Understanding the Minimal Polynomial: Clarifying Confusion on p(T)(v)

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Discussion Overview

The discussion revolves around the concept of the minimal polynomial in linear algebra, specifically focusing on the notation p(T)(v) and its implications. Participants explore the relationship between linear transformations, polynomials, and their effects on vectors, while addressing confusion regarding the minimal polynomial's definition and properties.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks clarification on the meaning of p(T)(v), suggesting it involves applying the polynomial p to the linear transformation T and then applying the resulting transformation to the vector v.
  • Another participant confirms this interpretation and discusses the relationship between the minimal polynomial and the least common multiple of other polynomials, indicating that a proof may be necessary for full understanding.
  • A third participant notes that certain facts were used implicitly in the previous post, suggesting that they are straightforward but may require further explanation.
  • One participant challenges the assertion that p(T)=0 is equivalent to p(T)(v)=0, stating that the correct interpretation involves p(T)(v) equating to zero for all vectors v.

Areas of Agreement / Disagreement

Participants generally agree on the interpretation of p(T)(v) but disagree on the implications of the equivalence between p(T)=0 and p(T)(v)=0, indicating an unresolved point of contention regarding this relationship.

Contextual Notes

Some assumptions and definitions related to the minimal polynomial and its properties may not be fully articulated, which could affect the clarity of the discussion.

kidsmoker
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I'm just learning a bit about the "minimal polynomial" today but there was a section from the book which I didn't understand. This is the section, and I've circled the bit I'm having trouble with.

http://img15.imageshack.us/img15/1825/97503873.jpg (sorry, it won't let me post an image for some reason??)

Firstly it's a bit unclear to me what they mean by p(T)(v). Would this mean that you take the linear transformation T (or equivalently its matrix), stick it in the polynomial p to obtain a new linear transformation p(T), then perform this transformation on v?

Okay, assuming that's correct I can understand that p(T)=0 <=> p(T)(v)=0. But then how does this imply that the minimal polynomial is the least common multiple of all those other ones?! They say it like it's completely obvious!

Thanks.
 
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Your interpretation of p(T) is correct. Take note of this, since it's a rather useful technique. As for the least common multiple thing, how obvious it is depends on how much algebra you've been doing lately. Your text probably should have supplied a proof, unless they already have results to that effect.

I'll adapt the notation given in your text: let bi be a basis for V and ui be corresponding minimal polynomials killing each bi (bear with me, I don't know how to type this properly! I'll always use "i" as an index). We need to prove two directions. First, assume ui divides p for all i, say (fixing i) p=f*gi. Then p(T)(v)=f(T)*gi(T)(v)=f(T)(0)=0, so p(T) kills all of V. Conversely, say bi does not divide p, but p(bi)=0. Then p=f*ui+r, for some f and r with degree less than that of ui. But then p(T)(bi)=r(bi)=0, contradicting the minimality of ui.
 
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These posts are written in a hurry. If anything needs clarification, please ask. Above, I used two facts implicitly: the result given as an exercise immediately below the red box in the scan, and the fact that (f*g)(T)=f(T)*g(T). These are both easy.
 
kidsmoker said:
I can understand that p(T)=0 <=> p(T)(v)=0.
That's not correct.

p(T)=0 <=> { p(T)(v) = 0 for all v }
 

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