Total Dominating Color Transversal Number of Graphs And Graph Operationsinventionjournals
Total Dominating Color Transversal Set of a graph is a Total Dominating Set of the graph which is also Transversal of Some 휒 - Partition of the graph. Here 휒 is the Chromatic number of the graph. Total Dominating Color Transversal number of a graph is the cardinality of a Total Dominating Color Transversal Set which has minimum cardinality among all such sets that the graph admits. In this paper, we consider the well known graph operations Join, Corona, Strong product and Lexicographic product of graphs and determine Total Dominating Color Transversal number of the resultant graphs.
The document discusses characteristics of (γ, 3)-critical graphs. It begins by providing examples of (γ, 3)-critical graphs, such as the circulant graph C12 1, 4 and the Cartesian product Kt Kt . It then shows that a (γ, k)-critical graph is not necessarily (γ, k′)-critical for k ≠ k′ between 1 and 3. The document also verifies properties of (γ, 3)-critical graphs, such as not having vertices of degree 3. It concludes by proving characteristics about (γ, 3)-critical graphs that are paths, including that they have no vertices in V+ and satisfy other properties.
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFransiskeran
In [1] Abdel-Aal has introduced the notions of m-shadow graphs and n-splitting graphs, for all m, n ≥ 1.
In this paper, we prove that, the m-shadow graphs for paths and complete bipartite graphs are odd
harmonious graphs for all m ≥ 1. Also, we prove the n-splitting graphs for paths, stars and symmetric
product between paths and null graphs are odd harmonious graphs for all n≥ 1. In addition, we present
some examples to illustrate the proposed theories. Moreover, we show that some families of graphs admit
odd harmonious libeling.
The document is a research paper that presents new results on odd harmonious graphs. It introduces the concepts of m-shadow graphs and m-splitting graphs. The paper proves that m-shadow graphs of paths and complete bipartite graphs are odd harmonious for all m ≥ 1. It also proves that n-splitting graphs of paths, stars and symmetric products of paths and null graphs are odd harmonious for all n ≥ 1. Additional families of graphs, including m-shadow graphs of stars and various graph constructions using paths, stars and their splitting graphs, are shown to admit odd harmonious labeling.
On the equality of the grundy numbers of a graphijngnjournal
Our work becomes integrated into the general problem of the stability of the network ad hoc. Some, works attacked(affected) this problem. Among these works, we find the modelling of the network ad hoc in the form of a graph. Thus the problem of stability of the network ad hoc which corresponds to a problem of allocation of frequency amounts to a problem of allocation of colors in the vertex of graph. we present use a parameter of coloring " the number of Grundy”. The Grundy number of a graph G, denoted by Γ(G), is the largest k such that G has a greedy k-coloring, that is a coloring with colours obtained by applying the greedy algorithm according to some ordering of the vertices of G. In this paper, we study the Grundy number of the lexicographic, Cartesian and direct products of two graphs in terms of the Grundy numbers of these graphs.
On the Equality of the Grundy Numbers of a Graphjosephjonse
Our work becomes integrated into the general problem of the stability of the network ad hoc. Some, works attacked(affected) this problem. Among these works, we find the modelling of the network ad hoc in the form of a graph. Thus the problem of stability of the network ad hoc which corresponds to a problem of allocation of frequency amounts to a problem of allocation of colors in the vertex of graph. we present use a parameter of coloring " the number of Grundy”. The Grundy number of a graph G, denoted by Γ(G), is the largest k such that G has a greedy k-coloring, that is a coloring with colours obtained by applying the greedy algorithm according to some ordering of the vertices of G. In this paper, we study the Grundy number of the lexicographic, Cartesian and direct products of two graphs in terms of the Grundy numbers of these graphs.
In this paper, we show that the number of edges for any odd harmonious Eulerian graph is congruent to 0 or 2 (mod 4), and we found a counter example for the inverse of this statement is not true. We also proved that, the graphs which are constructed by two copies of even cycle Cn sharing a common edge are odd harmonious. In addition, we obtained an odd harmonious labeling for the graphs which are constructed by two copies of cycle Cn sharing a common vertex when n is congruent to 0 (mod 4). Moreover, we show that, the Cartesian product of cycle graph Cm and path Pn for each n ≥ 2, m ≡ 0 (mod 4) are odd harmonious graphs. Finally many new families of odd harmonious graphs are introduced.
I am Irene M. I am a Stochastic Processes Assignment Expert at statisticsassignmenthelp.com. I hold a Master's in Statistics, from California, USA. I have been helping students with their homework for the past 6 years. I solve assignments related to Stochastic Processes.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Stochastic Processes Assignments.
This document provides an introduction to graph theory through a presentation on the topic. It defines what a graph is by explaining that a graph G consists of a set of vertices V and edges E. It then gives examples and defines basic terminology like adjacency and incidence. The document also covers topics like degrees of vertices, regular and bipartite graphs, and representations of graphs through adjacency and incidence matrices.
This document provides an introduction to graph theory concepts. It defines what a graph is consisting of vertices and edges. It discusses different types of graphs like simple graphs, multigraphs, digraphs and their properties. It introduces concepts like degrees of vertices, handshaking lemma, planar graphs, Euler's formula, bipartite graphs and graph coloring. It provides examples of special graphs like complete graphs, cycles, wheels and hypercubes. It discusses applications of graphs in areas like job assignments and local area networks. The document also summarizes theorems regarding planar graphs like Kuratowski's theorem stating conditions for a graph to be non-planar.
This document summarizes research on extremal graphs without three-cycles or four-cycles. The authors derive theoretical upper and lower bounds on the maximum number of edges f(v) in graphs of order v that contain no three-cycles or four-cycles. They provide the exact values of f(v) for all v up to 24 and constructive lower bounds for f(v) up to 200. The document also defines restricted tree structures that are useful in analyzing extremal graphs and establishes properties of these graphs.
