#mathematics

mkwadee@diasp.eu

Forgive the recent apparent obsession (I'd call it a fascination) with the #cycloid but I've just discovered something I'd not heard of before. It is also called a #TautochroneCurve or #Isochrone curve, which means that a particle starting from any location on the curve will get to the #MinimumPoint at precisely the same time as a particle starting at any other point.

Here's an #animation I wrote today in #Maxima which illustrates the property.

Tautochrone curve with animated particles

#Dynamics #Kinematics #Mathematics #AppliedMathematics #Mechanics #ClassicalMecanics #WxMaxima #FreeSoftware #MyWork #CCBYSA

mkwadee@diasp.eu

A couple of weeks ago, I posted an #animation of a point on a circle generating a #cycloid.
Generating a cycloid

If you turn the curve "upside down", you get the #BrachistochroneCurve. This curve provides the shortest travel time starting from one cusp to any other point on the curve for a ball rolling under uniform #gravity. It is always faster than the straight-line travel time. This is an interesting problem in #ClassicalMechanics and exercised luminaries like #Newton and #Euler. I think the latter's use of the #CalculusOfVariations is a stroke of genius.

Anyway, the #animation took a bit of thought as it requires a bit of #Mechanics, some #Integration and is made a bit more tricky as the curve is multi-valued and so you need to treat different branches separately. The #AnimatedGif was produce with #WxMaxima.

For some reason that I can't fathom, I'm not finding it possible to upload the graphic and so if you want to see it, please use the link below.
https://drive.google.com/file/d/1edcZnZ_uiaQOQrFB03XHslNUVCmxcSut/view?usp=drive_link

#MyWork #CCBYSA #Mathematics #Maths #AppliedMathematics #Physics #Calculus

theaitetos@diaspora.psyco.fr

Lenin and the Art of the Impossible

The Tree of Woe contemplates the impossibility of revolution:

Every rock star began as a long-haired freak in a garage with a dream of a record deal and groupies. Every best-selling author began as a would-be writer being told that no one buys books. Every successful entrepreneur began by faking it until he made it. Every revolutionary began as a nobody. None of them had the odds on their side. Victory wasn’t assured; it wasn’t even plausible; it was so unlikely as to seem impossible! It was all a LARP… until it wasn’t.¹

The reason so many successful actors, musicians, and politicians are narcissists is that in order to become a highly successful actor, musician, or politician, you have to take long shots against long odds. Often the only people who take long shots against long odds are the people who are self-deluded enough to think they’re better than all the others who tried and failed.

People like Lenin.

#Lenin was a #self-deluded #nobody. He was a #loser. He had accomplished virtually nothing with his life except a stint in the #gulag. He was nowhere near as influential as the well-established figures who currently are prominent among the dissident right. He wasn’t even… #NickFuentes.

But Lenin he changed the world. Sure, he changed it for the worse — but he changed it. And so could we.

The advantage we have as #Christian #Nationalists presently subject to the #wicked #madness of #ClownWorld is that we know, as Bob Marley said, #Babylon is going to fall. Its fall is absolutely 100-percent guaranteed, because Clown World is a #rebellion against #God, God’s #Law, and God’s #Creation. It is a rebellion against #morality, #mathematics, #Nature, and #physics, and as such, it cannot possibly be sustained.

It is our job to be the hard place upon which Clown World shatters. Because Clown World is caught between a rock and a hard place, and the rock, being #JesusChrist, isn’t going to break.

faab64@diasp.org

Researchers have found the #Pythagorean theorem on ancient #Babylonian clay tablets that predate Pythagoras by 1,000 years! The tablets were discovered in what is now Iraq and date back to the Old Babylonian period (1900-1600 BC). They contain mathematical calculations and diagrams that use the principles of the Pythagorean theorem to solve problems related to land surveying, construction and astronomy.
More about this amazing discovery: https://hasanjasim.online/unearthing-history-pythagorean-theorem-discovered-on-clay-tablet-preceding-pythagoras-by-1000-years/

#Mathematics #History #Science #Archeology

mkwadee@diasp.eu

Imagine a circular wheel rolling, without skidding, on a flat, horizontal surface. The #locus of any given point on its #circumference is called a #cycloid. It is a #periodic #curve over a length equivalent to the #circle's circumference and has #cusps whenever the point is in contact with the surface (i.e. the two sides of the curve are tangentially vertical at that point).

