Konvergenz von monotonen Folgen
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:
Eine monotone reelle Folge a_n_n konvergiert genau dann wenn sie beschränkt ist. Falls die Folge a_n_n monoton wachs ist gilt lim limits_n rightarrow infty textsupa_n|n in mathbbN. Falls die Folge a_n_n monoton fall ist gilt lim limits_n rightarrow infty textinfa_n|n in mathbbN.
Solution:
Falls a_n_n konvergent ist ist a_n_n beschränkt nach Lemma .. Sei also a_n_n eine beschränkte reelle Folge. O.B.d.A. kann man annehmen dass a_n_n monoton wachs ist sonst einfach a_n_n durch -a_n_n ersetzen. Sei atextsupa_n|n in mathbbN. Dann existiert nach der Charakterisierung des Supremums Satz . für jedes epsilon ein N in mahtbbN mit a_N a-epsilon. Für n geq N folgt damit aus der Monotonie von a_n_n dass a-epsilon a_N leq a_n leq a a+epsilon was zu zeigen war.
Eine monotone reelle Folge a_n_n konvergiert genau dann wenn sie beschränkt ist. Falls die Folge a_n_n monoton wachs ist gilt lim limits_n rightarrow infty textsupa_n|n in mathbbN. Falls die Folge a_n_n monoton fall ist gilt lim limits_n rightarrow infty textinfa_n|n in mathbbN.
Solution:
Falls a_n_n konvergent ist ist a_n_n beschränkt nach Lemma .. Sei also a_n_n eine beschränkte reelle Folge. O.B.d.A. kann man annehmen dass a_n_n monoton wachs ist sonst einfach a_n_n durch -a_n_n ersetzen. Sei atextsupa_n|n in mathbbN. Dann existiert nach der Charakterisierung des Supremums Satz . für jedes epsilon ein N in mahtbbN mit a_N a-epsilon. Für n geq N folgt damit aus der Monotonie von a_n_n dass a-epsilon a_N leq a_n leq a a+epsilon was zu zeigen war.
Meta Information
Exercise:
Eine monotone reelle Folge a_n_n konvergiert genau dann wenn sie beschränkt ist. Falls die Folge a_n_n monoton wachs ist gilt lim limits_n rightarrow infty textsupa_n|n in mathbbN. Falls die Folge a_n_n monoton fall ist gilt lim limits_n rightarrow infty textinfa_n|n in mathbbN.
Solution:
Falls a_n_n konvergent ist ist a_n_n beschränkt nach Lemma .. Sei also a_n_n eine beschränkte reelle Folge. O.B.d.A. kann man annehmen dass a_n_n monoton wachs ist sonst einfach a_n_n durch -a_n_n ersetzen. Sei atextsupa_n|n in mathbbN. Dann existiert nach der Charakterisierung des Supremums Satz . für jedes epsilon ein N in mahtbbN mit a_N a-epsilon. Für n geq N folgt damit aus der Monotonie von a_n_n dass a-epsilon a_N leq a_n leq a a+epsilon was zu zeigen war.
Eine monotone reelle Folge a_n_n konvergiert genau dann wenn sie beschränkt ist. Falls die Folge a_n_n monoton wachs ist gilt lim limits_n rightarrow infty textsupa_n|n in mathbbN. Falls die Folge a_n_n monoton fall ist gilt lim limits_n rightarrow infty textinfa_n|n in mathbbN.
Solution:
Falls a_n_n konvergent ist ist a_n_n beschränkt nach Lemma .. Sei also a_n_n eine beschränkte reelle Folge. O.B.d.A. kann man annehmen dass a_n_n monoton wachs ist sonst einfach a_n_n durch -a_n_n ersetzen. Sei atextsupa_n|n in mathbbN. Dann existiert nach der Charakterisierung des Supremums Satz . für jedes epsilon ein N in mahtbbN mit a_N a-epsilon. Für n geq N folgt damit aus der Monotonie von a_n_n dass a-epsilon a_N leq a_n leq a a+epsilon was zu zeigen war.
Contained in these collections
| Title | Creator | Matched on |
|---|---|---|
| Majorantenkriterium von Weierstrass | rk | tags |
| Satz Bolzano-Weierstrass | rk | tags |
| Beschränktheit konvergenter Folgen | rk | tags |
| Additive und multiplakative Eigenschaften des Grenzwerts | rk | tags |
| Umordnen absolut konvergenter Reihen | rk | tags |

