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Zermelo's navigation problem

Zermelo's navigation problem 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 Zermelo's navigation problem rather than just read about it. In short: In mathematical optimization, Zermelo's navigation problem, proposed in 1931 by Ernst Zermelo, is a classic optimal control problem that deals with a boat navigating on a body of water, originating from a point A {\displaystyle A} to a destination point B {\displaystyle B} . The boat is capable of a certain maximum speed, and the goal is to derive the best possible control to reach B {\displaystyle B} in the least p…

Zermelo's navigation problem — main illustration
Zermelo's navigation problem — illustration

Key takeaways

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

Reference excerpt

In mathematical optimization, Zermelo's navigation problem, proposed in 1931 by Ernst Zermelo, is a classic optimal control problem that deals with a boat navigating on a body of water, originating from a point A {\displaystyle A} to a destination point B {\displaystyle B} . The boat is capable of a certain maximum speed, and the goal is to derive the best possible control to reach B {\displaystyle B} in the least possible time.

Without considering external forces such as current and wind, the optimal control is for the boat to always head towards B {\displaystyle B} . Its path then is a line segment from A {\displaystyle A} to B {\displaystyle B} , which is trivially optimal. With consideration of current and wind, if the combined force applied to the boat is non-zero the control for no current and wind does not yield the optimal path.

History In his 1931 article, Ernst Zermelo formulates the following problem:

In an unbounded plane where the wind distribution is given by a vector field as a function of position and time, a ship moves with constant velocity relative to the surrounding air mass. How must the ship be steered in order to come from a starting point to a given goal in the shortest time?

This is an extension of the classical optimisation problem for geodesics – minimising the length of a curve I [ c ] = ∫ a b 1 + y ′ 2 d x {\displaystyle I[c]=\int _{a}^{b}{\sqrt {1+y'^{2}}}\,dx} connecting points A {\displaystyle A} and B {\displaystyle B} , with the added complexity of considering some wind velocity. Although it is usually impossible to find an exact solution in most cases, the general case was solved by Zermelo himself in the form of a partial differential equation, known as Zermelo's equation, which can be numerically solved. The problem of navigating an airship which is surrounded by air, was presented first in 1929 at a conference by Ernst Zermelo, who was inspired by the circumnavigation of Graf Zeppelin in 1929-08. Other mathematicians have answered the challenge over the following years. The dominant technique for solving the equations is the calculus of variations.

Constant-wind case The case of constant wind is easy to solve exactly. Let d = A B → {\displaystyle \mathbf {d} ={\vec {AB}}} , and suppose that to minimise the travel time the ship travels at a constant maximum speed V {\displaystyle V} . Thus the position of the ship at time t {\displaystyle t} is x = t ( v + w ) {\displaystyle \mathbf {x} =t(\mathbf {v} +\mathbf {w} )} . Let T {\displaystyle T} be the time of arrival at B {\displaystyle B} , so that d = T ( v + w ) {\displaystyle \mathbf {d} =T(\mathbf {v} +\mathbf {w} )} . Taking the dot product of this with w {\displaystyle \mathbf {w} } and d {\displaystyle \mathbf {d} } respectively results in

… excerpt ends here. Continue reading the full article.

Illustrations

Zermelo's navigation problem: Zermelo Navigation with velocity 
  
    
      
        
          v
        
      
    
    {\displaystyle \mathbf {v} }
  
under constant wind 
  
    
      
        
          w
        
      
    
    {\displaystyle \mathbf {w} }
Zermelo Navigation with velocity v {\displaystyle \mathbf {v} } under constant wind w {\displaystyle \mathbf {w} }
Zermelo's navigation problem: Ernst Zermelo formulated and solved the general problem
Ernst Zermelo formulated and solved the general problem

Worked examples

Example 1 — a first encounter with Zermelo's navigation problem

Start with the simplest possible case. Write down what Zermelo's navigation problem 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 Zermelo's navigation problem 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 Zermelo's navigation problem 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 Zermelo's navigation problem

In research
Zermelo's navigation problem 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 Zermelo's navigation problem 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
Zermelo's navigation problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Optimal control, so understanding it makes those chapters shorter.
In everyday life
Look for Zermelo's navigation problem 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 Zermelo's navigation problem in 20 minutes

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

Frequently asked questions

What is Zermelo's navigation problem in simple terms?

In mathematical optimization, Zermelo's navigation problem, proposed in 1931 by Ernst Zermelo, is a classic optimal control problem that deals with a boat navigating on a body of water, originating from a point A {\displaystyle A} to a destination point B {\displaystyle B} . The boat is capable of…

Why does Zermelo's navigation problem 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 Zermelo's navigation problem?

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 Zermelo's navigation problem.

Tags

  • Optimal control

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