P. 161 of Theorem List - Intuitionistic Logic Explorer

Theorem List for Intuitionistic Logic Explorer - 16001-16100   *Has distinct variable group(s)

Type	Label	Description
Statement
Theorem	usgrupgr 16001	A simple graph is an undirected pseudograph. (Contributed by Alexander van der Vekens, 20-Aug-2017.) (Revised by AV, 15-Oct-2020.)
|- ( G e. USGraph -> G e. UPGraph )
Theorem	usgruhgr 16002	A simple graph is an undirected hypergraph. (Contributed by AV, 9-Feb-2018.) (Revised by AV, 15-Oct-2020.)
|- ( G e. USGraph -> G e. UHGraph )
Theorem	usgrislfuspgrdom 16003*	A simple graph is a loop-free simple pseudograph. (Contributed by AV, 27-Jan-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   =>    |- ( G e. USGraph <-> ( G e. USPGraph /\ I : dom I --> { x e. ~P V | 2o ~<_ x } ) )
Theorem	uspgrun 16004	The union U of two simple pseudographs G and H with the same vertex set V is a pseudograph with the vertex V and the union ( E u. F ) of the (indexed) edges. (Contributed by AV, 16-Oct-2020.)
|- ( ph -> G e. USPGraph )   &    |- ( ph -> H e. USPGraph )   &    |- E = (iEdg ` G )   &    |- F = (iEdg ` H )   &    |- V = (Vtx ` G )   &    |- ( ph -> (Vtx ` H ) = V )   &    |- ( ph -> ( dom E i^i dom F ) = (/) )   &    |- ( ph -> U e. W )   &    |- ( ph -> (Vtx ` U ) = V )   &    |- ( ph -> (iEdg ` U ) = ( E u. F ) )   =>    |- ( ph -> U e. UPGraph )
Theorem	uspgrunop 16005	The union of two simple pseudographs (with the same vertex set): If <. V , E >. and <. V , F >. are simple pseudographs, then <. V , E u. F >. is a pseudograph (the vertex set stays the same, but the edges from both graphs are kept, maybe resulting in two edges between two vertices). (Contributed by Alexander van der Vekens, 10-Aug-2017.) (Revised by AV, 16-Oct-2020.) (Revised by AV, 24-Oct-2021.)
|- ( ph -> G e. USPGraph )   &    |- ( ph -> H e. USPGraph )   &    |- E = (iEdg ` G )   &    |- F = (iEdg ` H )   &    |- V = (Vtx ` G )   &    |- ( ph -> (Vtx ` H ) = V )   &    |- ( ph -> ( dom E i^i dom F ) = (/) )   =>    |- ( ph -> <. V , ( E u. F ) >. e. UPGraph )
Theorem	usgrun 16006	The union U of two simple graphs G and H with the same vertex set V is a multigraph (not necessarily a simple graph!) with the vertex V and the union ( E u. F ) of the (indexed) edges. (Contributed by AV, 29-Nov-2020.)
|- ( ph -> G e. USGraph )   &    |- ( ph -> H e. USGraph )   &    |- E = (iEdg ` G )   &    |- F = (iEdg ` H )   &    |- V = (Vtx ` G )   &    |- ( ph -> (Vtx ` H ) = V )   &    |- ( ph -> ( dom E i^i dom F ) = (/) )   &    |- ( ph -> U e. W )   &    |- ( ph -> (Vtx ` U ) = V )   &    |- ( ph -> (iEdg ` U ) = ( E u. F ) )   =>    |- ( ph -> U e. UMGraph )
Theorem	usgrunop 16007	The union of two simple graphs (with the same vertex set): If <. V , E >. and <. V , F >. are simple graphs, then <. V , E u. F >. is a multigraph (not necessarily a simple graph!) - the vertex set stays the same, but the edges from both graphs are kept, possibly resulting in two edges between two vertices. (Contributed by AV, 29-Nov-2020.)
|- ( ph -> G e. USGraph )   &    |- ( ph -> H e. USGraph )   &    |- E = (iEdg ` G )   &    |- F = (iEdg ` H )   &    |- V = (Vtx ` G )   &    |- ( ph -> (Vtx ` H ) = V )   &    |- ( ph -> ( dom E i^i dom F ) = (/) )   =>    |- ( ph -> <. V , ( E u. F ) >. e. UMGraph )
Theorem	usgredg2en 16008	The value of the "edge function" of a simple graph is a set containing two elements (the vertices the corresponding edge is connecting). (Contributed by Alexander van der Vekens, 11-Aug-2017.) (Revised by AV, 16-Oct-2020.) (Proof shortened by AV, 11-Dec-2020.)
|- E = (iEdg ` G )   =>    |- ( ( G e. USGraph /\ X e. dom E ) -> ( E ` X ) ~~ 2o )
Theorem	usgredgprv 16009	In a simple graph, an edge is an unordered pair of vertices. (Contributed by Alexander van der Vekens, 19-Aug-2017.) (Revised by AV, 16-Oct-2020.) (Proof shortened by AV, 11-Dec-2020.)
|- E = (iEdg ` G )   &    |- V = (Vtx ` G )   =>    |- ( ( G e. USGraph /\ X e. dom E ) -> ( ( E ` X ) = { M , N } -> ( M e. V /\ N e. V ) ) )
Theorem	usgredgppren 16010	An edge of a simple graph is a proper pair, i.e. a set containing two different elements (the endvertices of the edge). Analogue of usgredg2en 16008. (Contributed by Alexander van der Vekens, 11-Aug-2017.) (Revised by AV, 9-Jan-2020.) (Revised by AV, 23-Oct-2020.)
|- E = (Edg ` G )   =>    |- ( ( G e. USGraph /\ C e. E ) -> C ~~ 2o )
Theorem	usgrpredgv 16011	An edge of a simple graph always connects two vertices. Analogue of usgredgprv 16009. (Contributed by Alexander van der Vekens, 7-Oct-2017.) (Revised by AV, 9-Jan-2020.) (Revised by AV, 23-Oct-2020.) (Proof shortened by AV, 27-Nov-2020.)