The document provides definitions and examples related to graphs. It defines graphs, directed graphs, and terminology like vertices, edges, degrees, adjacency, and isomorphism. It discusses representations of graphs using adjacency lists and matrices. It also covers special types of graphs like trees, cycles, and bipartite graphs. Key concepts are illustrated with examples.
Applications and Properties of Unique Coloring of GraphsIJERA Editor
This paper studies the concepts of origin of uniquely colorable graphs, general results about unique vertex colorings, assorted results about uniquely colorable graphs, complexity results for unique coloring Mathematics Subject Classification 2000: 05CXX, 05C15, 05C20, 37E25.
New Classes of Odd Graceful Graphs - M. E. Abdel-AalGiselleginaGloria
In this paper, we introduce the notions of m-shadow graphs and n-splitting graphs,m ≥ 2, n ≥ 1. We
prove that, the m-shadow graphs for paths, complete bipartite graphs and symmetric product between
paths and null graphs are odd graceful. In addition, we show that, the m-splitting graphs for paths, stars
and symmetric product between paths and null graphs are odd graceful. Finally, we present some examples
to illustrate the proposed theories.
1. Graph and Graph Terminologiesimp.pptxswapnilbs2728
There are five main categories of graphs: simple graphs, multigraphs, pseudographs, directed graphs, and directed multigraphs. An undirected graph G consists of a set of vertices V and a set of edges E that connect the vertices. A directed graph consists of vertices V and directed edges E that have an initial and terminal vertex. There are several special types of simple graphs including complete graphs, cycles, wheels, and bipartite graphs.
This document contains definitions and explanations of various graph theory terms in the form of 26 multiple choice questions. Some key terms defined and explained include: graph, simple graph, connected graph, components, tree, rooted tree, binary tree, walk, path, circuit, degree, adjacency, incidence, isomorphism, subgraph, Euler graph, and Hamiltonian path. Examples are provided to illustrate many of the graph theory concepts discussed.
This document contains 26 multiple choice questions and their answers related to graph theory. It begins by defining key graph theory terms like graphs, vertices, edges, simple graphs, and applications of graph theory. It then discusses incidence, adjacency, degrees, finite and infinite graphs, isolated and pendant vertices, null graphs, and multigraphs. The document also defines complete graphs, regular graphs, cycles, isomorphism, subgraphs, walks, paths, circuits, connectivity, components, Euler graphs, Hamiltonian circuits/paths, trees, properties of trees, distance in trees, eccentricity, center, distance metric, radius, diameter, rooted trees, and binary rooted trees.
This document provides an introduction to graph theory, including basic terminology and concepts. It defines what a graph is mathematically as a collection of vertices and edges. It describes different types of graphs such as simple graphs, multiple graphs, weighted graphs, finite and infinite graphs, labeled graphs, and directed graphs. It also defines graph theory terms like adjacency, incidence, degree of a vertex, isomorphism, subgraphs, and graph operations like union and intersection. The document provides examples to illustrate each term and concept.
This document provides an introduction to graph theory, including basic terminology and concepts. It defines what a graph is mathematically as a collection of vertices and edges. It describes different types of graphs such as simple graphs, multiple graphs, weighted graphs, finite and infinite graphs, labeled graphs, and directed graphs. It also defines graph theory terms like adjacency, incidence, degree of a vertex, isomorphism, subgraphs, and graph operations like union and intersection. The document provides examples to illustrate each term and concept.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
1) This document discusses graph colouring and related concepts like chromatic number, independent sets, cliques, greedy algorithms, degeneracy, Mycielski's construction, critical graphs, and counting colourings.
2) Key results include Brooks' Theorem which gives an upper bound for chromatic number based on maximum degree, and Gallai-Roy-Vitaver Theorem relating chromatic number to longest directed path in an orientation.
3) Mycielski's construction is introduced as a way to increase the chromatic number of a graph by 1 while preserving being triangle-free.
This document discusses theorems related to list coloring of graphs. It begins with definitions of graph coloring, list coloring, and other graph theory concepts. It then discusses several important theorems in the area, including:
- Thomassen's 5-list coloring theorem, which states that planar graphs are 5-list colorable.
- A result showing that the list chromatic number of a graph is bounded above by the maximum degree plus one.
- Examples showing that planar graphs require lists of size at least 4, as 4-list coloring is not always possible.
- A relationship between list coloring and sum-list coloring, and results relating their parameters.
An Application of Gd-Metric Spaces and Metric Dimension of GraphsGiselleginaGloria
The idea of metric dimension in graph theory was introduced by P J Slater in [2]. It has been found applications in optimization, navigation, network theory, image processing, pattern recognition etc. Several other authors have studied metric dimension of various standard graphs. In this paper we introduce a real valued function called generalized metric → + Gd : X × X × X R where X = r(v /W) = {(d(v,v1 ),d(v,v2 ),...,d(v,vk /) v∈V (G))}, denoted Gd and is used to study metric dimension of graphs. It has been proved that metric dimension of any connected finite simple graph remains constant if Gd numbers of pendant edges are added to the non-basis vertices.
A graph is planar if it can be drawn on a plane without edge crossings. The complete graphs K5 and K3,3 are non-planar as they contain subgraphs that cannot be drawn without crossings. The Euler formula relates the number of vertices, edges, and faces in a planar graph as e - n + f = 2. Planarity can be tested using Kuratowski's theorem which states that a graph is planar unless it contains K5 or K3,3 as a subgraph.
1) Decorticate animal is the one without cerebral cortex
1) The preparation of decerebrate animal occurs because of the removal of all connections of cerebral hemispheres at the level of midbrain
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On the Equality of the Grundy Numbers of a Graphjosephjonse
Our work becomes integrated into the general problem of the stability of the network ad hoc. Some, works attacked(affected) this problem. Among these works, we find the modelling of the network ad hoc in the form of a graph. Thus the problem of stability of the network ad hoc which corresponds to a problem of allocation of frequency amounts to a problem of allocation of colors in the vertex of graph. we present use a parameter of coloring " the number of Grundy”. The Grundy number of a graph G, denoted by Γ(G), is the largest k such that G has a greedy k-coloring, that is a coloring with colours obtained by applying the greedy algorithm according to some ordering of the vertices of G. In this paper, we study the Grundy number of the lexicographic, Cartesian and direct products of two graphs in terms of the Grundy numbers of these graphs.
