Proving Unitary Matrix in M2ℝ: Orthonormal Basis

In summary, if u is a unitary matrix in M2(ℝ) and {b1, b2} is an orthonormal basis of ℝ2, then u(b2) can be determined up to a negative sign by u(b1). This means that knowing u(b1) will tell you the absolute value of u(b2) but not whether it is positive or negative.
  • #1
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Let u be a unitary matrix in M2(ℝ).
Prove that if {b1, b2} is an orthonormal basis of ℝ2, then u(b2) is determined up to a negative sign by u(b1).

Can anyone provide some intuition that will help me understand the question (don't really understand it)? Any tips/hints appreciated.


Thanks.
 
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  • #2
u is unitary so [itex] u u^{\dagger}=I [/itex]
[itex] \{b_1,b_2\} [/itex] is an orthonormal basis of [itex] \mathbb{R}^2 [/itex] so [itex] b_i \cdot b_j =\delta_{ij} [/itex]
The point is:
[itex] (ub_1)\cdot(ub_2)=(ub_1)^{\dagger}(ub_2)=b_1^{\dagger}u^{\dagger}ub_2=b_1^{\dagger}b_2=b_1\cdot b_2=\delta_{ij}[/itex]
So because [itex] \{b_1,b_2\} [/itex] is an orthonormal basis,so is [itex]\{ub_1,ub_2\} [/itex] which means [itex]ub_2[/itex] is orthogonal to [itex]ub_1[/itex] which means once [itex] ub_1[/itex] is determined,[itex]ub_2[/itex] is determined up to a negative sign!
 
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  • #3
Thank you! I'm confused by the meaning of "up to a negative sign"...what does that meant exactly?
 
  • #4
That knowing what u(b1) is will tell you what the absolute value of u(b2) is but not whether it is positive or negative.
 
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1. What is a unitary matrix?

A unitary matrix is a square matrix with complex entries that satisfies the property of being equal to its own complex conjugate transpose. In other words, the product of a unitary matrix and its conjugate transpose is equal to the identity matrix.

2. Why is it important to prove that a matrix is unitary?

Proving that a matrix is unitary is important because it guarantees that the matrix has certain desirable properties, such as preserving the lengths of vectors and preserving orthogonality. This makes unitary matrices useful in many applications, including quantum mechanics and signal processing.

3. How do you prove that a matrix is unitary?

In order to prove that a matrix is unitary, you must show that the matrix is equal to its own complex conjugate transpose. This can be done by multiplying the matrix by its conjugate transpose and showing that the result is equal to the identity matrix.

4. What is an orthonormal basis?

An orthonormal basis is a set of vectors in a vector space that are both orthogonal (perpendicular) to each other and have a length of 1. This means that each vector in the basis is unit length and all vectors are mutually perpendicular.

5. How do you prove that a set of vectors is an orthonormal basis?

In order to prove that a set of vectors is an orthonormal basis, you must show that the vectors are mutually orthogonal and that each vector has a length of 1. This can be done by calculating the dot product of each pair of vectors and showing that it is equal to 0 for orthogonal vectors, and by calculating the magnitude of each vector and showing that it is equal to 1 for unit length vectors.

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