the local maximum is plotted against the next local maximum, , the resulting plot (shown here for , , ) is unimodal, resembling a skewed Hénon map. Knowing that the Rössler attractor can be used to create a pseudo 1-d map, it then follows to use similar analysis methods. The bifurcation diagram is a particularly useful analysis method. Variation of parameters Rössler attractor's behavior is largely a factor of the values of its constant parameters , , and . In general, varying each parameter has a comparable effect by causing the system to converge toward a periodic orbit, fixed point, or escape towards infinity, however the specific ranges and behaviors induced vary substantially for each parameter. Periodic orbits, or "unit cycles," of the Rössler system are defined by the number of loops around the central point that occur before the loops series begins to repeat itself. Bifurcation diagrams are a common tool for analyzing the behavior of dynamical systems, of which the Rössler attractor is one. They are created by running the equations of the system, holding all but one of the variables constant and varying the last one. Then, a graph is plotted of the points that a particular value for the changed variable visits after transient factors have been neutralised. Chaotic regions are indicated by filled-in regions of the plot. Varying a Here, is fixed at 0.2, is fixed at 5.7 and changes. Numerical examination of the attractor's behavior over changing suggests it has a disproportional influence over the attractor's behavior. The results of the analysis are: : Converges to the centrally located fixed point : Unit cycle of period 1 : Standard parameter value selected by Rössler, chaotic : Chaotic attractor, significantly more Möbius strip-like (folding over itself). : Similar to .3, but increasingly chaotic : Similar to .35, but increasingly chaotic. Varying b Here, is fixed at 0.2, is fixed at 5.7 and changes. As shown in the accompanying diagram, as approaches 0 the attractor approaches infinity (note the upswing for very small values of . Comparative to the other parameters, varying generates a greater range when period-3 and period-6 orbits will occur. In contrast to and , higher values of converge to period-1, not to a chaotic state. Varying c Here, and changes. The bifurcation diagram reveals that low values of are periodic, but quickly become chaotic as increases. This pattern repeats itself as increases