|- E = (Edg ` G )   &    |- V = (Vtx ` G )   =>    |- ( ( G e. USGraph /\ { M , N } e. E ) -> ( M e. V /\ N e. V ) )
Theorem	edgssv2en 16012	An edge of a simple graph is a proper unordered pair of vertices, i.e. a subset of the set of vertices of size 2. (Contributed by AV, 10-Jan-2020.) (Revised by AV, 23-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (Edg ` G )   =>    |- ( ( G e. USGraph /\ C e. E ) -> ( C C_ V /\ C ~~ 2o ) )
Theorem	usgredg 16013*	For each edge in a simple graph, there are two distinct vertices which are connected by this edge. (Contributed by Alexander van der Vekens, 9-Dec-2017.) (Revised by AV, 17-Oct-2020.) (Shortened by AV, 25-Nov-2020.)
|- V = (Vtx ` G )   &    |- E = (Edg ` G )   =>    |- ( ( G e. USGraph /\ C e. E ) -> E. a e. V E. b e. V ( a =/= b /\ C = { a , b } ) )
Theorem	usgrnloopv 16014	In a simple graph, there is no loop, i.e. no edge connecting a vertex with itself. (Contributed by Alexander van der Vekens, 26-Jan-2018.) (Revised by AV, 17-Oct-2020.) (Proof shortened by AV, 11-Dec-2020.)
|- E = (iEdg ` G )   =>    |- ( ( G e. USGraph /\ M e. W ) -> ( ( E ` X ) = { M , N } -> M =/= N ) )
Theorem	usgrnloop 16015*	In a simple graph, there is no loop, i.e. no edge connecting a vertex with itself. (Contributed by Alexander van der Vekens, 19-Aug-2017.) (Proof shortened by Alexander van der Vekens, 20-Mar-2018.) (Revised by AV, 17-Oct-2020.) (Proof shortened by AV, 11-Dec-2020.)
|- E = (iEdg ` G )   =>    |- ( G e. USGraph -> ( E. x e. dom E ( E ` x ) = { M , N } -> M =/= N ) )
Theorem	usgrnloop0 16016*	A simple graph has no loops. (Contributed by Alexander van der Vekens, 6-Dec-2017.) (Revised by AV, 17-Oct-2020.) (Proof shortened by AV, 11-Dec-2020.)
|- E = (iEdg ` G )   =>    |- ( G e. USGraph -> { x e. dom E | ( E ` x ) = { U } } = (/) )
Theorem	usgredgne 16017	An edge of a simple graph always connects two different vertices. Analogue of usgrnloopv 16014 resp. usgrnloop 16015. (Contributed by Alexander van der Vekens, 2-Sep-2017.) (Revised by AV, 17-Oct-2020.) (Proof shortened by AV, 27-Nov-2020.)
|- E = (Edg ` G )   =>    |- ( ( G e. USGraph /\ { M , N } e. E ) -> M =/= N )
Theorem	usgrf1oedg 16018	The edge function of a simple graph is a 1-1 function onto the set of edges. (Contributed by AV, 18-Oct-2020.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   =>    |- ( G e. USGraph -> I : dom I -1-1-onto-> E )
Theorem	uhgr2edg 16019*	If a vertex is adjacent to two different vertices in a hypergraph, there are more than one edges starting at this vertex. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 11-Feb-2021.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   &    |- V = (Vtx ` G )   =>    |- ( ( ( G e. UHGraph /\ A =/= B ) /\ ( A e. V /\ B e. V /\ N e. V ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> E. x e. dom I E. y e. dom I ( x =/= y /\ N e. ( I ` x ) /\ N e. ( I ` y ) ) )
Theorem	umgr2edg 16020*	If a vertex is adjacent to two different vertices in a multigraph, there are more than one edges starting at this vertex. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 11-Feb-2021.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   =>    |- ( ( ( G e. UMGraph /\ A =/= B ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> E. x e. dom I E. y e. dom I ( x =/= y /\ N e. ( I ` x ) /\ N e. ( I ` y ) ) )
Theorem	usgr2edg 16021*	If a vertex is adjacent to two different vertices in a simple graph, there are more than one edges starting at this vertex. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 17-Oct-2020.) (Proof shortened by AV, 11-Feb-2021.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   =>    |- ( ( ( G e. USGraph /\ A =/= B ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> E. x e. dom I E. y e. dom I ( x =/= y /\ N e. ( I ` x ) /\ N e. ( I ` y ) ) )
Theorem	umgr2edg1 16022*	If a vertex is adjacent to two different vertices in a multigraph, there is not only one edge starting at this vertex. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 8-Jun-2021.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   =>    |- ( ( ( G e. UMGraph /\ A =/= B ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> -. E! x e. dom I N e. ( I ` x ) )
Theorem	usgr2edg1 16023*	If a vertex is adjacent to two different vertices in a simple graph, there is not only one edge starting at this vertex. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 17-Oct-2020.) (Proof shortened by AV, 8-Jun-2021.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   =>    |- ( ( ( G e. USGraph /\ A =/= B ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> -. E! x e. dom I N e. ( I ` x ) )
Theorem	umgrvad2edg 16024*	If a vertex is adjacent to two different vertices in a multigraph, there are more than one edges starting at this vertex, analogous to usgr2edg 16021. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 9-Jan-2020.) (Revised by AV, 8-Jun-2021.)
|- E = (Edg ` G )   =>    |- ( ( ( G e. UMGraph /\ A =/= B ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> E. x e. E E. y e. E ( x =/= y /\ N e. x /\ N e. y ) )
Theorem	umgr2edgneu 16025*	If a vertex is adjacent to two different vertices in a multigraph, there is not only one edge starting at this vertex, analogous to usgr2edg1 16023. Lemma for theorems about friendship graphs. (Contributed by Alexander van der Vekens, 10-Dec-2017.) (Revised by AV, 9-Jan-2020.)
