Diff EQ reduction of Order problem

In summary, the conversation discusses finding a second solution to a given differential equation using the method of reduction of order. The attempt at a solution involves finding a function u(t) that satisfies the differential equation and using it to find the general solution. The book's solution is the same as the one obtained by the speaker, but written in a different form.
  • #1
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Homework Statement


One solution y1(t) of the differential equation is given
a) Use the method of reductions of order to obtain a second solution y2(t)

b) Compute the wronskian formed by y1(t) and y2(t)


Homework Equations



(t + 1)^2y'' - 4(t+1)y' + 6y = 0

y1(t) = (t+1)^2

The Attempt at a Solution



i assume that the second solutions is y1(t)*u(t) where u(t) is some function of t that statisfies the diff eq

y2(t) = y1(t)*u(t) = (t+1)^2*u(t)

y2(t)' = 2(t+1)*u(t) + (t+1)^2*u(t)'

y2(t)'' = 2u(t) + 2(t+1)*u(t)' + 2(t+1)*u(t)' + (t+1)^2*u(t)''
or
y2(t)'' = 2u(t) + 4(t+1)*u(t)' + (t+1)^2*u(t)''

I plug these into the eqaution and reduce and I wind up with

(t+1)^4*u(t)'' = 0

I do a reduction of order through v(t) = u(t)' and v(t)' = u(t)''

and the equations becomes (t+1)^4*v(t)' = 0

Here is where I may be going wrong, I divide the (t+1)^4 and just have
v(t)' = 0 which then becomes u(t) = C1t + C2

so y2(t) = y1(t)* C1t + C2]
or
y2(t) = C1*y1(t)*t + C2y1(t)

C1 can be folded into complimentary solution constant, so I assign 1 to that. C2 can be zero since its a multiple of the first solution.

My problem is the answer is wrong. The book has (t+1)^3, I checked both y1 and the books answer and they both work. So I am lost as to what I did wrong. I showed it to a couple of post docs and they got the answer I got. Any help is much appreciated.
 
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  • #2
Everybody is correct. The book writes the general answer as D1*(t+1)^2+D2*(t+1)^3. That's the same as (t+1)^2*(D1+D2+D2*t). If you pick C1=D1+D2 and C2=D2, that's exactly your answer. They are both the same set of functions. There are many different choices for the 'other linearly independent function' y2. E.g. they also could have written y2=t*(t+1)^2.
 

FAQ: Diff EQ reduction of Order problem

What is a "diff EQ reduction of order problem"?

A differential equation (diff EQ) reduction of order problem is a mathematical problem that involves simplifying a higher-order differential equation to a lower-order one by introducing a new variable and using substitution and integration techniques.

Why do we need to solve diff EQ reduction of order problems?

Solving diff EQ reduction of order problems allows us to find solutions to more complicated differential equations that may not have a direct method of solution. It also helps us to better understand the behavior of the system described by the differential equation.

What are the steps for solving a diff EQ reduction of order problem?

The steps for solving a diff EQ reduction of order problem are:

  1. Identify the highest derivative in the differential equation.
  2. Introduce a new variable, such as u, and substitute it for the highest derivative.
  3. Differentiate the new equation to eliminate the highest derivative.
  4. Solve the resulting first-order differential equation for the new variable, u.
  5. Integrate the solution to find the original solution in terms of the original variable.

What are some common techniques used to solve diff EQ reduction of order problems?

Some common techniques used to solve diff EQ reduction of order problems include substitution, integration, separation of variables, and partial fractions. These techniques can help to simplify the equation and make it easier to solve.

Can diff EQ reduction of order problems be applied to real-world situations?

Yes, diff EQ reduction of order problems can be applied to various real-world situations, such as modeling population growth, predicting the spread of diseases, and analyzing the motion of objects under the influence of forces. Many physical, biological, and social systems can be described using differential equations, and solving reduction of order problems allows us to better understand and predict their behavior.

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