Month: October 2017

Red Harvest

On By rolcottIn Physics: Black Holes and Relativity, Physics: Entropy and Thermodynamics, UncategorizedLeave a comment

<continued> Al’s coffee shop was filling up as word got around about Anne in her white satin.  I saw a few selfie-takers in the physics crowd surreptitiously edge over to get her into their background.  She was busy thinking so she didn’t notice.  “The entropy-elephant picture is starting to come together, Sy.  We started out with entropy measuring accumulated heat capacity in a steam engine.”

“That’s where Carnot started, yes.”

“But when Jeremy threw that hot rock into the black hole” <several in the astronomy crew threw startled looks at Jeremy>, “its heat energy added to the black hole’s mass, but it should have added to the black hole’s entropy, too.  ‘Cause of Vinnie’s Second Law.”white satin and black hole 3

Vinnie looked up.  “Ain’t my Second Law, it’s thermodynamics’ Second Law.  Besides, my version was ‘energy’s always wasted.’  Sy’s the one who turned that into ‘entropy always increases.'”

“So anyway, black holes can’t have zero entropy like people used to think.  But if entropy also has to do with counting possibilities, than how does that apply to black holes?  They have only one state.”

“That’s where Hawking got subtle.  Jeremy, we’ve talked about how the black hole’s event horizon is a mathematical abstraction, infinitely thin and perfectly smooth and all that.”

“Yessir.”

“Hawking moved one step away from that abstraction.  In essence he said the  event horizon is surrounded by a thin shell of virtual particles.  Remember them, Jeremy?”

“Uh-huh, that was on my quest to the event horizon.  Pairs of equal and opposite virtual particles randomly appear and disappear everywhere in space and because they appear together they’re entangled and if one of them dips into the event horizon then it doesn’t annihilate its twin which — Oh!  Random!  So what’s inside the event horizon may have only one state, so far as we know, but right outside the horizon any point may or may not be hosting, can I call it an orphan particle?  I’ll bet that uncertainty give rise to the entropy, right?”

<finger-snaps of approval from the physics side of the room>

“Well done, Jeremy!  ‘Orphan’ isn’t the conventional term but it gets the idea across.”

“Wait, Sy.  You mentioned that surface area and entropy go together and now I see why.  The larger the area, the more room there is for those poor orphans.  When Jeremy’s rock hit the event horizon and increased the black hole’s mass, did the surface area increase enough to allow for the additional entropy?” <more finger-snapping>

“Sure did, Anne.  According to Hawking’s calculation, it grew by exactly the right amount.  Mass and area both grow as the square of the diameter.”

“How come not the radius?”

“Well , Vinnie, the word ‘radius‘ is tricky when you’re discussing black holes.  The event horizon is spherical and has a definite diameter — you could measure it from the outside.  But the sphere’s radius extends down to the singularity and is kind of infinite and isn’t even strictly speaking a distance.  Space-time is twisted in there, remember, and that radial vector is mostly time near its far end.  On the other hand, you could use ‘radius‘ to mean ‘half the diameter‘ and you’d be good for calculating effects outside the event horizon.”

“OK, that’s the entropy-area connection, but how does temperature tie in with surface gravity?”

“They’re both inversely dependent on the black hole’s mass.  Let’s take surface gravity first, and here when I say ‘r‘ I’m talking ‘half-diameter,‘ OK?”

“Sure.”

“Good.  Newton taught us that an object with mass M has a gravitational attraction proportional to M/r².  That still holds if you’re not inside the event horizon.  Now, the event horizon’s r is also proportional to the object’s mass so you’ve got M/M² which comes to 1/M.  With me?”

“Yeah.”

“Hawking used quantum physics to figure the temperature thing, but here’s a sloppy short-cut.  Anne, remember how we said that entropy is approximately heat capacity divided by temperature?”

“Mm-hmm.”

“The shell’s energy is mostly heat and proportional to M.  We’ve seen the shell’s entropy is proportional to M².  The temperature is heat divided by entropy.  That’s proportional to M/M² which is the same 1/M as surface gravity.” <boos from all sides>. “Hey, I said it was sloppy.”

