DP Mathematics: Applications and Interpretation Questionbank
AHL 1.15—Eigenvalues and eigenvectors
Description
[N/A]Directly related questions
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21M.2.AHL.TZ2.4c:
Find a matrix , with integer elements, such that , where is a diagonal matrix.
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21M.2.AHL.TZ2.4d:
Hence, show that the long-term transition matrix is given by .
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21M.2.AHL.TZ2.7c:
Determine, with justification, whether the equilibrium point is stable or unstable.
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21M.2.AHL.TZ2.4e:
Hence, or otherwise, determine the expected ratio of the number of patients Doctor Black would have compared to Doctor Green in the long term.
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21M.2.AHL.TZ2.7b:
Hence, write down the general solution of the system.
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21M.2.AHL.TZ2.7a:
Find the eigenvalues and corresponding eigenvectors of the matrix .
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21M.2.AHL.TZ2.7d:
(i) at .
(ii) at .
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21M.2.AHL.TZ2.7e:
Sketch a phase portrait for the general solution to the system of coupled differential equations for , .
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21M.2.AHL.TZ2.4a:
Write down a transition matrix indicating the annual population movement between clinics.
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21M.2.AHL.TZ2.4b:
Find a prediction for the ratio of the number of patients Doctor Black will have, compared to Doctor Green, after two years.
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20N.1.AHL.TZ0.F_4a:
By considering the determinant of a relevant matrix, show that the eigenvalues, , of satisfy the equation
,
where and are functions of to be determined.
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20N.1.AHL.TZ0.F_4b.i:
Verify that
0.
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20N.1.AHL.TZ0.F_4b.ii:
Assuming that is non-singular, use the result in part (b)(i) to show that
.
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EXN.2.AHL.TZ0.5a.ii:
the eigenvectors.
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EXN.2.AHL.TZ0.5e.ii:
Find the population of at this value of . Give your answer to the nearest herbivores.
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EXN.2.AHL.TZ0.5c:
Sketch the phase portrait for this system, for .
On your sketch show
- the equation of the line defined by the eigenvector in the first quadrant
- at least two trajectories either side of this line using arrows on those trajectories to represent the change in populations as t increases
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EXN.2.AHL.TZ0.5e.i:
Find the value of at which .
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EXN.2.AHL.TZ0.5a.i:
the eigenvalues.
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EXN.2.AHL.TZ0.5d:
Write down a condition on the size of the initial population of if it is to avoid its population reducing to zero.
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EXN.2.AHL.TZ0.5b:
Hence write down the general solution of the system of equations.
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21M.2.AHL.TZ1.5a:
It is sunny today. Find the probability that it will be sunny in three days’ time.
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21M.2.AHL.TZ1.5b:
Find the eigenvalues and eigenvectors of .
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21M.2.AHL.TZ1.5d:
Hence find the long-term percentage of sunny days in Vokram.
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21M.2.AHL.TZ1.5c.i:
Write down the matrix .
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21M.2.AHL.TZ1.5c.ii:
Write down the matrix .
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21N.2.AHL.TZ0.6a:
Given that , show that .
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21N.2.AHL.TZ0.6c.i:
Find the eigenvalues of matrix .
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21N.2.AHL.TZ0.6b:
Write down the matrix .
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21N.2.AHL.TZ0.6c.ii:
Find the eigenvectors of matrix .
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21N.2.AHL.TZ0.6d:
Given that when the shock absorber is displaced and its velocity is zero, find an expression for in terms of .
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22M.1.AHL.TZ1.11a:
Find an eigenvector corresponding to the eigenvalue of . Give your answer in the form , where .
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22M.2.AHL.TZ1.4a.ii:
Find the eigenvalues for the matrix .
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22M.2.AHL.TZ1.4a.iii:
Hence state the long-term velocity of the particle.
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22M.2.AHL.TZ1.4a.i:
Use the substitution to show that this equation can be written as
.
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EXM.3.AHL.TZ0.5e.ii:
Hence, find the Cartesian equation satisfied by and .
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EXM.3.AHL.TZ0.5h.i:
the curve in and in part (e) (ii), giving a reason.
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EXM.3.AHL.TZ0.5d.ii:
Show that .
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EXM.3.AHL.TZ0.5c.ii:
Hence, show that .
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EXM.3.AHL.TZ0.5g:
State geometrically what transformation the matrix represents.
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EXM.3.AHL.TZ0.5b:
Show that the matrix equation is equivalent to the Cartesian equation .
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EXM.3.AHL.TZ0.5f:
Find the Cartesian equation satisfied by and and state the geometric shape that this curve represents.
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EXM.3.AHL.TZ0.5c.i:
Show that and are unit eigenvectors and that they correspond to different eigenvalues.
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EXM.3.AHL.TZ0.5h.ii:
the curve in and in part (b).
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EXM.3.AHL.TZ0.5i:
Write down the equations of two lines of symmetry for the curve in and in part (b).
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EXM.3.AHL.TZ0.5a:
Find the eigenvalues for . For each eigenvalue find the set of associated eigenvectors.
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EXM.3.AHL.TZ0.5d.i:
Find matrix R.
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EXM.3.AHL.TZ0.5e.i:
Verify that .
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22M.2.AHL.TZ2.5b:
Find the eigenvalues of .
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22M.2.AHL.TZ2.5c:
Find the eigenvectors of .
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22M.2.AHL.TZ2.7b:
Find the eigenvalues of the system of coupled first order equations given in part (a).
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EXM.1.AHL.TZ0.42:
Given the matrix A = find the values of the real number for which where
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EXM.1.AHL.TZ0.47:
Given that A = and I = , find the values of for which (A – I) is a singular matrix.
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EXM.2.AHL.TZ0.23b.i:
Find the value of and of .
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EXM.2.AHL.TZ0.23b.iii:
Use the result from part (b) (ii) to explain why A is non-singular.
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EXM.2.AHL.TZ0.23c:
Use the values from part (b) (i) to express A4 in the form A+ I where , .
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EXM.2.AHL.TZ0.23a:
Find the values of for which the matrix (A − I) is singular.
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EXM.2.AHL.TZ0.23b.ii:
Hence show that I = A (6I – A).
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19M.1.AHL.TZ0.F_3a.i:
Show that the eigenvalues of A are real if .
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19M.1.AHL.TZ0.F_3a.ii:
Deduce that the eigenvalues are real if A is symmetric.
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19M.1.AHL.TZ0.F_3b.i:
Determine the eigenvalues of B.
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19M.1.AHL.TZ0.F_3b.ii:
Determine the corresponding eigenvectors.