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{{T}}
[[Category:English]]
[[Category:Exponential and Logarithmic Functions]]

{{BR}}
= Introduction =

Exponential and logarithmic functions describe change across many areas of mathematics, science, technology, economics, and everyday life. This aiMOOC is designed for learners in '''Grades 11–13'''. You will learn how exponential and logarithmic functions are defined, how their graphs behave, how they are connected as inverse functions, how to solve equations involving them, and how to use them in realistic models.

You should already be comfortable with [[English:Functions|Functions]], powers, roots, algebraic manipulation, coordinate graphs, and solving equations. By the end of the course, you should be able to choose and justify an exponential or logarithmic model, interpret its parameters, solve related equations, check domain restrictions, and explain your reasoning in words, symbols, tables, and graphs.

[[File:Exponential function and logarithm.svg|500px|frameless|center]]

The image above connects an exponential function with its logarithm. Keep this inverse relationship in mind throughout the course: exponentials answer questions about '''outputs produced by powers''', while logarithms answer questions about '''the exponent needed to produce a given output'''.

{{#ev:youtube|https://www.youtube.com/watch?v=6WMZ7J0wwMI|500|center}}

{{BR}}
= Learning Goals =

After completing this aiMOOC, you should be able to explain the meaning of an exponential function, distinguish growth from decay, interpret the base and initial value, describe the role of horizontal and vertical asymptotes, convert between exponential and logarithmic form, use logarithm laws correctly, solve exponential and logarithmic equations, and apply these ideas to compound interest, half-life, and other quantitative contexts.

You should also be able to evaluate whether a model is reasonable. A mathematically correct calculation is not enough if the assumptions, units, domain, or interpretation do not fit the situation.

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= Exponential Functions =

{{BR}}
== Definition and Basic Form ==

An '''exponential function''' has the form

<math>f(x)=a\cdot b^x</math>

where <math>a\neq 0</math>, <math>b>0</math>, and <math>b\neq 1</math>. The variable is in the exponent. The number <math>a</math> gives the value at <math>x=0</math>, because <math>b^0=1</math>. The number <math>b</math> is the growth or decay factor for a one-unit increase in <math>x</math>.

For the basic function <math>f(x)=b^x</math>, the domain is all real numbers and the range is all positive real numbers. The graph passes through <math>(0,1)</math>. The horizontal axis <math>y=0</math> is a horizontal asymptote: the graph can approach it without reaching it.

[[File:Exp.svg|500px|frameless|center]]

If <math>b>1</math>, the function is increasing and models '''exponential growth'''. If <math>0<b<1</math>, the function is decreasing and models '''exponential decay'''. The percentage change per unit is constant even though the absolute change is not.

For example, a quantity that grows by 5 percent per year can be modeled with a factor of <math>1.05</math>. A quantity that decreases by 12 percent per year can be modeled with a factor of <math>0.88</math>.

{{BR}}
== Transformations of Exponential Graphs ==

A transformed exponential function can be written as

<math>f(x)=A\cdot b^{x-h}+k</math>.

The parameter <math>h</math> shifts the graph horizontally, <math>k</math> shifts it vertically, and <math>A</math> scales the graph vertically. If <math>A</math> is negative, the graph is reflected across the horizontal axis. The horizontal asymptote becomes <math>y=k</math>.

When you analyze a transformed function, identify the asymptote first. Then inspect the sign of <math>A</math>, the base <math>b</math>, and the shifts. This makes the graph easier to predict before plotting points.

{{BR}}
== Growth Factors, Decay Factors, and Rates ==

A relative growth rate <math>r</math> corresponds to the factor <math>1+r</math>. A relative decay rate <math>r</math> corresponds to the factor <math>1-r</math>. Rates must be written as decimals in formulas.

A model with initial amount <math>P_0</math> and constant relative change per period is

<math>P(t)=P_0(1+r)^t</math>

for growth, or

<math>P(t)=P_0(1-r)^t</math>

for decay.

The same idea can be written using doubling time <math>T_d</math>:

<math>P(t)=P_0\cdot 2^{t/T_d}</math>.

For half-life <math>T_{1/2}</math>, a common decay model is

<math>P(t)=P_0\left(\frac12\right)^{t/T_{1/2}}</math>.

