Nikola Tesla

Tesla died on 7 January 1943 at age 86 from heart thrombus, alone in room 3327 of the New Yorker Hotel.

— Wikipedia on Nikola Tesla

Another influential book was a biography of Nikola Tesla, the brilliant Serb scientist; though Tesla’s contributions arguably matched Thomas Edison’s — and his ambitions were grand enough to impress even Page — he died in obscurity.

“I felt like he was a great inventor and it was a sad story,” says Page. “I feel like he could’ve accomplished much more had he had more resources. And he had trouble commercializing the stuff he did. Probably more trouble than he should’ve had.

I think that was a good lesson. I didn’t want to just invent things, I also wanted to make the world better, and in order to do that, you need to do more than just invent things.”

— p. 13

— In the Plex: How Google Thinks, Works, and Shapes Our Lives

— Steven Levy

2012.05.30 Wednesday ACHK

Laser mice

The laser mouse uses an infrared laser diode instead of a LED to illuminate the surface beneath their sensor. As early as 1998, Sun Microsystems provided a laser mouse with their Sun SPARCstation servers and workstations. However, laser mice did not enter the mainstream market until 2004, when Paul Machin at Logitech, in partnership with Agilent Technologies, introduced its MX 1000 laser mouse.

This mouse uses a small infrared laser instead of a LED and has significantly increased the resolution of the image taken by the mouse. The laser enables around 20 times more surface tracking power to the surface features used for navigation compared to conventional optical mice.

— Wikipedia on Optical mouse

2012.05.18 Friday ACHK

Strong Law of Small Numbers

“The Strong Law of Small Numbers” is a humorous paper by mathematician Richard K. Guy and also the so-called law that it proclaims: “There aren’t enough small numbers to meet the many demands made of them.” In other words, any given small number appears in far more contexts than may seem reasonable, leading to many apparently surprising coincidences in mathematics, simply because small numbers appear so often and yet are so few. Guy’s 1988 paper gives 35 examples in support of this thesis. This can lead inexperienced mathematicians to conclude that these concepts are related, which in fact they are not.

— Wikipedia on Strong Law of Small Numbers

2012.05.17 Thursday ACHK

Sample variance

In statistics, Bessel’s correction, named after Friedrich Bessel, is the use of n – 1 instead of n in the formula for the sample variance and sample standard deviation, where n is the number of observations in a sample: it corrects the bias in the estimation of the population variance, and some (but not all) of the bias in the estimation of the population standard deviation.

That is, when estimating the population variance and standard deviation from a sample when the population mean is unknown, the sample variance is a biased estimator of the population variance, and systematically underestimates it. Multiplying the standard sample variance by n/(n – 1) (equivalently, using 1/(n – 1) instead of 1/n in the estimator’s formula) corrects for this, and gives an unbiased estimator of the population variance.

— Wikipedia on Bessel’s correction

The two estimators only differ slightly as can be seen, and for larger values of the sample size n the difference is negligible. While the first one may be seen as the variance of the sample considered as a population, the second one is the unbiased estimator of the population variance, meaning that its expected value E[s^2] is equal to the true variance of the sampled random variable; the use of the term n – 1 is called Bessel’s correction.

— Wikipedia on Sample variance

2012.05.16 Wednesday ACHK

Forensic Accounting

Benford’s law, also called the first-digit law, states that in lists of numbers from many (but not all) real-life sources of data, the leading digit is distributed in a specific, non-uniform way. According to this law, the first digit is 1 about 30% of the time, and larger digits occur as the leading digit with lower and lower frequency, to the point where 9 as a first digit occurs less than 5% of the time.

Mathematical statement

… this is the distribution expected if the logarithms of the numbers (but not the numbers themselves) are uniformly and randomly distributed. For example, a one-digit number x starts with the digit 1 if 1 <= x < 2, and starts with the digit 9 if 9 <= x < 10. Therefore, x starts with the digit 1 if log 1 <= log x < log 2, or starts with 9 if log 9 <= log x < log 10. The interval [log 1, log 2] is much wider than the interval [log 9, log 10] (0.30 and 0.05 respectively); therefore if log x is uniformly and randomly distributed, it is much more likely to fall into the wider interval than the narrower interval, i.e. more likely to start with 1 than with 9.

Explanations

Outcomes of exponential growth processes

The precise form of Benford’s law can be explained if one assumes that the logarithms of the numbers are uniformly distributed; for instance that a number is just as likely to be between 100 and 1000 (logarithm between 2 and 3) as it is between 10,000 and 100,000 (logarithm between 4 and 5). For many sets of numbers, especially sets that grow exponentially such as incomes and stock prices, this is a reasonable assumption.

