Uniqueness of the determinant
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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
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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 -
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Exercise:
Show that the determinant is unique.
Solution:
Let D:M_ntimes nKlongrightarrow K be an n-linear alternating function. Let A pmatrix hdots & alpha_ & hdots hdots & vdots & hdots hdots & alpha_n & hdots pmatrix in M_ntimes nK. Denote I pmatrix & hdots & hdots & vdots & hdots & hdots & pmatrix pmatrix hdots & epsilon_ & hdots hdots & vdots & hdots hdots & epsilon_n & hdots pmatrix so epsilon_...epsilon_n is the standard basis K_textrow^n. Clearly alpha_i_j^n Aijepsilon_j leq ileq n. Longrightarrow DADalpha_...alpha_nDleft_j^n Ajepsilon_j alpha_...alpha_n right left_j^n Aj Depsilon_jalpha_...alpha_n right left_j^n Aj Depsilon_j_k^n Ak epsilon_k...alpha_n right left_jk Aj Ak epsilon_jepsilon_k...alpha_n right ... _k_...k_nAk_ Ak_... Ank_n Depsilon_k_epsilon_k_...epsilon_k_n where each of the indices k_...k_n runs between and n. So far we haven't used the fact that D is alternating. Now since D is alternating Depsilon_k_...epsilon_k_n whenever two of the indices k_...k_n are equal. So we are erested only in ordered ! sequences k_...k_n in which k_iin ...n forall i and forall k_ineq k_j forall ineq j. Such a sequence is called a permutation of ...n or a permutation of degree n. Alternatively we can think of a permutation of degree n as a bijective function sigma :...nlongrightarrow ...n. Then the sequence k_...k_nsigma sigma ...sigma n is a permutation as defined earlier. Notation sigma i : sigmai. In other words: a permutation of deg n is a rordering of a list of n elements ...nlongrightarrow sigma ...sigma n. We can rewrite as: DA _sigmaAsigma Asigma ... Ansigma nDepsilon_sigma epsilon_sigma ...epsilon_sigma n where sigma runs over all permutations of degree n.
Show that the determinant is unique.
Solution:
Let D:M_ntimes nKlongrightarrow K be an n-linear alternating function. Let A pmatrix hdots & alpha_ & hdots hdots & vdots & hdots hdots & alpha_n & hdots pmatrix in M_ntimes nK. Denote I pmatrix & hdots & hdots & vdots & hdots & hdots & pmatrix pmatrix hdots & epsilon_ & hdots hdots & vdots & hdots hdots & epsilon_n & hdots pmatrix so epsilon_...epsilon_n is the standard basis K_textrow^n. Clearly alpha_i_j^n Aijepsilon_j leq ileq n. Longrightarrow DADalpha_...alpha_nDleft_j^n Ajepsilon_j alpha_...alpha_n right left_j^n Aj Depsilon_jalpha_...alpha_n right left_j^n Aj Depsilon_j_k^n Ak epsilon_k...alpha_n right left_jk Aj Ak epsilon_jepsilon_k...alpha_n right ... _k_...k_nAk_ Ak_... Ank_n Depsilon_k_epsilon_k_...epsilon_k_n where each of the indices k_...k_n runs between and n. So far we haven't used the fact that D is alternating. Now since D is alternating Depsilon_k_...epsilon_k_n whenever two of the indices k_...k_n are equal. So we are erested only in ordered ! sequences k_...k_n in which k_iin ...n forall i and forall k_ineq k_j forall ineq j. Such a sequence is called a permutation of ...n or a permutation of degree n. Alternatively we can think of a permutation of degree n as a bijective function sigma :...nlongrightarrow ...n. Then the sequence k_...k_nsigma sigma ...sigma n is a permutation as defined earlier. Notation sigma i : sigmai. In other words: a permutation of deg n is a rordering of a list of n elements ...nlongrightarrow sigma ...sigma n. We can rewrite as: DA _sigmaAsigma Asigma ... Ansigma nDepsilon_sigma epsilon_sigma ...epsilon_sigma n where sigma runs over all permutations of degree n.