{{#ev:youtube|https://www.youtube.com/watch?v=AXAMVxaxjDg|500|center}}

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= Logarithmic Functions =

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== Logarithms as Inverse Functions ==

A logarithm reverses exponentiation. For <math>b>0</math>, <math>b\neq 1</math>, and <math>x>0</math>,

<math>\log_b(x)=y</math>

means exactly the same as

<math>b^y=x</math>.

This equivalence is the central definition of a logarithm. For example, <math>\log_2(8)=3</math> because <math>2^3=8</math>.

The function <math>y=\log_b(x)</math> is the inverse of <math>y=b^x</math>. Their graphs are reflections of one another across the line <math>y=x</math>. Therefore, the domain and range switch: a logarithmic function has domain <math>x>0</math> and range all real numbers.

[[File:Logarithm inversefunctiontoexpB.svg|500px|frameless|center]]

The vertical line <math>x=0</math> is a vertical asymptote of the basic logarithmic function. A real logarithm of zero or of a negative number is undefined.

{{#ev:youtube|https://www.youtube.com/watch?v=mQTWzLpCcW0|500|center}}

{{BR}}
== Comparing Different Logarithm Bases ==

Common bases include base 10, base 2, and base <math>e</math>. The natural logarithm is written <math>\ln(x)</math> and means <math>\log_e(x)</math>. In computing, base 2 is especially important. In science and engineering, base 10 and natural logarithms are common.

[[File:Logarithmic functions.svg|500px|frameless|center]]

For bases greater than 1, logarithmic functions increase. For bases between 0 and 1, they decrease. All basic logarithm graphs pass through <math>(1,0)</math>, because <math>b^0=1</math>.

{{#ev:youtube|https://www.youtube.com/watch?v=zzu2POfYv0Y|500|center}}

{{BR}}
= Laws of Logarithms =

The logarithm laws convert multiplication into addition, division into subtraction, and powers into multiplication. For positive <math>M</math> and <math>N</math>,

<math>\log_b(MN)=\log_b(M)+\log_b(N)</math>

<math>\log_b\left(\frac{M}{N}\right)=\log_b(M)-\log_b(N)</math>

<math>\log_b(M^p)=p\log_b(M)</math>.

These rules follow from exponent laws. They are powerful, but they apply only when the logarithm arguments are in the real logarithm domain.

A frequent error is to assume that logarithms distribute over addition. In general,

<math>\log_b(M+N)\neq\log_b(M)+\log_b(N)</math>.

{{BR}}
== Change of Base ==

If your calculator does not directly provide <math>\log_b(x)</math>, use

<math>\log_b(x)=\frac{\ln(x)}{\ln(b)}</math>

or

<math>\log_b(x)=\frac{\log_{10}(x)}{\log_{10}(b)}</math>.

The change-of-base formula is also useful for deriving numerical answers and comparing logarithms with different bases.

{{#ev:youtube|https://www.youtube.com/watch?v=OkFdDqW9xxM|500|center}}

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= Solving Exponential Equations =

An exponential equation has the variable in an exponent. Choose a method based on the structure of the equation.

If both sides can be written using the same base, rewrite them and compare exponents. For example,

<math>8^{x-1}=4^{x+1}</math>

becomes

<math>2^{3x-3}=2^{2x+2}</math>,

so <math>3x-3=2x+2</math> and therefore <math>x=5</math>.

If the bases cannot be matched conveniently, isolate the exponential expression and take logarithms. For example,

<math>3\cdot 2^x=20</math>

gives

<math>2^x=\frac{20}{3}</math>

and therefore

<math>x=\frac{\ln(20/3)}{\ln 2}</math>.

When you use a decimal approximation, keep enough digits during intermediate steps and round only at the end unless the context requires otherwise.

{{#ev:youtube|https://www.youtube.com/watch?v=etl9KKf6se0|500|center}}

{{BR}}
= Solving Logarithmic Equations =

A logarithmic equation requires special attention to the domain. Every logarithm argument must be positive in a real-valued solution.

Consider

<math>\log_3(x-1)+\log_3(x+1)=2</math>.

First combine the logarithms:

<math>\log_3((x-1)(x+1))=2</math>.

Convert to exponential form:

<math>x^2-1=9</math>,

so <math>x^2=10</math>. Algebra gives <math>x=\pm\sqrt{10}</math>, but the original equation requires <math>x-1>0</math>. Therefore only <math>x=\sqrt{10}</math> is valid.

