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Abstrak :
Skripsi ini membahas tentang Teorema Perron yang menjelaskan bahwa untuk matriks persegi yang positif mempunyai nilai eigen positif dan vektor eigen yang bersesuaian dengan nilai eigen tersebut merupakan vektor positif. Nilai eigen positif tersebut merupakan nilai eigen dominan dan dimensi dari ruang eigen yang bersesuaian dengan nilai eigen tersebut adalah 1. Untuk membuktikan Teorema Perron digunakan Teorema Brouwer’s Fixed Point. ......This small thesis discusses about The Perron’s Theorem which explained that for a positive square matrix has a positive eigenvalue and eigenvector which are corresponding with that eigenvalue is also a positive vector. That positive eigenvalue is a dominant eigenvalue, and the dimension of the eigenspace corresponding to the eigenvalue is 1. Perron’s Theorem is proved by using Brouwer's Fixed Point Theorem.

Abstrak :
Matriks antiadjacency dan adjacency adalah contoh matriks yang merepresentasikan suatu graf berarah. Entri-entri dari matriks antiadjacency dan adjacency dari suatu graf berarah merepresentasikan ada atau tidaknya busur berarah dari suatu simpul ke simpul lainnya. Pada skripsi ini dibahas mengenai polinomial karakteristik dan nilai eigen matriks antiadjacency dan adjacency graf friendship berarah siklik. Bentuk umum dari koefisien-koefisien polinomial karakteristik dari matriks antiadjacency didapatkan dengan menjumlahkan determinan matriks antiadjacency dari semua subgraf terinduksi baik yang siklik maupun asiklik. Sedangkan bentuk umum dari koefisien-koefisien polinomial karaktersitik dari matriks adjacency didapatkan dengan menjumlahkan nilai determinan matriks adjacency subgraf terinduksi yang siklik saja. Nilai eigen dari matriks antiadjacency dan adjacency dapat berupa bilangan riil dan bilangan kompleks. Nilai eigen diperoleh dengan metode faktorisasi dan subtitusi. Dari hasil penelitian diperoleh bahwa koefisien polinomial karakteristik dan nilai eigen dari matriks antiadjacency dan adjacency dapat dinyatakan dalam fungsi yang bergantung pada jumlah segitiga pada graf friendship berarah siklik.

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ABSTRACT
Antiadjacency and adjacency matrices are examples of matrices that represent a directed graph. The entries of the antiadjacency and adjacency matrices of a directed graph represent the presence or absence of directed arcs from one vertex to the others. This undergraduate thesis discusses the polynomial characteristics and eigenvalues of antiadjacency and adjacency matrices of directed cyclic friendship graphs. The general form of the coefficients of the characteristic polynomial of the antiadjacency matrix is obtained by adding the determinant of antiadjacency matrix of all the induced subgraphs, cyclic or acyclic. While the general form of the coefficients of the characteristic polynomial of the adjacency matrix is obtained by adding the determinant of adjacency matrix of the cyclic induced subgraphs. The eigenvalues of the antiadjacency and adjacency matrices can be real or complex numbers. The eigenvalues are obtained by the factorization and substitution methods. The result obtained shows that the characteristic polynomial coefficients and eigenvalues of the antiadjacency and adjacency matrices depend on the number of triangles in the cyclic directed friendship graph.

Abstrak :
Graf prisma adalah graf yang bersesuaiandengan kerangkabangun ruangprisma. Hanya graf prismaberarahsiklik dengan pola tertentu yang diperhatikandalam penelitian ini. Graf prismaberarahsiklik dinotasikan 𝑌𝑚(𝑚≥3),di mana 𝑚adalah setengah jumlah simpul,dan memiliki 2𝑚 simpul dan3𝑚busur. Sebuah graf dapat direpresentasikanmenggunakansebuah matriks. Ada beberapa jenis matriks yang biasanya digunakan dalam merepresentasikan graf. Diantaranya adalah matriks adjacency, anti-adjacency, dan Laplacianyang dibahas dalam penelitian ini. Polinomial karakteristik dari matriks adjacency, matriks anti-adjacency, dan matriks Laplaciandari graf prisma berarah siklik 𝑌𝑚diperoleh beserta nilai-nilaieigen real dan kompleksnya. Metode yang digunakan untuk membuktikan hasil-hasil penelitian iniadalah operasi baris matriks dan faktorisasi. Adapununtukpolinomial karakteristik dari matriks anti-adjacency𝑌𝑚, hasilnya dibuktikan dengan mengamati subgraf terinduksi siklik dan asiklik dari 𝑌𝑚berdasarkan sebuah teorema yang ditemukan dalam penelitian sebelumnya.

