For matrix A, A*A = 0 implies A = 0

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In summary, we are asked to show that if A is a square matrix and A^\dagger is its Hermitian conjugate, and A^\dagger A = 0, then A = 0. The solution involves finding matrix elements and using the fact that they must be zero for A to be equal to 0. However, there is an alternative method that involves showing a contradiction if A is not equal to 0.
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Homework Statement



Given that [itex]A[/itex] is a square matrix and [itex]A^\dagger[/itex] is its Hermitian conjugate, and that [itex]A^\dagger A = 0[/itex], show that [itex]A = 0[/itex].

The Attempt at a Solution



Let [itex]\{|i\rangle\}[/itex] be some orthonormal basis. Find the matrix elements of [itex]A[/itex] by taking [itex]0 = \langle j| A^\dagger A |j \rangle = \displaystyle\sum_n \langle j|A^\dagger |n \rangle \langle n|A|j \rangle = \displaystyle\sum_n | \langle n|A|j \rangle |^2 \ge | \langle i|A|j \rangle |^2 = |A_{ij}|^2[/itex], so [itex]A_{ij} = 0[/itex] and [itex]A = 0[/itex].

3. Question

Is there a way to prove the result that does not rely on finding matrix elements?
 
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Yes, the proof is very similar but does not require picking a specific vector to multiply by. Suppose that Av is not zero. Then by observing
[tex] \left<v| A^{\dagger} A| v \right> = \left<Av| Av \right> [/tex]
You should be able to prove that this number is both zero and non-zero, giving a contradiction.
 
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Related to For matrix A, A*A = 0 implies A = 0

1. What does it mean for a matrix to equal 0?

A matrix equals 0 when all of its elements are equal to 0. This is also known as the zero matrix.

2. How can a matrix multiplied by itself equal 0?

In order for A*A to equal 0, every element in the resulting matrix must also equal 0. This can only occur if the original matrix A is the zero matrix.

3. What is the significance of A*A = 0?

A*A = 0 is a special property of the zero matrix. It tells us that any matrix multiplied by itself will only result in a zero matrix if the original matrix is also the zero matrix.

4. How does this property apply to real-world applications?

In real-world applications, the property A*A = 0 can be used to solve systems of equations and to find the null space of a matrix. It also has applications in fields such as computer graphics and physics.

5. Can this property be generalized to matrices of any size?

Yes, this property holds true for matrices of any size. As long as all elements of the matrix are 0, the result of A*A will always be 0.

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