Solve Partial Derivatives for Exact Diff Eq

In summary, the differential equation is exact, but will need to be simplified to see if they are the same.
  • #1
KillerZ
116
0

Homework Statement



Determine if the following differential equation is exact. If it is exact solve it.

Homework Equations



[tex]\left(\frac{1}{t} + \frac{1}{t^{2}} - \frac{y}{t^{2} + y^{2}}\right)dt + \left(ye^{y} + \frac{t}{t^{2} + y^{2}}\right)dy = 0[/tex]

The Attempt at a Solution



I am a little rusty on my partial derivatives I am not sure if this is right.

[tex]M(t, y) = \frac{1}{t} + \frac{1}{t^{2}} - \frac{y}{t^{2} + y^{2}}[/tex]

[tex]N(t, y) = ye^{y} + \frac{t}{t^{2} + y^{2}}[/tex]

[tex]\frac{\partial M}{\partial y} = -y[-(t^{2} + y^{2})^{-2}(2y)] - (t^{2} + y^{2})^{-1}[/tex]

[tex]\frac{\partial N}{\partial t} = t[-(t^{2} + y^{2})^{-2}(2t)] + (t^{2} + y^{2})^{-1}[/tex]
 
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  • #2
Looks good so far. You'll have to do some simplifying to see if they are the same. Put them over a common denominator.
 
  • #3
[tex]-y[-(t^{2} + y^{2})^{-2}(2y)] - (t^{2} + y^{2})^{-1} = t[-(t^{2} + y^{2})^{-2}(2t)] + (t^{2} + y^{2})^{-1}[/tex]

[tex]-y\left[-\frac{2y}{(t^{2} + y^{2})^{2}}\right] - \frac{1}{t^{2} + y^{2}} = t\left[-\frac{2t}{(t^{2} + y^{2})^{2}}\right] + \frac{1}{t^{2} + y^{2}}[/tex]

[tex]\frac{2y^{2}}{(t^{2} + y^{2})^{2}} + \frac{2t^{2}}{(t^{2} + y^{2})^{2}} = \frac{1}{t^{2} + y^{2}} + \frac{1}{t^{2} + y^{2}}[/tex]

[tex]\frac{2y^{2} + 2t^{2}}{(t^{2} + y^{2})^{2}} = \frac{2}{t^{2} + y^{2}}[/tex]

[tex]\frac{2y^{2} + 2t^{2}}{t^{2} + y^{2}} = 2[/tex]

[tex]2y^{2} + 2t^{2} = 2y^{2} + 2t^{2}[/tex] They are exact.
 
Last edited:
  • #4
To finish it:

[tex]\frac{\partial f}{\partial t} = \frac{1}{t} + \frac{1}{t^{2}} - \frac{y}{t^{2} + y^{2}}[/tex]

[tex]\frac{\partial f}{\partial y} = ye^{y} + \frac{t}{t^{2} + y^{2}}[/tex]

[tex]f(t,y) = \int\left(\frac{1}{t} + \frac{1}{t^{2}} - \frac{y}{t^{2} + y^{2}}\right)dt + \Phi(y)[/tex]

[tex]f(t,y) = ln|t| - \frac{1}{t} - tan^{-1}\left(\frac{t}{y}\right) + \Phi(y)[/tex]

[tex]\frac{\partial f}{\partial y} = 0 - 0 + \frac{t}{y^{2} + t^{2}} + \frac{d\Phi}{dy} = ye^{y} + \frac{t}{t^{2} + y^{2}}[/tex]

[tex]\frac{d\Phi}{dy} = ye^{y}[/tex]

[tex]\Phi = \int\left(ye^{y}\right)dy + c[/tex]

[tex]\Phi = ye^{y} - e^{y} + c[/tex]

[tex]f(t,y) = ln|t| - \frac{1}{t} - tan^{-1}\left(\frac{t}{y}\right) + ye^{y} - e^{y} + c[/tex]
 
  • #5
Sure. Well done!
 
  • #6
Thanks for the help.
 

Related to Solve Partial Derivatives for Exact Diff Eq

1. What is the purpose of solving partial derivatives for exact differential equations?

The purpose of solving partial derivatives for exact differential equations is to find a solution that satisfies the given set of differential equations. This allows us to determine the relationship between the variables involved and predict how changes in one variable will affect the others.

2. How do you solve partial derivatives for exact differential equations?

To solve partial derivatives for exact differential equations, we use a method called the method of exact differentials. This involves taking the partial derivatives of the given equations, equating them, and then integrating both sides to obtain the solution.

3. What are the key concepts involved in solving partial derivatives for exact differential equations?

The key concepts involved in solving partial derivatives for exact differential equations include partial differentiation, the method of exact differentials, and the use of integrating factors. It is also important to understand the properties of exact differential equations, such as being closed and conservative.

4. Can you provide an example of solving partial derivatives for an exact differential equation?

Sure, let's say we have the equation M(x,y)dx + N(x,y)dy = 0. To solve for an exact differential equation, we take the partial derivatives of both M and N with respect to x and y, respectively. If we find that My = Nx, then we know that the equation is exact. From there, we can use the method of exact differentials to find the solution.

5. What are some common applications of solving partial derivatives for exact differential equations?

Solving partial derivatives for exact differential equations has many practical applications in fields such as physics, engineering, and economics. For example, in physics, it can be used to model the behavior of complex systems such as fluid flow or heat transfer. In engineering, it can be used to optimize designs and predict the behavior of materials. In economics, it can be used to model supply and demand relationships and predict market trends.

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