Math Problem Statement
Solution
The problem asks to evaluate the correctness of the given statements, with the matrices and assumed to be positive definite matrices.
Let's go through the statements one by one:
(A) 的特征值都大于零 (The eigenvalues of are all greater than zero)
For positive definite matrices and , it's known that their eigenvalues are positive. However, the product may not necessarily have all positive eigenvalues. Although and are individually positive definite, the product is not necessarily positive definite (and may not even be symmetric). Therefore, we cannot conclude that all eigenvalues of are positive.
Conclusion: False.
(B) 的充要条件是 的特征值都是 -1 (The necessary and sufficient condition for is that all eigenvalues of are -1)
If , then , where is the identity matrix, whose eigenvalues are all 1, not -1. This statement seems to confuse the conditions for equality between and .
Conclusion: False.
(C) 正定 ( is positive definite)
Since and are both positive definite, their inverses and transposes are also positive definite. The sum of two positive definite matrices is also positive definite. Therefore, (which is ) is positive definite.
Conclusion: True.
(D) 正定 ( is positive definite)
For positive definite matrices and , their product is not necessarily positive definite unless the matrices commute (i.e., ). Since the problem does not specify that and commute, we cannot conclude that is positive definite in general.
Conclusion: False.
Summary of Answers:
- (A) False
- (B) False
- (C) True
- (D) False
Would you like a detailed explanation on any specific part?
Here are 5 related questions:
- What are the properties of positive definite matrices?
- How do the eigenvalues of a matrix product relate to the eigenvalues of the individual matrices?
- Under what conditions is the sum of two positive definite matrices also positive definite?
- Can you give an example where the product of two positive definite matrices is not positive definite?
- Why does the transpose of a positive definite matrix remain positive definite?
Tip: When dealing with eigenvalues of matrix products, always verify if the matrices commute before concluding any properties about the product.
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Math Problem Analysis
Mathematical Concepts
Positive Definite Matrices
Matrix Eigenvalues
Matrix Products
Linear Algebra
Formulas
Eigenvalues of matrix product AB
Inverse and transpose of matrices
Positive definite matrix definition
Theorems
Eigenvalue properties of positive definite matrices
Sum of positive definite matrices
Conditions for matrix product positivity
Suitable Grade Level
University level
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