Always check candidate solutions in the original equation. Algebraic transformations can produce values that violate a logarithm's domain.

{{#ev:youtube|https://www.youtube.com/watch?v=Kv2iHde7Xgw|500|center}}

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= Applications =

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== Compound Interest ==

If a principal <math>P</math> earns an annual nominal interest rate <math>r</math>, compounded <math>n</math> times per year for <math>t</math> years, the balance is

<math>A=P\left(1+\frac{r}{n}\right)^{nt}</math>.

The formula is exponential because the current balance repeatedly becomes the basis for the next interest calculation.

[[File:Compound interest.svg|500px|frameless|center]]

For continuous compounding, the model is

<math>A=Pe^{rt}</math>.

To find the time required to reach a target balance, you can isolate the exponential expression and use a logarithm. This is an important example of logarithms solving for an unknown exponent.

{{BR}}
== Half-Life and Exponential Decay ==

Many decay processes are modeled with

<math>N(t)=N_0e^{-kt}</math>

for a positive decay constant <math>k</math>. The half-life is the time needed for the quantity to decrease to half its initial value. It satisfies

<math>T_{1/2}=\frac{\ln 2}{k}</math>.

[[File:Activity decay.svg|500px|frameless|center]]

A half-life model does not mean that the quantity loses the same absolute amount in every time interval. It loses the same '''fraction''' over equal intervals.

{{BR}}
== Logarithmic Scales ==

Logarithmic scales are useful when quantities span many orders of magnitude. Instead of treating equal differences as equally important, a logarithmic scale represents multiplicative ratios in a more compact way.

Examples include measures of sound intensity, acidity, and some magnitude scales used in science. When interpreting any logarithmic scale, identify the base, the reference quantity, and whether the displayed value is directly proportional to a logarithm or uses an additional scale factor.

{{BR}}
= Connecting Exponential and Logarithmic Views =

A single relationship can often be written in two complementary forms. The statement

<math>2^5=32</math>

and the statement

<math>\log_2(32)=5</math>

contain the same information.

[[File:Exponential function and logarithm.svg|500px|frameless|center]]

Thinking in both directions is useful. An exponential model predicts an amount from a time. A logarithm can reverse the model and determine the time needed to reach a specified amount.

For an increasing exponential function with base greater than 1, large output values may require only moderate changes in the input. Conversely, the corresponding logarithm grows slowly: very large changes in the input produce much smaller changes in the logarithmic output.

{{BR}}
= The Natural Exponential Function and Calculus Connection =

The number <math>e</math> is approximately <math>2.71828</math>. The function <math>e^x</math> is especially important because its derivative is itself:

<math>\frac{d}{dx}e^x=e^x</math>.

The natural logarithm is its inverse, and for <math>x>0</math>,

<math>\frac{d}{dx}\ln x=\frac{1}{x}</math>.

These relationships make <math>e^x</math> and <math>\ln x</math> central in calculus, differential equations, growth and decay models, probability, and many scientific applications. For Grade 13 or advanced learners, this connection provides a bridge from algebraic function work to calculus.

{{BR}}
= Worked Examples =

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== Example: Exponential Growth ==

A population of cells starts at 1,200 and grows by 5 percent per hour. A suitable model is

<math>P(t)=1200(1.05)^t</math>.

The initial value is 1,200, the hourly growth factor is 1.05, and the growth rate is 5 percent. To find when the population reaches 2,000, solve

<math>1200(1.05)^t=2000</math>,

so

<math>t=\frac{\ln(2000/1200)}{\ln(1.05)}</math>.

The logarithm appears because time is in the exponent.

{{BR}}
== Example: Exponential Decay ==

Suppose a quantity loses 18 percent of its value each year. The annual retention factor is <math>1-0.18=0.82</math>, so with initial value <math>V_0</math>,

<math>V(t)=V_0(0.82)^t</math>.

The model is decreasing because its base lies between 0 and 1.

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== Example: Solving with a Logarithm ==

To solve

<math>5^{2x-1}=17</math>,

take natural logarithms:

<math>(2x-1)\ln 5=\ln 17</math>.

Then

<math>x=\frac{1}{2}\left(1+\frac{\ln 17}{\ln 5}\right)</math>.

