Quick Linear Algebra notation question

In summary, T(x) (or Tx) represents the result of applying the transformation T to the vector x. If the domain space of T is two-dimensional, T(x1, x2) represents the result of applying T to the vector (x1, x2). Otherwise, there is no clear meaning for T(x1, x2).
  • #1
jofree87
38
0
For transformations, what exactly does T(x) mean?

Does it mean T is the transformation matrix multiplied by a vector?

How about T(x1, x2) ?
 
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  • #2
[tex]T(x)[/tex] (or simply [tex]Tx[/tex]) means the result of applying the transformation [tex]T[/tex] to the vector [tex]x[/tex]. If you have the coordinate representations of these objects, i.e., the matrix of [tex]T[/tex] and the coordinates of the vector [tex]x[/tex], then the coordinates of the vector [tex]Tx[/tex] are indeed given by multiplying the matrix of [tex]T[/tex] by the coordinate vector of [tex]x[/tex], in that order.

If [tex]T[/tex] happens to be a transformation whose domain space is two-dimensional, then [tex]T(x_1, x_2)[/tex] probably means the result of applying [tex]T[/tex] to the vector [tex](x_1, x_2)[/tex] where [tex]x_1, x_2[/tex] are numbers. If the domain space of [tex]T[/tex] is other than two-dimensional, there is no obvious candidate for the meaning of [tex]T(x_1, x_2)[/tex].
 

1. What is linear algebra notation used for?

Linear algebra notation is used to represent mathematical concepts and operations in a concise and organized manner. It is commonly used in fields such as physics, engineering, and computer science to solve problems involving linear systems and vectors.

2. What is the difference between a vector and a matrix in linear algebra notation?

A vector is a one-dimensional array of numbers, while a matrix is a two-dimensional array of numbers. Vectors are commonly represented using column notation, while matrices are represented using a grid or table format.

3. How do you denote a transpose in linear algebra notation?

A transpose is denoted by adding a superscript "T" to the matrix or vector, indicating that the rows and columns have been flipped. For example, if A is a matrix, AT would represent its transpose.

4. What is the purpose of using subscripts in linear algebra notation?

Subscripts are used to indicate specific elements or entries within a vector or matrix. For example, in the vector x = [1, 2, 3], x2 would represent the second element, which is 2. In matrices, subscripts are used to denote the row and column of an entry, such as A2,3 representing the entry in the second row and third column of matrix A.

5. Can linear algebra notation be used to solve real-world problems?

Yes, linear algebra notation can be used to solve a variety of real-world problems, such as finding the optimal solution for a system of equations, analyzing data sets, and creating computer algorithms. It is a powerful tool for representing and solving complex mathematical problems in various fields.

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