In this paper, we show that the number of edges for any odd harmonious Eulerian graph is congruent to 0 or 2 (mod 4), and we found a counter example for the inverse of this statement is not true. We also proved that, the graphs which are constructed by two copies of even cycle Cn sharing a common edge are odd harmonious. In addition, we obtained an odd harmonious labeling for the graphs which are constructed by two copies of cycle Cn sharing a common vertex when n is congruent to 0 (mod 4). Moreover, we show that, the Cartesian product of cycle graph Cm and path Pn for each n ≥ 2, m ≡ 0 (mod 4) are odd harmonious graphs. Finally many new families of odd harmonious graphs are introduced.
I am Irene M. I am a Stochastic Processes Assignment Expert at statisticsassignmenthelp.com. I hold a Master's in Statistics, from California, USA. I have been helping students with their homework for the past 6 years. I solve assignments related to Stochastic Processes.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Stochastic Processes Assignments.
This document provides an introduction to graph theory through a presentation on the topic. It defines what a graph is by explaining that a graph G consists of a set of vertices V and edges E. It then gives examples and defines basic terminology like adjacency and incidence. The document also covers topics like degrees of vertices, regular and bipartite graphs, and representations of graphs through adjacency and incidence matrices.
This document provides an introduction to graph theory concepts. It defines what a graph is consisting of vertices and edges. It discusses different types of graphs like simple graphs, multigraphs, digraphs and their properties. It introduces concepts like degrees of vertices, handshaking lemma, planar graphs, Euler's formula, bipartite graphs and graph coloring. It provides examples of special graphs like complete graphs, cycles, wheels and hypercubes. It discusses applications of graphs in areas like job assignments and local area networks. The document also summarizes theorems regarding planar graphs like Kuratowski's theorem stating conditions for a graph to be non-planar.
This document summarizes research on extremal graphs without three-cycles or four-cycles. The authors derive theoretical upper and lower bounds on the maximum number of edges f(v) in graphs of order v that contain no three-cycles or four-cycles. They provide the exact values of f(v) for all v up to 24 and constructive lower bounds for f(v) up to 200. The document also defines restricted tree structures that are useful in analyzing extremal graphs and establishes properties of these graphs.
The document provides definitions and examples related to graphs. It defines graphs, directed graphs, and terminology like vertices, edges, degrees, adjacency, and isomorphism. It discusses representations of graphs using adjacency lists and matrices. It also covers special types of graphs like trees, cycles, and bipartite graphs. Key concepts are illustrated with examples.
Applications and Properties of Unique Coloring of GraphsIJERA Editor
This paper studies the concepts of origin of uniquely colorable graphs, general results about unique vertex colorings, assorted results about uniquely colorable graphs, complexity results for unique coloring Mathematics Subject Classification 2000: 05CXX, 05C15, 05C20, 37E25.
New Classes of Odd Graceful Graphs - M. E. Abdel-AalGiselleginaGloria
In this paper, we introduce the notions of m-shadow graphs and n-splitting graphs,m ≥ 2, n ≥ 1. We
prove that, the m-shadow graphs for paths, complete bipartite graphs and symmetric product between
paths and null graphs are odd graceful. In addition, we show that, the m-splitting graphs for paths, stars
and symmetric product between paths and null graphs are odd graceful. Finally, we present some examples
to illustrate the proposed theories.
1. Graph and Graph Terminologiesimp.pptxswapnilbs2728
There are five main categories of graphs: simple graphs, multigraphs, pseudographs, directed graphs, and directed multigraphs. An undirected graph G consists of a set of vertices V and a set of edges E that connect the vertices. A directed graph consists of vertices V and directed edges E that have an initial and terminal vertex. There are several special types of simple graphs including complete graphs, cycles, wheels, and bipartite graphs.
This document contains definitions and explanations of various graph theory terms in the form of 26 multiple choice questions. Some key terms defined and explained include: graph, simple graph, connected graph, components, tree, rooted tree, binary tree, walk, path, circuit, degree, adjacency, incidence, isomorphism, subgraph, Euler graph, and Hamiltonian path. Examples are provided to illustrate many of the graph theory concepts discussed.
This document contains 26 multiple choice questions and their answers related to graph theory. It begins by defining key graph theory terms like graphs, vertices, edges, simple graphs, and applications of graph theory. It then discusses incidence, adjacency, degrees, finite and infinite graphs, isolated and pendant vertices, null graphs, and multigraphs. The document also defines complete graphs, regular graphs, cycles, isomorphism, subgraphs, walks, paths, circuits, connectivity, components, Euler graphs, Hamiltonian circuits/paths, trees, properties of trees, distance in trees, eccentricity, center, distance metric, radius, diameter, rooted trees, and binary rooted trees.
This document provides an introduction to graph theory, including basic terminology and concepts. It defines what a graph is mathematically as a collection of vertices and edges. It describes different types of graphs such as simple graphs, multiple graphs, weighted graphs, finite and infinite graphs, labeled graphs, and directed graphs. It also defines graph theory terms like adjacency, incidence, degree of a vertex, isomorphism, subgraphs, and graph operations like union and intersection. The document provides examples to illustrate each term and concept.
This document provides an introduction to graph theory, including basic terminology and concepts. It defines what a graph is mathematically as a collection of vertices and edges. It describes different types of graphs such as simple graphs, multiple graphs, weighted graphs, finite and infinite graphs, labeled graphs, and directed graphs. It also defines graph theory terms like adjacency, incidence, degree of a vertex, isomorphism, subgraphs, and graph operations like union and intersection. The document provides examples to illustrate each term and concept.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
1) This document discusses graph colouring and related concepts like chromatic number, independent sets, cliques, greedy algorithms, degeneracy, Mycielski's construction, critical graphs, and counting colourings.
