Linear Transformation and Inner Product Problem

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The discussion revolves around a homework problem involving linear transformations in R2 with the standard inner product defined as the dot product. The user successfully solved part a by applying the transformation T(v) = AT*v, but is struggling with part b. A hint is provided, suggesting that the 'standard representation of T' refers to its representation in an orthonormal basis. The user is encouraged to select independent vectors, specifically the base vectors (1,0) and (0,1), to determine the matrix elements of the transformation T. The conversation emphasizes the importance of understanding the relationship between linear transformations and their matrix representations in vector spaces.
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Homework Statement


  1. Consider the vector space R2 with the standard inner product given by ⟨(a, b), (c, d)⟩ = ac + bd. (This is just the dot product.)

    PLEASE SEE THE ATTACHED PHOTO FOR DETAIlS

Homework Equations


T(v)=AT*v

The Attempt at a Solution


I was able to prove part a. I let v=(v1,v2) and w=(w1,w2)
apply T(v)=AT*v and do the expansions easily yields the result

But for part b I am clueless. Please suggest an attempt
 

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Hint: the expression 'standard representation of ##T##' means 'representation of ##T## in an orthonormal basis'.
 
You can choose any pair of independent vectors u and v to find the matrix elements of the transformation T. Let be these two vectors the base vectors of R2, (1,0) and (0,1).
 
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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