Trigonometry Identities
Trigonometry General Solutions
| Trigonometric Equations | General Solutions |
|---|---|
Perimeters, Areas, Volumes
| Shape | TSA Formula | CSA Formula | Volume Formula |
|---|---|---|---|
| Line | N/A | N/A | N/A |
| Square | N/A | N/A | |
| Rectangle | N/A | N/A | |
| Circle | N/A | N/A | |
| Triangle | N/A | N/A | |
| Cube | N/A | ||
| Cuboid | N/A | ||
| Sphere | |||
| Cylinder | |||
| Cone | |||
| Hemisphere | |||
| Rectangular Prism | N/A | ||
| Pyramid | |||
| Torus | N/A | ||
| Ellipse | N/A | N/A | |
| Parallelogram | N/A | ||
| Trapezium | N/A | ||
| Sector | |||
| Circular Segment | N/A | ||
| Frustum of Cone |
Integration
General Integrations
Special Integrations
- general inverse trigonometry substitution results
- general logarithms substitution results
- inverse and algebra combined general results
Product Rule Results
Important Substituitions
- Whenever there is a high power inside a power in integrate, take it common, put it equal to
tand apply substituion. - If log is becoming a problem, using substitution and put that logarithm term as
t - Wherever you see in integration, just put it equal to
tand apply substitution.- Wherever you see in integration, just put it equal to
1/tand apply substitution.
- For following integration
- If the index of sinx is a positive odd integer, put
cosx = tand apply substituition - If the index of cosx is a positive odd integer, put
sinx = tand apply substituition
- If the index of sinx is a positive odd integer, put
- Never fear to put = t and apply substitution
- If sin(2x) has
cosx - sinxnear it , putt = cosx + sinx - If sin(2x) has
cosx + sinxnear it , putt = cosx - sinx
- put x = for following
- put x = for following
Integration of Algebric Expressions
- if P(x) is constant, just complete the square in the denominator
- if P(x) is linear or quadratic then use the algorithm to represent quadratic/linear in form of another
- if degree of P(x) >= 2 then you can also use the devision algorithm to write P(x) in terms of
IMPORTANT
Above point can be used for any algebric expression where degree of numerator is greater than or equal to degree of denominator
For above integrals, devide both numerator and denominator by
- If you want to represent a linear equation in form of derivative of another quadratic, you can use following formula
After simplifying above equations, just compare the coefficients of various terms for find out value of the contstants alpha, beta and lambda
Integration by Partial Fractions
Integration By Parts
- Function whose integration is easy, is taken as the second function
- If integrad contains only 1 function which cannot be integrated directory, then we take second function as 1 and try By Parts
- Usually, first function is taken in order of ILATE i.e inverse function, log function, algebric function, trigonometric function and then exponential function
Inverse Trigonometry
Domain-Range Table
Here, family 1,2 are only used in order to group functions with similar domain and range together for better understanding.
| Family 1 | Family 2 | ||||
|---|---|---|---|---|---|
| Function | Domain | Range | Function | Domain | Range |
Inverse Trigonometric function of -x
| Family 1 | Family 2 |
|---|---|
ITF Conversion Formulas
Single Angle, Multiple ITC Formulas
Multiple Angle Formulas
ITF Multiple Formulas
Limits and Derivatives
Limits
Derivatives
Matrices and Determinants
Types of Matrices
- Row Matrix: A matrix with only 1 row.
- Column Matrix: A matrix with only 1 column.
- Square Matrix: A matrix with an equal number of rows and columns.
- Rectangular Matrix: A matrix with an unequal number of rows and columns.
- Zero Matrix: A matrix where all elements are zero, regardless of size.
- Diagonal Matrix: A square matrix where all elements except for the main diagonal are zero.
- Scalar Matrix: A square matrix with a constant value on the diagonal and zeros elsewhere.
- Unity Matrix: A matrix where all elements are 1, regardless of size.
- Identity Matrix: A square matrix with 1s along the main diagonal and 0s elsewhere.
- Upper Triangular Matrix: A square matrix where all elements below the diagonal are zero.
- Lower Triangular Matrix: A square matrix where all elements above the diagonal are zero.
- Symmetric Matrix: A square matrix that is equal to its transpose.
- Skew-Symmetric Matrix: A square matrix that is equal to the negative of its transpose.
- Non-Singular (Invertible) Matrix: A square matrix with a non-zero determinant.
- Singular (Non-Invertible) Matrix: A square matrix with a determinant of zero.
- Involutory Matrix: A square matrix that is its own inverse, meaning , where is the identity matrix.
- Orthogonal Matrix: A square matrix such that .
- Important: Its determinant is .
- Conditions:
- Magnitude of every column must be 1.
- Dot product of columns must be zero.
- Idempotent Matrix: A square matrix such that for every .
- Matrix with : Its determinant is either 1 or -1.
- Inverse Matrix: A square matrix B is called the inverse of A if
Key Points about Matrices
- Left Distribution Law: .
- Right Distribution Law: .
- If is symmetric, then is skew-symmetric.
- Any square matrix can be expressed as a sum of a symmetric and skew-symmetric matrix:
- Here, (symmetric) and (skew-symmetric).
- The product is symmetric if and only if .
- The sum is symmetric, while is skew-symmetric.
- .
Properties of Determinants
- The value of a determinant remains unchanged if its rows and columns are interchanged.
- If any two rows (or columns) of a determinant are interchanged, the sign of the determinant changes.
- If any two rows (or columns) of a determinant are identical, the value of the determinant is zero.
- If all elements of a row (or column) are multiplied by a scalar , the value of the determinant is also multiplied by :
- If some or all elements of a row (or column) are expressed as the sum of two (or more) terms, the determinant can be expressed as the sum of two (or more) determinants of the same order:
- The value of the determinant is not altered by adding or subtracting a multiple of any row (or column) to another row (or column):
- Factor Theorem: If substituting makes the determinant vanish, then is a factor of the determinant.
Cofactor Determinant
The determinant formed by replacing all elements of a determinant with their respective cofactors is called the cofactor determinant. If is the cofactor determinant of , then:
Determinants Key Points
- Determinant operations always yield scalar values.
- If is any scalar and is any matrix, then , where is the order of matrix .
- The area of a triangle with vertices , , can be found using the determinant:
- The inverse of a square matrix (if it exists) is given by:
- The product of a matrix and its adjugate is:
- The product of a matrix and its inverse is:
- The inverse exists only when is a non-singular matrix.
- The inverse of a square matrix, if it exists, is unique.
- If is a non-singular matrix, then both and are also non-singular.
- The determinant of a skew-symmetric matrix of odd order is zero.
- The determinant of a skew-symmetric matrix of even order is a non-zero perfect square.
- For a square matrix A, .
Determinant Results