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Jabotinsky's iterative logarithm - Printable Version +- Tetration Forum (https://tetrationforum.org) +-- Forum: Tetration and Related Topics (https://tetrationforum.org/forumdisplay.php?fid=1) +--- Forum: Mathematical and General Discussion (https://tetrationforum.org/forumdisplay.php?fid=3) +--- Thread: Jabotinsky's iterative logarithm (/showthread.php?tid=166) |
RE: Jabotinsky's iterative logarithm - bo198214 - 05/23/2008 Ivars Wrote:Would that be true also for imaginary t? t=I, like: yes. As one can see from the derivation it is true for any complex iteration counts. Quote:The functions having ilog property ilog(fg)=ilog (f) + ilog(g) seem to be rather wide class, am I right? Its not one class, there are equivalence classes where \( f \) is considered to be equivalent to \( g \) if there is some \( t\neq 0 \) such that \( f=g^{\circ t} \), for each equivalent \( f \) and \( g \) this property holds. RE: Jabotinsky's iterative logarithm - andydude - 05/23/2008 @Henryk Good point, (about the \( f^{\circ t} \) being a function-parameter, not the value-parameter) I didn't realize that because of the vague notation that we use. I'm going to use a very verbose notation, like the kind used for other transforms (like Fourier \( \mathcal{F}[f](x) \) and Laplace \( \mathcal{L}[f](x) \) transforms) so that we can get this right. Starting with the Abel functional equation: \( \mathcal{A}[f](f^{\circ t}(x)) = \mathcal{A}[f](x) + t \) \( \frac{\partial}{\partial x} \mathcal{A}[f](f^{\circ t}(x)) (f^{\circ t})'(x) = \frac{\partial}{\partial x} \mathcal{A}[f](x) \) \( \mathcal{J}[f](f^{\circ t}(x)) = (f^{\circ t})'(x) \mathcal{J}[f](x) \) George Szekeres defines the Julia function as a function that satisfies the above functional equation and is also the reciprocal of the derivative of the Abel function. This is exactly what has just been said about "ilog" so these should be the same function. The discussion above defines the same function as: \( \mathcal{J}[f](x) = \left[\frac{\partial}{\partial t} f^{\circ t}(x)\right]_{t=0} \) such that: \( \mathcal{J}[f^{\circ t}](x) = t \mathcal{J}[f](x) \) which according to you and Ecalle, is also related as: \( \mathcal{J}[f](x) = \frac{1}{\frac{\partial}{\partial x} \mathcal{A}[f](x)} \) which is exactly the definition of a Julia function. I think what we should take away from this is that the two equations:
\( \mathcal{J}[f](f^{\circ t}(x)) = (f'(x))^t \mathcal{J}[f](x) \)
do not contradict each other in any way (although they would if we continued using the vague notation). And that now that we see that these are talking about the same function, now we know 2 things about 1 function, as opposed to 1 thing about 2 functions...\( \mathcal{J}[f^{\circ t}](x) = t \mathcal{J}[f](x) \) [update]I fixed the t=1 problem.[/update] Andrew Robbins RE: Jabotinsky's iterative logarithm - bo198214 - 05/23/2008 andydude Wrote:Starting with the Abel functional equation:For me it looks as if there always \( t=1 \) must be set ... Quote:now we know 2 things about 1 function, as opposed to 1 thing about 2 functions...
