Least R R R For Which ( A + B ) R (A+B)^r ( A + B ) R Is A Null Matrix If A M = 0 A^m=0 A M = 0 And B N = 0 B^n=0 B N = 0 And A B = B A AB=BA A B = B A
Least for which is a null matrix if and and
In the realm of matrix algebra, the concept of nilpotent matrices plays a crucial role in understanding various properties and behaviors of matrices. A nilpotent matrix is a square matrix such that for some positive integer . In this article, we will explore the problem of finding the least positive integer for which is a null matrix, given that and and .
Let and be two square matrices of the same order such that , and for some positive integers and with . What is the least positive integer for which is a null matrix?
Before diving into the problem, let's briefly discuss the properties of nilpotent matrices. A nilpotent matrix satisfies the condition for some positive integer . This means that when we raise the matrix to the power of , the resulting matrix is a zero matrix. The smallest positive integer for which is called the index of nilpotency of .
Properties of Nilpotent Matrices
Nilpotent matrices have several interesting properties that will be useful in solving the problem. Some of these properties include:
- Nilpotent matrices are singular: A nilpotent matrix is singular, meaning that its determinant is zero.
- Nilpotent matrices have a zero eigenvalue: The eigenvalues of a nilpotent matrix are all zero.
- Nilpotent matrices commute with each other: If and are nilpotent matrices, then .
To find the least positive integer for which is a null matrix, we need to consider the properties of nilpotent matrices and the given conditions and and .
Case 1:
If , then and are both nilpotent matrices with index of nilpotency 1. In this case, we can show that is a null matrix for any positive integer .
Case 2: and
If and , then is a nilpotent matrix with index of nilpotency 1, and is a nilpotent matrix with index of nilpotency . In this case, we can show that is a null matrix for .
Case 3: and
If and , then is a nilpotent matrix with index of nilpotency , and is a nilpotent matrix with index of nilpotency 1. In this case, we can show that is a null matrix for .
Case 4: and
If and , then is a nilpotent matrix with index of nilpotency , and is a nilpotent matrix with index of nilpotency . In this case, we can show that is a null matrix for .
In conclusion, the least positive integer for which is a null matrix is given by:
- If , then can be any positive integer.
- If and , then .
- If and , then .
- If and , then .
The final answer is .
Q&A: Least for which is a null matrix if and and
Q: What is the problem asking for?
A: The problem is asking for the least positive integer for which is a null matrix, given that and and .
Q: What are the conditions given in the problem?
A: The conditions given in the problem are:
- and are two square matrices of the same order.
- , meaning that and commute.
- and for some positive integers and with .
Q: What is the significance of ?
A: The significance of is that and are coprime, meaning that they have no common factors other than 1. This is important because it allows us to use the properties of coprime numbers to solve the problem.
Q: What is the relationship between and ?
A: The relationship between and is that they commute, meaning that . This is an important property that we will use to solve the problem.
Q: How do we find the least positive integer ?
A: To find the least positive integer , we need to consider the properties of nilpotent matrices and the given conditions and and . We will use the properties of coprime numbers and the relationship between and to find the least positive integer .
Q: What are the different cases that we need to consider?
A: There are four different cases that we need to consider:
- Case 1:
- Case 2: and
- Case 3: and
- Case 4: and
Q: How do we solve each case?
A: To solve each case, we need to use the properties of nilpotent matrices and the given conditions and and . We will use the properties of coprime numbers and the relationship between and to find the least positive integer for each case.
Q: What is the final answer?
A: The final answer is .
Q: What is the significance of the final answer?
A: The significance of the final answer is that it gives us the least positive integer for which is a null matrix, given the conditions and and . This is an important result that can be used in various applications of matrix algebra.