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Generalized mean

Generalized mean is a biology 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 Generalized mean rather than just read about it. In short: In mathematics, generalized means (or power mean or Hölder mean from Otto Hölder) are a family of functions for aggregating sets of numbers. These include as special cases the Pythagorean means (arithmetic, geometric, and harmonic means).

Generalized mean — main illustration
Generalized mean — illustration

Key takeaways

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

Reference excerpt

In mathematics, generalized means (or power mean or Hölder mean from Otto Hölder) are a family of functions for aggregating sets of numbers. These include as special cases the Pythagorean means (arithmetic, geometric, and harmonic means).

Definition If p is a non-zero real number, and x 1 , … , x n {\displaystyle x_{1},\dots ,x_{n}} are positive real numbers, then the generalized mean or power mean with exponent p of these positive real numbers is

M p ( x 1 , … , x n ) = ( 1 n ∑ i = 1 n x i p ) 1 / p . {\displaystyle M_{p}(x_{1},\dots ,x_{n})=\left({\frac {1}{n}}\sum _{i=1}^{n}x_{i}^{p}\right)^{{1}/{p}}.}

(See p-norm). For p = 0 we set it equal to the geometric mean (which is the limit of means with exponents approaching zero, as proved below):

M 0 ( x 1 , … , x n ) = ( ∏ i = 1 n x i ) 1 / n . {\displaystyle M_{0}(x_{1},\dots ,x_{n})=\left(\prod _{i=1}^{n}x_{i}\right)^{1/n}.}

Furthermore, for a sequence of positive weights wi we define the weighted power mean as

M p ( x 1 , … , x n ) = ( ∑ i = 1 n w i x i p ∑ i = 1 n w i ) 1 / p {\displaystyle M_{p}(x_{1},\dots ,x_{n})=\left({\frac {\sum _{i=1}^{n}w_{i}x_{i}^{p}}{\sum _{i=1}^{n}w_{i}}}\right)^{{1}/{p}}}

and when p = 0, it is equal to the weighted geometric mean:

M 0 ( x 1 , … , x n ) = ( ∏ i = 1 n x i w i ) 1 / ∑ i = 1 n w i . {\displaystyle M_{0}(x_{1},\dots ,x_{n})=\left(\prod _{i=1}^{n}x_{i}^{w_{i}}\right)^{1/\sum _{i=1}^{n}w_{i}}.}

The unweighted means correspond to setting all wi = 1.

Special cases For some values of p {\displaystyle p} , the mean M p ( x 1 , … , x n ) {\displaystyle M_{p}(x_{1},\dots ,x_{n})} corresponds to a well known mean.

… excerpt ends here. Continue reading the full article.

Illustrations

Generalized mean: Plot of several generalized means 
  
    
      
        
          M
          
            p
          
        
        (
        1
        ,
        x
        )
      
    
    {\displaystyle M_{p}(1,x)}
Plot of several generalized means M p ( 1 , x ) {\displaystyle M_{p}(1,x)}
Generalized mean: A visual depiction of some of the specified cases for 
  
    
      
        n
        =
        2
      
    
    {\displaystyle n=2}
  
. .mw-parser-output .legend{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .legend-color{display:inline-block;min-width:1.25em;height:1.25em;line-height:1.25;margin:1px 0;text-align:center;border:1px solid black;background-color:transparent;color:black}.mw-parser-output .legend-text{}  Harmonic mean: 
  
    
      
        
          M
          
            −
            1
          
        
        (
        a
        ,
        b
        )
      
    
    {\displaystyle M_{-1}(a,b)}
  
.   Geometric mean: 
  
    
      
        
          M
          
            0
          
        
        (
        a
        ,
        b
        )
      
    
    {\displaystyle M_{0}(a,b)}
  
.   Arithmetic mean: 
  
    
      
        
          M
          
            1
          
        
        (
        a
        ,
        b
        )
      
    
    {\displaystyle M_{1}(a,b)}
  
.   Quadratic mean: 
  
    
      
        
          M
          
            2
          
        
        (
        a
        ,
        b
        )
      
    
    {\displaystyle M_{2}(a,b)}
  
.
A visual depiction of some of the specified cases for n = 2 {\displaystyle n=2} . .mw-parser-output .legend{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .legend-color{display:inline-block;min-width:1.25em;height:1.25em;line-height:1.25;margin:1px 0;text-align:center;border:1px solid black;background-color:transparent;color:black}.mw-parser-output .legend-text{}  Harmonic mean: M − 1 ( a , b ) {\displaystyle M_{-1}(a,b)} .   Geometric mean: M 0 ( a , b ) {\displaystyle M_{0}(a,b)} .   Arithmetic mean: M 1 ( a , b ) {\displaystyle M_{1}(a,b)} .   Quadratic mean: M 2 ( a , b ) {\displaystyle M_{2}(a,b)} .
Generalized mean: Geometric proof without words that max (a,b) > root mean square (RMS) or quadratic mean (QM) > arithmetic mean (AM) > geometric mean (GM) > harmonic mean (HM) > min (a,b) of two distinct positive numbers a and b[note 1]
Geometric proof without words that max (a,b) > root mean square (RMS) or quadratic mean (QM) > arithmetic mean (AM) > geometric mean (GM) > harmonic mean (HM) > min (a,b) of two distinct positive numbers a and b[note 1]

Worked examples

Example 1 — a first encounter with Generalized mean

Start with the simplest possible case. Write down what Generalized mean claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Generalized mean 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 Generalized mean 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 Generalized mean

In research
Generalized mean appears in biology 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 Generalized mean 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
Generalized mean is common in secondary-school and first-year university syllabi. It links to neighbouring topics Inequalities (mathematics), Means, so understanding it makes those chapters shorter.
In everyday life
Look for Generalized mean 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 Generalized mean in 20 minutes

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

Frequently asked questions

What is Generalized mean in simple terms?

In mathematics, generalized means (or power mean or Hölder mean from Otto Hölder) are a family of functions for aggregating sets of numbers. These include as special cases the Pythagorean means (arithmetic, geometric, and harmonic means).

Why does Generalized mean matter?

Because it connects several biology 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 Generalized mean?

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 Generalized mean.

Tags

  • Inequalities (mathematics)
  • Means

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