Mathematics news, articles and features | New ĐÓ°ÉÔ­´´ /topic/mathematics/ Science news and science articles from New ĐÓ°ÉÔ­´´ Tue, 14 Jul 2026 09:26:31 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.1 242057827 Maya mathematician’s name decoded alongside astronomical formula /article/2578746-maya-mathematicians-name-decoded-alongside-astronomical-formula/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Mon, 13 Jul 2026 23:01:00 +0000 /?p=2578746
The mathematical formula inscribed on a wall at the Maya site of Xultun, Guatemala
F.D. Rossi; H. Hurst

An ancient Maya astronomer-mathematician has been identified for the first time along with his complex calculations made around 1200 years ago, predicting the orbital cycles of Mars and Venus.

“This is the first direct mention of an ancestral Maya astronomer-mathematician by personal name,” says at the Massachusetts Institute of Technology.

It is also the oldest recorded name of an astronomer-mathematician ever known from anywhere in the Americas, he says.

The Maya civilisation flourished in Central America between roughly 2000 BC and AD 1697. They had advanced knowledge of mathematics and astronomy, but much of it was lost after the mass burning of their books by Spanish missionaries.

Since 2010, excavations at the site of Xultun, Guatemala, have revealed astronomical and mathematical inscriptions inside a small masonry building.

On the east and north-east wall of the building are around 50 texts that scientists believe are “rough drafts” made by Maya mathematicians as they charted and predicted the cycles of celestial objects relative to Earth and to one another.

Rossi and his colleagues have painstakingly deciphered one of these murals, named Text 19. At the bottom of the mural is the name of Sak Tahn Waax, which translates to White-chested Fox, who is believed the be the author of the formula.

Mounds at the the archaeological site of Xultun, Guatemala, where the inscription was found
Proyecto Regional ArqueolĂłgico San Bartolo-Xultun; PRASBX

Text 19 consists of 11 hieroglyphs, which had to be scanned, photographed and magnified under different illumination angles, and compared to other, later, astronomical-mathematical writings, before their meaning could be deduced.

While similar mathematical and astronomical expertise is found across Maya cities, the mention of Sak Tahn Waax, who the researchers believe was probably male, is unique.

“Whether this is an instance of the scribe himself signing his own calculation or attributing the intellectual work to another, we have a formula and the name of its creator, which serves to demonstrate the importance of this kind of intellectual contribution for Classic Maya people,” says Rossi.

The calendar system on display in Text 19 uses maths in relation to time periods, he says. These time periods were drawn from a 260-day calendar, a 365-day solar calendar, a 584-day approximation of Venus’s synodic cycle (when the planet returns to the same position relative to both Earth and the sun) and a 780-day approximation of Mars’s synodic cycle. The total length of the formula is five Venus synodic cycles or 2920 days, and the date that Text 19 most likely refers to is 7 November of AD 781 in the Julian calendar.

Exactly how this formula would have been applied is unknown, says Rossi, as it “isn’t incorporated into any larger body of work”.

“We think it is meant to concisely and meaningfully show the relationship between these two planets and human counts of time in ways that could then be applied to political ceremony, predictive astronomy and understandings of seasonality,” he says.

Such meticulous mathematical legwork would have been critical to structuring life in a world before computers, smartphones and weather apps, says Rossi.

Journal Reference:

Antiquity

]]>
2578746
Mathematicians put AI to work on Fermat’s last theorem /article/2533518-mathematicians-put-ai-to-work-on-fermats-last-theorem/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Fri, 10 Jul 2026 11:00:18 +0000 /?post_type=article&p=2533518 2533518 Explore the mind-bending and paradoxical art of M C. Escher /article/2528873-explore-the-mind-bending-and-paradoxical-art-of-m-c-escher/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Wed, 03 Jun 2026 17:00:32 +0000 /?post_type=article&p=2528873