This method works because logarithms transform an exponent into a multiplier.

{{BR}}
== Example: Checking a Logarithmic Solution ==

Consider

<math>\ln(x-2)=1</math>.

Convert to exponential form:

<math>x-2=e</math>,

so <math>x=e+2</math>. The domain condition <math>x-2>0</math> is satisfied, so the solution is valid.

{{BR}}
= Common Misconceptions and Error Checks =

'''Error 1:''' Treating exponential growth as linear growth. A constant percentage change produces changing absolute increments.

'''Error 2:''' Forgetting that a logarithm argument must be positive. This can lead to invalid solutions.

'''Error 3:''' Using <math>\log(a+b)=\log a+\log b</math>. This identity is false.

'''Error 4:''' Confusing growth rate with growth factor. A 7 percent increase uses the factor 1.07, not 0.07.

'''Error 5:''' Ignoring units and time intervals. A monthly rate cannot be inserted into a yearly model without adjusting the time scale.

'''Error 6:''' Rounding too early. Premature rounding can noticeably change the final answer in multi-step exponential calculations.

{{BR}}
= Model Selection and Interpretation =

A good model begins with a question about how a quantity changes. If equal input intervals produce approximately equal '''differences''', a linear model may be appropriate. If equal input intervals produce approximately equal '''ratios''' or percentage changes, an exponential model may be more appropriate.

To test an exponential model from data, compare successive ratios when input values are equally spaced. You can also use logarithms to transform some exponential relationships into linear ones. For example, if

<math>y=Ae^{kx}</math>,

then

<math>\ln y=\ln A+kx</math>,

so a plot of <math>\ln y</math> against <math>x</math> is linear when the model fits exactly.

When using technology, do not rely on a regression output alone. Inspect the data, residuals, units, and context, and ask whether extrapolation beyond the observed range is defensible.

{{BR}}
= Interactive Tasks =

{{BR}}
== Quiz: Test Your Knowledge ==

{{MC}}

'''Which statement defines a logarithm correctly?'''
(log base b of x equals y exactly when b to the power y equals x)
(!log base b of x equals the product of b and x)
(!log base b of x equals x to the power b)
(!log base b of x equals b divided by x)

{{E}}
<br>

{{MC}}

'''What condition on the base produces exponential growth for the basic function?'''
(the base is greater than one)
(!the base equals zero)
(!the base is negative)
(!the base lies between zero and one)

{{E}}
<br>

{{MC}}

'''What is the domain of a real logarithmic function?'''
(positive real inputs)
(!all real inputs)
(!negative real inputs only)
(!nonnegative real inputs)

{{E}}
<br>

{{MC}}

'''Which expression represents a 12 percent annual decay factor?'''
(zero point eight eight)
(!one point one two)
(!zero point one two)
(!one point eight eight)

{{E}}
<br>

{{MC}}

'''Which logarithm law converts a power into a multiplier?'''
(power law)
(!sum law)
(!difference law)
(!reflection law)

{{E}}
<br>

{{MC}}

'''What is the horizontal asymptote of the basic exponential function?'''
(the x axis)
(!the y axis)
(!the line y equals one)
(!the line x equals one)

{{E}}
<br>

{{MC}}

'''Why must candidate solutions of logarithmic equations be checked?'''
(a candidate may make a logarithm argument nonpositive)
(!a logarithm always has two answers)
(!every logarithm equation has an extraneous root)
(!logarithms cannot be evaluated exactly)

{{E}}
<br>

{{MC}}

'''Which function is the inverse of the natural exponential function?'''
(the natural logarithm)
(!the square root)
(!the reciprocal function)
(!the sine function)

{{E}}
<br>

{{MC}}

'''What type of change is characteristic of an exponential model over equal time intervals?'''
(constant multiplicative change)
(!constant additive change)
(!random sign change)
(!constant second difference only)

{{E}}
<br>

{{MC}}

'''What does the change of base formula allow you to do?'''
(evaluate a logarithm using another logarithm base)
(!replace an exponent by a square root)
(!turn every exponential model into a linear model)
(!remove all domain restrictions)

