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Show that the equations are not exact, but become exact when multiplied by the given integrating factor. Then solve the equations. $$ (x+2) \sin y d x+x \cos y d y=0, \quad \mu(x, y)=x e^{x} $$

Short Answer

Expert verified
Based on the given information and the step by step solution above, the final answer for the differential equation after applying the integrating factor is: $$xe^x \sin y -2e^x \cos y = C$$

Step by step solution

01

Check if the given differential equation is exact

To check if the given equation is exact, we will use the test of exactness. The test requires computing the partial derivatives. Let's first assign the functions to M and N: $$M(x, y) = (x + 2) \sin y$$ $$N(x, y) = x \cos y$$ Now, compute the partial derivatives: $$\frac{\partial M}{\partial y} = (x + 2) \cos y$$ $$\frac{\partial N}{\partial x} = \cos y$$ Since \(\frac{\partial M}{\partial y} \neq \frac{\partial N}{\partial x}\), the given differential equation is not exact.
02

Multiply the given equation by the integrating factor

To make the given differential equation exact, we need to multiply it by the integrating factor, \(\mu(x, y) = x e^x\): $$\Rightarrow \mu(x, y) (x+2) \sin y dx + \mu(x,y) x \cos y dy = 0$$ $$\Rightarrow x e^x (x+2) \sin y dx + x e^x x \cos y dy = 0$$
03

Verify that the modified equation is exact

We will now check if the modified equation is exact by calculating the partial derivatives. Let's redefine the functions M and N with the integrating factor: $$M'(x, y) = x e^x (x+2) \sin y$$ $$N'(x, y) = x^2 e^x \cos y$$ Now, compute the partial derivatives: $$\frac{\partial M'}{\partial y} = x e^x (x+2) \cos y$$ $$\frac{\partial N'}{\partial x} = x e^x [(x+2) \cos y + x \cos y] = x e^x (x+2) \cos y$$ Since \(\frac{\partial M'}{\partial y} = \frac{\partial N'}{\partial x}\), the modified differential equation is exact.
04

Solve the exact differential equation

To solve the exact differential equation, we need to find the function f(x,y) such that: $$\frac{\partial f}{\partial x} = x e^x (x+2) \sin y$$ $$\frac{\partial f}{\partial y} = x^2 e^x \cos y$$ Integrate the first equation with respect to x: $$f(x, y) = \int x e^x (x+2) \sin y dx = xe^x \sin y-2e^x \cos y + g(y)$$ Now differentiate f(x, y) with respect to y: $$\frac{\partial f}{\partial y} = xe^x \cos y - 2e^x(-\sin y) + g'(y) = x^2 e^x \cos y$$ Comparing this with our second equation, we can see that: $$g'(y) = 0 \Rightarrow g(y) = C$$ Thus, the solution to the exact differential equation is: $$xe^x \sin y -2e^x \cos y = C$$

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Key Concepts

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

Integrating Factor
When solving a differential equation that is not exact, an integrating factor can sometimes make it exact. An integrating factor is a function, usually denoted by \( \mu(x, y) \), which when multiplied by the differential equation, transforms it into an exact equation. This means the form of the equation can be adjusted such that the partial derivatives are equal, satisfying the condition for exactness.
  • To find the appropriate integrating factor for a given equation, it often involves intuition or trial based on the structure of the equation.
  • In our exercise, the integrating factor \( \mu(x, y) = x e^x \) makes the original non-exact equation into an exact equation.
The process involves multiplying each term of the differential equation by \( \mu(x, y) \) to ensure the recalculated partial derivatives become equal. Once the equation is exact, it becomes significantly easier to solve systematically.
Partial Derivatives
Partial derivatives play a critical role in checking the exactness of a differential equation. They represent the rate of change of a function with respect to one variable while keeping all other variables constant. For a differential equation, we define functions \( M(x, y) \) and \( N(x, y) \) from the terms involving \( dx \) and \( dy \) respectively.
  • To determine if an equation is exact, we compute \( \frac{\partial M}{\partial y} \) and \( \frac{\partial N}{\partial x} \).
  • If \( \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} \), the equation is exact.
In the provided exercise, the initial equations did not satisfy this equality until they were multiplied by the integrating factor \( \mu(x, y) \). The recalculated partial derivatives proved the transformed equation is exact.
Exactness Criterion
The exactness criterion is crucial in identifying whether a differential equation is exact. It revolves around the equality of specific partial derivatives as mentioned in the previous section. In mathematical terms, for a differential equation of the form \( M(x, y)dx + N(x, y)dy = 0 \), the criterion checks whether:
  • \( \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} \)
If this condition is met, it means that there exists a scalar function \( f(x, y) \) such that \( \frac{\partial f}{\partial x} = M \) and \( \frac{\partial f}{\partial y} = N \).
In our case, multiplying by the integrating factor \( x e^x \) aligns the partial derivatives, changing the equation’s form to meet the exactness criterion.
Solving Differential Equations
Once a differential equation has been confirmed to be exact, or made exact by an integrating factor, solving it involves finding the potential function \( f(x, y) \). This function is the solution to the equation, usually expressed implicitly. The steps include:
  • Integrate \( M(x, y) \) with respect to \( x \) to find \( f(x, y) \) plus an arbitrary function of \( y \).
  • Differentiate the obtained \( f(x, y) \) concerning \( y \) and equate it to \( N(x, y) \) to find and adjust any remaining functions or constants.
In the textbook solution, after obtaining \( f(x, y) \), we determined that the arbitrary function \( g(y) = C \) where \( C \) is a constant. Therefore, the solution was expressed as \( xe^x \sin y - 2e^x \cos y = C \), which completes the process.

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Most popular questions from this chapter

Consider the initial value problem $$ y^{\prime}=y^{2}-t^{2}, \quad y(0)=\alpha $$ where \(\alpha\) is a given number. (a) Draw a direction field for the differential equation. Observe that there is a critical value of \(\alpha\) in the interval \(0 \leq \alpha \leq 1\) that separates converging solutions from diverging ones. Call this critical value \(\alpha_{\theta}\). (b) Use Euler's method with \(h=0.01\) to estimate \(\alpha_{0} .\) Do this by restricting \(\alpha_{0}\) to an interval \([a, b],\) where \(b-a=0.01 .\)

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 \(t=0\). $$ y^{\prime}=-y(3-t y) $$

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.

Determine whether or not each of the equations is exact. If it is exact, find the solution. $$ (y / x+6 x) d x+(\ln x-2) d y=0, \quad x>0 $$

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

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