Product of gradients at intersection of null clines in 2D system

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The discussion centers on a rule of thumb for assessing the stability of fixed points in nonlinear systems by examining the product of the gradients of null clines at their intersection. A product of gradients less than -1 indicates stability, while greater than -1 suggests neutral stability or instability. The original poster is seeking references or a formal proof for this concept, which appears to lack a specific theorem name. A suggestion is made to visualize the vector field of attractors and repellers to better understand the angles and their implications for stability. Overall, the conversation highlights a practical approach to analyzing fixed points in 2D systems.
Appaloosa
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Hi all,

it seems that there is a rule of thumb used by some researchers looking at nonlinear systems whereby they determine the stability of fixed points based on the product of the gradients of the null clines at the point where they intersect. in particular if the product of the gradients is < -1 the fixed point is assumed to be stable and if it is > -1 the fixed point is either neutrally stable or unstable. i can't find the proof of this result anywhere, does anyone know of a reference which discuss this result or know if this is a named theorem?

many thanks..
 
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You cannot 'prove' a rule of thumb. An idea is to draw the vector field of an attractor and a repeller. Then have a look at the angles and whether they point out- or inwards, i.e. whether they are acute or obtuse.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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