How to Calculate T(2, -1, 1) Using Given Linear Transformations?

In summary, matrix algebra transformation is a mathematical process used to manipulate and transform data represented in the form of matrices. It has various applications in fields such as physics, engineering, computer graphics, and machine learning. The basic operations involved are addition, subtraction, multiplication, and division. It differs from vector transformation in that it can handle higher dimensions and is more versatile. In computer graphics, it is used to perform translations, rotations, scaling, and other transformations to create realistic and dynamic visual effects.
  • #1
vanitymdl
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Homework Statement


Let T: R3 → R3 be a linear transformation such that T(1, 1, 1) = (1, 0, –1), T(0, – 1, 2) = (–3, 3, –1), and T(1, 0, 1) = (1, 1, 0). Find the following expression. (Enter each vector as a comma-separated list of its components.)

what is T(2, –1, 1)?


The Attempt at a Solution


So what i did was 2T(1, 1, 1)-T(0, – 1, 2)+T(1, 0, 1)
then this can be rewritten as 2(1, 0, –1)-(–3, 3, –1)+(1, 1, 0) so once I did that I got (6,-2,-1), but that is obviously the wrong answer and I don't know why.
 
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  • #2
Well, your linear combination to obtain T(2,-1,1) doesn't work out, because the middle component ends up being 3, not -1.
 

Related to How to Calculate T(2, -1, 1) Using Given Linear Transformations?

1. What is matrix algebra transformation?

Matrix algebra transformation is a mathematical process used to manipulate and transform data represented in the form of matrices. It involves performing operations such as addition, subtraction, multiplication, and division on matrices to obtain new matrices with different properties.

2. What are the applications of matrix algebra transformation?

Matrix algebra transformation has various applications in fields such as physics, engineering, computer graphics, and machine learning. It is used to solve systems of linear equations, represent geometric transformations, and perform data analysis and prediction.

3. What are the basic operations involved in matrix algebra transformation?

The basic operations involved in matrix algebra transformation are addition, subtraction, multiplication, and division. Addition and subtraction are performed element-wise between two matrices, while multiplication involves multiplying corresponding elements and adding them together. Division is performed by finding the inverse of a matrix and multiplying it with another matrix.

4. What is the difference between matrix algebra transformation and vector transformation?

Matrix algebra transformation involves manipulating and transforming matrices, which are arrays of numbers arranged in rows and columns. Vector transformation, on the other hand, involves transforming vectors, which are one-dimensional arrays of numbers. While both use similar operations, matrix algebra transformation can handle higher dimensions and is more versatile than vector transformation.

5. How is matrix algebra transformation used in computer graphics?

Matrix algebra transformation plays a crucial role in computer graphics by enabling the representation and manipulation of objects in a three-dimensional space. It is used to perform translations, rotations, scaling, and other transformations on objects to create realistic and dynamic visual effects in video games, movies, and virtual reality applications.

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