Can the Orthonormality Property Help Calculate Fourier Series Coefficients?

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In summary, the conversation discusses the method of calculating zm for the given equation x(t) using the orthonormality property. This is done by computing the scalar product of x(t) and em(t), where em(t) is defined as e^(j*m*omega*t). The book provides a detailed explanation and derivation of this method for calculating Fourier series coefficients.
  • #1
kolycholy
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x(t) = sigma (from m = -infinity to infinity) zm e^(j*m*omega*t)

now my book says that using orthonormality property, we can calculate zm by calculating scalar product of x(t) and em(t) (where em(t) = e^(j*m*omega*t))
hows that possible??

please feel free to move the thread if its in wrong section!
 
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  • #2
Have you tried actually computing the scalar product?
 
  • #3
Hurkyl said:
Have you tried actually computing the scalar product?
the book has done that for me ...
it still makes no sense why zm would equal the scalar product
 
  • #4
Since you probably didn't come here just to say you're surprised, that means you don't understand something about the derivation -- so what didn't you understand?
 
  • #5

1. What is the orthonormality property?

The orthonormality property is a mathematical concept that describes the relationship between two vectors in a vector space. It states that two vectors are considered orthonormal if they are both perpendicular to each other and have a magnitude of 1.

2. How is the orthonormality property used in linear algebra?

The orthonormality property is used in linear algebra to simplify calculations and make it easier to solve systems of equations. By using orthonormal vectors as a basis for a vector space, it is possible to reduce the number of variables and simplify the equations.

3. What is the significance of orthonormality in quantum mechanics?

In quantum mechanics, the orthonormality property is crucial in representing physical states of quantum systems. Orthonormality allows for the calculation of probabilities and the description of quantum states using mathematical operators.

4. How does the orthonormality property relate to the concept of orthogonality?

The orthonormality property is a special case of orthogonality, where two vectors are not only perpendicular to each other, but also have a magnitude of 1. Orthogonality is a more general concept that can describe the relationship between any two vectors, not just orthonormal ones.

5. Can vectors be both orthonormal and linearly independent?

Yes, vectors can be both orthonormal and linearly independent. In fact, in a vector space, a set of orthonormal vectors is always linearly independent. This means that no vector in the set can be written as a linear combination of the other vectors in the set.

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