]]>
2528873
Aim high but don’t shoot for the moon, mathematicians advise /article/2528468-aim-high-but-dont-shoot-for-the-moon-mathematicians-advise/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Fri, 29 May 2026 14:20:15 +0000 /?post_type=article&p=2528468
Setting your sights high can lead to bigger rewards – up to a point
Buena Vista Images/Getty Images
Shoot for the moon and even if you miss, you’ll land among the stars, so the saying goes. But shooting straight for the stars instead might actually be the more effective option, according to mathematicians. In life, people tend to try to be ambitious, yet not overly so, when it comes to pursuing their objectives, such as landing a better job, finding an appropriate partner or achieving political goals. However, quantifying this balance hasn’t been studied in detail, and much research has focused on when people stop looking too soon and aren’t ambitious enough, says at the University of Warwick, UK. Now, using mathematical models, at the University of Wyoming and his colleagues have found that the best outcomes for uncertain scenarios typically come from aiming high, but not unrealistically so. “You can prove that the optimal ambition is strictly above average and strictly finite, meaning above average but you don’t shoot for the moon,” says Burgess. He and his team first came up with a statistical model for how a person might weigh up different outcomes, varying their willingness to settle for more or less ambitious results. From this, they derived a formula for the overall reward someone might receive according to their satisfaction threshold. Then they tested this model with random potential outcomes and varied how they might appear, such as how many outcomes a person has to choose between in a set period of time, how many bad outcomes compared with good outcomes there were, or how much time and effort it took to choose a particular outcome.
After running thousands of simulations and comparing the results to real-world datasets, such as university applications and US election polls, Burgess and his team found that the optimal outcomes indeed came when people aimed above the average reward, but not near the maximum. This wasn’t surprising given the common wisdom that people tend to follow, says Burgess, but the team was surprised to find that this picture changes when scenarios are biased towards one very bad or good outcome. Typically, if most outcomes are mediocre but one is extremely bad, such as a recession once every 10 years, the common wisdom is to be cautious. But Burgess and his team found that the best approach is actually to be more ambitious than you would be if the rewards were more even. “We find, compared to the average, you want to be a little bit more ambitious [in these scenarios], because you don’t want to be thrown off by these bad years dragging the average down.” Similarly, when one outcome is extremely good, such as a start-up making $1 billion or nothing, you should be a little less ambitious than average. “It’s actually initially so counterintuitive that when my colleagues showed me the result, I thought that they had made a mistake,” says Burgess. Hills, who wasn’t involved in the study, points out that people might have different ideas on how they balance risk and reward. “Some people may prefer to have a stable income rather than an ‘optimal’ but potentially riskier income, for example,” he says. “Moreover, some environments are winner-takes-all environments, where social comparisons are more important, and in those cases risk-seeking ambition may be more appropriate.”
Journal reference:

Physical Review E

]]>
2528468
Mathematical AI helps researchers crack 50-year-old problem /article/2528290-mathematical-ai-helps-researchers-crack-50-year-old-problem/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Thu, 28 May 2026 15:00:57 +0000 /?post_type=article&p=2528290 2528290 Start-ups are racing to revolutionise mathematics with AI /article/2528160-start-ups-are-racing-to-revolutionise-mathematics-with-ai/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Thu, 28 May 2026 12:00:09 +0000 /?post_type=article&p=2528160 2528160 Mathematicians stunned by AI’s biggest breakthrough in mathematics yet /article/2527564-mathematicians-stunned-by-ais-biggest-breakthrough-in-mathematics-yet/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Thu, 21 May 2026 15:13:12 +0000 /?post_type=article&p=2527564 2527564 The mathematician who doesn’t exist /article/2525614-the-mathematician-who-doesnt-exist/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Fri, 08 May 2026 08:00:34 +0000 /?post_type=article&p=2525614 2525614 Why quantum physics says there’s a multiverse /video/2523898-why-quantum-physics-says-theres-a-multiverse/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Wed, 22 Apr 2026 17:00:29 +0000 /?post_type=video&p=2523898

Most people think the multiverse is just about “what-if” scenarios – other versions of you where you took that job in another city or turned left instead of right. But to a physicist, the multiverse isn’t a storytelling device; it’s a mathematical consequence of our best theories of the universe.

In this video, we dive deep into the actual science behind multiple realities. We strip away the sci-fi tropes to explore what physics says about how the multiverse could actually exist and how we might eventually prove it.

Read more: Supermassives to fuzzballs every black hole explained

]]>
2523898
Fermat’s Last Theorem: still a must-read about a 350-year maths secret /article/2523771-fermats-last-theorem-still-a-must-read-about-a-350-year-maths-secret/?utm_campaign=RSS|NSNS&utm_content=mathematics&utm_medium=RSS&utm_source=NSNS Wed, 22 Apr 2026 11:00:36 +0000 /?post_type=article&p=2523771 2523771