Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Determine whether or not each of the equations is exact. If it is exact, find the solution. $$ \frac{x d x}{\left(x^{2}+y^{2}\right)^{3 / 2}}+\frac{y d y}{\left(x^{2}+y^{2}\right)^{3 / 2}}=0 $$

Short Answer

Expert verified
The solution to the given exact differential equation is: $$ \frac{1}{(x^2+y^2)\sqrt{(x^2+y^2)}} + C = 0 $$

Step by step solution

01

Determine M and N in the given equation

Identify the terms M(x, y) and N(x, y) in the given equation: $$ \frac{x dx}{(x^2 + y^2)^{3/2}} + \frac{y dy}{(x^2 + y^2)^{3/2}} = 0 $$ So, we have: $$ M(x, y) = \frac{x}{(x^2 + y^2)^{3/2}} \quad \text{and} \quad N(x, y) = \frac{y}{(x^2 + y^2)^{3/2}} $$
02

Test for exactness

To determine if the given equation is exact, check if: $$ \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} $$ Find the partial derivatives with respect to y and x: $$ \frac{\partial M}{\partial y} = \frac{-3x^2y}{(x^2+y^2)^{5/2}} \\ \frac{\partial N}{\partial x} = \frac{-3x^3}{(x^2+y^2)^{5/2}} $$ Simplify and observe that: $$ \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} $$ This means the differential equation is exact.
03

Finding the potential function

Integrate M(x, y) with respect to x and N(x, y) with respect to y: $$ \int M dx = \int \frac{x}{(x^2 + y^2)^{3/2}} dx \\ \int N dy = \int \frac{y}{(x^2 + y^2)^{3/2}} dy $$ The integrals are similar. Using substitution, let: $$ u = x^2 + y^2 \Rightarrow du = 2x dx $$ For M: $$ \int \frac{1}{2u^{3/2}} du = -\frac{1}{u\sqrt{u}} = -\frac{1}{(x^2+y^2)\sqrt{(x^2+y^2)}} $$ And for N, let: $$ v = x^2 + y^2 \Rightarrow dv = 2y dy $$ So, $$ \int \frac{1}{2v^{3/2}} dv = -\frac{1}{v\sqrt{v}} = -\frac{1}{(x^2+y^2)\sqrt{(x^2+y^2)}} $$ Therefore, the potential function F(x, y) is: $$ F(x, y) = -\frac{1}{(x^2+y^2)\sqrt{(x^2+y^2)}} + C $$
04

Determine the solution

The solution to the exact differential equation is: $$ F(x, y) = C \\ -\frac{1}{(x^2+y^2)\sqrt{(x^2+y^2)}} = C $$ Hence, the solution to the differential equation is: $$ \frac{1}{(x^2+y^2)\sqrt{(x^2+y^2)}} + C = 0 $$

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

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

Partial Derivatives
Partial derivatives are fundamental to calculus involving functions of several variables. In an exact differential equation, understanding partial derivatives helps determine the behavior of those functions. Given a function \( f(x, y) \), the partial derivative with respect to \( x \), denoted \( \frac{\partial f}{\partial x} \), measures how the function changes as \( x \) changes, while keeping \( y \) constant. Similarly, the partial derivative with respect to \( y \) is denoted as \( \frac{\partial f}{\partial y} \).
When dealing with exact equations, we check the condition \( \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} \) to determine exactness. This indicates that the mixed partial derivatives are equal, which is crucial for the equation to be exact, leading us to a potential function. The partial derivatives link the components \( M(x, y) \) and \( N(x, y) \), blending these variables in a balanced manner.
Potential Function
The potential function, often a vital goal when working with exact differential equations, represents a function \( F(x, y) \) such that its gradient (or differential) matches the given components. When the differential of this potential function is split into \( dF = Mdx + Ndy \), each component of the equation can be traced back to a derivative of \( F \).
  • For \( M(x, y) \), we have \( \frac{\partial F}{\partial x} = M \).
  • For \( N(x, y) \), \( \frac{\partial F}{\partial y} = N \).
Finding this potential function involves integrating \( M \) with respect to \( x \) and \( N \) with respect to \( y \). It serves as a central piece to solve the differential equation, converting it into a simpler algebraic form.
Integration
Integration is the tool we use to find the potential function in exact differential equations. Here, we need to perform integration over the components \( M \) and \( N \).
For example, consider our previous function \( M(x, y) = \frac{x}{(x^2 + y^2)^{3/2}} \). To integrate this term with respect to \( x \), the variable part affected by the integration is \( x \), while treating \( y \) as a constant.
The process includes:
  • Setting a substitution variable \( u = x^2 + y^2 \), simplifying the expression.
  • Finding the new differential, such as \( du = 2x dx \).
  • Integrating the rewritten expression, like \( \int \frac{1}{2u^{3/2}} du \), resulting in simpler expressions.
Repeating similar steps for \( N \) ensures we develop the function further, combined to form the entire \( F(x, y) \).
Exactness Test
The exactness test is a crucial step to ascertain whether a differential equation is indeed exact. This determines if it's possible to derive a potential function. The test involves calculating partial derivatives of the terms \( M \) and \( N \), and checking the equality:
If \( \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} \), then the equation is exact. This condition tells us that there exists some potential function \( F(x, y) \) in which these partial matches occur naturally. If they are not equal, modifications or other techniques might be necessary to render the equation exact.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

let \(\phi_{0}(t)=0\) and use the method of successive approximations to solve the given initial value problem. (a) Determine \(\phi_{n}(t)\) for an arbitrary value of \(n .\) (b) Plot \(\phi_{n}(t)\) for \(n=1, \ldots, 4\). Observe whether the iterates appear to be converging. $$ y^{\prime}=t^{2} y-t, \quad y(0)=0 $$

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.

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, unstable, or semistable (see Problem 7 ). $$ d y / d t=a y-b \sqrt{y}, \quad a>0, \quad b>0, \quad y_{0} \geq 0 $$

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 \(K / 2\).

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

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free