The relation between span(In,A,A2, )and it's minimal polynomial

In summary, the dimension of the span of In, A, A2, ... is equal to the degree of the minimal polynomial mA of A. This can be proven using the Cayley-Hamilton Theorem. For example, if mA is x^2+x+1, then A^2+A+1=0. This implies that A^2 can be written as a linear combination of A and 1, and so it is in the span of A and 1. However, this fact alone does not help in solving the problem.
  • #1
alazhumizhu
5
0
Let A ∈ Mn×n(F )
Why dim span(In, A, A2, A3, . . .) = deg(mA)?? where mA is the minimal polynomial of A.
For span (In,A,A2...)

I can prove its

dimension <= n by CH Theorem

but what's the relation between

dim span(In,A,A2...)and deg(mA)
 
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  • #2
For example, if the minimal polynomial is [itex]x^2+x+1[/itex]. Then [itex]A^2+A+1=0[/itex].

Do you see any way to conclude that [itex]A^2\in span(A,1)[/itex]?
 
  • #3
ybut i don't know why can't I write A
 
  • #4
ybut i don't know why can't I write A in spanA2I
 
  • #5
y,but i don't know why can't I write A in span{A2,I}?
I'm sorry about the type..
 
  • #6
alazhumizhu said:
y,but i don't know why can't I write A in span{A2,I}?
I'm sorry about the type..

That's also true, but I don't see how this fact helps you solve the problem.
 

Related to The relation between span(In,A,A2, )and it's minimal polynomial

1. What is the definition of "span" in the context of this relation?

Span refers to the set of all linear combinations of the given vectors (In, A, A2, ). In other words, it is the space that is generated by these vectors.

2. How is the minimal polynomial related to the span of In, A, A2?

The minimal polynomial is the smallest degree monic polynomial that can be constructed using the given vectors (In, A, A2,) as its coefficients. In other words, it is the polynomial that generates the span of these vectors.

3. What is the significance of the minimal polynomial in this relation?

The minimal polynomial helps to determine the dimension of the span of the given vectors (In, A, A2, ). It also provides information about the eigenvalues and eigenvectors of the linear transformation represented by these vectors.

4. Can the minimal polynomial be calculated for any set of vectors?

Yes, the minimal polynomial can be calculated for any set of vectors. However, it is only useful for a specific set of vectors if they represent a linear transformation.

5. How is the minimal polynomial used in practical applications?

The minimal polynomial is often used in solving systems of linear equations, calculating eigenvalues and eigenvectors, and determining the dimension of a vector space. It is also used in various areas of science, such as physics, engineering, and computer science, to model and solve real-world problems.

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