Complex Numbers (Book)

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Complex Numbers

Complex Numbers

A complex number is expressed in the standard form a + bi, where a and b are real numbers and i is defined by i^2 = -1 (that is, i is the square root of -1). For example, 3 + 2i is a complex number.

The bi term is often referred to as an imaginary number (though this may be misleading, as it is no more "imaginary" than the symbolic abstractions we know as the "real" numbers). Thus, every complex number has a real part, a, and an imaginary part, bi.

Complex numbers are often represented on a graph known as the "complex plane," where the horizontal axis represents the infinity of real numbers, and the vertical axis represents the infinity of imaginary numbers. Thus, each complex number has a unique representation on the complex plane: some closer to real; others, more imaginary. If a = b, the number is equal parts real and imaginary.

Very simple transformations applied to numbers in the complex plane can lead to fractal structures of enormous intricacy and astonishing beauty.

http://www.ddewey.net/mandelbrot/

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Wordsmitty ✍️

about 2 hours ago
In response to "Gray Matters"

"who were between age nine and 39," - so the old folks need the rejuvenation formula first to turn back the years.

I wonder if anyone has studied why hair goes gray in certain places and not everywhere. Maybe different kinds of stress?

1 Like

🌖 HuntersMoon

about 5 hours ago
In response to "Gray Matters"

I've always believed "better gray than gone away..."

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tj-Merry Mischief Maker

a day ago
In response to "A Mammoth Discovery"

This makes think of a book, "Evolution and Genomic Diversity" by Gene Poole.

1 Like

tj-Merry Mischief Maker

a day ago
In response to "Hot Shoulder"

Maybe if we say, "Betelgeuse" three times in a row we can witness it.

1 Like

tj-Merry Mischief Maker

Dec 23, 2024 at 4:55pm
In response to "Trash Pandas"

Being an avid camper, keeping items out of the reach of raccoons can be challenging. We've had them figure out how to open coolers, open chests, and even gnaw through rope used to suspend a cooler out of their reach.

2 Like

🐕GeminiGem🎁

Dec 23, 2024 at 12:56pm
In response to "Trash Pandas"

I wrote one of my Danger Dog stories based on a childhood camping trip that involved a raccoon stealing grapes from our cooler "Danger Dog's Camping Capers"

I had always heard that cockroaches will be the only thing that survives a nuclear war/apocolypse, but maybe it will actually be the raccoons.

4 Like

🌖 HuntersMoon

Dec 23, 2024 at 10:04am
In response to "Trash Pandas"

Just wait until we team up with the cats...

4 Like

Jayngle Bells

Dec 23, 2024 at 10:03am
In response to "Trash Pandas"

The back of my property is sheltered by buildings and cedar trees, so I live on a "racoon highway." Tinfoil works until one takes it for the team and moves it. The only scent that somewhat deters then is ammonia - but they alter their path within the already preferred walkway, not avoid it completely. They generally leave the garbage bin alone, but that's because of the bears, not because of anything we do 😂

I've had more wildlife problems in the city than I ever did in the country. The first time I saw a deer up close? In the middle of my street directly in front of my house. Probably looking for the trash panda party. Lol

4 Like

Annette

Dec 21, 2024 at 11:59am
In response to "Neutral Zone"

It made me happy that I was able to like it. I take the small victories.

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tj-Merry Mischief Maker

Dec 20, 2024 at 6:06pm
In response to "To Err Is Human"

Right from the beginning I find myself asking, "How many times can anything go extinct?" On a side note, the other day while shopping I saw a neanderthal in the produce section. He was trying to fit in with modern clothes, but it was pretty obvious he was a neanderthal.

1 Like

June 24, 2024 at 10:38am

#1073116

Sadistics

Thank you to everyone who commented here on Saturday about my travel plans. It clarified a few things for me.

Today, I'm going to discuss an article about numbers: this 2018 Ars Technica discussion of statistics. Trigger warning: math ahead.

“Fixed mindsets” might be why we don’t understand statistics
Study finds people prefer complicated methods because that's what they're used to.

Just reading the subhead there triggered my skepticism. People prefer complicated methods? Not in my experience, piped up my inner skeptic. People like things simple.

And then I remembered that we're reading and writing in English, with all of its confusing and complicated grammar and spelling rules, and how every attempt to simplify the language has met with indignant resistance.