{{E}}
<br>

{{BR}}
== Memory Game ==

<div class="memo-quiz">
{|
|-
| Exponential function || A function in which the variable occurs in an exponent
|-
| Logarithm || The inverse operation that determines an exponent
|-
| Growth factor || The multiplier applied during each equal growth interval
|-
| Half-life || The time required for a decaying quantity to fall to half its value
|-
| Asymptote || A line that a graph approaches in a limiting sense
|-
| Natural logarithm || The logarithm with base e
|-
| Change of base || A method for rewriting a logarithm using another base
|}
{{E}}
<br>

{{BR}}
== Drag and Drop ==

<div class="lueckentext-quiz">

{| class="wikitable"
! Match the correct terms.
! Topic
|-
| '''Exponential growth'''
| Constant positive percentage change
|-
| '''Exponential decay'''
| Constant negative percentage change
|-
| '''Inverse relationship'''
| Reflection across the line y equals x
|-
| '''Logarithm domain'''
| Positive real inputs
|-
| '''Natural base'''
| The number e
|}
{{E}}

<br>
...
<br />

{{BR}}
== Crossword Puzzle ==

<div class="kreuzwort-quiz">
{|
|-
| Exponential || What type of function has the variable in the exponent?
|-
| Logarithm || What inverse operation determines an exponent?
|-
| Asymptote || What line can a graph approach without reaching?
|-
| Doubling || What process time describes growth to twice an amount?
|-
| Halflife || What decay time reduces a quantity to half its value?
|-
| Inverse || What relationship connects exponential and logarithmic functions?
|}
{{E}}
<br>

{{BR}}
== LearningApps ==

<iframe> https://learningapps.org/index.php?s=Exponential+and+Logarithmic+Functions </iframe>

{{BR}}
== Cloze Text ==

<quiz display=simple>
{'''Complete the text.'''<br>
|type="{}"}
An exponential function has the variable in the { exponent }. For the basic model, a base greater than one produces { growth }. A base between zero and one produces { decay }. A logarithm reverses { exponentiation }. The real logarithm domain contains only { positive } inputs. The natural logarithm has base { e }. The product law turns multiplication inside a logarithm into { addition }. To solve for an unknown exponent, you can often use a { logarithm }. A constant percentage change is a key sign of an { exponential } model. In a half-life model, the quantity is multiplied by one half after each { halflife }.
</quiz>

<br>

{{BR}}
= Open-Ended Tasks =

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=== Easy ===
# [[English:Graph Comparison|Graph Comparison]]: Draw an exponential growth graph and its inverse logarithmic graph on the same axes, mark the line y equals x, and explain the symmetry in three or four sentences.
# [[English:Growth and Decay Cards|Growth and Decay Cards]]: Create a set of example cards showing four real or invented situations and classify each as growth, decay, or neither, with one sentence of justification.
# [[English:Logarithm Translation Practice|Logarithm Translation Practice]]: Write eight pairs that translate between exponential form and logarithmic form, then exchange them with a classmate for checking.
# [[English:Parameter Poster|Parameter Poster]]: Produce a one-page visual explaining what the parameters in an exponential model tell you about initial value, growth factor, decay factor, and asymptote.

{{BR}}
=== Standard ===
# [[English:Compound Interest Investigation|Compound Interest Investigation]]: Compare annual, monthly, and continuous compounding for one principal and interest rate, show your calculations in a table, and explain why the balances differ.
# [[English:Half-Life Experiment Model|Half-Life Experiment Model]]: Simulate repeated decay with coins, dice, or a spreadsheet, record the remaining quantity after each round, fit an exponential model, and discuss the difference between model and random data.
# [[English:Interview About Exponential Change|Interview About Exponential Change]]: Interview someone who works with growth, decay, finance, computing, science, or data, then summarize where multiplicative change appears in that person's work.
# [[English:Technology Graphing Study|Technology Graphing Study]]: Use graphing software to explore transformations of an exponential or logarithmic function and create annotated screenshots that explain the effect of each parameter.

{{BR}}
=== Advanced ===
# [[English:Data Modeling Project|Data Modeling Project]]: Find or collect a data set that may show exponential behavior, justify your model choice, fit a model, analyze residuals, and discuss the limits of extrapolation.
# [[English:Logarithmic Scale Explainer|Logarithmic Scale Explainer]]: Create a short video or narrated presentation explaining one logarithmic scale, including its reference quantity, mathematical structure, and interpretation of multiplicative changes.
# [[English:Linearization Investigation|Linearization Investigation]]: Use a data set modeled by y equals A times e to the power kx, transform the dependent variable with a natural logarithm, and compare the original exponential graph with the transformed linear graph.
# [[English:Calculus Connection Report|Calculus Connection Report]]: Derive or explain how the derivatives of e to the power x and natural log x connect to inverse functions, then apply the result to one growth or decay model.

