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Last updated 1:45 AM on 10/13/26
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20 Terms

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Continuity

at a point if its graph has no breaks, holes, or jumps at that point. Mathematically, a function f(x) is continuous at x=c if:

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Differentiability

at a point if it has a well-defined tangent (slope) at that point (means that the derivative is there: Left Hand and Right Hand Derivative) In simple words: The graph must be smooth at that point — no sharp corners or vertical tangents

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Georg Friedrich Bernhard Riemann

was a German mathematician who made profound contributions to analysis, number theory, and differential geometry . In the field of real analysis, he is mostly known for the first rigorous formulation of the integral, the Riemann integral, and his work on Fourier series

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Riemann sum

n approximation of a region's area, obtained by adding up the areas of multiple simplified slices of the region. It is applied in calculus to formalize the method of exhaustion, used to determine the area of a region. This process yields the integral, which computes the value of the area exactly

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Taylor series

is of great

value in the study of numerical methods. It provides a means to predict a

function value at one point in terms of the function value and its derivatives

at another point. In particular, the theorem states that any smooth function

can be approximated as a polynomia

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matrix

is any rectangular array of numbers or functions:

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entries or elements

The number or functions in the array

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square matrix

An n × n matrix

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main diagonal entries


For an n × n square matrix, the entries aa11, a22, a33,

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column vector

An n × 1

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row vecto

A 1 × n matrix

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different

Matrices that are not equal

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MATRIX TRANSPOSITION


We obtain the transpose of a matric by writing its rows as columns (or

equivalently its columns as rows).

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Symmetric

matrices are square matrices whose transpose equals the matrix

itsel

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Skew-symmetric

matrices are square matrices whose transpose equals

minus the matrix


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Upper triangular matrices

are square matrices that can have nonzero entries

only on and above the main diagonal, whereas any entry below the diagonal

must be zero

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Lower triangular matrices

are square matrices that can have nonzero entries

only on and below the main diagonal, whereas any entry above the diagonal

must be zero


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Diagonal Matrices

These are square matrices that can have nonzero entries only on the main

diagonal. Any entry above or below the main diagonal must be zero

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Scalar Matrice

f all the diagonal entries of a diagonal matrix s are equal, we call s

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unit matrix

In particular, a scalar matrix, whose entries on the main diagonal are all 1, is denoted by I