Example of a linear transformation L which is injective but not surj, or vice versa

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The discussion focuses on examples of linear transformations that are either injective but not surjective, or vice versa, within the context of finite and infinite-dimensional vector spaces. An example of a surjective but not injective transformation is the differential operator D on the space of polynomials, where multiple inputs can yield the same output. Conversely, the integration operator I is presented as injective but not surjective, as there are polynomials whose derivatives cannot be expressed as polynomials. Additionally, a transformation L defined on V = ℝ² is shown to be injective, as it maps angles to half the original angle, but not surjective, since it only covers a half-plane. The discussion highlights the importance of dimensionality in understanding the properties of linear transformations.
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Homework Statement


Give an example of a linear vector space V and a linear transformation L: V-> V that is 1.injective, but not surjective (or 2. vice versa)


Homework Equations



-If L:V-> V is a linear transformation of a finitedimensional vector space, then
L is surjective, L is injective and L is bijective are equivalent
- ker(L)={0} is equivalent with L is injective (in which case ker(L) is 0-dimensional)
-dimV=dim(ker(L))+dim(Im(L)), if (ℝ,V,+),(ℝ,W,+) finite dimensional vector spaces and L maps V on W linearly.

The Attempt at a Solution



I guess that the word finite is the most relevant, so that the equation of the dimensions does not apply for infinitedimensional vector spaces.
an example of an infinitedimensional vectorspace would be (ℝ,ℝ[X],+) if ℝ[X] is a polynomial of infinite degree, with a basis β={1,X,X^2,...,X^n,...}.

so suppose L:ℝ[X]->ℝ[X] is a transformation.
1. example of surjective, but not injective function:
Perhaps D if D is the differential operator such that a_0+a_1X+a_2X^2+... -> a_1 + 2a_2X + ...
not injective: clearly 1 != 2, yet D(1)=D(2)
surjective: choose p in ℝ[X]. p=a_1+2a_2X+3a_2X^2... for certain a_i in ℝ. is there a p_0 in ℝ[X] such that D(p_0)=p? indeed, choose a_0 randomly, and choose a_1,a_2,a_3,... in ℝ. define p_0= a_0+a_1X+a_2X^2+... then clearly p_0 \in ℝ[X], and D(p_0)=p.
 
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(continued)
2. example of an injective, but not surjective function:
how about I, if I is the integration function, such that I: a_0+a_1X+a_2X^2 ->a_0X + a_1(X^2)/2+ a_2(X^3)/3 + ...
not surjective: is there a p in ℝ[X] such that there is no p_0 in ℝ[X] so that I(p_0)=p (or equivalently D(p)=p_0)?
In other words, is there a p whose derivative is not a real polynomial?
I don't think this is possible.
 


Let V=\mathbb{R}^2. Every vector in such space can be described as \mathbf{v}=(r\cos{\phi},r\sin{\phi}), where r\in[0;\infty)\: \wedge \:\phi\in[0;2\pi). Let:
L:V\rightarrow V;\quad L((r\cos{\phi},r\sin{\phi}))=(r\cos{\frac{\phi}{2}},r\sin{\frac{\phi}{2}})
Due to function f(x)=\frac{x}{2} being injective, L is also injective. Furthermore, because none of L(\mathbf{v}) have \phi > \pi, L is not surjective.
 


none of the L(v) have \phi/2 > \pi ?
 


Ah, yes, sorry, I've written it too quickly. More precisely: none of vectors from L image has angle greater than \pi. Basically the image is a half-plane.
 


ah ok. Get it.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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