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new file mode 100644 index 0000000..83f2f31 Binary files /dev/null and b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Exercise-pictures/10.5-3.png differ diff --git a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.pdf b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.pdf index c3bcc35..9dbee77 100644 Binary files a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.pdf and b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.pdf differ diff --git a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.typ b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.typ index e69de29..74cc336 100644 --- a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.typ +++ b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Graphs and the Cantor-Schröder-Bernstein theorem.typ @@ -0,0 +1,184 @@ +#import "@local/dtu-template:0.5.1":* + +#show: dtu-note.with( + course: "01017", + course-name: "Discrete Mathematics", + title: "Lecture - November 27, 2025", + date: datetime(day: 27, month: 11, year: 2025), + author: "Rasmus Rosendahl-Kaa (S255955)", + semester: "2025 Fall", +) + += Graphs + +== Konigsberg Bridge problem +Consider a river with an island, and where it diverges into two streams. There are 7 bridges to the island. + +#image("Lecture-pictures/Konigsberg Bridge Problem.png") + +Can you start somewhere and walk over every bridge without walking over a bridge more than once. + +*Solution:*\ +The layout of the bridges doesn't matter. You can represent the island, and the land areas as points. So 4 points, and lines between them. What you have is a graph. The points are *vertexes* and the lines/curves are *edge* (you can have single-edges, double-edges, and so on). If you have more than 3 vertexes between two vertexes, its called a multiple edge. A loop is an edge looping to the same vertex. + +If there are no loops or multiple edges, the graph is called _simple_. + +#definition(title: "Vertex")[ +A vertex is the points in the graph. + +$V(G)={v_1,v_2,dots,v_n}$ are the vertices in graph $G$ + +An isolated vertex is a singular vertex with no edges. +] + +#proof()[ + Assume $G$ is connected and every vertex has even degree. We shall find a closed Euler walk.\ + You start in a vertex $s$ and go to a random neighbor. Continue this until you can't anymore. You _will_ stop in $s$ because else $s$ will always have degree 1. + + This doesn't prove it necessarily because you don't know if some vertex has another edge. Though you can solve this by starting from the vertex that has more edges, and assuming that is a smaller graph, so you complete that. +] + +#theorem()[ + A graph $G$ has a closed Euler walk if and only if ($<=>$) every vertex has even degree and $G$ is connected. +] + +#definition(title: "Degree")[ + The amount of edges going out of a vertex. +] + +#definition(title: "Euler circuit/walk/tour")[ +*Closed (circuit):*\ +You start in a vertex $s$ and go through every edge precisely once and return in $s$. + +*Open (path):*\ +The same as closed, but you return to $t$, not $s$ +] + +#definition(title: "Connected")[ +A graph is called connected when there's a path between every vertexes ($forall x,y in V(G)$).\ +If not, it is called *disconnected*. + +- *Strongly connected:* A directed graph is strongly connected if there is a path from a to b and from b to a whenever a and b are vertices in the graph. +- *Weekly connected:* A directed graph is weakly connected if there is a path between every two vertices in the +underlying undirected graph. +] +#definition(title: "Connected component (piece)")[ +For a graph, there is not connected, you can have connected components. Is is a subgraph of the graph that is connected. + +You can also call it the maximal connected subgraph +] + +== Degree sequence +#definition(title: "Complete")[ +A complete graph of _n_ vertices, denoted $K_n$, is a simple graph that contains exactly one edge between each pair of distinct vertices. Like a tetrahedron +#image("Lecture-pictures/Tetrahedron.svg",width: 