Eigenfunction: Find Eigenvalue & Function

In summary, the equation has an eigenvalue and eigenfunction. The eigenvalue is k and the eigenfunction is y(t).
  • #1
samleemc
9
0
[urgent] Eigenfunction again!

Find the eigenvalue and eigenfunction of the following
[tex]\int[/tex]cos(2X)+cox(2t)y(t) dt = ky , k=eigenvalue , intergrate from 0 to Pi


thx, urgent

this is the original question
a.jpg
 
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  • #2


Your equation makes no sense[tex]\int_{0}^{\pi} cos(2t)y(t)dt[/tex]

Is a number, yet you compare it to a function ( y(t)).

Also

[tex]\int_{0}^{\pi} cos(2x)y(t)dt[/tex]

is an expression of x, and again you compare it to an expression of t ( ky(t))

Are you sure you wrote it correctly?
 
  • #3


elibj123 said:
Your equation makes no sense


[tex]\int_{0}^{\pi} cos(2t)y(t)dt[/tex]

Is a number, yet you compare it to a function ( y(t)).

Also

[tex]\int_{0}^{\pi} cos(2x)y(t)dt[/tex]

is an expression of x, and again you compare it to an expression of t ( ky(t))

Are you sure you wrote it correctly?

I have uploaded the original version of question, please check!
 
  • #4


Can anyone please help !?
 
  • #5


What is found in your attachment is
[tex]\int_0^\pi (cos(2x)+ cos(2t))y(t)dt= ky(x)[/tex]
not quite what you originally wrote.

We can write that as
[tex]cos(2x)\int_0^\pi y(t)dt+ \int_0^\pi cos(2t)y(t)dt= ky(x)[/tex]

As elibj123 pointed out, both of those integrals are NUMBERS that, of course, depend on y(x).

Let [tex]Y_1= \int_0^\pi y(t)dt[/tex]
and [tex]Y_2= \int_0^\pi cos(2t)y(t)[/tex].

Now the equation reads simply [itex]ky(t)= Y_1 cos(2x)+ Y_2[/itex] and we can solve for y(t) just by finding the two numbers [itex]Y_1[/itex] and [itex]Y_2[/itex].

Multiply both sides of [itex]ky(x)= Y_1 cos(2x)+ Y_2[/itex] by cos(2x) and integrate from 0 to [itex]\pi[/itex]:
[tex]k\int_0^\pi cos(2x)y(x)dx= Y_1 \int_0^\pi cos^2(2x) dx+ Y_2\int_0^\pi cos(2x)dx[/tex]

Of course, [itex]\int_0^\pi cos(2x)y(x)dx[/itex] is the same as [itex]\int_0^\pi cos(2t)y(t)dt[/itex] which we have called [itex]Y_2[/itex]. The other two integrals do not involve y(x) and so can be integrated. Rather than do them for you I am going to write [itex]\int_0^\pi cos^2(2x)dx= A[/itex] and [itex]\int_0^\pi cos(2x)= B[/itex] (although that second one ought to be obvious!).

Now, our equation is [itex]kY_2= AY_1+ BY_2[/itex] or [itex]AY_1+ (B- k)Y_2= 0[/itex].

If we simply integrate [itex]ky(x)= Y_1 cos(2x)+ Y_2[/itex] itself from 0 to [itex]\pi[/itex] we get
[tex]k\int_0^\pi y(x)dx= Y_1 \int_0^\pi cos(2x)dx+ Y_2\int_0^\pi dx= BY_1+ \pi Y_2[/tex]
That is the same as [itex]kY_1= BY_1+ \pi Y_2[/itex] or [itex](B-k)Y_1+ \pi Y_2[/itex].

That is, we can solve for y(x) by solving the pair of numerical equations
[itex](B- k)Y_1+ \pi Y_2= 0[/itex] and [itex]AY_1+ (B- k)Y_2= 0[/itex]
where A and B are given by the integrals above.

Of course, like any eigenvalue equation, those are satified by the "trivial" solution [itex]Y_1= Y_2= 0[/itex]. Eigenvalues are values of k for which there exist non-trivial solutions. Non-trivial solutions for homogeneous systems of equations occur when the determinant of the coefficient matrix, here [itex](B- k)^2- A\pi[/itex], is 0.
 
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Related to Eigenfunction: Find Eigenvalue & Function

1. What is an eigenfunction?

An eigenfunction is a special type of function that, when operated on by a linear operator, produces a scalar multiple of itself. In other words, the function remains unchanged except for a constant factor, known as the eigenvalue.

2. What is an eigenvalue?

An eigenvalue is a scalar value that represents the scaling factor of an eigenfunction when operated on by a linear operator. It is a crucial component in the eigenfunction-eigenvalue relationship and is often used in various mathematical and scientific applications.

3. How do you find eigenvalues and eigenfunctions?

To find eigenvalues and eigenfunctions, you must first set up and solve an eigenvalue problem. This involves finding the characteristic equation of a given linear operator and then solving for the eigenvalues. Once the eigenvalues are known, the corresponding eigenfunctions can be found by solving the associated eigenfunction equation.

4. Why are eigenfunctions and eigenvalues important?

Eigenfunctions and eigenvalues are important because they allow us to break down complex functions into simpler components, making it easier to analyze and understand them. They also have many practical applications in fields such as physics, engineering, and computer science.

5. Can there be multiple eigenvalues and eigenfunctions for a single linear operator?

Yes, it is possible for a single linear operator to have multiple eigenvalues and eigenfunctions. This is because different functions can share the same eigenvalue, and a function can have multiple eigenvalues. However, each eigenvalue will have a unique corresponding eigenfunction.

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