study three matrix factorizations:

1. the LU decomposition,
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Oct 11
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I am dead serious. Deep down, this tiny rule is the cog in many methods. Ones that you use every day.

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First, the story:

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So, they turn to the wise neighbor for advice. Image
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Oct 9
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Even looking at the definition used to make me sweat, let alone trying to comprehend the pattern. Yet, there is a stunningly simple explanation behind it.

Let's pull back the curtain! Image
First, the raw definition.

This is how the product of A and B is given. Not the easiest (or most pleasant) to look at.

We are going to unwrap this. Image
Here is a quick visualization before the technical details.

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Oct 8
Graph theory will seriously enhance your engineering skills.

Here's why you must be familiar with graphs: Image
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They are all networks that establish relationships between objects. Image
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Oct 7
One of the coolest ideas in mathematics is the estimation of a shape's area by throwing random points at it.

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Here is what's behind the magic:
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You can imagine this as a rectangular dartboard. Image
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Again, you can imagine this as closing your eyes, doing a 360° spin, then launching a dart.

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