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BloodyFrozen
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Are there any basic prerequisites before learning about these branches of mathematics?
BloodyFrozen said:Are there any basic prerequisites before learning about these branches of mathematics?
BloodyFrozen said:How difficult are we speaking with matrices?
Normal det, or stuff like eigenvalues?
BloodyFrozen said:Great:)
Sorry for wasting time, but are there any good linear and abstract algebra that would go in harmony? (I new to the non-standard HS issued books)
BloodyFrozen said:What edition do you suggest for Pinter? and for friedberg, is 4th edition ok?
BloodyFrozen said:I was just wondering about Pinter because one is $115 and the other us $11. It's a large difference between the two. You have the second edition, right?
Robert1986 said:I haven't read nearly as many algebra books as say, micromass, has, but the best linear algebra book I have ever read is Finite Dimensional Vector Spaces by Paul Halmos. Yes, it looks like it was written on a typewriter (it was done WAY before LaTeX), but it is VERY good, IMHO.
Number Theory is the branch of mathematics that deals with the properties and relationships of numbers, particularly integers. It includes topics such as prime numbers, divisibility, and modular arithmetic.
Linear Algebra is the branch of mathematics that studies linear equations, vectors, matrices, and their properties. It is used to solve systems of equations, analyze geometric transformations, and understand the behavior of systems with multiple variables.
Abstract Algebra is the study of algebraic structures such as groups, rings, and fields. It focuses on the properties and relationships between these structures and their operations, rather than specific numerical values.
Number Theory is used in cryptography, coding theory, and computer science. Linear Algebra is used in physics, engineering, and computer graphics. Abstract Algebra has applications in cryptography, coding theory, and quantum mechanics.
Some common techniques used in Number Theory include modular arithmetic, the Euclidean algorithm, and the Sieve of Eratosthenes. In Linear Algebra, common techniques include Gaussian elimination, vector spaces, and eigenvalues. In Abstract Algebra, techniques such as group presentations, Cayley graphs, and homomorphisms are often used.