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The initial value problem \(y^{\prime}+y=q(t) y^{2}, y(0)=y_{0}\) is known to have solution $$ y(t)=\frac{3}{(1-3 t) e^{t}} $$ on the interval \(-\infty

Short Answer

Expert verified
Question: Determine the coefficient function q(t) and the initial value y_0 of the given solution y(t) = 3/((1-3t)e^t) for the Riccati equation y'(t) + y(t) = q(t)y^2(t). Answer: The coefficient function is q(t) = (t^2e^t - t + 2/3)e^t and the initial value is y_0 = 3.

Step by step solution

01

Differentiate the given solution

Differentiate the given solution \(y(t)\) with respect to \(t\). Using the quotient rule, we get: $$ y^\prime(t) = \frac{-3(1-3t)e^t - 3(1-3t)e^t (-1)}{((1-3t)e^t)^2} $$ Simplify the expression: $$ y^\prime(t)= \frac{-6+9t}{((1-3t)e^t)^2} $$
02

Substitute \(y(t)\) and \(y^\prime(t)\) into the equation

Now substitute \(y(t)\) and \(y^\prime(t)\) into the given equation \(y^\prime+y=q(t)y^2\): $$ \frac{-6+9t}{((1-3t)e^t)^2} + \frac{3}{(1-3t)e^t} = q(t) \left(\frac{3}{(1-3t)e^t}\right)^2 $$
03

Solve for \(q(t)\)

.multiply both sides by \((1-3t)^2e^{2t}\) to get rid of the denominators: $$ (-6+9t)(1-3t)e^{t} + 3(1-3t)^2e^{2t} = 9q(t) $$ Let's simplify the equation: $$ (9t^2e^t - 9t + 6)e^t = 9q(t) $$ Divide both sides by 9: $$ q(t) = (t^2e^t - t + \frac{2}{3})e^t $$
04

Find the initial value \(y_0\)

Now, find the initial value \(y_0\) by evaluating the given solution \(y(t)\) at \(t=0\): $$ y_0 = y(0) = \frac{3}{(1 - 3\cdot 0)e^0} = \frac{3}{1} = 3 $$ So the coefficient function is \(q(t) = (t^2e^t - t + \frac{2}{3})e^t\) and the initial value is \(y_0 = 3\).

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Key Concepts

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

Initial Value Problem
An initial value problem in differential equations includes a differential equation along with a specified value, known as the initial value, at a particular point. These problems have great importance in understanding how functions evolve over time from a known starting condition. In our example, the differential equation is \(y^{\prime} + y = q(t) y^2\) complementing with \(y(0) = y_0\) as the initial condition. This means we need to determine \(y(t)\) from its derivative \(y^{\prime}\) while satisfying the condition where \(t=0\), \(y(t)\) equals \(y_0\).

Initial value problems allow us to track systems' behavior under certain initial conditions and predict future states. In our exercise, the specific solution \(y(t) = \frac{3}{(1-3t)e^t}\) satisfies both the differential equation and the initial condition, enabling us to find \(q(t)\) and \(y_0\). In practical terms, IPVs are crucial for modeling phenomena such as population dynamics, financial markets, and physical systems.
Quotient Rule
When dealing with differential equations, differentiation of functions may involve applying special techniques. The quotient rule is key to differentiating a function that is the division of two other functions. If you have a function \(f(t) = \frac{u(t)}{v(t)}\), the derivative \(f^{\prime}(t)\) is calculated as:\[\frac{d}{dt} \left( \frac{u}{v} \right) = \frac{v \cdot u^{\prime} - u \cdot v^{\prime}}{v^2}\]
This rule helps find the derivative of the solution \(y(t)\), which is more complex due to its fraction structure. In our problem, we used this rule to obtain \(y^{\prime}(t)\) from \(y(t) = \frac{3}{(1-3t)e^t}\). As we can see, the numerator is derived from multiplying the derivative of the numerator by the denominator, minus the numerator times the derivative of the denominator.
Understanding the quotient rule is foundational for tackling more involved calculus problems, especially those involving rational functions in both real and applied contexts.
Coefficient Function
A coefficient function defines how the variable part of a differential equation is scaled or transformed by a function. In our differential equation \(y^{\prime} + y = q(t) y^2\), \(q(t)\) represents such a function that modifies the rate of change as dictated by the equation. This function is typically dependent on the independent variable, \(t\), and can greatly influence the system's dynamics.

