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Solve the given initial value problem and determine at least approximately where the solution is valid. $$ (2 x-y) d x+(2 y-x) d y=0, \quad y(1)=3 $$

Short Answer

Expert verified
Question: Determine the solution of the initial value problem (2x - y)dx + (2y - x)dy = 0 with the initial condition y(1) = 3 and the interval where the solution is valid. Answer: The solution of the initial value problem is given by the function Ψ(x,y) = x^2 - yx + y^2 = 5. The solution is valid for all (x,y) ∈ ℝ².

Step by step solution

01

Checking if the given DE is an exact differential equation

To check the exactness of the given DE, we must find the partial derivatives M_x and N_y and compare them. Here, M(x,y) = 2x - y and N(x,y) = 2y - x. Calculate the partial derivatives: $$ M_x = \frac{\partial}{\partial x} (2x - y) = 2 \\ N_y = \frac{\partial}{\partial y} (2y - x) = 2 \\ $$ Since M_x = N_y, the given DE is an exact differential equation.
02

Solving the exact differential equation

We can find a function Ψ(x,y) such that Ψ_x = M and Ψ_y = N. Let's find Ψ(x,y): Integrate M with respect to x: $$ \int(2x - y)dx = x^2 - yx + h(y) \quad(1) $$ where h(y) is an arbitrary function of y. To find h(y), differentiate equation (1) with respect to y: $$ \frac{\partial}{\partial y}(x^2 - yx + h(y)) = -x + h'(y) \quad(2) $$ Comparing equation (2) with N(y), we get: $$ -x + h'(y) = 2y - x \\ h'(y) = 2y $$ Now integrate h'(y) to find h(y): $$ h(y) = \int(2y)dy = y^2 + C $$ where C is the constant of integration. Now, we can write the solution Ψ(x,y) as follows: $$ Ψ(x,y) = x^2 - yx + y^2 + C $$ The solution of the exact differential equation is given by Ψ(x,y) = k, where k is a constant.
03

Using the initial condition

We are given that when x = 1, y = 3. Using this initial condition, we can find the value of the constant k in the solution: $$ Ψ(1,3) = k \\ 1^2 - 3(1) + 3^2 = k \\ k = 5 $$ So the particular solution for the given DE and initial condition is Ψ(x,y) = 5, which can be written as: $$ x^2 - yx + y^2 = 5 $$
04

Determining the valid interval for the solution

To find the valid interval, we can look for the region in the xy-plane where the solutions exist. In our case, since there is no restriction on the domain of the solution function, the solution is valid for all (x,y) ∈ ℝ².

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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 (IVP) is a specific type of differential equation accompanied by a condition termed as the initial condition. This condition specifies the value of the unknown function at a particular point, often starting time or position. The purpose of solving an IVP is to find a function that not only satisfies the differential equation but also fulfills the initial condition, thus providing a unique solution to the problem.

To illustrate, let's consider the exercise problem. We have a differential equation and the initial condition given as y(1) = 3. The goal is to find a function y = f(x) that solves the differential equation for each value of x and that passes through the point (1,3). In the step-by-step solution provided, this process involved integrating and finding the constant k thanks to the initial value, leading to a specific equation that describes the behavior of the system described by the original differential equation.
Partial Derivatives
In calculus, Partial Derivatives are used when dealing with multiple variables and we want to measure the rate at which one variable changes with respect to another, keeping all other variables constant. They are fundamental in solving exact differential equations as well as finding local extrema of multivariable functions.

Considering our exercise, the partial derivatives M_x and N_y of the functions M(x, y) and N(x, y), respectively, are computed. If these partial derivatives are equal, as they are for the given case, the differential equation is deemed exact. It implies that there exists a function Ψ(x, y) whose differential matches the left-hand side of our original equation. In more complex settings, identifying if an equation is exact by comparing partial derivatives can save one from unnecessary trials of non-applicable solution methods.
Integration of Functions
The term Integration of Functions refers to the process of finding a function when its rate of change, or its derivative, is known. Integration is a core concept in mathematics that allows us to determine quantities like areas, volumes, and, in the context of differential equations, potential functions from their gradients.

In the exercise problem, we use integration to find the function Ψ(x, y) from the given rate-of-change functions M(x, y) and N(x, y). Integrating M with respect to x and N with respect to y and then combining the results gives us the potential function, which is the solution to the exact differential equation. The integration step is crucial, and the selection of integration constants is often refined by the initial condition, yielding the particular solution that describes the behavior of the system.

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Most popular questions from this chapter

draw a direction field and plot (or sketch) several solutions of the given differential equation. Describe how solutions appear to behave as \(t\) increases, and how their behavior depends on the initial value \(y_{0}\) when \(t=0\). $$ y^{\prime}=-y(3-t y) $$

A body of mass \(m\) is projected vertically upward with an initial velocity \(v_{0}\) in a medium offering a resistance \(k|v|,\) where \(k\) is a constant. Assume that the gravitational attraction of the earth is constant. $$ \begin{array}{l}{\text { (a) Find the velocity } v(t) \text { of the body at any time. }} \\ {\text { (b) Usethe result of } v \text { the collate the limit of } v(t) \text { as } k \rightarrow 0 \text { , that is, as the resistance }} \\ {\text { approaches zero Does this result agree with the velocity of a mass } m \text { projected uppard }} \\ {\text { with an initial velocity } v_{0} \text { in in a vacuam? }} \\ {\text { (c) Use the result of part (a) to calculate the limit of } v(t) \text { as } m \rightarrow 0 \text { , that is, as the mass }} \\ {\text { approaches zero. }}\end{array} $$

Draw a direction field for the given differential equation and state whether you think that the solutions are converging or diverging. $$ y^{\prime}=-t y+0.1 y^{3} $$

Involve equations of the form \(d y / d t=f(y)\). In each problem sketch the graph of \(f(y)\) versus \(y,\) determine the critical (equilibrium) points, and classify each one as asymptotically stable or unstable. $$ d y / d t=y(y-1)(y-2), \quad y_{0} \geq 0 $$

Epidemics. The use of mathematical methods to study the spread of contagious diseases goes back at least to some work by Daniel Bernoulli in 1760 on smallpox. In more recent years many mathematical models have been proposed and studied for many different diseases. Deal with a few of the simpler models and the conclusions that can be drawn from them. Similar models have also been used to describe the spread of rumors and of consumer products. Suppose that a given population can be divided into two parts: those who have a given disease and can infect others, and those who do not have it but are susceptible. Let \(x\) be the proportion of susceptible individuals and \(y\) the proportion of infectious individuals; then \(x+y=1 .\) Assume that the disease spreads by contact between sick and well members of the population, and that the rate of spread \(d y / d t\) is proportional to the number of such contacts. Further, assume that members of both groups move about freely among each other, so the number of contacts is proportional to the product of \(x\) and \(y .\) since \(x=1-y\) we obtain the initial value problem $$ d y / d t=\alpha y(1-y), \quad y(0)=y_{0} $$ where \(\alpha\) is a positive proportionality factor, and \(y_{0}\) is the initial proportion of infectious individuals. (a) Find the equilibrium points for the differential equation (i) and determine whether each is asymptotically stable, semistable, or unstable. (b) Solve the initial value problem (i) and verify that the conclusions you reached in part (a) are correct. Show that \(y(t) \rightarrow 1\) as \(t \rightarrow \infty,\) which means that ultimately the disease spreads through the entire population.

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