|- E = (Edg ` G )   =>    |- ( ( ( G e. UMGraph /\ A =/= B ) /\ ( { N , A } e. E /\ { B , N } e. E ) ) -> -. E! x e. E N e. x )
Theorem	usgrsizedgen 16026	In a simple graph, the size of the edge function is the number of the edges of the graph. (Contributed by AV, 4-Jan-2020.) (Revised by AV, 7-Jun-2021.)
|- ( G e. USGraph -> (iEdg ` G ) ~~ (Edg ` G ) )
Theorem	usgredg3 16027*	The value of the "edge function" of a simple graph is a set containing two elements (the endvertices of the corresponding edge). (Contributed by Alexander van der Vekens, 18-Dec-2017.) (Revised by AV, 17-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   =>    |- ( ( G e. USGraph /\ X e. dom E ) -> E. x e. V E. y e. V ( x =/= y /\ ( E ` X ) = { x , y } ) )
Theorem	usgredg4 16028*	For a vertex incident to an edge there is another vertex incident to the edge. (Contributed by Alexander van der Vekens, 18-Dec-2017.) (Revised by AV, 17-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   =>    |- ( ( G e. USGraph /\ X e. dom E /\ Y e. ( E ` X ) ) -> E. y e. V ( E ` X ) = { Y , y } )
Theorem	usgredgreu 16029*	For a vertex incident to an edge there is exactly one other vertex incident to the edge. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 18-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   =>    |- ( ( G e. USGraph /\ X e. dom E /\ Y e. ( E ` X ) ) -> E! y e. V ( E ` X ) = { Y , y } )
Theorem	usgredg2vtx 16030*	For a vertex incident to an edge there is another vertex incident to the edge in a simple graph. (Contributed by AV, 18-Oct-2020.) (Proof shortened by AV, 5-Dec-2020.)
|- ( ( G e. USGraph /\ E e. (Edg ` G ) /\ Y e. E ) -> E. y e. (Vtx ` G ) E = { Y , y } )
Theorem	uspgredg2vtxeu 16031*	For a vertex incident to an edge there is exactly one other vertex incident to the edge in a simple pseudograph. (Contributed by AV, 18-Oct-2020.) (Revised by AV, 6-Dec-2020.)
|- ( ( G e. USPGraph /\ E e. (Edg ` G ) /\ Y e. E ) -> E! y e. (Vtx ` G ) E = { Y , y } )
Theorem	usgredg2vtxeu 16032*	For a vertex incident to an edge there is exactly one other vertex incident to the edge in a simple graph. (Contributed by AV, 18-Oct-2020.) (Proof shortened by AV, 6-Dec-2020.)
|- ( ( G e. USGraph /\ E e. (Edg ` G ) /\ Y e. E ) -> E! y e. (Vtx ` G ) E = { Y , y } )
Theorem	uspgredg2vlem 16033*	Lemma for uspgredg2v 16034. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 6-Dec-2020.)
|- V = (Vtx ` G )   &    |- E = (Edg ` G )   &    |- A = { e e. E | N e. e }   =>    |- ( ( G e. USPGraph /\ Y e. A ) -> ( iota_ z e. V Y = { N , z } ) e. V )
Theorem	uspgredg2v 16034*	In a simple pseudograph, the mapping of edges having a fixed endpoint to the "other" vertex of the edge (which may be the fixed vertex itself in the case of a loop) is a one-to-one function into the set of vertices. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 6-Dec-2020.)
|- V = (Vtx ` G )   &    |- E = (Edg ` G )   &    |- A = { e e. E | N e. e }   &    |- F = ( y e. A |-> ( iota_ z e. V y = { N , z } ) )   =>    |- ( ( G e. USPGraph /\ N e. V ) -> F : A -1-1-> V )
Theorem	usgredg2vlem1 16035*	Lemma 1 for usgredg2v 16037. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 18-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   &    |- A = { x e. dom E | N e. ( E ` x ) }   =>    |- ( ( G e. USGraph /\ Y e. A ) -> ( iota_ z e. V ( E ` Y ) = { z , N } ) e. V )
Theorem	usgredg2vlem2 16036*	Lemma 2 for usgredg2v 16037. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 18-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   &    |- A = { x e. dom E | N e. ( E ` x ) }   =>    |- ( ( G e. USGraph /\ Y e. A ) -> ( I = ( iota_ z e. V ( E ` Y ) = { z , N } ) -> ( E ` Y ) = { I , N } ) )
Theorem	usgredg2v 16037*	In a simple graph, the mapping of edges having a fixed endpoint to the other vertex of the edge is a one-to-one function into the set of vertices. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 18-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   &    |- A = { x e. dom E | N e. ( E ` x ) }   &    |- F = ( y e. A |-> ( iota_ z e. V ( E ` y ) = { z , N } ) )   =>    |- ( ( G e. USGraph /\ N e. V ) -> F : A -1-1-> V )
Theorem	usgriedgdomord 16038*	Alternate version of usgredgdomord 16043, not using the notation (Edg ` G ). In a simple graph the number of edges which contain a given vertex is not greater than the number of vertices. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 18-Oct-2020.)
|- V = (Vtx ` G )   &    |- E = (iEdg ` G )   =>    |- ( ( G e. USGraph /\ N e. V ) -> { x e. dom E | N e. ( E ` x ) } ~<_ V )
Theorem	ushgredgedg 16039*	In a simple hypergraph there is a 1-1 onto mapping between the indexed edges containing a fixed vertex and the set of edges containing this vertex. (Contributed by AV, 11-Dec-2020.)
