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Volume integral
Volume integral
from Wikipedia

In mathematics (particularly multivariable calculus), a volume integral (∭) is an integral over a 3-dimensional domain; that is, it is a special case of multiple integrals. Volume integrals are especially important in physics for many applications, for example, to calculate flux densities, or to calculate mass from a corresponding density function.

In coordinates

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Often the volume integral is represented in terms of a differential volume element . It can also mean a triple integral within a region of a function and is usually written as: A volume integral in cylindrical coordinates is and a volume integral in spherical coordinates (using the ISO convention for angles with as the azimuth and measured from the polar axis (see more on conventions)) has the form The triple integral can be transformed from Cartesian coordinates to any arbitrary coordinate system using the Jacobian matrix and determinant. Suppose we have a transformation of coordinates from . We can represent the integral as the following. Where we define the Jacobian determinant to be.

Example

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Integrating the equation over a unit cube yields the following result:

So the volume of the unit cube is 1 as expected. This is rather trivial however, and a volume integral is far more powerful. For instance if we have a scalar density function on the unit cube then the volume integral will give the total mass of the cube. For example for density function: the total mass of the cube is:

See also

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from Grokipedia
A volume integral, also known as a triple integral, is a mathematical operation that extends the concept of integration to by computing the of a scalar function f(x,y,z)f(x, y, z) over a bounded DD in R3\mathbb{R}^3. It is formally defined as the limit of a over partitions of the volume, where the volume element dVdV approximates contributions, and is typically evaluated using iterated integrals in Cartesian, cylindrical, or spherical coordinates. The notation for a volume integral is Df(x,y,z)dV\iiint_D f(x, y, z) \, dV, which, when f(x,y,z)=1f(x, y, z) = 1, directly yields of the region DD. This framework allows for the computation of physical and geometric quantities, such as the total of a with variable ρ(x,y,z)\rho(x, y, z) given by Dρ(x,y,z)dV\iiint_D \rho(x, y, z) \, dV, or of coordinates via weighted averages of these integrals. In applications, volume integrals are fundamental in for solving problems in , physics, and ; for instance, they underpin calculations of moments of , gravitational potential within a mass distribution, and flux through volumes in via the . Computation often involves setting up limits based on the region's boundaries, with the (six possible permutations for Cartesian coordinates) chosen for convenience, and transformations like determinants enabling efficient evaluation in non-rectangular domains.

Definition

Formal definition

The volume integral of a scalar function f:R3Rf: \mathbb{R}^3 \to \mathbb{R} over a bounded DR3D \subset \mathbb{R}^3 is defined as the limit of Riemann sums obtained by partitioning DD into subregions. For a partition PP consisting of disjoint rectangular boxes with volumes ΔVi=ΔxiΔyiΔzi\Delta V_i = \Delta x_i \Delta y_i \Delta z_i and sample points (xi,yi,zi)(x_i, y_i, z_i) in each box, the is if(xi,yi,zi)ΔVi\sum_i f(x_i, y_i, z_i) \Delta V_i, and the triple is Df(x,y,z)dV=limP0if(xi,yi,zi)ΔVi,\iiint_D f(x,y,z) \, dV = \lim_{\|P\| \to 0} \sum_i f(x_i, y_i, z_i) \Delta V_i, where P\|P\| denotes the norm of the partition (the maximum of the subregions) and the limit exists for continuous ff on the closed, DD. Here, dVdV is the volume element in R3\mathbb{R}^3, corresponding to the Lebesgue measure dmdm on measurable subsets. For continuous ff, the volume integral equals the iterated integral Df(x,y,z)dV=ab(c(z)d(z)(e(y,z)f(y,z)f(x,y,z)dx)dy)dz\iiint_D f(x,y,z) \, dV = \int_a^b \left( \int_{c(z)}^{d(z)} \left( \int_{e(y,z)}^{f(y,z)} f(x,y,z) \, dx \right) dy \right) dz over the projections of DD onto the coordinate planes, provided the limits reflect the boundaries of DD; this follows from Fubini's theorem for product measures. In the more general Lebesgue framework, DD must be a Lebesgue measurable set with finite measure (i.e., m(D)<m(D) < \infty), and ff must be integrable over DD, meaning fL1(D)f \in L^1(D) or Df(x,y,z)dV<\iiint_D |f(x,y,z)| \, dV < \infty. For oriented regions in R3\mathbb{R}^3, the volume integral may yield a signed volume, where the sign is determined by the orientation of DD relative to a chosen basis, often formalized using differential 3-forms such as dxdydzdx \wedge dy \wedge dz. This formulation generalizes the double integral from two to three dimensions in a natural way.