Applications

In 1972, Hal Varian suggested that the law could be used to detect possible fraud in lists of socio-economic data submitted in support of public planning decisions. Based on the plausible assumption that people who make up figures tend to distribute their digits fairly uniformly, a simple comparison of first-digit frequency distribution from the data with the expected distribution according to Benford’s law ought to show up any anomalous results.

Following this idea, Mark Nigrini showed that Benford’s law could be used in forensic accounting and auditing as an indicator of accounting and expenses fraud. In the United States, evidence based on Benford’s law is legally admissible in criminal cases at the federal, state, and local levels.

Limitations

Benford’s law can only be applied to data that are distributed across multiple orders of magnitude.

— Wikipedia on Benford’s law

2012.05.15 Tuesday ACHK

A Few Tricks

Every Mathematician Has Only a Few Tricks

A long time ago an older and well-known number theorist made some disparaging remarks about Paul Erdos’s work. You admire Erdos’s contributions to mathematics as much as I do, and I felt annoyed when the older mathematician flatly and definitively stated that all of Erdos’s work could be “reduced” to a few tricks which Erdos repeatedly relied on in his proofs.

What the number theorist did not realize is that other mathematicians, even the very best, also rely on a few tricks which they use over and over.

Take Hilbert. The second volume of Hilbert’s collected papers contains Hilbert’s papers in invariant theory. I have made a point of reading some of these papers with care. It is sad to note that some of Hilbert’s beautiful results have been completely forgotten. But on reading the proofs of Hilbert’s striking and deep theorems in invariant theory, it was surprising to verify that Hilbert’s proofs relied on the same few tricks. Even Hilbert had only a few tricks!

— Ten Lessons I Wish I Had Been Taught

— Gian-Carlo Rota

2012.05.13 Sunday ACHK

Your Expository Work

You Are More Likely to Be Remembered by Your Expository Work

Let us look at two examples, beginning with Hilbert. When we think of Hilbert, we think of a few of his great theorems, like his basis theorem. But Hilbert’s name is more often remembered for his work in number theory, his Zahlbericht, his book Foundations of Geometry, and for his text on integral equations. The term “Hilbert space” was introduced by Stone and von Neumann in recognition of Hilbert’s textbook on integral equations, in which the word “spectrum” was first defined at least twenty years before the discovery of quantum mechanics. Hilbert’s textbook on integral equations is in large part expository, leaning on the work of Hellinger and several other mathematicians whose names are now forgotten.

Similarly, Hilbert’s Foundations of Geometry, the book that made Hilbert’s name a household word among mathematicians, contains little original work and reaps the harvest of the work of several geometers, such as Kohn, Schur (not the Schur you have heard of), Wiener (another Wiener), Pasch, Pieri, and several other Italians.

Again, Hilbert’s Zahlbericht, a fundamental contribution that revolutionized the field of number theory, was originally a survey that Hilbert was commissioned to write for publication in the Bulletin of the German Mathematical Society.

— Ten Lessons I Wish I Had Been Taught

— Gian-Carlo Rota

2012.05.11 Friday ACHK

Elementary particles

There exist heavier particle species which are relevant for shorter distance scales. Most of the matter around us is composed of electrons, protons, and neutrons, or – using the more elementary description – electrons, up-quarks, and down-quarks (which are attracted by forces mediated by photons and gluons). However, there exist many other particle species similar to electrons – the so-called leptons – and many other quarks. Many of those particles are unstable, and therefore unimportant in the composition of stable materials.

But even if heavier particles are stable, they are less important than the light ones because it is hard to create them and because their potential existence only affects the phenomena at ever shorter distances. Elementary particles heavier than the Planck mass or so – \(10^{-8}\) kilograms or so – also exist and there are many of them. However, they may be interpreted as black hole microstates and their description in terms of Einstein’s general theory of relativity becomes more natural than their description in terms of quantum field theory.

String/M-theory provides us with many detailed interpolations between the regular light particle species and the black holes – e.g. Kaluza-Klein modes i.e. particles moving in extra dimensions; excited string states and branes, and others.

— Ten new things that science has learned about matter

— Lubos Motl

2012.05.09 Tuesday ACHK

Harmonic oscillator 3

After a minute spent with a different colloquium at the following week (whose title was in Latin), Andy Strominger quickly jumps to his main point.

In the early 21st century, black holes seem to play the same universal exploratory role in physics that the quantum harmonic oscillator used to play almost 100 years earlier. The reason of their universal importance is that they’re the simplest and the most complex objects in the Universe at the same moment.

It sounds almost like poetry but it’s actually true although one needs to appreciate many aspects of black holes that general relativity, its semiclassical quantization, and later string theory discovered to appreciate the depth of the summary above.