|- E = (Edg ` G )   &    |- I = (iEdg ` G )   &    |- V = (Vtx ` G )   &    |- A = { i e. dom I | N e. ( I ` i ) }   &    |- B = { e e. E | N e. e }   &    |- F = ( x e. A |-> ( I ` x ) )   =>    |- ( ( G e. USHGraph /\ N e. V ) -> F : A -1-1-onto-> B )
Theorem	usgredgedg 16040*	In a simple graph there is a 1-1 onto mapping between the indexed edges containing a fixed vertex and the set of edges containing this vertex. (Contributed by AV, 18-Oct-2020.) (Proof shortened by AV, 11-Dec-2020.)
|- E = (Edg ` G )   &    |- I = (iEdg ` G )   &    |- V = (Vtx ` G )   &    |- A = { i e. dom I | N e. ( I ` i ) }   &    |- B = { e e. E | N e. e }   &    |- F = ( x e. A |-> ( I ` x ) )   =>    |- ( ( G e. USGraph /\ N e. V ) -> F : A -1-1-onto-> B )
Theorem	ushgredgedgloop 16041*	In a simple hypergraph there is a 1-1 onto mapping between the indexed edges being loops at a fixed vertex N and the set of loops at this vertex N. (Contributed by AV, 11-Dec-2020.) (Revised by AV, 6-Jul-2022.)
|- E = (Edg ` G )   &    |- I = (iEdg ` G )   &    |- A = { i e. dom I | ( I ` i ) = { N } }   &    |- B = { e e. E | e = { N } }   &    |- F = ( x e. A |-> ( I ` x ) )   =>    |- ( ( G e. USHGraph /\ N e. V ) -> F : A -1-1-onto-> B )
Theorem	uspgredgdomord 16042*	In a simple pseudograph the number of edges which contain a given vertex is not greater than the number of vertices. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 6-Dec-2020.)
|- V = (Vtx ` G )   &    |- E = (Edg ` G )   =>    |- ( ( G e. USPGraph /\ N e. V ) -> { e e. E | N e. e } ~<_ V )
Theorem	usgredgdomord 16043*	In a simple graph the number of edges which contain a given vertex is not greater than the number of vertices. (Contributed by Alexander van der Vekens, 4-Jan-2018.) (Revised by AV, 18-Oct-2020.) (Proof shortened by AV, 6-Dec-2020.)
|- V = (Vtx ` G )   &    |- E = (Edg ` G )   =>    |- ( ( G e. USGraph /\ N e. V ) -> { e e. E | N e. e } ~<_ V )
Theorem	usgrstrrepeen 16044*	Replacing (or adding) the edges (between elements of the base set) of an extensible structure results in a simple graph. Instead of requiring ( ph -> G Struct X ), it would be sufficient to require ( ph -> Fun ( G \ { (/) } ) ) and ( ph -> G e. _V ). (Contributed by AV, 13-Nov-2021.) (Proof shortened by AV, 16-Nov-2021.)
|- V = ( Base ` G )   &    |- I = (.ef ` ndx )   &    |- ( ph -> G Struct X )   &    |- ( ph -> ( Base ` ndx ) e. dom G )   &    |- ( ph -> E e. W )   &    |- ( ph -> E : dom E -1-1-> { x e. ~P V | x ~~ 2o } )   =>    |- ( ph -> ( G sSet <. I , E >. ) e. USGraph )
12.2.6  Vertex degree
Syntax	cvtxdg 16045	Extend class notation with the vertex degree function.
class VtxDeg
Definition	df-vtxdg 16046*	Define the vertex degree function for a graph. To be appropriate for arbitrary hypergraphs, we have to double-count those edges that contain u "twice" (i.e. self-loops), this being represented as a singleton as the edge's value. Since the degree of a vertex can be (positive) infinity (if the graph containing the vertex is infinite), the extended addition +e is used for the summation of the number of "ordinary" edges" and the number of "loops". Because we cannot in general show that an arbitrary set is either finite or infinite (see inffiexmid 7079), this definition is not as general as it may appear. But we keep it for consistency with the Metamath Proof Explorer. (Contributed by Mario Carneiro, 12-Mar-2015.) (Revised by Alexander van der Vekens, 20-Dec-2017.) (Revised by AV, 9-Dec-2020.)
|- VtxDeg = ( g e. _V |-> [_ (Vtx ` g ) / v ]_ [_ (iEdg ` g ) / e ]_ ( u e. v |-> ( (♯ ` { x e. dom e | u e. ( e ` x ) } ) +e (♯ ` { x e. dom e | ( e ` x ) = { u } } ) ) ) )
Theorem	vtxdgfval 16047*	The value of the vertex degree function. (Contributed by Mario Carneiro, 12-Mar-2015.) (Revised by Alexander van der Vekens, 20-Dec-2017.) (Revised by AV, 9-Dec-2020.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- A = dom I   =>    |- ( G e. W -> (VtxDeg ` G ) = ( u e. V |-> ( (♯ ` { x e. A | u e. ( I ` x ) } ) +e (♯ ` { x e. A | ( I ` x ) = { u } } ) ) ) )
Theorem	vtxedgfi 16048*	In a finite graph, the number of edges from a given vertex is finite. (Contributed by Jim Kingdon, 16-Feb-2026.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- A = dom I   &    |- ( ph -> A e. Fin )   &    |- ( ph -> V e. Fin )   &    |- ( ph -> U e. V )   &    |- ( ph -> G e. UPGraph )   =>    |- ( ph -> { x e. A | U e. ( I ` x ) } e. Fin )
Theorem	vtxlpfi 16049*	In a finite graph, the number of loops from a given vertex is finite. (Contributed by Jim Kingdon, 16-Feb-2026.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- A = dom I   &    |- ( ph -> A e. Fin )   &    |- ( ph -> V e. Fin )   &    |- ( ph -> U e. V )   &    |- ( ph -> G e. UPGraph )   =>    |- ( ph -> { x e. A | ( I ` x ) = { U } } e. Fin )
Theorem	vtxdgfifival 16050*	The degree of a vertex for graphs with finite vertex and edge sets. (Contributed by Jim Kingdon, 10-Feb-2026.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- A = dom I   &    |- ( ph -> A e. Fin )   &    |- ( ph -> V e. Fin )   &    |- ( ph -> U e. V )   &    |- ( ph -> G e. UPGraph )   =>    |- ( ph -> ( (VtxDeg ` G ) ` U ) = ( (♯ ` { x e. A | U e. ( I ` x ) } ) + (♯ ` { x e. A | ( I ` x ) = { U } } ) ) )
Theorem	vtxdgop 16051	The vertex degree expressed as operation. (Contributed by AV, 12-Dec-2021.)
