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Iterated integral
In multivariable calculus, an iterated integral is the result of applying integrals to a function of more than one variable (for example or ) in such a way that each of the integrals considers some of the variables as…
Iterated integral
In multivariable calculus, an iterated integral is the result of applying integrals to a function of more than one variable (for example \(f(x,y)\) or \(f(x,y,z)\)) in such a way that each of the integrals considers some of the variables as given constants. For example, the function \(f(x,y)\), if \(y\) is considered a given parameter, can be integrated with respect to \(x\), \(\int f(x,y)\,dx\). The result is a function of \(y\) and therefore its integral can be considered. If this is done, the result is the iterated integral
\(\int\left(\int f(x,y)\,dx\right)\,dy.\)
The alternative notation for iterated integrals
\(\int dy \int dx \, f(x,y)\)
is also used.
In the notation that uses parentheses, iterated integrals are computed following the operational order indicated by the parentheses starting from the most inner integral outside. In the alternative notation, writing \(\int dy \, \int dx \, f(x, y)\), the innermost integrand is computed first.
Versus multiple integrals
It is key for the notion of iterated integrals that this is different, in principle, from the multiple integral
\(\iint f(x,y)\,dx\,dy.\)
In general, although these two can be different, Fubini's theorem states that under specific conditions, they are equivalent.
A simple computation
For the iterated integral
\(\int\left(\int (x+y) \, dx\right) \, dy\)
the integral
\(\int (x+y) \, dx = \frac{x^2}{2} + yx + c_1\)
is computed first and then the result is used to compute the integral with respect to y.
\(\int \left(\frac{x^2}{2} + yx + c\right) \, dy = \frac{yx^2}{2} + \frac{xy^2}{2} + c_1y + c_2\)
This example omits the constants of integration. After the first integration with respect to x, we would rigorously need to introduce a "constant" function of y. That is, If we were to differentiate this function with respect to x, any terms containing only y would vanish, leaving the original integrand. Similarly for the second integral, we would introduce a "constant" function of x, because we have integrated with respect to y. In this way, indefinite integration does not make very much sense for functions of several variables.
Lack of commutativity
The order in which the integrals are computed is important in iterated integrals, particularly when the integrand is not continuous on the domain of integration. Examples in which the different orders lead to different results are usually for complicated functions as the one that follows.
Define the sequence a_0=0 \(f(x,y)=\sum_{n=0}^\infty \left( g_n(x)-g_{n+1}(x)\right)g_n(y).\) In the previous sum, at each specific \((x,y)\), at most one term is different from zero.
For this function it happens that \(\int_0^1 \left(\int_0^1 f(x,y) \,dy\right)\,dx =\int_0^{a_1}\left(\int_0^{a_1}g_0(x)g_0(y)\,dy\right)\,dx= 1\neq0 = \int_0^1 0\,dy = \int_0^1 \left(\int_0^1 f(x,y)\, dx\right)\,dy\)
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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.
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Uphill: the direction of steepest increase, with length equal to that steepest slope. It is perpendicular to the level curves.
Bahagi ng pahinang ito ay naaayon mula sa Wikipedia (CC BY-SA 4.0). Condensed at muling ipinaliwanag dito; errors ay aming.
Higit pa sa Multivariable Calculus
Functions of several variablesPartial derivatives and the gradientOptimisation in several variablesDouble and triple integralsVector fields, line integrals and the big theorems