Solving DE using Frobenius series method

In summary, to solve the differential equation xy' = y using the Frobenius method, one must first assume that y(x) is analytic in x0. The solution can then be obtained by computing the derivatives of y(x) and setting them equal to the given initial condition, resulting in a linear function y = (y0/x0)x.
  • #1
ssh
17
0
Solve xy'= y using frobenius method

The explanation given in the book is very confusing can somebody explain in simple method.

Thanks
 
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  • #2
ssh said:
Solve xy'= y using frobenius method

The explanation given in the book is very confusing can somebody explain in simple method.

Thanks

Suppose that the initial condition $\displaystyle y(x_{0})= y_{0}$ is given and that $y(x)$ is analytic in $x_{0}$ so that is...

$\displaystyle y(x)= \sum_{ n=0}^{\infty} \frac{y^{(n)} (x_{0})}{n!}\ (x-x_{0})^{n}$ (1)

The $\displaystyle y^{(n)} (x_{0})$ are computed as follows...

$\displaystyle y^{(1)} = \frac {y}{x} \implies y^{(1)}(x_{0}) = \frac{y_{0}}{x_{0}}$

$\displaystyle y^{(2)} = \frac{y^{(1)}}{x}- \frac{y}{x^{2}} \implies y^{(2)}(x_{0}) = \frac{y_{0}}{x_{0}^{2}} - \frac{y_{0}}{x_{0}^{2}}=0$

$\displaystyle y^{(3)} = -2\ \frac{y^{(1)}}{x^{3}} + 2\ \frac{y}{x^{3}} \implies y^{(3)}(x_{0}) = -2\ \frac{y_{0}}{x_{0}^{3}} + 2\ \frac{y_{0}}{x_{0}^{3}}=0$

... and so one. The solution is the linear funcion $\displaystyle y = \frac{y_{0}}{x_{0}}\ x$ ...

$\chi$ $\sigma$
 
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  • #3
chisigma said:
Suppose that the initial condition $\displaystyle y(x_{0})= y_{0}$ is given and that $y(x)$ is analytic in $x_{0}$ so that is...

$\displaystyle y(x)= \sum_{ n=0}^{\infty} \frac{y^{(n)} (x_{0})}{n!}\ (x-x_{0})^{n}$ (1)

The $\displaystyle y^{(n)} (x_{0})$ are computed as follows...

$\displaystyle y^{(1)} = \frac {y}{x} \implies y^{(1)}(x_{0}) = \frac{y_{0}}{x_{0}}$

$\displaystyle y^{(2)} = \frac{y^{(1)}}{x}- \frac{y}{x^{2}} \implies y^{(2)}(x_{0}) = \frac{y_{0}}{x_{0}^{2}} - \frac{y_{0}}{x_{0}^{2}}=0$

$\displaystyle y^{(3)} = -2\ \frac{y^{(1)}}{x^{3}} + 2\ \frac{y}{x^{3}} \implies y^{(3)}(x_{0}) = -2\ \frac{y_{0}}{x_{0}^{3}} + 2\ \frac{y_{0}}{x_{0}^{3}}=0$

... and so one. The solution is the linear funcion $\displaystyle y = \frac{y_{0}}{x_{0}}\ x$ ...

$\chi$ $\sigma$

can you explain to me the first line?
 
  • #4
dansingh said:
can you explain to me the first line?

Of course the first order DE...

$\displaystyle y^{\ '} = \frac{y}{x},\ y(x_{0}) = y_{0}\ (1)$... can be solved separain the variables and its soltion is $\displaystyle y=c\ x$...if Youy want to use the Frobenious method however, You must hypotize that $y(x)$ is analitic in $x_{0}$...Kind regards

$\chi$ $\sigma$
 
Last edited:
  • #5
what is y(x) analytic in x0
 

1. What is the Frobenius series method?

The Frobenius series method is a technique used to find solutions to differential equations with variable coefficients. It involves expressing the solution as a power series and solving for the coefficients.

2. When is the Frobenius series method used?

The Frobenius series method is typically used when the differential equation cannot be solved using other methods such as separation of variables or substitution.

3. What is the process of using the Frobenius series method?

The process of using the Frobenius series method involves substituting the power series into the differential equation, solving for the coefficients using recurrence relations, and then using the initial conditions to determine the specific solution.

4. What are the advantages of using the Frobenius series method?

The Frobenius series method can be used to find solutions to a wide range of differential equations, including those with variable coefficients or singular points. It also allows for the determination of both convergent and divergent solutions.

5. What are the limitations of using the Frobenius series method?

The Frobenius series method may not always provide a closed-form solution and can be time-consuming when solving for the coefficients. It also requires the initial conditions to be known in order to determine a specific solution.

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