Second order homogenous with variable coeffecients

In summary, when dealing with linear second order differential equations with variable coefficients, the general method is to specify the form of the coefficients and try to match it to an equation with known solutions. This may involve substitutions or using direct integration. However, if the coefficients depend on time, it becomes more difficult to find a closed form solution. Series solutions and the method of Frobenius may be used, but they often result in infinite series solutions with no closed form. Some equations, such as Euler type equations, may have explicit and finite solutions.
  • #1
Terilien
140
0
In general how do we deal with linear second order differential equations with variable coeffecients?
 
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  • #2
In general, you can't. You have to specify the form of those coefficients and hope to match it to an equation for which there is a known solution, probably involving a substitution or two along the way. (Unless it lends itself to direct integration, or something.)

Which equation are you concerned with?
 
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  • #3
why can't you just plug in in e^rt like you do with the constant coefficient ones and just let r be variable(guessing)? For example when you plug e^rt into the homogenous equation you can find r by solving a quadratic equation involving the coffecient. You need to solve for r. however since in this case the coeeficients depend on time, can't we just have variable solutions (r). note that I haven't thought about this much.

I was just curious as the notes I found didn't discuss them much.
 
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  • #4
Let's say your equation is

[tex]y^{\prime \prime} + \alpha(t) y^{\prime} + \beta(t) y = 0[/tex]

where alpha and beta are arbitrary functions. Now, try your method of subbing

[tex]y(t) = e^{r(t)} [/tex]

bung this into the first equation, and you get

[tex]r^{\prime \prime} e^{r(t)} + r^{\prime 2} e^{r(t)} + \alpha(t) r^{\prime} e^{r(t)} + \beta(t) e^{r(t)} = 0[/tex]

Now, divide out the expoenents, and your equation becomes

[tex]r^{\prime \prime} + r^{\prime 2}+\alpha(t) r^{\prime} +\beta(t) =0[/tex]

So, you now have a different equation, but, more than likely it's not one which is any easier to solve-- unless you get lucky.

Note however, this new one is effectively a first order equation -- i.e. by letting [tex]q(t) =r^{\prime}(t)[/tex].
 
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  • #5
Err... if you want ot find out what kind of second-order equations are soluble, you can look here. They also have some solutions of PDEs on other pages.
 
  • #6
Typically, series solutions are used for linear differential equations with variable coefficients.
 
  • #7
decomposition in series...

Is general recipe ,but sometimes such eqs can be solved explicitely and in finite ,closed form.
It depends on [itex]\alpha(t),\beta(t)[/itex] functions coefficients involved.
 
  • #8
The brute force method, usually a method of last resort is the method of frobenius. The problem is you'll generate infinite series solutions which rarely have a closed form. The method is necessary for laplaces equation in cylindrical and spherical coordinates.
 
  • #9
tehno said:
Is general recipe ,but sometimes such eqs can be solved explicitely and in finite ,closed form.
It depends on [itex]\alpha(t),\beta(t)[/itex] functions coefficients involved.
Yes, particularly "Euler type" or "equi-potential" equations.

Elvex said:
The brute force method, usually a method of last resort is the method of frobenius. The problem is you'll generate infinite series solutions which rarely have a closed form. The method is necessary for laplaces equation in cylindrical and spherical coordinates.
Strictly speaking, "Frobenius" method only applies to series expansion about regular singular points, not general series expansions.
 
  • #10
There is the y(x)=u(x)*v(x)...
solve for v(x), and end up with something like this u'' +(something)u=0
if your lucky enough it's an easy equation...
Edit:If the Diff Eq was this: y'' +a(x)y'+b(x)y=0
then replacing y=v(x)*u(x)
we have this :u''*v+u'(2v'+a(x)v)+u(v"+a(x)v'+b(x)v)=0
Take (2v'+a(x)v)=0 solve for v , then replace in the Eq above.
Then this is what I meant if you were lucky (v"+a(x)v'+b(x)v) should simplify into something related to v in order to solve...
 
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FAQ: Second order homogenous with variable coeffecients

What is a second order homogenous equation with variable coefficients?

A second order homogenous equation with variable coefficients is a type of differential equation where the highest derivative term has a coefficient that is a function of the independent variable. It can be written in the form of y'' + p(x)y' + q(x)y = 0, where p(x) and q(x) are functions of x.

How is this type of equation different from a second order homogenous equation with constant coefficients?

A second order homogenous equation with constant coefficients has the same coefficients for all terms, while a second order homogenous equation with variable coefficients has coefficients that vary with the independent variable. This means that the solution for the latter is not a simple exponential function, but may involve more complex functions.

What are some examples of real-world applications of second order homogenous equations with variable coefficients?

These types of equations are commonly used in physics to model the behavior of systems with varying parameters, such as a damped harmonic oscillator or a vibrating string with varying tension. They are also used in engineering to study the behavior of complex systems such as electrical circuits or structural beams.

How do you solve a second order homogenous equation with variable coefficients?

The general method for solving these equations involves finding a particular solution using a method such as variation of parameters or undetermined coefficients, and then finding the complementary solution using the characteristic equation. The final solution is a linear combination of the particular and complementary solutions.

Are there any special techniques for solving particularly difficult second order homogenous equations with variable coefficients?

Yes, there are several advanced techniques that can be used to solve more complex second order homogenous equations with variable coefficients. These include the Laplace transform, the method of Frobenius, and the Wronskian method. These techniques are particularly useful when the coefficients are very complicated or when the equation is non-linear.

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