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Olami–Feder–Christensen model

Olami–Feder–Christensen model 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 Olami–Feder–Christensen model rather than just read about it. In short: In physics, in the area of dynamical systems, the Olami–Feder–Christensen (OFC) model is an earthquake model conjectured to be an example of self-organized criticality where local exchange dynamics are not conservative. The model is named after Zeev Olami, Hans Jacob S.

Key takeaways

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

Reference excerpt

In physics, in the area of dynamical systems, the Olami–Feder–Christensen (OFC) model is an earthquake model conjectured to be an example of self-organized criticality where local exchange dynamics are not conservative. The model is named after Zeev Olami, Hans Jacob S. Feder, and Kim Christensen who proposed it in 1992. Despite the original claims of the authors and subsequent claims of other authors such as Stefano Lise, whether or not the model is self organized critical remains an open question. The system behaviour reproduces some empirical laws that earthquakes follow (such as the Gutenberg–Richter law and Omori's Law).

Model definition The model is a simplification of the Burridge-Knopoff model, where the blocks move instantly to their balanced positions when submitted to a force greater than their friction. Let S be a square lattice with L × L sites and let Kmn ≥ 0 be the tension at site (m,n). The sites with tension greater than 1 are called critical and go through a relaxation step where their tension spreads to their neighbours. Through analogy with the Burridge-Knopoff model, what is being simulated is a fault, where one of the lattice's dimensions is the flaw depth and the other one follows the flaw.

Model rules If there are no critical sites, then the system suffers a continuous drive, until a site becomes critical:

K max = max ( i , j ) ∈ S K i j {\displaystyle K_{\max }={\underset {(i,j)\in S}{\max }}K_{ij}\,}

K i j ← K i j + ( 1 − K max ) {\displaystyle K_{ij}\leftarrow K_{ij}+(1-K_{\max })\,}

else if the sites C1, C2, ..., Cm are critical the relaxation rule is applied in parallel:

K C i ← 0 , i = 1 , … , m {\displaystyle K_{C_{i}}\leftarrow 0,\quad i=1,\ldots ,m\,}

K j ← K j + α K C i ′ ∀ j ∈ Γ C i , i = 1 , … , m {\displaystyle K_{j}\leftarrow K_{j}+\alpha K'_{C_{i}}\,\forall \,j\in \Gamma _{C_{i}},\quad i=1,\ldots ,m}

where K'C is the tension prior to the relaxation and ΓC is the set of neighbours of site C. α is called the conservative parameter and can range from 0 to 0.25 in a square lattice. This can create a chain reaction which is interpreted as an earthquake. These rules allow us to define a time variable that is update during the driving step

t ← t + ( 1 − K max ) {\displaystyle t\leftarrow t+(1-K_{\max })\,}

this is equivalent to define a constant drive

d K i d t = 1 ∀ i ∈ S {\displaystyle {\frac {dK_{i}}{dt}}=1\,\forall \,i\in S}

and assume the relaxation step is instantaneous, which is a good approximation for an earthquake model.

Behaviour and criticality The system's behaviour is heavily influenced by the α parameter. For α=0.25 the system is conservative (in the sense that the local exchange is conservative, as there is still tension loss in the borders) and clearly critical. For values α<0.25 the dynamics is very different, even in the limit α → 0.25, with greater noise and much greater transients. For low α, there are less possibilities of chain reactions which could lead to cut-offs in the earthquake size distribution, implying the model is not critical. Also, for α = 0, the model is trivially not critical. These observations lead to the question of what is the value αc where the system makes the transition from critical to non-critical behaviour, which is still an open question.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Olami–Feder–Christensen model

Start with the simplest possible case. Write down what Olami–Feder–Christensen model 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 Olami–Feder–Christensen model 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 Olami–Feder–Christensen model 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 Olami–Feder–Christensen model

In research
Olami–Feder–Christensen model 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 Olami–Feder–Christensen model 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
Olami–Feder–Christensen model is common in secondary-school and first-year university syllabi. It links to neighbouring topics Fractals, Seismology measurement, Self-organization, so understanding it makes those chapters shorter.
In everyday life
Look for Olami–Feder–Christensen model 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 Olami–Feder–Christensen model in 20 minutes

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

Frequently asked questions

What is Olami–Feder–Christensen model in simple terms?

In physics, in the area of dynamical systems, the Olami–Feder–Christensen (OFC) model is an earthquake model conjectured to be an example of self-organized criticality where local exchange dynamics are not conservative. The model is named after Zeev Olami, Hans Jacob S.

Why does Olami–Feder–Christensen model 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 Olami–Feder–Christensen model?

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 Olami–Feder–Christensen model.

Tags

  • Fractals
  • Seismology measurement
  • Self-organization

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