https://doi.org/10.1111/j.1461-0248.2007.01131.x
$$\dot A = -p_1 A + p_2 J$$ $$\dot F = p_3 (1 - p_4 F) - p_5 F A$$ $$\dot J = p_6 - J A - p_7 F J / (p_8 + F) + p_9 A$$
So:
$$\dot J = - q_1 J^2 - q_2 / (1 + J ) + q_3 J$$
library(ggplot2)
Here's the J model:
p1 <- 1 p2 <- 100 p3 <- 1 p4 <- 10 f <- function(x) - p1 * x ^ 2 - p2 / (p3 + x) + p4 * x
Hello multiple stable states:
x = seq(1,10, .01) df <- data.frame(x, f= f(x)) ggplot(df, aes(x,f)) + geom_line() + geom_hline(yintercept = 0)
Bye Bye stable state, hello collpase
p4 <- 8 df <- data.frame(x, f= f(x)) ggplot(df, aes(x,f)) + geom_line() + geom_hline(yintercept = 0)
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