2) Key results include Brooks' Theorem which gives an upper bound for chromatic number based on maximum degree, and Gallai-Roy-Vitaver Theorem relating chromatic number to longest directed path in an orientation.
3) Mycielski's construction is introduced as a way to increase the chromatic number of a graph by 1 while preserving being triangle-free.
This document discusses theorems related to list coloring of graphs. It begins with definitions of graph coloring, list coloring, and other graph theory concepts. It then discusses several important theorems in the area, including:
- Thomassen's 5-list coloring theorem, which states that planar graphs are 5-list colorable.
- A result showing that the list chromatic number of a graph is bounded above by the maximum degree plus one.
- Examples showing that planar graphs require lists of size at least 4, as 4-list coloring is not always possible.
- A relationship between list coloring and sum-list coloring, and results relating their parameters.
An Application of Gd-Metric Spaces and Metric Dimension of GraphsGiselleginaGloria
The idea of metric dimension in graph theory was introduced by P J Slater in [2]. It has been found applications in optimization, navigation, network theory, image processing, pattern recognition etc. Several other authors have studied metric dimension of various standard graphs. In this paper we introduce a real valued function called generalized metric → + Gd : X × X × X R where X = r(v /W) = {(d(v,v1 ),d(v,v2 ),...,d(v,vk /) v∈V (G))}, denoted Gd and is used to study metric dimension of graphs. It has been proved that metric dimension of any connected finite simple graph remains constant if Gd numbers of pendant edges are added to the non-basis vertices.
A graph is planar if it can be drawn on a plane without edge crossings. The complete graphs K5 and K3,3 are non-planar as they contain subgraphs that cannot be drawn without crossings. The Euler formula relates the number of vertices, edges, and faces in a planar graph as e - n + f = 2. Planarity can be tested using Kuratowski's theorem which states that a graph is planar unless it contains K5 or K3,3 as a subgraph.
1) Decorticate animal is the one without cerebral cortex
1) The preparation of decerebrate animal occurs because of the removal of all connections of cerebral hemispheres at the level of midbrain
An upper limit to the lifetime of stellar remnants from gravitational pair pr...Sérgio Sacani
Black holes are assumed to decay via Hawking radiation. Recently we found evidence that spacetime curvature alone without the need for an event horizon leads to black hole evaporation. Here we investigate the evaporation rate and decay time of a non-rotating star of constant density due to spacetime curvature-induced pair production and apply this to compact stellar remnants such as neutron stars and white dwarfs. We calculate the creation of virtual pairs of massless scalar particles in spherically symmetric asymptotically flat curved spacetimes. This calculation is based on covariant perturbation theory with the quantum f ield representing, e.g., gravitons or photons. We find that in this picture the evaporation timescale, τ, of massive objects scales with the average mass density, ρ, as τ ∝ ρ−3/2. The maximum age of neutron stars, τ ∼ 1068yr, is comparable to that of low-mass stellar black holes. White dwarfs, supermassive black holes, and dark matter supercluster halos evaporate on longer, but also finite timescales. Neutron stars and white dwarfs decay similarly to black holes, ending in an explosive event when they become unstable. This sets a general upper limit for the lifetime of matter in the universe, which in general is much longer than the HubbleLemaˆ ıtre time, although primordial objects with densities above ρmax ≈ 3×1053 g/cm3 should have dissolved by now. As a consequence, fossil stellar remnants from a previous universe could be present in our current universe only if the recurrence time of star forming universes is smaller than about ∼ 1068years.
cdna synthesis and construction of gene libraries.pptxjatinjadon777
I am a student of botany in jamia hamdard bsc 3rd year . I recently prepared a ppt on cDNA synthesis and construction of genomic library.
I hope this will help you and will be informative.
This presentation explores the application of Discrete Choice Experiments (DCEs) to evaluate public preferences for environmental enhancements to Airthrey Loch, a freshwater lake located on the University of Stirling campus. The study aims to identify the most valued ecological and recreational improvements—such as water quality, biodiversity, and access facilities by analyzing how individuals make trade-offs among various attributes. The results provide insights for policy-makers and campus planners to design sustainable and community-preferred interventions. This work bridges environmental economics and conservation strategy using empirical, choice-based data analysis.
Transgenic Mice in Cancer Research - Creative BiolabsCreative-Biolabs
This slide centers on transgenic mice in cancer research. It first presents the increasing global cancer burden and limits of traditional therapies, then introduces the advantages of mice as model organisms. It explains what transgenic mice are, their creation methods, and diverse applications in cancer research. Case studies in lung and breast cancer prove their significance. Future innovations and Creative Biolabs' services are also covered, highlighting their role in advancing cancer research.
Anti fungal agents Medicinal Chemistry IIIHRUTUJA WAGH
Synthetic antifungals
Broad spectrum
Fungistatic or fungicidal depending on conc of drug
Most commonly used
Classified as imidazoles & triazoles
1) Imidazoles: Two nitrogens in structure
Topical: econazole, miconazole, clotrimazole
Systemic : ketoconazole
Newer : butaconazole, oxiconazole, sulconazole
2) Triazoles : Three nitrogens in structure
Systemic : Fluconazole, itraconazole, voriconazole
Topical: Terconazole for superficial infections
Fungi are also called mycoses
Fungi are Eukaryotic cells. They possess mitochondria, nuclei & cell membranes.
They have rigid cell walls containing chitin as well as polysaccharides, and a cell membrane composed of ergosterol.
Antifungal drugs are in general more toxic than antibacterial agents.
Azoles are predominantly fungistatic. They inhibit C-14 α-demethylase (a cytochrome P450 enzyme), thus blocking the demethylation of lanosterol to ergosterol the principal sterol of fungal membranes.
This inhibition disrupts membrane structure and function and, thereby, inhibits fungal cell growth.