Geometric interpretation

The volume integral extends the intuitive notions from lower-dimensional integration. Just as a single integral computes the net area under a curve by summing infinitesimal rectangular areas weighted by the function value, and a double integral computes the net volume under a surface by summing infinitesimal prisms weighted similarly, a triple integral computes a weighted volume over a three-dimensional region DD. Here, the integrand f(x,y,z)f(x,y,z) acts as a density or intensity function, scaling the contribution of each infinitesimal volume element to reflect physical quantities like mass, charge, or probability density. To visualize this, imagine partitioning the solid region DD into a fine grid of small subvolumes, such as rectangular boxes or irregular tetrahedra, each with a tiny volume ΔVi\Delta V_i. For a representative point (xi,yi,zi)(x_i, y_i, z_i) within the ii-th subvolume, the function value f(xi,yi,zi)f(x_i, y_i, z_i) multiplies ΔVi\Delta V_i to approximate the local contribution. As the partition refines and the maximum subvolume size approaches zero, the total sum f(xi,yi,zi)ΔVi\sum f(x_i, y_i, z_i) \Delta V_i converges to the volume integral, capturing the accumulated weighted content across DD. This Riemann sum perspective underscores the integral's role in approximating continuous accumulation through discrete summation. For functions ff that vary in sign, such as oscillatory ones, the geometric interpretation involves signed contributions: regions where f>0f > 0 add to the total, while those where f<0f < 0 subtract, potentially leading to cancellation and a net signed volume that may differ from the absolute geometric volume. This allows the integral to model phenomena like net or balanced forces, where opposing effects offset each other. The foundational concept of integration traces back to in the late 17th century, who developed the infinitesimal approach to . Volume integrals, as a specific form of multiple integration, were further formalized in the and integrated into by J. Willard Gibbs and in the late , enabling their application to fields like through theorems relating surface and volume quantities.

Evaluation Methods

In Cartesian coordinates

In Cartesian coordinates, the volume element is given by dV=dxdydzdV = dx \, dy \, dz, allowing the volume integral of a function f(x,y,z)f(x, y, z) over a region DD in to be expressed as an iterated triple integral. Specifically, Df(x,y,z)dV=abg(x)h(x)p(x,y)q(x,y)f(x,y,z)dzdydx,\iiint_D f(x, y, z) \, dV = \int_a^b \int_{g(x)}^{h(x)} \int_{p(x,y)}^{q(x,y)} f(x, y, z) \, dz \, dy \, dx, where the are determined by the description of the DD, with the innermost integral over zz bounded by functions p(x,y)p(x,y) and q(x,y)q(x,y), the middle over yy by g(x)g(x) and h(x)h(x), and the outermost over xx from aa to bb. This form assumes integration in the order dzdydxdz \, dy \, dx, though other orders are possible depending on the region's . To set up the integral, project the region DD onto one of the coordinate planes, such as the xyxy-plane, to define the domain of integration there, then determine the bounds for the third variable based on that projection. For instance, if projecting onto the xyxy-plane yields a domain RR, the zz-limits are the lower and upper surfaces bounding DD, expressed as functions of xx and yy. Next, project RR onto the xx-axis to set the yy-limits as functions of xx, and finally, the xx-limits are the endpoints of that projection. This stepwise projection ensures the limits accurately describe DD without overlap or omission. For a simple rectangular D=[a,b]×[c,d]×[e,f]D = [a, b] \times [c, d] \times [e, f], the limits are constant, simplifying the to Df(x,y,z)dV=abcdeff(x,y,z)dzdydx.\iiint_D f(x, y, z) \, dV = \int_a^b \int_c^d \int_e^f f(x, y, z) \, dz \, dy \, dx. This form is straightforward to evaluate, as each separates independently if ff is separable. For example, the volume of the is obtained by setting f=1f = 1, yielding (ba)(dc)(fe)(b - a)(d - c)(f - e). Non-rectangular regions, defined by inequalities such as those for or polyhedra, require variable limits derived from the bounding surfaces. For a D={(x,y,z)x2+y2+z21}D = \{ (x,y,z) \mid x^2 + y^2 + z^2 \leq 1 \}, project onto the xyxy-plane to get the disk R:x2+y21R: x^2 + y^2 \leq 1, with zz-limits 1x2y2-\sqrt{1 - x^2 - y^2}
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