Sure, I'm used to it. I've spent a lifetime trying to improve my command of the language. If we suddenly decided that everything should be spelled consistently, I'd have to learn a whole new set of rules, and even if those rules are simpler, it's more work. Besides, shouldn't everyone else have to put in the same work I did to learn something?

Anyway, that has nothing to do with statistics (well, not directly). It was the first analogy that popped into my head.

A new study in Frontiers in Psychology examined why people struggle so much to solve statistical problems, particularly why we show a marked preference for complicated solutions over simpler, more intuitive ones. Chalk it up to our resistance to change. The study concluded that fixed mindsets are to blame: we tend to stick with the familiar methods we learned in school, blinding us to the existence of a simpler solution.

As I noted above, it wouldn't be a "new study" anymore. I mostly mention the time frame because the article's publication was before the entire world got hit by a working example of statistics.

Now, I know I keep harping on this, but one study isn't sufficient to establish fact. I have no idea if any follow-ups have been done in the 5+ years since this article was published. Fortunately, this is handled by weasel words like "might be."

Roughly 96 percent of the general population struggles with solving problems relating to statistics and probability.

67.56% of statistics are made up on the spot.

Okay, no, I just made up that number, but if you're going to assert something like "96% of the general population" does anything, shouldn't you back that up with some sort of citation?

Assuming it's true, though, would it surprise you to know that I'm one of the 96%? I necessarily encountered statistics and probability in my education, but that doesn't mean I don't "struggle." I'm not an expert, and it doesn't come naturally to me. It's one reason I like blackjack at casinos: it exercises that part of my brain. Sure, it can be an expensive education, but so is college.

I think the bigger problem is that many people don't even try.

Recent studies have shown that performance rates on many statistical tasks increased from four percent to 24 percent when the problems were presented using the natural frequency format.

The "natural frequency" thing is explained fully in the article (basically, saying something like 1 in 4 instead of giving it a 25% probability, the two of which are mathematically equivalent). But I had to chuckle at the way they phrased this... using percentages.

What I finally figured out they meant by "four percent to 24 percent" was: the 4% is the complement of the 96% above, and "natural frequency format" lowered the "struggle" rate from 96% to 76%. But the way that was presented was somewhat ambiguous.

I encounter this sort of thing sometimes in video games. Say you have a 30% chance of scoring a critical hit on an opponent. You find some item whose description includes "raises the crit hit chance by 10%." Now: does that mean it's additive, raising the crit hit chance to 40%? Or does it increase your chance of scoring a critical hit by 10% of the current probability, raising it to (30+0.1*30=) 33%? This matters because the latter might not be enough of an edge to justify the opportunity cost of using that item rather than, say, one that makes you prettier.

And these games are generally designed, at least in part, by nerds who oughta know better than to be that ambiguous about numbers.

The article goes on to describe a Baysean probability problem (in brief, Bayes' Theorem takes into account prior knowledge), and the thing that amused me there is that at the end of the section, which involves a bit of math, there's an editorial comment in italics and brackets: [corrected].

The implication is that even the author got it wrong. Which I'm not going to snark on them for, because I get it wrong sometimes, too (there's one particularly egregious math error in an old blog entry that I'm really hoping doesn't come up in one of my Revisited posts, because I'd then be honor-bound to publicly kick myself for getting it wrong). But if you're specifically writing an article about how people get statistics wrong, and in it you get the statistics wrong, well, that's funny.

The students had to show their work, so it would be easier to follow their thought processes. Weber and his colleagues were surprised to find that even when presented with problems in the natural frequency format, half the participants didn't use the simpler method to solve them. Rather, they "translated" the problem into the more challenging probability format with all the extra steps, because it was the more familiar approach.

A while back, I encountered an article about second-order polynomials. The quadratic equation is traditionally taught as a rigorous method for finding their solutions. In my experience, I had to memorize the quadratic equation long before anyone really explained to me why it worked, which I find to be essential for my true understanding of something. The QE is somewhat complicated, involving square roots, addition, subtraction, multiplication, and division; not to mention that it's got that pesky "plus or minus" sign, because the square root of any positive number can be either positive or negative (sqrt(4), for example, can be 2 or -2).

Anyway, this article presented a faster, simpler method for deconstructing polynomials. As I recall, it's indeed simpler. And yet, on the rare occasion these days when I want to think about this sort of thing, I still go to my hard-fought memorization of the QE.

So I can believe the conclusion reached in the study.

But that just means I have to be more skeptical of it.

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