[PDF] The Fundamental Theorem of Calculus



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Daily Life and Mathematic: Student and Content Constructions

theorems are used The greatest difference of theorem from axiom is the requirement for proof (MEB, 2011) On the other hand, at the tertiary level, the terms proposition, theorem, and proof are explained as follows: Proposition is defined as the statement which can be matched with one, only one of “true” and “false” The



The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus The Fundamental Theorem of Calculus shows that di erentiation and Integration are inverse processes Consider the function f(t) = t For any value of x > 0, I can calculate the de nite integral Z x 0 f(t)dt = Z x 0 tdt: by nding the area under the curve: 18 16 14 12 10 8 6 4 2 Ð 2 Ð 4 Ð 6 Ð 8 Ð 10 Ð 12



95 Equivalence Relations

The proof of Theorem 2 is divided into two parts: rst, a proof that A is the union of the equivalence classes of R and second, a proof that the intersection of any two distinct equivalence classes is empty The proof of the rst part follows from the fact that the relation is re exive The proof of the second part follows from the corollary



AP Calculus extracted

the analytical and graphical analysis of functions so defined Calculus texts often present the two statements of the Fundamental Theorem at once and refer to them as Part I and Part II, although even the most popular texts do not agree on which statement is Part I and which is Part II In these materials, we refer to the two parts



Chapter 3

The next theorem states that the composition of continuous functions is continuous Note carefully the points at which we assume f and g are continuous Theorem 3 18 Let f: A → R and g: B → R where f(A) ⊂ B If f is continuous at c ∈ A and g is continuous at f(c) ∈ B, then g f: A → R is continuous at c Proof Let ϵ > 0 be given





The Hahn–Banach theorem

extension theorem for continuous linear functionals defined on a proper linear subspace of X (this result is a kind of analogue of the Tietze extension theorem for general continuous functions defined on a proper closed subset of an arbitrary metric space X): Theorem 6 1 (Hahn–Banach theorem for normed linear spaces)1 Let X be a real or



Picard’s Existence and Uniqueness Theorem

To prove the theorem we first show that the functions in the sequence yn+1 = G[yn] are well-defined; that is, every function in the sequence {yn(x)} is in the set S Next we show that this sequence converges uniformly to a function y 1 2 S Finally, we show that this limit is a fixed point of G, that is, y 1 = G[y 1] Proof: Take any



Divergence Theorem Examples

The divergence theorem can also be used to evaluate triple integrals by turning them into surface integrals This depends on finding a vector field whose divergence is equal to the given function

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