|- ( G e. W -> (VtxDeg ` G ) = ( (Vtx ` G )VtxDeg (iEdg ` G ) ) )
Theorem	vtxdgfif 16052	In a finite graph, the vertex degree function is a function from vertices to nonnegative integers. (Contributed by Jim Kingdon, 17-Feb-2026.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- A = dom I   &    |- ( ph -> A e. Fin )   &    |- ( ph -> V e. Fin )   &    |- ( ph -> G e. UPGraph )   =>    |- ( ph -> (VtxDeg ` G ) : V --> NN0 )
Theorem	vtxdg0v 16053	The degree of a vertex in the null graph is zero (or anything else), because there are no vertices. (Contributed by AV, 11-Dec-2020.)
|- V = (Vtx ` G )   =>    |- ( ( G = (/) /\ U e. V ) -> ( (VtxDeg ` G ) ` U ) = 0 )
Theorem	vtxdgfi0e 16054	The degree of a vertex in an empty graph is zero, because there are no edges. This is the base case for the induction for calculating the degree of a vertex, for example in a Königsberg graph. (Contributed by Mario Carneiro, 12-Mar-2015.) (Revised by Alexander van der Vekens, 20-Dec-2017.) (Revised by AV, 11-Dec-2020.) (Revised by AV, 22-Mar-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- ( ph -> U e. V )   &    |- ( ph -> I = (/) )   &    |- ( ph -> V e. Fin )   &    |- ( ph -> G e. UPGraph )   =>    |- ( ph -> ( (VtxDeg ` G ) ` U ) = 0 )
Theorem	vtxdeqd 16055	Equality theorem for the vertex degree: If two graphs are structurally equal, their vertex degree functions are equal. (Contributed by AV, 26-Feb-2021.)
|- ( ph -> G e. X )   &    |- ( ph -> H e. Y )   &    |- ( ph -> (Vtx ` H ) = (Vtx ` G ) )   &    |- ( ph -> (iEdg ` H ) = (iEdg ` G ) )   =>    |- ( ph -> (VtxDeg ` H ) = (VtxDeg ` G ) )
Theorem	vtxdfifiun 16056	The degree of a vertex in the union of two pseudographs of finite size on the same finite vertex set is the sum of the degrees of the vertex in each pseudograph. (Contributed by Mario Carneiro, 12-Mar-2015.) (Revised by Alexander van der Vekens, 21-Jan-2018.) (Revised by AV, 19-Feb-2021.)
|- I = (iEdg ` G )   &    |- J = (iEdg ` H )   &    |- V = (Vtx ` G )   &    |- ( ph -> (Vtx ` H ) = V )   &    |- ( ph -> (Vtx ` U ) = V )   &    |- ( ph -> V e. Fin )   &    |- ( ph -> G e. UPGraph )   &    |- ( ph -> H e. UPGraph )   &    |- ( ph -> ( dom I i^i dom J ) = (/) )   &    |- ( ph -> Fun I )   &    |- ( ph -> Fun J )   &    |- ( ph -> N e. V )   &    |- ( ph -> (iEdg ` U ) = ( I u. J ) )   &    |- ( ph -> dom I e. Fin )   &    |- ( ph -> dom J e. Fin )   =>    |- ( ph -> ( (VtxDeg ` U ) ` N ) = ( ( (VtxDeg ` G ) ` N ) + ( (VtxDeg ` H ) ` N ) ) )
Theorem	vtxdumgrfival 16057*	The value of the vertex degree function for a finite multigraph. (Contributed by Alexander van der Vekens, 20-Dec-2017.) (Revised by AV, 23-Feb-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- A = dom I   &    |- D = (VtxDeg ` G )   &    |- ( ph -> G e. UMGraph )   &    |- ( ph -> U e. V )   &    |- ( ph -> A e. Fin )   &    |- ( ph -> V e. Fin )   =>    |- ( ph -> ( D ` U ) = (♯ ` { x e. A | U e. ( I ` x ) } ) )
12.3  Walks, paths and cycles
12.3.1  Walks
Syntax	cwlks 16058	Extend class notation with walks (i.e. 1-walks) (of a hypergraph).
class Walks
Definition	df-wlks 16059*	Define the set of all walks (in a hypergraph). Such walks correspond to the s-walks "on the vertex level" (with s = 1), and also to 1-walks "on the edge level" (see wlk1walkdom 16100) discussed in Aksoy et al. The predicate F (Walks ` G ) P can be read as "The pair <. F , P >. represents a walk in a graph G", see also iswlk 16064. The condition { ( p ` k ) , ( p ` ( k + 1 ) ) } C_ ( (iEdg ` g ) ` ( f ` k ) ) (hereinafter referred to as C) would not be sufficient, because the repetition of a vertex in a walk (i.e. ( p ` k ) = ( p ` ( k + 1 ) ) should be allowed only if there is a loop at ( p ` k ). Otherwise, C would be fulfilled by each edge containing ( p ` k ). According to the definition of [Bollobas] p. 4.: "A walk W in a graph is an alternating sequence of vertices and edges x0 , e1 , x1 , e2 , ... , e(l) , x(l) ...", a walk can be represented by two mappings f from { 1 , ... , n } and p from { 0 , ... , n }, where f enumerates the (indices of the) edges, and p enumerates the vertices. So the walk is represented by the following sequence: p(0) e(f(1)) p(1) e(f(2)) ... p(n-1) e(f(n)) p(n). (Contributed by AV, 30-Dec-2020.)
