#import "@local/dtu-template:0.6.0":* #show: dtu-note.with( course: "01002", author: "Rasmus Rosendahl-Kaa", course-name: "Matematik 1b", title: "Funktioner 1", date: datetime(year: 2026, month: 02, day: 03), semester: "Spring 2026" ) #set math.mat(delim: "[") #set math.vec(delim: "[") = Funktioner For at noget skal være en graf, må én input-værdi kun give én værdi. = Vektorfunktioner af flere variabler #definition(title: "3")[ Funtioner af typen $underline(f): A -> RR^k$ har $A="dom"(f) in RR^n$ kaldes vektorfunktioner af _n_ variable. $A="dom"(f)$ - Definitionsmængden (domæne)\ $RR^k="codom"(f)$ - Dispositionsmængden (co-domænen)\ $"im"(f)="Vm"(f)={underline(f)(x)|underline(x) in "dom"(f)}$ - Værdimængden/billedrummet (image/range). Alt hvad funktionen kan ramme\ $f=underline(x) |-> f(underline(x))$ Input: $underline(x) in RR^n$ - Søjlevektor i $RR^n$ Output: $underline(f(x)) in RR^k$ - Søjlevektor i $RR^k$ ] #example(title: "1.3.1")[ Lad $bold(A) in M_(k times n)(RR) = RR^(k times n)$ $ f: RR^n -> RR^k\ f(underline(x)) = A dot underline(x) (f= underline(x) |-> A underline(x)) $ $bold(A)=mat(1,2;2,4)$$ bold(A)(underline(x))&=mat(1,2;2,4)vec(x_1,x_2)\ &=vec(1x_1+2x_2,2x_1+4x_2)\ &=vec(1,2)x_1 + vec(2,4)x_2 $ Ligning: $f(underline(x))=underline(y) quad, underline(y) in "codom"(f)=RR^k$ Er den injektiv? Nej, $f(vec(-2,1))=f(vec(0,0))=vec(0,0)$ Er den surjektiv? Nej, $"im"(f)="span"_RR (vec(1,2),vec(2,4))="span"_RR (vec(1,2)) = {t vec(1,2)|t in RR} = "col"(bold(A))$ ] == Koordinatfunktioner #example()[ For vektorfunktionen: $bold(A)(underline(x))&=mat(1,2;2,4)vec(x_1,x_2)=vec(f_1 (underline(x)), f_2 (underline(x)))$ $f_1 (underline(x)) = 1 x_1 + 2 x_2$ ] $ underline(f)(underline(x))=vec(f_1 (underline(x)), f_2 (underline(x)), dots.v, f_k (underline(x)))\ f_i : bold(A) -> RR, i = 1, dots, k\ bold(A) = "dom"(f) $ #example(title: "1.2.2")[ $f: bold(A) -> RR, f(x_1, x_2) = sqrt(16 - x_1^2 - x_2^2)$ hvor $bold(A) = "dom"(f) in RR^2$ Typisk opgave: Hvad er $bold(A), "codom"(f), "im"(f)$ Find størst mulig $bold(A)$ $ 16 - x_1^2-x_2^2 >= 0\ 4^2 = 16 >= x_1^2 + x_2^2 $ $"codom"(f)=RR$\ $ f(0,0)=sqrt(16-0^2-0^2)=4\ f(4,0)=sqrt(16-4^2-0^2)=0 $ Så $"im"(f)=[0,4]$ ] #example(title: "1.3.2 (ReLu)")[ $ "ReLu"&: RR -> RR\ "ReLu"(x) &= "max"(0,x) = cases(x "," x>=0, 0 "," x<0) $ $ "ReLu": RR^n -> RR^n\ "ReLu"(underline(x))=vec("ReLu"(x_1),"ReLu"(x_2),dots.v,"ReLu"(x_n)) $ ] == Visualiseringer af funktioner (1.4 i