~~ Rich Olcott

Rockin’ Round The Elephant

On By rolcottIn Physics: Black Holes and Relativity, Physics: Entropy and Thermodynamics, Uncategorized8 Comments

<continued…>  “That’s what who said?  And why’d he say that?”

“That’s what Hawking said, Al.  He’s the guy who first applied thermodynamic analysis to black holes.  Anyone happen to know the Three Laws of Thermodynamics?”

Vinnie pipes up from his table by the coffee shop door.  “You can’t win.  You can’t even break even.  But you’ll never go broke.”

“Well, that’s one version, Vinnie, but keep in mind all three of those focus on energy.  The First Law is Conservation of Energy—no process can create or destroy energy, only  transform it, so you can’t come out ahead.  The Second Law is really about entropy—”

“Ooo, the elephant!”white satin and black hole 2

“Right, Anne.  You usually see the Second Law stated in terms of energy efficiency—no process can convert energy to another form without wasting some of it. No breaking even.  But an equivalent statement of that same law is that any process must increase the entropy of the Universe.”

“The elephant always gets bigger.”

“Absolutely.  When Bekenstein and Hawking thought about what would happen if a black hole absorbed more matter, worst case another black hole, they realized that the black hole’s surface area had to follow the same ‘Never decrease‘ rule.”

“Oh, that Hawking!  Hawking radiation Hawking!  The part I didn’t understand, well one of the parts, in that “Black Holes” Wikipedia article!  It had to do with entangled particles, didn’t it?”

“Just caught up with us, eh, Jeremy?  Yes, Stephen Hawking.  He and Jacob Bekenstein found parallels between what we can know about black holes on the one hand and thermodynamic quantities on the other.  Surface area and entropy, like we said, and a black hole’s mass acts mathematically like energy in thermodynamics.  The correlations were provocative ”

“Mmm, provocative.”

“You like that word, eh, Anne?  Physicists knew that Bekenstein and Hawking had a good analogy going, but was there a tight linkage in there somewhere?  It seemed doubtful.”

“Nothin’ to count.”

“Wow, Vinnie.  You’ve been reading my posts?”

“Sure, and I remember the no-hair thing.  If the only things the Universe can know about a black hole are its mass, spin and charge, then there’s nothing to figure probabilities on.”

“Exactly.  The logic sequence went, ‘Entropy is proportional to the logarithm of state count, there’s only one state, log(1) equals zero,  so the entropy is zero.’  But that breaks the Third Law.  Vinnie’s energy-oriented Third Law says that no object can cool to absolute zero temperature.  But an equivalent statement is that no object can have zero entropy.”

“So there’s something wrong with black hole theory, huh?”

“Which is where our guys started, Vinnie.  Being physicists, they said, ‘Suppose you were to throw an object into a black hole.  What would change?’”

“Its mass, for one.”

“For sure, Jeremy.  Anything else?”

“It might not change the spin, if you throw right.”

“Spoken like a trained baseball pitcher.  Turns out its mass governs pretty much everything about a black hole, including its temperature but not spin or charge.  Once you know the mass you can calculate its entropy, diameter, surface area, surface gravity, maximum spin, all of that.  Weird, though, you can’t easily calculate its volume or density — spatial distortion gets in the way.”

“So what happens to all those things when the mass increases?”

“As you might expect, they change.  What’s interesting is how each of them change and how they’re linked together.  Temperature, for instance, is inversely proportional to the mass and vice-versa.  Suppose, Jeremy, that you threw two big rocks, both the same size, into a black hole.  The first rock is at room temperature and the other’s a really hot one, say at a million degrees.   What would each do?”

“The first one adds mass so from what you said it’d drop the temperature.  The second one has the same mass, so I don’t see, wait, temperature’s average kinetic energy so the hot rock has more energy than the other one and Einstein says that energy and mass are the same thing so the black hole gets more mass from the hot rock than from the cold one so its temperature goes down … more?  Really?”

“Yup.  Weird, huh?”

