Linear Independence and Linear Functions

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SUMMARY

This discussion focuses on the concepts of linear independence and linear functions within the context of vector spaces, specifically R squared. The user seeks clarification on providing an example of a function f: R squared --> R that satisfies the property f(av) = af(v) for all a in R and all v in R squared, but is not linear. It is established that the function f=0V is indeed linear, contradicting the user's assumption. The discussion also emphasizes the importance of understanding linear functions as linear transformations that adhere to specific vector space operations.

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  • Understanding of vector spaces and their properties
  • Familiarity with linear functions and transformations
  • Knowledge of the definitions of linear independence
  • Basic understanding of matrix representation of linear functions
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  • Investigate the representation of linear functions using matrices
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catscradle
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I need some help with examples. Especially number 2.

1) Name a subset which is closed under vector addition and additive inverses but is not a subspace of R squared.

I think I got this one. {(x,y) st x,y are elements of integers} because this isn't closed under scalar multiplication

2) Give an example of a function f: R squared --> R that satisfies f(av) = af(v) for all a in the element of R and all v in the element of R squared, but f is not linear.

I don't really know what a linear function is. I tried f=0V, but my teacher said that's wrong. Any advice?

3) Find a set of 4 linearly independent vectors in the vector space L(R squared, R squared)

I think {3x+1, 4x, 8x^2 - x, 12x^3 - x^2} is an answer.
 
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catscradle said:
I need some help with examples. Especially number 2.

1) Name a subset which is closed under vector addition and additive inverses but is not a subspace of R squared.

I think I got this one. {(x,y) st x,y are elements of integers} because this isn't closed under scalar multiplication
Yes, that's correct. Very good!

2) Give an example of a function f: R squared --> R that satisfies f(av) = af(v) for all a in the element of R and all v in the element of R squared, but f is not linear.

I don't really know what a linear function is. I tried f=0V, but my teacher said that's wrong. Any advice?
A linear function (and if you were given this problem you were certainly expected to know what it is- perhaps you know them as "linear operators" or "linear transformations") is a function f defined on a vector space such that f(u+ v)= f(u)+ f(v) and f(av)= af(v) where u and v are vectors and a is a scalar. Since those are the operations on a vector space, linear functions "play nicely" with vectors and are the most important functions on vector spaces. f= 0V (f(v)= 0 for all vectors, v) is linear- that's why you teacher said that is wrong. Since f(av)= af(v) is one of the requirements for a linear function, it must be the other, f(u+ v)= f(u)+ f(v), that is violated. I'm not at all sure I can think of any good "hint" here. I'll just say, consider the function [itex]f((x,y)= ^3\sqrt{x^2y}[/itex].

3) Find a set of 4 linearly independent vectors in the vector space L(R squared, R squared)

I think {3x+1, 4x, 8x^2 - x, 12x^3 - x^2} is an answer.[/QUOTE]
What do you think L(R2,R2) means? It is the set of Linear functions from R2 to R2. (Which makes me very concerned about your statement "I don't really know what a linear function is"! Obviously your teacher thinks you should!)

Your examples are functions from R to R, not R2 to R2 and three of the four are not "linear". You need functions that take a vector <x,y> to another vector, something line f(<x,y>)= <fx(x,y), fy(x,y)> and, again, the functions must be linear. Are you at all familiar with representing linear functions as matrices? L(R2, R2) can be represented as the set of all 2 by 2 matrices.
 
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