Doubt about exercise with eigenvalues

In summary, the endomorphism ϕ in ##\mathbb{E}^4## has the following matrix equation:ϕ(x,y,z,t)=(4x-3z+3t, 4y-3x-3t,-z+t,z-t)
  • #1
Felafel
171
0

Homework Statement




Given the endomorphism ϕ in ##\mathbb{E}^4## such that:
ϕ(x,y,z,t)=(4x-3z+3t, 4y-3x-3t,-z+t,z-t) find:

A)ker(ϕ)
B)Im(ϕ)
C)eigenvalues and multiplicities
D)eigenspaces
E)is ϕ self-adjoint or not? explain

The Attempt at a Solution



I get the associated matrix:

(4 0 -3 3)
(0 4 -3 -3)
(0 0 -1 1)
(0 0 1 -1)

but i can remove the last row, because it equals the third multiplied by -1

-solving AX=0 i have ker= L((0,0,1,1),(3, -3, 4, 4))

- reducing the columns i get Im= L((1, 0, 0),(0,1,0))

I'm not really sure this results are right, but what I wanted to ask is:
how do I compute the eigenvalues if the matrix is not square? is the rest of the exercise unsolvable?

thank you :)
 
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  • #2
Felafel said:

Homework Statement




Given the endomorphism ϕ in ##\mathbb{E}^4## such that:
ϕ(x,y,z,t)=(4x-3z+3t, 4y-3x-3t,-z+t,z-t) find:

A)ker(ϕ)
B)Im(ϕ)
C)eigenvalues and multiplicities
D)eigenspaces
E)is ϕ self-adjoint or not? explain

The Attempt at a Solution



I get the associated matrix:

(4 0 -3 3)
(0 4 -3 -3)
(0 0 -1 1)
(0 0 1 -1)

but i can remove the last row, because it equals the third multiplied by -1

I'm not sure why you think you can do this... If you're solving a system of equation Ax=b, then this is a valid technique. But you're not doing that here.
 
  • #3
Okay, so I'll have to keep alle the rows all through the exercise, right?
I've taken it again, with the following results:

##ker(\phi)=L(0, \frac{3}{2}, 1, 1)##

##Im(\phi)=L((-3,-3,-1,-1),(4,0,0,0),(0,4,0,0))##

eigenvalues and multiplicity: ##T_1=0^1 ; T_2=-2^1; T_3=4^2##

eigenspaces:

(6 0 -3 3)
(0 6 0 0)
(0 0 -3 3) = T(-2)
(0 6 -5 1)

##V_{-2}= L((2,0,-1,1),(0,1,0,0),(0,0,-1,1),(0,0,5,-1))##

(0 0 -3 -3)
(0 0 0 0)
(3 -3 1 -5) = T(4)
(0 -6 -4 -4)

##V_4=L((3,-3,1,5),(0,3,2,2),(0,0,-1,1))##

##V_0=ker##

which is not selfadjoint because its algebric multiplicity is different from its geometrical multiplicity.

is it okay now?
thanks again
 

Related to Doubt about exercise with eigenvalues

1. What is the significance of eigenvalues in exercise and fitness?

Eigenvalues are a mathematical concept that is often used in exercise and fitness to analyze and understand data related to movement and exercise. They can be used to identify patterns and trends in movement, and can also help determine the optimal level of effort for a particular exercise.

2. How do eigenvalues affect my workout routine?

Eigenvalues can be used to measure the effectiveness of different workout routines. By analyzing the eigenvalues of a particular exercise, you can determine if it is helping you achieve your fitness goals or if adjustments need to be made to your routine.

3. Can eigenvalues help prevent injuries during exercise?

Yes, eigenvalues can be used to identify any imbalances or asymmetries in movement, which can be early warning signs of potential injuries. By addressing these imbalances, you can reduce the risk of injury during exercise.

4. Are there any limitations to using eigenvalues in exercise analysis?

While eigenvalues can be a useful tool in exercise analysis, they should not be the sole factor in determining the effectiveness of a workout routine. Other factors such as individual fitness goals, body type, and personal preferences should also be taken into consideration.

5. How can I incorporate eigenvalues into my exercise routine?

If you are interested in incorporating eigenvalues into your exercise routine, it is best to consult with a trained professional such as a physical therapist or exercise scientist. They can assist you in analyzing your movement patterns and developing a personalized exercise plan based on your individual eigenvalues.

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