Phase Portrait
About points...
We associate a certain number of points with each exercise.
When you click an exercise into a collection, this number will be taken as points for the exercise, kind of "by default".
But once the exercise is on the collection, you can edit the number of points for the exercise in the collection independently, without any effect on "points by default" as represented by the number here.
That being said... How many "default points" should you associate with an exercise upon creation?
As with difficulty, there is no straight forward and generally accepted way.
But as a guideline, we tend to give as many points by default as there are mathematical steps to do in the exercise.
Again, very vague... But the number should kind of represent the "work" required.
When you click an exercise into a collection, this number will be taken as points for the exercise, kind of "by default".
But once the exercise is on the collection, you can edit the number of points for the exercise in the collection independently, without any effect on "points by default" as represented by the number here.
That being said... How many "default points" should you associate with an exercise upon creation?
As with difficulty, there is no straight forward and generally accepted way.
But as a guideline, we tend to give as many points by default as there are mathematical steps to do in the exercise.
Again, very vague... But the number should kind of represent the "work" required.
About difficulty...
We associate a certain difficulty with each exercise.
When you click an exercise into a collection, this number will be taken as difficulty for the exercise, kind of "by default".
But once the exercise is on the collection, you can edit its difficulty in the collection independently, without any effect on the "difficulty by default" here.
Why we use chess pieces? Well... we like chess, we like playing around with \(\LaTeX\)-fonts, we wanted symbols that need less space than six stars in a table-column... But in your layouts, you are of course free to indicate the difficulty of the exercise the way you want.
That being said... How "difficult" is an exercise? It depends on many factors, like what was being taught etc.
In physics exercises, we try to follow this pattern:
Level 1 - One formula (one you would find in a reference book) is enough to solve the exercise. Example exercise
Level 2 - Two formulas are needed, it's possible to compute an "in-between" solution, i.e. no algebraic equation needed. Example exercise
Level 3 - "Chain-computations" like on level 2, but 3+ calculations. Still, no equations, i.e. you are not forced to solve it in an algebraic manner. Example exercise
Level 4 - Exercise needs to be solved by algebraic equations, not possible to calculate numerical "in-between" results. Example exercise
Level 5 -
Level 6 -
When you click an exercise into a collection, this number will be taken as difficulty for the exercise, kind of "by default".
But once the exercise is on the collection, you can edit its difficulty in the collection independently, without any effect on the "difficulty by default" here.
Why we use chess pieces? Well... we like chess, we like playing around with \(\LaTeX\)-fonts, we wanted symbols that need less space than six stars in a table-column... But in your layouts, you are of course free to indicate the difficulty of the exercise the way you want.
That being said... How "difficult" is an exercise? It depends on many factors, like what was being taught etc.
In physics exercises, we try to follow this pattern:
Level 1 - One formula (one you would find in a reference book) is enough to solve the exercise. Example exercise
Level 2 - Two formulas are needed, it's possible to compute an "in-between" solution, i.e. no algebraic equation needed. Example exercise
Level 3 - "Chain-computations" like on level 2, but 3+ calculations. Still, no equations, i.e. you are not forced to solve it in an algebraic manner. Example exercise
Level 4 - Exercise needs to be solved by algebraic equations, not possible to calculate numerical "in-between" results. Example exercise
Level 5 -
Level 6 -
Question
Solution
Short
Video
\(\LaTeX\)
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Exercise:
The eigenvalues for a system of linear differential s are lambda_ and lambda_-. The figure shows the straight-line solutions textcircled and textcircled for this system. center includegraphicswidth.mm#image_path:phasportrait-# center abcliste abc Assign the straight-line solutions to the eigenvalues lambda_ and lambda_. Give a short reason for your solution. hfill abc Determine the eigenvectors from the diagram. hfill abc Sketch the orbits including direction for solutions starting at pos A to E. hfill abc Bonus question: Derive the coefficient matrix from the eigenvalues and eigenvectors. hfill abcliste
Solution:
abcliste abc The origin is a saddle po. The straight-line solution textcircled corresponds to the unstable part of the solution i.e. it is the eigenvector for the positive eigenvalue lambda_. The straight-line solution textcircled corresponds to the stable part of the solution i.e. it is the eigenvector for the negative eigenvalue lambda_. abc vec v_ pmatrix pmatrix vec v_ pmatrix pmatrix abc The phase portrait below displays the orbits starting at pos A to E: center includegraphicswidth.mm#image_path:phasportrait-solution-# center abc The coefficient matrix has to fulfil the conditions bf M vec v_ lambda_ vec v_ The matrix elements a b c and d are therefore given by pmatrix a & b c & d pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix &quad textrmand pmatrix a & b c & d pmatrix pmatrix pmatrix - pmatrix pmatrix pmatrix - - pmatrix This leads to the following system of simultaneous s: a+b labeleqn: c+d a+b - c+d - Subtracting the third from three times the first yields b-b + Longrightarrow b Longrightarrow bfrac Longrightarrow a -bfrac-frac-frac In the same way we find the matrix elements c and d. The coefficient matrix is bf M pmatrix -frac & frac -frac & frac pmatrix abcliste
