Mathematicians Invent New Way to Slice Pizza into Exotic Shapes

Here’s one thing to impress your friends with the next time you order a takeaway: new and exotic ways to slice a pizza.

Most of us divide a pizza using straight cuts that all meet in the middle. But what if the centre of the pizza has a topping that some people would rather avoid, while others desperately want crust for dipping?

Mathematicians had previously come up with a recipe for slicing – formally known as a monohedral disc tiling – that gives you 12 identically shaped pieces, six of which form a star extending out from the centre, while the other six divide up the crusty remainder. You start by cutting curved three-sided slices across the pizza, then dividing these slices in two to get the inside and outside groups, as shown below.

Now Joel Haddley and Stephen Worsley of the University of Liverpool, UK, have generalised the technique to create even more ways to slice. The pair have proved you can create similar tilings from curved pieces with any odd number of sides – known as 5-gons, 7-gons and so on (shaded below) – then dividing them in two as before. “Mathematically there is no limit whatsoever,” says Haddley, though you might find it impractical to carry out the scheme beyond 9-gon pieces.

Haddley and Worsley went one further by cutting wedges in the corners of their shapes, creating bizarre, spikey pieces that still form a circle (the image below shows this happening with 5-gons). “It’s really surprising,” says Haddley.

 

As with many mathematical results, its usefulness isn’t immediately obvious. The same is true of another pizza theorem, which looks at what happens when a pizza is haphazardly cut off-centre.

“I’ve no idea whether there are any applications at all to our work outside of pizza-cutting,” says Haddley, who has actually tried slicing a pizza in this way for real (see below). But the results are “interesting mathematically, and you can produce some nice pictures”.

For more such insights, log into www.international-maths-challenge.com.

*Credit for article given to Jacob Aron*


New research demonstrates more effective method for measuring impact of scientific publications

Newly published research reexamines the evaluation of scientific findings, proposing a network-based methodology for contextualizing a publication’s impact.

This new method, which is laid out in an article co-authored by Alex Gates, an assistant professor with the University of Virginia’s School of Data Science, will allow the scientific community to more fairly measure the impact of interdisciplinary scientific discoveries across different fields and time periods.

The findings are published in the journal Proceedings of the National Academy of Sciences.

The impact of a scientific publication has long been quantified by citation count. However, this approach is vulnerable to variations in citation practices, limiting the ability of researchers to accurately appraise the true importance of a scientific achievement.

Recognizing this shortcoming, Gates and his co-authors—Qing Ke of the School of Data Science at City University of Hong Kong and Albert-László Barabási of Northeastern University—propose a network-normalized impact measure. By normalizing citation counts, their approach will help the scientific community avoid biases when assessing a diverse body of scientific findings—both going forward and retrospectively.

In addition to the published findings, the authors have also implemented the method in an open-source package where anyone who is interested can find instructions on how to try this approach themselves on different examples of scientific research.

Gates joined UVA’s School of Data Science in 2022.

For more such insights, log into our website https://international-maths-challenge.com

Credit of the article given to University of Virginia