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Hook length formula

Hook length formula is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hook length formula rather than just read about it. In short: In combinatorial mathematics, the hook length formula is a formula for the number of standard Young tableaux whose shape is a given Young diagram. It has applications in diverse areas such as representation theory, probability, and algorithm analysis; for example, the problem of longest increasing subsequences.

Hook length formula — main illustration
Hook length formula — illustration

Key takeaways

  • Hook length formula belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Hook length formula to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hook length formula from memory before moving on to harder problems.

Reference excerpt

In combinatorial mathematics, the hook length formula is a formula for the number of standard Young tableaux whose shape is a given Young diagram. It has applications in diverse areas such as representation theory, probability, and algorithm analysis; for example, the problem of longest increasing subsequences. A related formula gives the number of semi-standard Young tableaux, which is a specialization of a Schur polynomial.

Definitions and statement Let λ = ( λ 1 ≥ ⋯ ≥ λ k ) {\displaystyle \lambda =(\lambda _{1}\geq \cdots \geq \lambda _{k})} be a partition of n = λ 1 + ⋯ + λ k {\displaystyle n=\lambda _{1}+\cdots +\lambda _{k}} . It is customary to interpret λ {\displaystyle \lambda } graphically as a Young diagram, namely a left-justified array of square cells with k {\displaystyle k} rows of lengths λ 1 , … , λ k {\displaystyle \lambda _{1},\ldots ,\lambda _{k}} . A (standard) Young tableau of shape λ {\displaystyle \lambda } is a filling of the n {\displaystyle n} cells of the Young diagram with all the integers { 1 , … , n } {\displaystyle \{1,\ldots ,n\}} , with no repetition, such that each row and each column form increasing sequences. For the cell in position ( i , j ) {\displaystyle (i,j)} , in the i {\displaystyle i} th row and j {\displaystyle j} th column, the hook H λ ( i , j ) {\displaystyle H_{\lambda }(i,j)} is the set of cells ( a , b ) {\displaystyle (a,b)} such that a = i {\displaystyle a=i} and b ≥ j {\displaystyle b\geq j} or a ≥ i {\displaystyle a\geq i} and b = j {\displaystyle b=j} . The hook length h λ ( i , j ) {\displaystyle h_{\lambda }(i,j)} is the number of cells in H λ ( i , j ) {\displaystyle H_{\lambda }(i,j)} . The hook length formula expresses the number of standard Young tableaux of shape λ {\displaystyle \lambda } , denoted by f λ {\displaystyle f^{\lambda }} or d λ {\displaystyle d_{\lambda }} , as

f λ = n ! ∏ h λ ( i , j ) , {\displaystyle f^{\lambda }={\frac {n!}{\prod h_{\lambda }(i,j)}},}

where the product is over all cells ( i , j ) {\displaystyle (i,j)} of the Young diagram.

Examples

The figure on the right shows hook lengths for the cells in the Young diagram λ = ( 4 , 3 , 1 , 1 ) {\displaystyle \lambda =(4,3,1,1)} , corresponding to the partition 9 = 4 + 3 + 1 + 1. The hook length formula gives the number of standard Young tableaux as:

f λ = 9 ! 7 ⋅ 5 ⋅ 4 ⋅ 3 ⋅ 2 ⋅ 2 ⋅ 1 ⋅ 1 ⋅ 1 = 216. {\displaystyle f^{\lambda }={\frac {9!}{7\cdot 5\cdot 4\cdot 3\cdot 2\cdot 2\cdot 1\cdot 1\cdot 1}}=216.}

… excerpt ends here. Continue reading the full article.

Illustrations

Hook length formula: Corners of the Young diagram (5,3,2,1,1)
Corners of the Young diagram (5,3,2,1,1)

Worked examples

Example 1 — a first encounter with Hook length formula

Start with the simplest possible case. Write down what Hook length formula claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hook length formula before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hook length formula ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hook length formula

In research
Hook length formula appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Hook length formula in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Hook length formula is common in secondary-school and first-year university syllabi. It links to neighbouring topics Combinatorics, so understanding it makes those chapters shorter.
In everyday life
Look for Hook length formula outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Hook length formula in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hook length formula means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Hook length formula out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hook length formula in simple terms?

In combinatorial mathematics, the hook length formula is a formula for the number of standard Young tableaux whose shape is a given Young diagram. It has applications in diverse areas such as representation theory, probability, and algorithm analysis; for example, the problem of longest increasing…

Why does Hook length formula matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hook length formula?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hook length formula.

Tags

  • Combinatorics

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