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Szász–Mirakyan operator

Szász–Mirakyan operator 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 Szász–Mirakyan operator rather than just read about it. In short: In functional analysis, a discipline within mathematics, the Szász–Mirakyan operators (also spelled "Mirakjan" and "Mirakian") are generalizations of Bernstein polynomials to infinite intervals, introduced by Otto Szász in 1950 and G. M.

Key takeaways

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

Reference excerpt

In functional analysis, a discipline within mathematics, the Szász–Mirakyan operators (also spelled "Mirakjan" and "Mirakian") are generalizations of Bernstein polynomials to infinite intervals, introduced by Otto Szász in 1950 and G. M. Mirakjan in 1941. They are defined by

[ S n ( f ) ] ( x ) := e − n x ∑ k = 0 ∞ ( n x ) k k ! f ( k n ) {\displaystyle \left[{\mathcal {S}}_{n}(f)\right](x):=e^{-nx}\sum _{k=0}^{\infty }{{\frac {(nx)^{k}}{k!}}f\left({\tfrac {k}{n}}\right)}}

where x ∈ [ 0 , ∞ ) ⊂ R {\displaystyle x\in [0,\infty )\subset \mathbb {R} } and n ∈ N {\displaystyle n\in \mathbb {N} } .

Basic results In 1964, Cheney and Sharma showed that if f {\displaystyle f} is convex and non-linear, the sequence ( S n ( f ) ) n ∈ N {\displaystyle ({\mathcal {S}}_{n}(f))_{n\in \mathbb {N} }} decreases with n {\displaystyle n} ( S n ( f ) ≥ f {\displaystyle {\mathcal {S}}_{n}(f)\geq f} ). They also showed that if f {\displaystyle f} is a polynomial of degree ≤ m {\displaystyle \leq m} , then so is S n ( f ) {\displaystyle {\mathcal {S}}_{n}(f)} for all n {\displaystyle n} . A converse of the first property was shown by Horová in 1968 (Altomare & Campiti 1994:350).

Theorem on convergence In Szász's original paper, he proved the following as Theorem 3 of his paper:

If f {\displaystyle f} is continuous on [ 0 , ∞ ) {\displaystyle [0,\infty )} , having a finite limit at infinity, then S n ( f ) {\displaystyle {\mathcal {S}}_{n}(f)} converges uniformly to f {\displaystyle f} as n → ∞ {\displaystyle n\rightarrow \infty } . This is analogous to a theorem stating that Bernstein polynomials approximate continuous functions on [0,1].

Generalizations A Kantorovich-type generalization is sometimes discussed in the literature. These generalizations are also called the Szász–Mirakjan–Kantorovich operators. In 1976, C. P. May showed that the Baskakov operators can reduce to the Szász–Mirakyan operators.

References

Footnotes

Worked examples

Example 1 — a first encounter with Szász–Mirakyan operator

Start with the simplest possible case. Write down what Szász–Mirakyan operator 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 Szász–Mirakyan operator 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 Szász–Mirakyan operator 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 Szász–Mirakyan operator

In research
Szász–Mirakyan operator 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 Szász–Mirakyan operator 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
Szász–Mirakyan operator is common in secondary-school and first-year university syllabi. It links to neighbouring topics Approximation theory, so understanding it makes those chapters shorter.
In everyday life
Look for Szász–Mirakyan operator 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 Szász–Mirakyan operator in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Szász–Mirakyan operator 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 Szász–Mirakyan operator out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Szász–Mirakyan operator in simple terms?

In functional analysis, a discipline within mathematics, the Szász–Mirakyan operators (also spelled "Mirakjan" and "Mirakian") are generalizations of Bernstein polynomials to infinite intervals, introduced by Otto Szász in 1950 and G. M.

Why does Szász–Mirakyan operator 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 Szász–Mirakyan operator?

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 Szász–Mirakyan operator.

Tags

  • Approximation theory

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