Elementary row operations with matrix multiplication
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
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Exercise:
Let Ain M_ntimes pK. abcliste abc Multiplying A from the left with Q_ijalpha results in the row operation R_i+alpha R_j longrightarrow R_i: A xrightarrowR_i+alpha R_j rightarrow R_i Q_ijalpha A abc Multiplying A from the left with P_ij results in the row operation R_i longleftrightarrow R_j: A xrightarrowR_ilongleftrightarrow R_j P_ij A abc Multiplying A from the left with S_ialpha results in the row operation alpha R_i longrightarrow R_i: A xrightarrowalpha R_ilongrightarrow R_i S_ialpha A abcliste The same holds also for elementary column operations: abcliste abc Multiplying A from the right with Q_ijalpha results in the col operation c_j+alpha c_i longrightarrow c_j: A xrightarrowc_j+alpha c_i longrightarrow c_j A Q_ijalpha abc Multiplying A from the right with P_ij results in the col operation c_i longleftrightarrow c_j: A xrightarrowc_ilongleftrightarrow c_j A P_ij abc Multiplying A from the right with S_ialpha results in the col operation alpha c_i longrightarrow c_i: A xrightarrowalpha c_ilongrightarrow c_i A S_ialpha abcliste
Solution:
Proof. a to c can be proven by direct calculation a' to c' can be deduced by passing to the transposed matrix e.g. A Q_ijalpha^TQ_ijalpha^T A^T Q_jialpha A^T textmatrix obtained from A^T after applying to it R_j+alpha R_i longrightarrow R_j textmatrix obtained from A after c_j+alpha c_ilongrightarrow c_j^T Longrightarrow A Q_ijalphatextmatrix obtained from A after c_j+alpha c_i longrightarrow c_j b and c can be shown in a similar way.
Let Ain M_ntimes pK. abcliste abc Multiplying A from the left with Q_ijalpha results in the row operation R_i+alpha R_j longrightarrow R_i: A xrightarrowR_i+alpha R_j rightarrow R_i Q_ijalpha A abc Multiplying A from the left with P_ij results in the row operation R_i longleftrightarrow R_j: A xrightarrowR_ilongleftrightarrow R_j P_ij A abc Multiplying A from the left with S_ialpha results in the row operation alpha R_i longrightarrow R_i: A xrightarrowalpha R_ilongrightarrow R_i S_ialpha A abcliste The same holds also for elementary column operations: abcliste abc Multiplying A from the right with Q_ijalpha results in the col operation c_j+alpha c_i longrightarrow c_j: A xrightarrowc_j+alpha c_i longrightarrow c_j A Q_ijalpha abc Multiplying A from the right with P_ij results in the col operation c_i longleftrightarrow c_j: A xrightarrowc_ilongleftrightarrow c_j A P_ij abc Multiplying A from the right with S_ialpha results in the col operation alpha c_i longrightarrow c_i: A xrightarrowalpha c_ilongrightarrow c_i A S_ialpha abcliste
Solution:
Proof. a to c can be proven by direct calculation a' to c' can be deduced by passing to the transposed matrix e.g. A Q_ijalpha^TQ_ijalpha^T A^T Q_jialpha A^T textmatrix obtained from A^T after applying to it R_j+alpha R_i longrightarrow R_j textmatrix obtained from A after c_j+alpha c_ilongrightarrow c_j^T Longrightarrow A Q_ijalphatextmatrix obtained from A after c_j+alpha c_i longrightarrow c_j b and c can be shown in a similar way.
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Exercise:
Let Ain M_ntimes pK. abcliste abc Multiplying A from the left with Q_ijalpha results in the row operation R_i+alpha R_j longrightarrow R_i: A xrightarrowR_i+alpha R_j rightarrow R_i Q_ijalpha A abc Multiplying A from the left with P_ij results in the row operation R_i longleftrightarrow R_j: A xrightarrowR_ilongleftrightarrow R_j P_ij A abc Multiplying A from the left with S_ialpha results in the row operation alpha R_i longrightarrow R_i: A xrightarrowalpha R_ilongrightarrow R_i S_ialpha A abcliste The same holds also for elementary column operations: abcliste abc Multiplying A from the right with Q_ijalpha results in the col operation c_j+alpha c_i longrightarrow c_j: A xrightarrowc_j+alpha c_i longrightarrow c_j A Q_ijalpha abc Multiplying A from the right with P_ij results in the col operation c_i longleftrightarrow c_j: A xrightarrowc_ilongleftrightarrow c_j A P_ij abc Multiplying A from the right with S_ialpha results in the col operation alpha c_i longrightarrow c_i: A xrightarrowalpha c_ilongrightarrow c_i A S_ialpha abcliste
Solution:
Proof. a to c can be proven by direct calculation a' to c' can be deduced by passing to the transposed matrix e.g. A Q_ijalpha^TQ_ijalpha^T A^T Q_jialpha A^T textmatrix obtained from A^T after applying to it R_j+alpha R_i longrightarrow R_j textmatrix obtained from A after c_j+alpha c_ilongrightarrow c_j^T Longrightarrow A Q_ijalphatextmatrix obtained from A after c_j+alpha c_i longrightarrow c_j b and c can be shown in a similar way.
Let Ain M_ntimes pK. abcliste abc Multiplying A from the left with Q_ijalpha results in the row operation R_i+alpha R_j longrightarrow R_i: A xrightarrowR_i+alpha R_j rightarrow R_i Q_ijalpha A abc Multiplying A from the left with P_ij results in the row operation R_i longleftrightarrow R_j: A xrightarrowR_ilongleftrightarrow R_j P_ij A abc Multiplying A from the left with S_ialpha results in the row operation alpha R_i longrightarrow R_i: A xrightarrowalpha R_ilongrightarrow R_i S_ialpha A abcliste The same holds also for elementary column operations: abcliste abc Multiplying A from the right with Q_ijalpha results in the col operation c_j+alpha c_i longrightarrow c_j: A xrightarrowc_j+alpha c_i longrightarrow c_j A Q_ijalpha abc Multiplying A from the right with P_ij results in the col operation c_i longleftrightarrow c_j: A xrightarrowc_ilongleftrightarrow c_j A P_ij abc Multiplying A from the right with S_ialpha results in the col operation alpha c_i longrightarrow c_i: A xrightarrowalpha c_ilongrightarrow c_i A S_ialpha abcliste
Solution:
Proof. a to c can be proven by direct calculation a' to c' can be deduced by passing to the transposed matrix e.g. A Q_ijalpha^TQ_ijalpha^T A^T Q_jialpha A^T textmatrix obtained from A^T after applying to it R_j+alpha R_i longrightarrow R_j textmatrix obtained from A after c_j+alpha c_ilongrightarrow c_j^T Longrightarrow A Q_ijalphatextmatrix obtained from A after c_j+alpha c_i longrightarrow c_j b and c can be shown in a similar way.
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