Some linear algebra problems i with

In summary, the conversation discusses various properties and characteristics of matrices, such as nonsingularity, determinants, and skew-symmetry. It also includes specific examples, such as the Vandermonde matrix. The main conclusions are that if AB=AC and det A does not equal 0, then B=C, and that A is nonsingular if and only if A transpose is nonsingular. Additionally, it is shown that det AB = det BA, and that det AB = 0 if and only if det A=0 or det B=0. For specific cases, if AB=-BA and n is odd, then either A or B is singular, and if A is a skew-symmetric matrix with odd n, then det
  • #1
skybluekitty
4
0
Let A and B be nxn matrices.
1. Suppose that AB=AC and det A does not equal 0. Show that B=C

2. Show that A is nonsingular if and only if A transpose is nonsingular.

3. Show that det AB = det BA.

4. Show that det AB = 0 if and only if det A=0 or det B=0

5. Show that if AB= -BA and n is odd, then A or B is singular.

6. Show that det A*Atranspose is greater than equal to 0

7. Show that det A*Btranspose = det Atranspose* det B

8. Let A be nxn skew-symmetric matrix. If n is odd, show that det A=0

9. Show that 3x3 vandermonde matrix has a determinant equal to (a-b)(b-c)(c-a) The matrix is
[1 1 1
a b c
a^2 b^2 c^2]
Thank you.


Homework Statement


Homework Equations


The Attempt at a Solution

 
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1. What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of linear equations, their representations in vector spaces, and the operations on these spaces. It is used to solve systems of linear equations and to analyze linear transformations.

2. What are some common applications of linear algebra?

Linear algebra has many applications in various fields such as physics, engineering, economics, and computer graphics. It is used to solve complex systems of equations, model real-world systems, and analyze data in machine learning and data science.

3. What are the basic concepts in linear algebra?

The basic concepts in linear algebra include vectors, matrices, systems of linear equations, and linear transformations. Other important concepts include determinants, eigenvalues and eigenvectors, and vector spaces.

4. What are some common problems in linear algebra?

Some common problems in linear algebra include solving systems of linear equations, finding eigenvalues and eigenvectors, performing matrix operations, and finding the inverse of a matrix. These problems can be solved using various techniques such as Gaussian elimination, matrix diagonalization, and LU decomposition.

5. How can I improve my understanding of linear algebra?

To improve your understanding of linear algebra, it is important to practice solving problems and working with matrices and vectors. You can also read textbooks and watch online lectures to deepen your knowledge. Additionally, applying linear algebra concepts to real-world problems can help in gaining a better understanding of its applications.

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