The eigenvalues for a system of linear differential s are lambda_ and lambda_-. The figure shows the straight-line solutions textcircled and textcircled for this system. center includegraphicswidth.mm#image_path:phasportrait-# center abcliste abc Assign the straight-line solutions to the eigenvalues lambda_ and lambda_. Give a short reason for your solution. hfill abc Determine the eigenvectors from the diagram. hfill abc Sketch the orbits including direction for solutions starting at pos A to E. hfill abc Bonus question: Derive the coefficient matrix from the eigenvalues and eigenvectors. hfill abcliste
Solution:
abcliste abc The origin is a saddle po. The straight-line solution textcircled corresponds to the unstable part of the solution i.e. it is the eigenvector for the positive eigenvalue lambda_. The straight-line solution textcircled corresponds to the stable part of the solution i.e. it is the eigenvector for the negative eigenvalue lambda_. abc vec v_ pmatrix pmatrix vec v_ pmatrix pmatrix abc The phase portrait below displays the orbits starting at pos A to E: center includegraphicswidth.mm#image_path:phasportrait-solution-# center abc The coefficient matrix has to fulfil the conditions bf M vec v_ lambda_ vec v_ The matrix elements a b c and d are therefore given by pmatrix a & b c & d pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix &quad textrmand pmatrix a & b c & d pmatrix pmatrix pmatrix - pmatrix pmatrix pmatrix - - pmatrix This leads to the following system of simultaneous s: a+b labeleqn: c+d a+b - c+d - Subtracting the third from three times the first yields b-b + Longrightarrow b Longrightarrow bfrac Longrightarrow a -bfrac-frac-frac In the same way we find the matrix elements c and d. The coefficient matrix is bf M pmatrix -frac & frac -frac & frac pmatrix abcliste
Meta Information
Exercise:
The eigenvalues for a system of linear differential s are lambda_ and lambda_-. The figure shows the straight-line solutions textcircled and textcircled for this system. center includegraphicswidth.mm#image_path:phasportrait-# center abcliste abc Assign the straight-line solutions to the eigenvalues lambda_ and lambda_. Give a short reason for your solution. hfill abc Determine the eigenvectors from the diagram. hfill abc Sketch the orbits including direction for solutions starting at pos A to E. hfill abc Bonus question: Derive the coefficient matrix from the eigenvalues and eigenvectors. hfill abcliste
Solution:
abcliste abc The origin is a saddle po. The straight-line solution textcircled corresponds to the unstable part of the solution i.e. it is the eigenvector for the positive eigenvalue lambda_. The straight-line solution textcircled corresponds to the stable part of the solution i.e. it is the eigenvector for the negative eigenvalue lambda_. abc vec v_ pmatrix pmatrix vec v_ pmatrix pmatrix abc The phase portrait below displays the orbits starting at pos A to E: center includegraphicswidth.mm#image_path:phasportrait-solution-# center abc The coefficient matrix has to fulfil the conditions bf M vec v_ lambda_ vec v_ The matrix elements a b c and d are therefore given by pmatrix a & b c & d pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix &quad textrmand pmatrix a & b c & d pmatrix pmatrix pmatrix - pmatrix pmatrix pmatrix - - pmatrix This leads to the following system of simultaneous s: a+b labeleqn: c+d a+b - c+d - Subtracting the third from three times the first yields b-b + Longrightarrow b Longrightarrow bfrac Longrightarrow a -bfrac-frac-frac In the same way we find the matrix elements c and d. The coefficient matrix is bf M pmatrix -frac & frac -frac & frac pmatrix abcliste
The eigenvalues for a system of linear differential s are lambda_ and lambda_-. The figure shows the straight-line solutions textcircled and textcircled for this system. center includegraphicswidth.mm#image_path:phasportrait-# center abcliste abc Assign the straight-line solutions to the eigenvalues lambda_ and lambda_. Give a short reason for your solution. hfill abc Determine the eigenvectors from the diagram. hfill abc Sketch the orbits including direction for solutions starting at pos A to E. hfill abc Bonus question: Derive the coefficient matrix from the eigenvalues and eigenvectors. hfill abcliste
Solution:
abcliste abc The origin is a saddle po. The straight-line solution textcircled corresponds to the unstable part of the solution i.e. it is the eigenvector for the positive eigenvalue lambda_. The straight-line solution textcircled corresponds to the stable part of the solution i.e. it is the eigenvector for the negative eigenvalue lambda_. abc vec v_ pmatrix pmatrix vec v_ pmatrix pmatrix abc The phase portrait below displays the orbits starting at pos A to E: center includegraphicswidth.mm#image_path:phasportrait-solution-# center abc The coefficient matrix has to fulfil the conditions bf M vec v_ lambda_ vec v_ The matrix elements a b c and d are therefore given by pmatrix a & b c & d pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix pmatrix &quad textrmand pmatrix a & b c & d pmatrix pmatrix pmatrix - pmatrix pmatrix pmatrix - - pmatrix This leads to the following system of simultaneous s: a+b labeleqn: c+d a+b - c+d - Subtracting the third from three times the first yields b-b + Longrightarrow b Longrightarrow bfrac Longrightarrow a -bfrac-frac-frac In the same way we find the matrix elements c and d. The coefficient matrix is bf M pmatrix -frac & frac -frac & frac pmatrix abcliste
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