Practice Orthogonality and Eigenfunction Expansion - 18.8 | 18. Separation of Variables, Use of Fourier Series | Mathematics (Civil Engineering -1)
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Orthogonality and Eigenfunction Expansion

18.8 - Orthogonality and Eigenfunction Expansion

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Practice Questions

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Question 1 Easy

What is the definition of orthogonality in the context of functions?

💡 Hint: Think of angles and how they relate to functions.

Question 2 Easy

Explain the importance of orthogonality in computing Fourier coefficients.

💡 Hint: Remember how each function overlaps with another.

1 more question available

Interactive Quizzes

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Question 1

What is the significance of orthogonality in Fourier series?

It ensures functions add up correctly.
It allows for overlapping contributions.
It prevents distortion in the series.
It guarantees maximum amplitude.

💡 Hint: Think about how functions interact with each other.

Question 2

True or False: The inner product of two orthogonal functions over a defined interval equals zero.

True
False

💡 Hint: Recall the definition of orthogonality.

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Challenge Problems

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Challenge 1 Hard

Consider the eigenfunctions sin(nπx/L) and sin(mπx/L). Prove their orthogonality by evaluating their inner product over the interval [0, L].

💡 Hint: Use integration by parts or trigonometric identities.

Challenge 2 Hard

Derive the formula for the nth Fourier coefficient of a function using inner products. Explain how this relates to the concept of orthogonality.

💡 Hint: Recall the definition of inner products and apply to your function.

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