Linear AlgebraMatrix Representation Problem

In summary, the student is confused about two problems involving linear transformations. They are unsure if they are using the correct method and need clarification on how to approach the problems. They provide their attempted solutions for each problem, but are still unsure if they are correct.
  • #1
kr0z3n
8
0

Homework Statement


I'm practicing for my finals this coming week and I'm confused about these 2 problems.
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Homework Equations


The Attempt at a Solution


For e). I followed my notes and came up with D=U-1AU..since its asking for some basis to standard basis. And once computed, its the diagonal matrix.

D=
[-2 0 0]
[0 3 0]
[0 0 1]
So am I doing it right?

For part F). I don't know if its exactly the same method as above or do I need to get S=U-1V then B=SAS-1

I'm confused with all this!
 
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  • #2
You've cut off the critical information: what "L" is!

In general, you write a linear transformation, from vector space, V, to itself, as a matrix, in terms of an ordered basis, by applying that linear transformation to each basis vector in turn, writing the result as a linear combination of those basis vectors. The coefficients of each linear combination give a column of the matrix.
 

FAQ: Linear AlgebraMatrix Representation Problem

What is a matrix in linear algebra?

A matrix in linear algebra is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. It is used to represent and manipulate a system of linear equations and to perform various mathematical operations.

How is a matrix represented in linear algebra?

In linear algebra, a matrix is usually represented by a capital letter, such as A, with its entries denoted by lowercase letters and subscripts. For example, A = [aij] represents a matrix with rows i and columns j.

What is the matrix representation problem in linear algebra?

The matrix representation problem in linear algebra is the task of finding a matrix that represents a given linear transformation. This involves determining the values of the entries in the matrix based on the properties and behaviors of the linear transformation.

How is the matrix representation problem solved?

The matrix representation problem is solved by using a basis for the vector space, which is a set of linearly independent vectors that span the space. The linear transformation is then applied to each vector in the basis, and the resulting vectors are used to form the columns of the matrix representation.

Why is the matrix representation problem important in linear algebra?

The matrix representation problem is important in linear algebra because it allows for complex linear transformations to be represented and manipulated using simple matrix operations. This makes it easier to analyze and solve systems of linear equations and to apply linear algebra concepts to real-world problems in fields such as engineering, physics, and economics.

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