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GENERIC formalism

GENERIC formalism 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 GENERIC formalism rather than just read about it. In short: In non-equilibrium thermodynamics, GENERIC is an acronym for General Equation for Non-Equilibrium Reversible-Irreversible Coupling. It is the general form of dynamic equation for a system with both reversible and irreversible dynamics (generated by energy and entropy, respectively).

Key takeaways

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

Reference excerpt

In non-equilibrium thermodynamics, GENERIC is an acronym for General Equation for Non-Equilibrium Reversible-Irreversible Coupling. It is the general form of dynamic equation for a system with both reversible and irreversible dynamics (generated by energy and entropy, respectively). GENERIC formalism is the theory built around the GENERIC equation, which has been proposed in its final form in 1997 by Miroslav Grmela and Hans Christian Öttinger.

GENERIC equation The GENERIC equation is usually written as

d x d t = L ( x ) ⋅ δ E δ x ( x ) + M ( x ) ⋅ δ S δ x ( x ) . {\displaystyle {\frac {dx}{dt}}=L(x)\cdot {\frac {\delta E}{\delta x}}(x)+M(x)\cdot {\frac {\delta S}{\delta x}}(x).}

Here:

x {\displaystyle x} denotes a set of variables used to describe the state space. The vector x {\displaystyle x} can also contain variables depending on a continuous index like a temperature field. In general, x {\displaystyle x} is a function S → R {\displaystyle S\rightarrow \mathbb {R} } , where the set S {\displaystyle S} can contain both discrete and continuous indexes. Example: x = ( U , V , T ( r → ) ) {\displaystyle x=(U,V,T({\vec {r}}))} for a gas with nonuniform temperature, contained in a volume Σ ⊂ R 3 {\displaystyle \Sigma \subset \mathbb {R} ^{3}} ( S = { 1 , 2 } ∪ Σ {\displaystyle S=\{1,2\}\cup \Sigma } )

E ( x ) {\displaystyle E(x)} , S ( x ) {\displaystyle S(x)} are the system's total energy and entropy. For purely discrete state variables, these are simply functions from R n {\displaystyle \mathbb {R} ^{n}} to R {\displaystyle \mathbb {R} } , for continuously indexed x {\displaystyle x} , they are functionals

δ E / δ x {\displaystyle \delta E/\delta x} , δ S / δ x {\displaystyle \delta S/\delta x} are the derivatives of E {\displaystyle E} and S {\displaystyle S} . In the discrete case, it is simply the gradient, for continuous variables, it is the functional derivative (a function S → R {\displaystyle S\rightarrow \mathbb {R} } ) the Poisson matrix L ( x ) {\displaystyle L(x)} is an antisymmetric matrix (possibly depending on the continuous indexes) describing the reversible dynamics of the system according to Hamiltonian mechanics. The related Poisson bracket fulfills the Jacobi identity. the friction matrix M ( x ) {\displaystyle M(x)} is a positive semidefinite (and hence symmetric) matrix describing the system's irreversible behaviour. In addition to the above equation and the properties of its constituents, systems that ought to be properly described by the GENERIC formalism are required to fulfill the degeneracy conditions

L ( x ) ⋅ δ S δ x ( x ) = 0 {\displaystyle L(x)\cdot {\frac {\delta S}{\delta x}}(x)=0}

M ( x ) ⋅ δ E δ x ( x ) = 0 {\displaystyle M(x)\cdot {\frac {\delta E}{\delta x}}(x)=0}

which express the conservation of entropy under reversible dynamics and of energy under irreversible dynamics, respectively. The conditions on L {\displaystyle L} (antisymmetry and some others) express that the energy is reversibly conserved, and the condition on M {\displaystyle M} (positive semidefiniteness) express that the entropy is irreversibly non-decreasing.

Related Applications and Simulation Methods Viscoelasticity, Complex fluids, Polymers, Soft matter Smoothed-particle hydrodynamics Stokesian dynamics Stochastic Eulerian Lagrangian methods

References

Worked examples

Example 1 — a first encounter with GENERIC formalism

Start with the simplest possible case. Write down what GENERIC formalism 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 GENERIC formalism 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 GENERIC formalism 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 GENERIC formalism

In research
GENERIC formalism 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 GENERIC formalism 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
GENERIC formalism is common in secondary-school and first-year university syllabi. It links to neighbouring topics Non-equilibrium thermodynamics, so understanding it makes those chapters shorter.
In everyday life
Look for GENERIC formalism 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 GENERIC formalism in 20 minutes

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

Frequently asked questions

What is GENERIC formalism in simple terms?

In non-equilibrium thermodynamics, GENERIC is an acronym for General Equation for Non-Equilibrium Reversible-Irreversible Coupling. It is the general form of dynamic equation for a system with both reversible and irreversible dynamics (generated by energy and entropy, respectively).

Why does GENERIC formalism 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 GENERIC formalism?

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 GENERIC formalism.

Tags

  • Non-equilibrium thermodynamics

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