To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
We consider a two-layer fluid of finite depth with a free surface and, in particular, the surface tension at the free surface and the interface. The usual assumptions of a linearized theory are considered. The objective of this work is to analyse the effect of surface tension on trapped modes, when a horizontal circular cylinder is submerged in either of the layers of a two-layer fluid. By setting up boundary value problems for both of the layers, we find the frequencies for which trapped waves exist. Then, we numerically analyse the effect of variation of surface tension parameters on the trapped modes, and conclude that realistic changes in surface tension do not have a significant effect on the frequencies of these.
Modelling fluid turbulence is perhaps one of the hardest problems in Applied Mathematics. In a recent paper, the author argued that the classical Navier–Stokes equation is not sufficient to describe the transition to turbulence, but that a Reiner–Rivlin type equation is needed instead. This is explored here for the simplest of all viscous fluid flows, the Couette flow, which is a simple shear between two moving plates. It is found that at high wavenumbers, the transition to unstable flow at the critical Reynolds number is characterized by a large number of eigenvalues of the Orr–Sommerfeld equation moving into the unstable zone essentially simultaneously. This would generate high-dimensional chaos almost immediately, and is a suggested mechanism for the transition to turbulence. Stability zones are illustrated for the flow, and a simple asymptotic solution confirms some of the features of these numerical results.
We investigate two routing problems that arise when order pickers traverse an aisle in a warehouse. The routing problems can be viewed as Euclidean travelling salesman problems with points on two parallel lines. We show that if the order picker traverses only a section of the aisle and then returns, then an optimal solution can be found in linear time, and if the order picker traverses the entire aisle, then an optimal solution can be found in quadratic time. Moreover, we show how to approximate the routing cost in linear time by computing a minimum spanning tree for the points on the parallel lines.
An important issue is what happens after a singularity has occurred. A very simple example was considered in Section 3.5; now we will turn to some physical examples in more detail. First, we consider the breakup of a liquid drop, which marks the transition from one piece to two separate pieces of liquid. To know how the two pieces evolve after breakup one needs to continue across the singularity. In particular, is the continuation unique or are there several possible ways for the solution to evolve after the singularity? As in Section 3.5 we will consider two very different approaches to continuation. In the first approach we construct a similarity solution that applies directly after the singularity, by solving two separate problems corresponding to the two pieces resulting from breakup. We show that they are determined uniquely by the pre-breakup dynamics. In the second approach we regularize the equations on a small scale, so that a true singularity never occurs.
Post-breakup solution: viscous thread
In Chapter 7 we saw that the asymptotics of drop breakup is described by the similarity solution (7.41). We described in some detail how a unique, stable, similarity solution is selected; this is shown in Fig. 7.3. Now we show how the knowledge of the pre-breakup solution permits us to construct a unique post-breakup solution. The strategy has already been laid out and hinges on the matching conditions (3.84), which transfer information about the behave-ior of the pre-breakup solution far from the pinch point to the post-breakup solution.
However, there remains a technical challenge, illustrated in Fig. 10.1. In the immediate neighborhood of the tip, where the slope h′ of the profile diverges, the solution can no longer be considered slender. As a result the derivation of the slender jet equations (6.57), (6.58) is not valid; the equations break down at the tip. Instead, we must consider a separate tip region, whose width tip is comparable with its radial extension. In the language of matched asymptotics the tip is the inner region, while the receding thread, over which the slender jet approximation applies, is the outer region.
This book deals for the most part with partial differential equations, whose basis is to view the world as a continuum. This agrees with our perception of liquids, gases, and many solids; they appear to have no characteristic structure and are perfectly isotropic: no property is linked to a particular point or direction in space. We hasten to add that the reality is often more complicated. A liquid may contain components which possess a significant microstructure, e.g. polymers. Solids are often crystalline, which means that their properties depend on the direction of observation relative to the crystal axes.
It is worth remembering the complexity of any microscopic description of a liquid, gas, or solid, even if the system is extremely small. Consider, for example, the computer simulation of a liquid jet emerging from a nozzle only 6 nm in diameter, shown in Fig. 4.1. Each molecule of the liquid is treated as a mathematical point, with a known force between any two molecules. At very small distances, the molecules repel; at larger distances, they attract. The balance between attraction and repulsion causes the molecules to condense into a liquid state. Even on a scale of a few nanometers, the jet appears essentially like a continuum.
The simulation shown in Fig. 4.1 was obtained by solving Newton's equations for each molecule, taking into account the forces exerted on it by the other molecules. This is feasible for a few hundred thousand molecules by only including interactions with molecules close to the target particle. Thus, from a microscopic point of view, we have an incredibly complicated system of nonlinear ODEs. The only hope of gaining analytical insight lies in developing a continuum description. Here we will emphasize the basic physical principles on which the continuum description of fluids and solids relies, and briefly develop the equations of motion on which the rest of this book is based.
The Navier–Stokes equation
The continuum description of liquids and gases is based on the fundamental laws of conservation of matter and of momentum. Here anything that flows is usually called a fluid and comprises both liquids and gases described by the same flow equations.