be the vector space of all real polynomials of at most degrees 3 with the inner
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Could you show me part (c) using the orthogonal(not orthonormal) basis in (a)?
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Follow-up Question
Could you explain how to find minimal polynomial more in detail? I don't understand why when k=1, [T] = 0 and it is contradicting what(?) and when k=0, why m(x)=x^2 and how does it make [T]^2=0? Isn't [T] is our matrix? If so, what is the relationship between the matrix and the minimal polynomial?
I would appreciate your kind explanation.
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