|- Walks = ( g e. _V |-> { <. f , p >. | ( f e. Word dom (iEdg ` g ) /\ p : ( 0 ... (♯ ` f ) ) --> (Vtx ` g ) /\ A. k e. ( 0..^ (♯ ` f ) )if- ( ( p ` k ) = ( p ` ( k + 1 ) ) , ( (iEdg ` g ) ` ( f ` k ) ) = { ( p ` k ) } , { ( p ` k ) , ( p ` ( k + 1 ) ) } C_ ( (iEdg ` g ) ` ( f ` k ) ) ) ) } )
Theorem	wlkmex 16060	If there are walks on a graph, the graph is a set. (Contributed by Jim Kingdon, 1-Feb-2026.)
|- ( W e. (Walks ` G ) -> G e. _V )
Theorem	wkslem1 16061	Lemma 1 for walks to substitute the index of the condition for vertices and edges in a walk. (Contributed by AV, 23-Apr-2021.)
|- ( A = B -> (if- ( ( P ` A ) = ( P ` ( A + 1 ) ) , ( I ` ( F ` A ) ) = { ( P ` A ) } , { ( P ` A ) , ( P ` ( A + 1 ) ) } C_ ( I ` ( F ` A ) ) ) <-> if- ( ( P ` B ) = ( P ` ( B + 1 ) ) , ( I ` ( F ` B ) ) = { ( P ` B ) } , { ( P ` B ) , ( P ` ( B + 1 ) ) } C_ ( I ` ( F ` B ) ) ) ) )
Theorem	wkslem2 16062	Lemma 2 for walks to substitute the index of the condition for vertices and edges in a walk. (Contributed by AV, 23-Apr-2021.)
|- ( ( A = B /\ ( A + 1 ) = C ) -> (if- ( ( P ` A ) = ( P ` ( A + 1 ) ) , ( I ` ( F ` A ) ) = { ( P ` A ) } , { ( P ` A ) , ( P ` ( A + 1 ) ) } C_ ( I ` ( F ` A ) ) ) <-> if- ( ( P ` B ) = ( P ` C ) , ( I ` ( F ` B ) ) = { ( P ` B ) } , { ( P ` B ) , ( P ` C ) } C_ ( I ` ( F ` B ) ) ) ) )
Theorem	wksfval 16063*	The set of walks (in an undirected graph). (Contributed by AV, 30-Dec-2020.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   =>    |- ( G e. W -> (Walks ` G ) = { <. f , p >. | ( f e. Word dom I /\ p : ( 0 ... (♯ ` f ) ) --> V /\ A. k e. ( 0..^ (♯ ` f ) )if- ( ( p ` k ) = ( p ` ( k + 1 ) ) , ( I ` ( f ` k ) ) = { ( p ` k ) } , { ( p ` k ) , ( p ` ( k + 1 ) ) } C_ ( I ` ( f ` k ) ) ) ) } )
Theorem	iswlk 16064*	Properties of a pair of functions to be/represent a walk. (Contributed by AV, 30-Dec-2020.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   =>    |- ( ( G e. W /\ F e. U /\ P e. Z ) -> ( F (Walks ` G ) P <-> ( F e. Word dom I /\ P : ( 0 ... (♯ ` F ) ) --> V /\ A. k e. ( 0..^ (♯ ` F ) )if- ( ( P ` k ) = ( P ` ( k + 1 ) ) , ( I ` ( F ` k ) ) = { ( P ` k ) } , { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ ( I ` ( F ` k ) ) ) ) ) )
Theorem	wlkpropg 16065*	Properties of a walk. (Contributed by AV, 5-Nov-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   =>    |- ( ( G e. W /\ F (Walks ` G ) P ) -> ( F e. Word dom I /\ P : ( 0 ... (♯ ` F ) ) --> V /\ A. k e. ( 0..^ (♯ ` F ) )if- ( ( P ` k ) = ( P ` ( k + 1 ) ) , ( I ` ( F ` k ) ) = { ( P ` k ) } , { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ ( I ` ( F ` k ) ) ) ) )
Theorem	wlkex 16066	The class of walks on a graph is a set. (Contributed by Jim Kingdon, 7-Feb-2026.)
|- ( G e. V -> (Walks ` G ) e. _V )
Theorem	wlkv 16067	The classes involved in a walk are sets. (Contributed by Alexander van der Vekens, 31-Oct-2017.) (Revised by AV, 3-Feb-2021.)
|- ( F (Walks ` G ) P -> ( G e. _V /\ F e. _V /\ P e. _V ) )
Theorem	wlkprop 16068*	Properties of a walk. (Contributed by AV, 5-Nov-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   =>    |- ( F (Walks ` G ) P -> ( F e. Word dom I /\ P : ( 0 ... (♯ ` F ) ) --> V /\ A. k e. ( 0..^ (♯ ` F ) )if- ( ( P ` k ) = ( P ` ( k + 1 ) ) , ( I ` ( F ` k ) ) = { ( P ` k ) } , { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ ( I ` ( F ` k ) ) ) ) )
Theorem	wlkvg 16069	The classes involved in a walk are sets. Now that we have wlkv 16067 there is no reason to use this theorem in new proofs and using wlkv 16067 is encouraged for consistency with the Metamath Proof Explorer. (Contributed by Alexander van der Vekens, 31-Oct-2017.) (Revised by AV, 3-Feb-2021.) (New usage is discouraged.)
