ArticleslgStudy

mathematics

K-convex function

K-convex function is a mathematics 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 K-convex function rather than just read about it. In short: K-convex functions, first introduced by Scarf, are a special weakening of the concept of convex function which is crucial in the proof of the optimality of the ( s , S ) {\displaystyle (s,S)} policy in inventory control theory. The policy is characterized by two numbers s and S, S ≥ s {\displaystyle S\geq s} , such that when the inventory level falls below level s, an order is issued for a quantity that brings the i…

Key takeaways

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

Reference excerpt

K-convex functions, first introduced by Scarf, are a special weakening of the concept of convex function which is crucial in the proof of the optimality of the ( s , S ) {\displaystyle (s,S)} policy in inventory control theory. The policy is characterized by two numbers s and S, S ≥ s {\displaystyle S\geq s} , such that when the inventory level falls below level s, an order is issued for a quantity that brings the inventory up to level S, and nothing is ordered otherwise. Gallego and Sethi have generalized the concept of K-convexity to higher dimensional Euclidean spaces.

Definition Two equivalent definitions are as follows:

Definition 1 (The original definition) Let K be a non-negative real number. A function g : R → R {\displaystyle g:\mathbb {R} \rightarrow \mathbb {R} } is K-convex if

g ( u ) + z [ g ( u ) − g ( u − b ) b ] ≤ g ( u + z ) + K {\displaystyle g(u)+z\left[{\frac {g(u)-g(u-b)}{b}}\right]\leq g(u+z)+K}

for any u , z ≥ 0 , {\displaystyle u,z\geq 0,} and b > 0 {\displaystyle b>0} .

Definition 2 (Definition with geometric interpretation) A function g : R → R {\displaystyle g:\mathbb {R} \rightarrow \mathbb {R} } is K-convex if

g ( λ x + λ ¯ y ) ≤ λ g ( x ) + λ ¯ [ g ( y ) + K ] {\displaystyle g(\lambda x+{\bar {\lambda }}y)\leq \lambda g(x)+{\bar {\lambda }}[g(y)+K]}

for all x ≤ y , λ ∈ [ 0 , 1 ] {\displaystyle x\leq y,\lambda \in [0,1]} , where λ ¯ = 1 − λ {\displaystyle {\bar {\lambda }}=1-\lambda } . This definition admits a simple geometric interpretation related to the concept of visibility. Let a ≥ 0 {\displaystyle a\geq 0} . A point ( x , f ( x ) ) {\displaystyle (x,f(x))} is said to be visible from ( y , f ( y ) + a ) {\displaystyle (y,f(y)+a)} if all intermediate points ( λ x + λ ¯ y , f ( λ x + λ ¯ y ) ) , 0 ≤ λ ≤ 1 {\displaystyle (\lambda x+{\bar {\lambda }}y,f(\lambda x+{\bar {\lambda }}y)),0\leq \lambda \leq 1} lie below the line segment joining these two points. Then the geometric characterization of K-convexity can be obtain as:

A function g {\displaystyle g} is K-convex if and only if ( x , g ( x ) ) {\displaystyle (x,g(x))} is visible from ( y , g ( y ) + K ) {\displaystyle (y,g(y)+K)} for all y ≥ x {\displaystyle y\geq x} .

Proof of equivalence It is sufficient to prove that the above definitions can be transformed to each other. This can be seen by using the transformation

λ = z / ( b + z ) , x = u − b , y = u + z . {\displaystyle \lambda =z/(b+z),\quad x=u-b,\quad y=u+z.}

Properties

Property 1 If g : R → R {\displaystyle g:\mathbb {R} \rightarrow \mathbb {R} } is K-convex, then it is L-convex for any L ≥ K {\displaystyle L\geq K} . In particular, if g {\displaystyle g} is convex, then it is also K-convex for any K ≥ 0 {\displaystyle K\geq 0} .

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with K-convex function

Start with the simplest possible case. Write down what K-convex function claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 K-convex function 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 K-convex function 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 K-convex function

In research
K-convex function appears in mathematics 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 K-convex function 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
K-convex function is common in secondary-school and first-year university syllabi. It links to neighbouring topics Convex analysis, Types of functions, so understanding it makes those chapters shorter.
In everyday life
Look for K-convex function 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “K-convex function” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study K-convex function in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what K-convex function 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 K-convex function out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is K-convex function in simple terms?

K-convex functions, first introduced by Scarf, are a special weakening of the concept of convex function which is crucial in the proof of the optimality of the ( s , S ) {\displaystyle (s,S)} policy in inventory control theory. The policy is characterized by two numbers s and S, S ≥ s {\displaystyl…

Why does K-convex function matter?

Because it connects several mathematics 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 K-convex function?

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 K-convex function.

Tags

  • Convex analysis
  • Types of functions

Keep exploring