# IntMath Newsletter: Witch Agnesi, Hypertools, Etalumis

By Murray Bourne, 28 Nov 2019

28 Nov 2019

In this Newsletter:

1. New on IntMath: Witch of Agnesi

2. Resources: Hypertools, tech

3. Math in the news: Light, Etalumis

4. Math movies: Mod, culture

5. Math puzzle: Mean, mode

6. Final thought: 20

## 1. New on IntMath: Witch of Agnesi

I've started a series of articles on historical math curves.

The first one is the "Witch of Agnesi", which is not a witch at all, and was included in a math handbook written by a rarity of the 18th century: a female mathematics academic. See: Witch of Agnesi |

The page has some background to the curve and some animations explaining how it is constructed. There's even a connection between this curve and calculus.

## 2. Resources

### (a) HyperTools transforms complex data into visualizable shapes

Data will be the most valuable commodity in the 21st century, and those able to make sense of it will do well. This tool could help.

Dartmouth College has released the open-source package See: HyperTools transforms complex data into visualizable shapes |

### (b) Teaching Math With Technology: 8 Virtual Resources

Most of you will know I'm a fan of technological approaches to teaching and learning of mathematics.

Here are some resources (some free, some paid) that can help with this. |

## 3. Math in the news

### (a) Mathematics at the speed of light

Image processing is at the core of augmented reality, autonomous driving and facial recognition. But because it's currently achieved using electronic circuits, it's too slow.

A new optical computing and imaging technique operates at the speed of light and the mathematical operation itself consumes no energy. |

### (b) Etalumis 'reverses' simulations

Simulations are developed to try to understand and predict the future of such things as climate change, disease transmission and cosmic events. But how do we interpret and make best use of new data?

A new system, called Etalumis ("simulate" spelled backwards) developed by a group of scientists from the University of Oxford and others, makes use of Bayes' Theorem (which is a way to calculate probabilities based on probabilities for events that have already occurred) to solve such problems.

Etalumis uses Bayes inference to improve existing simulators via machine learning. |

## 4. Math Movies -

### (a) Modular Arithmetic Visually Explained

This video (by Brilliant) explains modular arithmetic. It moves fairly quickly, but that's the beauty of videos - you can pause and go over parts. |

### (b) Charting Culture

This is an interesting way to visualize the spread of culture throughout history. The animation distils hundreds of years of culture into just five minutes. See: Charting Culture |

The comments rightly point out some of the cultural biases in the video, but it probably can't be helped when compressing such a highly complex data set into just 5 minutes.

## 5. Math puzzles

**Clarification: **The puzzle in the **September** IntMath Newsletter asked about the probability involved in a given octagon. There were conflicting answers given, and I provided a solution. However, it turned out my attempt had a problem, and **Tomas**' answer was correct. You can see the discussion here: Octagon discussion

The puzzle in the last (**October**) IntMath Newsletter asked about "square ages".

There were two parts to the puzzle, and Thomas was the only one who got both parts correct. (Special mention to Don who got the first part, and the range of years correct for the second part.)

### New math puzzle: Mean or median?

The table below shows the daily earnings for two workers for 5 days and the mean and the median salary.

Person A | Person B | |
---|---|---|

Day 1 | $100 | $72 |

Day 2 | $87 | $97 |

Day 3 | $90 | $70 |

Day 4 | $10 | $71 |

Day 5 | $91 | $100 |

Mean | $75.60 |
$82 |

Median | $90 |
$72 |

(a) Which statistic, the mean or the median, would be best to describe the *typical* daily salary for the 5 days for Person A? How about for person B?

You can leave your responses here.

## 6. Final thought - 2020 and 20 years

Jean-Francois Rischard, ex-World Bank vice president wrote the book *High Noon: 20 Global Problems, 20 Years To Solve Them* in 2003. Sadly, the scorecard for his 20 Problems is rather abysmal as we approach the 20th year of the century.

Deforestation of the Amazon, which has become worse under Bolsanaro [source]

I wrote a summary review of the book in 2008. I concluded by saying:

Mathematics is involved in the solutions for all these problems. So instead of doing algebra with no purpose other than to pass an examination, let's put our mathematical efforts into coming up with ways to solve (at least some of) these problems.

Governments should be placing many of the 20 Global Problems in the center of their policy frameworks, but they're not, and too many governments are actively doing the opposite.

As a counterpoint to the destruction of the Amazon, here's what one Brazilian photographer achieved in 18 years, something that should be happening worldwide:

Sebastião Salgado planted 2.7 million trees to restore his family's cattle ranch [Image source]

Please be careful who you vote for...

Until next time, enjoy whatever you learn.

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