Clotrimazole is a synthetic, imidazole derivate with broad-spectrum, antifungal activity
Clotrimazole inhibits biosynthesis of sterols, particularly ergosterol an essential component of the fungal cell membrane, thereby damaging and affecting the permeability of the cell membrane. This results in leakage and loss of essential intracellular compounds, and eventually causes cell lysis.
The Link Between Subsurface Rheology and EjectaMobility: The Case of Small Ne...Sérgio Sacani
The dynamics of crater ejecta are sensitive to the material properties of the target, much like thecrater size and morphology. We isolate and quantify the effect of target properties on the ejecta mobility (EM) ‐the maximum radial extent of ejecta scaled by the crater radius. We compile geologically motivated subsurfacestructures based on data gathered by orbiters and landers. Those structures arise from varying properties ofmaterials in single layers (strength, composition, porosity); the thickness of top regolith cover; and the sequenceand thicknesses of 3–4 stacked layers. We realize 2D simulations with the iSALE shock physics code whichresult in a 50 m diameter crater (an analog of new craters formed in the period of spacecraft observation). Wefind that varied subsurface rheologies result in EM numbers with a wide range of values between 7 and 19. Somesubsurface models can result in a similar EM, and some have distinct EMs, which shows potential for using thisquantity as a new diagnostic of target properties. We also show that ejecta dynamics are sensitive not only to thematerial in the excavation zone but also at much greater depths than commonly assumed (at least 1–2 craterradii). EM also depends on both material properties and layering: the impedance contrast governs the nature ofwave propagation, while the layer depth controls the timing of the shock wave reflection. Detailed studies of EMthus have promise for unveiling shallow subsurface rheologies on many Solar System bodies in the future.
This is an exit exam questions prepared for Forestry Departments from Forestry Department - Wollega University - Gimbi Campus.
The questions consists different courses such as Plantation Establishment and management, Silviculture, Forest Seed and Nursery, Biodiversity Management, Wood Processing, Forest Biometry, Dendrology, Forest Management, Agroforestry, NTFPs, Forest Ecology, Mensuration, Forest Road, Forest Protection, etc.
The question has about 100 Multiple Choice Items with its Answers. This Material will helps students and professionals of Forestry at University and college Levels.
Anthelmintics Medicinal Chemistry III PPTHRUTUJA WAGH
Slide 1: Anthelmintics
Drugs that expel parasitic worms (helminths) from the body.
Used to treat infections caused by helminths such as roundworms, tapeworms, and flukes.
Slide 2: Classification of Anthelmintics
According to Spectrum
Narrow Spectrum: Acts against a single type of helminth.
Broad Spectrum: Effective against multiple types.
According to Action
Vermifuges: Paralyze worms.
Vermicides: Kill worms.
Slide 3: Examples of Anthelmintics
Drug Name Use
Albendazole Broad-spectrum, GI worms
Mebendazole Roundworms, whipworms
Praziquantel Flukes, tapeworms
Pyrantel pamoate Roundworms, hookworms
Niclosamide Tapeworms
Slide 4: Albendazole
Broad-spectrum benzimidazole.
Mechanism: Inhibits tubulin polymerization → impairs glucose uptake in parasites.
Uses: Ascariasis, hookworm, trichuriasis, hydatid disease.
Slide 5: Mebendazole
Similar to albendazole.
Inhibits microtubule synthesis.
Used in treatment of pinworm, whipworm, hookworm, and roundworm infections.
Slide 6: Praziquantel
Effective against trematodes and cestodes.
Mechanism: Increases permeability of worm cells to calcium → paralysis.
Used in schistosomiasis and tapeworm infections.
Slide 7: Pyrantel Pamoate
Depolarizing neuromuscular blocking agent.
Causes paralysis of worms → expelled from body.
Used for pinworm, roundworm, and hookworm infections.
Slide 8: Niclosamide
Kills tapeworms by inhibiting oxidative phosphorylation in mitochondria.
Used for Taenia saginata and Taenia solium infections.
Not effective against tissue forms.
Slide 9: Side Effects
Nausea
Abdominal pain
Headache
Dizziness
Rare: Hepatotoxicity, bone marrow suppression (mostly with prolonged use)
2. 1.c)State and prove the handshaking theorem. [June 2017, 5
marks]
Handshaking problem :
If G is a (p,q) graph withV(G)={V1….Vp} and di=dG(Vi), 1≤i≤p, then
3. 1.d)Define the following symbols : i) δ (G)[June 2017,1
mark]
Minimum vertex degree of a graph is δ (G). It is min{dG(x) :x∈V(G)} .
δ (G) is a non-negative integer.
δ (G)=1
G
4. 2.a)What is meant by complement of a graph ? Find the
complement of the C5 graph (i.e. C5 ). [June 2017, 3
marks]
Complement of a graph : Let graph G=(V,E) be a (p,q) graph. Complement of the graph is a
graph V( ) =V(G) and E( )= {xy : xy ∉ E (G), x, y ∈V (G)}.
C5
5. 2.b) What is a complete graph ? [June 2017, 2 marks]
Complete graph : Graph in which any two vertices are adjacent, i.e. each vertex is joined to
every other vertex by a vertex. A complete graph on n vertices is represented by Kn.
6. 5.c)Define isomorphism. Determine whether the following
pair of graphs are isomorphic : [June 2017, 3 marks]
Let G=(V(G),E(G)) and H=(V(H),E(H)) be two graphs. Let us map a function f:V(G)->V(H).
Then two graphs are said to be isomorphic, if
i) F is one-one and onto, and
ii) xy ∈ E(G) if and only if f(x) f(y) ∈ E(H)
If not they are called non-isomorphic graphs.
G H
7. To check for isomorphism check the following :
1. Number of vertices
Number of vertices in G=5
Number of vertices in H=5
2. Number of edges
Number of edges in G=5
Number of edges in H=5
3. Degree sequence
Degree sequence of G : <2,2,2,2,2>
8. Degree of sequence of H : <2,2,2,2,2>
The above shows that degree sequence of two graphs is the same.
f(u1)=v1, f(u2)=v2, f(u3)=v3, f(u4)=v4, f(u5)=v5
From the above checks, we can conclude that the two graphs are isomorphic.