“How’s that work?”

“That’s what they asked.”

~~ Rich Olcott

Schrödinger’s Elephant

On By rolcottIn Gravitational astronomy, Physics: Black Holes and Relativity, Physics: Entropy and Thermodynamics, UncategorizedLeave a comment

Al’s coffee shop sits right between the Astronomy and Physics buildings, which is good because he’s a big Science fan.  He and Jeremy are in an excited discussion when Anne and I walk in.  “Two croissants, Al, and two coffees, black.”

“Comin’ up, Sy.  Hey, you see the news?  Big days for gravitational astronomy.”

Jeremy breaks in.  “There’s a Nobel Prize been announced —”

“Kip Thorne the theorist and Barry Barish the management guy —”

“and Rainer Weiss the instrumentation wizard —”

“shared the Physics prize for getting LIGO to work —”

“and it saw the first signal of a black hole collision in 2015 —”

“and two more since —”

“and confirmed more predictions from relativity theory —”

“and Italy’s got their Virgo gravitational wave detector up and running —”

“And Virgo and our two LIGOs, —”

“Well, they’re both aLIGOs now, being upgraded and all —”

“all three saw the same new wave —”

“and it’s another collision between black holes with weird masses that we can’t account for.  Who’s the lady?”

“Al, this is Anne.  Jeremy, close your mouth, you’ll catch a fly.”  (Jeremy blushes, Anne twinkles.)  “Anne and I are chasing an elephant.”

“Pleased to meetcha, Anne.  But no livestock in here, Sy, the Health Department would throw a fit!”

I grin.  “That’s exactly what Eddie said.  It’s an abstract elephant, Al.  We’ve been discussing entropy. Which is an elephant because it’s got so many aspects no-one can agree on what it is.  It’s got something to do with heat capacity, something to do with possibilities you can’t rule out, something to do with signals and information.  And Hawking showed that entropy also has something to do with black holes.”

“Which I don’t know much about, fellows, so someone will have to explain.”

Jeremy leaps in.  “I can help with that, Miss Anne, I just wrote a paper on them.”

“Just give us the short version, son, she can ask questions if she wants a detail.”

“Yessir.  OK, suppose you took all the Sun’s mass and squeezed it into a ball just a few miles across.  Its density would be so high that escape velocity is faster than the speed of light so an outbound photon just falls back inward and that’s why it’s black.  Is that a good summary, Mr Moire?”

“Well, it might be good enough for an Internet blog but it wouldn’t pass inspection for a respectable science journal.  Photons don’t have mass so the whole notion of escape velocity doesn’t apply.  You do have some essential elements right, though.  Black holes are regions of extreme mass density, we think more dense than anywhere else in the Universe.  A black hole’s mass bends space so tightly around itself that nearby light waves are forced to orbit its region or even spiral inward.  The orbiting happens right at the black hole’s event horizon, its thin shell that encloses the space where things get really weird.  And Anne, the elephant stands on that shell.”white satin and black hole“Wait, Mr Moire, we said that the event horizon’s just a mathematical construct, not something I could stand on.”

“And that’s true, Jeremy.  But the elephant’s an abstract construct, too.  So abstract we’re still trying to figure out what’s under the abstraction.”

“I’m trying to figure out why you said the elephant’s standing there.”

“Anne, it goes back to the event horizon’s being a mathematical object, not a real one.  Its spherical surface marks the boundary of the ultimate terra incognita.  Lightwaves can’t pass outward from it, nor can anything material, not even any kind of a signal.  For at least some kinds of black hole, physicists have proven that the only things we can know about one are its mass, spin and charge.  From those we can calculate some other things like its temperature, but black holes are actually pretty simple.”

“So?”

“So there’s a collision with Quantum Theory.  One of QT’s fundamental assumptions is that in principle we can use a particle’s current wave function to predict probabilities for its future.  But the wave function information disappears if the particle encounters an event horizon.  Things are even worse if the particle’s entangled with another one.”

“Information, entropy, elephant … it’s starting to come together.”

“That’s what he said.”

