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Introduction to Statistical Thermodynamics of Soft and Biological Matter Lecture 2 Statistical thermodynamics II Free energy of small systems. Boltzmann distribution. Partition function. Probability distributions. Fluctuations. Free energy of two-state system. Kinetic interpretation of the Boltzmann distribution. Barrier crossing. Unfolding of single RNA molecule.
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Some more soft and biological matter… Polymers Gels Polymers – linear macromolecules Amphiphiles: soaps, lipids, membranes polar head (love water) hydrocarbon tail (hate water) Self-assembly
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And more biological matter… Actin in cell Cell on substrate bilayer vesicle Vesicle shapes
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Entropy… Probability of each state: Molecules A Molecules B
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Hard-sphere crystal Hard-sphere liquid Hard-sphere freezing is driven by entropy ! Lower Entropy… Higher Entropy…
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Entropy of ideal gas Indistinguishablility For N molecules: For one molecule: - “cell” volume (quantum uncertainty ) V – total volume Free energy of ideal gas: density:
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Pressure of ideal gas Free energy of ideal gas: density: N – number of particles V - volume Pressure: Osmotic forces: Concentration difference induces osmotic pressure Semi-permeable membrane (only solvent can penetrate) Protein solution
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Free energy Reservoir, T Small system For closed system: a For open (small) system Free energy is minimized: - Helmholtz free energy - Gibbs free energy
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Protein molecule with several possible conformations Free energy Reaction coordinate (order parameter) 1 2 3 M Free energy landscape:
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Boltzmann distribution System with many possible states ( M possible states) (different conformations of protein molecule) Each state has probability Each state has energy - normalization condition Free energy (per one protein molecule): Minimize free energy with respect to : Constraint minimization
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Minimize free energy: Subject to constraint: Method of Lagrange Multipliers (look at any book on calculus): Lagrange multiplier
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Partition function Free energy: Minimize free energy. Solution: Substitute into F: Partition function:
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Sequence Analysis Course… Lecture 9 Boltzmann equation
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Self-Consistent Mean Field (SCMF) modeling DNA/Protein structure-function analysis and prediction. Lecture 10 …
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The notion of probability distribution Probability distribution function: - random variable - probability to find in the interval - normalization condition - average value of Fluctuation (variance):
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Examples of probability distributions Gaussian probability distribution: Your turn: find A variance: Uniform probability distribution:
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Example: fluctuations of spring in thermal bath verify: - energy of spring - probability distribution Equipartition theorem:
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Example: Two state system
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Kinetic interpretation of the Boltzmann distribution - activation barrier Detailed balance (at equilibrium): Number of molecules in state 2 and in state 1
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Unfolding of single RNA molecule J. Liphardt et al., Science 292, 733 (2001) Optical tweezers apparatus:
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J. Liphardt et al., Science 292, 733 (2001) Two-state system and unfolding of single RNA molecule Extension Open state: Close state (force applied): force extension
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