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An Overview of the Navier-Stokes Equations
Jul 13, 2024
Lecture: An Overview of the Navier-Stokes Equations
Introduction
Key Question
: Can we predict how a lake flows over time given the velocity and pressure at every point in the lake?
Central Concept
: Navier-Stokes equations, which describe the behavior of any fluid (water, air, honey, etc.)
Significance
: Part of the Millennium Prize Problems, with a prize of one million dollars for solving it.
Importance of Navier-Stokes Equations
Applications
:
Weather forecasting
Modeling airplanes and rockets
Predicting water currents
Mathematical Challenges
: Despite extensive usage, there's still much unknown.
Assumptions for Simplification
Newtonian Fluid
:
Shear stress rate has no effect on viscosity
Example: Ketchup (higher shear rate decreases viscosity)
Incompressible Fluid
:
No considerable volume change under pressure
Isothermal Fluid
:
No heat loss or gain during flow
The Navier-Stokes Equations
Mass Conservation
: Indicates that mass is conserved within the fluid.
Uses the divergence of a velocity vector field
Newtonian Physics
:
Derived from Newton's second law (sum of forces = mass × acceleration)
For Fluid Molecules
:
Replace mass with density (mass/volume = density)
Acceleration is the derivative of velocity vector field
Internal Forces:
Pressure Gradient
: Fluid moves from high to low pressure (e.g., drinking from a straw)
Friction/Viscosity
: Resistance within fluid molecules (water vs. honey)
External Forces: Often simplified to gravity (denoted as ρg)
Mathematical Expression
First Equation
: Divergence of velocity vector field = 0 (mass conservation)
Second Equation
: Rewritten Newton's second law for fluids
Terms
:
Density (ρ)
: Mass of the fluid
Velocity Vector Field (u)
: Describes fluid's movement
Pressure Gradient (∇p)
: Change in pressure
Friction/Viscosity Term
: Describes internal resistance
External Force (f)
: Typically gravity
The Millennium Prize Problem
Challenge
: Prove one of four statements regarding the existence and smoothness of solutions
Smoothness
: Solution must be differentiable
Chaos Theory
: Small changes in initial conditions lead to large differences in outcomes
Example: Weather prediction limits (~7 days)
Example: Predicting turbulence in airplanes
Conclusion
Despite its complexity, Navier-Stokes equations are crucial in many practical applications and remain a significant mathematical challenge.
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