Norm of V in ℂ^n Using Inner Product

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SUMMARY

The norm of the vector V = (1, i) in ℂ^n is calculated using the standard inner product, defined as ||V|| = √(V* · V), where V* represents the complex conjugate of V. In this case, V* = (1, -i), leading to the calculation ||V|| = √((1)(1) + (i)(-i)) = √(1 + 1) = √2. This confirms that V is indeed a row vector, and the inner product method accurately computes its norm.

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  • Familiarity with inner product spaces
  • Knowledge of matrix representation of vectors
  • Basic principles of vector norms
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P-Jay1
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Using the standard inner product in ℂ^n how would I calculate the norm of:

V= ( 1 , i ) , where this is a 1 x 2 matrix
 
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Isn't that a row vector?

||V||=\sqrt{V*\cdot V}, where V* is the complex conjugate and the dot is the inner product.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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