What Are the Kernel and Image of the Linear Map T?

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SUMMARY

The linear map T defined as T(a,b) = (a+b, 2a + 2b) operates within the space L(R², R²). The kernel of T consists of all vectors (a,b) such that T(a,b) = (0,0), which leads to the solution set where a + b = 0. The image of T is the set of all outputs generated by T, which can be visualized as a transformation of R². The matrix representation of T in the standard basis for R² is [[1, 1], [2, 2]].

PREREQUISITES
  • Understanding of linear maps in vector spaces
  • Familiarity with kernel and image concepts in linear algebra
  • Knowledge of standard basis vectors in R²
  • Ability to perform matrix representation of linear transformations
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  • Study the properties of linear transformations in R²
  • Learn how to compute the kernel and image of various linear maps
  • Explore the concept of basis vectors and their significance in vector spaces
  • Practice deriving matrix representations for different linear maps
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Homework Statement



Let T (element of L(R^2,R^2) ) be the linear map T(a,b) = (a+b, 2a +2b)

A) What is the kernal of T

B) What is the image of T

C) Give the matrix for T in the standard basis for R^2

Homework Equations



Kernal of T = {v element of V st T(v) = 0}
Image of T = {w element of W st T(v) = w}

I'm not sure about the matrix


The Attempt at a Solution



I'm really not sure where to go with this. In this case, there are two variable (a,b) instead of 1 variable (v), so I don't know how either the kernal or the image work.

I don't know what standard basis means, and I can't find it in my notes.

Can someone help me?
 
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Well T is an element of the dual space and it is a map. you want to find the set of points (a,b) such that T(a,b) = (0,0)

As for the image of T try to visualise what the ap is doing to R2

The standard basis is what we normally use as a set of basis vectors, which ill leave you to find out (its pretty obvious youll get it)
 
The key for the standard basis is R^2. It's different for all R^n, so focus on the two
 
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