Interestingly, it is also the curve that solves the #Brachistochrone problem, which means that starting at a cusp on the inverted curve (maximum height), a frictionless ball will roll under uniform gravity in minimum time from the start to any other point on the curve, even beating the straight line path.

#Mathematics #Geometry #Maths #AppliedMathematics #Mechanics #Kinematics #Dynamics #Physics #MyWork #CCBYSA #WxMaxima

brainwavelost@nerdpol.ch

Please do the #mathematics
How many nights of such an attack are needed to deplete the military budgets?
- The Iranian Attack cost only $110 million to Israel on air-defense missiles.
- It cost the US/UK roughly 10 times this amount to intercept the projectiles over Jordan.
- Israeli sources reported that the cost of air defenses used so far tonight has reached almost $1.1 billion.
- 21 Oct 2023 — The IDF's annual budget of around $23.6 billion, as of 2023, surpasses the total military spending of Egypt, Iran, Lebanon and Jordan combined.
- Israel is placed at number 15 on the list of countries with the highest military expenditure in 2022 - with the US ($877 billion), China ($292 billion) and Russia ($86.4 billion) taking the top three places, respectively. With a $75 billion expenditure, Saudi Arabia was placed at the fourth place, while Iran ($6.8 billion) only made it to number 34.
- JERUSALEM, Jan 15 (Reuters) - Israel's cabinet on Monday passed a disputed 2024 state budget with amendments adding 55 billion shekels ($15 billion) of spending after over three months of war with Hamas, the Finance Ministry and Prime Minister's Office said.

#IranAttack #Iran #Israel
Source for the mathematics inspiration

anonymiss@despora.de

The #Number #Five Is Nothing Like the Number #Four

Our #brains #process them in completely different ways.

source: https://www.theatlantic.com/science/archive/2023/12/processing-numbers-four-five-biology/676380/?gift=bt1n2vDjnfxxzkH_t7B8m4IBC69GwvvR7NuTR_ScRwg

More than 150 years ago, the economist and philosopher William Stanley Jevons discovered something curious about the number four. While musing about how the mind conceives of numbers, he tossed a handful of black beans into a cardboard box. Then, after a fleeting glance, he guessed how many there were, before counting them to record the true value. After more than 1,000 trials, he saw a clear pattern. When there were four or fewer beans in the box, he always guessed the right number. But for five beans or more, his quick estimates were often incorrect.

Jevons’s description of his self-experiment, published in Nature in 1871, set the “foundation of how we think about numbers,” Steven Piantadosi, a professor of psychology and neuroscience at UC Berkeley, says. It sparked a long-lasting and ongoing debate about why there seems to be a limit on the number of items we can accurately judge to be present in a set.

Now a new study in Nature Human Behaviour has edged closer to an answer by taking an unprecedented look at how human brain cells fire when presented with certain quantities. Its findings suggest that the brain uses a combination of two mechanisms to judge how many objects it sees. One estimates quantities. The second sharpens the accuracy of those estimates—but only for small numbers.

It’s “very exciting” that the findings connect long-contested ideas to their neural underpinnings, Piantadosi, who was not involved in the study, says. “There’s not many things in cognition where people have been able to pinpoint very plausible biological foundations.” Although the new study does not end the debate, the findings start to untangle the biological basis for how the brain judges quantities, which could inform bigger questions about memory, attention, and even mathematics.

The ability to instantly judge the number of items in a set doesn’t have anything to do with counting. Human infants have this number sense even before they learn language. And it’s not limited to humans: Monkeys, bees, fish, crows, and other animals also have it. A monkey needs to be able to quickly judge the number of apples in a tree, and also how many other monkeys it’s competing against for those apples. A lion, when confronted by other lions, has to decide whether to fight or flee. Honeybees need to know which area has the most flowers for foraging. A guppy has better chances of escaping a predator if it joins a shoal. “The bigger the shoal, the safer that little fish is,” Brian Butterworth, a cognitive neuroscientist at University College London who was not involved in the new work, says.

This innate number sense is therefore crucial to survival, increasing an animal’s chances of finding food, avoiding predators, and ultimately reproducing. “It simply pays off for the survival of an animal to be able to differentiate numeric quantities,” says Andreas Nieder, a professor of animal physiology at the University of Tübingen, in Germany, who co-led the new study. The fact that this ability is found in diverse animals, from insects to humans, suggests that it arose a long time ago, and its neural basis has interested cognitive scientists for decades.

