4.1 The concept of multiple integral

D⊆Rn is a bounded closed set, f:D→R,

    ∫
I =     f(x)dμ (x )
      D

is the multiple integral where dμ(x) is the n-dimension volume infinitesimal at x.

Recall: Riemann integral of 1-dimension.

     ∫ b          ∫

I =   a f(x )dx  =  [a,b]f(x)dx

Definition 4.1.1 Riemann sum. Given a partition P of [a,b]:

a = x  < x  <  ⋅⋅⋅ < x   <  x  = b
     0     1         n− 1    n

and a set of symbol points ξk∈[xk−1,xk], then

            ∑n
S(f,P, ξ) =     f(ξk)(◟xk-−◝x◜k−1)◞
            k=1       = Δxk=|Ik|

∀ϵ>0, ∃δ(ϵ)>0 such that ∀ a partition P,

m1≤akx≤n|xk − xk−1| < δ(𝜖) ⇒ ∀ξ = { ξk|ξk ∈ Ik},|S(f,P, ξ) − I| < 𝜖

Then f is Riemann integrable on [a,b].

Definition 4.1.2 Darboux. Assuming f:[a,b]→R is bounded1, given a partition P, let S―(f,P)=∑k=1nsupx∈Ikf(x)|Ik|S―(f,P)=∑k=1ninfx∈Ikf(x)|Ik|S―(f,P)≤S(f,P,ξ)≤S―(f,P)

If P is more dense, then S―(f,P) decreases and S―(f,P) increases. If ∀ϵ>0, ∃ a partition P such that

I − 𝜖 < S (f,P ) ≤ I ≤ S(f,P ) < I + 𝜖 ⇔ S-(f,P ) − S (f,P ) < 2𝜖
        --                                         --

Then f is Darboux integrable on [a,b].

Theorem 4.1.3 The following 3 statements are equivalent.

1.

(Riemann) f is Riemann integrable on [a,b].

2.

(Darboux) f is Darboux integrable on [a,b].

3.

(Lebesgue) f is bounded, and {x∈[a,b]|x is the discontinuity of f} is a set of measure 0.

Definition 4.1.4 A⊆R is a set of measure 0 if ∀ϵ>0, ∃ countable intervals I1,...,In,... such that A⊆I1∪⋯∪In∪⋯ and ∑k≥1|Ik|<ϵ.

Corollary 4.1.5 All continuous functions on [a,b] are integrable. All monotonous functions on [a,b] are integrable.

Rectangle in Rn.

Definition 4.1.6 Assuming

                                           n
R = [a1,b1] × [an,bn] = {x = (x1,...,xn ) ∈ ℝ |ai ≤ xi ≤ bi,i = 1,...,n}

then u(R)=(b1−a1)⋅⋯⋅(bn−an) is called the n-dimension volume of R.

Definition 4.1.7 R1,...,RN are the partition P of the rectangle R if

  • R=R1∪⋯∪RN where Rk are all rectangles.
  • Ri∩Rj⊆∂Ri∩∂Rj, ∀i,j.

Definition 4.1.8 Riemann sum in higher dimension.

             N
            ∑
S (f,P,ξ) =     f(ξk)◟|Rk◝◜|◞
            k=1      μ(Rk)

f is Riemann integrable on rectangle R if ∃I∈R such that ∀ϵ>0, ∃δ(ϵ)>0 such that for any partition P={Rk|1≤k≤N} of R,

max   sup  ∥x − y ∥ < δ(𝜖) ⇒ ∀ξ = { ξk|ξk ∈ Rk },|S (f,P,ξ ) − I| < 𝜖
1≤k≤nx,y∈Rk

Mark

     ∫
I =     f(x)dμ(x )
      R

as the Riemann integral of f on R. When the dimension n>1, it’s also called the multiple integral.

Definition 4.1.9 Darboux.

--        ∑N                                ∑N
S(f,P ) =     sup f(x )μ (Rk),     S(f,P ) =     inf f(x )μ (Rk)
          k=1 x∈Rk                          k=1 x∈Rk

f is Darboux integral on rectangle R if ⋯

Theorem 4.1.10 The following 3 statements are equivalent for any function defined on rectangle f:R→R.

1.

(Riemann) f is Riemann integrable on [a,b].

2.

(Darboux) f is Darboux integrable on [a,b].

3.

(Lebesgue) f is bounded, and {x∈R|x is the discontinuity of f} is a set of measure 0.

Corollary 4.1.11 All continuous functions on bounded closed rectangle R are integrable.

Assuming D is a bounded closed set of any shape, f:D→R, how to seek ∫Df(x)dμ(x)?

Thus, we have

Definition 4.1.12 Assuming D is a bounded closed set where ∂D is a set of measure 0, f:D→R. Let rectangle R∈Rn satisfy D⊆R, construct

fR =

If fR is integrable on R, then f is integrable on D, and

∫               ∫
   f(x)d μ(x) =    f (x )d μ(x)
 D               R  R

Corollary 4.1.13 If D is bounded closed where ∂D is a set of measure 0, then all continuous functions on D is integrable.

Corollary 4.1.14 Indicator function

1D (x ) =

is Riemann integrable on D, define μ(D)=∫D1⋅dμ(x).

Properties. Let R(D)={f:D→R is Riemann integrable}, C(D)⊊R(D).
1.

Linearity. R(D) is a linear space, f↦∫Dfdμ is linear, i.e. ∀f,g∈R(D), ∀α,β∈R, αf+βg∈R(D) and

∫                   ∫          ∫

  (αf  + βg)d μ = α    fdμ +  β   gd μ
 D                   D           D
2.

Isotonicity. f,g∈R(D) and ∀x,f(x)≤g(x), then

∫             ∫

    f(x)dμ ≤     g(x)dμ
  D            D
3.

Triangle inequality. f∈R(D)⇔|f|∈R(D), and −|f|≤f≤|f|, so

      ∫                   ∫

∖left|   f (x)dμ∖right | ≤   |f(x )|dμ
        D                   D
4.

Cauchy-Schwartz inequality. f,g∈R(D)⇒fg∈R(D), then

                                ---------------------
      ∫                       ∘ ∫         ∫
∖lef t|   f(x)g(x)dμ ∖right| ≤      f(x )dμ    g(x)dμ
       D                         D          D
5.

Integral mean theorem. Assuming D is (path-)connected, g∈R(D) and g(x)≥0, f∈C(D)⊆R(D), then ∃ξ∈D, such that

∫                     ∫

   f(x)g(x)d μ = f(ξ)    g(X )dμ
 D                     D

When the denominator is non-zero, we have

        ∫
          f (x)g(x)dμ
f(ξ) =  -D∫------------
           D g(x)dμ

It is a weighted mean of f where g is the weight.

1It could be proved from the definition of Riemann sum that if f is Riemann integrable, then f is bounded on [a,b].