Questions about Linear Algebra

In summary, linear algebra is a branch of mathematics that deals with the study of linear equations and their representations in vector spaces. It is important because it provides a powerful and flexible framework for solving a wide range of problems in mathematics, science, and engineering. Some real-world applications include image and signal processing, data compression, computer graphics, and optimization. The basic concepts include vectors, matrices, linear transformations, and systems of linear equations, as well as other important concepts such as eigenvalues and eigenvectors. There are various ways to learn linear algebra, including taking courses, reading textbooks, and practicing with exercises and problems, and a strong foundation in algebra and calculus is helpful for understanding the subject.
  • #1
Artusartos
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Homework Statement



Let [itex]A \in M_n(F) [/itex] and [itex]v \in F^b [/itex].

Also...[itex][g \in F[x] : g(A)(v)=0] = Ann_A (v) [/itex] is an ideal in F[x], called the annihilator of v with respect to A. We know that [itex] g \in Ann_A(v) [/itex] if and only if f|g in F[x]. Let [itex]V = Span(v, Av, A^2v, ... , A^{k-1}v).[/itex]. V is teh smallest A-invariant subspace containing v. We denote the fact by writing V=F[x]v. This corresponds to the F[x]-module structure on [itex]F^n[/itex] induced by multiplication by A. We also know that [itex]v, Av, A^2v, ... , A^{k-1}v[/itex] is a basis, B, of v.

Now these are the questions...

1) Define [itex]Ann_A(V) =[g \in F[x] : g(A)(w) = 0 for all w \in V].[/itex] Show that [itex]Ann_A(V)=Ann_A(v)[/itex]

2) Let T: V -> V be induced by multiplication by A: T(w)=Aw for [itex]w \in V[/itex]. Show that [itex]Ann_A(V) = [g \in F[x] : g(T) = 0] = [g \in F[x]: g([T]_B)=0][/itex].

Here the first one means that g(T): V -> V is the 0-transformation and the second one means that g([T]_B) is the 0-matrix. Since [itex]Ann_A(V) = (f) = [g \in F[x]: f|g][/itex], we write [itex]f=min_T(x)[/itex], the monic polynomial of lowest degree with f(T)=0.


Homework Equations





The Attempt at a Solution



My answers:

1) In order to show that [itex]Ann_A(V)=Ann_A(v)[/itex], I need to show that [itex]Ann_A(V) \subset Ann_A(v)[/itex] and [itex]Ann_A(v ) \subset Ann_A(V)[/itex]. It is clear that [itex]Ann_A(v ) \subset Ann_A(V)[/itex], since v is in V.

In order to show that [itex]Ann_A(V) \subset Ann_A(v)[/itex]...

we say that, since [itex]Ann_A(V) = [g \in F[x] : g(A)(w) = 0 for all w \in V][/itex], then g(A) must be zero for A restricted to V. So, assuming that it is zero when A is restricted to V, [itex]Ann_A(V) \subset Ann_A(v)[/itex]. So they must be equal.

2) We say g(T) = g(A), where A is restricted to v.

[itex]g(x) = c_0 + c_1x +... + c_tx^t [/itex] and [itex] g(T)w= (c_0 + c_1T + ... + c_tT^t)(w) = c_0w + c_1Tw +... + c_t(T)^t)(w) = c_0w + c_1Aw + ... + c_t(A)^tw = (c_0 + c_1A + ... + c_tA^t)(w) = g(A)w [/itex].

So [itex] [g \in F[x]: g(A).w = 0 for all w \in V][/itex] = [itex][g \in F[x]: g(T).w=0 for all w \in V][/itex] = [itex][g \in F: g(T) = 0][/itex].

Now for the second one, we do the exact same thing, except that we say [itex]g([T]_B) = g(A)[/itex], where g(A) is restricted to [itex][v]_B[/itex].

So...

[itex]g(x) = c_0 + c_1x +... + c_tx^t [/itex] and [itex] g([T]_B)w= (c_0 + c_1[T]_B + ... + c_t{[T]_B}^t)(w) = c_0w + c_1[T]_Bw +... + c_t{[T]_B}^t)(w) = c_0w + c_1Aw + ... + c_t(A)^tw = (c_0 + c_1A + ... + c_tA^t)(w) = g(A)w [/itex].

So [itex] [g \in F[x]: g(A).w = 0 for all w \in V][/itex] = [itex][g \in F[x]: g([T]_B).w=0 for all w \in V][/itex] = [itex][g \in F: g([T]_B) = 0][/itex]

Do you think my answers are correct? If not, then can you tell me why?

Thanks in advance
 
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  • #2
!

I would like to provide some additional explanation and clarification to your answers.

1) Your explanation for why Ann_A(V) \subset Ann_A(v) is correct. However, you need to also show that Ann_A(v) \subset Ann_A(V) in order to prove that they are equal. To do this, you can use the fact that V is the smallest A-invariant subspace containing v, and therefore any polynomial that annihilates all elements of V must also annihilate v.

2) Your reasoning for showing Ann_A(V) = [g \in F[x] : g(T) = 0] and Ann_A(V) = [g \in F[x] : g([T]_B) = 0] is correct. However, you need to show that these two sets are equal, not just that they both equal Ann_A(V). This can be done by showing that any polynomial that annihilates T also annihilates [T]_B, and vice versa.

Additionally, you may want to clarify what you mean by "restricted to v" and "[v]_B". It would also be helpful to explain the significance of the monic polynomial of lowest degree with f(T)=0 in relation to Ann_A(V).

Overall, your answers show a good understanding of the concepts involved, but could benefit from some additional clarification and explanation.
 

1. What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of linear equations and their representations in vector spaces. It involves the manipulation and analysis of vectors, matrices, and linear transformations to solve problems in various fields such as physics, engineering, and computer science.

2. Why is linear algebra important?

Linear algebra is important because it provides a powerful and flexible framework for solving a wide range of problems in mathematics, science, and engineering. It is used in fields such as computer graphics, machine learning, cryptography, and data analysis.

3. What are some real-world applications of linear algebra?

There are many real-world applications of linear algebra, including image and signal processing, data compression, computer graphics, and optimization. It is also used in physics to describe the motion of particles and in economics to model supply and demand.

4. What are the basic concepts in linear algebra?

The basic concepts in linear algebra include vectors, matrices, linear transformations, and systems of linear equations. Other important concepts include eigenvalues and eigenvectors, determinants, and diagonalization.

5. How can I learn linear algebra?

There are many ways to learn linear algebra, including taking a course at a university or online, reading textbooks or other resources, and practicing with exercises and problems. It is also helpful to have a strong foundation in algebra and calculus before studying linear algebra.

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