In 2002, when Nieder was working with the neuroscientist Earl Miller at MIT as a postdoctoral fellow, they published one of the first pieces of evidence that numbers are linked to specific neurons. In a behavioral experiment using monkeys, they found that these neurons, which are located in the prefrontal cortex, where higher-level processing takes place, have preferred numbers—favorite numbers that, when perceived, make the cells light up in brain scans.

For example, some neurons are tuned to the number three. When they’re presented with three objects, they fire more. Other neurons are tuned to the number five and fire when presented with five objects, and so on. These neurons aren’t exclusively committed to their favorites: They also fire for numbers adjacent to them. (So the neuron tuned to five also fires for four and six objects.) But they don’t do it as often, and as the presented number gets further away from the preferred number, the neurons’ firing rate decreases.

Nieder was excited by the deeper questions the work presented about the development of mathematical ability. Numbers lead to counting, and then to symbolic number representations, such as Arabic numerals that stand in for quantities. Those symbolic numbers underpin arithmetic and mathematics. “For us to know how numbers are represented [in the brain] is setting the foundation for everything that’s coming later,” Nieder says.

He went on to learn as much as he could about number neurons. In 2012, his team discovered that the neurons respond to their preferred numbers when they’re estimating the quantity of a set of sounds or visual items. Then, in 2015, they showed that crows also have number neurons. In a show of “amazing crow behavior,” Nieder says, the birds could correctly peck the number of dots or Arabic numerals displayed to them.

However, no one had identified number neurons in humans. That’s because studying the human brain is notoriously difficult: Scientists usually can’t access its activity ethically in experiments while people are alive. Brain-imaging tools don’t have the resolution needed to distinguish individual neurons, and scientific curiosity alone can’t justify implanting invasive electrodes in the brain.

To peer into a living brain, Nieder needed to find patients who already had electrode implants and who would consent to being part of his research. In 2015, he contacted Florian Mormann—the head of the cognitive and clinical neurophysiology group at the University of Bonn, who is one of the few clinicians in Germany who does single-cell recordings in human patients—to see if he and his patients would join Nieder’s search for human number neurons. Mormann said yes, and their teams got to work examining the brain activity of his epilepsy patients, who had previously had electrodes implanted to improve their medical care.

Nine patients did simple calculations in their heads while researchers recorded their brain activity. Sure enough, in the data, Nieder and Mormann saw neurons firing for their preferred numbers—the first time number neurons had been identified in the human brain. They published their findings in Neuron in 2018.

Neuroscientists are of course driven to understand the mind, Nieder says, so “finding such neurons in the human brain is extremely rewarding.” To continue their quest, Nieder and Mormann launched a new study to find out how the neurons represent odd and even numbers. The researchers recruited 17 epilepsy patients and showed them flashes of dots, ranging in number from one to nine, on computer screens. The participants indicated whether they saw an odd or even number while electrodes recorded their brain activity.

Over the next few months, as Esther Kutter, a graduate student studying with Nieder, analyzed the resulting data, she saw a clear pattern emerge—right around the number four. The data, which comprised 801 recordings of single neurons firing, showed two distinct neural signatures: one for small numbers and one for large. Above the number four, the neurons’ firing for their preferred number grew progressively less precise, and they erroneously fired for numbers close to the preferred one. But for four and below, the neurons fired precisely—with the same small amount of error whether firing for one, two, three, or four objects. The misfiring in response to other numbers was largely absent.

This surprised Nieder. He hadn’t previously seen this boundary in his animal studies: Those experiments had included numbers only up to five. He hadn’t set out to probe Jevons’s observation, nor did he expect to see a neural boundary confirm what behavioral studies had found. Up until that point, he had been convinced that the brain had just one mechanism for judging numbers—a continuum that got fuzzier the higher the numbers climbed.

The new data changed that for him. “This boundary popped out in different ways,” Nieder says. The neural patterns suggested that there is an additional mechanism that suppresses smaller-number neurons from firing for the wrong numbers. Piantadosi and Serge Dumoulin, the director of the Spinoza Centre for Neuroimaging, in Amsterdam, had both previously published papers supporting the idea that only one mechanism manages the neuronal interpretation of numbers. Yet they were struck by Nieder and Mormann’s new data showing that there are, in fact, two separate mechanisms.