|- ( ( G e. W /\ F (Walks ` G ) P ) -> ( F e. _V /\ P e. _V ) )
Theorem	iswlkg 16070*	Generalization of iswlk 16064: Conditions for two classes to represent a walk. (Contributed by Alexander van der Vekens, 23-Jun-2018.) (Revised by AV, 1-Jan-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   =>    |- ( G e. W -> ( F (Walks ` G ) P <-> ( F e. Word dom I /\ P : ( 0 ... (♯ ` F ) ) --> V /\ A. k e. ( 0..^ (♯ ` F ) )if- ( ( P ` k ) = ( P ` ( k + 1 ) ) , ( I ` ( F ` k ) ) = { ( P ` k ) } , { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ ( I ` ( F ` k ) ) ) ) ) )
Theorem	wlkf 16071	The mapping enumerating the (indices of the) edges of a walk is a word over the indices of the edges of the graph. (Contributed by AV, 5-Apr-2021.)
|- I = (iEdg ` G )   =>    |- ( F (Walks ` G ) P -> F e. Word dom I )
Theorem	wlkfg 16072	The mapping enumerating the (indices of the) edges of a walk is a word over the indices of the edges of the graph. (Contributed by AV, 5-Apr-2021.)
|- I = (iEdg ` G )   =>    |- ( ( G e. W /\ F (Walks ` G ) P ) -> F e. Word dom I )
Theorem	wlkcl 16073	A walk has length ♯ ( F ), which is an integer. (Contributed by Mario Carneiro, 12-Mar-2015.) (Revised by AV, 18-Feb-2021.)
|- ( F (Walks ` G ) P -> (♯ ` F ) e. NN0 )
Theorem	wlkclg 16074	A walk has length ♯ ( F ), which is an integer. (Contributed by Mario Carneiro, 12-Mar-2015.) (Revised by AV, 18-Feb-2021.)
|- ( ( G e. W /\ F (Walks ` G ) P ) -> (♯ ` F ) e. NN0 )
Theorem	wlkp 16075	The mapping enumerating the vertices of a walk is a function. (Contributed by AV, 5-Apr-2021.)
|- V = (Vtx ` G )   =>    |- ( F (Walks ` G ) P -> P : ( 0 ... (♯ ` F ) ) --> V )
Theorem	wlkpg 16076	The mapping enumerating the vertices of a walk is a function. (Contributed by AV, 5-Apr-2021.)
|- V = (Vtx ` G )   =>    |- ( ( G e. W /\ F (Walks ` G ) P ) -> P : ( 0 ... (♯ ` F ) ) --> V )
Theorem	wlkpwrdg 16077	The sequence of vertices of a walk is a word over the set of vertices. (Contributed by AV, 27-Jan-2021.)
|- V = (Vtx ` G )   =>    |- ( ( G e. W /\ F (Walks ` G ) P ) -> P e. Word V )
Theorem	wlklenvp1 16078	The number of vertices of a walk (in an undirected graph) is the number of its edges plus 1. (Contributed by Alexander van der Vekens, 29-Jun-2018.) (Revised by AV, 1-May-2021.)
|- ( F (Walks ` G ) P -> (♯ ` P ) = ( (♯ ` F ) + 1 ) )
Theorem	wlklenvp1g 16079	The number of vertices of a walk (in an undirected graph) is the number of its edges plus 1. (Contributed by Alexander van der Vekens, 29-Jun-2018.) (Revised by AV, 1-May-2021.)
|- ( ( G e. W /\ F (Walks ` G ) P ) -> (♯ ` P ) = ( (♯ ` F ) + 1 ) )
Theorem	wlkm 16080*	The sequence of vertices of a walk cannot be empty, i.e. a walk always consists of at least one vertex. (Contributed by Alexander van der Vekens, 19-Jul-2018.) (Revised by AV, 2-Jan-2021.)
|- ( F (Walks ` G ) P -> E. x x e. P )
Theorem	wlkvtxm 16081*	A graph with a walk has at least one vertex. (Contributed by Jim Kingdon, 8-Feb-2026.)
|- V = (Vtx ` G )   =>    |- ( F (Walks ` G ) P -> E. x x e. V )
Theorem	wlklenvm1 16082	The number of edges of a walk is the number of its vertices minus 1. (Contributed by Alexander van der Vekens, 1-Jul-2018.) (Revised by AV, 2-Jan-2021.)
|- ( F (Walks ` G ) P -> (♯ ` F ) = ( (♯ ` P ) - 1 ) )
Theorem	wlklenvm1g 16083	The number of edges of a walk is the number of its vertices minus 1. (Contributed by Alexander van der Vekens, 1-Jul-2018.) (Revised by AV, 2-Jan-2021.)
|- ( ( G e. W /\ F (Walks ` G ) P ) -> (♯ ` F ) = ( (♯ ` P ) - 1 ) )
Theorem	ifpsnprss 16084	Lemma for wlkvtxeledgg 16085: Two adjacent (not necessarily different) vertices A and B in a walk are incident with an edge E. (Contributed by AV, 4-Apr-2021.) (Revised by AV, 5-Nov-2021.)
|- (if- ( A = B , E = { A } , { A , B } C_ E ) -> { A , B } C_ E )
Theorem	wlkvtxeledgg 16085*	Each pair of adjacent vertices in a walk is a subset of an edge. (Contributed by AV, 28-Jan-2021.) (Proof shortened by AV, 4-Apr-2021.)
|- I = (iEdg ` G )   =>    |- ( ( G e. W /\ F (Walks ` G ) P ) -> A. k e. ( 0..^ (♯ ` F ) ) { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ ( I ` ( F ` k ) ) )
Theorem	wlkvtxiedg 16086*	The vertices of a walk are connected by indexed edges. (Contributed by Alexander van der Vekens, 22-Jul-2018.) (Revised by AV, 2-Jan-2021.) (Proof shortened by AV, 4-Apr-2021.)
|- I = (iEdg ` G )   =>    |- ( F (Walks ` G ) P -> A. k e. ( 0..^ (♯ ` F ) ) E. e e. ran I { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ e )
Theorem	wlkvtxiedgg 16087*	The vertices of a walk are connected by indexed edges. (Contributed by Alexander van der Vekens, 22-Jul-2018.) (Revised by AV, 2-Jan-2021.) (Proof shortened by AV, 4-Apr-2021.)