— Black holes: harmonic oscillators of the 21st century

— Lubos Motl

2012.05.08 Tuesday ACHK

Proper nutrition

Food provides nutrients from six broad classes: proteins, fats, carbohydrates, vitamins, dietary minerals, and water. Carbohydrates are metabolized to provide energy. Proteins provide amino acids, which are required for cell construction, especially for the construction of muscle cells. Essential fatty acids are required for brain and cell membrane construction. Vitamins and trace minerals helps to keep good electrolyte balance and are used for metabolic processes. Dietary fiber also affects one’s health, although it’s not digested into the body.

— Wikipedia on Dieting

2012.05.07 Monday ACHK

Phenomenology (particle physics)

Particle physics phenomenology is the part of theoretical particle physics that deals with the application of theory to high-energy particle physics experiments. Within the Standard Model, phenomenology is the calculating of detailed predictions for experiments, usually at high precision (e.g., including radiative corrections). Beyond the Standard Model, phenomenology addresses the experimental consequences of new models: how their new particles could be searched for, how the model parameters could be measured, and how the model could be distinguished from other, competing models. Phenomenology may in some sense be regarded as forming a bridge between the rarefied, highly mathematical world of theoretical physics proper (such as quantum field theories and theories of the structure of space-time) and experimental particle physics.

— Wikipedia on Phenomenology (particle physics)

2012.05.06 Sunday ACHK

Vacuum

In quantum mechanics and quantum field theory, the vacuum is defined as the state (that is, the solution to the equations of the theory) with the lowest possible energy (the ground state of the Hilbert space). In quantum electrodynamics this vacuum is referred to as ‘QED vacuum’ to separate it from the vacuum of quantum chromodynamics, denoted as QCD vacuum. QED vacuum is a state with no matter particles (hence the name), and also no photons, no gravitons, etc.

Theoretically, in QCD vacuum multiple vacuum states can coexist. The starting and ending of cosmological inflation is thought to have arisen from transitions between different vacuum states. For theories obtained by quantization of a classical theory, each stationary point of the energy in the configuration space gives rise to a single vacuum. String theory is believed to have a huge number of vacua – the so-called string theory landscape.

— Wikipedia on Vacuum

2012.05.04 Friday ACHK

Energy, matter, and information equivalence, 2

Another link is demonstrated by the Maxwell’s demon thought experiment. In this experiment, a direct relationship between information and another physical property, entropy, is demonstrated. A consequence is that it is impossible to destroy information without increasing the entropy of a system; in practical terms this often means generating heat.

Another, more philosophical, outcome is that information could be thought of as interchangeable with energy.

— Wikipedia on Information

2012.05.03 Thursday ACHK

Causality 3

In quantum gravity, the metric tensor is a quantum observable. Also, the metric tensor determines the structure of the light cones and the rules for causality, and therefore the causal structure becomes uncertain and confusing. At any rate, string theory is smarter than we are and it is able to avoid these conceptual problems.

— Causality and entanglement

— Lubos Motl

2012.04.30 Monday ACHK

Naturalness

Naturalness means that the dimensionless parameters in physics are likely to be comparable to one – and very unlikely to be much greater or much smaller than one – unless an explanation why they’re very different from one exists.

— Lubos Motl

2012.04.29 Sunday ACHK

Harmonic oscillator 2

At that time, Feynman already realized that the electromagnetic field is an infinite-dimensional harmonic oscillator. Well, the Dirac field is simply its Grassmann-valued counterpart and every other field is a sort of an infinite-dimensional oscillator, too.

— Feynman’s thesis: arrival of path integrals

— Lubos Motl

2012.04.28 Saturday ACHK

Black hole information paradox, 2

It shouldn’t be so surprising that unitarity survives completely while causality doesn’t. After all, the basic postulates of quantum mechanics, including unitarity, the probabilistic interpretation of the amplitudes, and the linearity of the operators representing observables, seem to be universally necessary to describe physics of any system that agrees with the basic insights of the quantum revolution.

On the other hand, geometry has been downgraded into an effective, approximate, emergent aspect of reality. The metric tensor is just one among many fields in our effective field theories including gravity.

— Black hole information puzzle

— Lubos Motl

2012.04.25 Wednesday ACHK

The Standard Model

The only special thing about the Standard Model is that it’s the “minimal” theory (when it comes to counting of the fields etc.) that is compatible with data we had known before the LHC.

— Theory vs phenomenology in the days of experimental reckoning

— Lubos Motl

2012.04.24 Tuesday ACHK

Black hole information paradox

The black hole information paradox results from the combination of quantum mechanics and general relativity. It suggests that physical information could permanently disappear in a black hole, allowing many physical states to evolve into the same state. This is controversial because it violates a commonly assumed tenet of science — that in principle complete information about a physical system at one point in time should determine its state at any other time. A fundamental postulate of quantum mechanics is that complete information about a system is encoded in its wave function. The evolution of the wave function is determined by a unitary operator, and unitarity implies that information is conserved in the quantum sense.

— Wikipedia on Black hole information paradox

2012.04.23 Monday ACHK