Rahul M R Salimath
Experienced tutor helping for grade improvement
Show all photos
Rahul M R Salimath
Bachelors degree
/ 55 min
CoTutorAI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Student types for physics class
Quick homework help
90% of students receive physics assignment help on time, providing timely assistance for better results.
Strong focus on conceptual clarity
9 out of 10 students report better understanding of physics concepts like electromagnetism, relativity, and waves.
Highly rated for punctuality
Always on time, every time, with no delays, ensuring a smooth learning experience for all students.
Physics concepts taught by Rahul
Student and Tutor reviewed the calculation of eigenvalues for a 2x2 matrix, successfully identifying them. The session then introduced the process of finding eigenvectors, working through an example problem step-by-step. The student received additional practice questions, including 2x2 and 3x3 matrices, for independent revision.
Eigenvalues for 2x2 Matrices
Eigenvectors for 2x2 Matrices
Matrix-Vector Multiplication (2x2 with 2x1)
Student and Tutor reviewed the student's homework on polynomial division. The session then focused on advanced matrix operations, including calculating eigenvalues for 2x2 matrices with and without unknown variables, and initiating the process of finding corresponding eigenvectors. The Student was assigned to complete the calculation of the second eigenvector as homework, and 'diagonalizing matrices' was planned for the next class.
Polynomial Division with Remainders
Calculating Eigenvalues (λ) for 2x2 Matrices
Solving Quadratic Equations for Eigenvalues (Special Case: c=0)
Eigenvalues in Terms of an Unknown Variable
Calculating Eigenvectors (X)
The Student and Tutor focused on practicing polynomial long division, working through examples of quadratic expressions divided by linear expressions. They covered cases that resulted in both zero and non-zero remainders, with the Tutor also demonstrating the middle term split method for quadratic factorization. The Tutor plans to send the Student additional practice questions.
Interactive Whiteboard: PensilLab Features
Efficient Navigation & Use of PensilLab
Polynomial Long Division
Factoring Quadratic Equations (Middle Term Split)
Handling Remainders in Polynomial Division
The Tutor and Student worked on solving quadratic equations without a constant term, demonstrating the factoring process. They then progressed to finding the eigenvalues of a 3x3 matrix, which involved calculating its determinant to derive a cubic characteristic equation, followed by using polynomial long division and factorization to find its roots. The Tutor was advised to review the solution after class.
Solving Cubic Equations: Factor Theorem & Polynomial Long Division
Roots and Factors of Polynomials
Determinant Calculation for 3x3 Matrices
Eigenvalue Calculation for 3x3 Matrices (A - λI)
Solving Quadratic Equations by Factoring (Missing Constant)
The Student and Tutor reviewed the process of finding eigenvalues for 2x2 matrices. They practiced using the formula `det(A - λI) = 0` to derive quadratic equations, which were then solved using both the quadratic formula and the product sum (middle term split) factorization method. Homework on quadratic equations was planned for further practice.
Characteristic Equation (A - λI = 0)
Polynomial Degree and Number of Solutions
Solving Quadratic Equations: Product-Sum Method (Middle Term Split)
Solving Quadratic Equations: Quadratic Formula
Determinant of a 2x2 Matrix
The Student and Tutor reviewed the process of finding the inverse of a matrix to solve systems of linear equations, practicing calculations for co-factors, adjoints, and determinants. The session then introduced the new academic concept of eigenvalues and eigenvectors, including their fundamental equation and characteristic equation. They worked through a 2x2 matrix example to calculate eigenvalues, and the Student will review this new concept for the next class.
Setting Up Matrix Equations (Ax=B)
Calculating Co-factors and Adjoint Matrix
Determinant of a Matrix
Solving Systems with Inverse Matrix (X = A⁻¹B)
Introduction to Eigenvalues (λ) and Eigenvectors (x)
The Characteristic Equation for Eigenvalues
Calculating Eigenvalues via Quadratic Equation
Physics tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
