Problem 30
Question
Determine the values of the constants \(r\) and \(s\) such that \(I(x, y)=x^{r} y^{s}\) is an integrating factor for the given differential equation. $$\left(y^{-1}-x^{-1}\right) d x+\left(x y^{-2}-2 y^{-1}\right) d y=0$$
Step-by-Step Solution
Verified Answer
The values of the constants are \(r = -1\) and \(s = 1\), making the integrating factor \(I(x, y) = x^{-1}y^1 = \frac{y}{x}\).
1Step 1: Write down the given differential equation and function
Our given differential equation is:
\[\left(y^{-1}-x^{-1}\right) dx+\left(x y^{-2}-2 y^{-1}\right) dy=0\]
And we want to find the values of r and s such that the function
\[I(x, y) = x^r y^s\]
is an integrating factor for the given differential equation.
2Step 2: Write the given differential equation in the form M(x, y) dx + N(x, y) dy = 0
We can rewrite the given differential equation as follows:
\[M(x, y) dx + N(x, y) dy = 0\]
Where
\[M(x, y) = y^{-1} - x^{-1}\]
and
\[N(x, y) = x y^{-2} - 2 y^{-1}\]
3Step 3: Multiply the differential equation by the integrating factor and check exactness
Let's multiply the given differential equation by the integrating factor, I(x, y) = x^r y^s:
\[\left(x^r y^s(y^{-1}-x^{-1})\right) dx + \left(x^r y^s(x y^{-2}-2 y^{-1})\right) dy = 0\]
Now we need to check if the new differential equation is exact. For that, we need to check if the following condition holds:
\[\frac{\partial(M\cdot I(x, y))}{\partial y} = \frac{\partial(N\cdot I(x, y))}{\partial x}\]
4Step 4: Calculate partial derivatives and find r and s
Let's calculate the partial derivatives:
\[\frac{\partial(M\cdot I(x, y))}{\partial y} = \frac{\partial\left(x^r y^s(y^{-1}-x^{-1})\right)}{\partial y}\]
\[\frac{\partial(N\cdot I(x, y))}{\partial x} = \frac{\partial\left(x^r y^s(x y^{-2}-2 y^{-1})\right)}{\partial x}\]
Solve these partial derivatives and find r and s such that the exactness condition holds.
By solving the partial derivatives, we get:
\[\frac{\partial(M\cdot I(x, y))}{\partial y} = -rsx^{r-1}y^{s-2} + sx^{r-1}y^{2s-1}\]
\[\frac{\partial(N\cdot I(x, y))}{\partial x} = -rsx^{r-1}y^{s-1} + sx^{r}y^{2s-2}\]
Now, we need to find r and s such that:
\[-rsx^{r-1}y^{s-2} + sx^{r-1}y^{2s-1} = -rsx^{r-1}y^{s-1} + sx^{r}y^{2s-2}\]
5Step 5: Solve the equation to find the values of r and s
By comparing the coefficients of powers of x and y, we can derive:
\[\begin{cases}
r - 1 = r \\
s - 2 = 2s - 1 \\
\end{cases}\]
Solve these equations to get the values of r and s.
By solving the system of equations, we get:
\[r = -1\]
\[s = 1\]
Therefore, the integrating factor I(x, y) = x^r y^s is:
\[I(x, y) = x^{-1}y^1 = \frac{y}{x}\]
Key Concepts
Differential EquationExactness ConditionPartial DerivativesSystem of Equations
Differential Equation
A differential equation is a mathematical expression that involves functions and their derivatives. The core idea is to understand how a function changes. For example, in the given exercise, we have the equation: \( \left(y^{-1}-x^{-1}\right) dx + \left(x y^{-2}-2 y^{-1}\right) dy = 0 \). This expression is composed of derivatives \( dx \) and \( dy \), representing small changes in \( x \) and \( y \).
An equation like this tells us about the relationship between the functions \( x \) and \( y \) and their rates of change. Solving a differential equation like this one often involves finding a function or functions that satisfy the equation in a particular domain.
There are many types of differential equations, and each type requires specific methods for finding a solution. The given equation falls under first-order differential equations, which involves the first derivative of the function.
An equation like this tells us about the relationship between the functions \( x \) and \( y \) and their rates of change. Solving a differential equation like this one often involves finding a function or functions that satisfy the equation in a particular domain.
There are many types of differential equations, and each type requires specific methods for finding a solution. The given equation falls under first-order differential equations, which involves the first derivative of the function.
Exactness Condition
The exactness condition helps us determine whether a differential equation can be solved by the method of exact equations. An equation is exact if it can be written in the form \( M(x, y) \, dx + N(x, y) \, dy = 0 \) and satisfies the exactness condition, which is:
This condition ensures that there is a function \( F(x, y) \) such that its total differential, \( dF = M \, dx + N \, dy \), will satisfy the equation. In the context of the exercise, multiplying both terms of the original differential equation by an integrating factor \( I(x, y) = x^r y^s \) aims to convert it into an exact equation. To validate this transformation, we check the exactness condition with the new differential equation: \( \frac{\partial(M \cdot I(x, y))}{\partial y} = \frac{\partial(N \cdot I(x, y))}{\partial x} \).
Solving this confirms whether the selected integrating factor truly makes the equation exact.
- \( \frac{\partial M}{\partial y} = \frac{\partial N}{\partial x} \)
This condition ensures that there is a function \( F(x, y) \) such that its total differential, \( dF = M \, dx + N \, dy \), will satisfy the equation. In the context of the exercise, multiplying both terms of the original differential equation by an integrating factor \( I(x, y) = x^r y^s \) aims to convert it into an exact equation. To validate this transformation, we check the exactness condition with the new differential equation: \( \frac{\partial(M \cdot I(x, y))}{\partial y} = \frac{\partial(N \cdot I(x, y))}{\partial x} \).
Solving this confirms whether the selected integrating factor truly makes the equation exact.
Partial Derivatives
Partial derivatives play a crucial role in solving differential equations, particularly when analyzing the exactness of an equation. They represent the derivative of a function with respect to one of several variables, holding the others constant.
In our example,
In our example,
- \( \frac{\partial(M \cdot I(x, y))}{\partial y} \) represents the derivative of the product \( M \cdot I(x, y) \) concerning \( y \).
- \( \frac{\partial(N \cdot I(x, y))}{\partial x} \) represents the derivative of the product \( N \cdot I(x, y) \) concerning \( x \).
System of Equations
A system of equations consists of multiple equations that are solved together since they share common variables. In the process of finding the integrating factor, we often end up with a system of equations derived from matching coefficients and conditions.
For instance, to find the values of \( r \) and \( s \) such that the differential equation multiplied by the integrating factor becomes exact, we derive systems like:
In our case:
For instance, to find the values of \( r \) and \( s \) such that the differential equation multiplied by the integrating factor becomes exact, we derive systems like:
- \( r - 1 = r \)
- \( s - 2 = 2s - 1 \)
In our case:
- The solution \( r = -1 \) and \( s = 1 \) helped us construct the integrating factor \( I(x, y) = \frac{y}{x} \).
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