50%) + +A tetrahedron can be realized as a degree sequence ($3,3,3,3$) +] + + + +#definition(title: "Degree Sequence")[ + The *degree sequence* of a graph is a list of the degrees of its vertices, usually written in non-increasing order. + + For example, if a graph has vertices with degrees 3, 2, 2, and 1, its degree sequence is (3, 2, 2, 1). +] + +#lemma()[ +*Hand shaking Lemma* + +For a graph $G$ with vertices $v_1,v_2,dots,v_n$ and degrees\ $deg(v_1),deg(v_2),dots,deg(v_n)$. +$ +sum^(n)_(i=1)deg(v_i)=2|E(G)| +$ +#proof()[ +Each edge is contributing to the total degree twice, so the sum of the degrees are just the twice the amount of edges. +] + +Every graph has an even number of odd-degree vertices, because to get an even degree you can't have a single odd degree. +] + +#definition(title: "Path")[ +The path is a line of vertices. $P_n$ +] +#definition(title: "Cycle")[ +#image("Lecture-pictures/Cycle.png") + +] +#definition(title: "Wheel")[ +#image("Lecture-pictures/Wheel.png") +] +#definition(title: "n-cube")[ +#image("Lecture-pictures/n-Cube.png") +$Q_n$ + +$ V(Q_n)={(x_1,x_2,dots, x_(n))| x_(i) in {0,1}} $ + +Two vertices $(x_1,dots,x_n)$ and $(y_1,dots,y_n)$ are neighbors if and only if $exists ! i : x_i eq.not y_i$ +] + +#definition(title: "Tree and forest")[ +A tree (like a family tree) is also a graph. It is a connected graph without cycle + +A forest is a (_non-connected_) graph without cycle +] + +#definition(title: "Bipartite")[ +A bipartite graph with $"bipartite"(V_1,V_2)$ is a graph with $V(G)=V_1 union V_2$ and all its edges go from $V_1 "to" V_2$ + +] + + +== The marriage problem +You have a collection of men (set $V_1$) and a collection of women (set $V_2$). Some man may know some women. + +The problem is: Can every man marry a women, when a man can only marry _one_ woman.\ +It will not be possible to solve if you have more men than women. Even if you have more women than men, there is a possibility of not all men having married, if, for example, 3 men know some 3 women out of 4, but there is a man who doesn't know any women. + +#theorem(title: "Hall's marriage problem")[ +A bipartite graph $G$ with bipartitian $V_1,V_2$ has a matching with $|V_1|$ edges if and only if: +$ forall S subset.eq V_1, |N(S)| >= |S| $ +which is called Hall's condition. + +So if you take 3 men, they should know at least 3 women. + +Hall's condition solves the marriage problem because you can take a subset containing one man, which then must be at least 1 (so every man will know at least one woman if Hall's condition is true). +] + +#definition(title: "Matching")[ +Every vertex has degree at most 1 +] + +== Isomorphism problem +#definition(title: "Isomorphism problem")[ +#image("Lecture-pictures/Isomorphism.jpg",width:40%) +$ G tilde.eq H <=>^("def") V(G)={v_1,v_2,dots,v_n}, V(H)={u_1,u_2,dots,u_n}\ +v_i v_j "is an edge" <=> u_i u_j "is an edge" +$ +A graph is isomorphism if, for every pair of vertices in one that are neighbors, a likewise pair should be in the other (though they can be arranged in a different way) +] + +== Adjacency matrix +#set math.mat(delim: "[") +#definition(title: "Adjacency matrix")[ +#image("Lecture-pictures/Adjacency-Matrix.jpg", width: 50%) +A matrix consisting of all the neighbors: + +$mat("",v_1,v_2,v_3,v_4;v_1,0,1,0,1;v_2,1,0,1,1;v_3,0,1,0,1;v_4,1,1,1,0)$ +] + +#definition(title: "Directed graph")[ +There is a path through the graph + +*Strongly directed:* A graph $D$ is strongly connected if and only f $forall x,y in V(D):$ D contains a directed path from $x$ to $y$ and from $y$ to $x$ + +*Weekly directed:* If you take all the directed away, you will be left with an undirected graph which is still connected. +] + +Strong component: The directed path is also the maximal connected graph. + +#definition(title: "Complementary")[ + The complementary graph $overline(G)$ of a simple graph $G$ has the same vertices as $G$. Two vertices are adjacent in $G$ if and only if they are not adjacent in $G$. Describe each of these graphs. + + A simple graph G is called