Vector Spaces: Explained (2x2 Matrices)

In summary, the conversation is discussing matrices and their relationship to sets. A matrix can be labeled as a function of a pair of integers, and the set of 2x2 matrices is the same as the set of Rs. This can be generalized to other size matrices and it is noted that a vector in $\Bbb R^n$ can be thought of as a function. The number of pairs from two finite sets is determined by the size of the sets, with the same number of possible "indices" as a 2x2 matrix. The set being sought for this problem may be any set with the proper cardinality.
  • #1
das1
40
0
Can someone explain this to me? Thanks!

The component in the ith row and jth column of a matrix can be
labeled m(i,j).
In this sense a matrix is a function of a pair of integers.
For what set S is the set of 2 × 2 matrices the same as the set Rs ?

Generalize to other size matrices.
 
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  • #2
Well a 2x2 matrix has 4 numbers you need to specify.

How many (real) numbers to you need to specify in $\Bbb R^n$?

What they are trying to get you to see, is that a vector $(v_j) \in \Bbb R^n$ can be thought of as a function:

$f: \{1,2,\dots,n\} \to \Bbb R$, with:

$f(j) = v_j$.

For example, we can identify the vector $(1,3,-2) \in \Bbb R^3$ with the function:

$1 \mapsto 1$
$2 \mapsto 3$
$3 \mapsto -2$

the "order" of the coordinates is determined by the "natural" order of the natural numbers 1,2,3.

It may help to recall that the number of pairs from two finite sets $S,T$ is:

$|S \times T| = |S|\ast |T|$.

With $S = \{1,2\} = T$, this gives 4 pairs:

(1,1),(1,2),(2,1),(2,2)---the same number of possible "indices" of a 2x2 matrix.

EDIT: the set $S$ this problem is looking for might be "any" set with the proper cardinality (size). However, for finite sets, it is common to use for a set of cardinality $k$, the set $\{1,2,\dots,k\}$, which certainly has $k$ elements, because there is a "natural" way to describe:

1st element, 2nd element, etc. for this set.
 

Related to Vector Spaces: Explained (2x2 Matrices)

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of objects called vectors, along with operations of addition and scalar multiplication. These operations follow specific rules and allow for the manipulation and combination of vectors.

2. What is a 2x2 matrix?

A 2x2 matrix is a rectangular array of numbers arranged in two rows and two columns. It is a type of matrix that is commonly used in linear algebra and has many applications in areas such as physics, engineering, and computer graphics.

3. How are vector spaces and 2x2 matrices related?

A vector space can be represented by a set of 2x2 matrices, where the elements in the first column represent the first coordinate of a vector and the elements in the second column represent the second coordinate. The addition and scalar multiplication operations in the vector space correspond to the addition and scalar multiplication of matrices.

4. What properties must a set of 2x2 matrices have to be considered a vector space?

To be considered a vector space, a set of 2x2 matrices must satisfy the following properties: closure under addition and scalar multiplication, associativity and commutativity of addition, distributivity of scalar multiplication over addition, and existence of an additive identity and additive inverse for each element.

5. What are some real-world applications of vector spaces and 2x2 matrices?

Vector spaces and 2x2 matrices have many practical applications, such as in physics for representing quantities such as velocity and force, in computer graphics for creating and manipulating images, and in economics for modeling financial systems. They are also commonly used in engineering, statistics, and data analysis.

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