~~ Rich Olcott

At The Turn of A Card

On By rolcottIn Physics: Entropy and Thermodynamics, UncategorizedLeave a comment

Not much going on today.  I’m dealing myself a hand of solitaire when I hear a familiar fizzing sound.  “Hello, Anne.  Good to see you again.”

She’s freshened up that white satin outfit and is looking very good.  “Hello, Sy.  Busy?”

“Not so’s you’d notice it.  What can I do for you?”

“Can’t a girl just drop in when she wants to visit?  Playing with real cards, I see.  That’s good, but your tens and treys are frozen.”white satin and cards

“That’s the way the odds break sometimes.  The elephant‘s in the room.”

“Entropy again?  What’s it look like this time?”

“These cards and surprise.  How surprised would you be if I were to draw a queen from the stock pile?”

“No queens showing, so some surprised but not very surprised.”

“You know me, I’m a physicist, we put numbers to things.  So put numbers to the situation.”

<sigh>  “OK, there are 52 cards in the deck and you’ve got … 28 cards in that triangle, so there are 24 left in the stock.  Four of them have to be queens.  Four out of 24 is one out of 6.”

“Or 17%.  And the odds for the queen of hearts?”

“I’m here so it’s 100% until I leave.  Oh, I know, you’re talking about the cards.  One in 24 or 4%.  So I’d be four times as surprised at seeing the heart queen as I would at seeing any of them.  Pooh.”

“Now how about the odds of drawing all four queens?”

“One in 24, times one in 23, times one in 22, times one in 21.  Whatever, it’s a very small number and I’d be very surprised.”

“Well, here’s where we get another look at the elephant.  There’s a definition of entropy that links directly to those percentages AND can handle extremely small ones.  What do you know about logarithms?”

“A little.  I read your   last   series  of  posts.”

“Wonderful, that simplifies things.  Let’s start with strange dissociation thought up by Claude Shannon to whom we owe the entire field of information theory.  His crucial insight was that he had to distinguish between information and meaning.”

“How can they be different?  If I say ‘green’ that means, well, green.”

“It’s all about context.  If you’re telling me what color something is, saying ‘green’ is telling me that the thing isn’t white or red or any of the other umm, nine colors I know the names of.  But if you’re telling me someone is really inexperienced then I know not to trust them with a complicated task that has to be done right the first time.  From Shannon’s point of view, the information is the signal ‘green,’ and the meaning is set by the context.”

“You’re going somewhere with this, I suppose?”

“Mm-hm.  In Shannon’s theory, the more surprising the message is, the more information it contains.  Remember when you told me that in one of your alternate realities you’d seen me wearing a green shirt?  That was a surprise and it told me you’d visited an unusual reality, because I rarely wear green.  If you’d told me the shirt was black or grey, that would have been much less surprising and much less informative.  Shannon’s trick was in putting numbers to that.”

“You’re just dragging this out, aren’t you?”

“No-no, only two more steps to the elephant.  First step is that Shannon defined a particular signal’s information content to be proportional to the negative of the logarithm of its probability.  Suppose I’m maybe 1% likely to wear green but equally likely to wear any of the other 11 colors.  Each of those colors has a 9% probability.  log10(1%) is –2.00, information content is 2.00, but –log10(9%) is only 1.04.  By Shannon’s definition when you said ‘green’ in this context, you gave me nearly double the information as any of the other color names.”

“Why’d you use base-10 logarithms?”

“Convenience.  It’s easy to figure log10(1%).  Information scientists tend to use base-2, physicists go for base-e.  Final step — Shannon took the information content of each possible signal, multiplied it by the probability of that signal, added those products together and called it the signal system’s information entropy. For our colors it’d be 2.0+(11×1.04)=13.44.  Regardez, voici l’éléphant!”

“Ooo, French!”

“Aimeriez-vous un croissant et un café?  My treat at Al’s.”

~~ Rich Olcott

A log by any other name

On By rolcottIn Mathematics: Logs and Exponentials, Physics: Entropy and Thermodynamics, UncategorizedLeave a comment

“Hey, Mr Moire?”

