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Sums and induction

Closed forms for sums, and how induction proves them.

Σ k = n(n+1)/2 is the formula Gauss found at school; Σ k² and Σ k³ have closed forms too. Induction proves them: check n = 1, then show that if the formula holds for n it holds for n + 1.

Намунаи коркардашуда · sum of k for k = 1 to n

Sum k for k = 1 to n

\sum_{k=1}^{n} k

Қадами ба қадам

  1. \sum_{k=1}^{n} k

    Write the sum out.

  2. 1 + 2 + 3 + 4 + \cdots

    The first few terms.

  3. = \frac{n \left(n + 1\right)}{2}

    Closed form (a standard summation formula, provable by induction).

Ҷавоби ҷавобро нишон диҳед
\frac{n \left(n + 1\right)}{2}

Ҳоло шумо Масъаларо интихоб кунед, ё ки онро навишта ё кашед. Ҳар қадам, тасвир, ҷавоб то он даме, ки шумо пурсед, пинҳон мешавад.

Кор кардан

Дар ҳисоби ройгон ба ҳар як дарс қайдҳо илова карда мешаванд, қайди он, ки шумо чӣ кор кардаед, масъалаҳои ҳалшуда дар як ҷо ва муаллиме, ки шумо метавонед дар бораи ин саҳифа пурсед. Математика барои ҳама кушода аст, хоҳ ворид шуда бошад ё на.

Бақайдгирӣ Ворид шудан

Символы, используемые здесь

Барои муайянкунии пурраи маъно, тасвир ва маънои ҳар як ҳарф дар он, ба ҳар як аломат пахш кунед.

Чӣ тавр: Sums and induction

  1. Write the sum out.
  2. The first few terms.
  3. Closed form (a standard summation formula, provable by induction).

Саволҳои маъмул

What makes mathematics "discrete"?

It deals with separate, countable objects (integers, graphs, statements) rather than continuous quantities. No limits, no infinitesimals; instead induction, counting and logic.

How does a proof by induction work?

Show the statement for the first case, then show that whenever it holds for n it holds for n + 1. Like dominoes: the first falls, and each knocks over the next.

What order should I take these lessons in?

Logic and proof first, because every later lesson proves things. Then induction, sets, relations and functions, counting, recurrences, graphs, Boolean algebra and automata, and finally algorithms and complexity, which use nearly everything before them.

Is discrete mathematics the same as the maths of computer science?

Largely. Data structures are graphs and trees, correctness arguments are induction, running times are recurrences and sums, circuits are Boolean algebra, and what a computer can do efficiently is the subject of the last lessons. It is also ordinary mathematics in its own right.

Do I need calculus for this course?

No. School algebra is enough. A little familiarity with limits helps when comparing growth rates, and the lesson on asymptotic analysis explains the one limit fact it uses.

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