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analyze the phase plane of the differential equations for \(x, y \geq 0 .\) Show the nullclines and equilibrium points, and sketch the direction of the trajectories in each region. $$\begin{aligned} &\frac{d x}{d t}=x(2-x-3 y)\\\ &\frac{d y}{d t}=y(1-2 x) \end{aligned}$$

Short Answer

Expert verified
Identify nullclines and equilibria, analyze direction, and sketch phase plane.

Step by step solution

01

Identify the nullclines

For the given system of differential equations, nullclines are found by setting each derivative to zero.\\1. For \(dx/dt = x(2-x-3y) = 0\), the nullclines are:\ - \(x = 0\) or \(2-x-3y = 0\). This gives:\ - \(x = 0\) and \(y = \frac{2-x}{3}\).\ \ 2. For \(dy/dt = y(1-2x) = 0\), the nullclines are:\ - \(y = 0\) or \(1-2x = 0\). This gives: \ - \(y = 0\) and \(x = \frac{1}{2}\).
02

Find the equilibrium points

Equilibrium points occur where both \\(\frac{dx}{dt} = 0\) and \(\frac{dy}{dt} = 0\).\From Step 1 we have:\- Using \(x=0\) and \(y=0\), equilibrium at \((0,0)\).\- Plugging \(x=0\) into \(y = \frac{2-x}{3}\), equilibrium at \((0,\frac{2}{3})\).\- Setting \(x = \frac{1}{2}\) and \(y = 0\), equilibrium at \((\frac{1}{2}, 0)\).\- Solve \(2-x-3y = 0\) with \(1-2x=0\), giving equilibrium at \(\left(\frac{1}{2}, \frac{1}{2}\right)\).
03

Analyze phase plane and direction

For each region divided by the nullclines, determine the sign of \(\frac{dx}{dt}\) and \(\frac{dy}{dt}\) to sketch trajectory directions:\- **Region 1**: Above \(y=\frac{2-x}{3}\) and on the left of \(x=\frac{1}{2}\), \(\frac{dx}{dt} < 0\) and \(\frac{dy}{dt} < 0\).\- **Region 2**: Between \(x=0\) and \(x=\frac{1}{2}\), below \(y=\frac{2-x}{3}\), \(\frac{dx}{dt} > 0\) and \(\frac{dy}{dt} < 0\).\- **Region 3**: Right of \(x=\frac{1}{2}\) and below \(y=\frac{2-x}{3}\), \(\frac{dx}{dt} < 0\) and \(\frac{dy}{dt} > 0\).
04

Sketch the phase plane

Draw the nullclines: "\(x=0\)", "\(y=0\)", "\(x=\frac{1}{2}\)", and "\(y=\frac{2-x}{3}\)."\Plot the equilibrium points: \((0,0)\), \((0,\frac{2}{3})\), \((\frac{1}{2},0)\), and \((\frac{1}{2}, \frac{1}{2})\).\In regions defined in Step 3, use arrows to show directions of trajectories based on the sign of derivatives, indicating where \(x\) and \(y\) are increasing or decreasing.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Nullclines
Nullclines are an essential part of analyzing the phase plane of a system of differential equations. To find the nullclines, we set each derivative equal to zero. This helps us identify significant lines in the phase plane that describe the behavior of the system. For the equations \(\frac{d x}{d t}=x(2-x-3 y)\) and \(\frac{d y}{d t}=y(1-2 x)\), two sets of nullclines are discovered:
  • For \(\frac{dx}{dt}=0\): The solutions are \(x=0\) or \(2-x-3y=0\). This translates to nullclines at \(x=0\) and \(y=\frac{2-x}{3}\).
  • For \(\frac{dy}{dt}=0\): The solutions are \(y=0\) or \(1-2x=0\). This gives us nullclines at \(y=0\) and \(x=\frac{1}{2}\).
Locating these nullclines is the first step in understanding the system's dynamics. Each nullcline represents a line where one variable stops changing, which helps in identifying where the equilibrium points are and determining the overall behavior in different regions of the phase plane.
Equilibrium Points
Equilibrium points occur at the intersection of nullclines, where both derivatives \(\frac{dx}{dt}\) and \(\frac{dy}{dt}\) are zero. It's at these points that the system doesn’t move, meaning \(x\) and \(y\) remain constant over time. For our system, there are several equilibrium points:

  • \((0, 0)\): Both derivatives are automatically zero when \(x\) and \(y\) are zero.
  • \((0, \frac{2}{3})\): When \(x = 0\) plugged into \(y=\frac{2-x}{3}\), \(y\) equals \(\frac{2}{3}\).
  • \((\frac{1}{2}, 0)\): Substituting \(x = \frac{1}{2}\) into \(1-2x=0\) sets \(y = 0\).
  • \((\frac{1}{2}, \frac{1}{2})\): Solving \(2-x-3y=0\) with \(1-2x=0\) results in this point.
These equilibrium points are key; they reveal stable positions or configurations of the system. Analyzing their stability helps predict long-term behavior of the system, allowing insight into whether solutions will tend to stay near these points or move away.
Trajectory Directions
In each region of the phase plane divided by the nullclines, direction of movement helps analyze how the system behaves. By determining the sign of \(\frac{dx}{dt}\) and \(\frac{dy}{dt}\), you can identify trajectory directions—showing whether \(x\) and \(y\) increase or decrease. For the given system, consider:

  • **Region 1**: Above \(y=\frac{2-x}{3}\) and left of \(x=\frac{1}{2}\), both \(\frac{dx}{dt}\) and \(\frac{dy}{dt}\) are negative, meaning both \(x\) and \(y\) decrease.
  • **Region 2**: Below \(y=\frac{2-x}{3}\) between \(x=0\) and \(x=\frac{1}{2}\), \(\frac{dx}{dt}\) is positive and \(\frac{dy}{dt}\) is negative, showing \(x\) increases while \(y\) decreases.
  • **Region 3**: Right of \(x=\frac{1}{2}\) and below \(y=\frac{2-x}{3}\), \(\frac{dx}{dt}\) is negative while \(\frac{dy}{dt}\) is positive, indicating \(x\) decreases and \(y\) increases.
Understanding trajectory directions assists in visualizing how a point will move through the phase plane over time. They highlight the flow of the system, and indicate directions in which the system's state will evolve from any initial condition.
Phase Plane Sketch
The phase plane sketch is a visual representation of the system's dynamics. It combines nullclines, equilibrium points, and trajectory directions to create a comprehensive picture of the behavior. When sketching a phase plane:

  • Start by plotting the nullclines like lines where the derivatives are zero. This includes \(x=0\), \(y=0\), \(x=\frac{1}{2}\), and \(y=\frac{2-x}{3}\).
  • Mark equilibrium points: \((0,0)\), \((0,\frac{2}{3})\), \((\frac{1}{2},0)\), and \((\frac{1}{2}, \frac{1}{2})\).
  • In the spaces between these lines, draw arrows representing trajectory directions from each region analysis, showing flow based on the signs of derivatives.
This sketch helps in visualizing how the system evolves and transitions between different states. It's especially useful for predicting patterns over time and understanding the dynamics at and around equilibrium.

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