“Yes, Jeremy?”

“What we did with logarithms and exponents.  You showed me how my Dad’s slide-rule uses powers of 10, but we did that compound interest stuff with powers of 1.1.  Does that mean we could make a slide-rule based on powers of any number?”

“Sure could, in principle, but it’d be a lot harder to use.  A powers-of-ten model works well with scientific notation.  Suppose you want to calculate the number of atoms in 5.3 grams of carbon.  Remember Avagadro’s number?”

“Ohhh, yeah, chem class etched that into my brain.  It’s 6.02×10²³ atoms per gram atomic weight.  Carbon’s atomic weight is 12, so the atom count would be (5.3 grams)×(6.02×10²³ atoms / 12 grams), whatever that works out to be.”

“Nicely set up.  With the slide-rule you’d do the 5.3×6.02/12 part, then take care of the ten-powers in your head or on a scrap of paper.  It’d be ugly to do that with a slide-rule based on powers of π, for example.  Although, once you get away from the slide-rule it’s perfectly possible to do log-and-exponent calculations on other bases.  A couple of them are real popular.  Base-2, for instance.”2-10-e logs

“Powers of two?  Oh, binary!   2, 4, 8, 16, like that.  And 1/2, 1/4, 1/8.  Hard to imagine what a base-2 slide-rule would look like — zero at one end, I suppose, and one at the other and lots of fractions in-between.”

“Well, no.  Is there a zero on your Dad’s base-10 slide-rule there?”

“Uh, no, the C scale has a one at each end.”

“The left-hand ‘1’ can stand for one or ten or a thousand or a thousandth.  Whatever you pick for it, the right-hand ‘1’ stands for ten times that.”

“Ah, then a base-2 slide-rule would also have ones at either end in binary but they’d mean numbers that differ by a factor of two.  But there’d still be a bunch of fractions in-between, right?”

“Right, but no zero anywhere.  Why not?”

“Oh, there’s no power-of-two that equals zero.”

“No power-of-anything that equals zero.  Except zero, of course, but zero-to-anything is still zero so that’s not much use for calculating.  On the other hand, anything to the zero power is 1 so log(1)=0 in every base system.”

“You said a couple of popular bases.  What’s the other one?”

“Euler’s number e=2.71828…  It’s actually closely related to that compound interest calculation you did.  There’s several ways to compute e, but the most relevant for us is the limit of [1+(1/n)]n as n gets very large.  Try that on your spreadsheet app.”

“OK, I’m loading B1 with =(1+(1/C1))^C1 and I’ll try different numbers in C1.  One hundred gives me 2.7048, a thousand gives me 2.7169 (diminishing returns, hey) — ah, a million sure enough comes up with 2.71828.”

“There you go.  Changing C1 to even bigger values would get you even closer to e‘s exact value but it’s one of those irrationals like π so you can only get better and better approximations.  You see the connection between that formula and the $×[1+(rate/n)]n formula?”

“Sure, but what use is it?  If that’s the e formula the rate is 100%.”

“You can think of e as what happens when growth is compounded continuously.  It’s not often used in retail financial applications, but it’s everywhere in advanced math and physics.  I don’t want to get too much into that because calculus, but here’s one specialness.  The exponential function ex is the only one whose slope at every point is equal to its value there.”

“Nice.  But we’ve been talking logs.  Are base-e logarithms special?”

“So special that they’ve got their own name — natural logarithms, as opposed to common logarithms, the base-10 kind that power slide-rules.  They’ve even got their own abbreviations — ln(x) or loge(x) as opposed to log(x) or log10(x).”

“What makes them ‘natural’?”

“That’s harder to answer.  The simplest way is to point out that you can convert a log on one base to any other base.  For instance, ln(10)=2.303 therefore e2.303=10=101.  So log10 of any number x is 2.303 times ln(x) and ln(x)=log10(x)/2.303.  There are loads of equations that look simple and neat in terms of ln but get clumsy if you have to plug in 2.303 everywhere.”

“Don’t want to be clumsy.”

~~ Rich Olcott