What are the properties of matrices and their powers?

In summary, the conversation discusses two problems, one related to finding an elementary matrix to multiply the third row of a 3x3 matrix by 2/3 and the other related to proving that an eigenvector for A is also an eigenvector for A^2. The first problem also clarifies that it is asking for a matrix B such that the third row of A is 2/3 its original value when multiplied by B. The second problem involves finding the associated eigenvalue for the eigenvector. The speaker is seeking help or guidance with both of these problems.
  • #1
Max Power
1
0
I have a few problems at which I'm at a loss.

The first problem asks to "determine the elementary matrix that will multiply the third row of a 3x3 matrix by 2/3". I'm not even sure what this problem is asking. If A is a 3x3, is this problem asking for a matrix, B, which when you do AB, the third row of A is multplied by 2/3?

The second problem says "Let lambda be an eigenvalue and v an associated eigenvector of matrix A. Prove that v is also an eigenvector for A^2. What is the associated eigenvlue?" I can't find anything about the properties of matrices and their powers?

Might someone be able to offer a nudge or push in the right direction for either of these problems?

Thank you.
 
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  • #2
The second question is asking, if Av= lambdav, with lambda the eigenvlaue and v the associated eigenvector, prove that v is also an eigenvecotr for A^2, or A^2v = deltav, with delta the eigenvalue.
 
  • #3
As for the first question, it's asking for a matrix B such that the third row of A is 2/3 its original value when you calculate BA.
 

FAQ: What are the properties of matrices and their powers?

What is linear algebra?

Linear algebra is a branch of mathematics that deals with operations on and properties of linear equations, vectors, and matrices.

Why is linear algebra important?

Linear algebra is an essential tool for solving various real-world problems in fields such as physics, engineering, computer science, economics, and statistics. It is also the foundation for more advanced mathematical concepts and techniques.

What are some common applications of linear algebra?

Linear algebra is used in image and signal processing, data compression, machine learning, cryptography, and many other areas of science and technology.

What are some common operations in linear algebra?

Some common operations in linear algebra include addition, subtraction, scalar multiplication, vector dot and cross products, matrix multiplication, and finding determinants and inverses of matrices.

How can I improve my skills in solving linear algebra problems?

Practice is key to improving your skills in solving linear algebra problems. Additionally, understanding the underlying concepts and properties of linear algebra can also help you approach problems more effectively.

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