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Intrinsic metric

Intrinsic metric 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 Intrinsic metric rather than just read about it. In short: In the mathematical study of metric spaces, one can consider the arclength of paths in the space. If two points are at a given distance from each other, it is natural to expect that one should be able to get from the first point to the second along a path whose arclength is equal to (or very close to) that distance.

Key takeaways

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

Reference excerpt

In the mathematical study of metric spaces, one can consider the arclength of paths in the space. If two points are at a given distance from each other, it is natural to expect that one should be able to get from the first point to the second along a path whose arclength is equal to (or very close to) that distance. The distance between two points of a metric space relative to the intrinsic metric is defined as the infimum of the lengths of all paths from the first point to the second. A metric space is a length metric space if the intrinsic metric agrees with the original metric of the space. If the space has the stronger property that there always exists a path that achieves the infimum of length (a geodesic) then it is called a geodesic metric space. For instance, the Euclidean plane is a geodesic space, with line segments as its geodesics. The Euclidean plane with the origin removed is not geodesic, but is still a length metric space.

Definitions Let ( M , d ) {\displaystyle (M,d)} be a metric space, i.e., M {\displaystyle M} is a collection of points (such as all of the points in the plane, or all points on the circle) and d {\displaystyle d} is a function that outputs the distance between points in M {\displaystyle M} . We define a new metric d I {\displaystyle d_{\text{I}}} on M {\displaystyle M} , known as the induced intrinsic metric, as follows:

d I ( x , y ) {\displaystyle d_{\text{I}}(x,y)} is the infimum of the lengths of all paths from x {\displaystyle x} to y {\displaystyle y} . Here, a path from x {\displaystyle x} to y {\displaystyle y} is a continuous map

γ : [ 0 , 1 ] → M {\displaystyle \gamma \colon [0,1]\rightarrow M}

with γ ( 0 ) = x {\displaystyle \gamma (0)=x} and γ ( 1 ) = y {\displaystyle \gamma (1)=y} . The length of such a path is defined as follows: to each finite partition

P = { 0 = x 0 < x 1 < . . . < x n = 1 } {\displaystyle P=\{0=x_{0}<x_{1}<...<x_{n}=1\}}

of the interval [ 0 , 1 ] {\displaystyle [0,1]} , consider the sum

Σ ( P ) = ∑ k = 0 n − 1 d ( γ ( x k ) , γ ( x k + 1 ) ) . {\displaystyle \Sigma (P)=\sum _{k=0}^{n-1}d(\gamma (x_{k}),\gamma (x_{k+1})).}

We then define the length of γ {\displaystyle \gamma } to be

ℓ ( γ ) = sup P ∈ P Σ ( P ) , {\displaystyle \ell (\gamma )=\sup _{P\in {\mathfrak {P}}}\Sigma (P),}

where P {\displaystyle {\mathfrak {P}}} is the set of finite partitions of [ 0 , 1 ] {\displaystyle [0,1]} . If the supremum is finite, we call γ {\displaystyle \gamma } a rectifiable curve. Note that d I ( x , y ) = ∞ {\displaystyle d_{\text{I}}(x,y)=\infty } if there is no path from x {\displaystyle x} to y {\displaystyle y} since the infimum of the empty set within the closed interval [0,+∞] is +∞. The mapping d ↦ d I {\textstyle d\mapsto d_{\text{I}}} is idempotent, i.e.

( d I ) I = d I . {\displaystyle (d_{\text{I}})_{\text{I}}=d_{\text{I}}.}

If

d I ( x , y ) = d ( x , y ) {\displaystyle d_{\text{I}}(x,y)=d(x,y)}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Intrinsic metric

Start with the simplest possible case. Write down what Intrinsic metric 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 Intrinsic metric 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 Intrinsic metric 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 Intrinsic metric

In research
Intrinsic metric 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 Intrinsic metric 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
Intrinsic metric is common in secondary-school and first-year university syllabi. It links to neighbouring topics Metric geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Intrinsic metric 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 Intrinsic metric in 20 minutes

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

Frequently asked questions

What is Intrinsic metric in simple terms?

In the mathematical study of metric spaces, one can consider the arclength of paths in the space. If two points are at a given distance from each other, it is natural to expect that one should be able to get from the first point to the second along a path whose arclength is equal to (or very close…

Why does Intrinsic metric 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 Intrinsic metric?

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 Intrinsic metric.

Tags

  • Metric geometry

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