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A prism graph is a graph which corresponds to the skeleton of a prism. Only directed cyclic prism graphs with certain pattern are considered in this research. The directed cyclic prism graph is denoted 𝑌𝑚(m≥3),where 𝑚is half the number of vertices,and has 2𝑚vertices and 3𝑚edges.Agraph can be represented by usinga matrix. There are several types of matrices that are usually used in representing a graph. Among them aretheadjacency, anti-adjacency, and Laplacianmatriceswhich are discussedinthis research. The characteristic polynomialsof theadjacency matrix,theanti-adjacency matrix, and the Laplacian matrix of directed cyclic prism graph 𝑌𝑚are obtainedas well as their real and complex eigenvalues. The methods used toprovethe results are matrix row operations and factorizations.As for the characteristic polynomial of the anti-adjacency matrix of 𝑌𝑚, the results are proved byobserving the both cyclic and acyclic induced subgraphs of 𝑌𝑚according to a theorem invented in a previous research

Abstrak :
Graf Cayley dari grup Γ dengan himpunan penghubung S ⊆ Γ, dinyatakan sebagai Cay(Γ, S), adalah graf dengan himpunan simpul elemen-elemen Γ dan himpunan busur yang berisi busur xy yang memenuhi x · y −1 ∈ S untuk setiap x, y ∈ S. Matriks antiketetanggaan adalah salah satu cara representasi graf. Pada penelitian ini, diselidiki nilai eigen matriks antiketetanggaan graf Cay(Zn, S), dengan S ⊆ Zn − {0}. Untuk meneliti sifat nilai eigen matriks antiketetanggaan Cay(Zn, S), digunakan sifat nilai eigen matriks sirkulan. Dari bentuk umum nilai eigen matriks sirkulan, diturunkan sifat-sifat nilai eigen matriks antiketetangggaan Cay(Zn, S), dengan berbagai variasi himpunan S. Selain itu, diselidiki relasi nilai eigen matriks antiketetanggaan Cay(Zn, S) dengan matriks representasi graf Cayley Zn lainnya ......Cayley graph of group Γ with a connection set S ⊆ Γ, denoted by Cay(Γ, S), is a graph with Γ as vertex set and arcs set consisting of xy for all x, y ∈ Γ such that x · y −1 ∈ S . Antiadjacency matrix is one way of representing a graph. In this research, we investigate the properties of the eigenvalues of antiadjacency matrix of graph Cay(Zn, S). To find the eigenvalues of antiadjacency matrix of Cay(Zn, S), we use the properties of eigenvalues of circulant matrices. From this, the properties of eigenvalues of antiadjacency matrix of Cay(Zn, S), with arbitrary S, is derived. The relation between eigenvalues of antiadjacency matrix of Cay(Zn, S) and other matrix representations of Cayley graph of Zn is also explained.

Abstrak :
Perturbation Bounds for Matrix Eigenvalues contains a unified exposition of spectral variation inequalities for matrices. The text provides a complete and self-contained collection of bounds for the distance between the eigenvalues of two matrices, which could be arbitrary or restricted to special classes. The book emphasis on sharp estimates, general principles, elegant methods, and powerful techniques, makes it a good reference for researchers and students.

Abstrak :
This book is a guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems. The software described is based on the implicitly restarted Arnoldi method, which has been heralded as one of the three most important advances in large scale eigenanalysis in the past ten years. The book explains the acquisition, installation, capabilities, and detailed use of the software for computing a desired subset of the eigenvalues and eigenvectors of large (sparse) standard or generalized eigenproblems. It also discusses the underlying theory and algorithmic background at a level that is accessible to the general practitioner.

Abstrak :
This clearly written, self-contained volume studies the basic equations of kinetic theory in all of space. It contains up-to-date, state-of-the-art treatments of initial-value problems for the major kinetic equations, including the Boltzmann equation (from rarefied gas dynamics) and the Vlasov-Poisson/Vlasov-Maxwell systems (from plasma physics). This is the only existing book to treat Boltzmann-type problems and Vlasov-type problems together. Although these equations describe very different phenomena, they share the same streaming term. The author proves that solutions starting from a given configuration at an initial time exist for all future times by imposing appropriate hypotheses on the initial values in several important cases. He emphasizes those questions that a mathematician would ask first: Is there a solution to this problem? Is it unique? Can it be numerically approximated? The topics treated include the study of the Boltzmann collision operator, the study of the initial-value problem for the Boltzmann equation with "small" and "near equilibrium" data, global smooth solvability of the initial-value problem for the Vlasov-Poisson system with smooth initial data of unrestricted size, conditions under which the initial-value problem for the Vlasov-Maxwell system has global-in-time solutions (in both the smooth and weak senses), and more.

Abstrak :
This book presents the first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like algorithms for dense problems and Krylov subspace methods for sparse problems. The author discusses the theory of the generic GR algorithm, including special cases (for example, QR, SR, HR), and the development of Krylov subspace methods. Also addressed are a generic Krylov process and the Arnoldi and various Lanczos algorithms, which are obtained as special cases. The chapter on product eigenvalue problems provides further unification, showing that the generalized eigenvalue problem, the singular value decomposition problem, and other product eigenvalue problems can all be viewed as standard eigenvalue problems.

Abstrak :
Large-scale problems of engineering and scientific computing often require solutions of eigenvalue and related problems. This book gives a unified overview of theory, algorithms, and practical software for eigenvalue problems. It organizes this large body of material to make it accessible for the first time to the many nonexpert users who need to choose the best state-of-the-art algorithms and software for their problems. Using an informal decision tree, just enough theory is introduced to identify the relevant mathematical structure that determines the best algorithm for each problem. The algorithms and software at the "leaves" of the decision tree range from the classical QR algorithm, which is most suitable for small dense matrices, to iterative algorithms for very large generalized eigenvalue problems. Algorithms are presented in a unified style as templates, with different levels of detail suitable for readers ranging from beginning students to experts. The authors' comprehensive treatment includes a treasure of further bibliographic information.