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Introduction to Orthogonal Matrix Video Lecture | Mathematics Optional Notes for UPSC

FAQs on Introduction to Orthogonal Matrix Video Lecture - Mathematics Optional Notes for UPSC

1. What is an orthogonal matrix?
Ans. An orthogonal matrix is a square matrix whose rows and columns are orthonormal vectors, meaning they are perpendicular to each other and have a length of 1.
2. How is the inverse of an orthogonal matrix related to the original matrix?
Ans. The inverse of an orthogonal matrix is simply its transpose. This property makes orthogonal matrices particularly useful in various mathematical applications.
3. Can all square matrices be orthogonal matrices?
Ans. No, not all square matrices can be orthogonal matrices. For a matrix to be orthogonal, its columns (or rows) must form an orthonormal basis, which is a specific condition that not all matrices satisfy.
4. How are orthogonal matrices used in transformations?
Ans. Orthogonal matrices are often used to represent rotations and reflections in geometric transformations. Due to their properties, they preserve lengths and angles, making them essential in many applications.
5. What are the implications of a matrix being orthogonal?
Ans. The fact that a matrix is orthogonal has several implications, such as simplifying calculations, preserving distances and angles, and providing a convenient way to represent rotations and reflections in a matrix form.

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