Orthogonality Proof for R(x)*Wn*Yn(x) = -T(d^2)[Yn(x)]/dx

In summary: This is because the value of Y and its derivatives at a point is determined by the values of Y and its derivatives on either side of that point, and if Y and its derivatives are continuous, then their values at the boundaries must be the same as their values at the point itself. Therefore, the integral of (Yn(x)*Ym(x)*R(x)) between the limits of 0 and L is zero.In summary, the eigenvalue equation for a stretched string under tension T between rigid supports at x=0 and x=L is R(x)*(Wn*2)*Yn(x) = -T (d^2)[Yn(x)]/dx. The weight function R(x), eigenvalue Wn,
  • #1
sachi
75
1
We have the eigenvalue equation
R(x)*(Wn*2)*Yn(x) = -T (d^2)[Yn(x)]/dx

T the tension is a constant

R(x) is the weight function, Wn is the eigenvalue of the nth normal mode and Yn is the nth normal mode eigenfunction. We have to show that the integral of (Yn(x)*Ym(x)*R(x)) between the limits of 0 and L is zero. we are also told that the streched string in question is held under tension T between rigid supports at x=0 and x=L.
I can complete most of the proof by intregation by parts, but I'm having trouble making a couple of terms disappear to make the proof work.
We end up with
[Yn'*Ym] - [Ym'Yn] having to equal zero, where the square brackets indicate that we are subtracting the value of the bracketed expression at L from its value at 0, and ' indicate a derivative wrt x. We are not explicitly told that Y or Y' goes to zero at 0 or L, only that the supports are "rigid". My argument is as follows:let us suppose that Y and it's first derivative are continuous at the boundaries. Therefore their values at 0 and L will be the same for all normal modes, therefore the expression above goes to zero as required. The problem is that I'm not sure about the justification for the first derivative to be zero (also, will all derivatives be zero? I suspect this will be so for a physically sensible model of a string.)
 
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  • #2
The justification for the first derivative to be zero at the boundaries is that the assumption of "rigid supports" implies no displacement, and therefore no rate of change in displacement (or velocity) at the boundaries. Therefore all derivatives at the boundaries should be zero, not just the first derivative. Furthermore, if Y and its derivatives are continuous, then it follows that Y and its derivatives must also be zero at the boundaries.
 

1. What is orthogonality proof for R(x)*Wn*Yn(x) = -T(d^2)[Yn(x)]/dx?

The orthogonality proof for the equation R(x)*Wn*Yn(x) = -T(d^2)[Yn(x)]/dx is a mathematical demonstration that shows how the functions R(x), Wn, and Yn(x) are orthogonal to each other. This means that their inner products are equal to zero, which is a key property in many mathematical and scientific applications.

2. Why is orthogonality important in scientific research?

Orthogonality is important in scientific research because it allows for the independent analysis of different variables or components. This is particularly useful in fields such as statistics, signal processing, and quantum mechanics where it is necessary to isolate and study individual components or factors.

3. How is the orthogonality proof for R(x)*Wn*Yn(x) = -T(d^2)[Yn(x)]/dx performed?

The orthogonality proof for this equation is typically performed using various mathematical techniques, such as integration by parts and the properties of orthogonal functions. The specific method used may vary depending on the context and application of the equation.

4. What are some practical applications of orthogonality in science?

Orthogonality has numerous practical applications in science, including in fields such as signal processing, quantum mechanics, and linear algebra. It is also used in data analysis and modeling, as well as in the development of algorithms and statistical methods.

5. Are there any limitations to using the orthogonality proof for R(x)*Wn*Yn(x) = -T(d^2)[Yn(x)]/dx?

As with any mathematical proof, there may be limitations to the orthogonality proof for this equation. These may include assumptions made about the functions involved, as well as the specific context and application of the equation. It is important to carefully consider these limitations and any potential sources of error when using the proof in scientific research.

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