RE: Jabotinsky's iterative logarithm - Gottfried - 05/23/2008 bo198214 Wrote:Gosh, I should learn proper reading first. Jabotinsky states:Reading the above with the "matrix-filter", and for F and G are resp. matrix-operators FM and GM thought. then the above equality (F°G = G°F) holds only, if the matrices commute - and this is also required, if the matrix-logarithms are to be added: log(FM) + log(GM) = log(FM*GM) = log(GM*FM) <=> FM and GM commute. For finite matrices it is also known, that matrices are commuting, if their eigenvectors are identical. But if the eigenvectors are identical, then FM and GM differ only by their sets of eigenvalues FV and GV. Hmm. What is surprising now is, that if FM and GM provide different iterates, then, for tetration, the eigenvalues in FV and GV must be appropriate powers of the same base - this seems much more restrictive than the statement of Jabotinski: there I can't find such a restriction (but maybe I'm just missing this at the moment) Gottfried RE: Jabotinsky's iterative logarithm - bo198214 - 05/24/2008 Gottfried Wrote:For finite matrices it is also known, that matrices are commuting, if their eigenvectors are identical. But if the eigenvectors are identical, then FM and GM differ only by their sets of eigenvalues FV and GV. Thats a good additional information for us non-matrixers ![]() Quote:Hmm. What is surprising now is, that if FM and GM provide different iterates, then, for tetration, the eigenvalues in FV and GV must be appropriate powers of the same base - this seems much more restrictive than the statement of Jabotinski: there I can't find such a restriction (but maybe I'm just missing this at the moment) But take into account that Jabotinsky is only considering functions with f(0)=0, i.e. which have a fixed point at 0. Generally all formal powerseries co mputations are restricted to this case because otherwise the coefficients of composition are no finite expressions (in terms of power series coefficients) anymore. RE: Jabotinsky's iterative logarithm - andydude - 05/24/2008 bo198214 Wrote:For me it looks as if there always \( t=1 \) must be set ...oops \( \mathcal{J}[f](f^{\circ t}(x)) = (f^{\circ t})'(x) \mathcal{J}[f](x) \) RE: Jabotinsky's iterative logarithm - Gottfried - 05/24/2008 bo198214 Wrote:But take into account that Jabotinsky is only considering functions with f(0)=0, i.e. which have a fixed point at 0. Generally all formal powerseries co mputations are restricted to this case because otherwise the coefficients of composition are no finite expressions (in terms of power series coefficients) anymore. Ah -yes. If he matrix-operator is triangular, then the diagonal is the sequence of consecutive powers of f'(0)/1! . So, in matrix-lingo it is the statement:[updated]
Hmm. this statement is worth to be put into the matrix-facts-library (to be created)... Gottfried RE: Jabotinsky's iterative logarithm - bo198214 - 05/24/2008 Gottfried Wrote:Ah -yes. If he matrix-operator is triangular, then the diagonal is the sequence of consecutive powers of f'(0)/1! . So, in matrix-lingo it is the statement: Yes! (However "height" sounds strange when used for iteration of functions which are not exponentials) Quote:[*] remark: this argumentation seems to include, that f and g have the same base-parameter There is no base. \( f \) and \( g \) are arbitrary analytic functions with development and fixed point at 0. RE: Jabotinsky's iterative logarithm - Gottfried - 05/24/2008 bo198214 Wrote:Quote:[*] remark: this argumentation seems to include, that f and g have the same base-parameter Hmm - first: I didn't expect that someone would reply so fast; so I added my corrections in the statement-list just by updating. Sorry. second: yes, true; may be the terms "base" and "height" focus the reader to some speciality. What I mean is the following. I express the operator iteration as addition: x {+,b} h which means (x +b)+b)+b)...+b) h-times multiplication: x {*,b} h which means (x *b)*b)*b)...*b) h-times tetration: x {^,b} h which means b^(...^(b^(b^x)))) h-times and generally for a function F, expressed as operator, this may perhaps be extended to function F: x {F,b} h which means then F(F(...F((x))) Then the formal base-parameter b may be included into the definition of F itself and may be omitted/defaulted. For instance, we are not used to consider the sin()-function in explicite terms of a "base" - but in fact, the powerseries may be parametrized with log(b) getting a sin_b(x), and the conventional sin()-function is then sin_b(x) with b=exp(1) So, for the iterated sin-function sin_b we may write function sin_b: x {SIN,b} h which means then sin_b(sin_b(...sin_b(x))) h-times and then function sin : x {SIN,exp(1)} h with the default function sin : x {sin} h = sin°h(x) Regarding the "Height" - well, in fact it is better to say "iterate", but the letter "i" for its abbreviation would be *much* confusing. Our usual "t" is somehow anonym, and I used "t" from the beginning of my tetration-discussion as a very basic notation (also in my program-code), so what to do? "Height" for "iteration-height" is at least not completely misleading... RE: Jabotinsky's iterative logarithm - bo198214 - 05/24/2008 Gottfried Wrote:Regarding the "Height" - well, in fact it is better to say "iterate", but the letter "i" for its abbreviation would be *much* confusing. Our usual "t" is somehow anonym, and I used "t" from the beginning of my tetration-discussion as a very basic notation (also in my program-code), so what to do? Perhaps we can agree on an external third person. Ecalle uses \( w \) for what I would call "iteration exponent" or "iteration count". So \( w \) would be mnemonic for "iteration width" haha. |