While there is a generally accepted precise definition for the term "first order differential equation'', this is not the case for the term "Bifurcation''. View "bifurcation" as a description of certain phenomena instead.

In a very crude way, we will say that a system undergoes a bifurcation if and only if the global behavior of a system, which depends on a parameter, changes when the parameter varies. Let us illustrate this through the population dynamics example. Indeed, consider the logistic equation describing a certain fish population

where P(t) is the population of the fish at time t. If we assume that the fish are harvested at a constant rate (for example), then we have to modify the differential equation to

where H > 0 is the constant harvesting rate. Here is a simple example of a real-world problem modeled by a differential equation involving a parameter (the constant rate H ). Clearly, the fishermen will be happy if H is big, while ecologists will argue for a smaller H (in order to protect the fish population). What then is the ``optimal'' constant H (if such constant exists) which allows maximal harvesting without endangering the survival of the fish population?

First, let us look at the equilibria (or constant solutions) of this model. We must have which gives So 1: if H 1/4, then we do not have constant solutions.

This is an example of what is meant by "bifurcation". As you see the number of equilibria (or constant solutions) changes (from two to zero) as the parameter H changes (from below 1/4 to above 1/4). Note that this is just one form of bifurcation; there are other forms or changes, which are also called bifurcations

The Bifurcation Diagram A very helpful way to illustrate bifurcations is through a Bifurcation Diagram. Again we will illustrate this tool via the harvesting example. Indeed consider the fish population modeled by the equation where H > 0 is the constant rate at which the fish are harvested. As we saw before depending on the number H we may have two, one, or no constant solutions.

Let us draw this on a diagram with two axes on the horizontal axis, we will put the parameter H ; on the vertical axis, we will have the values of P, giving the constant solutions, that is Let us draw this on a diagram with two axes on the horizontal axis, we will put the parameter H ; on the vertical axis, we will have the values of P, giving the constant solutions, that is

Let us add some vertical lines describing the phase lines. Indeed, for every number H, the vertical line given by H is the phase line associated with the differential equation Recall that the phase line carries information on the nature of the constant solutions (or equilibria) with respect to their classification as sources, sinks, or nodes. This classification is given by the sign of the function. The graph of fH for different values of H is given below

Putting everything together we get the following diagram (which is called the bifurcation diagram)

Instead of just drawing some phase lines, we will usually color the regions. The next picture illustrates this very nicely:

Let us use this diagram to discuss the fate of the fish population as the parameter H increases. When H =0 (no fishing), the fish population tends to the carrying capacity P =1 which is a sink. If H increases but stays smaller than 0.25, then the fish population still tends to a new and smaller number which is a also sink. When H is increased more and exceeds 0.25, then the differential equation has no equilibrium points (constant solutions). The fish population is decreasing and crosses the t-axis at finite time. This means that the fish population will vanish completely in finite time. Hence, in order to avoid such a catastrophic outcome, H needs to be slightly lower than 0.25, which is called the optimal harvesting rate. You should also keep in mind that a slightly smaller number will be a better choice than H =0.25 itself, since for H =0.25 the only equilibrium point P = 0.5 is not a sink (in fact, it is a node) and as soon as the population P falls below 0.5, we will again witness extinction in finite time.

The next animation illustrates the behavior of the solutions as H changes. The animation is based on the differential equation P '= P (1- P /5)- h. In this case, the bifurcation occurs, when h =1.25.

Example: Consider the autonomous equation with parameter a. 1.Draw the bifurcation diagram for this differential equation. 2.Find the bifurcation values and describe how the behavior of the solutions changes close to each bifurcation value. Solution: First, we need to find the equilibrium points (critical points). They are found by setting. We get This a quadratic equation which solves into

we have if, then we have two equilibrium points; if, then we have one equilibrium point; AND if, then we have no equilibrium points. This clearly implies that the bifurcation occurs when or equivalently which gives.

The bifurcation diagram is given below. The equilibrium points are pictured in white, red colored areas are areas with "up“ arrows, and blue colored areas are areas with "down" arrows.

2. The bifurcation values are a = 4 and a = -4. Let us discuss what is happening around a =4 (similar conclusions hold for the other value): Left of a =4: no equilibrium; At a =4: we have a node (up), i.e. attractive from below and repelling from above (look at the bifurcation diagram); Right of a =4: we have two equilibria, the smaller one is a sink, the bigger one is a source, which explains the node behavior of.