Understanding the Physical Meaning of Orthogonality Condition in Functions

In summary: This is proven in the webpage I linked to. They first prove that the eigenvectors are orthogonal if they correspond to different eigenvalues, and then they prove that they are orthogonal even if they correspond to the same eigenvalue.In summary, the physical meaning of two functions being orthogonal in quantum mechanics is that if the system is in one of the states represented by the functions, the probability of it being in the other state is zero. This is due to the fact that orthogonal wavefunctions correspond to different eigenvalues and therefore represent mutually exclusive states. In addition, hermitian operators, which are necessary for real and measurable observables, have orthogonal eigenfunctions. Therefore, imposing orthogonality conditions in problems such as the infinite square well or
  • #1
pluspolaritons
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What does it mean when we say that two functions are orthogonal (the physical meaning, not the mathematical one)? I tried to search for the physical meaning and from what I read, it means that the two states are mutually exclusive. Can anyone elaborate more on this?

Why do we impose orthogonality condition in many of the problems like infinite square well, harmonic oscillator etc?
 
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  • #2
pluspolaritons said:
Why do we impose orthogonality condition in many of the problems like infinite square well, harmonic oscillator etc?
We don't impose it (usually). It's a natural property of solutions to certain types of differential equations. If you'd like to read more about it, look up sturm-liouville theory.
 
  • #3
pluspolaritons said:
What does it mean when we say that two functions are orthogonal (the physical meaning, not the mathematical one)?

Functions are not physical objects, they are mathematical objects. I don't think you should expect physical meaning out of mathematical objects.

Otherwise, I would use the analogies to 3-D space and the dot product along with the definition of inner product to build up an intuition about them.

edit - doh! I see you posted this in quantum section rather than math... My first critique is thus not that relevant...
 
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  • #4
@ModusPwnd - I should have written 'wavefunctions' instead of 'functions'.

Anyway, I found a pretty good website that helps to explain this a bit:
http://quantummechanics.ucsd.edu/ph130a/130_notes/node140.html

So from what I understand,

In QM, if we want our observable to be real and measurable, the operator has to be Hermitian. And the eigenfunctions of Hermitian operators are always orthogonal as shown on the website. Thus, in other words if we want our eignenvalues/measurables to be real, we require that the eigenfunctions to be orthogonal.

Orthogonal in where? Orthogonal in Hilbert space, the space where all the wavefunctions live. So back to first question. What does it mean to have 2 wavefunctions orthogonal? I think it means that the two wavefunctions will have real-valued measurables. If the wavefunctions are orthogonal, they can't be linear combination of each other. Otherwise I think they will give the same eigenvalues.

Is this correct?

And in the proof in the website I given, if a_1=a_2, then is the inner product of psi_1 and psi_2 zero? I thought the whole point is to prove that the inner product of psi_1 and psi_2 is zero, but why does the website go on and find the linear combination of the two wavefunctions that will give a zero inner product? What about the inner product of psi_1 and psi_2 itself when a_1=a_2, is it still zero?
 
  • #5
pluspolaritons said:
In QM, if we want our observable to be real and measurable, the operator has to be Hermitian. And the eigenfunctions of Hermitian operators are always orthogonal as shown on the website. Thus, in other words if we want our eignenvalues/measurables to be real, we require that the eigenfunctions to be orthogonal.
Hermitian operators are what we use to mathematically represent measuring devices that always return a real number as the result of the measurement. We don't need any other measuring devices to turn the mathematics into a theory of physics, or to test the theory, so non-hermitian operators are usually ignored in QM.

pluspolaritons said:
Orthogonal in where? Orthogonal in Hilbert space, the space where all the wavefunctions live. So back to first question. What does it mean to have 2 wavefunctions orthogonal? I think it means that the two wavefunctions will have real-valued measurables.
I'm not sure what you mean by that.

The physical significance of orthogonality is that if f and g are orthogonal wavefunctions, and the system is in the state f, then the probability that a measurement will put the system in state g is zero.

pluspolaritons said:
And in the proof in the website I given, if a_1=a_2, then is the inner product of psi_1 and psi_2 zero? I thought the whole point is to prove that the inner product of psi_1 and psi_2 is zero, but why does the website go on and find the linear combination of the two wavefunctions that will give a zero inner product? What about the inner product of psi_1 and psi_2 itself when a_1=a_2, is it still zero?
First they prove that any two eigenvectors that correspond to two different eigenvalues are orthogonal. Then they ask and partially answer the question, what happens if two eigenvectors have the same eigenvalue? The partial answer is that the two eigenvectors span a 2-dimensional subspace, and there exists an orthogonal basis for that subspace. The reason why this is interesting is that you will often need to use that given a hermitian operator A, there's an orthonormal basis for the Hilbert space that consists of eigenvectors of A.
 
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1. What is the definition of orthogonality condition in functions?

The orthogonality condition in functions is a mathematical concept that describes the relationship between two functions. It states that two functions are orthogonal if their inner product, or integral, is equal to zero. This means that the two functions are perpendicular to each other in a mathematical sense.

2. Why is understanding the physical meaning of orthogonality condition important?

Understanding the physical meaning of the orthogonality condition is important because it allows us to interpret the mathematical concept in a real-world context. It helps us to understand the relationship between two functions and how they interact with each other, which can be applied to various fields such as physics, engineering, and signal processing.

3. How is the orthogonality condition used in practical applications?

The orthogonality condition is used in various practical applications, such as in Fourier analysis, where it is used to represent a complex function as a sum of simpler orthogonal functions. It is also used in digital signal processing to filter out unwanted noise and in quantum mechanics to describe the properties of wave functions.

4. What are the limitations of the orthogonality condition in functions?

One limitation of the orthogonality condition is that it only applies to functions that are defined on a continuous domain. It cannot be applied to discrete functions or functions with discontinuities. Additionally, the orthogonality condition may not hold for certain types of functions, such as non-square integrable functions.

5. Can the orthogonality condition be extended to vectors in higher dimensions?

Yes, the concept of orthogonality can be extended to vectors in higher dimensions. In this case, the orthogonality condition states that two vectors are orthogonal if their dot product is equal to zero. This concept is widely used in linear algebra and is important in fields such as computer graphics and machine learning.

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