bogen) $"Graf"(f)={(underline(x), underline(f)(underline(x))) in RR^(n+k) | underline(x) in "dom"(underline(f))}$ Se Eks 1.2.2. Ville kræve $n+k<= 3$ === Niveaukurver Niveaukurver for $c in "codom"(underline(f))$ - c: output ${underline(x) in "dom"(f) | underline(f)(underline(x))= underline(c)}$ == Neuralt netværk (Def 1.3.2) *1. lag:* $underline(x) mapsto sigma_1 (bold(A)_1 underline(x) + underline(b)_1) = underline(z)_1$ $bold(A)_1 in RR^(50 times 784)$ $ f_1 : RR^784 -> RR^50\ sigma_1 : RR^50 -> RR^50\ sigma_1 = "ReLu" $ *2. lag:* $ underline(z)_1 mapsto sigma_2 (bold(A)_2 underline(z)_1 + underline(b)_2) = underline(z)_2 in RR^10\ bold(A)_2 in RR^(10 times 50), underline(b)_2 in RR^(10 times 1) $ $ Phi = f_2 compose f_1, quad R^894 arrow RR^10\ f compose g(x) = f(g(x))\ Phi (underline(x)) = sigma_2 (bold(A)_2 sigma_1 (bold(A)_1 underline(x) + underline(b)_1) + underline(b)_2) $ = Kontinuitet #definition(title: "3.2.1")[ En funktion $f: "dom"(f) arrow RR, quad "dom"(f) in RR$ er kontinuert i $x_0 in A = "dom"(f)$ hvis $x arrow x_0 => f(x) arrow f(x_0)$ (ligning 3.1) ] Ligning 3.1 betyder at for ethvert $epsilon > 0$ findes der et $delta > 0$ således at $| x - x_0| < delta => |f(x) - f(x_0)| < epsilon$ $ forall epsilon > 0 exists delta > 0: |x-x_0| < epsilon => |f(x) - f(x_0)| < delta $ Funktionen $f$ er kontinuert hvis den er kontinuert i alle punkter i $"dom"(f)$ #example()[ Lad $a, b in RR$ $ f(x) = a x + b, quad f: RR arrow RR $ Påstanden: $f$ er kontinuert #solution()[ $ |f(x) - f(x_0)| &= | a x + b (a x_0 + b)|\ &= |a x - a x_0| = |a| |x - x_0| $ Lad $epsilon$ være givet. Vi vælger $delta = epsilon/(|a|)$. Så $ |x-x_0| < delta = epsilon/(|a|)\ => |f(x) - f(x_0)| = |a||x-x_0|\ < |a| epsilon/(|a|) = epsilon $ ] ] #example()[ $ h: RR arrow RR, quad h(x) = cases(1 quad x=> 0, 0 quad x<0) $ $h$ er diskontinuert i $x_0=0$. Lad $epsilon=1/2$. Der findes intet $delta >0$ : $ |x - x_0| < delta => |f(x)-f(x_0)| < 1/2\ |x| < delta => |f(x) - 1| < 1/2 $ Så $ f((-delta)/2) = 0\ f(delta/2)) = 1 $ $ |f((-delta)/2)-f(0)|\ = |0-1| = 1 $ Så funktionen er ikke kontinuert. ] #example()[ $ f: RR^2 arrow RR\ f(x,y) = cases((x^2y)/(x^4 + y^2) quad (x,y) eq.not (0,0), 0 quad (x,y) = (0,0)) $ Er $f$ kontinuert for alle $x,y) in RR^2$? #solution()[ Opstil y som graf af x, så $y = a x, quad a in RR$. Så fås $ f(x, a x) &= (x^2 a x)/(x^4 + a^2x^2)\ &= (a x)/(x^2 + a^2)\ &= (a x)/(x^2 + a^2) arrow 0/(0 + a^2) = 0, x arrow 0 $ Hvis $y = a x^2, quad