9. 3.c)What do you mean by isomorphic graphs ?[June 2016, 2
marks]
Let G=(V(G),E(G)) and H=(V(H),E(H)) be two graphs. Let us map a function f:V(G)->V(H).
Then two graphs are said to be isomorphic, if
i) F is one-one and onto, and
ii) xy ∈ E(G) if and only if f(x) f(y) ∈ E(H)
If not they are called non-isomorphic graphs.
10. To check if two graphs check for these conditions :
1. Count the number of vertices – must be equal
2. Count the number of edges – must be equal
3. Degree sequence – must be same
4. Number of cycles – must be same
5. Max degree vertex and min degree vertex
6. Peculiarity of adjacent vertices
11. To check for isomorphism check the following :
1. Number of vertices
Number of vertices in G=5
Number of vertices in H=5
Consider the two graphs:
12. 2. Number of edges
Number of edges in G=5
Number of edges in H=5
3. Degree sequence
Degree sequence of G : <2,2,2,2,2>
Degree of sequence of H : <2,2,2,2,2>
The above shows that degree sequence of two graphs is the same.
From the above checks, we can conclude that the two graphs are isomorphic.
13. 4.a) State Handshaking Theorem.[June 2016,3 marks]
If G is a (p,q) graph withV(G)={V1….Vp} and di=dG(Vi), 1≤i≤p, then
14. 4.b) A non-directed graph G has 8 edges. Find the number
of vertices, if the degree of each vertex in G is 2. [June
2016, 3 marks]
According to the formula,
q=8
Sum of degree of all vertices < = 2 * no. of edges . [According to Handshaking theorem]
Let n be number of vertices in graph.
==> 2*n = 2*8
==> 2n=16
==> n=8
15. 1.b)Prove that the complement of is G.[December 2016,5
marks]
Let graph G=(V,E) be a (p,q) graph. Complement of the graph is a graph V( ) =V(G) and E( )=
{xy : xy ∉ E (G), x, y ∈V (G)}.
From the above definition, we can say that complement of a graph has,
V( )=V(G) and E( )= {xy : xy ∉ E (G), x, y ∈V (G)}.
Complement of is G
(V( ))’=V(G) and (E( ) )’={xy : xy ∉ E ( ), x, y ∈V (G)}=E(G)
Hence proved.
Example :
17. 1.c)Draw at least 3 non-isomorphic graphs on 4
vertices.[December 2016,5 marks]
18. 1.c)Determine whether the following graphs are isomorphic.
If yes, justify your answer. [December 2016,December
2010,4 marks]
Number of vertices in G= 4
Number of vertices in H=4
Number of edges in G=6
Number of edges in H=6
Degree sequence of G : {4,4,2,2}
Degree sequence of H : {3,3,3,3}
Degree sequences of graph G and H are different, therefore the two graphs are non-isomorphic.
19. 1.d)What is an undirected graph ? Prove that an undirected
graph has even number vertices of odd degree.[December
2016, 4 marks]
Undirected graph G is a finite non-empty setV together with set E containing pairs of points of
V. V is called the vertex set and E is the edge set of G. In undirected graph, E(G) will be
symmetric onV(G). If (u,v) is there, then (v,u) will be there.
Any graph can only have an even number of odd vertices.
Consider a (p,q) graph with {x1,x2,…..xt} is a set of odd vertices and {xt+1,…..xp} is a set of
even vertices.
Let dG(xi)=2ci+1 1≤i≤t and dG(xi)=2ri t+1≤i≤p
20. 2.a)Define n-regular graph. Show for which value of n the
following graphs are regular : (i) Kn (ii) Qn [December
2016, 5 marks]
It is a graph in which each vertex has the same degree. It is said to be regular graph degree of
regularity r. G is an r-regular graph where 0≤r≤(p-1).
i) Kn
Kn is a regular graph with n=3.
The degree of each vertex is 2. So, K3 is regular graph.
Kn for n>3 it is (n–1)-regular.
21. 2.c)How many edges does a complete graph of 5 vertices
have ? [December 2016,2 marks]
Number of edges in a complete graph of n vertices = n(n-1)/2
In the above question,
number of vertices ,n =5
Number of edges = (n(n-1))/2
= (5(5-1))/2
=(5*4)/2
=10
22. 3.b)Define a graph and a subgraph. Show that for a subgraph H of
a graph G Δ (H) ≤ Δ (G). [December 2016S, 5 marks]
A graph is a set of the form {(x,f(x)): x is a domain of function f}.
Example :
Let G = (V (G), E (G)) be a graph. A subgraph H of the graph G is a graph, such that every vertex
of H is a vertex of G, and every edge of H is an edge of G also, that is,V (H) ⊆V (G) and E (H) ⊆ E
(G).
23. 3.a)Show that for a subgraph H of a graph G Δ (H) ≤ Δ (G).
[December 2014, December 2011,June 2010,December 2010, 5marks]
Let x ∈V(H) such that dH(x) = H(Δ)
Then, NH(x) ⊆ NG(x) .Thus,
Δ (H)=| NH (x)| ≤ | NG (x)|≤Δ (G)
24. 2.d)Define Graph and Subgraph. Give an example of a subgraph H
of a graph G with δ (G) < δ (H) and Δ (H) ≤ Δ (G).[June 2015,4
marks]
A graph is a set of the form {(x,f(x)): x is a domain of function f}.
Example :
Let G = (V (G), E (G)) be a graph. A subgraph H of the graph G is a graph, such that every vertex
of H is a vertex of G, and every edge of H is an edge of G also, that is,V (H) ⊆V (G) and E (H) ⊆ E
(G).