Meta Information
Exercise:
Show that the determinant is unique.
Solution:
Let D:M_ntimes nKlongrightarrow K be an n-linear alternating function. Let A pmatrix hdots & alpha_ & hdots hdots & vdots & hdots hdots & alpha_n & hdots pmatrix in M_ntimes nK. Denote I pmatrix & hdots & hdots & vdots & hdots & hdots & pmatrix pmatrix hdots & epsilon_ & hdots hdots & vdots & hdots hdots & epsilon_n & hdots pmatrix so epsilon_...epsilon_n is the standard basis K_textrow^n. Clearly alpha_i_j^n Aijepsilon_j leq ileq n. Longrightarrow DADalpha_...alpha_nDleft_j^n Ajepsilon_j alpha_...alpha_n right left_j^n Aj Depsilon_jalpha_...alpha_n right left_j^n Aj Depsilon_j_k^n Ak epsilon_k...alpha_n right left_jk Aj Ak epsilon_jepsilon_k...alpha_n right ... _k_...k_nAk_ Ak_... Ank_n Depsilon_k_epsilon_k_...epsilon_k_n where each of the indices k_...k_n runs between and n. So far we haven't used the fact that D is alternating. Now since D is alternating Depsilon_k_...epsilon_k_n whenever two of the indices k_...k_n are equal. So we are erested only in ordered ! sequences k_...k_n in which k_iin ...n forall i and forall k_ineq k_j forall ineq j. Such a sequence is called a permutation of ...n or a permutation of degree n. Alternatively we can think of a permutation of degree n as a bijective function sigma :...nlongrightarrow ...n. Then the sequence k_...k_nsigma sigma ...sigma n is a permutation as defined earlier. Notation sigma i : sigmai. In other words: a permutation of deg n is a rordering of a list of n elements ...nlongrightarrow sigma ...sigma n. We can rewrite as: DA _sigmaAsigma Asigma ... Ansigma nDepsilon_sigma epsilon_sigma ...epsilon_sigma n where sigma runs over all permutations of degree n.
Show that the determinant is unique.
Solution:
Let D:M_ntimes nKlongrightarrow K be an n-linear alternating function. Let A pmatrix hdots & alpha_ & hdots hdots & vdots & hdots hdots & alpha_n & hdots pmatrix in M_ntimes nK. Denote I pmatrix & hdots & hdots & vdots & hdots & hdots & pmatrix pmatrix hdots & epsilon_ & hdots hdots & vdots & hdots hdots & epsilon_n & hdots pmatrix so epsilon_...epsilon_n is the standard basis K_textrow^n. Clearly alpha_i_j^n Aijepsilon_j leq ileq n. Longrightarrow DADalpha_...alpha_nDleft_j^n Ajepsilon_j alpha_...alpha_n right left_j^n Aj Depsilon_jalpha_...alpha_n right left_j^n Aj Depsilon_j_k^n Ak epsilon_k...alpha_n right left_jk Aj Ak epsilon_jepsilon_k...alpha_n right ... _k_...k_nAk_ Ak_... Ank_n Depsilon_k_epsilon_k_...epsilon_k_n where each of the indices k_...k_n runs between and n. So far we haven't used the fact that D is alternating. Now since D is alternating Depsilon_k_...epsilon_k_n whenever two of the indices k_...k_n are equal. So we are erested only in ordered ! sequences k_...k_n in which k_iin ...n forall i and forall k_ineq k_j forall ineq j. Such a sequence is called a permutation of ...n or a permutation of degree n. Alternatively we can think of a permutation of degree n as a bijective function sigma :...nlongrightarrow ...n. Then the sequence k_...k_nsigma sigma ...sigma n is a permutation as defined earlier. Notation sigma i : sigmai. In other words: a permutation of deg n is a rordering of a list of n elements ...nlongrightarrow sigma ...sigma n. We can rewrite as: DA _sigmaAsigma Asigma ... Ansigma nDepsilon_sigma epsilon_sigma ...epsilon_sigma n where sigma runs over all permutations of degree n.
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