Basis and linear dependence
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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\(\LaTeX\)
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Exercise:
Let v_...v_min V be a list of vectors which is linearly depent. Then exists leq j leq m: abcliste abc v_jin Spv_...v_j- abc Spv_...v_j-v_j+...v_mSpv_...v_m abcliste In other words we cna drop one of the vectors from the list without changing the span.
Solution:
Proof. Since the list is linearly depent exists a_...a_min K not all of them s.t. a_v_+...+a_mv_m Define j:textmaxi|a_ineq i.e. a_jneq a_j+...a_m. Longrightarrow a_v_+...+a_jv_j Longrightarrow v_jfrac-a_a_jv_+...+frac-a_j-a_jv_j- textok because a_jneq This proves a. To see b let vin Spv_...v_m. Longrightarrow v c_v_+...+c_mv_mquad textfor some c_...c_min K We can substitute o this and obtain that v can be written as a linear combination of v_...v_j-v_j+...v_m. This proves that textSpv_...v_m subseteq textSpv_...v_j-v_j+...v_m Obviously we also have textSpv_...v_j-v_j...v_msubseteq textSpv_..v_m Longrightarrow Spv_...v_j-v_j+...v_mSpv_...v_m
Let v_...v_min V be a list of vectors which is linearly depent. Then exists leq j leq m: abcliste abc v_jin Spv_...v_j- abc Spv_...v_j-v_j+...v_mSpv_...v_m abcliste In other words we cna drop one of the vectors from the list without changing the span.
Solution:
Proof. Since the list is linearly depent exists a_...a_min K not all of them s.t. a_v_+...+a_mv_m Define j:textmaxi|a_ineq i.e. a_jneq a_j+...a_m. Longrightarrow a_v_+...+a_jv_j Longrightarrow v_jfrac-a_a_jv_+...+frac-a_j-a_jv_j- textok because a_jneq This proves a. To see b let vin Spv_...v_m. Longrightarrow v c_v_+...+c_mv_mquad textfor some c_...c_min K We can substitute o this and obtain that v can be written as a linear combination of v_...v_j-v_j+...v_m. This proves that textSpv_...v_m subseteq textSpv_...v_j-v_j+...v_m Obviously we also have textSpv_...v_j-v_j...v_msubseteq textSpv_..v_m Longrightarrow Spv_...v_j-v_j+...v_mSpv_...v_m
Meta Information
Exercise:
Let v_...v_min V be a list of vectors which is linearly depent. Then exists leq j leq m: abcliste abc v_jin Spv_...v_j- abc Spv_...v_j-v_j+...v_mSpv_...v_m abcliste In other words we cna drop one of the vectors from the list without changing the span.
Solution:
Proof. Since the list is linearly depent exists a_...a_min K not all of them s.t. a_v_+...+a_mv_m Define j:textmaxi|a_ineq i.e. a_jneq a_j+...a_m. Longrightarrow a_v_+...+a_jv_j Longrightarrow v_jfrac-a_a_jv_+...+frac-a_j-a_jv_j- textok because a_jneq This proves a. To see b let vin Spv_...v_m. Longrightarrow v c_v_+...+c_mv_mquad textfor some c_...c_min K We can substitute o this and obtain that v can be written as a linear combination of v_...v_j-v_j+...v_m. This proves that textSpv_...v_m subseteq textSpv_...v_j-v_j+...v_m Obviously we also have textSpv_...v_j-v_j...v_msubseteq textSpv_..v_m Longrightarrow Spv_...v_j-v_j+...v_mSpv_...v_m
Let v_...v_min V be a list of vectors which is linearly depent. Then exists leq j leq m: abcliste abc v_jin Spv_...v_j- abc Spv_...v_j-v_j+...v_mSpv_...v_m abcliste In other words we cna drop one of the vectors from the list without changing the span.
Solution:
Proof. Since the list is linearly depent exists a_...a_min K not all of them s.t. a_v_+...+a_mv_m Define j:textmaxi|a_ineq i.e. a_jneq a_j+...a_m. Longrightarrow a_v_+...+a_jv_j Longrightarrow v_jfrac-a_a_jv_+...+frac-a_j-a_jv_j- textok because a_jneq This proves a. To see b let vin Spv_...v_m. Longrightarrow v c_v_+...+c_mv_mquad textfor some c_...c_min K We can substitute o this and obtain that v can be written as a linear combination of v_...v_j-v_j+...v_m. This proves that textSpv_...v_m subseteq textSpv_...v_j-v_j+...v_m Obviously we also have textSpv_...v_j-v_j...v_msubseteq textSpv_..v_m Longrightarrow Spv_...v_j-v_j+...v_mSpv_...v_m
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