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HomeCalculus II: Integral Calculus - Integration, Series, and Parametric EquationsStudy Guide: Moments and Centers of Mass
Study Guide1,050 words

Study Guide: Moments and Centers of Mass

Moments and Centers of Mass

Learning Objectives

  • Calculate the moment and center of mass for a system of discrete point masses on a 1D line.
  • Understand how to calculate moments with respect to the xxx- and yyy-axes for point masses in a 2D plane.
  • Set up and evaluate integrals to find the mass, moments, and centroid of a continuous planar lamina bounded by a single function and the xxx-axis.
  • Compute the coordinates of the center of mass for a planar region bounded by two continuous functions.

Key Terms & Glossary

  • Point Mass: An idealized mathematical object that has a specified mass but no physical dimensions or volume.
  • Moment: A quantitative measure of the tendency of a mass to cause rotation about a specific axis or fulcrum.
  • Center of Mass: The unique point in a system where the weighted relative position of the distributed mass sums to zero; the perfect "balancing point."
  • Lamina: A very thin, flat continuous plate of material of uniform thickness.
  • Centroid: The geometric center of a 2D lamina, which aligns perfectly with the center of mass when the lamina's density is strictly uniform.
  • Density (rho\\rhorho): The mass per unit area of a 2D lamina, assumed constant when purely finding a geometric centroid.

The "Big Idea"

The foundational concept of a center of mass starts with the physical intuition of balancing a seesaw. If you place different weights (point masses) at different distances along a rigid board, the board will only balance at a specific fulcrum point where the rotational tendencies (the moments) perfectly cancel each other out.

Calculus scales this idea from a discrete collection of weights to a continuous object. By slicing a 2D shape (a lamina) into an infinite number of infinitesimally thin vertical rectangles, we can treat each rectangle as a tiny point mass. Integrating the moments of all these "point masses" allows us to find the exact balancing coordinates (barx,bary)(\\bar{x}, \\bar{y})(barx,bary) of any continuous shape, no matter how complex the bounding curves are.


Formula / Concept Box

ConceptMass Equation ($m)Moment Equations (M_x,, ,M_y,, ,M_0$)Center of Mass Coordinate(s)
1D Point Massesm=sumi=1nmim = \\sum_{i=1}^n m_im=sumi=1n​mi​M0=sumi=1nmixiM_0 = \\sum_{i=1}^n m_i x_iM0​=sumi=1n​mi​xi​barx=fracM0m\\bar{x} = \\frac{M_0}{m}barx=fracM0​m
2D Point Massesm=sumi=1nmim = \\sum_{i=1}^n m_im=sumi=1n​mi​Mx=sumi=1nmiyiM_x = \\sum_{i=1}^n m_i y_iMx​=sumi=1n​mi​yi​, My=sumi=1nmixiM_y = \\sum_{i=1}^n m_i x_iMy​=sumi=1n​mi​xi​barx=fracMym,bary=fracMxm\\bar{x} = \\frac{M_y}{m}, \\bar{y} = \\frac{M_x}{m}barx=fracMy​m,bary=fracMx​m
Lamina (1 Curve)m=rhointabf(x),dxm = \\rho \\int_a^b f(x) \\, dxm=rhointab​f(x),dxMx=rhointabfrac12[f(x)]2,dxM_x = \\rho \\int_a^b \\frac{1}{2}[f(x)]^2 \\, dxMx​=rhointab​frac12[f(x)]2,dx, My=rhointabxf(x),dxM_y = \\rho \\int_a^b x f(x) \\, dxMy​=rhointab​xf(x),dxbarx=fracMym,bary=fracMxm\\bar{x} = \\frac{M_y}{m}, \\bar{y} = \\frac{M_x}{m}barx=fracMy​m,bary=fracMx​m
Lamina (2 Curves)m=rhointab[f(x)−g(x)],dxm = \\rho \\int_a^b [f(x) - g(x)] \\, dxm=rhointab​[f(x)−g(x)],dxMx=rhointabfrac12([f(x)]2−[g(x)]2),dxM_x = \\rho \\int_a^b \\frac{1}{2}([f(x)]^2 - [g(x)]^2) \\, dxMx​=rhointab​frac12([f(x)]2−[g(x)]2),dx
My=rhointabx[f(x)−g(x)],dxM_y = \\rho \\int_a^b x[f(x) - g(x)] \\, dxMy​=rhointab​x[f(x)−g(x)],dx
barx=fracMym,bary=fracMxm\\bar{x} = \\frac{M_y}{m}, \\bar{y} = \\frac{M_x}{m}barx=fracMy​m,bary=fracMx​m

[!IMPORTANT] When the question strictly asks for the centroid of a geometric region rather than the center of mass of a physical plate, the constant uniform density rhowilleventuallycanceloutinthedivisionfracMm\\rho will eventually cancel out in the division \\frac{M}{m}rhowilleventuallycanceloutinthedivisionfracMm.