|- I = (iEdg ` G )   =>    |- ( ( G e. W /\ F (Walks ` G ) P ) -> A. k e. ( 0..^ (♯ ` F ) ) E. e e. ran I { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ e )
Theorem	relwlk 16088	The set (Walks ` G ) of all walks on G is a set of pairs by our definition of a walk, and so is a relation. (Contributed by Alexander van der Vekens, 30-Jun-2018.) (Revised by AV, 19-Feb-2021.)
|- Rel (Walks ` G )
Theorem	wlkop 16089	A walk is an ordered pair. (Contributed by Alexander van der Vekens, 30-Jun-2018.) (Revised by AV, 1-Jan-2021.)
|- ( W e. (Walks ` G ) -> W = <. ( 1st ` W ) , ( 2nd ` W ) >. )
Theorem	wlkelvv 16090	A walk is an ordered pair. (Contributed by Jim Kingdon, 2-Feb-2026.)
|- ( W e. (Walks ` G ) -> W e. ( _V X. _V ) )
Theorem	wlkcprim 16091	A walk as class with two components. (Contributed by Alexander van der Vekens, 22-Jul-2018.) (Revised by AV, 2-Jan-2021.) (Revised by Jim Kingdon, 1-Feb-2026.)
|- ( W e. (Walks ` G ) -> ( 1st ` W ) (Walks ` G ) ( 2nd ` W ) )
Theorem	wlk2f 16092*	If there is a walk W there is a pair of functions representing this walk. (Contributed by Alexander van der Vekens, 22-Jul-2018.)
|- ( W e. (Walks ` G ) -> E. f E. p f (Walks ` G ) p )
Theorem	wlkcompim 16093*	Implications for the properties of the components of a walk. (Contributed by Alexander van der Vekens, 23-Jun-2018.) (Revised by AV, 2-Jan-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- F = ( 1st ` W )   &    |- P = ( 2nd ` W )   =>    |- ( W e. (Walks ` G ) -> ( F e. Word dom I /\ P : ( 0 ... (♯ ` F ) ) --> V /\ A. k e. ( 0..^ (♯ ` F ) )if- ( ( P ` k ) = ( P ` ( k + 1 ) ) , ( I ` ( F ` k ) ) = { ( P ` k ) } , { ( P ` k ) , ( P ` ( k + 1 ) ) } C_ ( I ` ( F ` k ) ) ) ) )
Theorem	wlkelwrd 16094	The components of a walk are words/functions over a zero based range of integers. (Contributed by Alexander van der Vekens, 23-Jun-2018.) (Revised by AV, 2-Jan-2021.)
|- V = (Vtx ` G )   &    |- I = (iEdg ` G )   &    |- F = ( 1st ` W )   &    |- P = ( 2nd ` W )   =>    |- ( W e. (Walks ` G ) -> ( F e. Word dom I /\ P : ( 0 ... (♯ ` F ) ) --> V ) )
Theorem	wlkeq 16095*	Conditions for two walks (within the same graph) being the same. (Contributed by AV, 1-Jul-2018.) (Revised by AV, 16-May-2019.) (Revised by AV, 14-Apr-2021.)
|- ( ( A e. (Walks ` G ) /\ B e. (Walks ` G ) /\ N = (♯ ` ( 1st ` A ) ) ) -> ( A = B <-> ( N = (♯ ` ( 1st ` B ) ) /\ A. x e. ( 0..^ N ) ( ( 1st ` A ) ` x ) = ( ( 1st ` B ) ` x ) /\ A. x e. ( 0 ... N ) ( ( 2nd ` A ) ` x ) = ( ( 2nd ` B ) ` x ) ) ) )
Theorem	edginwlkd 16096	The value of the edge function for an index of an edge within a walk is an edge. (Contributed by AV, 2-Jan-2021.) (Revised by AV, 9-Dec-2021.) (Revised by Jim Kingdon, 2-Feb-2026.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   &    |- ( ph -> Fun I )   &    |- ( ph -> F e. Word dom I )   &    |- ( ph -> K e. ( 0..^ (♯ ` F ) ) )   &    |- ( ph -> G e. V )   =>    |- ( ph -> ( I ` ( F ` K ) ) e. E )
Theorem	upgredginwlk 16097	The value of the edge function for an index of an edge within a walk is an edge. (Contributed by AV, 2-Jan-2021.)
|- I = (iEdg ` G )   &    |- E = (Edg ` G )   =>    |- ( ( G e. UPGraph /\ F e. Word dom I ) -> ( K e. ( 0..^ (♯ ` F ) ) -> ( I ` ( F ` K ) ) e. E ) )
Theorem	iedginwlk 16098	The value of the edge function for an index of an edge within a walk is an edge. (Contributed by AV, 23-Apr-2021.)
|- I = (iEdg ` G )   =>    |- ( ( Fun I /\ F (Walks ` G ) P /\ X e. ( 0..^ (♯ ` F ) ) ) -> ( I ` ( F ` X ) ) e. ran I )
Theorem	wlkl1loop 16099	A walk of length 1 from a vertex to itself is a loop. (Contributed by AV, 23-Apr-2021.)
|- ( ( ( Fun (iEdg ` G ) /\ F (Walks ` G ) P ) /\ ( (♯ ` F ) = 1 /\ ( P ` 0 ) = ( P ` 1 ) ) ) -> { ( P ` 0 ) } e. (Edg ` G ) )
Theorem	wlk1walkdom 16100*	A walk is a 1-walk "on the edge level" according to Aksoy et al. (Contributed by AV, 30-Dec-2020.)
|- I = (iEdg ` G )   =>    |- ( F (Walks ` G ) P -> A. k e. ( 1..^ (♯ ` F ) ) 1o ~<_ ( ( I ` ( F ` ( k - 1 ) ) ) i^i ( I ` ( F ` k ) ) ) )