This paper is an introduction to the mathematics of curves, surfaces and volumes in three-dimensional space, and extends the notions of differentiation and integration to higher dimensions.

Many scientists spend much of their time trying to predict the future state of some
system, be it the state of an oil spill, the state of our star system, the state of
an amoeba colony, the state of our economy, etc. The predictions are generally based
on the relationship between the rate of change of the system, or maybe the rate of
change of the rate of change, and circumstances in the system environment. Usually
real quantities of interest depend not only on passage of time, but on other factors
as well, such as spatial variations of properties within the system and its environment.
A prime example is our weather. The air pressure and the temperature both change during
the day, and they are different in different parts of the world, so they change also
in space.

Multivariate differential calculus provides the fundamental tools
for modelling system changes when more than one important parameter is responsible
for those changes. It is particularly fundamental to all of the physical and natural
sciences and to all situations requiring the modelling of rates of change.

In
this paper, many of the ideas and techniques of one-variable differentiation and integration
(as covered in MATH 160 and 170) are generalised to functions of more than one variable.
The simplest case deals with functions of the form z=f(x,y) (i.e. functions whose
graph is a surface in three-dimensional space). Such surfaces can be drawn with the
aid of level curves of the function. Paths of steepest ascent (or descent) along the
surface may eventually lead to local or global extremum values of the function, which
generally have particular physical significance.

Other important notions
covered in the paper are vector fields (such as flow fields of a fluid) and their
properties and the fundamental integral identities that express conservation laws,
such as the conservation of energy and momentum in Physics or the conservation of
mass in Chemistry.

Paper title | Calculus of Several Variables |
---|---|

Paper code | MATH203 |

Subject | Mathematics |

EFTS | 0.1500 |

Points | 18 points |

Teaching period | First Semester |

Domestic Tuition Fees (NZD) | $886.35 |

International Tuition Fees (NZD) | $3,766.35 |

- Prerequisite
- MATH 170
- Restriction
- MATH 251
- Schedule C
- Arts and Music, Science
- Eligibility
- This paper is particularly relevant to Mathematics, Statistics and Physics majors, but should appeal to a wide variety of students, including those studying Computer Science, Chemistry, Surveying or any discipline requiring a quantitative analysis of systems and how they change with space and time.
- Contact
- maths@otago.ac.nz
- More information link
- View more information about MATH 203
- Teaching staff
- Professor Jōrg Frauendiener
- Paper Structure
- Main topics:
- Vector-valued functions, vector fields, scalar fields
- Partial derivatives, directional derivatives
- Gradient, divergence and curl
- Total differential
- Taylor's theorem for functions of several variables
- Inverse and implicit function theorems
- Local extrema, Lagrange multipliers
- Integrals over regions in two and three dimensions
- Mean value theorems for functions of several variables
- Iterated integrals
- Change of variables
- The theorems of Green and Stokes

- Teaching Arrangements
- Three 1-hour lectures per week for 13 weeks.
- Textbooks
- Required: J. Stewart, Calculus (7th edition, metric version).
- Course outline
- View course outline for MATH 203
- Graduate Attributes Emphasised
- Communication, Critical thinking.

View more information about Otago's graduate attributes. - Learning Outcomes
- Demonstrate in-depth understanding of the concepts, results and methods of the paper

## Timetable

This paper is an introduction to the mathematics of curves, surfaces and volumes in three-dimensional space, and extends the notions of differentiation and integration to higher dimensions.

Many scientists spend much of their time trying to predict the future state of some
system, be it the state of an oil spill, the state of our star system, the state of
an amoeba colony, the state of our economy, etc. The predictions are generally based
on the relationship between the rate of change of the system, or maybe the rate of
change of the rate of change, and circumstances in the system environment. Usually
real quantities of interest depend not only on passage of time, but on other factors
as well, such as spatial variations of properties within the system and its environment.
A prime example is our weather. The air pressure and the temperature both change during
the day, and they are different in different parts of the world, so they change also
in space.

Multivariate differential calculus provides the fundamental tools
for modelling system changes when more than one important parameter is responsible
for those changes. It is particularly fundamental to all of the physical and natural
sciences and to all situations requiring the modelling of rates of change.

In
this paper, many of the ideas and techniques of one-variable differentiation and integration
(as covered in MATH 160 and 170) are generalised to functions of more than one variable.
The simplest case deals with functions of the form z=f(x,y) (i.e. functions whose
graph is a surface in three-dimensional space). Such surfaces can be drawn with the
aid of level curves of the function. Paths of steepest ascent (or descent) along the
surface may eventually lead to local or global extremum values of the function, which
generally have particular physical significance.

Other important notions
covered in the paper are vector fields (such as flow fields of a fluid) and their
properties and the fundamental integral identities that express conservation laws,
such as the conservation of energy and momentum in Physics or the conservation of
mass in Chemistry.

Paper title | Calculus of Several Variables |
---|---|

Paper code | MATH203 |

Subject | Mathematics |

EFTS | 0.1500 |

Points | 18 points |

Teaching period | First Semester |

Domestic Tuition Fees | Tuition Fees for 2020 have not yet been set |

International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |

- Prerequisite
- MATH 170
- Restriction
- MATH 251
- Schedule C
- Arts and Music, Science
- Eligibility
- This paper is particularly relevant to Mathematics, Statistics and Physics majors, but should appeal to a wide variety of students, including those studying Computer Science, Chemistry, Surveying or any discipline requiring a quantitative analysis of systems and how they change with space and time.
- Contact
- maths@otago.ac.nz
- More information link
- View more information about MATH 203
- Teaching staff
- Professor Jōrg Frauendiener
- Paper Structure
- Main topics:
- Vector-valued functions, vector fields, scalar fields
- Partial derivatives, directional derivatives
- Gradient, divergence and curl
- Total differential
- Taylor's theorem for functions of several variables
- Inverse and implicit function theorems
- Local extrema, Lagrange multipliers
- Integrals over regions in two and three dimensions
- Mean value theorems for functions of several variables
- Iterated integrals
- Change of variables
- The theorems of Green and Stokes

- Teaching Arrangements
- Three 1-hour lectures per week for 13 weeks.
- Textbooks
- Required: J. Stewart, Calculus (7th edition, metric version).
- Course outline
- View course outline for MATH 203
- Graduate Attributes Emphasised
- Communication, Critical thinking.

View more information about Otago's graduate attributes. - Learning Outcomes
- Demonstrate in-depth understanding of the concepts, results and methods of the paper