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Determine whether or not each of the equations is exact. If it is exact, find the solution. $$ \left(2 x y^{2}+2 y\right)+\left(2 x^{2} y+2 x\right) y^{\prime}=0 $$

Short Answer

Expert verified
Question: Determine if the given equation is exact, and if so, find the solution. Given Equation: $$ \left(2 x y^{2}+2 y\right)+\left(2 x^{2} y+2 x\right) y^{\prime}=0 $$ Answer: The given equation is exact, and its general solution is: $$ x^2y^2 + 2xy = C $$

Step by step solution

01

Calculate partial derivatives

Calculate \(\frac{\partial M}{\partial y}\) and \(\frac{\partial N}{\partial x}\) for the given equation: $$ M(x, y) = 2xy^2 + 2y,\quad N(x, y) = 2x^2y + 2x $$ Calculate \(\frac{\partial M}{\partial y}\): $$ \frac{\partial}{\partial y}(2xy^2 + 2y) = 4xy + 2 $$ Calculate \(\frac{\partial N}{\partial x}\): $$ \frac{\partial}{\partial x}(2x^2y + 2x) = 4xy + 2 $$
02

Determine if the equation is exact

As per the condition, if \(\frac{\partial M}{\partial y} = \frac{\partial N}{\partial x}\), then the equation is exact. We can see that: $$ \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} = 4xy + 2 $$ Since the condition is satisfied, the given equation is exact.
03

Find the solution

To find the solution, we will integrate \(M(x, y)\) with respect to \(x\) and \(N(x, y)\) with respect to \(y\). Then, we will add a constant function for both integrations and compare them. $$ \int M dx = \int (2xy^2 + 2y) dx = x^2y^2 + 2xy + h(y) $$ $$ \int N dy = \int (2x^2y + 2x) dy = x^2y^2 + 2xy + g(x) $$ By comparing the two integrals, we can see that \(h(y)\) and \(g(x)\) are constants. Thus, the general solution of the given exact equation is: $$ x^2y^2 + 2xy = C $$

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Key Concepts

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

Partial Derivatives
In the context of exact differential equations, partial derivatives play a crucial role. They involve the differentiation of a function with respect to one variable while holding the other variables constant. For example, for the function \(M(x, y) = 2xy^2 + 2y\), finding the partial derivative with respect to \(y\) involves treating \(x\) as a constant. This gives \(\frac{\partial M}{\partial y} = 4xy + 2\). Similarly, for \(N(x, y) = 2x^2y + 2x\), the partial derivative with respect to \(x\) is \(\frac{\partial N}{\partial x} = 4xy + 2\).

Understanding these derivatives helps us to determine the exactness of a differential equation. If the condition \(\frac{\partial M}{\partial y} = \frac{\partial N}{\partial x}\) is satisfied, the equation is exact. In simple terms, matching partial derivatives indicates that the equation can potentially represent a gradient field, meaning an exact solution exists. This determination lays the foundation for solving the equation effectively.

Partial derivatives are a stepping stone for exploring multivariable calculus, offering insight into how functions change around a certain point and how these changes relate to solving complex equations.
Integration of Functions
Once we establish that a differential equation is exact, the next step involves integrating the functions. This means finding the antiderivative or the original function whose derivative would give us the function we're integrating. In our problem, we integrate \(M(x, y)\) with respect to \(x\) and \(N(x, y)\) with respect to \(y\).

Integrating \(M(x, y) = 2xy^2 + 2y\) with respect to \(x\) gives us \(\int M \, dx = x^2y^2 + 2xy + h(y)\). Similarly, integrating \(N(x, y) = 2x^2y + 2x\) with respect to \(y\) results in \(\int N \, dy = x^2y^2 + 2xy + g(x)\). These expressions involve adding arbitrary functions \(h(y)\) or \(g(x)\), representing constants that might come from integration.

Integrals provide a "smoothing out" process, where instead of focusing on the rate of change (as derivatives do), we look at cumulative effects, or the total amounts. Understanding integration helps us construct solutions for exact differential equations, where we equate integrals and adjust these constant terms to find a consistent representation of the solution.
Differential Equation Solutions
Solving exact differential equations relies on both partial derivatives and integration to piece together a coherent solution. After confirming the exactness of an equation, the ultimate goal is to find a solution that satisfies this specific arrangement. Generally, the solution is a relationship involving the variables, expressed as a constant value.

In our example, integration results in the expressions \(x^2y^2 + 2xy + h(y)\) and \(x^2y^2 + 2xy + g(x)\). By comparing these, we realize \(h(y)\) and \(g(x)\) must be constants for the expressions to match. Thus, our solution simplifies to \(x^2y^2 + 2xy = C\), where \(C\) is a constant that might depend on initial conditions or constraints imposed on the problem.

This final equation forms a family of curves where each curve satisfies the original differential equation. Understanding how to derive this through checking exactness with partial derivatives and resolving through integration forms the basis for solving more complex systems involving differential equations. This process underscores the interconnectedness of calculus concepts, demonstrating their practical utility in addressing real-world problems.

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Most popular questions from this chapter

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

Find the value of \(b\) for which the given equation is exact and then solve it using that value of \(b\). $$ \left(y e^{2 x y}+x\right) d x+b x e^{2 x y} d y=0 $$

In each of Problems I through 6 determine (without solving the problem) an interval in which the solution of the given initial value problem is certain to exist. $$ (\ln t) y^{\prime}+y=\cot t, \quad y(2)=3 $$

(a) Show that \(\phi(t)=e^{2 t}\) is a solution of \(y^{\prime}-2 y^{\prime}-2 y=0\) and that \(y=c \phi(t)\) is also a solution of this equatio for any value of the conntanct \(y^{2}=0\) for \(t>0\), but that \(y=c \phi(t)\) is (b) Show that \(\phi(t)=1 / t\) is a solution of \(y^{\prime}+y^{2}=0\) for \(t>0\), but that \(y=c \phi(t)\) is not solution of this equation anless \(c=0\) or \(c=1 .\) Note that the equation of part (b) is nonlinear, while that of part (a) is linear.

Harvesting a Renewable Resource. Suppose that the population \(y\) of a certain species of fish (for example, tuna or halibut) in a given area of the ocean is described by the logistic equation $$ d y / d t=r(1-y / K) y . $$ While it is desirable to utilize this source of food, it is intuitively clear that if too many fish are caught, then the fish population may be reduced below a useful level, and possibly even driven to extinction. Problems 20 and 21 explore some of the questions involved in formulating a rational strategy for managing the fishery. In this problem we assume that fish are caught at a constant rate \(h\) independent of the size of the fish population. Then \(y\) satisfies $$ d y / d t=r(1-y / K) y-h $$ The assumption of a constant catch rate \(h\) may be reasonable when \(y\) is large, but becomes less so when \(y\) is small. (a) If \(hy_{0}>y_{1},\) then \(y \rightarrow y_{2}\) as \(t \rightarrow \infty,\) but that if \(y_{0}r K / 4,\) show that \(y\) decreases to zero as \(l\) increases regardless of the value of \(y_{0}\). (c) If \(h=r K / 4\), show that there is a single cquilibrium point \(y=K / 2\) and that this point is semistable (see Problem 7 ). Thus the maximum sustainable yield is \(h_{m}=r K / 4\) corresponding to the equilibrium value \(y=K / 2 .\) Observe that \(h_{m}\) has the same value as \(Y_{m}\) in Problem \(20(\mathrm{d})\). The fishery is considered to be overexploited if \(y\) is reduced to a level below \(K / 2\).

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