Definition of the eigenfunction?

In summary, the eigenvalues of a problem with boundary conditions are the values of the variable that produce the nontrivial solutions. The trivial solution is not an eigenvalue. If the equation has a negative lambda, then the problem can be simplified by replacing lambda with -\alpha^2. The eigenvalues of a problem with boundary conditions are the values of the variable that produce the nontrivial solutions. The trivial solution is not an eigenvalue if the equation has a positive lambda.
  • #1
thepioneerm
33
0
Please:

I need another Definition of the eigenfunction

and the book the include this Definition

I found in SCHAUM’S DIFFERENTIAL EQUATIONS that:

Those values of Lamda for which nontrivial solutions do
exist are called eigenvalues; the corresponding
nontrivial solutions are called eigenfunctions.
 
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  • #2
Well, that's pretty much the definition you will find in any book. I don't know exactly what your question is. Perhaps some examples would help.

The problem [itex]d^2y/dx^2+ \lambda y= 0[/itex] with boundary conditions y(0)= 0, y(1)= 0 has the "trivial solution" y(x)= 0 for all x. Does it have any other, "non-trivial", solutions?

The way we write the general solution depends on [itex]\lambda[/itex]. If, for example, [itex]\lambda= 0[/itex], the equation is [itex]d^2y/dx^2= 0[/itex] and integrating twice,[itex]y= C_1x+ C_2[/itex]. Then [itex]y(0)= C_2= 0[/itex] and [itex]y(1)= C_1+ C_2= C_1= 0[/itex] so both constants are 0 and y(x)= 0 for all x, the trivial solution. 0 is NOT an eigevalue.

If [itex]\lambda[/itex] is negative then we can simplify the problem by writing [itex]\lambda= -\alpha^2[/itex] where [itex]\alpha[/itex] is any non-zero number. The equation becomes [itex]d^2y/dx^2- \alpha^2 y= 0[/itex]. That has characteristic equation [itex]r^2- \alpha= 0[/itex] which has roots [itex]r= \alpha[/itex] and [itex]r= -\alpha[/itex] so the general solution is [itex]y(x)= C_1e^{\alpha x}+ C_2e^{-\alpha x}[/itex] so [itex]y(0)= C_1+ C_2= 0[/itex] and [itex]y(1)= C_1e^{\alpha}+ C_2e^{-alpha}= 0[/itex]. From the first equation, [itex]C_2= -C_1[/itex]. Putting that into the second equation and factoring out [itex]C_1[/itex], we have [itex]C_1(e^{\alpha}- e^{-\alpha}= 0[/itex]. Because [itex]\alpha[/itex] is not 0, [itex]\alpha[/itex] and [itex]-\alpha[/itex] are different and, since [itex]e^x[/itex] is a "one-to-one" function, [itex]e^\alpha[/itex] and [itex]e^{-\alpha}[/itex] are different. [itex](e^{\alpha}- e^{-\alpha}[/itex] is not 0 so [itex]C_1[/itex] must be 0 which means [itex]C_2= -C_1[/itex] is also zero. That is [itex]y(0)= 0(e^{\alpha x})+ 0(e^{-\alpha x})= 0[/itex] for all x. Again, y(x)= 0 is the only solution so NO negative number is an eigenvalue.

If [itex]\lambda[/itex] is positive, we can write [itex]\lambda= \alpha^2[/itex] so the equation becomes [itex]d^2y/dx^2+ \alpha^2y= 0[/itex] which has characteristic equation [itex]r^2- \alpha^2[/itex] with solutions [itex]r= i\alpha[/itex] and [itex]r= -i\alpha[/itex] so the general solution is of the form [itex]y(x)= C_1 cos(\alpha x)+ C_2 sin(\alpha x)[/itex]. Now, since cos(0)= 1 and sin(0)= 0, [itex]y(0)= C_1= 0[/itex]. [itex]y(1)= C_2 sin(\alpha)= 0[/itex]. If [itex]sin(\alpha)[/itex] is not 0, then [itex]C_2[/itex] is 0 and again we get y(x)= 0 for all x. But sine is 0 for any multiple of [itex]\pi[/itex], so if [itex]\alpha[/itex] is, say, [itex]n\pi[/itex], [itex]C_2[/itex] does NOT have to be 0: [itex]y(x)= C sin(n\pi x)[/itex] satisfies both the differential equation and the boundary conditions. [itex]n\pi[/itex] is an eigenvalue for for any integer n. The corresponding eigenfunctions are [itex]y(x)= C sin(n\pi x)[/itex] for C any non-zero number.

Notice by the way, that all of this depends not just on the equation but also on the boundary conditions. Also, as I said, y(x)= 0 for all x always satifies this equation so being an eigenvalue requires that the solution NOT be unique.
 
  • #3
HallsofIvy

thank you very very much
 

Related to Definition of the eigenfunction?

1. What is an eigenfunction?

An eigenfunction is a mathematical function that, when operated on by a linear operator, produces a scaled version of itself. It is a special type of function that plays an important role in many areas of mathematics, physics, and engineering.

2. What is the difference between an eigenfunction and an eigenvector?

An eigenfunction is a function, while an eigenvector is a vector. An eigenfunction is used to describe the behavior of a system, while an eigenvector is used to describe the properties of a linear transformation.

3. How is an eigenfunction related to an eigenvalue?

An eigenvalue is a constant that represents how much the eigenfunction is scaled by the linear operator. The eigenfunction is said to be the eigenvector corresponding to that eigenvalue.

4. Can an eigenfunction have multiple eigenvalues?

No, an eigenfunction can only have one eigenvalue. However, a single eigenfunction may have multiple eigenfunctions associated with it.

5. What are some real-world applications of eigenfunctions?

Eigenfunctions are used in many fields, including quantum mechanics, signal processing, and image analysis. They have applications in solving differential equations, analyzing vibration modes of structures, and studying the behavior of waves.

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