maths.free › Multivariable Calculus › Vector Calculus › Integrating Multivariable Vector-Valued Functions
Integrating Multivariable Vector-Valued Functions
In , we looked at the calculus of functions with one scalar input and multiple outputs, usually organized as a vector.
Integrating Multivariable Vector-Valued Functions
In , we looked at the calculus of functions with one scalar input and multiple outputs, usually organized as a vector. In we looked at measuring changes involving functions with multiple input variables and a single scalar output. In we looked at integration involving scalar valued multivariable functions. In this chapter, we will look at combining all of our multivariable function tools, as well as our vector tools, to look at the calculus of functions with multiple input variables and multiple output variables. This chapter is significantly longer than others in this text because there are many different measurements to investigate, as well as several fundamental thereoms used in applications of these new measurements.
The example of wind has been used several times in this text to describe a measurement that would require multiple inputs and outputs. In particular, wind will change over the points in some region (as well as changing over time). Additionally, wind requires a measurement of strength in each direction which is typically stored as a vector. Thus wind has multiple scalar inputs corresponding to the location of the measurement and multiple scalar outputs that measure the strength in coordinate directions.
Recognizing that not all institutions will cover all the material in the chapter on vector calculus, we have created the following chart for the dependencies of the topics in .
现在轮到你 没有计算器能解决这一个问题, 但其中的碎片是可以计算的。 请在下面尝试一个, 或者输入您自己的 。
此处所用符号
输入完整定义、图片和其中每个字母的含义的符号。
人们对人们提出的问题
What is a partial derivative?
The ordinary derivative with respect to one variable while every other variable is frozen: the slope of the surface in one coordinate direction.
What does the gradient point at?
Uphill: the direction of steepest increase, with length equal to that steepest slope. It is perpendicular to the level curves.
本页部分内容从 Boelkins et al., Active Calculus Multivariable (CC BY-SA 4.0). 在这里进行浓缩和重新解释;错误属于我们。
更多 Multivariable Calculus
Functions of several variablesPartial derivatives and the gradientOptimisation in several variablesDouble and triple integralsVector fields, line integrals and the big theorems