Hierarchical Outline

  • 1. Systems of Discrete Point Masses
    • 1.1. On a 1D Number Line
      • Sum of individual masses yields total mass (mmm).
      • Sum of (mass timescoordinate)yieldsMomentw.r.ttheorigin(M0\\times coordinate) yields Moment w.r.t the origin (M_0timescoordinate)yieldsMomentw.r.ttheorigin(M0​).
    • 1.2. In a 2D Coordinate Plane
      • Uses x−coordinatestofinddistancefromyx-coordinates to find distance from yx−coordinatestofinddistancefromy-axis (MyM_yMy​).
      • Uses y−coordinatestofinddistancefromxy-coordinates to find distance from xy−coordinatestofinddistancefromx-axis (MxM_xMx​).
  • 2. Center of Mass of a Continuous Lamina
    • 2.1. Region Bounded by One Curve (f(x)f(x)f(x))
      • Uses representative vertical rectangles.
      • Height is f(x),centroidoftherectangleisat(x,fracf(x)2)f(x), centroid of the rectangle is at (x, \\frac{f(x)}{2})f(x),centroidoftherectangleisat(x,fracf(x)2).
    • 2.2. Region Bounded by Two Curves (f(x)f(x)f(x) and g(x)g(x)g(x))
      • Region is between a top curve f(x)andabottomcurveg(x)f(x) and a bottom curve g(x)f(x)andabottomcurveg(x).
      • The rectangle height becomes f(x)−g(x)f(x) - g(x)f(x)−g(x).
      • The rectangle's y−centroidshiftstotheaverageheight:fracf(x)+g(x)2y-centroid shifts to the average height: \\frac{f(x) + g(x)}{2}y−centroidshiftstotheaverageheight:fracf(x)+g(x)2.

Visual Anchors

1. The Geometry of a 2D Lamina Centroid

Here is a geometric visualization of a lamina bounded by two functions, f(x)f(x)f(x) on top and g(x)g(x)g(x) on the bottom.

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2. Workflow for Calculating a Centroid

The mental algorithm for calculating the center of mass using integration.

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Definition-Example Pairs

  • Moment with respect to the yyy-axis (MyM_yMy​)

    • Definition: A measurement of how heavily a shape or mass distribution pulls horizontally, computed by multiplying the mass by its distance from the vertical axis (xxx-coordinate).
    • Real-World Example: When opening a heavy door, pushing closer to the handle (a large x−distancefromthehingesonthey−axis)createsalargermomentMyx-distance from the hinges on the y-axis) creates a larger moment M_yx−distancefromthehingesonthey−axis)createsalargermomentMy​, making it easier to rotate.
  • Centroid

    • Definition: The arithmetic mean position of all the points in a 2D shape.
    • Real-World Example: If you cut an arbitrary shape out of a piece of stiff cardboard (a uniform lamina), the centroid is the exact spot where you could balance the cardboard horizontally on the tip of a pencil.

Worked Examples

▶Example 1: Finding the Center of Mass along a 1D Line

Problem: Suppose four point masses are placed on a number line. Let the total mass of the system be m=12kg,andthetotalmomentofthesystemwithrespecttotheoriginbeM0=−6m = 12 kg, and the total moment of the system with respect to the origin be M_0 = -6m=12kg,andthetotalmomentofthesystemwithrespecttotheoriginbeM0​=−6 kg⋅\cdot⋅m. Find the center of mass.

Step-by-Step Breakdown:

  1. Identify Given Values:
    • Total mass, m=12m = 12m=12
    • Total moment, M0=−6M_0 = -6M0​=−6
  2. Apply the Center of Mass Formula:
    • The center of mass barx\\bar{x}barx is the moment divided by the total mass.
    • barx=fracM0m\\bar{x} = \\frac{M_0}{m}barx=fracM0​m
  3. Calculate:
    • barx=frac−612=−frac12\\bar{x} = \\frac{-6}{12} = -\\frac{1}{2}barx=frac−612=−frac12

Conclusion: The center of mass is located $1/2$ m to the left of the origin.