26. 1.a)Define regular graph. Find the number of edges of a 4-
regular graph with 6 vertices.[December 2015,3 marks]
It is a graph in which each vertex has the same degree. It is said to be regular graph degree of
regularity r. G is an r-regular graph where 0≤r≤(p-1).
Kn is a regular graph with degree of regularity (n-1) when n > 3.
4-regular graph with 6 vertices:
Number of edges =12
27. 3.c)Define isomorphic graph. Give an example of the
same.[December 2015, 2 marks]
Let G=(V(G),E(G)) and H=(V(H),E(H)) be two graphs. Let us map a function f:V(G)->V(H).
Then two graphs are said to be isomorphic, if
i) F is one-one and onto, and
ii) xy ∈ E(G) if and only if f(x) f(y) ∈ E(H)
If not they are called non-isomorphic graphs.
28. Both are (5, 5)-graphs. Degree sequence of both the graphs is <2,2,2,2,2>. Both these graphs
have a copy of C5.Therefore, both these graphs are isomorphic.
29. 4.b)For the following graph G, draw subgraphs 3 (i) G - e
(ii) G - a . [December 2015,3 marks]
Graph G:
i) G-e ii)
a
e
30. Define : (i) Simple graph (ii) Finite and infinite graph
(iii) Isolated vertex (iv) Subgraph[June 2014, 4 marks]
i) Simple graph :
Undirected graph that has no loops or multiple edges is called a simple graph.When an edge
joins a vertex to itself is called a loop.Two or more edges that joins the same vertices are
parallel or multiple edges.
ii) Finite and infinite graph : A graph with a finite number of vertices and edges is called a finite
graph. A graph with a finite number of nodes and edges.
31. iii)Isolated vertex :Vertex with degree zero is called an isolated vertex.
iv) Subgraph : Let G = (V (G), E (G)) be a graph. A subgraph H of the graph G is a graph, such
that every vertex of H is a vertex of G, and every edge of H is an edge of G also, that is,V (H) ⊆V
(G) and E (H) ⊆ E (G).
32. 1.f)How many edges are there in a graph with 10 vertices
each of degree 6 ? [June 2014,3 marks]
According to Handshaking theorem,
q: number of edges
p: number of vertices
di: degree of vertex I
In the above question : p=10, d(i)=6
2q=10*6=60
q=30
33. 3.b)Define Isomorphism of two graphs. Find whether the
given graphs are isomorphic or not.[June 2014,5 marks]
Let G=(V(G),E(G)) and H=(V(H),E(H)) be two graphs. Let us map a function f:V(G)->V(H).
Then two graphs are said to be isomorphic, if
i) F is one-one and onto, and
ii) xy ∈ E(G) if and only if f(x) f(y) ∈ E(H)
If not they are called non-isomorphic graphs.
34. Number of vertices in first graph = 8
Number of vertices in second graph = 8
Number of edges in first graph = 10
Number of edges in second graph = 10
Degree sequence of both the graphs is : <3,3,3,3,2,2,2,2>
These conditions satisfies but still the graphs are non-isomorphic.This is because the two
graphs are not structurally identical.
a b
c d
e f
g
h
A B
C D
E F
G
H
G
H
35. In graph G, A is a vertex of degree 2, which must corresponds to either B, D, F or G in H.
Each of these four vertices in H is adjacent to another vertex of degree two in H, which is not
true for a in G.
Therefore, these are not isomorphic.
36. 5.b)State and prove Handshaking Theorem.[June 2014, 5
marks]
Handshaking problem :
If G is a (p,q) graph withV(G)={V1….Vp} and di=dG(Vi), 1≤i≤p, then
37. 1.d)State and prove Handshaking Theorem.[December
2014,December 2010, 4 marks]
Handshaking problem :
If G is a (p,q) graph withV(G)={V1….Vp} and di=dG(Vi), 1≤i≤p, then
38. 3.a)Show that for a subgraph H of a graph G Δ (H) ≤ Δ (G).
[December 2014, December 2011,June 2010,December 2010, 5marks]
Let x ∈V(H) such that dH(x) = H(Δ)
Then, NH(x) ⊆ NG(x) .Thus,
Δ (H)=| NH (x)| ≤ | NG (x)|≤Δ (G)
39. 1.a)Define : 4 (i) Graph (ii) Simple Graph (iii) null
graph (iv) connected Graph [December 2013,4 marks]
i) Graph :It is a set of the form {(x,f(x)): x is a domain of function f}.
ii) Simple graph :
Undirected graph that has no loops or multiple edges is called a simple graph.When an edge
joins a vertex to itself is called a loop.Two or more edges that joins the same vertices are
parallel or multiple edges.
40. iii) Null graph : A graph with isolated vertices and no edges is called a null graph. It is also known
as an empty graph.
iv) Connected graph : A graph is connected when there is a path between every pair of vertices.
In a connected graph, there are no unreachable vertices.
41. 1.d)Define δ (G) and Δ (G) for a graph G.[December 2013,2
marks]
δ(G) is called the minimum vertex degree of G. It is min{dG(x) :x∈V(G)} . It is a non-negative
integer.
δ(G)=1
Δ (G) is called the maximum vertex degree of G. It is max{dG(x) :x∈V(G)}. It is a non-negative
integer.
Δ(G)=3
42. 4.b)Are the following graphs isomorphic ? If Yes or No
justify.[December 2013,June 2010,4 marks]
Number of vertices in G = 6
Number of vertices in H = 6
Number of edges in G = 11
H
G
43. Number of edges in H = 10
The two graphs have different number of edges.Therefore, the two graphs are not isomorphic.
44. 1.d)Find the degree of each vertex in the given
graph.[June 2012,4 marks]
Degree of each vertex in the above graph is :
d(v1)=2 d(v6)=
d(v2)=4 d(v7)=2
d(v3)=4
d(v4)=2
d(v5)=3
45. 1.e)What is the complement of the given graph.[June 2012,4
marks]
Complement of the above graph :
46. 2.a)Determine whether the graphs are isomorphic. [June
2012,5 marks]
G H
V(G)=5 V(H)=5
E(G)=8 E(H)=7
Number of edges is not the same in G and H.
