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Tellegen's theorem

Tellegen's theorem 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 Tellegen's theorem rather than just read about it. In short: Tellegen's theorem is one of the most powerful theorems in network theory. Most of the energy distribution theorems and extremum principles in network theory can be derived from it.

Key takeaways

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

Reference excerpt

Tellegen's theorem is one of the most powerful theorems in network theory. Most of the energy distribution theorems and extremum principles in network theory can be derived from it. It was published in 1952 by Bernard Tellegen. Fundamentally, Tellegen's theorem gives a simple relation between magnitudes that satisfy Kirchhoff's laws of electrical circuit theory. The Tellegen theorem is applicable to a multitude of network systems. The basic assumptions for the systems are the conservation of flow of extensive quantities (Kirchhoff's current law, KCL) and the uniqueness of the potentials at the network nodes (Kirchhoff's voltage law, KVL). The Tellegen theorem provides a useful tool to analyze complex network systems including electrical circuits, biological and metabolic networks, pipeline transport networks, and chemical process networks.

Statement Consider an arbitrary lumped network that has b {\displaystyle b} branches and n {\displaystyle n} nodes. In an electrical network, the branches are two-terminal components and the nodes are points of interconnection. Suppose that to each branch we assign arbitrarily a branch potential difference W k {\displaystyle W_{k}} and a branch current F k {\displaystyle F_{k}} for k = 1 , 2 , … , b {\displaystyle k=1,2,\dots ,b} , and suppose that they are measured with respect to arbitrarily picked associated reference directions. If the branch potential differences W 1 , W 2 , … , W b {\displaystyle W_{1},W_{2},\dots ,W_{b}} satisfy all the constraints imposed by KVL and if the branch currents F 1 , F 2 , … , F b {\displaystyle F_{1},F_{2},\dots ,F_{b}} satisfy all the constraints imposed by KCL, then

∑ k = 1 b W k F k = 0. {\displaystyle \sum _{k=1}^{b}W_{k}F_{k}=0.}

Tellegen's theorem is extremely general; it is valid for any lumped network that contains any elements, linear or nonlinear, passive or active, time-varying or time-invariant. The generality is extended when W k {\displaystyle W_{k}} and F k {\displaystyle F_{k}} are linear operations on the set of potential differences and on the set of branch currents (respectively) since linear operations don't affect KVL and KCL. For instance, the linear operation may be the average or the Laplace transform. More generally, operators that preserve KVL are called Kirchhoff voltage operators, operators that preserve KCL are called Kirchhoff current operators, and operators that preserve both are simply called Kirchhoff operators. These operators need not necessarily be linear for Tellegen's theorem to hold. The set of currents can also be sampled at a different time from the set of potential differences since KVL and KCL are true at all instants of time. Another extension is when the set of potential differences W k {\displaystyle W_{k}} is from one network and the set of currents F k {\displaystyle F_{k}} is from an entirely different network, so long as the two networks have the same topology (same incidence matrix) Tellegen's theorem remains true. This extension of Tellegen's Theorem leads to many theorems relating to two-port networks.

Definitions We need to introduce a few necessary network definitions to provide a compact proof. Incidence matrix: The n × b {\displaystyle n\times b} matrix A a {\displaystyle \mathbf {A_{a}} } is called node-to-branch incidence matrix for the matrix elements a i j {\displaystyle a_{ij}} being

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Tellegen's theorem

Start with the simplest possible case. Write down what Tellegen's theorem 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 Tellegen's theorem 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 Tellegen's theorem 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 Tellegen's theorem

In research
Tellegen's theorem 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 Tellegen's theorem 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
Tellegen's theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Circuit theorems, so understanding it makes those chapters shorter.
In everyday life
Look for Tellegen's theorem 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 Tellegen's theorem in 20 minutes

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

Frequently asked questions

What is Tellegen's theorem in simple terms?

Tellegen's theorem is one of the most powerful theorems in network theory. Most of the energy distribution theorems and extremum principles in network theory can be derived from it.

Why does Tellegen's theorem 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 Tellegen's theorem?

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 Tellegen's theorem.

Tags

  • Circuit theorems

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