Determine a basis for the image of F

  • Thread starter Thread starter victoranderson
  • Start date Start date
  • Tags Tags
    Basis Image
victoranderson
Messages
34
Reaction score
0
basis.jpg


Hello I have a question about part (b)

Now I know that F(f)(x) = [##\frac{1}{2}a+\frac{5}{6}b+\frac{17}{12}c]+[-a-2b-4c]x+[b+\frac{7}{2}c]x^{2}+[\frac{-2}{3}b-\frac{7}{3}c]x^{3}##

so Kernel of F : F(f)(x) =0

=> ##\frac{1}{2}a+\frac{5}{6}b+\frac{17}{12}c=0##
##-a-2b-4c=0##
##b+\frac{7}{2}c=0##
##\frac{-2}{3}b-\frac{7}{3}c=0##

which gives a=3c,b=-7c/2
so the basis for the kernel of F is (3,-7/2,1)

I think it is correct.

After that I am confusing about the basis for the image of F

When I convert the system of equations into matrix form and use wolframalpha to solve it
there are basis for column space and basis for row space
I do not know which one is the one I am looking for.
I think it should not be using matrix to determine the basis for the image of F because it should be used in the latter part.
 
Last edited:
Physics news on Phys.org
The basis you found for the kernel of F is correct.

To find a basis for the image, you might start by finding a set of vectors that span the image of F and then find the largest subset that's linearly independent.
 
vela said:
The basis you found for the kernel of F is correct.

To find a basis for the image, you might start by finding a set of vectors that span the image of F and then find the largest subset that's linearly independent.

so the basis for the image is {##\frac{1}{2},\frac{5}{6},\frac{17}{12}##} and {##-1,-2,-4##}?

Another question.
Since F: P2(R) -> P3(R), the dim(F) is 3 or 4?
After doing this question I think dim(F) = 3, since dim(ker(F)) = 1 and dim(Im(F))=2
 
victoranderson said:
so the basis for the image is {##\frac{1}{2},\frac{5}{6},\frac{17}{12}##} and {##-1,-2,-4##}?
No. For one thing, the elements in the image of F are four-dimensional. Your vectors are three-dimensional.

Another question.
Since F: P2(R) -> P3(R), the dim(F) is 3 or 4?
After doing this question I think dim(F) = 3, since dim(ker(F)) = 1 and dim(Im(F))=2
I don't know what you mean by "dim(F)".
 
Last edited:
vela said:
No. For one thing, the image of F is four-dimensional. Your vectors are three-dimensional.I don't know what you mean by "dim(F)".

That is my question.
How do we determine the basis for the image and the dimensions?
If you say the image of F is four-dimensional, then basis for the image of F can only be
span {(1/2,-1,0,0),(5/6,-2,1,-2/3),(17/12,-4,7/2,-7/3)} = span {(1/2,-1,0,0),(5/6,-2,1,-2/3)}
Is it correct now?Last time I thought dim(F) = dim(im(F))+ dim (ker(F))
Actually it is dim(P2(R)) = dim(im(F))+ dim (ker(F). I understand now.
 
victoranderson said:
That is my question.
How do we determine the basis for the image and the dimensions?
If you say the image of F is four-dimensional, then basis for the image of F can only be
span {(1/2,-1,0,0),(5/6,-2,1,-2/3),(17/12,-4,7/2,-7/3)} = span {(1/2,-1,0,0),(5/6,-2,1,-2/3)}
Is it correct now?
Sorry, I misspoke earlier. The image of F isn't four-dimensional; it's a subspace of a four-dimensional space. My point was that the vectors in Im(F) should have four coordinates, not three, as you seemed to have inferred.

If you rewrite what you wrote earlier for F(f)(x) slightly, you get

F(f)(x) = a(1/2 + x) + b(5/6 - 2x + x2 - 2/3 x3) + c(17/12 - 4x + 7/2 x2 - 7/3 x3),

which you can interpret as a linear combination of three vectors. Hopefully, that's what you did to come up with the vectors above.

The vectors (1/2,-1,0,0) and (5/6,-2,1,-2/3) are linearly independent and span the image, so they are a basis for Im(F). There are two vectors, so the dimension of the image is 2.


Last time I thought dim(F) = dim(im(F))+ dim (ker(F))
Actually it is dim(P2(R)) = dim(im(F))+ dim (ker(F). I understand now.
Right. When you talk about dimensions, you're talking about the dimension of a vector space (or subspace). To ask what dim(F) is doesn't make sense because F is a mapping, not a vector space, and as you noted, the domain and codomain have different dimensions.

The relation dim(P2(R)) = dim(im(F))+ dim(ker(F)) reflects the fact that you can split the domain into two pieces. The vectors in one piece, ker(F), all map to 0. The vectors in the other piece map onto the image of F.
 
  • Like
Likes 1 person
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
Back
Top