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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:
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
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
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
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
matrix
is any rectangular array of numbers or functions:
entries or elements
The number or functions in the array
square matrix
An n × n matrix
main diagonal entries
For an n × n square matrix, the entries aa11, a22, a33,
column vector
An n × 1
row vecto
A 1 × n matrix
different
Matrices that are not equal
MATRIX TRANSPOSITION
We obtain the transpose of a matric by writing its rows as columns (or
equivalently its columns as rows).
Symmetric
matrices are square matrices whose transpose equals the matrix
itsel
Skew-symmetric
matrices are square matrices whose transpose equals
minus the matrix
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
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
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
Scalar Matrice
f all the diagonal entries of a diagonal matrix s are equal, we call s
unit matrix
In particular, a scalar matrix, whose entries on the main diagonal are all 1, is denoted by I