It’s “real validation that large and small numbers have different neural signatures,” Piantadosi says. But he cautioned that two signatures can emerge from a single process; whether it should be described as one mechanism or two is still up for debate. “This is just beautiful,” Dumoulin says. “This type of data wasn’t available, and certainly not in humans.”

However, one more major uncertainty remains. The researchers didn’t study the prefrontal or parietal cortices, where the majority of number neurons are located in monkeys. Instead, because of where the patients’ electrodes were inserted, the study focused on the medial temporal lobe, which is involved in memory. It isn’t the first place in the human brain you’d investigate to understand numbers, Nieder says. “On the other hand, the medial temporal lobe is also not the worst place to look for such neurons.”

That’s because the medial temporal lobe is linked to number sense. It’s active when children learn calculations and multiplication tables, and it’s intimately connected to regions where number neurons are thought to lie, Nieder says. It’s not clear why number neurons are present in this region, Butterworth says. “The things that we thought were specific to the parietal lobe seem to be reflected also in parts of the medial temporal lobe.”

One possibility is that these aren’t number neurons at all. Pedro Pinheiro-Chagas, an assistant professor of neurology at UC San Francisco, thinks these could instead be concept neurons, which are located in the medial temporal lobe and are each linked to specific concepts. For example, one famous study found a concept neuron that responded directly and specifically to images of the actor Jennifer Aniston. “Maybe they are not finding the mechanisms of the number sense … Maybe they’re finding concept cells that are also applied to numbers,” Pinheiro-Chagas says. “As you have the concept of Jennifer Aniston, you could have the concept of three.”

The level of analysis is “just really outstanding,” says Marinella Cappelletti, a cognitive neuroscientist at Goldsmiths, University of London. The researchers provide “compelling evidence” for dual mechanisms in the medial temporal lobe. She thinks it would be valuable, however, to see whether these mechanisms operate in other brain regions as well, if the opportunity presents itself. “I see these findings as looking into a window,” Cappelletti says. “It would be nice to open it up a bit more and tell us more about the rest of the brain.”

The new findings have clear parallels to the limitations of working memory. People can hold only a certain number of objects in their awareness, or working memory, at one time. Experiments show that number is also four. The agreement between the boundary of number sense and that of working memory is “hard to ignore,” Cappelletti says.

The mechanisms may be related. In previous studies of number sense, when a participant stopped paying attention, they lost their ability to precisely judge the true value of numbers four and below. That suggests that the small-number system, which suppresses adjacent misfirings with small numbers, might be intimately tied to attention. Nieder now hypothesizes that the small-number system turns on only when you’re paying attention to what’s in front of you. He’s hoping to test this idea in monkeys, in addition to looking for a neural boundary at four that their experiments haven’t yet captured.

The latest research “seems to be the beginning of a new leap” in our understanding of number perception, Pinheiro-Chagas says, which could have useful applications. He hopes it will be fodder for discussions in math education and even artificial intelligence, which struggles with numerosity perception. Large language models are “pretty bad at counting,” he says. “They are pretty bad at understanding quantities.”

Better characterizing number neurons can also help us understand who we are. Next to the language system, number representation is humans’ second-biggest symbol system. People use numbers frequently and in a variety of ways, and we and our ancestors have used math to describe the world for millennia. In that sense, math is a fundamental part of being human. And, as this study starts to show, this calculation prowess might all stem from a finely tuned network of neurons in the #brain.

#science #mathematics #education #news #numbers

108madhuri@nerdpol.ch

Robert Edward Grant is a polymath, #visionary #thinker, and esteemed scholar who has made significant contributions to various fields of study, including #quantum #physics, #mathematics, #technology, and #ancient #civilizations. With a fervent curiosity and an insatiable thirst for knowledge, Grant has embarked on a quest to unravel the mysteries that lie at the intersection of #science, #history, and #consciousness.
Beyond his profound understanding of quantum physics, Grant possesses a profound fascination with ancient civilizations. His research has unearthed #hidden #knowledge and #wisdom from the #ancient #world, shedding light on the profound connections between these ancient cultures and the principles of quantum mechanics.
https://www.youtube.com/watch?v=sT3sHxeB8eU