(i) Let A be an n x n matrix over C and II be an m x m projection matrix. Let z E C. Calculate exp(z(A > II)). (ii) Let A₁, A2 be n x n matrices over C. Let II₁, I2 be m x m projection matrices with II₁I₂ = On. Calculate exp(z(A₁II₁ + A₂ II₂)). (iii) Use the result from (ii) to find the unitary matrix U(t) = exp(-iĤt/ħ) where Ĥ = ħw(A₁II₁ + A₂II₂) and we assume that A₁ and A2 are hermitian matrices.
(i) Let A be an n x n matrix over C and II be an m x m projection matrix. Let z E C. Calculate exp(z(A > II)). (ii) Let A₁, A2 be n x n matrices over C. Let II₁, I2 be m x m projection matrices with II₁I₂ = On. Calculate exp(z(A₁II₁ + A₂ II₂)). (iii) Use the result from (ii) to find the unitary matrix U(t) = exp(-iĤt/ħ) where Ĥ = ħw(A₁II₁ + A₂II₂) and we assume that A₁ and A2 are hermitian matrices.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![(i) Let A be an n × n matrix over C and II be an m × m
projection matrix. Let z E C. Calculate
exp(z(A > II)).
(ii) Let A₁, A₂ be n × n matrices over C. Let II₁, II₂ be m x m projection
matrices with II₁II₂ = On. Calculate
exp(z(A₁II₁ + A₂ > II₂)).
(iii) Use the result from (ii) to find the unitary matrix
U(t) = exp(-iĤt/ħ)
where Ĥ = ħw(A₁ ⓇII₁ + A₂ ❀ II₂) and we assume that A₁ and A₂ are hermitian
matrices.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8547368d-61ae-448e-997c-bb66faf12143%2F4e222db1-a42c-4372-918a-740c389e9844%2F8e3btg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(i) Let A be an n × n matrix over C and II be an m × m
projection matrix. Let z E C. Calculate
exp(z(A > II)).
(ii) Let A₁, A₂ be n × n matrices over C. Let II₁, II₂ be m x m projection
matrices with II₁II₂ = On. Calculate
exp(z(A₁II₁ + A₂ > II₂)).
(iii) Use the result from (ii) to find the unitary matrix
U(t) = exp(-iĤt/ħ)
where Ĥ = ħw(A₁ ⓇII₁ + A₂ ❀ II₂) and we assume that A₁ and A₂ are hermitian
matrices.
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