Injective linear transformation

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Homework Help Overview

The discussion revolves around proving that the function defined by the integral of a polynomial, g:R[t]→R[t], where g(p(t)) = ∫₀ᵗ p(x) dx, is an injective linear transformation. Participants are exploring the properties of this transformation and its implications for polynomials.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are examining the definition of injectivity in the context of polynomials and their integrals. Questions arise about the kernel of the transformation and the conditions under which polynomials can map to the zero polynomial. Some participants are attempting to clarify the relationship between the function g and the polynomials involved.

Discussion Status

The discussion is active, with various interpretations being explored regarding the injectivity of g. Some participants have provided insights into the nature of polynomials and their zeros, while others express confusion about the definitions and relationships involved. There is no explicit consensus, but several lines of reasoning are being pursued.

Contextual Notes

Participants are grappling with the definitions of injective functions and the properties of polynomials, particularly in relation to their integrals. There is mention of the zero polynomial and its significance in the context of vector spaces, as well as the need for clarity on the transformation's behavior across different polynomials.

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Homework Statement



We regard each polynomial p(t) an element of R(t) as defining a function

[itex] p:R\rightarrow R, x \rightarrow p(x)[/itex]

prove that

[itex]g:R[t]\rightarrow R[t], p(t) \rightarrow \int_{0}^{t}p(x)dx[/itex]

defines an injective linear transformation.

Homework Equations





The Attempt at a Solution



As the function is only defined for [itex]t \geq 0[/itex] is fair to say that when t = 0, g(T) = 0 = ker(g)
is the only vector in the kernel. and as the functions domain is well defined

then function is injective?
 
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First, the function p output by the functional g is defined for all real t, as the integral is defined for all real t. Secondly, g is not a linear transformation of t, it is a linear transformation of p. Properties of g are not related to variations in t, but variations in p (Ie., what polynomials, if any, are mapped to the 0 polynomial?)
 
Are they the polynomials with zero coefficient?
 
Do I need to find out all the elements p(t) of the set of polynomials [t] that after integration map to the zero polynomial?
 
where r u stuck with this ? ... linear part is trivial. to prove the injective part observe that any polynomial cannot be zero in the whole of (0,1) as it can atmost have finitely many zeros.

i can help u more only if you show evidence of your effort. you seem to be stuck at just the question, marvelling at what to prove.
 
I am stuck with identifying the function G.

I thought a function is injective IF and only IF Ker{T}= 0.

I'm not sure what you mean by "any polynomial cannot be zero in the whole of (0,1) "
 
g is defined ... what r u identifying ? g is injective iff g(p) = 0 => p =0.

which is the same as your definition in this case (why ?)

> I'm not sure what you mean by "any polynomial cannot be zero in the whole of (0,1) "

it means that only zero polynomial (one which is identically zero) can take the value zero at every point between 0 and 1.

but like i said, you are stuck with a benumbed mind. come out of it. there is nothing so terrifying that you freeze.
 
g is injective iff g(p) = 0 => p =0.

Normally polynomials are not injective because f(x^2) = 9 could be x = 3 or -3

If it is injective we assume there must be an left inverse function f of g = idx


so take two elements of G x and y

g(x) => =0 = g(y) => 0

If g(x) = g(y), then x = g(f(x)) = g(f(y)) = y, so that x = y = idx
 
who said polynomials are injective ?

g maps {set of all polynomials} to {set of all polynomials}. you r supposed to prove that g is injective not elements of {set of all polynomials}. and what is this supposed to mean (along with whatever you wrote) --

g(x) => =0 = g(y) => 0
 
  • #10
beetle2 said:
Are they the polynomials with zero coefficient?

The zero polynomial is the polynomial that is the zero vector in the vector space R[t]. Use the vector space axioms to identify this element. Intuitively, it should be the polynomial p(t) = 0.
 
  • #11
Hi guy's
Thanks for your help but I think I better go back to the books because I'm not sure what the question asks

the first part says:

[itex]p:R\rightarrow R, x \rightarrow p(x)[/itex]

A function explicitly maps an variable x in R to p(x) in R

I'm confused about the function G

[itex]g:R[t]\rightarrow R[t], p(t) \rightarrow \int_{0}^{t}p(x)dx[/itex]

how they tie together
 
  • #12
boneill3 said:
Hi guy's
Thanks for your help but I think I better go back to the books because I'm not sure what the question asks

the first part says:

[itex]p:R\rightarrow R, x \rightarrow p(x)[/itex]

A function explicitly maps an variable x in R to p(x) in R

I'm confused about the function G

[itex]g:R[t]\rightarrow R[t], p(t) \rightarrow \int_{0}^{t}p(x)dx[/itex]

how they tie together
What "G" are you talking about? If you mean "g" then then it is, just as it says, the function that maps each polynomial into its integral (with the stipulation that its value at 0 is 0).

in particular
[tex]g(a+ bt+ ct^2)= \int_0^t (a+ bx+ cx^2)dx= at+ \frac{1}{2}bt^2+ \frac{1}{3}ct^3[/tex].
 
  • #13
slider142 said:
The zero polynomial is the polynomial that is the zero vector in the vector space R[t]. Use the vector space axioms to identify this element. Intuitively, it should be the polynomial p(t) = 0.

So to identify the zero vector..

we prove [itex]\lambda x = 0v[/itex] if and only if [itex]\lambda = 0[/itex] or [itex]x = 0v[/itex]

take [itex]x \in R[t][/itex]
Suppose that [itex]\lambda x = 0v[/itex] and [itex]\lambda \neq 0[/itex]
than:

[itex] x = 1x[/itex]

[itex] = (\frac{1}{\lambda}\lambda)x[/itex]

[itex] = \frac{1}{\lambda}(\lambda x)[/itex]

[itex] = \frac{1}{\lambda}0v[/itex]

[itex] = 0v\\[/itex]



take [itex]x,y,z \in R[t][/itex]

We need to prove [itex]x+y = 0v[/itex] if and only if [itex]y = -x[/itex]


Suppose [itex]x+y = x+z[/itex]

Than:

[itex]-x+(x+y) = -x+(x+z)[/itex]

[itex](-x+x)+y = (-x+x)+z[/itex]

[itex]0v+y = 0v+z[/itex]

[itex]y = z[/itex]
 

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