From the problem, after evaluating the expressions and simplifying, we derived \(q(t) = (t^2 e^t - t + \frac{2}{3}) e^t\). This coefficient function allows us to understand how the system interacts and affects the solution's behavior over different intervals. It acts as a parameter that shapes the trajectory of solutions, often informing predictions based on particular models like economic growth rates or population dynamics.
  • Influences amplitude or rate of change in the solution.
  • Dependent on the variable of interest.
  • Shapes the outcome significantly.
Interval of Solution
The interval of solution in differential equations denotes the range of variable values over which a solution is valid and meaningful. In our exercise, the solution \(y(t) = \frac{3}{(1-3t)e^t}\) is defined on the interval \(-\infty < t < \frac{1}{3}\). This interval is crucial since it informs where the solution applies and is physically feasible.
\(t < \frac{1}{3}\) ensures that the denominator of the solution does not become zero, which would make the function undefined. Specifying these intervals helps us avoid singularities or points where solutions might behave irregularly.

Interpreting intervals is a key aspect of mathematical modeling and real-world applications, as they delineate boundaries, ensure solutions' validity, and guide parameter choices within those bounds. It ensures that solutions align with specific conditions and restrictions in practice.

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Most popular questions from this chapter

Consider a population modeled by the initial value problem $$ \frac{d P}{d t}=(1-P) P+M, \quad P(0)=P_{0} $$ where the migration rate \(M\) is constant. [The model (8) is derived from equation (6) by setting the constants \(r\) and \(P_{*}\) to unity. We did this so that we can focus on the effect \(M\) has on the solutions.] For the given values of \(M\) and \(P(0)\), (a) Determine all the equilibrium populations (the nonnegative equilibrium solutions) of differential equation (8). As in Example 1, sketch a diagram showing those regions in the first quadrant of the \(t P\)-plane where the population is increasing \(\left[P^{\prime}(t)>0\right]\) and those regions where the population is decreasing \(\left[P^{\prime}(t)<0\right]\). (b) Describe the qualitative behavior of the solution as time increases. Use the information obtained in (a) as well as the insights provided by the figures in Exercises 11-13 (these figures provide specific but representative examples of the possibilities). $$ M=-\frac{1}{4}, \quad P(0)=\frac{1}{4} $$

Assume Newton's law of cooling applies. The temperature of an object is raised from \(70^{\circ} \mathrm{F}\) to \(150^{\circ} \mathrm{F}\) in \(10 \mathrm{~min}\) when placed within a \(300^{\circ} \mathrm{F}\) oven. What oven temperature will raise the object's temperature from \(70^{\circ} \mathrm{F}\) to \(150^{\circ} \mathrm{F}\) in \(5 \mathrm{~min}\) ?

A tank, having a capacity of \(700 \mathrm{gal}\), initially contains \(10 \mathrm{lb}\) of salt dissolved in 100 gal of water. At time \(t=0\), a solution containing \(0.5 \mathrm{lb}\) of salt per gallon flows into the tank at a rate of 3 gal/min and the well-stirred mixture flows out of the tank at a rate of \(2 \mathrm{gal} / \mathrm{min}\). (a) How much time will elapse before the tank is filled to capacity? (b) What is the salt concentration in the tank when it contains 400 gal of solution? (c) What is the salt concentration at the instant the tank is filled to capacity?

(a) Obtain an implicit solution and, if possible, an explicit solution of the initial value problem. (b) If you can find an explicit solution of the problem, determine the \(t\)-interval of existence. $$ \frac{d y}{d t}=t-t y^{2}, \quad y(0)=\frac{1}{2} $$

Oscillating Inflow Concentration A tank initially contains \(10 \mathrm{lb}\) of salt dissolved in 200 gal of water. Assume that a salt solution flows into the tank at a rate of \(3 \mathrm{gal} / \mathrm{min}\) and the well-stirred mixture flows out at the same rate. Assume that the inflow concentration oscillates in time, however, and is given by \(c_{i}(t)=0.2(1+\sin t) \mathrm{lb}\) of salt per gallon. Thus, as time evolves, the concentration oscillates back and forth between 0 and \(0.4 \mathrm{lb}\) of salt per gallon. (a) Make a conjecture, on the basis of physical reasoning, as to whether or not you expect the amount of salt in the tank to reach a constant equilibrium value as time increases. In other words, will \(\lim _{t \rightarrow \infty} Q(t)\) exist? (b) Formulate the corresponding initial value problem. (c) Solve the initial value problem. (d) Plot \(Q(t)\) versus \(t\). How does the amount of salt in the tank vary as time becomes increasingly large? Is this behavior consistent with your intuition?

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