▶Example 2: Centroid of a Region Bounded by Two Functions

Problem: Find the centroid of the region bounded above by f(x)=xf(x) = xf(x)=x and below by g(x)=x2g(x) = x^2g(x)=x2 over the interval [0,1][0, 1][0,1]. Assume density \\rho = 1$$ for simplicity.

Step-by-Step Breakdown:

  1. Find the Mass (mmm):

    • m=int01(x−x2),dxm = \\int_0^1 (x - x^2) \\, dxm=int01​(x−x2),dx
    • m=left[fracx22−fracx33right]01=frac12−frac13=frac16m = \\left[ \\frac{x^2}{2} - \\frac{x^3}{3} \\right]_0^1 = \\frac{1}{2} - \\frac{1}{3} = \\frac{1}{6}m=left[fracx22−fracx33right]01​=frac12−frac13=frac16
  2. Find the Moment w.r.t the yyy-axis (MyM_yMy​):

    • My=int01x(x−x2),dx=int01(x2−x3),dxM_y = \\int_0^1 x(x - x^2) \\, dx = \\int_0^1 (x^2 - x^3) \\, dxMy​=int01​x(x−x2),dx=int01​(x2−x3),dx
    • My=left[fracx33−fracx44right]01=frac13−frac14=frac112M_y = \\left[ \\frac{x^3}{3} - \\frac{x^4}{4} \\right]_0^1 = \\frac{1}{3} - \\frac{1}{4} = \\frac{1}{12}My​=left[fracx33−fracx44right]01​=frac13−frac14=frac112
  3. Find the Moment w.r.t the xxx-axis (MxM_xMx​):

    • Mx=frac12int01([x]2−[x2]2),dx=frac12int01(x2−x4),dxM_x = \\frac{1}{2} \\int_0^1 ([x]^2 - [x^2]^2) \\, dx = \\frac{1}{2} \\int_0^1 (x^2 - x^4) \\, dxMx​=frac12int01​([x]2−[x2]2),dx=frac12int01​(x2−x4),dx
    • Mx=frac12left[fracx33−fracx55right]01=frac12left(frac13−frac15right)=frac12left(frac215right)=frac115M_x = \\frac{1}{2} \\left[ \\frac{x^3}{3} - \\frac{x^5}{5} \\right]_0^1 = \\frac{1}{2} \\left( \\frac{1}{3} - \\frac{1}{5} \\right) = \\frac{1}{2} \\left( \\frac{2}{15} \\right) = \\frac{1}{15}Mx​=frac12left[fracx33−fracx55right]01​=frac12left(frac13−frac15right)=frac12left(frac215right)=frac115
  4. Calculate Coordinates:

    • barx=fracMym=frac1/121/6=frac12\\bar{x} = \\frac{M_y}{m} = \\frac{1/12}{1/6} = \\frac{1}{2}barx=fracMy​m=frac1/121/6=frac12
    • bary=fracMxm=frac1/151/6=frac615=frac25\\bar{y} = \\frac{M_x}{m} = \\frac{1/15}{1/6} = \\frac{6}{15} = \\frac{2}{5}bary=fracMx​m=frac1/151/6=frac615=frac25

Conclusion: The centroid of the region is (\\frac{1}{2}, \\frac{2}{5}))).


Checkpoint Questions

  1. Why do we use the x−coordinatetocalculatethemomentwithrespecttotheyx-coordinate to calculate the moment with respect to the yx−coordinatetocalculatethemomentwithrespecttothey-axis (MyM_yMy​)?

    Self-Check Hint: Remember the definition of a moment. A moment is mass times the perpendicular distance to the axis of rotation. The distance from any point (x,y)(x,y)(x,y) to the y−axisishorizontallymeasuredbyitsxy-axis is horizontally measured by its xy−axisishorizontallymeasuredbyitsx-coordinate.

  2. If you are tasked with finding the geometric centroid of a lamina, what happens to the density variable \\rho$$ in your calculations?

    Self-Check Hint: Since a centroid assumes uniform density, \\rho$$ is a constant. It appears in the numerator (moments) and the denominator (mass), ultimately canceling out completely.

  3. When setting up the integral for M_x for a region bounded by two curves, why is the integrand \\frac{1}{2}([f(x)]2−[g(x)]2)( [f(x)]^2 - [g(x)]^2 )([f(x)]2−[g(x)]2) instead of \\frac{1}{2}[f(x)−g(x)]2[f(x) - g(x)]^2[f(x)−g(x)]2?

    Self-Check Hint: We subtract the moment of the empty space below the region from the moment of the region extending all the way down to the xxx-axis. (a2−b2)(a^2 - b^2)(a2−b2) is the difference of the squares, not the square of the difference.

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