maths.free › Discrete Math & Logic › Sums and induction

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.

Contoh soal · sum of k for k = 1 to n

Sum k for k = 1 to n

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

Langkah demi langkah

  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).

Tampilkan jawaban
\frac{n \left(n + 1\right)}{2}

Sekarang Anda Pilih soal, atau ketik atau gambar soal Anda sendiri. Setiap langkah, sebuah gambar, jawabannya tersembunyi sampai Anda memintanya.

Simpan pekerjaan Anda sendiri

Sebuah akun gratis menambahkan catatan pada setiap pelajaran, catatan apa yang telah Anda selesaikan, masalah yang Anda selesaikan di satu tempat, dan tutor yang dapat Anda tanyakan tentang halaman ini. matematika itu sendiri terbuka untuk semua orang, ditandatangani atau tidak.

Daftar Masuk

Simbol yang digunakan di sini

Sentuh simbol apapun untuk definisi lengkap, gambar, dan apa setiap huruf di dalamnya berarti.

Bagaimana: Sums and induction

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

Pertanyaan yang sering diajukan

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.

Lainnya di Discrete Math & Logic