MHB Linear Transform Synonyms: Grouping Components and Spaces

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The discussion focuses on defining linear transformations and their components, specifically addressing the mapping of vectors through matrix multiplication. It clarifies that a matrix A maps from R^d to R^k, correcting misconceptions about the dimensions involved. The rank and nullity of a transformation T are identified as R^k and R^d, respectively. The conversation also emphasizes the need to group synonyms related to linear transformations, such as row space, kernel, and image. Overall, the thread aims to clarify definitions and relationships within linear algebra concepts.
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Also just working on another question, especially stuck with the last part.

It's basically definitions.

View attachment 825

This is what I've got so far, correct me if I'm wrong.

a) k components, k components.
b) R^n to R^n
c) R^rank(T)
d)R^nullity(T)
e) Completely unsure (need help with this)
 

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Kaspelek said:
Also just working on another question, especially stuck with the last part.

It's basically definitions.

View attachment 825

This is what I've got so far, correct me if I'm wrong.

A few things wrong over here, let's get started:

Kaspelek said:
a) k components, k components.

Remember how matrix multiplication works: the number of columns of the matrix on the left has to match the number of rows of the matrix on the right. In this case, A has d rows, which means that x (a column vector) has to have d components. The product, b, will have the same number of columns as x (one column) and the same number of rows as A (k rows). So, b has k components.

Kaspelek said:
b) R^n to R^n

I don't see an "n" anywhere in this question. Since A takes a vector of d components and gives a vector of k components, A is a map from $\mathbb{R}^d$ to $\mathbb{R}^k$.

Kaspelek said:
c) R^rank(T)
d)R^nullity(T)
e) Completely unsure (need help with this)

The answers to c) and d) are $\mathbb{R}^k$ and $\mathbb{R}^d$ respectively.

I'll put e) as it's own post.
 
Now for e): Let's make a list for reference. For our purposes, I don't care about the difference between A and $T_A$ (which gives us a few answers for free, incidentally).

1. row space of A
2. kernel of A
3. column space of A
4. solution space of A
5. image of A
6. null space of A
7. rank of A
8. rank of A
9. dimension of image of A
10. nullity of A
11. nullity of A
12. dimension of the row space of A
13. dimension of the kernel of A
14. dimension of the image of A^T
15. nullity of A^T
16. number of rows of A
17. rank of A^T

The question is to "group all synonyms." Now I'm fairly sure the answer should be:
1
2,6
3,5
4
7,8,9,12,14,17
10,11,13
15
16

any questions on a particular grouping?
 
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