self-complementary if $G$ and $overline(G)$ are isomorphic +] diff --git a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/Cycle.png b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/Cycle.png new file mode 100644 index 0000000..5871f7f Binary files /dev/null and b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/Cycle.png differ diff --git a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/Isomorphism.jpg b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/Isomorphism.jpg new file mode 100644 index 0000000..0f56d81 Binary files /dev/null and b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/Isomorphism.jpg differ diff --git a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Lecture-pictures/PXL_20251127_071126036.jpg b/Diskret Mat/Graphs 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+0000101593 00000 n +trailer +<< + /Size 195 + /Root 194 0 R + /Info 192 0 R + /ID [(eakdjdGr87FiY+ZUFN5oDA==) (eakdjdGr87FiY+ZUFN5oDA==)] +>> +startxref +101831 +%%EOF \ No newline at end of file diff --git a/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Opgaver.typ b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Opgaver.typ new file mode 100644 index 0000000..1459b0d --- /dev/null +++ b/Diskret Mat/Graphs and the Cantor-Schröder-Bernstein theorem/Opgaver.typ @@ -0,0 +1,68 @@ +#import "@local/dtu-template:0.5.1":* + += 10.1 +== 11 +Let $G$ be a simple graph. Show that the relation $R$ on the set of vertices of $G$ such that $u R v$ if and only if there is an edge associated to ${u, v}$ is a symmetric, irreflexive relation on G. +#solution[ +- *Symmetric:* If $u$ is connected to $v$, then $v$ is connected to $u$ +- *Irreflexive:* Because you are looking at a simple graph, then there will not be a loop. +] += 10.2 +== 5 +_Can a simple graph exist with 15 vertices each of degree five?_ +#solution[ +No because the total degree would be uneven +] +== 43 +_How many edges does a graph have if its degree sequence is $5, 2, 2, 2, 2, 1$? Draw such a graph._ +#solution[ +$(5+2+2+2+2+1)/2=7$ +] +== (53) += 10.3 +== (7) +_Represent the graph in Exercise 3 with an adjacency matrix._ +#image("Exercise-pictures/10.3-7.png",width: 40%) +#set math.mat(delim: "[") +#solution[ +$mat("",a,b,c,d;a,1,1,1,1;b,0,0,0,1;c,1,1,0,0;d,0,1,1,1)$ +] +== 57 +_For which integers $n$ is $C_n$ self-complementary?_ +#solution[ +n=5 only +] += 10.4 +== 9 +_Explain why in the collaboration graph of mathematicians (see Example 3 in Section 10.1) a vertex representing a mathematician is in the same connected component as the vertex representing Paul Erdős if and only if that mathematician has a finite Erdős number._ + +#solution[ +Because if a mathematician has a finite Erdos number, then there must be a path of mathematicians who have collaborated connecting them to Erdo. +] +== 11 +_Determine whether each of these graphs is strongly connected and if not, whether it is weakly connected._ +#image("Exercise-pictures/10.4-11.png", width: 50%) +#solution[ +/ a): No. Because of a. But it is weekly connected +/ b): No. Because of a-e-b-a. But it is weekly connected. +/ c): Neither, because of the two subgraphs are not connected +] += 10.5 +_In Exercises 1–8 determine whether the given graph has an Euler circuit. Construct such a circuit when one exists. If no Euler circuit exists, determine whether the graph has an Euler path and construct such a path if one exists._ +== (1) +#image("Exercise-pictures/10.5-1.png", width: 40%) +#solution[ +Neither +] +== 3 +#image("Exercise-pictures/10.5-3.png", width: 40%) +#solution[ +No Euler circuit because a has degree 3. It has a path $a,b,e,b,d,e,a,c,e,c,d$ +] +== 13 +_In Exercises 13–15 determine whether the picture shown can be drawn with a pencil in a continuous motion without lifting the pencil or retracing part of the picture._ +#image("Exercise-pictures/10.5-13.png",width: 40%) +#solution[ +Yes, draw the triangles first, and then after draw the pentagon in the middle. Also, imagine if every time the lines cross, its a vertex, all the vertices have even edges. +] +