{{:Open Task - Create a MOOC}}

{{BR}}
= Learning Assessment =

# [[English:Model Choice and Defense|Model Choice and Defense]]: Given three unfamiliar data sets, choose a plausible model for each, justify your choices using differences or ratios, and identify where more evidence would be needed.
# [[English:Equation Strategy|Equation Strategy]]: Solve one exponential and one logarithmic equation by two different methods where possible, compare the methods, and explain which is more efficient and why.
# [[English:Domain and Validity Analysis|Domain and Validity Analysis]]: Analyze a logarithmic equation with multiple algebraic candidates, identify all domain restrictions, and justify which candidates are valid in the original equation.
# [[English:Application Transfer|Application Transfer]]: Build an exponential model for a new context, determine a time or threshold with logarithms, and interpret the result with units and a statement about model assumptions.
# [[English:Error Analysis|Error Analysis]]: Examine a worked solution containing at least three conceptual errors, correct each error, and explain how the incorrect reasoning could be detected before calculation.
# [[English:Representation Synthesis|Representation Synthesis]]: Represent one exponential relationship as a formula, table, graph, verbal description, and inverse logarithmic statement, and explain what information becomes most visible in each form.

<br>
<br>

{{BR}}
= Evidence of Learning =

Strong evidence of learning includes accurate knowledge of the definitions and domains of exponential and logarithmic functions; fluent conversion between exponential and logarithmic form; correct use of exponent and logarithm laws; and reliable solution methods for exponential and logarithmic equations.

It also includes skills in graph interpretation, parameter analysis, model selection, use of technology, domain checking, estimation, and communication. You should be able to explain not only '''what''' you calculated but '''why''' the method is valid.

Useful products include annotated graphs, data investigations, spreadsheets, written explanations, model reports, interview summaries, experiments, presentations, and videos. High-quality work makes units, assumptions, restrictions, and limitations explicit.

Transfer is demonstrated when you recognize multiplicative change in a new setting, build or critique a model, use logarithms to reverse an exponential relationship, and judge whether the result is reasonable in context.

<br>
<br>

{{BR}}
= OERs on the Topic =

The following English Wikipedia resources provide useful background and reference material.

<iframe> https://en.m.wikipedia.org/wiki/Exponential_function </iframe>

<iframe> https://en.m.wikipedia.org/wiki/Logarithm </iframe>

<br>

{{BR}}
= Linked Learning Areas =

{| align=center
{{:D-Tab}}
'''[[English:Exponential and Logarithmic Functions|Exponential and Logarithmic Functions]]'''
# [[English:Exponential function|Exponential function]]
# [[English:Logarithm|Logarithm]]
# [[English:Inverse function|Inverse function]]
# [[English:Exponential equation|Exponential equation]]
# [[English:Logarithmic equation|Logarithmic equation]]
# [[English:Compound interest|Compound interest]]
# [[English:Exponential decay|Exponential decay]]
# [[English:Precalculus|Precalculus]]
# [[English:Calculus|Calculus]]
|}

This topic connects algebra with [[English:Functions|Functions]], [[English:Financial mathematics|Financial mathematics]], [[English:Statistics|Statistics]], [[English:Physics|Physics]], [[English:Chemistry|Chemistry]], [[English:Biology|Biology]], [[English:Computer science|Computer science]], and [[English:Calculus|Calculus]]. These links are especially useful when you want to move from symbolic manipulation to modeling, interpretation, and transfer across disciplines.

[[Category:English]]
[[Category:Mathematics]]
[[Category:Algebra]]
[[Category:Precalculus]]
[[Category:Functions]]
[[Category:Grades 11-13]]
[[Category:Exponential and Logarithmic Functions]]

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= aiMOOC Projects =
[[Category:AI_MOOC]] [[Category:GPT aiMOOC]]
{{MT}}

English:Exponential and Logarithmic Functions - Versionsgeschichte

Glanz: aiMOOC über GPT aiMOOC Action erstellt