Show that the vertical stretches and shrinks does not change the x -intercept and explain the reason.
The transformation obtained by multiplication of a constant to the function so x -intercept remains unchanged.
Given:
Take an equation
for example whose graph is as follows:
1
Concept Used:
The graph of
1) If
2) If
And, the graph of
1) If
2) If
The transformation of horizontal stretches or shrinks from
The graph of
The transformation of vertical stretches or shrinks from
The graph of
The graph of
Calculation:
Transform the graph of
Now, transform
So, in both the case of vertical stretch and shrink, the x -intercept of graph remains unchanged.
Since, a graph of
In the transformation of vertical stretch or shrink the equation is transformed by multiplication of a constant c to the function
Conclusion The transformation obtained by multiplication of a constant to the function so x -intercept remains unchanged.
Chapter 1 Solutions
PRECALCULUS:GRAPHICAL,...-NASTA ED.
- How to find the radius of convergence for the series in the image below? I'm stuck on how to isolate the x in the interval of convergence.arrow_forwardDetermine the exact signed area between the curve g(x): x-axis on the interval [0,1]. = tan2/5 secx dx andarrow_forwardSet up the partial fraction expansion of the function below. Do not explicitly solve for the variables 5 x²(x − 2)(x − 3)³ (24 - 81)² -arrow_forward
- Draw the triangle and show all the workarrow_forwardsolve these pleasearrow_forwardA factorization A = PDP 1 is not unique. For A= 7 2 -4 1 1 1 5 0 2 1 one factorization is P = D= and P-1 30 = Use this information with D₁ = to find a matrix P₁ such that - -1 -2 0 3 1 - - 1 05 A-P,D,P P1 (Type an integer or simplified fraction for each matrix element.)arrow_forward
- Matrix A is factored in the form PDP 1. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 30 -1 - 1 0 -1 400 0 0 1 A= 3 4 3 0 1 3 040 3 1 3 0 0 4 1 0 0 003 -1 0 -1 Select the correct choice below and fill in the answer boxes to complete your choice. (Use a comma to separate vectors as needed.) A basis for the corresponding eigenspace is { A. There is one distinct eigenvalue, λ = B. In ascending order, the two distinct eigenvalues are λ₁ ... = and 2 = Bases for the corresponding eigenspaces are { and ( ), respectively. C. In ascending order, the three distinct eigenvalues are λ₁ = = 12/2 = and 3 = Bases for the corresponding eigenspaces are {}, }, and { respectively.arrow_forwardN Page 0.6. 0.4. 0.2- -0.2- -0.4- -6.6 -5 W 10arrow_forwardDiagonalize the following matrix, if possible. 8 0 6 - 8 Select the correct choice below and, if necessary, fill in the answer box to complete your choice. 8 0 OA. For P= D= 0 3 6 0 B. For P = D= 0 -6 8 0 C. For P = D= 0 - 8 D. The matrix cannot be diagonalized.arrow_forward
- Calculus: Early TranscendentalsCalculusISBN:9781285741550Author:James StewartPublisher:Cengage LearningThomas' Calculus (14th Edition)CalculusISBN:9780134438986Author:Joel R. Hass, Christopher E. Heil, Maurice D. WeirPublisher:PEARSONCalculus: Early Transcendentals (3rd Edition)CalculusISBN:9780134763644Author:William L. Briggs, Lyle Cochran, Bernard Gillett, Eric SchulzPublisher:PEARSON
- Calculus: Early TranscendentalsCalculusISBN:9781319050740Author:Jon Rogawski, Colin Adams, Robert FranzosaPublisher:W. H. FreemanCalculus: Early Transcendental FunctionsCalculusISBN:9781337552516Author:Ron Larson, Bruce H. EdwardsPublisher:Cengage Learning