a in RR$ $ f(x, a x^2) &= (x^2 a x^2)/(x^4 + a^2 x^4)\ &= a/(1 + a^2) $ Så funktionen er ikke kontinuert $(x,y)=(0,0)$ ] ] == Kontinuitet af vektorfunktioner #definition(title: "3.2.1")[ En funktion $f: "dom"(f) arrow RR, quad "dom"(f) in RR$ er kontinuert i $x_0 in A = "dom"(f)$ hvis $ ||arrow(f)(arrow(x))-arrow(f)(arrow(x)_0)|| arrow 0 "for" ||arrow(x)-arrow(x)_0)|| arrow 0 $ ] = Ortogonale vektor #example(title: "2.1.1")[ $ = arrow(x) dot arrow(y) = x_1 y_1 + x_2 y_2\ = $ $arrow(x) eq.not arrow(0)$ og $arrow(y) eq.not arrow(0)$ er ortogonale hvis prik-produkt (indre produkt) er nul: $ arrow(x) dot arrow(y) = 0 $ ] #definition(title: "2.1.2 og eq 2.6")[ Lad $FF=RR$ eller $CC$. For $arrow(x), arrow(y) in CC^n$ er det sædvanlige indre produkt givet ved: $ &=sum^k_(k=1) x_k y_k\ &=arrow(y)^T arrow(x)\ &= [y_1 y_2 dots y_n] dot vec(x_1, x_2, dots.v, x_3) $ ] #example()[ I $RR^4$. $arrow(x)=vec(0,1,-3,1), arrow(y)=vec(1,1,3,a)$. Hvilken værdi af $a in RR$ er disse ortogonale? #solution()[ $ &= 0 dot 1 + 1 dot 1 + (-3) dot 3 + 1 dot a\ = -8 + a <=> a = 8 $ ] ] = Norm/længe af vektor $ ||arrow(x)|| &= sqrt()\ &= sqrt(sum^n_(k=1) x_k overline(x_k))\ &=sqrt(sum^n_(k=1) |x_k|^2) $ Enhedsvektor hvis $||arrow(x)|| = 1$ = Kvadratiske former #definition(title: "1.2.1")[ $ q : RR^n arrow RR, q(arrow(x)) = arrow(x)^T bold(A) arrow(x) + arrow(b)^T arrow(x) + c\ bold(A) in RR^(n times n), arrow(b) in RR^n, c in RR $ ] #example()[ $n=2$. $ bold(A)=mat(-1,0;0,-2), arrow(b)=vec(0,0), c=0, arrow(x)=vec(x_1, x_2) $ $ q(arrow(x))&=mat(x_1,x_2) mat(-1,0;0,-2) vec(x_1, x_2) + mat(0,0) vec(x_1, x_2) + 0\ &= mat(x_1,x_2) vec(-x_1 + 0, 0-2x_2) = mat(x_1, x_2) vec(-x_1, 2x_2)\ &= -x_1^2 - 2x_2^2 $ ] = Delvis afledte #example()[ $ f: RR^2 arrow RR\ f(x_1, x_2) = 1 - (x_1^2)/2 - x_1 x_2^2 $ Laver ny funktion med kun én variabel: $ h(x_1) = 1 - x_1^2/2 - x_1 dot c_1, c_1 = x_2^2\ h'(x_1)=0- 2/2 x_1 - c_1 = -x_1 - x_2^2 $ $ (partial f)/(partial x_1) (arrow(x))= -x_1 - x_2^2 $ For $x_2$: $ g(x_2)=1-c_2 - c_3 x_2^2\ "hvor" c_2 = x_1^2/2, c_3 = x_1\ g'(x_2) = 0-0-2 c_3 x_2 $ Så: $ (partial f)/(partial x_2) (arrow(x)) = -2x_1 x_2 $ ] #definition(title: "3.2.2 (gradientvektoren)")[ $ arrow(nabla) f(arrow(x))= vec((partial f)/(partial x_1) (arrow(x)), (partial f)/(partial x_2) (arrow(x)), dots.v, (partial f)/(partial x_n) (arrow(x))) $ Den hører altid til i domænet af f. ] Gradientvektoren fra før: $ arrow(nabla) q (arrow(x)) = vec(-2x_1, -4x_2) $