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Application of Integration: Probability (summary review)costanza/SCIE1/Feb27-cont.pdf ·...

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Application of Integration: Probability (summary review) A continuous random variable X has a probability density function f (x ), such that P (a X b)= R b a f (x )dx . In particular: f (x ) 0, R -∞ f (x )dx =1 the mean of f is μ = R -∞ xf (x ) dx the median of f is the number m such that R m f (x ) dx = 1 2 1/1
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Page 1: Application of Integration: Probability (summary review)costanza/SCIE1/Feb27-cont.pdf · Application of Integration: Probability (summary review) A continuous random variable X has

Application of Integration: Probability (summary review)

A continuous random variable X has a probability densityfunction f (x), such that

P(a ≤ X ≤ b) =∫ ba f (x)dx .

In particular: f (x) ≥ 0,∫∞−∞ f (x)dx = 1

• the mean of f is µ =∫∞−∞ x f (x) dx

• the median of f is

the number m such that∫∞m f (x) dx = 1

2

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Page 2: Application of Integration: Probability (summary review)costanza/SCIE1/Feb27-cont.pdf · Application of Integration: Probability (summary review) A continuous random variable X has

Application of Integration: Centre of Mass

Goal: compute the centre of mass of a lamina (thin, flat plate)

i.e. the point on which it balances horizontally.

For example:

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Page 3: Application of Integration: Probability (summary review)costanza/SCIE1/Feb27-cont.pdf · Application of Integration: Probability (summary review) A continuous random variable X has

Centre of mass of 1D objects

First: what is the centre of mass of several point masses on a line?If mass mk sits at position xk :

x =∑n

k=1 mkxk∑nk=1 mk

= Mm =

moment (about x = 0)

total mass

Next: what is the centre of mass of a continuous 1D object (wire,rod) a ≤ x ≤ b with given linear density (mass/unit length) ρ(x)?

x =∫ ba xρ(x)dx∫ ba ρ(x)dx

= Mm =

moment (about x = 0)

total mass

Example: Find the centre of mass of a wire 0 ≤ x ≤ L with (linear)density ρ(x) = k x :

m =∫ R0 ρ(x)dx = k

∫ R0 xdx = k x2

2 |L0 = k

2L2

M =∫ R0 xρ(x)dx = k

∫ R0 x2dx = k x3

3 |L0 = k

3L3

x = Mm =

k3L23k2L2

= 23L

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Page 4: Application of Integration: Probability (summary review)costanza/SCIE1/Feb27-cont.pdf · Application of Integration: Probability (summary review) A continuous random variable X has

Centre of mass of 2D laminaFirst: what is the centre of mass of several point masses in a plane?If mass mk sits at position (xk , yk): (x , y), where

x =∑n

k=1 mkxk∑nk=1 mk

=My

m , y =∑n

k=1 mkyk∑nk=1 mk

= Mxm

Next: what is the centre of mass (x , y) of a 2D lamina of constantdensity whose shape is the region below y = f (x), a ≤ x ≤ b?

x =My

m =ρ∫ ba xf (x)dx

ρ∫ ba f (x)dx

=∫ ba xf (x)dx∫ ba f (x)dx

= 1A

∫ ba xf (x)dx

y = Mxm =

ρ∫ ba

12[f (x)]2dx

ρ∫ ba f (x)dx

=∫ ba

12[f (x)]2dx∫ b

a f (x)dx= 1

A

∫ ba

12 [f (x)]2dx

The constant density cancels. We also call (x , y) the centroid.

Example: Find the centroid of {0 ≤ y ≤ 1− x2, 0 ≤ x ≤ 1}:M = A =

∫ 10 (1− x2)dx = (x − 1

3x3)|10 = 1− 1

3 = 23

My =∫ 10 x(1− x2)dx = (12x

2− 14x

4)|10 = 12 −

14 = 1

4 , x = 14/

23 = 3

8

Mx =∫ 10

12(1−x2)2dx = 1

2

∫ 10 (1−2x2+x4)dx = 4

15 , y = 4/152/3 = 2

5 4 / 1

Page 5: Application of Integration: Probability (summary review)costanza/SCIE1/Feb27-cont.pdf · Application of Integration: Probability (summary review) A continuous random variable X has

A little more on centroidsFor a region between two graphs, {g(x) ≤ y ≤ f (x), a ≤ x ≤ b}:

x = 1A

∫ ba x(f (x)− g(x))dx , y = 1

A

∫ ba

12([f (x)]2 − [g(x)]2)dx

Pappus’s Theorem: if a region of area A in the plane is rotatedabout a line L not intersecting it, the resulting volume isV = 2πrA , r = the distance from the region’s centroid to L.

Proof, for L = y−axis, and region {f (x) ≤ y ≤ g(x), a ≤ x ≤ b}:by “shells”, V = 2π

∫ ba x(g(x)− f (x))dx = 2πxA.

Example: Use Pappus to find the volume of a doughnut (torus).

A doughnut is obtained by rotating a disk of radius r about a linea distance R > r away from its centre. Pappus says:

V = 2πR(πr2) = 2π2Rr2 . (Fun: do this using “shells”.)

Challenge: Find the centre of mass of the unit upper half-disk if its(area) density (mass/unit area) is proportional to (a) the distancefrom the x-axis; (b) the distance from the y -axis.

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