Therefore, the graphs are not isomorphic.
48. 1.b)A graph G is said to be self complementary if it is
isomorphic to its complement G . Show that for a self
complementary (p, q)-graph G, either p or (p – 1) is
divisible by 4.[June 2011,4 marks]
SupposeG is a (p, q)-graph.
Then E (G) ∪ E( ) = {the set of all pairs of vertices inV (G)}.
Thus, q+ =(p(p-1))/2
If the graph G is self complementary, then q = .Thus, p (p –1) = 2q + 2q = 4q, that is 4 divides
p (p –1). Since only one of p or (p –1) is even, this means either p or (p – 1) is divisible by 4.
49. 1.c)Define minimum vertex degree of G (δ (G))and maximum
vertex degree of G (Δ (G)).[June 2011,3 marks]
δ(G) is called the minimum vertex degree of G. It is min{dG(x) :x∈V(G)} . It is a non-negative
integer.
δ(G)=1
Δ (G) is called the maximum vertex degree of G. It is max{dG(x) :x∈V(G)}. It is a non-negative
integer.
Δ(G)=3
50. 5.a)Can a simple graph exist with 15 vertices, with each
of degree five ? Justify your answer.[June 2011,3 marks]
A corollary in graph theory states that “Any graph can only have an even number of odd
vertices”.This is because of the handshaking problem.
According to the question,
Number of vertices, p=15
Degree of each vertices, D(Vi)=5
This graph has 15 odd vertices which is odd, so the above graph cannot exist.
51. 5.b)Are the following graphs are isomorphic ? 4 If Yes or
No Justify.[June 2011,4 marks]
Number of vertices in G=5
Number of vertices in H=5
Number of edges in G=5
Number of edges in H=5
G
H
52. Degree sequence of G : <2,2,2,2,2>
Degree Sequence of H : <2,2,2,2,2>
f(a)=2 f(b)=4 f(c)=1 f(d)=3 f(e)=5
This shows that the two graphs are isomorphic.
53. 4.a)Define the concept of a complete graph. Draw complete
graph each for the case when number of vertices is given
by : n=3, n=4.[June 2010,3 marks]
Complete graph : Graph in which any two vertices are adjacent, i.e. each vertex is joined to
every other vertex by a vertex. A complete graph on n vertices is represented by Kn.
n=3
n=4
54. 1.c)Define r-regular graph. Give an example of 3-regular
graph.[December 2010,3 marks]
It is a graph in which each vertex has the same degree. It is said to be regular graph degree of
regularity r. G is an r-regular graph where 0≤r≤(p-1).
Kn is a regular graph with degree of regularity (n-1) when n > 3.
55. 1.b)Show that the sum of the degrees of all vertices of a
graph is twice the number of edges in the graph.[June
2009,3 marks]
Sum of the degrees of al vertices of a graph is twice the number of edges in the graph.This is
called handshaking problem.
56. 1.c)Define isomorphism of graphs. Determine whether the
graphs are isomorphic.
Let G=(V(G),E(G)) and H=(V(H),E(H)) be two graphs. Let us map a function f:V(G)->V(H).
Then two graphs are said to be isomorphic, if
i) F is one-one and onto, and
ii) xy ∈ E(G) if and only if f(x) f(y) ∈ E(H)
If not they are called non-isomorphic graphs.
Number of vertices in G=6
Number of vertices in H=6
Number of edges in G=5
Number of edges in H=5
57. Degree sequence of G : <3,2,2,1,1,1>
Degree sequence of H : <3,2,2,1,1,1>
The two graphs are not isomorphic.This is because in graph G, vertex p with degree 3 is
adjacent to two vetices of degree 1 (u,v) and a vertex with degree 2 (q).This is not the case in
graph H(vertex with degree 3 is adjacent to two vertices with degree 2 and a vertex with degree
1).
58. 1.f) What is the complement of the given graph?[June
2009,3 marks]
59. 3.b)How many vertices will the following graphs have if
they contain :[June 2009,4 marks]
i) 16 edges and all vertices of degree 2.
Sum of all degrees of vertices=2* number of edges
Let number of vertices be n.
2 * n= 2*16
n=16
ii) 21 edges, 3 vertices of degree 4 and the other vertices of degree 3
Let n be the number of vertices.
(3*4) +(n*3)=2*21
12+3n=42
61. 1.b)The number of vertices of odd degree in a graph is
always even.[December 2009,3 marks]
Any graph can only have an even number of odd vertices.
Consider a (p,q) graph with {x1,x2,…..xt} is a set of odd vertices and {xt+1,…..xp} is a set of
even vertices.
Let dG(xi)=2ci+1 1≤i≤t and dG(xi)=2ri t+1≤i≤p
62. 1.c)What is the complement of the given graph?[December
2009,2 marks]
63. 4.b)What is the largest number of vertices in a graph with
35 edges if all vertices are of degree at least 3
?[December 2009,5 marks]
Maximum degree of a graph >= Sum of degree of individual vertices
2E >= deg(V1) + deg(V2) + ... + deg(Vn)
2 * 35 >= 3 + 3 + ... + 3 ...(I),
70 >= 3n
23.33 >= n or 23 >= n
64. 1.a)Consider the graph below :[June 2008,2 mark]
i) Find δ (G) and , Δ (G)
Degree of v1 = 3 Degree of v2 = 3 Degree of v3 = 3 Degree of v4 = 4 Degree of v5 = 3
Degree of v6 = 4 Degree of v7 = 4 Degree of v8 = 4
From the above diagram, δ (G) = 3 Δ (G) = 4
65. ii) Draw the subgraph induced by the set {v1,v6, v4, v7,v2}
67. 1.a)Show that the graphs G and G’ are isomorphic.[December
2008,4 marks]
Number of vertices in G=7 Number of vertices in G’= 7
Number of edges= 13 Number of edges= 14
Therefore both the graphs are not isomorphic.