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hmm those look pretty much like cubic (z^3) and quartic (z^4) to me.

as for the formula/equation, you have it already: z <- z^n + c

if you're looking to get it in terms of scalar (real and imaginary) components, just work it out:

let z = a + bi, then z^2 =

(a + bi)(a + bi) = a^2 + 2abi + (bi)^2 = (a^2 - b^2) + (2ab)i

z^3 = z^2 * z =

[(a^2 - b^2) + (2ab)i](a + bi) = a(a^2 - b^2) + bi(a^2 - b^2) + ...

have fun i suggest you write a few routines to handle complex number arithmetic; even if a few optimisation opportunities are missed when using this approach it's much better for experimentation/sanity.

The images are labeled correctly, they do not look like the z^3 and z^4, respectively.

There usually is always one "bulb" less showing than what the power is raised to:
    z^2  =  1 Mbrot bulb
    z^3  =  2 Mbrot bulbs
    z^4  =  3 Mbrot bulbs
    z^5  =  4 Mbrot bulbs
    etc....
 

Hello!

Thank you very much fo the suggestions, but that is too high for me. I am not a  mathematician, nor
i have any clue how to handle with complex numbers.

What i asked for is the translation of these formulas into simple to write instructions
for any language, in this case those like Basic, or the Java implementation in /Processing/


Greetings,

Marco Vernaglione

the maths isn't difficult, only tedious; you just have to remember that i^2 = -1, multiply everything out (you only can save a little on the working out if you re-use the expression for z^2 to get z^5), apply the said identity after each step, collect the real and imaginary terms.

anyway a way around this is if you want to experiment quickly (short of using maple/mathematica to boil down every formula) is to just make a bunch of utility functions for adding/subtracting, multiplying/dividing (latter needs the conjugate), argument and radius. these are pretty standard and you can find code for this anywhere - i bet java (proce55sing is java right? read a bit about it, haven't used it) has a complex number class built in already. [aside: in c++ you can just write z_new = (z * z + c * z + b) / (z * a - z.conjugate() * b) or whatever; the particularly nice thing is the natural (infix) ordering - as it's written - whereas things like c = complex_add(a,b) require you to work stuff out in postfix ("stack") order.]

Z^2 + c  :

  aa = a * a;  bb = b * b;  a = aa - bb + x;  b = 2 * a * b + y
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how looks the equation for Z^4, and Z^5 ?


Another approach is to use Pascal's Triangle:

0:  1
1:  1  1
2:  1  2  1
3:  1  3  3  1
4:  1  4  6  4  1
5:  1  5 10 10  5  1
etc.

The interior elements of each row are the sums of the two neighboring elements in the row above.  If you use the row number as the exponent of (a + ib)ⁿ, then the row elements give the coefficients.  Of course, you then need to sort out the powers of i and the real and imaginary parts.  So doing:

0:  1
1:  a + ib
2:  a² + 2iab + i²b² = (a² - b²) + i(2ab)
3:  (a³ - 3ab²) + i(3a²b - b³)
4:  (a⁴ - 6a²b² + b⁴) + i(4a³b - 4ab³)
5:  (a⁵ - 10a³b² + 5ab⁴) + i(5a⁴b - 10a²b³ + b⁵)
etc.

Kerry

hmm i hope this will be taken as it's intended...

i think you'll get a lot further with your experiments if you accustom yourself to i^2 = -1 and converting basic expressions to code. it's not difficult, very rewarding, and ultimately worth the time spent mastering it if you intend to do anything more than just julia sets. relying on other people for your experiments is a really heavy set of crutches to bear; i hope you'll look at the sheer potential for experimentation you'll gain through a greater understanding of programming and the complex numbers, and want it enough not ignore it!

it's somewhat harsh to say it like that (i have similarly unpopular views of people dependent on antidepressants), so in order to take my judgement of whether i'm doing good or harm out of the equation i'll put the code solution here. i hope this will not reduce your will to derive the code and equations yourself.

---

lkmitch gave the expression (a^5 - 10a^3b^2 + 5ab^4) + i(5a^4b - 10a^2b^3 + b^5), which translates directly to

new_a = (a*a*a*a*a) - 10 * (a*a*a) * (b*b) + 5 * a * (b*b*b*b)
new_b = 5 * (a*a*a*a) * b - 10 * (a*a) * (b*b*b) + (b*b*b*b*b)

a = new_a
b = new_b

it's possible that this can be made more efficient by defining constant variables for powers of a and b (i can see a^2 and b^2 coming in handy), but that's perhaps best left to the compiler. and since you're using java you've no way to grok what's finally happening in the virtual machine anyway, not to mention the fact that performance isn't really java's selling point

expanding the formula for each number would be quite an effort, instead you should consider using a formula to raise a complex number to any complex number ( including any real number), here is a link which should provide you with the neccesary informations:

http://home.att.net/~srschmitt/complexnumbers.html