Resources & Downloads
Downloadable SVG assets, LaTeX snippets, reference materials, and external learning resources to help you master the binomial theorem.
π¦ Downloadable SVG Assets
All SVG files are vector graphics that can be scaled to any size without quality loss. Perfect for presentations, posters, and educational materials.
π Pascal's Triangle
Complete triangle showing rows 0-8 with binomial coefficients.
Download SVGπ Binomial Expansion
Visual representation of (x+y)β΄ expansion with all terms.
Download SVGπ’ Combination Diagram
Visual explanation of choosing k items from n.
Download SVGπ Induction Steps
Diagram of mathematical induction proof structure.
Download SVGπ Binomial Distribution
Probability mass function visualization for different n and p.
Download SVGπ LaTeX Snippets
Copy these LaTeX snippets for use in academic papers, presentations, or typesetting. All snippets are ready to use in Overleaf, TeX editors, or markdown with math support.
% === Binomial Theorem ===
\( (x + y)^n = \sum_{k=0}^{n} \binom{n}{k} x^{n-k} y^k \)
% === Binomial Coefficient ===
\( \binom{n}{k} = \frac{n!}{k!(n-k)!} \)
% === Alternative Notation ===
\( {n \choose k} = \frac{n \cdot (n-1) \cdots (n-k+1)}{k!} \)
% === Pascal's Identity ===
\( \binom{n+1}{k} = \binom{n}{k} + \binom{n}{k-1} \)
% === Vandermonde's Identity ===
\( \sum_{k=0}^{r} \binom{m}{k} \binom{n}{r-k} = \binom{m+n}{r} \)
% === Binomial Distribution PMF ===
\( P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \)
% === General Binomial Series ===
\( (1 + x)^\alpha = \sum_{k=0}^{\infty} \binom{\alpha}{k} x^k \)
π‘ LaTeX Tips
- For inline math, use
\( ... \)or$ ... $ - For display math, use
\[ ... \]or$$ ... $$ - Use
\binom{n}{k}for binomial coefficients (recommended) - For large displays, consider using the
amsmathpackage
π Quick Reference Cards
Printable reference cards for study and teaching.
Pascal's Triangle (Rows 0-8)
0: 1
1: 1 1
2: 1 2 1
3: 1 3 3 1
4: 1 4 6 4 1
5: 1 5 10 10 5 1
6: 1 6 15 20 15 6 1
7: 1 7 21 35 35 21 7 1
8: 1 8 28 56 70 56 28 8 1
Key Formulas
C(n,k) = n! / (k!(nβk)!)
C(n,k) = C(n,nβk) [symmetry]
Ξ£ C(n,k) = 2βΏ
Ξ£ kΒ·C(n,k) = nΒ·2βΏβ»ΒΉ
Ξ£ (β1)α΅C(n,k) = 0 (n>0)
Common Values C(n,k)
C(5,0) = 1 | C(5,1) = 5 | C(5,2) = 10
C(5,3) = 10 | C(5,4) = 5 | C(5,5) = 1
C(10,5) = 252
C(20,10) = 184,756
C(n,1) = n | C(n,nβ1) = n
π External Learning Resources
Recommended textbooks, online courses, and reference materials for deeper study of the binomial theorem and combinatorics.
Textbook References
- Concrete Mathematics (Graham, Knuth, Patashnik)
- Enumerative Combinatorics, Vol. 1 (Richard Stanley)
- A Walk Through Combinatorics (MiklΓ³s BΓ³na)
- Introduction to Probability (Blitzstein & Hwang)
Online Resources
- Wikipedia: Binomial Theorem
- Khan Academy: Algebra II
- 3Blue1Brown: Visual explanations
- Math Stack Exchange: Q&A community
Related Topics
- Multinomial Theorem
- Generating Functions
- Negative Binomial Distribution
- Poisson Approximation
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// For external images from Wikimedia Commons "Pascal's Triangle" β Image source: Wikimedia Commons, CC BY-SA 4.0 β https://commons.wikimedia.org/wiki/File:... // For Wikipedia content Content adapted from Wikipedia's "Binomial theorem" article, licensed under CC BY-SA 4.0 β https://en.wikipedia.org/wiki/Binomial_theorem
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