Modelling solar cycle length based on Poincaré maps for Lorenz-type equations

Mathematics – Dynamical Systems

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Two systems of Lorenz-type equations modelling solar magnetic activity are studied: Firstly a low order dynamic system in which the toroidal and poloidal fields are represented by x- and y-coordinates respectively, and the hydrodynamical information is given by the z coordinate. Secondly a complex generalization of the three ordinary differential equations studied by Lorenz. By studying the Poincaré map we give numerical evidence that the flow has an attractor with fractal structure. The period is defined as the time needed for a point on a hyperplane to return to the hyperplane again. The periods are distributed in an interval. For large values of the Dynamo number there is a long tail toward long periods and other interesting comet-like features. These general relations found for periods can further be physically interpreted with improved helioseismic estimates of the parameters used by the dynamical systems. Solar Dynamic Observatory is expected to offer such improved measurements.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Modelling solar cycle length based on Poincaré maps for Lorenz-type equations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Modelling solar cycle length based on Poincaré maps for Lorenz-type equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modelling solar cycle length based on Poincaré maps for Lorenz-type equations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1802580

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.