ArticleslgStudy

science

Zernike polynomials

Zernike polynomials 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 Zernike polynomials rather than just read about it. In short: In mathematics, the Zernike polynomials are a sequence of polynomials that are orthogonal on the unit disk. Named after optical physicist Frits Zernike, laureate of the 1953 Nobel Prize in Physics and the inventor of phase-contrast microscopy, they play important roles in various optics branches such as beam optics and imaging where they are used to describe optical aberrations.

Zernike polynomials — main illustration
Zernike polynomials — illustration

Key takeaways

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

Reference excerpt

In mathematics, the Zernike polynomials are a sequence of polynomials that are orthogonal on the unit disk. Named after optical physicist Frits Zernike, laureate of the 1953 Nobel Prize in Physics and the inventor of phase-contrast microscopy, they play important roles in various optics branches such as beam optics and imaging where they are used to describe optical aberrations.

Definitions There are even and odd Zernike polynomials. The even Zernike polynomials of radial degree n ≥ 0 {\displaystyle n\geq 0} and azimuthal degree l = m {\displaystyle l=m} with 0 ≤ m ≤ n {\displaystyle 0\leq m\leq n} are defined as

Z n m ( ρ , φ ) = R n m ( ρ ) cos ⁡ ( m φ ) {\displaystyle Z_{n}^{m}(\rho ,\varphi )=R_{n}^{m}(\rho )\,\cos(m\,\varphi )\!}

and are even function over the azimuthal angle φ {\displaystyle \varphi } . The odd Zernike polynomials with (negative) azimuthal degree l = − m {\displaystyle l=-m} , where 0 < m ≤ n {\displaystyle 0<m\leq n} , are defined as

Z n − m ( ρ , φ ) = R n m ( ρ ) sin ⁡ ( m φ ) {\displaystyle Z_{n}^{-m}(\rho ,\varphi )=R_{n}^{m}(\rho )\,\sin(m\,\varphi )\!}

and are odd function over the azimuthal angle φ {\displaystyle \varphi } . Here, ρ {\displaystyle \rho } is the radial distance 0 ≤ ρ ≤ 1 {\displaystyle 0\leq \rho \leq 1} , and R n m {\displaystyle R_{n}^{m}} are the radial polynomials defined below. The Zernike polynomials are sometimes represented in a way explicitly showing o (odd) and e (even): e U n m ( ρ , φ ) = Z n m ( ρ , φ ) = R n m ( ρ ) cos ⁡ ( m φ ) o U n m ( ρ , φ ) = Z n − m ( ρ , φ ) = R n m ( ρ ) sin ⁡ ( m φ ) {\displaystyle {\begin{array}{lcl}^{e}\,U_{n}^{m}(\rho ,\varphi )&=&Z_{n}^{m}(\rho ,\varphi )&=&R_{n}^{m}(\rho )\,\cos(m\,\varphi )\\^{o}\,U_{n}^{m}(\rho ,\varphi )&=&Z_{n}^{-m}(\rho ,\varphi )&=&R_{n}^{m}(\rho )\,\sin(m\,\varphi )\end{array}}} Zernike polynomials have the property of being limited to a range of −1 to +1 in the unit disk, i.e. | Z n m ( ρ , φ ) | ≤ 1 {\displaystyle |Z_{n}^{m}(\rho ,\varphi )|\leq 1} if ρ ≤ 1 {\displaystyle \rho \leq 1} . The radial polynomials R n m {\displaystyle R_{n}^{m}} are defined as

… excerpt ends here. Continue reading the full article.

Illustrations

Zernike polynomials: The first 21 Zernike polynomials 
  
    
      
        
          Z
          
            n
          
          
            l
          
        
        (
        ρ
        ,
        φ
        )
      
    
    {\displaystyle Z_{n}^{l}(\rho ,\varphi )}
  
, ordered vertically by radial degree 
  
    
      
        n
      
    
    {\displaystyle n}
  
 and horizontally by azimuthal degree 
  
    
      
        l
      
    
    {\displaystyle l}
The first 21 Zernike polynomials Z n l ( ρ , φ ) {\displaystyle Z_{n}^{l}(\rho ,\varphi )} , ordered vertically by radial degree n {\displaystyle n} and horizontally by azimuthal degree l {\displaystyle l}
Zernike polynomials: Three-dimensional representations of the first few Zernike modes
Three-dimensional representations of the first few Zernike modes
Zernike polynomials: Result of the first 21 Zernike polynomials (as above) introduced as aberrations on a flat-top beam. The beam is imaged by a lens, effecting a Fourier transform, whose intensity is represented in this picture
Result of the first 21 Zernike polynomials (as above) introduced as aberrations on a flat-top beam. The beam is imaged by a lens, effecting a Fourier transform, whose intensity is represented in this picture

Worked examples

Example 1 — a first encounter with Zernike polynomials

Start with the simplest possible case. Write down what Zernike polynomials 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 Zernike polynomials 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 Zernike polynomials 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 Zernike polynomials

In research
Zernike polynomials 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 Zernike polynomials 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
Zernike polynomials is common in secondary-school and first-year university syllabi. It links to neighbouring topics Orthogonal polynomials, so understanding it makes those chapters shorter.
In everyday life
Look for Zernike polynomials 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 “Zernike polynomials” →

Affiliate

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

How to study Zernike polynomials in 20 minutes

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

Frequently asked questions

What is Zernike polynomials in simple terms?

In mathematics, the Zernike polynomials are a sequence of polynomials that are orthogonal on the unit disk. Named after optical physicist Frits Zernike, laureate of the 1953 Nobel Prize in Physics and the inventor of phase-contrast microscopy, they play important roles in various optics branches su…

Why does Zernike polynomials 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 Zernike polynomials?

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 Zernike polynomials.

Tags

  • Orthogonal polynomials

Keep exploring