Problem 59
Question
Approach a steady state \(y_{x}\) as \(t \rightarrow \infty\). Graph \(y(t)\) when \(y^{\prime}=3 y-12\) and \(y_{0}\) is (a) below 4 (b) equal to 4 (c) above 4
Step-by-Step Solution
Verified Answer
The steady state \( y = 4 \) attracts all solutions, regardless of initial condition.
1Step 1: Rewrite the Differential Equation
The differential equation given is \( y' = 3y - 12 \). Rewrite this equation in the form \( y' = 3(y - 4) \) to better understand its behavior as \( t \rightarrow \infty \). This reveals that the equilibrium solution (steady state) is \( y = 4 \).
2Step 2: Consider the Solution for Different Initial Conditions
We are tasked with examining the behavior of solutions based on different initial conditions: \( y_0 < 4 \), \( y_0 = 4 \), and \( y_0 > 4 \). Use these initial conditions to analyze how they approach the steady state \( y = 4 \).
3Step 3: Solve the Standard Linear Differential Equation
Solve the differential equation \( y' = 3(y - 4) \). The general solution to the equation is found using the integrating factor method or by recognizing it as a standard linear first-order differential equation. You can use the form \( y(t) = Ce^{3t} + 4 \) where \( C \) is determined by the initial conditions.
4Step 4: Analyze Initial Condition (a) \( y_0 < 4 \)
For initial conditions below 4, e.g., \( y_0 = 3 \): \( C = y_0 - 4 = 3 - 4 = -1 \). Thus, the solution is \( y(t) = -e^{3t} + 4 \). As \( t \rightarrow \infty \), \( -e^{3t} \) exponentially decays to zero and \( y(t) \) approaches 4 from below.
5Step 5: Analyze Initial Condition (b) \( y_0 = 4 \)
For initial condition \( y_0 = 4 \): \( C = y_0 - 4 = 0 \). The solution is \( y(t) = 4 \), meaning it remains constant at 4 for all \( t \), indicating that \( y \) is already at the steady state.
6Step 6: Analyze Initial Condition (c) \( y_0 > 4 \)
For initial conditions above 4, e.g., \( y_0 = 5 \): \( C = y_0 - 4 = 5 - 4 = 1 \). The solution is \( y(t) = e^{3t} + 4 \). As \( t \rightarrow \infty \), \( e^{3t} \) exponentially grows towards infinity, and \( y(t) \) approaches 4 from above.
7Step 7: Sketch the Graph of \( y(t) \)
Sketch the graphs for all three initial conditions. For \( y_0 < 4 \), the curve approaches 4 from below. For \( y_0 = 4 \), the graph is a horizontal line at 4. For \( y_0 > 4 \), the curve approaches 4 from above. All solutions tend toward \( y = 4 \), demonstrating that it is a global attractor.
Key Concepts
Differential EquationsSteady State AnalysisFirst-order Linear Differential EquationsGraphical Solution of Differential Equations
Differential Equations
A differential equation is a mathematical equation that involves an unknown function and its derivatives. It expresses a relationship between a function and its rate of change. Differential equations are fundamental in describing various phenomena, such as motion, growth, and decay, as they provide a framework for modeling how quantities change over time or space.
In our problem, we have the differential equation \( y' = 3y - 12 \). Here, \( y' \) represents the derivative of \( y \) with respect to time, and the equation describes how \( y \) changes as a function of \( y \) itself. This specific type of equation is used to model growth processes where the rate of change is proportional to the current amount, modified by a constant offset.
In our problem, we have the differential equation \( y' = 3y - 12 \). Here, \( y' \) represents the derivative of \( y \) with respect to time, and the equation describes how \( y \) changes as a function of \( y \) itself. This specific type of equation is used to model growth processes where the rate of change is proportional to the current amount, modified by a constant offset.
Steady State Analysis
Steady-state analysis refers to evaluating the behavior of a system as it approaches equilibrium, where the system's state does not change anymore despite the passage of time. In practical terms, this is often the scenario where a system stops reacting to stimuli as it stabilizes.
In this exercise, a steady-state occurs when the derivative \( y' \) becomes zero, meaning that \( y \) no longer changes with time. From the rewritten equation \( y' = 3(y - 4) \), the steady-state solution is found by setting \( y' = 0 \), giving us \( y = 4 \). Thus, regardless of the initial condition, as time progresses towards infinity, the value of \( y \) tends to stabilize around 4. This indicates that \( y = 4 \) is an equilibrium point or the steady-state solution of the differential equation.
In this exercise, a steady-state occurs when the derivative \( y' \) becomes zero, meaning that \( y \) no longer changes with time. From the rewritten equation \( y' = 3(y - 4) \), the steady-state solution is found by setting \( y' = 0 \), giving us \( y = 4 \). Thus, regardless of the initial condition, as time progresses towards infinity, the value of \( y \) tends to stabilize around 4. This indicates that \( y = 4 \) is an equilibrium point or the steady-state solution of the differential equation.
First-order Linear Differential Equations
First-order linear differential equations are a class of differential equations characterized by the linearity in the unknown function and its first derivative. Such equations take the general form \( y' + p(t)y = g(t) \).
The given problem \( y' = 3(y - 4) \) is a simplified form of a first-order linear differential equation after re-arranging terms. To solve it, the integrating factor method is usually employed, but given the simplicity, it can also be recognized as a separable equation. The solution form \( y(t) = Ce^{3t} + 4 \), where \( C \) is a constant based on initial conditions, exemplifies how the general and particular solutions to a linear differential equation are structured.
The given problem \( y' = 3(y - 4) \) is a simplified form of a first-order linear differential equation after re-arranging terms. To solve it, the integrating factor method is usually employed, but given the simplicity, it can also be recognized as a separable equation. The solution form \( y(t) = Ce^{3t} + 4 \), where \( C \) is a constant based on initial conditions, exemplifies how the general and particular solutions to a linear differential equation are structured.
Graphical Solution of Differential Equations
Visualizing differential equations graphically helps to understand the behavior of solutions over time. A graph illustrates how a solution approaches steady state, moves towards stability, and responds to initial conditions.
In this exercise, the graphical solution is drawn for three initial conditions \( y_0 < 4 \), \( y_0 = 4 \), and \( y_0 > 4 \). Each corresponds to a distinct behavior:
In this exercise, the graphical solution is drawn for three initial conditions \( y_0 < 4 \), \( y_0 = 4 \), and \( y_0 > 4 \). Each corresponds to a distinct behavior:
- For \( y_0 < 4 \), the curve approaches 4 from below, converging upwards as it stabilizes.
- For \( y_0 = 4 \), the value remains constant, represented by a horizontal line at 4.
- For \( y_0 > 4 \), the curve approaches 4 from above, descending gradually to reach equilibrium.
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